Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
스크립트에서 "scalping"에 대해 찾기
Standard Deviation SMA RSI | mad_tiger_slayerOverview of the Script
The Standard Deviation SMA RSI is a custom TradingView indicator that enhances the Relative Strength Index (RSI) by incorporating a Simple Moving Average (SMA) and Standard Deviation bands . This approach smooths RSI calculations while factoring in volatility to provide clearer trend signals . Additionally, the indicator includes overbought and oversold thresholds, trend-coded RSI signals , and dynamic volatility bands for improved market analysis. This indicator is designed for swing traders and long-term investors looking to capture high-probability trend shifts.
How Do Traders Use the Standard Deviation SMA RSI?
In the provided chart image, the indicator is displayed on a price chart. Each visual component serves a distinct function in identifying trend conditions and volatility levels .
INTENDED USES
⚠️ NOT INTENDED FOR SCALPING
With the smoothing nature of the SMA-based RSI , this indicator is not designed for low-timeframe scalping. It works best on timeframes above 1-hour , with optimal performance in 12-hour, daily, and higher timeframes.
📈 TREND-FOLLOWING & MEAN REVERSION
The Standard Deviation SMA RSI functions as both a trend-following and mean-reverting indicator:
Trend-Following: Identifies strong, sustained trends using RSI signals and SMA confirmation.
Mean Reversion: Detects overbought/oversold conditions based on standard deviation bands and RSI thresholds .
A VISUAL REPRESENTATION OF INTENDED USES
RSI Line (Green/Pink/Gray): The RSI line dynamically changes color based on trend conditions .
Green RSI → Strong uptrend, RSI above the uptrend threshold.
Pink RSI → Downtrend, RSI below the downtrend threshold.
Gray RSI → Neutral state or consolidation.
If the SMA of RSI is above Long Threshold , the market is in a bullish trend.
If it’s below Short Threshold, bearish conditions prevail.
Threshold Lines (Teal/Purple):
Green Line → Long Entry Threshold
Red Line → Short Entry Threshold
Standard Deviation Bands:
Upper Band → Measures bullish volatility expansion
Lower Band → Measures bearish volatility expansion
Colored Candles: Price candles adjust color based on RSI conditions , visually aligning price action with market trends.
Indicator's Primary Elements
Input Parameters
The script includes several configurable settings, allowing users to tailor the indicator to different market environments:
RSI Length: Controls the number of periods for RSI calculations.
SMA Length: Defines the period for the SMA applied to RSI , creating a smoothed trend line.
Standard Deviation Period: Determines the length for volatility calculations.
Overbought and Oversold Levels:
Can be adjusted to customize sensitivity.
Standard Deviation SMA RSI Calculation
The SMA-based RSI smooths fluctuations while the standard deviation bands measure price volatility.
Upper and Lower Bands: Calculated by adding/subtracting standard deviation to/from the SMA-based RSI.
Trend Signal Calculation:
RSI is compared to uptrend and downtrend thresholds to determine buy/sell conditions.
Long and Short Conditions
Buy and sell conditions are determined by RSI relative to key thresholds :
Bullish Signal: RSI above long threshold & SMA confirms trend .
Bearish Signal: RSI below short threshold & SMA confirms downtrend .
Reversals: RSI entering overbought/oversold areas suggests possible trend reversals.
Conclusion
The Standard Deviation SMA RSI is a powerful trend-following and mean-reverting tool , offering enhanced insights into RSI movements, volatility, and market strength . By combining SMA smoothing, standard deviation bands, and dynamic thresholds , traders can better identify trend confirmations, reversals, and overextended conditions .
✅ Customizable settings allow traders to optimize sensitivity.
✅ Works best on high timeframes (12H, Daily, Weekly).
✅ Ideal for swing traders and long-term investors.
CVD Oscillator - Short Term SwiftEdgeOverview
The CVD Oscillator - Short Term is a technical indicator designed to assist traders in identifying short-term buying and selling pressure in the market. It calculates the Cumulative Volume Delta (CVD) to measure the net volume difference between buying and selling activity, displayed as an oscillator in a separate panel. This indicator is tailored for short-term trading strategies, such as scalping or day trading, on low timeframes (e.g., 1-minute, 5-minute, or 15-minute charts).
How It Works
Cumulative Volume Delta (CVD): The indicator calculates CVD by assigning volume to buyers (when close > open) or sellers (when close < open). If close = open, the volume is neutral.
Short-Term Focus: The CVD is calculated over a user-defined lookback period (default: 10 candles), making it sensitive to recent market activity.
Normalization: The raw CVD is normalized by dividing it by the average volume (over a short period, default: 5 candles) and scaled to fit within a range of -100 to +100, creating an oscillator-like behavior.
Reset Options: Users can reset the CVD at specific intervals (e.g., every minute, 5 minutes, 15 minutes, or daily) to focus on intraday movements.
Live CVD Value: The raw (unnormalized) CVD value is displayed as a label on each candle for real-time monitoring.
Key Features
Customizable Lookback Period: Adjust the number of recent candles (default: 10) to calculate CVD, allowing for precise short-term analysis.
Flexible Reset Periods: Choose to reset the CVD every 1 minute, 5 minutes, 15 minutes, daily, or never, to suit your trading style.
Normalized Oscillator: The CVD is scaled between -100 and +100, making it easier to visualize short-term momentum.
Live CVD Labels: Displays the raw CVD value on each candle, with options to position the label above or below the oscillator line.
How to Use
Add to Chart: Apply the indicator to your chart on a low timeframe (e.g., 1m, 5m, or 15m) for short-term trading.
Interpret the Oscillator:
Above 0 (Green): Indicates buying pressure dominates.
Below 0 (Red): Indicates selling pressure dominates.
Near 0: Suggests neutral market conditions.
Monitor Live CVD: Use the raw CVD value (shown in the label) to assess the exact net volume difference over the lookback period.
Combine with Other Tools: Use the oscillator alongside price action, support/resistance levels, or other indicators to confirm trading decisions.
Adjust Settings:
CVD Lookback Period: Set to a small value (e.g., 5-20 candles) for scalping.
CVD Reset Period: Choose "1m" or "5m" for intraday resets to focus on very short-term trends.
Volume Average Length: Use a short length (e.g., 3-5) for faster responsiveness.
Scale Factor: Increase (e.g., 2.0-3.0) to amplify small changes in CVD.
Settings
CVD Reset Period: Defines when to reset the CVD calculation ("None", "D" for daily, "15m", "5m", "1m").
CVD Lookback Period (Candles): Number of recent candles to calculate CVD (default: 10).
Volume Average Length: Period for averaging volume to normalize CVD (default: 5).
CVD Scale Factor: Adjusts the sensitivity of the normalized CVD (default: 2.0).
CVD Label Position: Choose to display the raw CVD label above or below the oscillator line.
CVD Label Color: Customize the color of the CVD label (default: white).
Limitations
Not a Standalone Tool: This indicator should be used in conjunction with other technical analysis tools, as it does not guarantee profitable trades.
Volume Dependency: The accuracy of CVD relies on the quality of volume data provided by your broker or exchange.
Short-Term Focus: The indicator is optimized for low timeframes and may produce noise on higher timeframes unless adjusted.
No Predictive Claims: The CVD Oscillator reflects past and current market activity but does not predict future price movements.
Notes
This indicator is designed for informational purposes and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results.
Test the indicator on a demo account to understand its behavior before using it in live trading.
Feedback is welcome! If you have suggestions for improvements, feel free to share them in the comments.
Reversal rehersal v1This indicator was designed to identify potential market reversal zones using a combination of RSI thresholds (shooting range/falling range), candlestick patterns, and Fair Value Gaps (FVGs). By combining all these elements into one indicator, it allow for outputting high probability buy/sell signals for use by scalpers on low timeframes like 1-15 mins, for quick but small profits.
Note: that this has been mainly tested on DE40 index on the 1 min timeframe, and need to be adjusted to whichever timeframe and symbol you intend to use. Refer to the backtester feature for checking if this indicator may work for you.
The indicator use RSI ranges from two timeframes to highlight where momentum is building up. During these areas, it will look for certain candlestick patterns (Sweeps as the primary one) and check for existance of fair value gaps to further enhance the hitrate of the signal.
The logic for FVG detection was based on ©pmk07's work with MTF FVG tiny indicator. Several major changes was implemented though and incorporated into this indicator. Among these are:
Automatically adjustments of FVG boxes when mitigated partially and options to extend/cull boxes for performance and clarity.
Backtesting Table (Experimental):
This indicator also features an optional simplified table to review historical theoretical performance of signals, including win rate, profit/loss, and trade statistics. This does not take commision or slippage into consideration.
Usage Notes:
Setup:
1. Add the indicator to your chart.
2. Decide if you want to use Long or Short (or both).
3. If you're scalping on ie. 1 min time frame, make sure to set FVG's to higher timeframes (ie. 5, 15, 60).
4. Enable the 'Show backtest results' and adjust the 'Signals' og 'Take profit' and 'Stop loss' values until you are satisfied with the results.
Use:
1. Setup an alert based on either of the 'BullishShooting range' or 'BearishFalling range' alerts. This will draw your attention to watch for the possible setups.
2. Verify if there's a significant imbalance prior to the signal before taking the trade. Otherwise this may invalidate the setup.
3. Once a signal is shown on the graph (either Green arrow up for buys/Red arrow down for sells) - you should enter a trade with the given 'Take profit' and 'Stop loss' values.
4. (optional) Setup an alert for either the Strong/Weak signals. Which corresponds to when one of the arrows are printed.
Important: This is the way I use it myself, but use at own risk and remember to combine with other indicators for further confluence. Remember this is no crystal ball and I do not guarantee profitable results. The indicator merely show signals with high probability setups for scalping.
Flashtrader´s Statistical BandwidthsThe vast majority of traders exclusively concern
themselves with trend-following in all its facets. Scoring
points with trends on a regular basis is a difficult task
since prices do not constantly move in one direction
or another. In the case of the DAX future, for example,
only about 30 per cent of all trading days in a year are
trend days. And of these, there are x percent long ones
and x per cent short ones. Catching the very days when
prices rise or fall from the opening to the close is a major
challenge for a trader who also needs to have previously
recognised the corresponding direction.
However, there are also other ways of profit-taking
every day – for example, by using the mean reversion
strategy. The idea behind this is the fact that prices reach
a high and a low every day – but very rarely close at the
high or the low. This means that prices always move
away from these extreme points and the closing price is
somewhere in between. A profitable trading strategy can
be developed out of this.
But how can you know where the high and the low
will be tomorrow? Is it possible for you to know this in
advance? No – because no one can predict the future. Or
can they? At least it can be statistically determined how
high or low prices could go tomorrow. There is a high
degree of probability that one of the two possibilities
will materialise. It will then be necessary to act.
Calculation
Classic pivot points for the following day are calculated
from the high, low and closing price. But does it really
make sense to use such a mix? I don’t think so and
use a different calculation for this strategy. In a first step,
only the differences between the start and the high or low
are calculated on a daily basis. To avoid being dependent
on individual days and outliers, it is advisable to calculate,
in a second step, the average of these differences over
the past five days. Finally, this average will then be added
at the opening price of the current trading day for the
upper statistical bandwidth and subtracted for the lower
bandwidth.
upper bandwidth = oSTB (violet dashed line in the chart)
lower bandwidth = uSTB (violet dashedline in the chart)
The second interesting question is, if the previous day's high has been exceeded, how much further can the price rise from a mathematical/statistical point of view?
These calculated previous day highs expansions are shown as red dashed lines
Previous day's high expansion = VTHA
Previous day's low expansion = VTTA
For further orientation, the previous day's high (VTH) and the previous day's low (VTT) are shown in light blue dashed lines
And as a supplement, the previous day's close in the DAX Future at 10:00 p.m. VTSA in violet solid lines and the previous day's close in the cash register at 5:30 p.m. VTSN in yellow solid lines
Reaching the calculated extreme values does not mean that the trend has to change immediately, but there is at least temporary exhaustion potential with which you can earn a few points every day in the area of scalping.
Example for cheap entry long:
Example for cheap entry short:
Deutsch:
Die Masse der Trader beschäftigt sich ausschließlich mit Trendfolge in all ihren Facetten. Mit Trends regelmäßig zu punkten ist ein schwieriges Unterfangen, da die Kurse nicht ständig in die eine oder andere Richtung laufen. Beim DAX-Future zum Beispiel sind von allen Börsentagen im Jahr lediglich zirka 30 Prozent Trendtage. Davon sind dann auch noch x Prozent Long und x Prozent Short. Hier genau die Tage abzupassen, an denen die Kurse von Börsenbeginn bis zum Schluss steigen beziehungsweise fallen, ist eine große Herausforderung – wobei der Trader zuvor noch die entsprechende Richtung erkannt haben muss. Es gibt jedoch auch noch andere Methoden täglich Gewinne mitzunehmen, zum Beispiel mit der Mean-Reversion-Strategie (Mittelwertumkehr).
Hintergrund ist die Tatsache, dass die Kurse jeden Tag ein Hoch und ein Tief erreichen – aber sehr selten am Hoch oder am Tief schließen. Das bedeutet, dass die Preise sich immer wie der von diesen Extrempunkten wegbewegen und der Schlusskurs irgendwo dazwischen liegt. Hieraus lässt sich eine profitable Handelsstrategie entwickeln. Aber woher kannst Du wissen, wo morgen das Hoch und das Tief sein wird? Kannst Du das vorher schon wissen? Nein – denn niemand kann die Zukunft vorhersagen. Oder doch? Statistisch lässt sich zumindest bestimmen, wie hoch und wie tief die Kurse morgen steigen oder fallen könnten. Eine Seite wird mit sehr hoher Wahrscheinlichkeit ein treffen. Dann gilt es zu handeln.
Berechnung Klassischer Pivot-Punkte für den folgenden Tag werden aus Hoch, Tief und Schlusskurs berechnet. Aber ist es wirklich sinnvoll, einen solchen Mix zu verwenden? Ich finde das nicht und verwenden für diese Strategie eine andere Berechnung. Im ersten Schritt werden täglich die Differenzen nur vom Start bis zum Hoch beziehungsweise Tief errechnet. Um nicht von einzelnen Tagen und Ausreißern abhängig zu sein, empfiehlt es sich, in einem zweiten Schritt den Durchschnitt dieser Differenzen über die letzten fünf Tage zu errechnen. Zuletzt wird dann dieser Durchschnitt zum Eröffnungskurs des aktuellen Handelstages für die obere statistische Bandbreite addiert und für die untere Bandbreite subtrahiert.
Obere statistische Bandbreite = oSTB (violette gestrichelte Linie im Chart)
Untere statistische Bandbreite = uSTB (violette gestrichelte Linie im Chart)
Die zweite interessante Frage ist, wenn das Vortageshoch überschritten wurde, wie weit kann der Kurs dann noch steigen aus mathematisch/statistischer Sicht?
Diese berechneten Vortagesextremausdehnungen sind als rote gestrichelte Linien dargestellt
Vortageshochausdehnung = VTHA
Vortagestiefausdehnung = VTTA
Für die weitere Orientierung sind die Vortageshochs (VTH) und die Vortagestiefs (VTT) als hellblaue gestrichelte Linien abgebildet.
Als Ergänzung wird noch der Vortages Schluss im Dax Future um 22:00 Uhr VTSA mit einer violetten durchgezogenen Linie und der Kassamarktschluss um 17:30 Uhr mit einer gelben durchgezogenen Linie gezeigt.
Das Erreichen der berechneten Extremwerte bedeutet nicht, das der Trend sofort drehen muss, aber es sind zumindest temporäre Erschöpfungspotentiale mit denen sich im Bereich scalping täglich einige Punkte verdienen lassen.
Beispiel für günstigen Einstieg Long:
Beispiel für günstigen Einstieg Short:
RSI with Bollinger Bands Scalp Startegy (1min)
------------------------------------------------------------------------------
The "RSI with Bollinger Bands Scalp Strategy (1min)" is a highly effective tool designed for traders who engage in short-term scalping on the 1-minute chart. This indicator combines the strengths of the RSI (Relative Strength Index) and Bollinger Bands to generate precise buy signals, helping traders make quick and informed decisions in fast-moving markets.
How It Works:
RSI (Relative Strength Index):
The RSI is a widely-used momentum oscillator that measures the speed and change of price movements. It operates on a scale of 0 to 100 and helps identify overbought and oversold conditions in the market.
This strategy allows customization of the RSI's lower and upper bands (default settings: 30 for the lower band and 70 for the upper band) and the RSI length (default: 14).
Bollinger Bands:
Bollinger Bands consist of a central moving average (the basis) and two bands that represent standard deviations above and below the basis. These bands expand and contract based on market volatility.
In this strategy, the Bollinger Bands are used to identify potential buy and sell signals based on the price's relationship to the upper and lower bands.
Signal Generation:
Buy Signal: A buy signal is triggered when two conditions are met:
The RSI value falls below the specified lower band, indicating an oversold condition.
The price crosses below the lower Bollinger Band.
The buy signal is then issued on the first positive candle (where the closing price is greater than or equal to the opening price) after these conditions are met.
Sell Signal: In this version of the strategy, the sell signal is currently disabled to focus solely on generating and optimizing the buy signals for scalping.
Strategy Highlights:
This indicator is particularly effective for traders who focus on 1-minute charts and want to capitalize on rapid price movements.
The combination of RSI and Bollinger Bands ensures that buy signals are only generated during significant oversold conditions, helping to filter out false signals.
Customization:
Users can adjust the RSI length, Bollinger Bands length, and the standard deviation multiplier to better fit their specific trading style and the asset they are trading.
The moving average type for Bollinger Bands can be selected from various options, including SMA, EMA, SMMA, WMA, and VWMA, allowing further customization based on individual preferences.
Usage:
Use this indicator on a 1-minute chart to identify potential buy opportunities during short-term price dips.
Since the sell signals are disabled, this strategy is best used in conjunction with other indicators or strategies to manage exit points effectively.
This "RSI with Bollinger Bands Scalp Strategy (1min)" indicator is a valuable tool for traders looking to enhance their short-term trading performance by focusing on high-probability entry points in volatile market conditions.
OneThingToRuleThemAll [v1.4]This script was created because I wanted to be able to display a contextual chart of commonly used indicators for scalping and swing traders, with the ability to control the visual representation on the charts as their cross-overs, cross-unders, or changes of state happen in real time. Additionally, I wanted the ability to control how or when they are displayed. While looking through other community projects, I found they lacked the ability to full customize the output controls and values used for these indicators.
The script leverages standard RSI/MACD/VWAP/MVWAP/EMA calculations to help a trader visually make more informed decisions on entering or exiting a trade, depending on their understanding on what the indicators represent. Paired with a table directly on the chart, it allows a trader to quickly reference values to make more informed decisions without having to look away from the price action or look through multiple indicator outputs.
The main functionality of the indicator is controlled within the settings directly on the chart. There a user can enable the visual representations, or disable, and configure how they are displayed on the charts by altering their values or style types.
Users have the ability to enable/disable visual representations of:
The indicator chart
RSI Cross-over and RSI Reversals
MACD Uptrends and Downtrends
VWAP Cross-overs and Cross-unders
VWAP Line
MVWAP Cross-overs and Cross-unders
MVWAP Line
EMA Cross-overs and Cross-unders
EMA Line
Some traders like to use these visual indications as thresholds to enter or exit trades. Its best to find out which ones work the best with the security you are trying to trade. Personally, I use the table as a reference in conjunction with the RSI chart indicators to help me decide a logical trailing stop if I am scalping. Some users might like the track EMA200 crossovers, and have visual representations on the chart for when that happens. However, users may use the other indicators in other methods, and this script provides the ability to be able to configure those both visually and by value.
The pine script code is open source and itself is fairly straightforward, it is mostly written to provide the ultimate level of control the the user of the various indicators. Please reach out to me directly if you would like a further understanding of the code and an explanation on anything that may be unclear.
Enjoy :)
-dead1.
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
**********************************************************************************
*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
[VDB]TrendScalp-FractalBox-3EMAThere are many indicators with William’s Fractal and Alligator. As many use EMA’s it may be useful to define a 3-EMA ribbon and combining Fractal Levels/Box (filling background between top and bottom fractals) for trend scalping. I searched for this kind of indicator in community – some show fractals, some just levels, some with alligator etc. but couldn't find the one needed. Hence thought of this indicator which may be of interest to other users too.
Key Points:
EMA ribbon is created using 3 EMA’s 35/70/105. Users can change these as per their preference. This is used for trend identification – 1. Bullish bias if Price > EMA1 > EMA2 > EMA3. 2. Bearish bias if Price < EMA1 < EMA2 < EMA3.
Background is marked during crossing of EMA1 and EMA2 to alert possible trend change.
5-bar fractals are used to mark the Fractal levels and background between top and bottom fractals are filled to create a Fractal Box.
Fractal levels are marked only when the fractal formation is complete. Given offset is used this is lagging.
How to Use:
Sloping EMA ribbon is used for identifying the trend.
Fractal box break-out/ break-downs are used to trigger the trade with fractal high/low for entry/SL. Waiting for price contraction towards EMA ribbon resulting in smaller boxes is key to initiate trade. Avoid bigger boxes as SL’s will be big and price may move within. To draw the vertical lines of FractalBox change fractal level0 style to step-line.
This indicator combined with the cycle high/low (overbought/oversold) indicators such as CCI/Stochastic/RSI etc. can make it a good trend scalping setup while trading in the direction of momentum in higher timeframe.
This setup could be used for any timeframes. Do your back-testing before using it in live market.
This indicator was achieved by combing some fractal ideas from “Fractal and Alligator Alerts by JustUncleL”
DISCLAIMER : This indicator has been created for educational reference only and do not constitute investment advice. This indicator should not be relied upon as a substitute for extensive independent market research before making your actual trading decisions. Market data or any other content is subject to change at any time without notice. Liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from use of this indicator is accountability of user using it.
Average Band by HarmanUsually, Moving Averages (Simple & Exponential) consider "close" of each candle to form a line for a particular period. In this indicator, we have considered all the parameters (Open, Close, Low & High) of each candle to form a Band or a wave which act as a zone to provide support & resistance. It works well on all the time frames. It perfectly works on lower time frames of 15 min & 5 min for intraday trades and even for scalping. There is a line that moves very near to candles known as "Candle Line" provide support & resistance to each individual candle and a leading line which moves ahead also acts as support & resistance and helps in determining trend direction.
How to use the indicator ?
Indicator consists of 3 components :
1) A Band or wave of 3 lines (upper, middle & lower line)
2) A "Candle Line" which moves along with the candles
3) A Leading line which moves ahead of the candles
Method 1 : When candles are being formed above the candle line (line near to candles) and it crosses the band or wave from below to upside, then long trade can be initiated. Similarly, When candles are being formed below the Candle line and it crosses the band or wave from upside then short trade can be initiated. Stop loss can be maintained below the band for Long trade and above the band for short trade. Candle line can be used to trail the stop loss.
Method 2: If candles moves above and below of the band very often and frequently and candle line is in the middle of candles then it is NO TRADING ZONE. If you still want to trade, then select a higher time frame and check the price movement. If there is a stability in the higher time frame, then take the trade in the higher timeframe with stable movement.
Method 3 : Candle line acts as "First line of Defence". In a uptrend, all the candles are formed above the candle line and in case of down trend, all the candles are formed below the candle line. When a newly formed candle cross the candle line then you can book profit. For Example : In uptrend , candles are being formed above the line, when a new candle started forming below the line and when the complete candle is formed below the line, profit can be booked. Vice-versa in case of downtrend.
Method 4: Direction of leading line, band and candle line helps in determining the trend. If all these three components are in upward direction, price trend is upward and if all these three components are in downward direction, then price trend is downward. When, leading line and band cross each other from opposite direction for consecutive 2-3 times, then price movement is sideways.
Method 5 : Thickness of band play an important role in determining price action. If band is narrow, it means small candles are being formed and no any huge price movement is observed in this period. When band started expanding, it signifies that big candles are begin to form and there is a more price movement than before. Similarly, If contraction of band started, it means that small candles are being formed and there is low price movement as compared to the price movement when Band was expanded. If Band is expanded (wider) and volumes are high, It means the Band will act as strong Support or Resistance than usual. In case, candles and candle line cross the expanded Band, you can enter the Long or Short trade.
Method 6: When the Band, leading line and candle line collides or meet at a single point, then it is either strong support or resistance.
Method 7 : Usage in Scalping : Select the shorter time frame of 1 min or 5 min. If the candles are crossing the band very frequently in 1 min, then select 5 min time frame or wait for few minutes for stability. Now, when candles started forming above the candle line and it crosses the band from below then take a long position and book profit after few candles above the band. Place stop loss below the Band. Similarly, when candles started forming below the candle line and it crosses the band from above, then enter into short trade and book profit after few candles. Place stop loss above the band in the case of short trade.
You can combine above methods to give a sharp edge to your trade and increase the probability of your winning in the trade.
Indicator Settings : Default period selected is 50 for both the Band and leading line. You can change the period to 26 or 100 or 200. Select the period and check the chart, if the indicator looks fine and smooth, then you can use your settings. For most of the time, default settings work perfectly.
Proudly Developed by :
Harmandeep Singh
Graduate in Computer Science with Physics & Mathematics
MBA in Business Marketing and Finance
Experienced Computer programmer & Software developer
Stock Market & Crypto Trader
[blackcat] L3 Bias ScalperLevel: 3
Background
Bias alone is a powerful tool for trading. I use SMA3, SMA10, SMA20, SMA30 to cover short and middle term of the trend for scalping. Multiple biases can be introduced for long and short entries.
Function
Use SMAs and biases for scalping with whale move alert (banker fund flow detection)
Key Signal
buy --> entry signal for long
strongbuy --> entry signal for long
add --> buy more or re-entry signal for long
reduce --> partial exit for long
exit --> complete exit for long
sell --> short entry signal
whalemove --> banker fund move detection
Pros and Cons
This script provides entry signal together with whale detection by bias algorithms, you can use whale move to predict next move of trend in large time frame. However, trading signal should be further filtered out for more precise entry signal.
Remarks
At beginning, I want to make it simple and it looks very complex at the end...
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Camelback-IndikatorDer Camelback-Indikator stammt von Joe Ross. Er beinhaltet zwei einfache gleitende Durchschnitte mit 40 Perioden und einen exponentiellen gleitenden Durchschnitt mit 15 Perioden.
Sobald wir mit Preisbalken arbeiten, die vollständig unterhalb des MA40-Kanals liegen, versuchen wir einen Ausbruch durch das Tief des Balkens zu verkaufen, der das lokale Hoch macht. Mit dem lokalen Hoch ist das Hoch einer geringfügigen Korrektur außerhalb des MA40-Kanals gemeint.
Sobald wir mit Preisbalken arbeiten, die vollständig oberhalb des MA40-Kanals liegen, versuchen wir einen Ausbruch durch das Hoch des Balkens zu kaufen, der das lokale Tief macht. Mit dem lokalen Tief ist das Tief einer geringfügigen Korrektur außerhalb des Kanals gemeint.
Was wir hier tun, kann als Scalping bezeichnet werden. Das Skalieren des längerfristigen Charts mit kurzfristigen Handelstechniken ist eine großartige Möglichkeit, um die Art von Aktion zu handeln, die wir in diesen Charts sehen.
Der Camelback-Indikator kann auch zum scannen von Aktiemärkten benutzt werden.
Der Indikator beinhaltet neben der Camelback-Funktion außerdem noch einen einfachen gleitentenden Durchschnitt mit 200 Perioden, zwei einfache gleitentende Durchschnitte (im script short-term genannt) mit einstellbarer Periodendauer, einer davon angewendet auf Hochs, bei dem anderen kann die Anwendung der Quelle eingestellt werden. Bei beiden ist ein Offset einstellbar.
The Camelback indicator is from Joe Ross. It includes two simple moving averages with 40 periods and an exponential moving average with 15 periods.
Once we are working with price bars that are completely below the MA40 channel, we try to sell a breakout through the low of the bar which makes the local high. By the local high is meant the high of a minor correction outside of the MA40 channel.
Once we are working with price bars that are completely above the MA40 channel, we try to buy a breakout through the high of the bar which makes the local low. By the local low we mean the low of a minor correction outside the channel.
What we are doing here can be called scalping. Scaling the longer term chart with short term trading techniques is a great way to trade for the kind of action we see on these charts.
The Camelback indicator can also be used to scan stock markets.
In addition to the Camelback function, the indicator also includes a simple moving average with 200 periods, two simple moving averages (called short-term in the script) with adjustable period duration, one of which is applied to highs, the other can be used to set the source . An offset can be set for both.
Quantum Momentum FusionPurpose of the Indicator
"Quantum Momentum Fusion" aims to combine the strengths of RSI (Relative Strength Index) and Williams %R to create a hybrid momentum indicator tailored for volatile markets like crypto:
RSI: Measures the strength of price changes, great for understanding trend stability but can sometimes lag.
Williams %R: Assesses the position of the price relative to the highest and lowest levels over a period, offering faster responses but sensitive to noise.
Combination: By blending these two indicators with a weighted average (default 50%-50%), we achieve both speed and reliability.
Additionally, we use the indicator’s own SMA (Simple Moving Average) crossovers to filter out noise and generate more meaningful signals. The goal is to craft a simple yet effective tool, especially for short-term trading like scalping.
How Signals Are Generated
The indicator produces signals as follows:
Calculations:
RSI: Standard 14-period RSI based on closing prices.
Williams %R: Calculated over 14 periods using the highest high and lowest low, then normalized to a 0-100 scale.
Quantum Fusion: A weighted average of RSI and Williams %R (e.g., 50% RSI + 50% Williams %R).
Fusion SMA: 5-period Simple Moving Average of Quantum Fusion.
Signal Conditions:
Overbought Signal (Red Background):
Quantum Fusion crosses below Fusion SMA (indicating weakening momentum).
And Quantum Fusion is above 70 (in the overbought zone).
This is a sell signal.
Oversold Signal (Green Background):
Quantum Fusion crosses above Fusion SMA (indicating strengthening momentum).
And Quantum Fusion is below 30 (in the oversold zone).
This is a buy signal.
Filtering:
The background only changes color during crossovers, reducing “fake” signals.
The 70 and 30 thresholds ensure signals trigger only in extreme conditions.
On the chart:
Purple line: Quantum Fusion.
Yellow line: Fusion SMA.
Red background: Sell signal (overbought confirmation).
Green background: Buy signal (oversold confirmation).
Overall Assessment
This indicator can be a fast-reacting tool for scalping. However:
Volatility Warning: Sudden crypto pumps/dumps can disrupt signals.
Confirmation: Pair it with price action (candlestick patterns) or another indicator (e.g., volume) for validation.
Timeframe: Works best on 1-5 minute charts.
Suggested Settings for Long Timeframes
Here’s a practical configuration for, say, a 4-hour chart:
RSI Period: 20
Williams %R Period: 20
RSI Weight: 60%
Williams %R Weight: 40% (automatically calculated as 100 - RSI Weight)
SMA Period: 15
Overbought Level: 75
Oversold Level: 25
Bogdan Ciocoiu - Sniper EntryWhat is Sniper Entry
Sniper Entry is a set indicator that encapsulates a collection of pre-configured scripts using specific variables that enable users to extract signals by interpreting market behaviour quickly, suitable for 1-3min scalping. This instrument is a tool that acts as a confluence for traders to make decisions concerning current market conditions. This indicator does not apply solely to an asset.
What Sniper Entry is not
Sniper Entry is not interpreting fundamental analysis and will also not be providing out of box market signals. Instead, it will provide a collection of integrated and significantly improved open-source subscripts designed to help traders speculate on market trends. Traders must apply their strategies and configure Sniper Entry accordingly to maximise the script's output.
Originality and usefulness
The collection of subscripts encapsulated in this tool makes it unique in the Trading View ecosystem. This indicator enables traders to consider entry positions or exit positions by comparing similar algorithms at once.
Its usefulness also emerges from the unique configurations embedded in the indicator's settings, which are different from those of the original scripts.
This indicator's originality is also reflected in how its modules are integrated, including the integration of the settings.
Open-source reuse
I used the following open-source resources, which I simplified significantly and pre-configured for short term scalping. The source codes for the below are already in the public domain, including the following links listed below.
www.tradingview.com (open source)
(open source and generic algorithm)
www.tradingview.com (open source)
(open source)
(open source)
www.tradingview.com (generic MA algorithm and open source)
(generic VWAP algorithm and open source)
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description
Overview
The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes.
Performance Highlight:
In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior.
The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well.
## Key Innovation & Originality
This strategy introduces a unique **dual scoring system** approach:
- **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria
- **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing
Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions.
## Technical Foundation
### Optimized Indicator Parameters
The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns:
**MACD Configuration (3,10,3)**:
- Fast EMA: 3 periods (vs standard 12)
- Slow EMA: 10 periods (vs standard 26)
- Signal Line: 3 periods (vs standard 9)
- **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility
**RSI Configuration (21-period)**:
- Length: 21 periods (vs standard 14)
- Oversold: 30 level
- Extreme Oversold: 25 level
- **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment
**Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance.
### Scoring System Methodology
**Entry Score Components (Minimum 13 points required)**:
1. **RSI Signals** (max 5 points):
- RSI < 30: +2 points
- RSI < 25: +2 points
- RSI turning up: +1 point
2. **MACD Signals** (max 8 points):
- MACD below zero: +1 point
- MACD turning up: +2 points
- MACD histogram improving: +2 points
- MACD bullish divergence: +3 points
3. **Price Action** (max 4 points):
- Long lower wick (>50%): +2 points
- Small body (<30%): +1 point
- Bullish close: +1 point
4. **Pattern Recognition** (max 8 points):
- RSI bullish divergence: +4 points
- Quick recovery pattern: +2 points
- Reversal confirmation: +4 points
**Exit Score Components (Minimum 13 points required)**:
Uses inverse criteria to identify swing tops with similar weighting system.
## Risk Management Features
### Position Sizing & Risk Control
- **Single Position Strategy**: 100% equity allocation per trade
- **No Overlapping Positions**: Ensures focused risk management
- **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets
### Stop Loss & Take Profit Logic
- **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer
- **Risk-Based Take Profit**: Calculated using risk/reward ratio
- **Clean Exit Logic**: Prevents conflicting signals
## Default Settings Optimization
### Key Parameters (Optimized for MSTR/Bitcoin-style volatility):
- **Minimum Entry Score**: 13 (ensures high-conviction entries)
- **Minimum Exit Score**: 13 (prevents premature exits)
- **Risk/Reward Ratio**: 5.0 (accounts for volatility)
- **Lower Wick Threshold**: 50% (identifies true hammer patterns)
- **Divergence Lookback**: 8 bars (optimal for swing timeframes)
### Why These Defaults Work for MSTR:
1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation
2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets
3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks
4. **21-period RSI**: Reduces noise while maintaining sensitivity
## Visual Features
### Score Display System
- **Green Labels**: Entry scores ≥10 points (below bars)
- **Red Labels**: Exit scores ≥10 points (above bars)
- **Large Triangles**: Actual trade entries/exits
- **Small Triangles**: Reversal pattern confirmations
### Chart Cleanliness
- Indicators plotted in separate panes (MACD, RSI)
- TP/SL levels shown only during active positions
- Clear trade markers distinguish signals from actual trades
## Backtesting Specifications
### Realistic Trading Conditions
- **Commission**: 0.1% per trade
- **Slippage**: 3 points
- **Initial Capital**: $1,000
- **Account Type**: Cash (no margin)
### Sample Size Considerations
- Strategy designed for 100+ trade sample sizes
- Recommended timeframes: 4H, 1D for swing trading
- Optimal for trending/volatile markets
## Strategy Limitations & Considerations
### Market Conditions
- **Best Performance**: Trending markets with clear swings
- **Reduced Effectiveness**: Highly choppy, sideways markets
- **Volatility Dependency**: Optimized for moderate to high volatility assets
### Risk Warnings
- **High Allocation**: 100% position sizing increases risk
- **No Diversification**: Single position strategy
- **Backtesting Limitation**: Past performance doesn't guarantee future results
## Usage Guidelines
### Recommended Assets & Timeframes
- **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes
- **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.)
- **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments)
- **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping
### Timeframe Recommendations
- **Primary Scalping**: 5-minute and 15-minute charts
- **Active Monitoring**: 1-minute for precise entries
- **Swing Scalping**: 30-minute to 1-hour timeframes
- **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities)
## Technical Requirements
- **Pine Script Version**: v6
- **Overlay**: Yes (plots on price chart)
- **Additional Panes**: MACD and RSI indicators
- **Real-time Compatibility**: Confirmed bar signals only
## Customization Options
All parameters are fully customizable through inputs:
- Indicator lengths and levels
- Scoring thresholds
- Risk management settings
- Visual display preferences
- Date range filtering
## Conclusion
This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets.
The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets.
**Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
Table Logic ExtractorTable Logic Extractor v2.0
Advanced multi-timeframe analysis with intelligent trade recommendations!
Overview:
This sophisticated indicator provides comprehensive market analysis through multiple technical indicators and timeframes. It combines EMA analysis, RSI momentum, MACD signals, Bollinger Bands, volume analysis, divergence detection, and intelligent trade recommendations with support/resistance distance calculations and trading style detection.
Key Features:
✅ Multi-Indicator Analysis - EMA, RSI, MACD, Bollinger Bands, Volume, ATR
✅ Multi-Timeframe Analysis - M1, M5, M15, M30 trend comparison
✅ Divergence Detection - Bullish and bearish divergence with strength calculation
✅ Support/Resistance Analysis - Distance calculations with Fibonacci levels
✅ Trading Style Detection - Trend, Range, Breakout, Scalping identification
✅ Intelligent Trade Signals - Style-based trade recommendations with confidence levels
✅ Risk Management - Stop Loss and Take Profit calculations
✅ Comprehensive Table - Real-time analysis with 14 different metrics
How It Works:
The indicator uses advanced analysis:
• Multi-Timeframe - M1, M5, M15, M30 trend analysis
• Style Detection - Automatic trading style identification
• S/R Analysis - Fibonacci-based support/resistance levels
• Weighted Scoring - EMA (2.0), RSI (1.5), MACD (1.5), BB (1.0), Volume (1.0)
• Intelligent Signals - Style-based trade recommendations
Trading Style Detection:
• TREND TRADING - Strong trend + aligned timeframes (Green)
• RANGE TRADING - Low volatility + sideways movement (Yellow)
• BREAKOUT TRADING - High volume + near levels (Orange)
• SCALPING - High volatility + quick moves (Red)
Information Table (14 Metrics):
Real-time display showing:
• ATR volatility with signal (HIGH/MED/LOW/NORMAL VOL)
• Divergence status with strength percentage
• S/R Distance with Fibonacci levels
• Stop Loss (2.0:1 ratio) and Take Profit 1 (1.5:1 ratio)
• Multi-Timeframe analysis (M1, M5, M15, M30)
• Scalping signals with confidence levels
• Current trend with strength percentage
• Intelligent trade recommendations
Trade Recommendations:
• TREND BUY/SELL - All timeframes aligned (High confidence)
• SHORT-TERM BUY/SELL - M5 signal only (Medium confidence)
• SCALPING BUY/SELL - M5 vs higher timeframes (Low confidence)
• WAIT - No clear signal (No confidence)
Support/Resistance Analysis:
• Fibonacci Levels: 23.6%, 38.2%, 50% retracements
• Distance Categories: Very Near (Red), Near (Orange), Medium (Yellow), Far (Green)
• ATR-based distance measurement
• Real-time proximity alerts
Scalping Detection:
Specialized signals based on:
• High volatility (ATR ratio > 1.5)
• Quick price moves (fast momentum)
• Volume confirmation (high volume spikes)
• RSI extremes (oversold/overbought)
Settings:
• EMA - Fast (9), Slow (21), Trend (50)
• RSI - Length (14), Overbought (70), Oversold (30)
• MACD - Fast (12), Slow (26), Signal (9)
• Bollinger Bands - Length (20), Multiplier (2.0)
• ATR - Length (14) for volatility measurement
• Volume Threshold - 1.5x average volume
• Divergence - Lookback (3), Threshold (0.5)
Best Practices:
🎯 Adapt strategy to detected trading style
📊 Use multi-timeframe analysis for confirmation
⚡ Monitor S/R distances for entry timing
🛡️ Always use calculated Stop Loss levels
🔍 Watch for divergence signals
📈 Follow intelligent trade recommendations
Pro Tips:
• Table provides all essential information in one place
• Trading style detection helps adapt your strategy
• S/R distance shows proximity to key levels
• Confidence levels indicate signal reliability
• Multi-timeframe alignment increases success rate
• Scalping signals work best in high volatility
Alerts:
• Trend Change Alert - "Trend changed across timeframes"
• Divergence Alert - "Divergence detected"
• Scalping Alert - "Scalping opportunity"
• Trade Signal Alert - "Trade recommendation available"
Version 2.0 Improvements:
• Advanced multi-timeframe analysis (M1, M5, M15, M30)
• Intelligent trading style detection
• Comprehensive support/resistance analysis
• Professional trade recommendations with confidence levels
• Scalping detection with specialized signals
• Risk management with calculated SL/TP levels
• 14-metric comprehensive information table
Created with ❤️ for the trading community
This indicator is free to use for both commercial and non-commercial purposes.
Super IndicatorOverview of the Combined Indicator
This combined indicator leverages three major technical analysis tools:
Bollinger Bands
Linear Regression Channels
Scalping Strategy Indicators (RSI, MACD, SMA)
Each of these tools provides unique insights into market conditions, and their integration offers a comprehensive view of price movements, trends, and potential trading signals.
1. Bollinger Bands
Purpose:
Bollinger Bands are used to measure market volatility and identify overbought or oversold conditions.
Components:
Basis (Middle Band): Typically a 20-period Simple Moving Average (SMA).
Upper Band: Basis + (2 * Standard Deviation).
Lower Band: Basis - (2 * Standard Deviation).
Why They Complement:
Bollinger Bands expand and contract based on market volatility. When the bands are narrow, it indicates low volatility and potential for a significant move. Wide bands indicate high volatility. This helps traders gauge the strength of market moves and potential reversals.
2. Linear Regression Channels
Purpose:
Linear Regression Channels identify the overall trend direction and measure deviation from the mean price over a specific period.
Components:
Middle Line (Linear Regression Line): The line of best fit through the price data over a specified period.
Upper and Lower Lines: Channels created by adding/subtracting a multiple of the standard deviation or another deviation measure from the regression line.
Why They Complement:
Linear Regression Channels provide a clear visual representation of the trend direction and the range within which prices typically fluctuate. This can help traders identify trend continuations and reversals, making it easier to spot entry and exit points.
3. Scalping Strategy Indicators
Purpose:
The RSI, MACD, and SMA are used to generate short-term buy and sell signals, which are essential for scalping strategies aimed at capturing quick profits from small price movements.
Components:
RSI (Relative Strength Index): Measures the speed and change of price movements, typically over 14 periods. It helps identify overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): Consists of the MACD line, Signal line, and histogram. It helps identify changes in the strength, direction, momentum, and duration of a trend.
SMA (Simple Moving Average): The average price over a specified period, used to smooth out price data and identify trends.
Why They Complement:
These indicators provide short-term signals that can confirm or refute the signals given by Bollinger Bands and Linear Regression Channels. For example, a buy signal might be more reliable if the price is near the lower Bollinger Band and the MACD crosses above its signal line.
How They Work Together
Scenario 1: Confirming Trend Continuations
Bollinger Bands: Price staying near the upper band suggests a strong uptrend.
Linear Regression Channels: Price staying above the middle line confirms the uptrend.
5-Minute Scalping Strategy: RSI not in overbought territory, and MACD showing bullish momentum confirms continuation.
Scenario 2: Identifying Reversals
Bollinger Bands: Price touching or moving outside the lower band suggests oversold conditions.
Linear Regression Channels: Price at the lower channel line indicates potential support.
5-Minute Scalping Strategy: RSI in oversold territory, and MACD showing a bullish crossover indicates a reversal.
Scenario 3: Volatility Breakouts
Bollinger Bands: Bands contracting indicates low volatility and potential breakout.
Linear Regression Channels: Price moving away from the middle line signals potential breakout direction.
Scalping Strategy: MACD and RSI confirming the breakout direction for entry.
Input Parameters:
Define settings for Bollinger Bands, Linear Regression Channels, and the scalping strategy.
Allow users to customize lengths, multipliers, and colors.
Bollinger Bands Calculation:
Calculate the basis (SMA) and standard deviation.
Derive the upper and lower bands from the basis and standard deviation.
Linear Regression Channel Calculation:
Compute the slope, average, and intercept of the linear regression line.
Calculate deviations to plot upper and lower channel lines.
5-Minute Scalping Strategy:
Calculate RSI, MACD, and SMA for short-term trend analysis.
Define buy and sell conditions based on these indicators.
Plotting and Alerts:
Plot Bollinger Bands and Linear Regression Channels on the chart.
Plot buy and sell signals with shapes.
Set alerts for key conditions like exiting the regression channel bounds and trend switches.
Conclusion
By combining Bollinger Bands, Linear Regression Channels, and a 5-minute scalping strategy, this indicator offers a robust tool for traders. Bollinger Bands provide volatility insights, Linear Regression Channels highlight trend direction and potential reversals, and the scalping strategy offers precise entry and exit points. Together, these tools can enhance a trader's ability to make informed decisions in various market conditions.
BB_MDL_V1Simple indicator that is based on the average line of the bollinger bands and the exponential average of 200 periods.
The customizable variable is bollinger bands length, currently the default is 35, you can tweak it to your liking and see how trend identification changes.
My recommendation is to work in 5-minute time frames in values such as SOL, FTM or MASK (cryptos)
This simple strategy can be combined with many others to gain more insight and get better market entries and exits.
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced
📊 ORIGINALITY & INNOVATION
The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches.
Key Advancements:
Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately
Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies
Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA)
Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation
Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components
This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases.
📐 MATHEMATICAL FOUNDATION
Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands.
Core Calculation Process:
1. Middle Band (Basis) Calculation:
The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period:
basis = ma(source, length, maType)
Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others.
2. Average True Range (ATR) Calculation:
ATR measures market volatility by calculating the average of true ranges over the specified period:
trueRange = max(high - low, abs(high - close ), abs(low - close ))
atrValue = ma(trueRange, atrLength, atrMaType)
ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others.
3. Channel Calculation:
Upper and lower channels are positioned at specified multiples of ATR from the basis:
upperChannel = basis + (multiplier × atrValue)
lowerChannel = basis - (multiplier × atrValue)
Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility.
Keltner Channel vs. Bollinger Bands - Key Differences:
While both indicators create volatility-based channels, they use fundamentally different volatility measures:
Keltner Channel (ATR-based):
Uses Average True Range to measure actual price movement volatility
Incorporates gaps and limit moves through true range calculation
More stable in trending markets, less prone to extreme compression
Better reflects intraday volatility and trading range
Typically fewer band touches, making touches more significant
More suitable for trend-following strategies
Bollinger Bands (Standard Deviation-based):
Uses statistical standard deviation to measure price dispersion
Based on closing prices only, doesn't account for intraday range
Can compress significantly during consolidation (squeeze patterns)
More touches in ranging markets
Better suited for mean-reversion strategies
Provides statistical probability framework (95% within 2 standard deviations)
Algorithm Combination Effects:
The interaction between middle band MA type and ATR MA type creates different indicator characteristics:
Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following
Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading
Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following
Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes
📊 COMPREHENSIVE SIGNAL ANALYSIS
Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies.
Channel Position Signals:
Upper Channel Interaction:
Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends
Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops
Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking
Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry
Lower Channel Interaction:
Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends
Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside
Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering
Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry
Middle Band (Basis) Signals:
Trend Direction Confirmation:
Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs
Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs
Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions
Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs
Pullback Trading Strategy:
Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point
Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point
Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks
Failed Test: Price breaking through middle band against trend direction signals potential reversal
Volatility-Based Signals:
Narrow Channels (Low Volatility):
Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action
Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles
Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels
Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width
Wide Channels (High Volatility):
Trending Phase: Channels expand during strong directional moves and increased volatility
Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing
Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky
Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal
Advanced Pattern Recognition:
Channel Walking Pattern:
Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively
Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively
Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks
Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion
Squeeze and Release Pattern:
Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts
Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias)
Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout
Follow-Through: Measure squeeze height and project from breakout point for initial profit targets
Channel Expansion Pattern:
Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment
Entry Timing: Enter positions early in expansion phase before trend becomes overextended
Risk Management: Use channel width to size stops appropriately, wider channels require wider stops
Basis Bounce Pattern:
Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity
Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend
Bounce Failure: Price penetrating basis signals weakening trend and potential reversal
Divergence Analysis:
Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening
Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction
Reversal Signal: Divergences often precede trend reversals or significant consolidation periods
Multi-Timeframe Analysis:
Keltner Channels work particularly well in multi-timeframe trend-following approaches:
Three-Timeframe Alignment:
Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels
Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend
Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection
Optimal Entry Conditions:
Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel
Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel
Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels
🎯 STRATEGIC APPLICATIONS
Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions.
Trend Following Strategy:
Setup Requirements:
Identify established trend with price consistently on one side of basis line
Wait for pullback to middle band (basis) or brief penetration through it
Confirm trend resumption with price rejection at basis and move back toward outer channel
Enter in trend direction with stop beyond basis line
Entry Rules:
Uptrend Entry:
Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence)
Enter long on rejection/bounce from basis with stop 1-2 ATR below basis
Aggressive: Enter on first touch; Conservative: Wait for confirmation candle
Downtrend Entry:
Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence)
Enter short on rejection/reversal from basis with stop 1-2 ATR above basis
Aggressive: Enter on first touch; Conservative: Wait for confirmation candle
Trend Management:
Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position
Profit Taking: Take partial profits at opposite channel, move stops to basis
Position Additions: Add to winners on subsequent basis bounces if trend intact
Breakout Strategy:
Setup Requirements:
Identify consolidation period with contracting channel width
Monitor price action near middle band with reduced volatility
Wait for decisive breakout beyond channel range with expanding width
Enter in breakout direction after confirmation
Breakout Confirmation:
Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state
Volume increases significantly on breakout (if using volume analysis)
Price sustains outside channel for multiple bars without immediate reversal
Entry Approaches:
Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size
Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop
Volatility-Based Position Sizing:
Adjust position sizing based on channel width (ATR-based volatility):
Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value)
Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion
ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops
Algorithm Selection Guidelines:
Different market conditions benefit from different algorithm combinations:
Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width
Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals
Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization
Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early
Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly
Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following
📋 DETAILED PARAMETER CONFIGURATION
Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches.
Source Parameter:
Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice
HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading
HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2
OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments
Length Parameter:
Controls the lookback period for middle band (basis) calculation:
Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate
Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading
Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods
Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment
Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks.
ATR Length Parameter:
Controls the lookback period for Average True Range calculation, affecting channel width:
Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions
Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used
Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading
Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following
Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels.
Multiplier Parameter:
Controls channel width by setting ATR multiples:
Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies
Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies
Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets
Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier.
MA Type Parameter (Middle Band):
Critical selection that determines trend identification characteristics:
EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes
SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion
HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping
TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets
T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading
KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions
ATR MA Type Parameter:
Determines how Average True Range is smoothed, affecting channel width stability:
RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width
SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width
EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes
TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles
Parameter Combination Strategies:
Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading
Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading
Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading
Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width
Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions
Offset Parameter:
Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations.
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness.
Response Characteristics:
Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions
Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts
Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention
Comparison with Traditional Keltner Channels:
Enhanced Version Advantages:
Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability
Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences
Comprehensive Alerts: Enhanced alert system including channel expansion detection
Traditional Version Advantages:
Simplicity: Fewer parameters, easier to understand and implement
Standardization: Fixed EMA/RMA combination ensures consistency across users
Research Base: Decades of backtesting and research on standard configuration
When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe.
When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks.
Performance Across Market Conditions:
Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities
Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts
Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings
Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation
Keltner Channel vs. Bollinger Bands - Usage Comparison:
Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends.
Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities.
Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation.
Limitations and Considerations:
General Limitations:
Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms
Trend-Dependent: Works best in trending markets, less effective in choppy conditions
No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation
Enhanced Version Specific Considerations:
Optimization Risk: More parameters increase risk of curve-fitting historical data
Complexity: Additional choices may overwhelm beginning traders
Backtesting Challenges: Different algorithms produce different historical results
Mitigation Strategies:
Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action
Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones
Multi-Timeframe Analysis: Confirm signals across different timeframes
Proper Risk Management: Use appropriate position sizing and stops
Start Simple: Begin with standard EMA/RMA before exploring alternatives
Optimal Usage Recommendations:
For Maximum Effectiveness:
Start with standard EMA/RMA configuration to understand classic behavior
Experiment with alternatives on demo account or paper trading
Match algorithm combination to market condition and trading style
Use channel width analysis to identify market phases
Combine with complementary indicators for confirmation
Implement strict risk management using ATR-based position sizing
Focus on high-quality setups rather than trading every signal
Respect the trend: trade with basis direction for higher probability
Complementary Indicators:
RSI or Stochastic: Confirm momentum at channel extremes
MACD: Confirm trend direction and momentum shifts
Volume: Validate breakouts and trend strength
ADX: Measure trend strength, avoid Keltner signals in weak trends
Support/Resistance: Combine with traditional levels for high-probability setups
Bollinger Bands: Use together for enhanced breakout and volatility analysis
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results.
Key considerations:
Always use multiple forms of analysis and confirmation before entering trades
Backtest any parameter combination thoroughly before live trading
Be aware that optimization can lead to curve-fitting if not done carefully
Start with standard EMA/RMA settings and adjust only when specific conditions warrant
Understand that no moving average algorithm can eliminate lag entirely
Consider market regime (trending, ranging, volatile) when selecting parameters
Use ATR-based position sizing and risk management on every trade
Keltner Channels work best in trending markets, less effective in choppy conditions
Respect the trend direction indicated by price position relative to basis line
The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
Donchian Channel Trend Tracker by KellyLikesCrypto### Overview
This indicator is written in Pine Script® (version 6) and is designed to overlay on a price chart. It combines the classic Donchian Channel—a tool popular among trend-following traders—with additional trend-tracking features. By identifying when the channel’s highs and lows are making new extreme values, the indicator helps signal potential trend shifts. It is especially suited for scalpers using 1-hour charts, as it provides clear, actionable signals for rapid entry and exit decisions.
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### Key Components & Inputs
1. **User Inputs:**
- **Length:** The period over which the indicator calculates the highest high and the lowest low (default is 27 bars). This value can be adjusted to smooth or tighten the channel based on the trader’s preference.
- **Offset:** A parameter allowing the plotted lines to be shifted left or right on the chart, providing flexibility in aligning the indicator with price action.
2. **Donchian Channel Calculations:**
- **Lower Bound (`lower`):** Calculated using `ta.lowest(length)`, it identifies the lowest low over the defined period.
- **Upper Bound (`upper`):** Determined by `ta.highest(length)`, capturing the highest high during the same period.
- **Basis:** The midline of the channel, computed as the average of the upper and lower bounds. This line can serve as an equilibrium or reference point in the trend analysis.
---
### Visual Representation
- **Plotting the Channels:**
- The **basis** is plotted in a standout orange color (#FF6D00) to make the central trend reference easily visible.
- The **upper** and **lower** bounds are plotted in blue (#2962FF), creating clear boundaries for the price action.
- The area between these two lines is filled with a semi-transparent blue, enhancing the visual context of the channel and helping traders quickly assess whether price is near an extreme or within a normal range.
---
### Trend Identification Logic
Beyond plotting the basic Donchian Channel, the indicator introduces additional logic to track short-term trend changes:
1. **Higher Highs and Higher Lows:**
- **Higher High (`higherHigh`):** This condition checks if the current upper bound is greater than the previous bar’s upper bound, signaling a potential upward push.
- **Higher Low (`higherLow`):** Similarly, it checks if the current lower bound exceeds the previous bar’s lower bound, reinforcing an upward trend if the support level is rising.
2. **Lower Highs and Lower Lows:**
- **Lower High (`lowerHigh`):** This evaluates if the current upper bound is less than that of the previous bar, indicating a possible downward shift.
- **Lower Low (`lowerLow`):** It verifies if the current lower bound is lower than the previous bar’s, further confirming a bearish tendency.
The use of the `nz()` function ensures that on the very first bar—where no previous data exists—the code handles the values gracefully without causing errors.
---
### Visual Markers for Trend Signals
To make trend signals immediately apparent:
- **Markers are Plotted on the Chart:**
- **Green Labels ("HH" and "HL"):** These are placed on the chart when the indicator detects higher highs or higher lows, suggesting bullish momentum.
- **Red Labels ("LH" and "LL"):** These markers are shown when lower highs or lower lows are detected, indicating bearish pressure.
Each label is plotted either above or below the corresponding bar, ensuring that the chart remains uncluttered and that the trend signals are clear.
---
### Scalping Strategy on 1-Hour Charts
This indicator is specifically tailored for scalping strategies on 1-hour charts. Scalping involves capturing small, rapid profits from short-term price movements, and the clear trend signals provided by this tool can help traders pinpoint optimal entry and exit points. Here’s how it integrates into a scalping strategy:
- **Quick Trend Identification:** The green markers (HH and HL) suggest bullish conditions ideal for quick long entries, while the red markers (LH and LL) signal bearish conditions suitable for short entries.
- **Timing and Precision:** On a 1-hour chart, the indicator’s sensitivity to higher highs and lower lows allows traders to make rapid decisions aligned with the prevailing trend.
- **Complementary Analysis:** While the indicator provides fast signals, it is recommended to use it alongside additional tools (like oscillators or volume analysis) and strict risk management practices, ensuring that scalpers can confirm entries and exits efficiently.
By leveraging the indicator’s visual cues within a broader scalping framework, traders can enhance their ability to capture quick moves, thus optimizing their overall strategy on 1-hour timeframes.
---
### Conclusion
The “Donchian Channel Trend Tracker by KellyLikesCrypto” is a powerful tool for visualizing price extremes and trend direction. By combining the classical Donchian Channel with additional trend-tracking markers, it offers traders a clear and immediate way to assess whether the market is gaining bullish momentum or beginning to turn bearish. Its customizable parameters and clear visual signals make it particularly effective for a scalping strategy on 1-hour charts, where rapid decision-making is crucial.
This detailed breakdown should provide a comprehensive understanding of how each component of the indicator works together and how it can be effectively integrated into a short-term scalping strategy.
Indicator BMS V5 [Traderhood]Introducing BMS (Base Market Strategy)
Overview
Base Market Strategy (BMS) is a trend-following and oscillator indicator designed to detect market trends with high accuracy while providing clear entry signals. BMS utilizes four Exponential Moving Averages (EMA) to filter trends across multiple timeframes and Bollinger Bands (BB) to identify overbought and oversold zones. This approach makes BMS highly suitable for scalping strategies in lower timeframes with a high win rate potential.
Key Features
📈 Multi-EMA Trend Filtering
Uses 4 EMAs to confirm the dominant trend.
Separates trend detection between lower timeframes and H1 for additional validation.
🎯 Dynamic Overbought & Oversold Detection
Sell signal occurs when the price touches the Bollinger Bands Upper.
Buy signal occurs when the price touches the Bollinger Bands Lower.
🔥 High Win Rate Scalping Strategy
Designed to capture quick price movements in trending markets.
Ideal for traders looking for fast executions with controlled risk.
🎨 Customizable Visual Enhancements
Users can adjust indicator colors to match their personal preferences.
How It Works
1️⃣ EMA-Based Trend Identification
The indicator applies 4 EMAs to determine short-term and medium-term trends.
If the price is above all EMAs → Bullish trend.
If the price is below all EMAs → Bearish trend.
2️⃣ Bollinger Bands Signal Generation
Sell Entry: When the price touches Bollinger Bands Upper, indicating an overbought area.
Buy Entry: When the price touches Bollinger Bands Lower, indicating an oversold area.
3️⃣ Scalping Execution
Entries are executed only on lower timeframes with trend confirmation from H1 EMA.
Profit targets are adjusted based on volatility, while stop loss is placed outside the Bollinger Bands.
4️⃣ Visual Customization
Indicator colors can be modified for better visibility.
Practical Applications
✅ Scalping Strategy – Uses Bollinger Bands and EMA filtering for fast trades.
✅ Trend Confirmation – Multi-timeframe EMA validation ensures precise entries.
✅ Dynamic Support & Resistance – Bollinger Bands help identify potential reversals.
✅ Noise Reduction – EMA filtering removes minor price fluctuations for clearer signals.
🛠 Settings
EMA Periods: 4 EMAs for trend filtering.
Bollinger Bands Length: 20 (default), adjustable.
Bollinger Bands Deviation: 2 (default).
Color Customization: Users can personalize indicator colors as needed.
📌 Conclusion
Base Market Strategy (BMS) is a high win-rate scalping indicator, combining trend-following EMA filtering with momentum reversal detection from Bollinger Bands. With a dynamic and adaptive approach, this indicator provides precise entry signals while reducing noise from insignificant price movements.
Key Takeaways:
✔ High Accuracy – A combination of EMA and Bollinger Bands provides clear signals.
✔ Scalping Optimization – Works best on lower timeframes with H1 validation.
✔ Visual Customization – Users can adjust the indicator colors to their preference.
✔ Simple Yet Powerful – Easy to use but highly effective in capturing market opportunities.
🔹 Disclaimer: Trading carries high risks. Always backtest and optimize settings to align with your risk tolerance before live trading.
Hellenic EMA Matrix - Α Ω PremiumHellenic EMA Matrix - Alpha Omega Premium
Complete User Guide
Table of Contents
Introduction
Indicator Philosophy
Mathematical Constants
EMA Types
Settings
Trading Signals
Visualization
Usage Strategies
FAQ
Introduction
Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market.
Key Features:
6 EMA types based on mathematical constants
Premium visualization with Neon Glow and Gradient Clouds
Automatic Fast/Mid/Slow EMA sorting
STRONG signals for powerful trends
Pulsing Ribbon Bar for instant trend assessment
Works on all timeframes (M1 - MN)
Indicator Philosophy
Why Mathematical Constants?
Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature:
Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions
Pi (3.14159) - Pi: circles, waves, cycles
e (2.71828) - Natural logarithm base: exponential growth, radioactive decay
Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles.
Mathematical Constants
Phi (Phi) - Golden Ratio
Phi = 1.618033988749895
Properties:
Phi² = Phi + 1 = 2.618
Phi³ = 4.236
Phi⁴ = 6.854
Application: Ideal for trending movements and Fibonacci corrections
Pi (Pi) - Pi Number
Pi = 3.141592653589793
Properties:
2Pi = 6.283 (full circle)
3Pi = 9.425
4Pi = 12.566
Application: Excellent for cyclical markets and wave structures
e (Euler) - Euler's Number
e = 2.718281828459045
Properties:
e² = 7.389
e³ = 20.085
e⁴ = 54.598
Application: Suitable for exponential movements and volatile markets
EMA Types
1. Phi (Phi) - Golden Ratio EMA
Description: EMA based on the golden ratio
Period Formula:
Period = Phi^n × Base Multiplier
Parameters:
Phi Power Level (1-8): Power of Phi
Phi¹ = 1.618 → ~16 period (with Base=10)
Phi² = 2.618 → ~26 period
Phi³ = 4.236 → ~42 period (recommended)
Phi⁴ = 6.854 → ~69 period
Recommendations:
Phi² or Phi³ for day trading
Phi⁴ or Phi⁵ for swing trading
Works excellently as Fast EMA
2. Pi (Pi) - Circular EMA
Description: EMA based on Pi for cyclical movements
Period Formula:
Period = Pi × Multiple × Base Multiplier
Parameters:
Pi Multiple (1-10): Pi multiplier
1Pi = 3.14 → ~31 period (with Base=10)
2Pi = 6.28 → ~63 period (recommended)
3Pi = 9.42 → ~94 period
Recommendations:
2Pi ideal as Mid or Slow EMA
Excellently identifies cycles and waves
Use on volatile markets (crypto, forex)
3. e (Euler) - Natural EMA
Description: EMA based on natural logarithm
Period Formula:
Period = e^n × Base Multiplier
Parameters:
e Power Level (1-6): Power of e
e¹ = 2.718 → ~27 period (with Base=10)
e² = 7.389 → ~74 period (recommended)
e³ = 20.085 → ~201 period
Recommendations:
e² works excellently as Slow EMA
Ideal for stocks and indices
Filters noise well on lower timeframes
4. Delta (Delta) - Adaptive EMA
Description: Adaptive EMA that changes period based on volatility
Period Formula:
Period = Base Period × (1 + (Volatility - 1) × Factor)
Parameters:
Delta Base Period (5-200): Base period (default 20)
Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0)
How it works:
During low volatility → period decreases → EMA reacts faster
During high volatility → period increases → EMA smooths noise
Recommendations:
Works excellently on news and sharp movements
Use as Fast EMA for quick adaptation
Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks
5. Sigma (Sigma) - Composite EMA
Description: Composite EMA combining multiple active EMAs
Composition Methods:
Weighted Average (default):
Sigma = (Phi + Pi + e + Delta) / 4
Simple average of all active EMAs
Geometric Mean:
Sigma = fourth_root(Phi × Pi × e × Delta)
Geometric mean (more conservative)
Harmonic Mean:
Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta)
Harmonic mean (more weight to smaller values)
Recommendations:
Enable for additional confirmation
Use as Mid EMA
Weighted Average - most universal method
6. Lambda (Lambda) - Wave EMA
Description: Wave EMA with sinusoidal period modulation
Period Formula:
Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency))
Parameters:
Lambda Base Period (10-200): Base period
Lambda Wave Amplitude (0.1-2.0): Wave amplitude
Lambda Wave Frequency (10-200): Wave frequency in bars
How it works:
Period pulsates sinusoidally
Creates wave effect following market cycles
Recommendations:
Experimental EMA for advanced users
Works well on cyclical markets
Frequency = 50 for day trading, 100+ for swing
Settings
Matrix Core Settings
Base Multiplier (1-100)
Multiplies all EMA periods
Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7)
Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74)
Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148)
Recommendations by timeframe:
M1-M5: Base = 5-10
M15-H1: Base = 10-15 (recommended)
H4-D1: Base = 15-25
W1-MN: Base = 25-50
Matrix Source
Data source selection for EMA calculation:
close - closing price (standard)
open - opening price
high - high
low - low
hl2 - (high + low) / 2
hlc3 - (high + low + close) / 3
ohlc4 - (open + high + low + close) / 4
When to change:
hlc3 or ohlc4 for smoother signals
high for aggressive longs
low for aggressive shorts
Manual EMA Selection
Critically important setting! Determines which EMAs are used for signal generation.
Use Manual Fast/Slow/Mid Selection
Enabled (default): You select EMAs manually
Disabled: Automatic selection by periods
Fast EMA
Fast EMA - reacts first to price changes
Recommendations:
Phi Golden (recommended) - universal choice
Delta Adaptive - for volatile markets
Must be fastest (smallest period)
Slow EMA
Slow EMA - determines main trend
Recommendations:
Pi Circular (recommended) - excellent trend filter
e Natural - for smoother trend
Must be slowest (largest period)
Mid EMA
Mid EMA - additional signal filter
Recommendations:
e Natural (recommended) - excellent middle level
Pi Circular - alternative
None - for more frequent signals (only 2 EMAs)
IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods:
Fast = EMA with smallest period
Mid = EMA with middle period
Slow = EMA with largest period
Therefore, you can select any combination - the indicator will arrange them correctly!
Premium Visualization
Neon Glow
Enable Neon Glow for EMAs - adds glowing effect around EMA lines
Glow Strength:
Light - subtle glow
Medium (recommended) - optimal balance
Strong - bright glow (may be too bright)
Effect: 2 glow layers around each EMA for 3D effect
Gradient Clouds
Enable Gradient Clouds - fills space between EMAs with gradient
Parameters:
Cloud Transparency (85-98): Cloud transparency
95-97 (recommended)
Higher = more transparent
Dynamic Cloud Intensity - automatically changes transparency based on EMA distance
Cloud Colors:
Phi-Pi Cloud:
Blue - when Pi above Phi (bullish)
Gold - when Phi above Pi (bearish)
Pi-e Cloud:
Green - when e above Pi (bullish)
Blue - when Pi above e (bearish)
2 layers for volumetric effect
Pulsing Ribbon Bar
Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart
Parameters:
Ribbon Position: Top / Bottom (recommended)
Pulse Speed: Slow / Medium (recommended) / Fast
Symbols and colors:
Green filled square - STRONG BULLISH
Pink filled square - STRONG BEARISH
Blue hollow square - Bullish (regular)
Red hollow square - Bearish (regular)
Purple rectangle - Neutral
Effect: Pulsation with sinusoid for living market feel
Signal Bar Highlights
Enable Signal Bar Highlights - highlights bars with signals
Parameters:
Highlight Transparency (88-96): Highlight transparency
Highlight Style:
Light Fill (recommended) - bar background fill
Thin Line - bar outline only
Highlights:
Golden Cross - green
Death Cross - pink
STRONG BUY - green
STRONG SELL - pink
Show Greek Labels
Shows Greek alphabet letters on last bar:
Phi - Phi EMA (gold)
Pi - Pi EMA (blue)
e - Euler EMA (green)
Delta - Delta EMA (purple)
Sigma - Sigma EMA (pink)
When to use: For education or presentations
Show Old Background
Old background style (not recommended):
Green background - STRONG BULLISH
Pink background - STRONG BEARISH
Blue background - Bullish
Red background - Bearish
Not recommended - use new Gradient Clouds and Pulsing Bar
Info Table
Show Info Table - table with indicator information
Parameters:
Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right
Size: Tiny / Small (recommended) / Normal / Large
Table contents:
EMA list - periods and current values of all active EMAs
Effects - active visual effects
TREND - current trend state:
STRONG UP - strong bullish
STRONG DOWN - strong bearish
Bullish - regular bullish
Bearish - regular bearish
Neutral - neutral
Momentum % - percentage deviation of price from Fast EMA
Setup - current Fast/Slow/Mid configuration
Trading Signals
Show Golden/Death Cross
Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal)
Symbols:
Yellow dot "GC" below - Golden Cross
Dark red dot "DC" above - Death Cross
Show STRONG Signals
STRONG BUY and STRONG SELL - the most powerful indicator signals
Conditions for STRONG BULLISH:
EMA Alignment: Fast > Mid > Slow (all EMAs aligned)
Trend: Fast > Slow (clear uptrend)
Distance: EMAs separated by minimum 0.15%
Price Position: Price above Fast EMA
Fast Slope: Fast EMA rising
Slow Slope: Slow EMA rising
Mid Trending: Mid EMA also rising (if enabled)
Conditions for STRONG BEARISH:
Same but in reverse
Visual display:
Green label "STRONG BUY" below bar
Pink label "STRONG SELL" above bar
Difference from Golden/Death Cross:
Golden/Death Cross = crossing moment (1 bar)
STRONG signal = sustained trend (lasts several bars)
IMPORTANT: After fixes, STRONG signals now:
Work on all timeframes (M1 to MN)
Don't break on small retracements
Work with any Fast/Mid/Slow combination
Automatically adapt thanks to EMA sorting
Show Stop Loss/Take Profit
Automatic SL/TP level calculation on STRONG signal
Parameters:
Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss
1.5 (recommended) - standard
1.0 - tight stop
2.0-3.0 - wide stop
Take Profit R:R (1.0-5.0): Risk/reward ratio
2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR)
1.5 - conservative
3.0-5.0 - aggressive
Formulas:
LONG:
Stop Loss = Entry - (ATR × Stop Loss ATR)
Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R)
SHORT:
Stop Loss = Entry + (ATR × Stop Loss ATR)
Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R)
Visualization:
Red X - Stop Loss
Green X - Take Profit
Levels remain active while STRONG signal persists
Trading Signals
Signal Types
1. Golden Cross
Description: Fast EMA crosses Slow EMA from below
Signal: Beginning of bullish trend
How to trade:
ENTRY: On bar close with Golden Cross
STOP: Below local low or below Slow EMA
TARGET: Next resistance level or 2:1 R:R
Strengths:
Simple and clear
Works well on trending markets
Clear entry point
Weaknesses:
Lags (signal after movement starts)
Many false signals in ranging markets
May be late on fast moves
Optimal timeframes: H1, H4, D1
2. Death Cross
Description: Fast EMA crosses Slow EMA from above
Signal: Beginning of bearish trend
How to trade:
ENTRY: On bar close with Death Cross
STOP: Above local high or above Slow EMA
TARGET: Next support level or 2:1 R:R
Application: Mirror of Golden Cross
3. STRONG BUY
Description: All EMAs aligned + trend + all EMAs rising
Signal: Powerful bullish trend
How to trade:
ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA
STOP: Below Fast EMA or automatic SL (if enabled)
TARGET: Automatic TP (if enabled) or by levels
TRAILING: Follow Fast EMA
Entry strategies:
Aggressive: Enter immediately on signal
Conservative: Wait for pullback to Fast EMA, then enter on bounce
Pyramiding: Add positions on pullbacks to Mid EMA
Position management:
Hold while STRONG signal active
Exit on STRONG SELL or Death Cross appearance
Move stop behind Fast EMA
Strengths:
Most reliable indicator signal
Doesn't break on pullbacks
Catches large moves
Works on all timeframes
Weaknesses:
Appears less frequently than other signals
Requires confirmation (multiple conditions)
Optimal timeframes: All (M5 - D1)
4. STRONG SELL
Description: All EMAs aligned down + downtrend + all EMAs falling
Signal: Powerful bearish trend
How to trade: Mirror of STRONG BUY
Visual Signals
Pulsing Ribbon Bar
Quick market assessment at a glance:
Symbol Color State
Filled square Green STRONG BULLISH
Filled square Pink STRONG BEARISH
Hollow square Blue Bullish
Hollow square Red Bearish
Rectangle Purple Neutral
Pulsation: Sinusoidal, creates living effect
Signal Bar Highlights
Bars with signals are highlighted:
Green highlight: STRONG BUY or Golden Cross
Pink highlight: STRONG SELL or Death Cross
Gradient Clouds
Colored space between EMAs shows trend strength:
Wide clouds - strong trend
Narrow clouds - weak trend or consolidation
Color change - trend change
Info Table
Quick reference in corner:
TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN)
Momentum %: Movement strength
Effects: Active visual effects
Setup: Fast/Slow/Mid configuration
Usage Strategies
Strategy 1: "Golden Trailing"
Idea: Follow STRONG signals using Fast EMA as trailing stop
Settings:
Fast: Phi Golden (Phi³)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base Multiplier: 10
Timeframe: H1, H4
Entry rules:
Wait for STRONG BUY
Enter on bar close or on pullback to Fast EMA
Stop below Fast EMA
Management:
Hold position while STRONG signal active
Move stop behind Fast EMA daily
Exit on STRONG SELL or Death Cross
Take Profit:
Partially close at +2R
Trail remainder until exit signal
For whom: Swing traders, trend followers
Pros:
Catches large moves
Simple rules
Emotionally comfortable
Cons:
Requires patience
Possible extended drawdowns on pullbacks
Strategy 2: "Scalping Bounces"
Idea: Scalp bounces from Fast EMA during STRONG trend
Settings:
Fast: Delta Adaptive (Base 15, Sensitivity 2.0)
Mid: Phi Golden (Phi²)
Slow: Pi Circular (2Pi)
Base Multiplier: 5
Timeframe: M5, M15
Entry rules:
STRONG signal must be active
Wait for price pullback to Fast EMA
Enter on bounce (candle closes above/below Fast EMA)
Stop behind local extreme (15-20 pips)
Take Profit:
+1.5R or to Mid EMA
Or to next level
For whom: Active day traders
Pros:
Many signals
Clear entry point
Quick profits
Cons:
Requires constant monitoring
Not all bounces work
Requires discipline for frequent trading
Strategy 3: "Triple Filter"
Idea: Enter only when all 3 EMAs and price perfectly aligned
Settings:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (3Pi)
Base Multiplier: 15
Timeframe: H4, D1
Entry rules (LONG):
STRONG BUY active
Price above all three EMAs
Fast > Mid > Slow (all aligned)
All EMAs rising (slope up)
Gradient Clouds wide and bright
Entry:
On bar close meeting all conditions
Or on next pullback to Fast EMA
Stop:
Below Mid EMA or -1.5 ATR
Take Profit:
First target: +3R
Second target: next major level
Trailing: Mid EMA
For whom: Conservative swing traders, investors
Pros:
Very reliable signals
Minimum false entries
Large profit potential
Cons:
Rare signals (2-5 per month)
Requires patience
Strategy 4: "Adaptive Scalper"
Idea: Use only Delta Adaptive EMA for quick volatility reaction
Settings:
Fast: Delta Adaptive (Base 10, Sensitivity 3.0)
Mid: None
Slow: Delta Adaptive (Base 30, Sensitivity 2.0)
Base Multiplier: 3
Timeframe: M1, M5
Feature: Two different Delta EMAs with different settings
Entry rules:
Golden Cross between two Delta EMAs
Both Delta EMAs must be rising/falling
Enter on next bar
Stop:
10-15 pips or below Slow Delta EMA
Take Profit:
+1R to +2R
Or Death Cross
For whom: Scalpers on cryptocurrencies and forex
Pros:
Instant volatility adaptation
Many signals on volatile markets
Quick results
Cons:
Much noise on calm markets
Requires fast execution
High commissions may eat profits
Strategy 5: "Cyclical Trader"
Idea: Use Pi and Lambda for trading cyclical markets
Settings:
Fast: Pi Circular (1Pi)
Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50)
Slow: Pi Circular (3Pi)
Base Multiplier: 10
Timeframe: H1, H4
Entry rules:
STRONG signal active
Lambda Wave EMA synchronized with trend
Enter on bounce from Lambda Wave
For whom: Traders of cyclical assets (some altcoins, commodities)
Pros:
Catches cyclical movements
Lambda Wave provides additional entry points
Cons:
More complex to configure
Not for all markets
Lambda Wave may give false signals
Strategy 6: "Multi-Timeframe Confirmation"
Idea: Use multiple timeframes for confirmation
Scheme:
Higher TF (D1): Determine trend direction (STRONG signal)
Middle TF (H4): Wait for STRONG signal in same direction
Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA)
Settings for all TFs:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base Multiplier: 10
Rules:
All 3 TFs must show one trend
Entry on lower TF
Stop by lower TF
Target by higher TF
For whom: Serious traders and investors
Pros:
Maximum reliability
Large profit targets
Minimum false signals
Cons:
Rare setups
Requires analysis of multiple charts
Experience needed
Practical Tips
DOs
Use STRONG signals as primary - they're most reliable
Let signals develop - don't exit on first pullback
Use trailing stop - follow Fast EMA
Combine with levels - S/R, Fibonacci, volumes
Test on demo before real
Adjust Base Multiplier for your timeframe
Enable visual effects - they help see the picture
Use Info Table - quick situation assessment
Watch Pulsing Bar - instant state indicator
Trust auto-sorting of Fast/Mid/Slow
DON'Ts
Don't trade against STRONG signal - trend is your friend
Don't ignore Mid EMA - it adds reliability
Don't use too small Base Multiplier on higher TFs
Don't enter on Golden Cross in range - check for trend
Don't change settings during open position
Don't forget risk management - 1-2% per trade
Don't trade all signals in row - choose best ones
Don't use indicator in isolation - combine with Price Action
Don't set too tight stops - let trade breathe
Don't over-optimize - simplicity = reliability
Optimal Settings by Asset
US Stocks (SPY, AAPL, TSLA)
Recommendation:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base: 10-15
Timeframe: H4, D1
Features:
Use on daily for swing
STRONG signals very reliable
Works well on trending stocks
Forex (EUR/USD, GBP/USD)
Recommendation:
Fast: Delta Adaptive (Base 15, Sens 2.0)
Mid: Phi Golden (Phi²)
Slow: Pi Circular (2Pi)
Base: 8-12
Timeframe: M15, H1, H4
Features:
Delta Adaptive works excellently on news
Many signals on M15-H1
Consider spreads
Cryptocurrencies (BTC, ETH, altcoins)
Recommendation:
Fast: Delta Adaptive (Base 10, Sens 3.0)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base: 5-10
Timeframe: M5, M15, H1
Features:
High volatility - adaptation needed
STRONG signals can last days
Be careful with scalping on M1-M5
Commodities (Gold, Oil)
Recommendation:
Fast: Pi Circular (1Pi)
Mid: Phi Golden (Phi³)
Slow: Pi Circular (3Pi)
Base: 12-18
Timeframe: H4, D1
Features:
Pi works excellently on cyclical commodities
Gold responds especially well to Phi
Oil volatile - use wide stops
Indices (S&P500, Nasdaq, DAX)
Recommendation:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base: 15-20
Timeframe: H4, D1, W1
Features:
Very trending instruments
STRONG signals last weeks
Good for position trading
Alerts
The indicator supports 6 alert types:
1. Golden Cross
Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!"
When: Fast EMA crosses Slow EMA from below
2. Death Cross
Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!"
When: Fast EMA crosses Slow EMA from above
3. STRONG BULLISH
Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!"
When: All conditions for STRONG BUY met (first bar)
4. STRONG BEARISH
Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!"
When: All conditions for STRONG SELL met (first bar)
5. Bullish Ribbon
Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend"
When: EMAs aligned bullish + price above Fast EMA (less strict condition)
6. Bearish Ribbon
Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend"
When: EMAs aligned bearish + price below Fast EMA (less strict condition)
How to Set Up Alerts:
Open indicator on chart
Click on three dots next to indicator name
Select "Create Alert"
In "Condition" field select needed alert:
Golden Cross
Death Cross
STRONG BULLISH
STRONG BEARISH
Bullish Ribbon
Bearish Ribbon
Configure notification method:
Pop-up in browser
Email
SMS (in Premium accounts)
Push notifications in mobile app
Webhook (for automation)
Select frequency:
Once Per Bar Close (recommended) - once on bar close
Once Per Bar - during bar formation
Only Once - only first time
Click "Create"
Tip: Create separate alerts for different timeframes and instruments
FAQ
1. Why don't STRONG signals appear?
Possible reasons:
Incorrect Fast/Mid/Slow order
Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods
Base Multiplier too large
Solution: Reduce Base to 5-10 on lower timeframes
Market in range
Solution: STRONG signals appear only in trends - this is normal
Too strict EMA settings
Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10
Mid EMA too close to Fast or Slow
Solution: Select Mid EMA with period between Fast and Slow
2. How often should STRONG signals appear?
Normal frequency:
M1-M5: 5-15 signals per day (very active markets)
M15-H1: 2-8 signals per day
H4: 3-10 signals per week
D1: 2-5 signals per month
W1: 2-6 signals per year
If too many signals - market very volatile or Base too small
If too few signals - market in range or Base too large
4. What are the best settings for beginners?
Universal "out of the box" settings:
Matrix Core:
Base Multiplier: 10
Source: close
Phi Golden: Enabled, Power = 3
Pi Circular: Enabled, Multiple = 2
e Natural: Enabled, Power = 2
Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0
Manual Selection:
Fast: Phi Golden
Mid: e Natural
Slow: Pi Circular
Visualization:
Gradient Clouds: ON
Neon Glow: ON (Medium)
Pulsing Bar: ON (Medium)
Signal Highlights: ON (Light Fill)
Table: ON (Top Right, Small)
Signals:
Golden/Death Cross: ON
STRONG Signals: ON
Stop Loss: OFF (while learning)
Timeframe for learning: H1 or H4
5. Can I use only one EMA?
No, minimum 2 EMAs (Fast and Slow) for signal generation.
Mid EMA is optional:
With Mid EMA = more reliable but rarer signals
Without Mid EMA = more signals but less strict filtering
Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment
6. Does the indicator work on cryptocurrencies?
Yes, works excellently! Especially good on:
Bitcoin (BTC)
Ethereum (ETH)
Major altcoins (SOL, BNB, XRP)
Recommended settings for crypto:
Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base: 5-10
Timeframe: M15, H1, H4
Crypto market features:
High volatility → use Delta Adaptive
24/7 trading → set alerts
Sharp movements → wide stops
7. Can I trade only with this indicator?
Technically yes, but NOT recommended.
Best approach - combine with:
Price Action - support/resistance levels, candle patterns
Volume - movement strength confirmation
Fibonacci - retracement and extension levels
RSI/MACD - divergences and overbought/oversold
Fundamental analysis - news, company reports
Hellenic Matrix:
Excellently determines trend and its strength
Provides clear entry/exit points
Doesn't consider fundamentals
Doesn't see major levels
8. Why do Gradient Clouds change color?
Color depends on EMA order:
Phi-Pi Cloud:
Blue - Pi EMA above Phi EMA (bullish alignment)
Gold - Phi EMA above Pi EMA (bearish alignment)
Pi-e Cloud:
Green - e EMA above Pi EMA (bullish alignment)
Blue - Pi EMA above e EMA (bearish alignment)
Color change = EMA order change = possible trend change
9. What is Momentum % in the table?
Momentum % = percentage deviation of price from Fast EMA
Formula:
Momentum = ((Close - Fast EMA) / Fast EMA) × 100
Interpretation:
+0.5% to +2% - normal bullish momentum
+2% to +5% - strong bullish momentum
+5% and above - overheating (correction possible)
-0.5% to -2% - normal bearish momentum
-2% to -5% - strong bearish momentum
-5% and below - oversold (bounce possible)
Usage:
Monitor momentum during STRONG signals
Large momentum = don't enter (wait for pullback)
Small momentum = good entry point
10. How to configure for scalping?
Settings for scalping (M1-M5):
Base Multiplier: 3-5
Source: close or hlc3 (smoother)
Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0)
Mid: None (for more signals)
Slow: Phi Golden (Phi²) or Pi Circular (1Pi)
Visualization:
- Gradient Clouds: ON (helps see strength)
- Neon Glow: OFF (doesn't clutter chart)
- Pulsing Bar: ON (quick assessment)
- Signal Highlights: ON
Signals:
- Golden/Death Cross: ON
- STRONG Signals: ON
- Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0)
Scalping rules:
Trade only STRONG signals
Enter on bounce from Fast EMA
Tight stops (10-20 pips)
Quick take profit (+1R to +2R)
Don't hold through news
11. How to configure for long-term investing?
Settings for investing (D1-W1):
Base Multiplier: 20-30
Source: close
Fast: Phi Golden (Phi³ or Phi⁴)
Mid: e Natural (e²)
Slow: Pi Circular (3Pi or 4Pi)
Visualization:
- Gradient Clouds: ON
- Neon Glow: ON (Medium)
- Everything else - to taste
Signals:
- Golden/Death Cross: ON
- STRONG Signals: ON
- Stop Loss: OFF (use percentage stop)
Investing rules:
Enter only on STRONG signals
Hold while STRONG active (weeks/months)
Stop below Slow EMA or -10%
Take profit: by company targets or +50-100%
Ignore short-term pullbacks
12. What if indicator slows down chart?
Indicator is optimized, but if it slows:
Disable unnecessary visual effects:
Neon Glow: OFF (saves 8 plots)
Gradient Clouds: ON but low quality
Lambda Wave EMA: OFF (if not using)
Reduce number of active EMAs:
Sigma Composite: OFF
Lambda Wave: OFF
Leave only Phi, Pi, e, Delta
Simplify settings:
Pulsing Bar: OFF
Greek Labels: OFF
Info Table: smaller size
13. Can I use on different timeframes simultaneously?
Yes! Multi-timeframe analysis is very powerful:
Classic scheme:
Higher TF (D1, W1) - determine global trend
Wait for STRONG signal
This is our trading direction
Middle TF (H4, H1) - look for confirmation
STRONG signal in same direction
Precise entry zone
Lower TF (M15, M5) - entry point
Golden Cross or bounce from Fast EMA
Precise stop loss
Example:
W1: STRONG BUY active (global uptrend)
H4: STRONG BUY appeared (confirmation)
M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY
Advantages:
Maximum reliability
Clear timeframe hierarchy
Large targets
14. How does indicator work on news?
Delta Adaptive EMA adapts excellently to news:
Before news:
Low volatility → Delta EMA becomes fast → pulls to price
During news:
Sharp volatility spike → Delta EMA slows → filters noise
After news:
Volatility normalizes → Delta EMA returns to normal
Recommendations:
Don't trade at news release moment (spreads widen)
Wait for STRONG signal after news (2-5 bars)
Use Delta Adaptive as Fast EMA for quick reaction
Widen stops by 50-100% during important news
Advanced Techniques
Technique 1: "Divergences with EMA"
Idea: Look for discrepancies between price and Fast EMA
Bullish divergence:
Price makes lower low
Fast EMA makes higher low
= Possible reversal up
Bearish divergence:
Price makes higher high
Fast EMA makes lower high
= Possible reversal down
How to trade:
Find divergence
Wait for STRONG signal in divergence direction
Enter on confirmation
Technique 2: "EMA Tunnel"
Idea: Use space between Fast and Slow EMA as "tunnel"
Rules:
Wide tunnel - strong trend, hold position
Narrow tunnel - weak trend or consolidation, caution
Tunnel narrowing - trend weakening, prepare to exit
Tunnel widening - trend strengthening, can add
Visually: Gradient Clouds show this automatically!
Trading:
Enter on STRONG signal (tunnel starts widening)
Hold while tunnel wide
Exit when tunnel starts narrowing
Technique 3: "Wave Analysis with Lambda"
Idea: Lambda Wave EMA creates sinusoid matching market cycles
Setup:
Lambda Base Period: 30
Lambda Wave Amplitude: 0.5
Lambda Wave Frequency: 50 (adjusted to asset cycle)
How to find correct Frequency:
Look at historical cycles (distance between local highs)
Average distance = your Frequency
Example: if highs every 40-60 bars, set Frequency = 50
Trading:
Enter when Lambda Wave at bottom of sinusoid (growth potential)
Exit when Lambda Wave at top (fall potential)
Combine with STRONG signals
Technique 4: "Cluster Analysis"
Idea: When all EMAs gather in narrow cluster = powerful breakout soon
Cluster signs:
All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other
Gradient Clouds almost invisible
Price jumping around all EMAs
Trading:
Identify cluster (all EMAs close)
Determine breakout direction (where more volume, higher TFs direction)
Wait for breakout and STRONG signal
Enter on confirmation
Target = cluster size × 3-5
This is very powerful technique for big moves!
Technique 5: "Sigma as Dynamic Level"
Idea: Sigma Composite EMA = average of all EMAs = magnetic level
Usage:
Enable Sigma Composite (Weighted Average)
Sigma works as dynamic support/resistance
Price often returns to Sigma before trend continuation
Trading:
In trend: Enter on bounces from Sigma
In range: Fade moves from Sigma (trade return to Sigma)
On breakout: Sigma becomes support/resistance
Risk Management
Basic Rules
1. Position Size
Conservative: 1% of capital per trade
Moderate: 2% of capital per trade (recommended)
Aggressive: 3-5% (only for experienced)
Calculation formula:
Lot Size = (Capital × Risk%) / (Stop in pips × Pip value)
2. Risk/Reward Ratio
Minimum: 1:1.5
Standard: 1:2 (recommended)
Optimal: 1:3
Aggressive: 1:5+
3. Maximum Drawdown
Daily: -3% to -5%
Weekly: -7% to -10%
Monthly: -15% to -20%
Upon reaching limit → STOP trading until end of period
Position Management Strategies
1. Fixed Stop
Method:
Stop below/above Fast EMA or local extreme
DON'T move stop against position
Can move to breakeven
For whom: Beginners, conservative traders
2. Trailing by Fast EMA
Method:
Each day (or bar) move stop to Fast EMA level
Position closes when price breaks Fast EMA
Advantages:
Stay in trend as long as possible
Automatically exit on reversal
For whom: Trend followers, swing traders
3. Partial Exit
Method:
50% of position close at +2R
50% hold with trailing by Mid EMA or Slow EMA
Advantages:
Lock profit
Leave position for big move
Psychologically comfortable
For whom: Universal method (recommended)
4. Pyramiding
Method:
First entry on STRONG signal (50% of planned position)
Add 25% on pullback to Fast EMA
Add another 25% on pullback to Mid EMA
Overall stop below Slow EMA
Advantages:
Average entry price
Reduce risk
Increase profit in strong trends
Caution:
Works only in trends
In range leads to losses
For whom: Experienced traders
Trading Psychology
Correct Mindset
1. Indicator is a tool, not holy grail
Indicator shows probability, not guarantee
There will be losing trades - this is normal
Important is series statistics, not one trade
2. Trust the system
If STRONG signal appeared - enter
Don't search for "perfect" moment
Follow trading plan
3. Patience
STRONG signals don't appear every day
Better miss signal than enter against trend
Quality over quantity
4. Discipline
Always set stop loss
Don't move stop against position
Don't increase risk after losses
Beginner Mistakes
1. "I know better than indicator"
Indicator says STRONG BUY, but you think "too high, will wait for pullback"
Result: miss profitable move
Solution: Trust signals or don't use indicator
2. "Will reverse now for sure"
Trading against STRONG trend
Result: stops, stops, stops
Solution: Trend is your friend, trade with trend
3. "Will hold a bit more"
Don't exit when STRONG signal disappears
Greed eats profit
Solution: If signal gone - exit!
4. "I'll recover"
After losses double risk
Result: huge losses
Solution: Fixed % risk ALWAYS
5. "I don't like this signal"
Skip signals because of "feeling"
Result: inconsistency, no statistics
Solution: Trade ALL signals or clearly define filters
Trading Journal
What to Record
For each trade:
1. Entry/exit date and time
2. Instrument and timeframe
3. Signal type
Golden Cross
STRONG BUY
STRONG SELL
Death Cross
4. Indicator settings
Fast/Mid/Slow EMA
Base Multiplier
Other parameters
5. Chart screenshot
Entry moment
Exit moment
6. Trade parameters
Position size
Stop loss
Take Profit
R:R
7. Result
Profit/Loss in $
Profit/Loss in %
Profit/Loss in R
8. Notes
What was right
What was wrong
Emotions during trade
Lessons
Journal Analysis
Analyze weekly:
1. Win Rate
Win Rate = (Profitable trades / All trades) × 100%
Good: 50-60%
Excellent: 60-70%
Exceptional: 70%+
2. Average R
Average R = Sum of all R / Number of trades
Good: +0.5R
Excellent: +1.0R
Exceptional: +1.5R+
3. Profit Factor
Profit Factor = Total profit / Total losses
Good: 1.5+
Excellent: 2.0+
Exceptional: 3.0+
4. Maximum Drawdown
Track consecutive losses
If more than 5 in row - stop, check system
5. Best/Worst Trades
What was common in best trades? (do more)
What was common in worst trades? (avoid)
Pre-Trade Checklist
Technical Analysis
STRONG signal active (BUY or SELL)
All EMAs properly aligned (Fast > Mid > Slow or reverse)
Price on correct side of Fast EMA
Gradient Clouds confirm trend
Pulsing Bar shows STRONG state
Momentum % in normal range (not overheated)
No close strong levels against direction
Higher timeframe doesn't contradict
Risk Management
Position size calculated (1-2% risk)
Stop loss set
Take profit calculated (minimum 1:2)
R:R satisfactory
Daily/weekly risk limit not exceeded
No other open correlated positions
Fundamental Analysis
No important news in coming hours
Market session appropriate (liquidity)
No contradicting fundamentals
Understand why asset is moving
Psychology
Calm and thinking clearly
No emotions from previous trades
Ready to accept loss at stop
Following trading plan
Not revenging market for past losses
If at least one point is NO - think twice before entering!
Learning Roadmap
Week 1: Familiarization
Goals:
Install and configure indicator
Study all EMA types
Understand visualization
Tasks:
Add indicator to chart
Test all Fast/Mid/Slow settings
Play with Base Multiplier on different timeframes
Observe Gradient Clouds and Pulsing Bar
Study Info Table
Result: Comfort with indicator interface
Week 2: Signals
Goals:
Learn to recognize all signal types
Understand difference between Golden Cross and STRONG
Tasks:
Find 10 Golden Cross examples in history
Find 10 STRONG BUY examples in history
Compare their results (which worked better)
Set up alerts
Get 5 real alerts
Result: Understanding signals
Week 3: Demo Trading
Goals:
Start trading signals on demo account
Gather statistics
Tasks:
Open demo account
Trade ONLY STRONG signals
Keep journal (minimum 20 trades)
Don't change indicator settings
Strictly follow stop losses
Result: 20+ documented trades
Week 4: Analysis
Goals:
Analyze demo trading results
Optimize approach
Tasks:
Calculate win rate and average R
Find patterns in profitable trades
Find patterns in losing trades
Adjust approach (not indicator!)
Write trading plan
Result: Trading plan on 1 page
Month 2: Improvement
Goals:
Deepen understanding
Add additional techniques
Tasks:
Study multi-timeframe analysis
Test combinations with Price Action
Try advanced techniques (divergences, tunnels)
Continue demo trading (minimum 50 trades)
Achieve stable profitability on demo
Result: Win rate 55%+ and Profit Factor 1.5+
Month 3: Real Trading
Goals:
Transition to real account
Maintain discipline
Tasks:
Open small real account
Trade minimum lots
Strictly follow trading plan
DON'T increase risk
Focus on process, not profit
Result: Psychological comfort on real
Month 4+: Scaling
Goals:
Increase account
Become consistently profitable
Tasks:
With 60%+ win rate can increase risk to 2%
Upon doubling account can add capital
Continue keeping journal
Periodically review and improve strategy
Share experience with community
Result: Stable profitability month after month
Additional Resources
Recommended Reading
Technical Analysis:
"Technical Analysis of Financial Markets" - John Murphy
"Trading in the Zone" - Mark Douglas (psychology)
"Market Wizards" - Jack Schwager (trader interviews)
EMA and Moving Averages:
"Moving Averages 101" - Steve Burns
Articles on Investopedia about EMA
Risk Management:
"The Mathematics of Money Management" - Ralph Vince
"Trade Your Way to Financial Freedom" - Van K. Tharp
Trading Journals:
Edgewonk (paid, very powerful)
Tradervue (free version + premium)
Excel/Google Sheets (free)
Screeners:
TradingView Stock Screener
Finviz (stocks)
CoinMarketCap (crypto)
Conclusion
Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines:
Mathematical elegance - Phi, Pi, e instead of arbitrary numbers
Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar
Reliable signals - STRONG BUY/SELL work on all timeframes
Flexibility - 6 EMA types, adaptation to any trading style
Automation - auto-sorting EMAs, SL/TP calculation, alerts
Key Success Principles:
Simplicity - start with basic settings (Phi/Pi/e, Base=10)
Discipline - follow STRONG signals strictly
Patience - wait for quality setups
Risk Management - 1-2% per trade, ALWAYS
Journal - document every trade
Learning - constantly improve skills
Remember:
Indicator shows probability, not guarantee
Important is series statistics, not one trade
Psychology more important than technique
Quality more important than quantity
Process more important than result
Acknowledgments
Thank you for using Hellenic EMA Matrix - Alpha Omega Premium!
The indicator was created with love for mathematics, markets, and beautiful visualization.
Wishing you profitable trading!
Guide Version: 1.0
Date: 2025
Compatibility: Pine Script v6, TradingView
"In the simplicity of mathematical constants lies the complexity of market movements"
Gold 3min Trading Pro [XAU/USD]# Gold 3min Trading Pro - User Guide
## Overview
This is a professional scalping indicator specifically designed for Gold (XAU/USD) trading on 3-minute timeframes. It combines multiple technical analysis methods to provide high-probability entry signals for short-term trading.
## Key Features
### 1. Multi-Timeframe Trend Analysis
- **Major Trend**: Analyzes 15min, 1H, and 4H timeframes using moving averages
- **Short-term Trend**: Focuses on 3-minute price action and moving average alignment
- **Trend Strength**: Rated from 1-3 based on timeframe agreement
### 2. Core Indicators
- **RSI (9-period)**: Momentum oscillator for overbought/oversold conditions
- **Stochastic (9-period)**: %K and %D lines for entry timing
- **MACD**: Additional trend confirmation
- **Volume Analysis**: Detects volume spikes for signal validation
- **ATR-based Volatility Filter**: Ensures adequate market movement
### 3. Signal Types
- **Primary Signals**: Green triangles (LONG) and Red triangles (SHORT)
- **Enhanced Signals**: Stronger signals with multiple confirmations
- **Confirmation Signals**: Small circles for stochastic crossovers
## How to Use
### 1. Setup
- **Timeframe**: Use on 3-minute charts for Gold (XAU/USD)
- **Settings**: Default settings are optimized for Gold scalping
- **Session Filter**: Enable for London/New York sessions (recommended)
### 2. Entry Conditions
#### LONG Entry:
- Major trend is bullish (green background)
- Short-term trend is up or neutral
- RSI shows bullish momentum
- Stochastic indicates oversold recovery
- Volume spike confirmation
- Strong price action (bullish candle)
#### SHORT Entry:
- Major trend is bearish (red background)
- Short-term trend is down or neutral
- RSI shows bearish momentum
- Stochastic indicates overbought reversal
- Volume spike confirmation
- Strong price action (bearish candle)
### 3. Trade Management
- **Quick Target**: 50% of ATR-based calculation
- **Main Target**: Full ATR-based target
- **Stop Loss**: 60% of ATR below/above entry
- **Time Limit**: Exit if no progress within 20 bars (60 minutes)
### 4. Risk Management
- **Position Size**: Risk 1-2% of account per trade
- **Maximum Trades**: 3-5 trades per session
- **Avoid**: Low volatility periods and major news events
## Visual Elements
### Background Colors
- **Light Green**: Bullish major trend
- **Light Red**: Bearish major trend
- **Yellow**: Volume spike detected
- **Intense Colors**: Very strong trend alignment
### Chart Indicators
- **RSI Line (Blue)**: Main momentum indicator
- **Stochastic %K (Orange)**: Fast stochastic line
- **Stochastic %D (Yellow)**: Slow stochastic line
- **Horizontal Lines**: 70 (overbought), 30 (oversold), 50 (midline)
### Information Table (Top Right)
- Total signal count and performance statistics
- Current market conditions and trend strength
- RSI levels and volatility status
- Trading session information
- Last signal timing
## Alert System
### Standard Alerts
- **Scalp Long Signal**: Basic long entry signal
- **Scalp Short Signal**: Basic short entry signal
- **Premium Signals**: High-quality signals with strong confirmation
- **Trend Reversal**: Major trend change notifications
### Alert Setup
1. Right-click on chart → "Add Alert"
2. Select desired alert condition
3. Configure notification method (popup, email, webhook)
4. Set alert frequency to "Once Per Bar Close"
## Best Practices
### 1. Trading Sessions
- **Optimal**: London-NY overlap (3:00-5:00 PM EST)
- **Good**: London session (2:00-11:00 AM EST)
- **Avoid**: Asian session and major news releases
### 2. Market Conditions
- **Best**: Trending markets with normal to high volatility
- **Moderate**: Ranging markets during active sessions
- **Avoid**: Extremely low volatility or choppy conditions
### 3. Confirmation Rules
- Wait for signal triangle to appear
- Check that major trend aligns with signal direction
- Verify volume spike (yellow background)
- Ensure volatility is adequate (check info table)
### 4. Entry Timing
- Enter immediately after signal confirmation
- Use market orders for scalping speed
- Set stop loss and take profit levels immediately
## Settings Customization
### Essential Settings
- **MA Type**: EMA (recommended) or SMA
- **RSI Length**: 9 (default, can adjust 5-14)
- **Volume Threshold**: 1.8 (higher = fewer but stronger signals)
- **Volatility Filter**: Keep enabled for better signal quality
### Display Options
- **Show Scalping Signals**: Main entry signals
- **Show Performance Stats**: Information table
- **Show Trend Filter**: Background trend colors
- **Use Time Filter**: Session-based filtering
## Performance Optimization
### 1. Backtesting Tips
- Test on different market conditions
- Analyze win rate and average profit/loss
- Adjust settings based on historical performance
### 2. Signal Quality
- Higher trend strength (2-3) = better signals
- Volume confirmation improves success rate
- Enhanced signals have higher probability
### 3. Risk Control
- Never risk more than 2% per trade
- Use proper position sizing
- Stop trading after 3 consecutive losses
## Troubleshooting
### Common Issues
1. **No Signals**: Check volatility filter and session timing
2. **Too Many Signals**: Increase volume threshold or enable filters
3. **Poor Performance**: Verify timeframe (must be 3-minute) and symbol (XAU/USD)
### Support
- Ensure TradingView Pro+ subscription for multi-timeframe data
- Verify Gold symbol matches your broker's format
- Update to latest TradingView version
This indicator is designed for experienced traders familiar with scalping techniques and risk management. Always practice on demo accounts before live trading.
