Auto Support Resistance Channels [TradingFinder] Top/Down Signal🔵 Introduction
In technical analysis, a price channel is one of the most widely used tools for identifying and tracking price trends. A price channel consists of two parallel trendlines, typically drawn from swing highs (resistance) and swing lows (support). These lines define dynamic support and resistance zones and provide a clear framework for interpreting price fluctuations.
Drawing a channel on a price chart allows the analyst to more precisely identify entry points, exit levels, take-profit zones, and stop-loss areas based on how the price behaves within the boundaries of the channel.
Price channels in technical analysis are generally categorized into three types: upward channels with a positive slope, downward channels with a negative slope, and horizontal (range-bound) channels with near-zero slope. Each type offers unique insights into market behavior depending on the price structure and prevailing trend.
Structurally, channels can be formed using either minor or major pivot points. A major channel typically reflects a stronger, more reliable structure that appears on higher timeframes, whereas a minor channel often captures short-term fluctuations or corrective movements within a larger trend.
For instance, a major downward channel may indicate sustained selling pressure across the market, while a minor upward channel could represent a temporary pullback within a broader bearish trend.
The validity of a price channel depends on several factors, including the number of price touches on the channel lines, the symmetry and parallelism of the trendlines, the duration of price movement within the channel, and price behavior around the median line.
When a price channel is broken, it is generally expected that the price will move in the breakout direction by at least the width of the channel. This makes price channels especially useful in breakout analysis.
In the following sections, we will explore the different types of price channels, how to draw them accurately, the structural differences between minor and major channels, and key trade interpretations when price interacts with channel boundaries.
Up Channel :
Down Channel :
🔵 How to Use
A price channel is a practical tool in technical analysis for identifying areas of support, resistance, trend direction, and potential breakout zones. The structure consists of two parallel trendlines within which price fluctuates.
Traders use the relative position of price within the channel to make informed trading decisions. The two primary strategies include range-based trades (buying low, selling high) and breakout trades (entering when price exits the channel).
🟣 Up Channel
In an upward channel, price moves within a positively sloped range. The lower trendline acts as dynamic support, while the upper trendline serves as dynamic resistance. A common strategy involves buying near the lower support and taking profit or selling near the upper resistance.
If price breaks below the lower trendline with strong volume or a decisive candle, it can signal a potential trend reversal. Channels constructed from major pivots generally reflect dominant uptrends, while those based on minor pivots are often corrective structures within a broader bearish movement.
🟣 Down Channel
In a downward channel, price moves between two negatively sloped lines. The upper trendline functions as resistance, and the lower trendline as support. Ideal entry for short trades occurs near the upper boundary, especially when confirmed by bearish price action or a resistance level.
Exit targets are typically located near the lower support. If the upper boundary is broken to the upside, it may be an early sign of a bullish trend reversal. Like upward channels, a major down channel represents broader selling pressure, while a minor one may indicate a brief retracement in a bullish move.
🟣 Range Channel
A horizontal or range-bound channel is characterized by price oscillating between two nearly flat lines. This type of channel typically appears during sideways markets or periods of consolidation.
Traders often buy near the lower boundary and sell near the upper boundary to take advantage of contained volatility. However, fake breakouts are more frequent in range-bound structures, so it is important to wait for confirmation through candlestick signals and volume. A confirmed breakout beyond the channel boundaries can justify entering a trade in the direction of the breakout.
🔵 Settings
Pivot Period :This parameter defines how sensitive the channel detection is. A higher value causes the algorithm to identify major pivot points, resulting in broader and longer-term channels. Lower values focus on minor pivots and create tighter, short-term channels.
🔔 Alerts
Alert Configuration :
Enable or disable the full alert system
Set a custom alert name
Choose the alert frequency: every time, once per bar, or on bar close
Define the time zone for alert timestamps (e.g., UTC)
Channel Alert Types :
Each channel type (Major/Minor, Internal/External, Up/Down) supports two alert types :
Break Alert : Triggered when price breaks above or below the channel boundaries
React Alert : Triggered when price touches and reacts (bounces) off the channel boundary
🎨 Display Settings
For each of the eight channel types, you can customize:
Visibility : show or hide the channel
Auto-delete previous channels when new ones are drawn
Style : line color, thickness, type (solid, dashed, dotted), extension (right only, both sides)
🔵 Conclusion
The price channel is a foundational structure in technical analysis that enables traders to analyze price movement, identify dynamic support and resistance zones, and locate potential entry and exit points with greater precision.
When constructed properly using minor or major pivots, a price channel offers a consistent and intuitive framework for interpreting market behavior—often simpler and more visually clear than many other technical tools.
Understanding the differences between upward, downward, and range-bound channels—as well as recognizing the distinctions between minor and major structures—is critical for selecting the right trading strategy. Upward channels tend to generate buying opportunities, downward channels prioritize short setups, and horizontal channels provide setups for both mean-reversion and breakout trades.
Ultimately, the reliability of a price channel depends on various factors such as the number of touchpoints, the duration of the channel, the parallelism of the lines, and how the price reacts to the median line.
By taking these factors into account, an experienced analyst can effectively use price channels as a powerful tool for trend forecasting and precise trade execution. Although conceptually simple, successful application of price channels requires practice, pattern recognition, and the ability to filter out market noise.
지표 및 전략
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Multi-Factor Reversal AnalyzerMulti-Factor Reversal Analyzer – Quantitative Reversal Signal System
OVERVIEW
Multi-Factor Reversal Analyzer is a comprehensive technical analysis toolkit designed to detect market tops and bottoms with high precision. It combines trend momentum analysis, price action behavior, wave oscillation structure, and volatility breakout potential into one unified indicator.
This indicator is not a random mix of tools — each module is carefully selected for a specific purpose. When combined, they form a multi-dimensional view of the market, merging trend analysis, momentum divergence, and volatility compression to produce high-confidence signals.
Why Combine These Modules?
Module Combination Ideas & How to Use Them
Factor A: Trend Detector + Gold Zone
Concept:
• The Trend Detector (light yellow histogram) evaluates market strength:
• Histogram trending downward or staying below 50 → bearish conditions;
• Trending upward or staying above 50 → bullish conditions.
• The Gold Zone identifies areas of volatility compression — typically a prelude to explosive market moves.
Practical Application:
• When the Gold Zone appears and the Trend Detector is bearish → likely downside move;
• When the Gold Zone appears and the Trend Detector is bullish → likely upside breakout.
• Note: The Gold Zone does not mean the bottom is in. It is not a buy signal on its own — always combine it with other modules for directional bias.
Factor B: PAI + Wave Trend
Concept:
• PAI (Price Action Index) is a custom oscillator that combines price momentum with volatility dispersion, displaying strength zones:
• Green area → bullish dominance;
• Red area → bearish pressure.
• Wave Trend offers smoothed crossover signals via the main and signal lines.
Practical Application:
• When PAI is in the green zone and Wave Trend makes a bullish crossover → potential reversal to the upside;
• When PAI is in the red zone and Wave Trend shows a bearish crossover → potential start of a downtrend.
Factor C: Trend Detector + PAI
Concept:
• Combines directional trend strength with price action strength to confirm setups via confluence.
Practical Application:
• Trend Detector histogram bottoms out + PAI enters the green zone → high chance of upward reversal;
• Histogram tops out + PAI in the red zone → increased likelihood of downside continuation.
Multi-Factor Confluence (Advanced Use)
• When Trend Detector, PAI, and Wave Trend all align in the same direction (bullish or bearish), the directional signal becomes significantly more reliable.
• This setup is especially useful for trend-following or swing trade entries.
KEY FEATURES
1. Multi-Layer Reversal Logic
• Combines trend scoring, oscillator divergence, and volatility squeezes for triangulated reversal detection.
• Helps traders distinguish between trend pullbacks and true reversals.
2. Advanced Divergence Detection
• Detects both regular and hidden divergences using pivot-based confirmation logic.
• Customizable lookback ranges and pivot sensitivity provide flexible tuning for different market styles.
3. Gold Zone Volatility Compression
• Highlights pre-breakout zones using custom oscillation models (RSI, harmonic, Karobein, etc.).
• Improves anticipation of breakout opportunities following low-volatility compressions.
4. Trend Direction Context
• PAI and Trend Score components provide top-down insight into prevailing bias.
• Built-in “Straddle Area” highlights consolidation zones; breakouts from this area often signal new trend phases.
5. Flexible Visualization
• Color-coded trend bars, reversal markers, normalized oscillator plots, and trend strength labels.
• Designed for both visual discretionary traders and data-driven system developers.
USAGE GUIDELINES
1. Applicable Markets
• Suitable for stocks, crypto, futures, and forex
• Supports reversal, mean-reversion, and breakout trading styles
2. Recommended Timeframes
• Short-term traders: 5m / 15m / 1H — use Wave Trend divergence + Gold Zone
• Swing traders: 4H / Daily — rely on Price Action Index and Trend Detector
• Macro trend context: use PAI HTF mode for higher timeframe overlays
3. Reversal Strategy Flow
• Watch for divergence (WT/PAI) + Gold Zone compression
• Confirm with Trend Score weakening or flipping
• Use Straddle Area breakout for final trigger
• Optional: enable bar coloring or labels for visual reinforcement
• The indicator performs optimally when used in conjunction with a harmonic pattern recognition tool
4. Additional Note on the Gold Zone
The “Gold Zone” does not directly indicate a market bottom. Since it is displayed at the bottom of the chart, it may be misunderstood as a bullish signal. In reality, the Gold Zone represents a compression of price momentum and volatility, suggesting that a significant directional move is about to occur. The direction of that move—upward or downward—should be determined by analyzing the histogram:
• If histogram momentum is weakening, the Gold Zone may precede a downward move.
• If histogram momentum is strengthening, it may signal an upcoming rebound or rally.
Treat the Gold Zone as a warning of impending volatility, and always combine it with trend indicators for accurate directional judgment.
RISK DISCLAIMER
• This indicator calculates trend direction based on historical data and cannot guarantee future market performance. When using this indicator for trading, always combine it with other technical analysis tools, fundamental analysis, and personal trading experience for comprehensive decision-making.
• Market conditions are uncertain, and trend signals may result in false positives or lag. Traders should avoid over-reliance on indicator signals and implement stop-loss strategies and risk management techniques to reduce potential losses.
• Leverage trading carries high risks and may result in rapid capital loss. If using this indicator in leveraged markets (such as futures, forex, or cryptocurrency derivatives), exercise caution, manage risks properly, and set reasonable stop-loss/take-profit levels to protect funds.
• All trading decisions are the sole responsibility of the trader. The developer is not liable for any trading losses. This indicator is for technical analysis reference only and does not constitute investment advice.
• Before live trading, it is recommended to use a demo account for testing to fully understand how to use the indicator and apply proper risk management strategies.
CHANGELOG
v1.0: Initial release featuring integrated Price Action Index, Trend Strength Scoring, Wave Trend Oscillator, Gold Zone Compression Detection, and dual-type divergence recognition. Supports higher timeframe (HTF) synchronization, visual signal markers, and diversified parameter configurations.
Trading Sessions [BigBeluga]
This indicator brings Smart Money Concept (ICT) session logic to life by plotting key global trading sessions with volume and delta analytics. It not only highlights session ranges but also tracks their midpoints — which often act as intraday support/resistance levels.
🔵 KEY FEATURES
Visual session boxes: Plots boxes for Tokyo, London, New York, and Sydney sessions based on user-defined UTC+0 time ranges.
Volume & delta metrics: Displays total volume and delta volume (buy–sell difference) within each session.
Mid, High & Low Range Extension: Once a session ends, the high, low, and midpoint levels automatically extend — ideal for detecting SR zones.
Session labels: Each box includes a label with session name, time, volume, and delta for quick reference.
Custom session control: Enable or disable sessions individually and configure start/end times.
Clean aesthetics: Transparent shaded boxes with subtle borders make it easy to overlay without clutter.
Sessions Dashboard: Shows the time range of each session and tells you whether the session is currently active.
🔵 USAGE
Enable the sessions you want to monitor (e.g., New York or Tokyo) from the settings.
Use session volume and delta values to gauge the strength and direction of institutional activity.
Watch for price interaction with the extended range — it often acts as dynamic support/resistance after the session ends.
Overlay it with liquidity tools or breaker blocks for intraday strategy alignment.
🔵 EXAMPLES
Extended Future Range acted as resistance/support.
Delta value helped confirm bullish pressure during New York open.
Multiple sessions helped identify kill zone overlaps and high-volume turns.
Trading Sessions is more than just a visual scheduler — it's a precision tool for traders who align with session-based volume dynamics and ICT methodology. Use it to define high-probability zones, confirm volume shifts, and read deeper into the true intent behind market structure.
ULTRA SCALP v6 - Hızlı ve TemizUltra Scalp v6 is a lightweight and fast-reacting indicator, engineered for high-frequency scalpers who demand precision in volatile markets.
This tool combines a dual EMA crossover (3 & 6) with the Commodity Channel Index (CCI) to deliver clear BUY and SELL signals when momentum and trend align.
🔹 BUY Signal: EMA3 crosses above EMA6 and CCI > 0
🔹 SELL Signal: EMA3 crosses below EMA6 and CCI < 0
Key features:
Ultra-fast signal generation
Clean chart visuals
Ideal for 1min–5min scalping setups
Designed for crypto, forex, and indices
Whether you're looking for quick entries or confirmation within a larger strategy, Ultra Scalp v6 delivers fast decision-making power to your chart.
TASC 2025.05 Trading The Channel█ OVERVIEW
This script implements channel-based trading strategies based on the concepts explained by Perry J. Kaufman in the article "A Test Of Three Approaches: Trading The Channel" from the May 2025 edition of TASC's Traders' Tips . The script explores three distinct trading methods for equities and futures using information from a linear regression channel. Each rule set corresponds to different market behaviors, offering flexibility for trend-following, breakout, and mean-reversion trading styles.
█ CONCEPTS
Linear regression
Linear regression is a model that estimates the relationship between a dependent variable and one or more independent variables by fitting a straight line to the observed data. In the context of financial time series, traders often use linear regression to estimate trends in price movements over time.
The slope of the linear regression line indicates the strength and direction of the price trend. For example, a larger positive slope indicates a stronger upward trend, and a larger negative slope indicates the opposite. Traders can look for shifts in the direction of a linear regression slope to identify potential trend trading signals, and they can analyze the magnitude of the slope to support trading decisions.
One caveat to linear regression is that most financial time series data does not follow a straight line, meaning a regression line cannot perfectly describe the relationships between values. Prices typically fluctuate around a regression line to some degree. As such, analysts often project ranges above and below regression lines, creating channels to model the expected extent of the data's variability. This strategy constructs a channel based on the method used in Kaufman's article. It measures the maximum distances from points on the linear regression line to historical price values, then adds those distances and the current slope to the regression points.
Depending on the trading style, traders might look for prices to move outside an established channel for breakout signals, or they might look for price action to reach extremes within the channel for potential mean reversion opportunities.
█ STRATEGY CALCULATIONS
Primary trade rules
This strategy implements three distinct sets of rules for trend, breakout, and mean-reversion trades based on the methods Kaufman describes in his article:
Trade the trend (Rule 1) : Open new positions when the sign of the slope changes, indicating a potential trend reversal. Close short trades and enter a long trade when the slope changes from negative to positive, and do the opposite when the slope changes from positive to negative.
Trade channel breakouts (Rule 2) : Open new positions when prices cross outside the linear regression channel for the current sample. Close short trades and enter a long trade when the price moves above the channel, and do the opposite when the price moves below the channel.
Trade within the channel (Rule 3) : Open new positions based on price values within the channel's range. Close short trades and enter a long trade when the price is near the channel's low, within a specified percentage of the channel's range, and do the opposite when the price is near the channel's high. With this rule, users can also filter the trades based on the channel's slope. When the filter is active, long positions are allowed only when the slope is positive, and short positions are allowed only when it is negative.
Position sizing
Kaufman's strategy uses specific trade sizes for equities and futures markets:
For an equities symbol, the number of shares traded is $10,000 divided by the current price.
For a futures symbol, the number of contracts traded is based on a volatility-adjusted formula that divides $25,000 by the product of the 20-bar average true range and the instrument's point value.
By default, this script automatically uses these sizes for its trade simulation on equities and futures symbols and does not simulate trading on other symbols. However, users can control position sizes from the "Settings/Properties" tab and enable trade simulation on other symbol types by selecting the "Manual" option in the script's "Position sizing" input.
Stop-loss
This strategy includes the option to place an accompanying stop-loss order for each trade, which users can enable from the "SL %" input in the "Settings/Inputs" tab. When enabled, the strategy places a stop-loss order at a specified percentage distance from the closing price where the entry order occurs, allowing users to compare how the strategy performs with added loss protection.
█ USAGE
This strategy adapts its display logic for the three trading approaches based on the rule selected in the "Trade rule" input:
For all rules, the script plots the linear regression slope in a separate pane. The plot is color-coded to indicate whether the current slope is positive or negative.
When the selected rule is "Trade the trend", the script plots triangles in the separate pane to indicate when the slope's direction changes from positive to negative or vice versa. Additionally, it plots a color-coded SMA on the main chart pane, allowing visual comparison of the slope to directional changes in a moving average.
When the rule is "Trade channel breakouts" or "Trade within the channel", the script draws the current period's linear regression channel on the main chart pane, and it plots bands representing the history of the channel values from the specified start time onward.
When the rule is "Trade within the channel", the script plots overbought and oversold zones between the bands based on a user-specified percentage of the channel range to indicate the value ranges where new trades are allowed.
Users can customize the strategy's calculations with the following additional inputs in the "Settings/Inputs" tab:
Start date : Sets the date and time when the strategy begins simulating trades. The script marks the specified point on the chart with a gray vertical line. The plots for rules 2 and 3 display the bands and trading zones from this point onward.
Period : Specifies the number of bars in the linear regression channel calculation. The default is 40.
Linreg source : Specifies the source series from which to calculate the linear regression values. The default is "close".
Range source : Specifies whether the script uses the distances from the linear regression line to closing prices or high and low prices to determine the channel's upper and lower ranges for rules 2 and 3. The default is "close".
Zone % : The percentage of the channel's overall range to use for trading zones with rule 3. The default is 20, meaning the width of the upper and lower zones is 20% of the range.
SL% : If the checkbox is selected, the strategy adds a stop-loss to each trade at the specified percentage distance away from the closing price where the entry order occurs. The checkbox is deselected by default, and the default percentage value is 5.
Position sizing : Determines whether the strategy uses Kaufman's predefined trade sizes ("Auto") or allows user-defined sizes from the "Settings/Properties" tab ("Manual"). The default is "Auto".
Long trades only : If selected, the strategy does not allow short positions. It is deselected by default.
Trend filter : If selected, the strategy filters positions for rule 3 based on the linear regression slope, allowing long positions only when the slope is positive and short positions only when the slope is negative. It is deselected by default.
NOTE: Because of this strategy's trading rules, the simulated results for a specific symbol or channel configuration might have significantly fewer than 100 trades. For meaningful results, we recommend adjusting the start date and other parameters to achieve a reasonable number of closed trades for analysis.
Additionally, this strategy does not specify commission and slippage amounts by default, because these values can vary across market types. Therefore, we recommend setting realistic values for these properties in the "Cost simulation" section of the "Settings/Properties" tab.
cd_full_poi_CxOverview
This indicator tracks the price in 16 different time frames (optional) in order to answer the question of where the current price has reacted or will react.
It appears on the chart and in the report table when the price approaches or touches the fvg or mitigations (order block / supply-demand), the rules of which will be explained below.
In summary, it follows the fvg and mitigations in the higher timeframe than the lower timeframe.
Many traders see fvg or mitigates as an point of interest and see the high, low swept in those zones as a trading opportunity. Key levels, Session high/lows and Equal high and lows also point of interest.
If we summarise the description of the point of interest ;
1- Fair value gaps (FVG) (16 time frames)
2- Mitigation zones (16 time frames)
3- Previous week, day, H4, H1 high and low levels
4- Sessions zones (Asia, London and New York)
5- Equal high and low levels are in indicator display.
Details:
1- Fair Value Gaps : It is simply described as a price gap and consists of a series of 3 candles. The reaction of the price to the gap between the 1st and 3rd candle wicks is observed.
The indicator offers 3 options for marking. These are :
1-1- ‘Colours are unimportant’: candle colours are not considered for marking. Fvg formation is sufficient.(Classical)
1-2- ‘First candle opposite colour’ : when a price gap occurs, the first candle of a series of 3 candles must be opposite.
For bullish fvg : bearish - bullish - free
For Bearish fvg : bullish - bearish - free
1-3- ‘All same colour’ : all candles in a series of 3 candles must be the same direction.
For bullish fvg: bullish - bullish - bullish
For bearish fvg : bearish - bearish – bearish
Examples:
2- Mitigation zones: Opposite candles with a fvg in front of them or candles higher/lower than the previous and next candle and with the same colour as the fvg series are marked.
Examples :
3- Previous week, day, H4, H1 high and low levels
4- Sessions regions (Asia, London and New York)
5- Equal high and low levels:
Annotation: Many traders want to see a liquidity grab on the poi, then try to enter the trade with the appropriate method.
Among the indicators, there is also the indication of grabs/swepts that occur at swing points. It is also indicated when the area previously marked as equal high/low is violated (grab).
At the end, sample setups will be shown to give an idea about the use of the indicator.
Settings:
- The options to be displayed from the menu are selected by ticking.
- 1m, 2m, 3m, 5m, 5m, 10m, 15m, 30m, h1, h4, h4, h6, h8, h12, daily, weekly, monthly and quarterly, 16 time zones in total can be displayed.
- The ‘Collapse when the price touches mitigate’ tab controls whether to collapse the box as the price moves into the inner region of the mitigate. If not selected, the size of the mitigate does not change.
- ‘Approach limit =(ATR / n)’ tab controls how close the price is to the fvg or mitigate. Instant ATR(10) value is calculated by dividing by the entered ‘n’ value.
- All boxes and lines are automatically removed from the screen when the beyond is closed.
- Colour selections, table, text features are controlled from the menu.
- Sessions hours are set as standard hours, the user can select special time zones. Timezone is set to GMT-4.
- On the candle when the price touches fvg or mitigate, the timeframe information of the POI is shown in the report table together with the graphical representation.
The benefits and differences :
1- We can evaluate the factors we use for setup together.
2- We are aware of what awaits us in the high time frame in the following candles.
3- It offers the user the opportunity to be selective with different candle selection options in fvg selection.
4- Mitige areas are actually unmitige areas because they have a price gap in front of them. The market likes to retest these areas.
5- Equal high/low zones are the levels that the price creates to accumulate liquidity or fails to go beyond (especially during high volume hours). Failure or crossing of the level may give a reversal or continuation prediction.
Sample setup 1:
Sample setup 2:
Sample setup 3:
Cheerful trades…
Enjoy…
Money Flow Pulse💸 In markets where volatility is cheap and structure is noisy, what matters most isn’t just the move — it’s the effort behind it. Money Flow Pulse (MFP) offers a compact, color-coded readout of real-time conviction by scoring volume-weighted price action on a five-tier scale. It doesn’t try to predict reversals or validate trends. Instead, it reveals the quality of the move in progress: is it fading , driving , exhausting , or hollow ?
🎨 MFP draws from the traditional Money Flow Index (MFI), a volume-enhanced momentum oscillator, but transforms it into a modular “pressure readout” that fits seamlessly into any structural overlay. Rather than oscillating between extremes with little interpretive guidance, MFP discretizes the flow into clean, color-coded regimes ranging from strong inflow (+2) to strong outflow (–2). The result is a responsive diagnostic layer that complements, rather than competes with, tools like ATR and/or On-Balance Volume.
5️⃣ MFP uses a normalized MFI value smoothed over 13 periods and classified into a 5-tier readout of Volume-Driven Conviction :
🍆 Exhaustion Inflow — usually a top or blowoff; not strength, but overdrive (+2)
🥝 Active Inflow — supportive of trend continuation (+1)
🍋 Neutral — chop, coil, or fakeouts (0)
🍑 Selling Intent — weakening structure, possible fade setups (-1)
🍆 Exhaustion Outflow — often signals forced selling or accumulation traps (-2)
🎭 These tiers are not arbitrary. Each one is tuned to reflect real capital behavior across timeframes. For instance, while +1 may support continuation, +2 often precedes exhaustion — especially on the lower timeframes. Similarly, a –1 reading during a pullback suggests sell-side pressure is building, but a shift to –2 may mean capitulation is already underway. The difference between the two can define whether a move is tradable continuation or strategic exhaustion .
🌊 The MFI ROC (Rate of Change) feature can be toggled to become a volatility-aware pulse monitor beneath the derived MFI tier. Instead of scoring direction or structure, ROC reveals how fast conviction is changing — not just where it’s headed, but how hard it's accelerating or decaying. It measures the raw Δ between the current and previous MFI values, exposing bursts of energy, fading pressure, or transitional churn .
🎢 Visually, ROC appears as a low-opacity area fill, anchored to a shared lemon-yellow zero line. When the green swell rises, buying pressure is accelerating; when the red drops, flow is actively deteriorating. A subtle bump may signal early interest — while a steep wave hints at an emotional overreaction. The ROC value itself provides numeric insight alongside the raw MFI score. A reading of +3.50 implies strong upside momentum in the flow — often supporting trend ignition. A score of –6.00 suggests rapid deceleration or full exhaustion — often preceding reversals or failed breakouts.
・ MFI shows you where the flow is
・ ROC tells you how it’s behaving
😎 This blend reveals not just structure or intent — but also urgency . And in flow-based trading, urgency often precedes outcome.
🧩 Divergence isn’t delay — it’s disagreement . One of the most revealing features of MFP is how it exposes momentum dissonance — situations where price and flow part ways. These divergences often front-run pivots , traps , or velocity stalls . Unlike RSI-style divergence, which whispers of exhaustion, MFI divergence signals a breakdown in conviction. The structure may extend — but the effort isn’t there.
・ Price ▲ MFI ▼ → Effortless Markup : Often signals distribution or a grind into liquidity. Without rising MFI, the rally lacks true flow participation — a warning of fragility.
・ Price ▼ MFI ▲ → Absorption or Early Accumulation : Price breaks down, but money keeps flowing in — a hidden bid. Watch for MFI tier shifts or ROC bursts to confirm a reversal.
🏄♂️ These moments don’t require signal overlays or setup hunting. MFP narrates the imbalance. When price breaks structure but flow does not — or vice versa — you’re not seeing trend, you’re seeing disagreement, and that's where edge begins.
💤 MFP is especially effective on intraday charts where volume dislocations matter most. On the 1H or 15m chart, it helps distinguish between breakouts with conviction versus those lacking flow. On higher timeframes, its resolution softens — it becomes more of a drift indicator than a trigger device. That’s by design: MFP prioritizes pulse, not position. It’s not the fire, it’s the heat.
📎 Use MFP in confluence with structural overlays to validate price behavior. A ribbon expansion with rising MFP is real. A compression breakout without +1 flow is "fishy". Watch how MFP behaves near key zones like anchored VWAP, MAs or accumulation pivots. When MFP rises into a +2 and fails to sustain, the reversal isn’t just technical — it’s flow-based.
🪟 MFP doesn’t speak loudly, but it never whispers without reason. It’s the pulse check before action — the breath of the move before the breakout. While it stays visually minimal on the chart, the true power is in the often overlooked Data Window, where traders can read and interpret the score in real time. Once internalized, these values give structure-aware traders a framework for conviction, continuation, or caution.
🛜 MFP doesn’t chase momentum — it confirms conviction. And in markets defined by noise, that signal isn’t just helpful — it’s foundational.
ORB Strat with ATR calculated TargetsThis is a script That puts the ORB high and low from 10 15 30 or 60 minute TF and once broken to the upside or the downside will place targets calculated based on 4 10 minute candle ATRs.
The ORB H and L will only appear at 10 am EST
W%R Zone Scalper[BullByte] v1.0W%R Zone Scalper Strategy - The Definitive Deep Dive
1. Introduction: The Philosophy Behind the Strategy
This script, W%R Zone Scalper , is not just another Williams %R-based trading system—it is a refined, multi-filtered scalping engine designed to maximize edge in trending markets while minimizing false signals in choppy conditions . Unlike most basic %R strategies that blindly trade crossovers, this system introduces a sophisticated confluence of trend, volatility, and momentum filters , making it a high-probability scalper for intraday traders .
What Makes This Script Different?
✅ Originality: Most %R strategies rely solely on overbought/oversold levels, leading to whipsaws in ranging markets. This script intelligently combines:
- Trend confirmation (MA, Supertrend)
- Volatility filters (BB Width, Choppiness Index)
- Volume validation (to ensure real participation)
- ADX trend strength (to avoid weak, fake trends)
✅ Smart Trade Execution:
- Not just %R crossovers —entries are only taken when multiple filters align, reducing noise.
- Optional ATR-based SL/TP for disciplined risk management.
- Dashboard integration for real-time trade monitoring.
✅ Adaptability:
- Works on crypto, forex, and stocks (optimized for high-liquidity assets like BTC).
- Scalable from 1-minute scalping to 1-hour swing trades (adjust filters accordingly).
2. Core Components: A Surgical Breakdown
A. Williams %R - The Trigger Mechanism
- Default Settings:
- Length = 14 (optimal balance between sensitivity and reliability).
- Long Entry : Cross above -80 (oversold bounce with momentum).
- Short Entry : Cross below -20 (overbought rejection).
Why This Matters:
- Unlike RSI or Stochastic, %R is more aggressive in detecting reversals, making it ideal for scalping fast moves.
- However, raw %R signals are noisy—hence the need for additional filters.
B. The Moving Average (MA) - Trend Filter
- Purpose: Ensures trades are only taken in the direction of the broader trend.
- Types Available:
- SMA (Simple MA) – Smooth but laggy.
- EMA (Exponential MA) – Faster, default choice.
- WMA (Weighted MA) – More responsive to recent prices.
- HMA (Hull MA) – Minimal lag, excellent for scalping.
Entry Logic:
- Long : Price must be above MA (confirms uptrend).
- Short : Price must be below MA (confirms downtrend).
Why This Matters:
- Prevents counter-trend trades , which are high-risk in scalping.
- Works as a dynamic support/resistance .
C. Advanced Filters - The Edge Enhancers
1. Choppiness Index (CI) - Avoiding Sideways Markets
- Default:
- Length = 12
- Threshold = 38.2 (below = trending, above = choppy).
Why This Matters:
- Eliminates false signals in ranging markets (where %R crossovers fail most).
- Inspired by market cycle theory—only trades when volatility is directional.
2. ADX (Average Directional Index) - Trend Strength
- Default:
- Length = 14
- Threshold = 25 (only trade if ADX > 25 = strong trend).
Why This Matters:
- Many traders ignore ADX and get fake breakouts—this ensures trades happen only in high-momentum conditions.
3. Volume Filter - Confirming Real Moves
- Logic: Volume must be above its 50-period MA.
- Why This Matters:
- Low-volume breakouts often fail—this ensures institutional participation.
4. Bollinger Band Width (BBW) - Volatility Check
- Logic: BBW must be above its moving average (expanding volatility = good for scalping).
Why This Matters:
- Avoids low-volatility traps where price moves are insignificant.
5. Supertrend - Dynamic Trend Confirmation
- Logic:
- Longs : Price must be above Supertrend line.
- Shorts : Price must be below Supertrend line.
Why This Matters:
- Acts as a secondary trend filter , reducing whipsaws.
---
3. Risk Management - Protecting Capital
A. Position Sizing (Flexible & Adaptive)
- Default: 30% of equity per trade(aggressive but adjustable).
- Initial Capital: $1,000(example—modify based on your account size).
B. Stop Loss & Take Profit (ATR-Based)
- SL = 1.5x ATR (protects against sudden reversals).
- TP = 2x ATR (locks in profits before pullbacks).
Why ATR?
- Dynamic adjustment —wider in volatile markets, tighter in calm ones.
C. Manual Adjustments Required
- Commission: Default 0.1% (adjust per your broker).
- Leverage: Not hardcoded —apply based on your risk tolerance.
4. Optimal Time Frame & Asset Selection
- Best for: 5M - 15M charts(scalping).
- Also works on: 1H-4H(swing trades with adjusted filters).
- Best Assets:
- High-liquidity cryptos (BTC, ETH, SOL)
- Forex majors (EUR/USD, GBP/USD)
- High-beta stocks (TSLA, NVDA)
5. The Dashboard - Real-Time Trade Intelligence
- PnL Tracking (profit/loss in $ and %).
- Position Status (Long/Short/Flat).
- Filter Status (which ones are active).
- Key Indicators (%R, MA, Volume).
Why This Matters:
- No guesswork—all critical info in one place.
6. Strong Disclaimer
⚠️ This is not financial advice. Trading carries risk of loss.
- Backtest thoroughly before live trading.
- Start with small capital to validate performance.
- Modify SL/TP, leverage, and position sizing based on your risk profile.
- The developer is not liable for any losses incurred.
7. Why This Strategy Stands Out
Most %R strategies fail in real markets because they ignore:
❌ Trend context (trading reversals blindly).
❌ Volatility cycles (getting chopped up in sideways action).
❌ Volume confirmation (falling for fake breakouts).
This script solves those problems by:
✅ Only trading when multiple high-probability factors align.
✅ Using adaptive risk management (ATR-based SL/TP).
✅ Providing a real-time dashboard for decision-making.
8.Important Note on Backtesting & Customization
The performance results displayed with this script are based on:
- Asset BTC/USD
- Timeframe : 5-minute chart
- Key Filters Enabled :
- Moving Average (Trend Confirmation)
- Choppiness Index (Sideways Market Filter)
- Volume (Participation Validation)
Your Trading Approach May Vary
This configuration represents just one possible way to deploy the strategy. You can:
- Test alternative settings (adjust lengths, thresholds, or filters)
- Apply to different assets (cryptos, forex pairs, stocks)
- Experiment with timeframes (1m for ultra-scalping, 15m/1H for swing trades)
Critical Reminder
Always conduct your own forward testing before live trading. Market conditions change, and past performance never guarantees future results.
All the best!
Weighted Ichimoku StrategyLSE:HSBA
The Ichimoku Kinko Hyo indicator is a comprehensive tool that combines multiple signals to identify market trends and potential buying/selling opportunities. My weighted variant of this strategy attempts to assign specific weights to each signal, allowing for a more nuanced and customizable approach to trend identification. The intent is to try and make a more informed trading decision based on the cumulative strength of various signals.
I've tried not to make it a mishmash of this and that + MACD + RSI and on and on; most people have their preferred indicator that focuses on just that that they can use in conjunction.
The signals used can be grouped into two groups the 'Core Ichimoku Signals' & the 'Additional Signals' (at the end you will find the signals and their assigned weights followed by the thresholds where they align).
The Core Ichimoku Signals are the primary signals used in Ichimoku analysis, including Kumo Breakout, Chikou Cross, Kijun Cross, Tenkan Cross, and Kumo Twist.
While the Additional Signals provide further insights and confirmations, such as Kijun Confirmation, Tenkan-Kijun Above Cloud, Chikou Above Cloud, Price-Kijun Cross, Chikou Span Signal, and Price Positioning.
Entries are triggered when the cumulative weight of bullish signals exceeds a specified buy threshold, indicating a strong uptrend or potential trend reversal.
Exits are initiated when the cumulative weight of bearish signals surpasses a specified sell threshold, or when additional conditions such as consolidation patterns or ATR-based targets are met.
There are various exit types that you can choose between, which can be used separately or in conjunction with one another. As an example you might want to exit on a different condition during consolidation periods than during other periods or just use ATR with some other backstop.
They are listed in evaluation order i.e. ATR trumps all, Consolidation exit trumps the regular Kumo sell and so on:
**ATR Sell**: Exits trades based on ATR-based profit targets and stop-losses.
**Consolidation Exit**: Exits trades during consolidation periods to reduce drawdown.
**Sell Below Kumo**: Exits trades when the price is below the Kumo, indicating a potential downtrend.
**Sell Threshold**: Exits trades when the cumulative weight of bearish signals surpasses a specified sell threshold.
There are various 'filters' which are really behavior modifiers:
**Kumo Breakout Filter**: Requires price to close above the Kumo for buy signals (essentially a entry delay).
**Whipsaw Filter**: Ensures trend strength over specified days to reduce false signals.
**Buy Cooldown**: Prevents new entries until half the Kijun period passes after an exit (prevents flapping).
**Chikou Filter**: Delays exits unless the previous close is below the Chikou Span.
**Consolidation Trend Filter**: Prevents consolidation exits if the trend is bullish (rare, but happens).
Then there are some debugging options. Ichimoku periods have some presets (personally I like 8/22/44/22) but are freely configurable, preset to the traditional values for purists.
The list of signals and most thresholds follow, play around with them. Thats all.
Cheers,
**Core Ichimoku Signals**
**Kumo Breakout**
- 30 (Bullish) / -30 (Bearish)
- Indicates a strong trend when the price breaks above (bullish) or below (bearish) the Kumo (cloud). This signal suggests a significant shift in market sentiment.
**Chikou Cross**
- 20 (Bullish) / -20 (Bearish)
- Shows the relationship between the Chikou Span (lagging span) and the current price. A bullish signal occurs when the Chikou Span is above the price, indicating a potential uptrend. Conversely, a bearish signal occurs when the Chikou Span is below the price, suggesting a downtrend.
**Kijun Cross**
- 15 (Bullish) / -15 (Bearish)
- Signals trend changes when the Tenkan-sen (conversion line) crosses above (bullish) or below (bearish) the Kijun-sen (base line). This crossover is often used to identify potential trend reversals.
**Tenkan Cross**
- 10 (Bullish) / -10 (Bearish)
- Indicates short-term trend changes when the price crosses above (bullish) or below (bearish) the Tenkan-sen. This signal helps identify minor trend shifts within the broader trend.
**Kumo Twist**
- 5 (Bullish) / -5 (Bearish)
- Shows changes in the Kumo's direction, indicating potential trend shifts. A bullish Kumo Twist occurs when Senkou Span A crosses above Senkou Span B, and a bearish twist occurs when Senkou Span A crosses below Senkou Span B.
**Additional Signals**
**Kijun Confirmation**
- 8 (Bullish) / -8 (Bearish)
- Confirms the trend based on the price's position relative to the Kijun-sen. A bullish signal occurs when the price is above the Kijun-sen, and a bearish signal occurs when the price is below it.
**Tenkan-Kijun Above Cloud**
- 5 (Bullish) / -5 (Bearish)
- Indicates a strong bullish trend when both the Tenkan-sen and Kijun-sen are above the Kumo. Conversely, a bearish signal occurs when both lines are below the Kumo.
**Chikou Above Cloud**
- 5 (Bullish) / -5 (Bearish)
- Shows the Chikou Span's position relative to the Kumo, indicating trend strength. A bullish signal occurs when the Chikou Span is above the Kumo, and a bearish signal occurs when it is below.
**Price-Kijun Cross**
- 2 (Bullish) / -2 (Bearish)
- Signals short-term trend changes when the price crosses above (bullish) or below (bearish) the Kijun-sen. This signal is similar to the Kijun Cross but focuses on the price's direct interaction with the Kijun-sen.
**Chikou Span Signal**
- 10 (Bullish) / -10 (Bearish)
- Indicates the trend based on the Chikou Span's position relative to past price highs and lows. A bullish signal occurs when the Chikou Span is above the highest high of the past period, and a bearish signal occurs when it is below the lowest low.
**Price Positioning**
- 10 (Bullish) / -10 (Bearish)
- Shows indecision when the price is between the Tenkan-sen and Kijun-sen, indicating a potential consolidation phase. A bullish signal occurs when the price is above both lines, and a bearish signal occurs when the price is below both lines.
**Confidence Level**: Highly Sensitive
- **Buy Threshold**: 50
- **Sell Threshold**: -50
- **Notes / Significance**: ~2–3 signals, very early trend detection. High sensitivity, may capture noise and false signals.
**Confidence Level**: Entry-Level
- **Buy Threshold**: 58
- **Sell Threshold**: -58
- **Notes / Significance**: ~3–4 signals, often Chikou Cross or Kumo Breakout. Very sensitive, risks noise (e.g., false buys in choppy markets).
**Confidence Level**: Entry-Level
- **Buy Threshold**: 60
- **Sell Threshold**: -60
- **Notes / Significance**: ~3–4 signals, Kumo Breakout or Chikou Cross anchors. Entry point for early trends.
**Confidence Level**: Moderate
- **Buy Threshold**: 65
- **Sell Threshold**: -65
- **Notes / Significance**: ~4–5 signals, balances sensitivity and reliability. Suitable for moderate risk tolerance.
**Confidence Level**: Conservative
- **Buy Threshold**: 70
- **Sell Threshold**: -70
- **Notes / Significance**: ~4–5 signals, emphasizes stronger confirmations. Reduces false signals but may miss some opportunities.
**Confidence Level**: Very Conservative
- **Buy Threshold**: 75
- **Sell Threshold**: -75
- **Notes / Significance**: ~5–6 signals, prioritizes high confidence. Minimizes risk but may enter trades late.
**Confidence Level**: High Confidence
- **Buy Threshold**: 80
- **Sell Threshold**: -80
- **Notes / Significance**: ~6–7 signals, very strong confirmations needed. Suitable for cautious traders.
**Confidence Level**: Very High Confidence
- **Buy Threshold**: 85
- **Sell Threshold**: -85
- **Notes / Significance**: ~7–8 signals, extremely high confidence required. Minimizes false signals significantly.
**Confidence Level**: Maximum Confidence
- **Buy Threshold**: 90
- **Sell Threshold**: -90
- **Notes / Significance**: ~8–9 signals, maximum confidence level. Ensures trades are highly reliable but may result in fewer trades.
**Confidence Level**: Ultra Conservative
- **Buy Threshold**: 100
- **Sell Threshold**: -100
- **Notes / Significance**: ~9–10 signals, ultra-high confidence. Trades are extremely reliable but opportunities are rare.
**Confidence Level**: Extreme Confidence
- **Buy Threshold**: 110
- **Sell Threshold**: -110
- **Notes / Significance**: All signals align, extreme confidence. Trades are almost certain but very few opportunities.
FVG + Swings + ConfigurableOverview
This Pine Script v5 indicator highlights Fair Value Gaps (FVGs), plots swing‑high and swing‑low pivots, and marks single breakouts above the last swing‑high or below the last swing‑low by recoloring the breakout candle. Every aspect—gap size, count limits, colors, and feature toggles—is exposed as an input so you can tailor it to your own workflow.
Key Features
Fair Value Gaps
Detects bullish gaps when the high of bar i-2 is below the low of the current bar.
Detects bearish gaps when the low of bar i-2 is above the high of the current bar.
Draws a semi‑transparent rectangle spanning from bar i-2 to bar i + extension.
Automatically deletes oldest boxes when exceeding the user’s “Max FVG Boxes” limit.
Swing‑High / Swing‑Low Pivots
Identifies a swing‑high when the middle candle of a three‑bar sequence has the highest high.
Identifies a swing‑low when the middle candle has the lowest low.
Marks each pivot with a tiny dot above (high) or below (low) the bar.
Single Breakouts
Tracks the most recent swing‑high and swing‑low levels.
On the first close above the last swing‑high (or below the last swing‑low), recolors that single candle.
Prevents repeated coloring until a new swing pivot forms.
Full Customization
Show/Hide toggles for FVGs, swing pivots, breakouts.
Numeric inputs for FVG extension length and maximum retained boxes.
Color pickers for bullish/bearish gaps, swing pivots, and breakout candles.
bojunGGAE Ribbonssma 20 smma7
sma99 smma50
리본끼리 데크나거나 골크나거나
지지받으면 개상승
뚫리면 개떡락
아주명확함
그냥 sma ema보다 훨신나음 보기에
sma 20 smma7
sma99 smma50
Ribbons are decked or tall
If you get support, you will be rehabilitated.
If it is pierced, it will be a slap in the face
Very clear
It's much better than just SMA EMA to look at
Smart Money Concepts [tez]This script is a comprehensive trading indicator called "Smart Money Concepts " designed to identify and visualize various market structure concepts used in smart money trading strategies. Here's a breakdown of its key components:
Key Features:
Market Structure Analysis:
Identifies Break of Structure (BOS) and Change of Character (CHoCH)
Tracks swing highs/lows and internal market structure
Detects bullish/bearish trends in both swing and internal structures
Order Block Detection:
Shows internal and swing order blocks
Allows customization of order block display count and colors
Includes mitigation rules for order blocks
Equal Highs/Lows:
Detects equal highs (EQH) and equal lows (EQL)
Customizable confirmation period and sensitivity threshold
Fair Value Gaps (FVG):
Identifies bullish and bearish fair value gaps
Customizable timeframe and extension settings
Multi-Timeframe Levels:
Displays daily, weekly, and monthly levels
Customizable line styles and colors
Premium/Discount Zones:
Shows equilibrium zones between premium and discount areas
Visualizes strong support/resistance areas
Logical Inputs Section:
ChoCh (Change of Character) detection
BoS (Break of Structure) and liquidity detection
Inducement detection with different types (Total/Sweeps)
Technical Implementation:
User-Defined Types (UDTs):
Complex data structures for alerts, extremes, FVGs, trends, etc.
Organized storage for order blocks, pivots, and other market elements
Custom Drawing Functions:
Functions for drawing structures, labels, lines, and boxes
Dynamic updating of visual elements based on market conditions
Alert Conditions:
Multiple alert conditions for different market events
Includes alerts for structure breaks, order block breakouts, and FVGs
Customizable Display:
Options for colored or monochrome display
Adjustable sizes for labels and structures
Choice between showing historical or only present structures
Volatility Filtering:
Uses ATR or cumulative mean range to filter volatile order blocks
Customizable mitigation sources (close or high/low)
Usage:
The indicator provides a comprehensive view of market structure, helping traders identify:
Key support/resistance levels
Trend changes (CHoCH)
Structural breaks (BOS)
Order blocks and liquidity areas
Fair value gaps
Premium/discount zones
It's particularly useful for traders following institutional/Smart Money concepts, as it visualizes many of the patterns and structures these traders look for.
M A COverview
Indicator Declaration: The script starts by defining an indicator named “M A C” that overlays on the main price chart.
Plotting Close Price: It plots the closing prices of the asset using the plot(close) function.
Inputs
Moving Average Length: Users can set the length of the moving average with a default value of 21.
Exponential vs. Simple MA: A toggle option allows the user to choose between an Exponential Moving Average (EMA) and a Simple Moving Average (SMA).
Bollinger Bands: Users can choose to display Bollinger Bands by toggling the relevant input.
Corridor Visualization: There is an option to visualize a corridor defined by two moving averages of the high and low prices.
Fill Color: Users can choose to fill the corridor with the color of the moving average.
Calculations
Moving Averages: The script calculates the selected moving average (either EMA or SMA) for closing prices, high prices, and low prices.
Bollinger Bands: If enabled, it calculates the upper and lower bands based on the moving average and the standard deviation, adjusting the bands according to a user-defined multiplier.
Plotting
MA Color Logic: The color of the moving average line changes based on the price’s relationship to the moving averages of the high and low prices—green when the close is above the high MA, red when below the low MA, and blue otherwise.
Bollinger Bands Visualization: If enabled, the upper and lower Bollinger Bands are plotted, and a shaded area between them is filled with a light blue color.
Corridor Plotting: If the corridor option is chosen, the script plots the moving averages of the high and low prices and can fill the space between them with the selected MA color.
Summary
This script is a versatile tool for traders, allowing them to visualize the price action alongside dynamic moving averages and Bollinger Bands. The customizable features provide flexibility for different trading strategies, helping traders identify potential buy and sell based on the behavior of the price relative to the moving averages and bands.
5 custom moving averagesDescription (English)
“5 custom moving averages” is a versatile TradingView indicator that plots five independent moving averages on your chart. For each line (MA1–MA5), you can choose from SMA, EMA, WMA, or VWMA and set its own period and data source. Default settings use 10, 21, 50, 200, and 325 bars with semi‑transparent pink, green, red, black, and light blue colors. Simply apply the script to your chart and customize each MA to fit your trading strategy.
説明（日本語）
「5 custom moving averages」は、チャート上に独立した5本の移動平均線を表示できるTradingView用インジケーターです。MA1～MA5それぞれで、SMA・EMA・WMA・VWMA のいずれかを選択でき、期間やデータソースも個別に設定可能です。デフォルトでは期間を 10、21、50、200、325 に、色を半透明ピンク、緑、赤、黒、薄い青に設定しています。チャートへ適用後、お好みに合わせて各線を調整してお使いください。
Footprint Optimizer [Auto Settings]This script is a Footprint Confluence Signals tool designed for intraday scalping and volume-based strategy confirmation. It analyzes delta, bid/ask ratio, and volume clusters to provide BUY/SELL zones.
🧠 Features:
- Auto-adjusts thresholds based on session (London/US) and timeframe.
- Compatible with optimizer script for dynamic settings.
- Optional compact mode and debug visuals.
- BUY/SELL zones displayed as colored boxes or lines.
- Includes volume filter and cluster distance logic.
Ideal for traders using M1 and M15 charts on Micro Nasdaq (MNQ1!).
Developed by @phpLps5896.
Grok CCI with DMF and 20 DMA FilterCCI Indicator that generates Buy and Sell signals, filtered with Dynamic money flow and a 14 Day moving average.
Shout out to RezzaHmt www.tradingview.com
for his Dynamic money flow Indicator.
This is still a work in progress.
Add it twice to your chart: One the main chart ( Uncheck all check boxes except the DMA and the Buy and Sell under style.)
One below the chart (Uncheck the Buy and Sell boxes and the Blue CCI box)
HMA Breakdown [NLR]Hull Moving Average (HMA) is a great trend-following tool — it's smooth, fast, and more responsive than traditional MAs like EMA or SMA. But the problem?
Sometimes it gives signals that look sharp but are misleading — especially in noisy markets or when the price is chopping around.
This script breaks down the inner mechanics of the HMA to give you more context:
Are the inputs to HMA actually diverging?
Is there momentum behind the move?
Is this trend about to reverse or just a pullback?
By plotting the components of HMA — and layering signal bands, color logic, and optional trend overlays — it gives you a visual breakdown of what's really going on under the hood.
What this indicator shows
HMA Trend (Main Line)
The Hull Moving Average (HMA) is plotted in bold, colored red or green based on internal conditions (not just price slope).
WMA Components (Fast & Slow)
Shows the two WMAs used inside the HMA calculation:
WMA Half (faster) — reacts quickly to price
WMA Full (slower) — smoother, less reactive
Their difference and crossover gives you clues on whether momentum is building or fading.
Signal & Band Structure
A calculated upper band and lower band are used to track when HMA is leading or lagging momentum.
When the HMA is below the band, trend may be weakening - this helps you filter false signals.
TMA Candle (Optional Visual)
A synthetic candle shows whether the smoothed average is rising or falling compared to a few candles back.
This is a simple visual cue to spot inflection points in the trend.
EMA Trend Overlay (Optional)
A pair of short-term EMAs built on a smoothed source helps you catch micro-trends or align your entries with the bigger trend.
Can act as an early heads-up or a trend confirmation layer.
What problem it solves
Noisy Signals: Helps filter out weak or fake trend signals often seen in HMA-only systems.
Visual Breakdown: Lets you see how each component of the HMA is behaving — so you’re not flying blind.
Momentum Confirmation: Adds layered confirmation using fast-vs-slow WMA cross, signal bands, and mini trend overlays.
Best Used For:
Trend-following traders who use HMA or WMA strategies
Filtering entries/exits in momentum-based systems
Visually confirming when a trend is real vs fake
Early Uptrend with Institutional BuyThis script will help to identify early uptrend based on below logic.
Criteria Covered:
Moving Averages: Price > 20-day SMA, 50-day SMA, 200-day SMA; 50-day SMA > 200-day SMA.
Momentum: RSI 45–70.
Price Performance: Price ≥ 15% above 52-week low, within 30% of 52-week high.
Volume: Volume > 500,000.
Market Cap: > ₹5,000 Cr.
Not Covered: 200-day SMA uptrend, volume surge, green candle, 5-day volume trend, ADX, MACD, EMA (replaced with SMA).
Pelosi Kenobi LevelsThe Pelosi Kenobi Levels Indicator is a sophisticated PineScript v6 tool designed for TradingView to assist traders in identifying key price levels and market dynamics across multiple timeframes. It integrates several technical analysis components, including:
High, Low, and 50% Retracement Levels: Displays current and previous day, week, and month high, low, and 50% retracement levels, with customizable display options for standard, non-standard, and rolling calculations.
Liquidity Clusters: Visualizes bullish and bearish liquidity zones using three-tiered boxes (b1, b2, b3) based on volume and price proximity to significant retracement levels, helping traders spot areas of potential support or resistance.
Cumulative Delta Heatmap: Shows cumulative volume delta as a heatmap, indicating buying or selling pressure, with customizable reset periods (e.g., daily, weekly, custom).
Anchored VWAP (AVWAP): Plots a multi-timeframe anchored Volume Weighted Average Price, reset on new timeframe bars, to highlight price areas where significant trading volume has occurred.
YaGA Retracement Index: Provides a table scoring bullish and bearish strength based on the proximity of price to key levels, aiding in trend assessment.
Opening Range Fib50 (OR31FIB50 and ORCUSTOMFIB50): Plots high, low, and 50% retracement levels for 31-minute or custom-minute opening ranges, useful for intraday trading strategies.
Custom Levels: Allows traders to define their own price levels for additional reference points.
How It Helps Traders:
Market Structure Insight: Identifies critical support/resistance zones through highs, lows, and retracements, enabling traders to anticipate price reactions.
Liquidity Detection: Liquidity clusters highlight areas where large orders may be placed, useful for entry/exit timing or stop placement.
Trend and Momentum Analysis: The delta heatmap and YaGA index provide real-time insights into buying/selling pressure and trend strength, aiding in directional bias.
Intraday Precision: Opening range levels help scalpers and day traders target breakouts or reversals during high-volatility periods.
Customization: Extensive input options allow traders to tailor the indicator to their preferred timeframes, visual styles, and trading strategies, enhancing adaptability across markets (e.g., stocks, forex, crypto).
This indicator is particularly valuable for technical traders seeking a comprehensive, visually intuitive tool to combine price action, volume analysis, and market sentiment for informed decision-making.
Machine Learning Adaptive SmartTrend [Bitwardex]ML Adaptive SmartTrend is a sophisticated trend tracking indicator that complements the classic supertrend formula using machine learning and advanced technical analysis. Based on SuperTrend, the SmartTrend formula adapts to market dynamics, providing traders with accurate buy and sell signals. Using K-Means clustering, it intelligently adjusts to high, medium or low volatility, ensuring optimal performance in various market conditions. The combination of ATR, RSI and ADX with Gaussian smoothing allows you to filter out noise for a clear and reliable trend detection.
Key functions:
Brand new calculations: Based on the idea of the supertrend and the Bollinger channel, SmartTrend has been developed, which adds adaptive intelligence for excellent trend tracking.
Volatility Adaptation: Uses K-means clustering to dynamically adapt to market volatility, increasing signal accuracy.
Clear Buy/Sell signals: Visual markers (🐮/🐻) indicate trading opportunities based on trend intersection and price movement.
Noise reduction: Gaussian smoothing minimizes false signals, providing smooth and reliable trend lines.
Fully customizable: You can fine-tune the ATR length, smoothing period, and other parameters to suit your trading strategy
Real-time Alerts: Keep abreast of trend changes and volatility, which is ideal for active trading.
Universal Application: Ideal for trend trading, scalping or swing trading in stock, currency, cryptocurrency and other markets.
Designed for both beginners and experienced traders, ML Adaptive SmartTrend provides you with an intelligent, data-driven tool to identify trends and make confident trading decisions. Customize it according to your needs and use the power of this modern trend-setting approach to stay ahead in any market!
Aviad SMC Flow🔹 Aviad SMC Flow – Smart Structure & Zones Indicator
A professional SMC-based indicator for identifying:
✅ BoS – Break of Structure
✅ CHoCH – Change of Character
✅ MSS – Market Structure Shift
✅ Automated Support & Resistance Zones
✅ Liquidity Grab and Reversal Points
✅ Market Structure with historical display
Optimized for 1H and lower timeframes.
Designed for real Smart Money Concepts (SMC) trading.
Perfect for intraday traders, swing traders, and scalpers.
