Multi-Timeframe Stochastic RSI ArrowsMulti-Timeframe Stochastic RSI Arrows Indicator by The Venetian
Dear Moderators before you torch me alive theres nothing groundbreaking just very handy indicator for some users.
This indicator provides traders with a jet fighter-style heads-up display for market momentum across multiple timeframes. By displaying Stochastic RSI directional arrows for 12 different timeframes simultaneously, it offers a comprehensive view of market conditions without requiring multiple chart windows.
How It Works
The indicator calculates the Stochastic RSI for each of 12 common timeframes (1m to 3M) and represents directional movements with intuitive arrows:
- ▲ Green up arrow = Rising momentum
- ▼ Red down arrow = Falling momentum
- ◄► Yellow horizontal arrows = Flat/sideways momentum
- ► Gray right arrow = Just peaked (crossed above overbought)
- ◄ Gray left arrow = Just bottomed (crossed below oversold)
Each timeframe's status appears with its label (e.g., "1m ▲") in a clean, vertically-stacked display using ATR-based spacing to maintain consistent visual appearance regardless of price scale.
Key Features
- ATR-Based Spacing : Uses Average True Range to maintain consistent distances between labels even as chart scale changes
- Multi-Timeframe Analysis: Easily spot divergences and confluences across timeframes (1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, 1D, 1W, 1M, 3M)
- Sensitivity Control: Adjust flat detection sensitivity to filter out noise
- Customisable Appearance: Modify arrow size, vertical spacing, and show/hide timeframe labels
- Overbought/Oversold Detection: Highlights when momentum has peaked or bottomed at extreme levels
- Trading Applications
- Trend Alignment: Quickly identify when multiple timeframes align in the same direction
- Divergence Detection: Spot when shorter timeframes begin to shift against longer ones
- Entry/Exit Timing: Use crossovers of significant timeframes as potential signals
- Market Context: Maintain awareness of the bigger picture while trading shorter timeframes
This indicator doesn't break new ground technically but excels in presenting complex multi-timeframe information in a clean, actionable format — much like a pilot's heads-up display provides critical information at a glance. The ATR-based positioning ensures consistent visibility across different instruments and market conditions.
Great effort has been made for this script to adhere to TradingView's Pine Script house rules and focuses on trader usability rather than introducing novel technical concepts.
지표 및 전략
VijayW IndicatorCustom Indicator by Adv Vijay Wankhade. It's a combination of Moving averages (20,50,100,200), BB and Supertrend.
MACD Divergence IndicatorMACD Divergence Indicator
Displays deviations in the indicator according to the graph.
Pro Buy-Sell Indicator// ©
// Pro Buy-Sell Indicator
// 🔹 Strategy Overview:
// The Pro Buy-Sell Indicator helps identify high-probability trade setups by combining moving averages, candlestick patterns, support & resistance levels, and trend confirmation filters.
// 📌 When to BUY (Long Entry):
// ✅ A **bullish engulfing candlestick** appears.
// ✅ The **20-period moving average (MA) crosses above the 50-period MA**.
// ✅ The price is in an **uptrend** (above the 20 MA & near support levels).
// 📌 When to SELL (Short Entry):
// ✅ A **bearish engulfing candlestick** appears.
// ✅ The **20-period MA crosses below the 50-period MA**.
// ✅ The price is in a **downtrend** (below the 20 MA & near resistance levels).
// ⚠️ When to AVOID Trading:
// ❌ When the market is **ranging or choppy** (price moving sideways without clear direction).
// ❌ If there is **low volatility** (ATR is low), as breakouts may fail.
// ❌ During major news events that cause **sudden price spikes**.
// 🔧 Additional Features:
// - **Plots support & resistance zones** dynamically.
// - **Displays trade statistics (win rate, losses, total trades, accuracy)** in a table.
// - **Labels buy & sell signals** directly on the chart.
// 🚀 Use this indicator for better trade decisions! Optimize settings based on market conditions.
Bollinger Bands Breakout Strategy// ©
// Bollinger Bands Breakout Strategy
// 🔹 Strategy Overview:
// This strategy trades **breakouts** using Bollinger Bands. It enters long when the price breaks above the upper band and enters short when the price breaks below the lower band. The strategy includes a take profit and stop loss mechanism to manage risk.
// 📌 When to BUY (Long Entry):
// ✅ Price **closes above the upper Bollinger Band** (breakout signal).
// ✅ Confirms a strong bullish trend, suitable for trending markets.
// 📌 When to SELL (Short Entry):
// ✅ Price **closes below the lower Bollinger Band** (breakdown signal).
// ✅ Indicates a strong bearish trend, ideal for volatile conditions.
// ⚠️ When to AVOID Trading:
// ❌ Sideways or ranging markets where price frequently **touches bands but reverses**.
// ❌ When volatility is **too low**, leading to false breakouts.
// ❌ During major news events that cause **sudden price spikes**.
// 🔧 Additional Considerations:
// - Best used in **trending markets** to avoid false breakouts.
// - Can be improved by adding **volume filters or trend confirmation (e.g., moving averages, RSI)**.
// - Adjust **Bollinger Bands settings (length & multiplier)** based on asset volatility.
// 🚀 Optimize this strategy by testing different timeframes & market conditions before live trading!
EMA 24UP/24LOWThe script remains an overlay indicator that plots four EMAs:
24-period EMA of the high price (green).
24-period EMA of the low price (red).
100-period EMA of the close price (aqua).
200-period EMA of the close price (blue).
Fibonacci Retracement with SignalsThis script automatically detects recent swing highs and lows to plot Fibonacci retracement levels dynamically. The levels adjust in real-time, moving along with price action, ensuring traders have accurate support and resistance zones.
How to Use for Buying & Selling:
Buy Entry: Look for price to bounce from key Fibonacci support levels (0.618, 0.5, or 0.382). A bullish confirmation (e.g., candlestick patterns or trendline support) increases trade confidence.
Sell Entry: If the price retraces to key resistance levels (0.618, 0.5, or 0.382) and shows rejection (e.g., wicks, bearish engulfing), it may indicate a selling opportunity.
Breakout Trading: If the price breaks above the 0.0 Fibonacci level, it may indicate strong bullish momentum. Conversely, breaking below the 1.0 level signals bearish continuation.
Additional Features to Look For:
✔ Dynamic Fibonacci levels update in real-time with price action
✔ Works across all timeframes and assets (stocks, forex, crypto, indices)
✔ Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) highlighted
✔ Helps identify high-probability trade setups with confluence zones
This indicator is best used with price action, trendlines, volume, or other confirmation indicators for stronger trade setups. 🚀
Enhanced Demand & Supply Zones// How to Use the Enhanced Demand & Supply Zones Indicator
/*
## Understanding the Indicator
The Enhanced Demand & Supply Zones (EDSZ) Indicator identifies strong demand (support) zones and supply (resistance) zones on the chart. It also incorporates:
- Multi-timeframe trend confirmation to determine the market direction.
- RSI filtering to validate overbought and oversold conditions.
- Strong Buy & Sell Signals based on key confluences.
## When to Buy (Strong Buy Signal)
A strong buy opportunity is signaled when all the following conditions are met:
1. Price is above the last demand zone (support level).
2. RSI is below 35, indicating oversold conditions.
3. Bullish Trend Confirmation - Price is above SMA trends across multiple timeframes (1M, 5M, 15M, 1H, 4H, Daily).
4. Price crosses above the last demand zone (crossover).
### Ideal Buy Entry:
- Enter a long position after the BUY label appears.
- Set a stop-loss slightly below the demand zone.
- Take-profit at the next supply zone or based on risk-reward ratio (1:2 or 1:3).
## When to Sell (Strong Sell Signal)
A strong sell opportunity is signaled when all the following conditions are met:
1. Price is below the last supply zone (resistance level).
2. RSI is above 65, indicating overbought conditions.
3. Bearish Trend Confirmation - Price is below SMA trends across multiple timeframes.
4. Price crosses below the last supply zone (crossunder).
### Ideal Sell Entry:
- Enter a short position after the SELL label appears.
- Set a stop-loss slightly above the supply zone.
- Take-profit at the next demand zone or based on risk-reward ratio (1:2 or 1:3).
## When NOT to Trade
Avoid trading under the following conditions:
1. Choppy or sideways market - If price is bouncing between zones without strong trends.
2. Weak or conflicting trends - If price is hovering near SMAs without a clear direction.
3. RSI is in the middle range (35-65) - No strong overbought or oversold conditions.
4. No clear demand/supply crossovers - If price is stuck in a zone without a breakout.
## Additional Strategies to Improve Trading
1. Volume Confirmation - Check if a breakout above demand or below supply is accompanied by high volume.
2. Candlestick Patterns - Look for reversal patterns (e.g., pin bars, engulfing candles) near zones.
3. Fibonacci Retracement - Combine demand and supply zones with Fibonacci levels for confluence.
4. Market Structure - Confirm trend strength using break of structure (BoS) and change of character (ChoCH).
5. Risk Management - Always set stop-loss and manage risk per trade to avoid large drawdowns.
By following these rules and integrating additional confirmations, traders can maximize their probability of success using the EDSZ Indicator.
*/
Adaptive Bollinger BandsAdaptive Bollinger Bands
This indicator displays Bollinger Bands with parameters that dynamically adjust based on market volatility. Unlike standard Bollinger Bands with fixed parameters, this version adaptively modifies both the period and standard deviation multiplier in real-time based on measured market conditions.
Key Features
Dynamic adjustment of period and standard deviation based on normalized volatility
Color-coded visualization of current volatility regime (expanding, normal, contracting)
Integration with Keltner Channels for band refinement
Bandwidth analysis for volatility regime identification
Optional on-chart parameter labels showing current settings
Band cross alerts and visual markers
Volatility Visualization
The indicator uses color-coding to display different volatility regimes:
Red: Expanding volatility regime (higher measured volatility)
Blue: Normal volatility regime (average measurements)
Green: Contracting volatility regime (lower measured volatility)
Technical Information
The indicator calculates volatility by analyzing price returns over a configurable lookback period (default 50 bars). The standard deviation of returns is normalized against historical extremes to create an adaptive scaling factor.
Band adaptation occurs through two primary mechanisms:
1. Period adjustment: Higher volatility uses shorter periods (more responsive), while lower volatility uses longer periods (more stable)
2. Standard deviation multiplier adjustment: Higher volatility increases the multiplier (wider bands), while lower volatility decreases it (tighter bands)
The middle band uses a simple moving average with the adaptive period. Additional refinement occurs through Keltner Channel integration, which can tighten bands when contained within Keltner boundaries.
Volatility regimes are determined by analyzing Bollinger Bandwidth relative to its recent history, providing contextual information about the current market state.
Settings Customization
The indicator provides extensive customization options:
- Base parameters (period and standard deviation)
- Adaptive range limits (min/max period and standard deviation)
- Keltner Channel parameters for band refinement
- Bandwidth analysis settings
- Display options for visual elements
Limitations and Considerations
All technical indicators have inherent limitations and should not be used in isolation
Past performance does not guarantee future results
The indicator requires sufficient historical data for proper volatility normalization
Smaller timeframes may produce more noise in the adaptive calculations
Parameters may require adjustment for different markets and trading styles
Band crosses are not trading signals on their own and should be evaluated with other factors
This indicator is designed to provide objective information about market volatility conditions and potential support/resistance zones. Always combine with other analysis methods within a comprehensive trading approach.
Breakout Support & Resistance SwiftEdgeBreakout Support & Resistance
The Breakout is a technical analysis tool designed to identify breakout opportunities in the market by detecting price movements through support and resistance levels. It plots potential entry points, stop-loss (SL), and take-profit (TP) levels based on user-defined percentages, helping traders visualize breakout setups on their charts.
How It Works
Support and Resistance Detection: The indicator uses pivot points to identify support and resistance levels over a user-defined lookback period.
Breakout Identification: A breakout is confirmed when the price crosses above a resistance level (bullish) or below a support level (bearish) and remains there for a specified number of bars.
Entry, SL, and TP Levels: Upon a confirmed breakout, the indicator sets an entry point at the closing price and calculates SL, TP1, and TP2 levels based on user-defined percentages.
Directional Filtering: To avoid conflicting signals, the indicator filters breakouts based on the current trade direction. A new entry in the opposite direction is only set if the price moves a user-defined percentage away from the previous entry or if the previous trade hits its SL, TP1, or TP2.
Visuals: The indicator plots support and resistance lines, breakout labels, and entry/SL/TP levels on the chart. Users can choose to display only the latest entry or up to 5 recent entries.
Features
Customizable Settings: Adjust the lookback period for pivot points, breakout confirmation bars, SL/TP percentages, and more.
Directional Change Control: A direction change is indicated when the price moves significantly in the opposite direction, helping to manage trend reversals.
Multiple Entry Display: Option to show up to 5 recent entries for tracking multiple breakouts.
Alerts: Receive alerts when a breakout is confirmed, including entry, SL, TP1, and TP2 levels.
Settings
Pivot Lookback Length: Number of bars to look back for identifying support and resistance levels (default: 5).
Breakout Confirmation Bars: Number of bars the price must stay above/below the level to confirm a breakout (default: 2).
Take Profit 1 (%): First take-profit level as a percentage above/below the entry (default: 2.0%).
Take Profit 2 (%): Second take-profit level as a percentage above/below the entry (default: 4.0%).
Stop Loss (%): Stop-loss level as a percentage below/above the entry (default: 1.0%).
Show Multiple Entries: Toggle to display up to 5 recent entries or only the latest (default: false).
Direction Change Threshold (%): Percentage the price must move away from the entry to allow a direction change (default: 2.0%).
How to Use
Add the Breakout Scanner to your chart.
Adjust the settings to match your trading style (e.g., tweak the pivot lookback or SL/TP percentages).
Watch for breakout labels ("Breakout") on the chart, indicating a confirmed breakout.
Use the plotted entry, SL, TP1, and TP2 levels to plan your trades.
Enable alerts to be notified of new breakouts in real-time.
Notes
This indicator is designed to assist with identifying breakout opportunities and does not guarantee specific results. Always combine it with other analysis and risk management techniques.
The direction change feature helps filter breakouts in the opposite direction, but significant price movements may still trigger a new entry in the opposite direction.
For best results, test the indicator on a demo account to understand its behavior in your preferred market and timeframe.
Ralli Başlatan Bollinger BantlarıEN:
It displays the Bollinger Bands mentioned by Adem Ayan on X.
x.com/ademayan66/status/1901706968508637483
---
TR:
Adem Ayan'ın X'te bahsettiği bollinger bantlarının gösterimini yapar.
x.com/ademayan66/status/1901706968508637483
Combined Volume-Based Crossover and Reversal Zonesgautam G//To combine the **previous Pine Script** (Volume-Based Crossover with Volume Profile Zones) with the **new script** (Potential Buyers and Reversal Zones), we need to integrate the logic from both scripts. The combined script will:
1. **Plot the Volume-Based Crossover** with two dynamic lines and crossover signals.
2. **Add Volume Profile Zones** (Buy Zone and Sell Zone).
3. **Identify Potential Buyers and Reversal Zones** using support/resistance levels, price action patterns, and volume spikes.
Here’s the **combined Pine Script**:
---
### Combined Pine Script Code:
```pinescript
//@version=5
indicator("Combined Volume-Based Crossover and Reversal Zones", overlay=true)
// Input parameters for Volume-Based Crossover
volumeLength = 14 // Length for volume average calculation
emaLength1 = 10 // Length for the first EMA (volume support line)
emaLength2 = 5 // Length for the second EMA (faster volume growth line)
volumeThreshold = 1.5 // Volume multiplier for condition (e.g., 1.5x average volume)
// Input parameters for Volume Profile
vpLength = 30 // Length for Volume Profile calculation
vpBuyZoneColor = color.new(color.green, 90) // Buy Zone color (transparent green)
vpSellZoneColor = color.new(color.red, 90) // Sell Zone color (transparent red)
// Calculate average volume
avgVolume = ta.sma(volume, volumeLength)
// Volume condition: Current volume must be greater than the threshold
volumeCondition = volume > avgVolume * volumeThreshold
// Calculate the two dynamic lines using EMA
volumeSupportLine = ta.ema(close, emaLength1) // Volume support line (blue)
fasterVolumeLine = ta.ema(close, emaLength2) // Faster volume growth line (red)
// Plot the two dynamic lines (always visible)
plot(volumeSupportLine, color=color.blue, title="Volume Support Line", linewidth=2)
plot(fasterVolumeLine, color=color.red, title="Faster Volume Line", linewidth=2)
// Crossover Conditions (only if volume condition is met)
crossOver = volumeCondition and ta.crossover(fasterVolumeLine, volumeSupportLine) // Faster line crosses above support line
crossUnder = volumeCondition and ta.crossunder(fasterVolumeLine, volumeSupportLine) // Faster line crosses below support line
// Plot Crossover Signals
plotshape(series=crossOver, title="Crossover Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=crossUnder, title="Crossunder Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Alerts for Crossover Signals
alertcondition(crossOver, title="Crossover Alert", message="Faster Volume Line Crossed Above Volume Support Line with Volume Condition Met!")
alertcondition(crossUnder, title="Crossunder Alert", message="Faster Volume Line Crossed Below Volume Support Line with Volume Condition Met!")
// Volume Profile Calculation
var float vpHigh = na
var float vpLow = na
var float vpPOC = na // Point of Control (highest volume level)
if bar_index == last_bar_index - vpLength
vpHigh := ta.highest(high, vpLength)
vpLow := ta.lowest(low, vpLength)
vpPOC := ta.valuewhen(volume == ta.highest(volume, vpLength), close, 0)
// Plot Buy Zone and Sell Zone
buyZone = vpLow <= close and close <= vpPOC
sellZone = vpPOC <= close and close <= vpHigh
bgcolor(buyZone ? vpBuyZoneColor : na, title="Buy Zone", transp=90)
bgcolor(sellZone ? vpSellZoneColor : na, title="Sell Zone", transp=90)
// Display Volume Profile Levels
plot(vpHigh, color=color.red, title="VP High", linewidth=1, style=plot.style_circles)
plot(vpLow, color=color.green, title="VP Low", linewidth=1, style=plot.style_circles)
plot(vpPOC, color=color.orange, title="VP POC", linewidth=2, style=plot.style_circles)
// Support and Resistance Levels
supportLevel = ta.lowest(low, 20) // Recent low as support
resistanceLevel = ta.highest(high, 20) // Recent high as resistance
plot(supportLevel, color=color.blue, title="Support Level", linewidth=2)
plot(resistanceLevel, color=color.purple, title="Resistance Level", linewidth=2)
// Price Action Analysis (Bullish Engulfing Pattern)
bullishEngulfing = close < open and close > open and close > open and close > open
plotshape(bullishEngulfing, title="Bullish Engulfing", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
// Volume Spikes
volumeSpike = volume > ta.sma(volume, 20) * 2 // Volume is 2x the average
plotshape(volumeSpike and buyZone, title="Volume Spike in Buy Zone", location=location.belowbar, color=color.blue, style=shape.labelup, text="VOL SPIKE")
```
---
### Key Features of the Combined Script:
1. **Volume-Based Crossover**:
- Two dynamic lines (`volumeSupportLine` and `fasterVolumeLine`) are plotted using EMA.
- Crossover signals are generated when the volume condition is met.
2. **Volume Profile Zones**:
- **Buy Zone**: The area between the **Low** and **POC** in the Volume Profile.
- **Sell Zone**: The area between the **POC** and **High** in the Volume Profile.
- These zones are highlighted with transparent green and red backgrounds.
3. **Support and Resistance Levels**:
- Plots recent support and resistance levels based on the lowest low and highest high over the last 20 candles.
4. **Price Action Analysis**:
- Detects **Bullish Engulfing Patterns** and marks them with a green "BUY" label.
5. **Volume Spikes**:
- Identifies **volume spikes** (volume > 2x the average volume) in the **Buy Zone** and marks them with a blue "VOL SPIKE" label.
---
### How to Use:
1. Copy and paste the script into the Pine Script editor in TradingView.
2. Apply the script to your chart.
3. Look for the following signals:
- **Crossover Signals**: Generated when the **faster volume line** crosses the **volume support line** and the volume condition is met.
- **Buy Zones**: Highlighted in green. These are areas where buyers are likely to step in.
- **Volume Spikes in Buy Zones**: Indicate strong buying pressure and potential reversals.
- **Bullish Engulfing Patterns**: Indicate potential buying opportunities.
- **Support Levels**: Price may reverse when it reaches these levels.
---
### Example Interpretation:
- **Crossover Signals**: Indicate potential buy/sell opportunities based on volume and price action.
- **Buy Zone (Green Background)**: Price is in an area where buyers are likely to step in.
- **Volume Spike in Buy Zone**: A sudden increase in volume suggests strong buying pressure, increasing the likelihood of a reversal.
- **Bullish Engulfing Pattern**: A strong bullish signal indicating potential buying pressure.
- **Support Level**: Price may reverse when it reaches this level.
---
This combined script provides a comprehensive view of **Volume-Based Crossover**, **Volume Profile Zones**, and **Potential Buyers and Reversal Zones**. Let me know if you need further adjustments!
HAI GIA LAM //@version=5
indicator(" HAI GIA LAM ", overlay=false)
// Hardcoded parameters
rsi_length = 14
ema_length = 9
wma_length = 45
// Calculate RSI14
rsi14 = ta.rsi(close, rsi_length)
// Calculate EMA9 of RSI14
ema9_rsi14 = ta.ema(rsi14, ema_length)
// Calculate WMA45 of RSI14
wma45_rsi14 = ta.wma(rsi14, wma_length)
// Plot RSI14, EMA9 of RSI14, and WMA45 of RSI14
rsi_color = rsi14 >= 80 ? color.red : (rsi14 <= 20 ? color.lime : color.white)
plot(rsi14, color=rsi_color, linewidth=2)
plot(ema9_rsi14, color=color.rgb(0, 255, 0, 25), linewidth=2)
plot(wma45_rsi14, color=color.rgb(228, 18, 18), linewidth=2)
// Plot overbought and oversold lines
hline(80, "Overbought", color=color.rgb(187, 27, 35), linestyle=hline.style_dotted)
hline(68, "Overbought", color=color.rgb(143, 18, 18), linestyle=hline.style_dotted)
hline(20, "Oversold", color=color.rgb(13, 150, 115), linestyle=hline.style_dotted)
hline(32, "Oversold", color=color.rgb(18, 170, 145), linestyle=hline.style_dotted)
SWC QR Oscillator
SWC QR Oscillator
Overview
The SWC QR Oscillator is a powerful trading indicator designed to identify overbought/oversold conditions, trend strength, and potential reversals. By incorporating four different stochastic oscillators , divergence detection , background color alerts , and ABCD pattern recognition , this tool provides a comprehensive view of market momentum .
Key Features:
✅ Identify potential reversals through stochastic slopes.
✅ Confirm trends using multiple stochastic timeframes .
✅ Detect bullish & bearish divergences between price and momentum.
✅ Recognize ABCD pattern formations for trend continuation.
✅ Generate alerts for critical stochastic conditions.
---
🔹 How to Use
1️⃣ Understanding the Stochastic Oscillators
The indicator plots four stochastic oscillators :
Stochastic 1 (Red) – Short-term, reacts quickly to price.
Stochastic 2 (Aqua) – Medium-short, confirms early signals.
Stochastic 3 (Yellow) – Medium-long, filters noise.
Stochastic 4 (Green) – Long-term, used for trend strength analysis.
---
2️⃣ Identifying Overbought & Oversold Conditions
Above 80 = Overbought (Potential selling opportunity).
Below 20 = Oversold (Potential buying opportunity).
Above 90 / Below 10 = Extreme overbought/oversold zones.
📌 Reversal Signal: When multiple stochastics align in these regions and curve inward , a trend shift may be forming.
---
3️⃣ Background Coloring for Strong Signals
The background color changes based on the number of stochastics moving in the same direction:
🟥 Red Background – X number of stochastics are above 80 & sloping down.
🟩 Green Background – X number of stochastics are below 20 & sloping up.
🎯 Customization Tip: Adjust the "Min # of Stochastics for BG Coloring" setting to control signal sensitivity.
---
4️⃣ Divergence Detection
The indicator automatically identifies bullish & bearish divergences :
🔴 Bearish Divergence – Price makes a higher high, but stochastic makes a lower high (potential reversal down).
🟢 Bullish Divergence – Price makes a lower low, but stochastic makes a higher low (potential reversal up).
✅ Pro Tip: Enable "Match Divergence Lines to Stochastic Color" for better visual clarity.
---
5️⃣ ABCD Pattern Recognition
The script detects ABCD patterns based on Stochastic 4 remaining in extreme zones:
ABCD Long (Green X) – Stochastic 4 stuck above 90 , signaling trend continuation up .
ABCD Short (Red X) – Stochastic 4 stuck below 10 , indicating bearish continuation .
---
### 6️⃣ Super Signals (Strong Buy/Sell Conditions)
🚨 Super Signal Down (⬇️ Red Arrow) – All 4 stochastics above 80 & sloping down → Strong Bearish Reversal .
🚀 Super Signal Up (⬆️ Green Arrow) – All 4 stochastics below 20 & sloping up → Strong Bullish Reversal .
📌 High-Confidence Trade Setups: These signals work best when combined with price action analysis.
---
7️⃣ Alerts for Key Conditions
Set alerts for:
✅ Background color changes (Red/Green).
✅ ABCD pattern detection (Long/Short).
✅ Super Signal Up/Down confirmations .
✅ Divergence alerts for each stochastic .
🔔 Never miss a trade! Enable alerts in TradingView for real-time notifications.
---
📌 Final Tips for Traders
✔ Adjust "Min # of Stochastics for BG Coloring" to control signal sensitivity.
✔ Use ABCD patterns to confirm trend continuation before entering trades.
✔ Combine divergences, background signals, & super signals for stronger confirmations.
✔ Always monitor higher timeframe trends to align with dominant market direction.
💡 This indicator provides valuable confluence signals but works best when combined with price action strategies and risk management techniques .
CosmicCalcsTrading Toolkit containing +30 adaptive indicators and statistical models, Fractal aware calculations and dynamic risk tools.
FlexATRFlexATR: A Dynamic Multi-Timeframe Trading Strategy
Overview: FlexATR is a versatile trading strategy that dynamically adapts its key parameters based on the timeframe being used. It combines technical signals from exponential moving averages (EMAs) and the Relative Strength Index (RSI) with volatility-based risk management via the Average True Range (ATR). This approach helps filter out false signals while adjusting to varying market conditions — whether you’re trading on a daily chart, intraday charts (30m, 60m, or 5m), or even on higher timeframes like the 4-hour or weekly charts.
How It Works:
Multi-Timeframe Parameter Adaptation: FlexATR is designed to automatically adjust its indicator settings depending on the timeframe:
Daily and Weekly: On higher timeframes, the strategy uses longer periods for the fast and slow EMAs and standard periods for RSI and ATR to capture more meaningful trend confirmations while minimizing noise.
Intraday (e.g., 30m, 60m, 5m, 4h): The parameters are converted from “days” into the corresponding number of bars. For instance, on a 30-minute chart, a “day” might equal 48 bars. The preset values for a 30-minute chart have been slightly reduced (e.g., a fast EMA is set at 0.35 days instead of 0.4) to improve reactivity while maintaining robust filtering.
Signal Generation:
Entry Signals: The strategy enters long positions when the fast EMA crosses above the slow EMA and the RSI is above 50, and it enters short positions when the fast EMA crosses below the slow EMA with the RSI below 50. This dual confirmation helps ensure that signals are reliable.
Risk Management: The ATR is used to compute dynamic levels for stop loss and profit target:
Stop Loss: For a long position, the stop loss is placed at Price - (ATR × Stop Loss Multiplier). For a short position, it is at Price + (ATR × Stop Loss Multiplier).
Profit Target: The profit target is similarly set using the ATR multiplied by a designated profit multiplier.
Dynamic Trailing Stop: FlexATR further incorporates a dynamic trailing stop (if enabled) that adjusts according to the ATR. This trailing stop follows favorable price movements at a distance defined by a multiplier, locking in gains as the trend develops. The use of a trailing stop helps protect profits without requiring a fixed exit point.
Capital Allocation: Each trade is sized at 10% of the total equity. This percentage-based position sizing allows the strategy to scale with your account size. While the current setup assumes no leverage (a 1:1 exposure), the inherent design of the strategy means you can adjust the leverage externally if desired, with risk metrics scaling accordingly.
Visual Representation: For clarity and accessibility (especially for those with color vision deficiencies), FlexATR employs a color-blind friendly palette (the Okabe-Ito palette):
EMA Fast: Displayed in blue.
EMA Slow: Displayed in orange.
Stop Loss Levels: Rendered in vermilion.
Profit Target Levels: Shown in a distinct azzurro (light blue).
Benefits and Considerations:
Reliability: By requiring both EMA crossovers and an RSI confirmation, FlexATR filters out a significant amount of market noise, which reduces false signals at the expense of some delayed entries.
Adaptability: The automatic conversion of “day-based” parameters into bar counts for intraday charts means the strategy remains consistent across different timeframes.
Risk Management: Using the ATR for both fixed and trailing stops allows the strategy to adapt to changing market volatility, helping to protect your capital.
Flexibility: The strategy’s inputs are customizable via the input panel, allowing traders to fine-tune the parameters for different assets or market conditions.
Conclusion: FlexATR is designed as a balanced, adaptive strategy that emphasizes reliability and robust risk management across a variety of timeframes. While it may sometimes enter trades slightly later due to its filtering mechanism, its focus on confirming trends helps reduce the likelihood of false signals. This makes it particularly attractive for traders who prioritize a disciplined, multi-timeframe approach to capturing market trends.
Volume-Based Crossover with Volume Profile ZonesVolume-Based Crossover:
Two dynamic lines (volumeSupportLine and fasterVolumeLine) are plotted using EMA.
Crossover signals are generated when the volume condition is met.
Volume Profile Integration:
The Volume Profile calculates the High, Low, and Point of Control (POC) levels over a specified length (vpLength).
Buy Zone: The area between the Low and POC.
Sell Zone: The area between the POC and High.
Buy/Sell Zones:
The Buy Zone is highlighted with a transparent green background.
The Sell Zone is highlighted with a transparent red background.
Volume Profile Levels:
The High, Low, and POC levels are plotted on the chart for reference.
How It Works:
Volume-Based Crossover:
The two dynamic lines are plotted, and crossover signals are generated when the volume condition is met.
Volume Profile:
The Volume Profile calculates the High, Low, and POC levels over the specified length (vpLength).
The Buy Zone and Sell Zone are highlighted based on the relationship between the price and the POC.
Buy/Sell Zones:
Buy Zone: When the price is between the Low and POC, it indicates potential buying pressure.
Sell Zone: When the price is between the POC and High, it indicates potential selling pressure.
Example Interpretation:
Buy Zone (Green Background): Indicates an area of potential buying pressure.
Sell Zone (Red Background): Indicates an area of potential selling pressure.
Crossover Signals: Generated when the faster volume line crosses the volume support line and the volume condition is met.
How to Use:
Copy and paste the script into the Pine Script editor in TradingView.
Adjust the parameters (volumeLength, emaLength1, emaLength2, volumeThreshold, vpLength) to suit your trading strategy.
Apply the script to your chart.
Observe the Buy Zones, Sell Zones, and crossover signals.
This script combines Volume-Based Crossover with Volume Profile to provide a comprehensive view of buying and selling pressure. Let me know if you need further adjustments!
DZ MacD Histogram StrategyDZ_MacD_MTF Strategy: Advanced Multi-Timeframe MACD for Precise Trading Signals
Introducing the DZ_MacD_MTF Strategy, a powerful multi-timeframe trading system developed by Da_mENIZ, building upon the popular MACD indicator originally created by ChrisMoody. This innovative strategy brings a fresh approach by leveraging multiple timeframes for enhanced accuracy and clearer trading signals.
Key Features and Advantages:
Multi-Timeframe Analysis: Gain deeper market insights by analyzing MACD signals across different timeframes, ensuring you never trade against the broader trend.
Enhanced Visual Clarity: Utilize a vibrant 4-color histogram clearly depicting bullish and bearish momentum above and below the zero line, allowing quick and confident decision-making.
Customizable Display Options: Fully customizable MACD and Signal line visuals, including optional checkboxes to effortlessly adapt the indicator to your specific trading style.
Actionable Trading Signals: Clear visual cues through dots marking strategic buy (green) and sell (red) opportunities precisely when MACD crosses the Signal line, streamlining your trading execution.
Turnkey Trading Strategy: Seamlessly transitions into an automated trading strategy, facilitating buys and sells based on proven MACD cross signals, reducing guesswork and optimizing your market entries and exits.
Open-Source and Forever Free!
The DZ_MacD_MTF Strategy is proudly offered as an open-source and completely free tool, providing exceptional value for all traders. This transparent approach enables you not only to use it immediately but also to explore, modify, and personalize the strategy directly in the source code, empowering you to customize the tool precisely to your unique trading preferences.
Join the Community
Embrace the opportunity to become part of a vibrant trading community dedicated to continuous improvement and shared success. Discover, learn, and evolve your trading capabilities alongside fellow traders using the DZ_MacD_MTF Strategy.
Trade smarter. Customize freely. Enhance your trading potential today with the DZ_MacD_MTF Strategy!
Trend Detection
#### *Description:*
This *Trend Detection* indicator is designed to help traders identify and confirm trends in the market using a combination of moving averages, volume analysis, and MACD filters. It provides clear visual signals for uptrends and downtrends, along with customizable settings to adapt to different trading styles and timeframes. The indicator is suitable for both beginners and advanced traders who want to improve their trend-following strategies.
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#### *Key Features:*
1. *Trend Detection:*
- Uses *Moving Averages (MA)* to determine the overall trend direction.
- Supports multiple MA types: *SMA (Simple), **EMA (Exponential), **WMA (Weighted), and **HMA (Hull)*.
2. *Advanced Filters:*
- *MACD Filter:* Confirms trends using MACD crossovers.
- *Volume Filter:* Ensures trends are supported by above-average volume.
- *Multi-Timeframe Filter:* Validates trends using a higher timeframe (e.g., Daily or Weekly).
3. *Visual Signals:*
- Plots a *trend line* on the chart to indicate the current trend direction.
- Fills the background with *green* for uptrends and *red* for downtrends.
4. *Customizable Settings:*
- Adjust the *MA lengths, **MACD parameters, and **confirmation thresholds* to suit your trading strategy.
- Control the transparency of the background fill for better chart readability.
5. *Alerts:*
- Generates *buy/sell signals* when a trend is confirmed.
- Alerts can be set to trigger at the close of a candle for precise entry/exit points.
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#### *How to Use:*
1. *Adding the Indicator:*
- Copy and paste the Pine Script code into the TradingView Pine Script editor.
- Add the indicator to your chart.
2. *Configuring the Settings:*
- *Trend Settings:*
- Choose the *MA type* (e.g., EMA for faster response, HMA for smoother trends).
- Set the *Trend MA Period* (e.g., 200 for long-term trends) and *Filter MA Period* (e.g., 100 for medium-term trends).
- *Advanced Filters:*
- Enable/disable the *MACD Filter* and adjust its parameters (Fast, Slow, Signal).
- Enable/disable the *Volume Filter* to ensure trends are supported by volume.
- *Multi-Timeframe Filter:*
- Enable this filter to validate trends using a higher timeframe (e.g., Daily or Weekly).
3. *Interpreting the Signals:*
- *Uptrend:* The trend line turns *green*, and the background is filled with a transparent green color.
- *Downtrend:* The trend line turns *red*, and the background is filled with a transparent red color.
- *Alerts:* Buy/sell signals are generated when the trend is confirmed.
4. *Using Alerts:*
- Set up alerts for *Buy Signal* (bullish reversal) and *Sell Signal* (bearish reversal).
- Alerts can be configured to trigger at the close of a candle for precise execution.
---
#### *Settings and Their Effects:*
1. *MA Type:*
- *SMA:* Smooth but lagging. Best for long-term trends.
- *EMA:* Faster response to price changes. Suitable for medium-term trends.
- *WMA:* Gives more weight to recent prices. Useful for short-term trends.
- *HMA:* Combines speed and smoothness. Ideal for all timeframes.
2. *Trend MA Period:*
- A longer period (e.g., 200) identifies long-term trends but may lag.
- A shorter period (e.g., 50) reacts faster but may produce false signals.
3. *Filter MA Period:*
- Acts as a secondary filter to confirm the trend.
- A shorter period (e.g., 50) provides tighter confirmation but may increase noise.
4. *MACD Filter:*
- Ensures trends are confirmed by MACD crossovers.
- Adjust the *Fast, **Slow, and **Signal* lengths to match your trading style.
5. *Volume Filter:*
- Ensures trends are supported by above-average volume.
- Reduces false signals during low-volume periods.
6. *Multi-Timeframe Filter:*
- Validates trends using a higher timeframe (e.g., Daily or Weekly).
- Increases reliability but may delay signals.
7. *Confirmation Value:*
- Sets the minimum percentage deviation from the trend MA required to confirm a trend.
- A higher value (e.g., 2.0%) reduces false signals but may delay trend detection.
8. *Confirmation Bars:*
- Sets the number of bars required to confirm a trend.
- A higher value (e.g., 5 bars) ensures sustained trends but may delay signals.
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#### *Who Should Use This Indicator?*
1. *Trend Followers:*
- Traders who focus on identifying and riding long-term trends.
- Suitable for *swing traders* and *position traders*.
2. *Day Traders:*
- Can use shorter MA periods and faster filters (e.g., EMA, HMA) for intraday trends.
3. *Volume-Based Traders:*
- Traders who rely on volume confirmation to validate trends.
4. *Multi-Timeframe Traders:*
- Traders who use higher timeframes to confirm trends on lower timeframes.
5. *Beginners:*
- Easy-to-understand visual signals and alerts make it beginner-friendly.
6. *Advanced Traders:*
- Customizable settings allow for fine-tuning to match specific strategies.
---
#### *Example Use Cases:*
1. *Long-Term Investing:*
- Use a *200-period SMA* with a *Daily* higher timeframe filter to identify long-term trends.
- Enable the *Volume Filter* to ensure trends are supported by strong volume.
2. *Swing Trading:*
- Use a *50-period EMA* with a *4-hour* higher timeframe filter for medium-term trends.
- Enable the *MACD Filter* to confirm trend reversals.
3. *Day Trading:*
- Use a *20-period HMA* with a *1-hour* higher timeframe filter for short-term trends.
- Disable the *Volume Filter* for faster signals.
---
#### *Conclusion:*
The *Trend Detection* indicator is a versatile tool for traders of all levels. Its customizable settings and advanced filters make it suitable for various trading styles and timeframes. By combining moving averages, volume analysis, and MACD filters, it provides reliable trend signals with minimal lag. Whether you're a beginner or an advanced trader, this indicator can help you make better trading decisions by identifying and confirming trends in the market.
---
#### *Publishing on TradingView:*
- *Title:* Trend Detection with Advanced Filters
- *Description:* A powerful trend detection tool using moving averages, volume analysis, and MACD filters. Suitable for all trading styles and timeframes.
- *Tags:* Trend, Moving Averages, MACD, Volume, Multi-Timeframe
- *Category:* Trend-Following
- *Access:* Public or Private (depending on your preference).
---
Let me know if you need further assistance or additional features!
fractal candle The fractal candle technical indicator to identify potential trend reversals in financial markets. It works by counting a series of price bars and looking for specific patterns that indicate when a trend is likely to reverse.
How the Indicator Works:
Counting Candles:
The indicator compares the closing price of the current candle with the closing price from 4 candles ago.
If the current close is higher, the bullish (buy) count increases.
If the current close is lower, the bearish (sell) count increases.
When a count reaches 9 or 13, it may signal a trend reversal.
Buy and Sell Setup:
A buy setup occurs when there have been 9 consecutive candles where each close is lower than the close 4 candles before. This suggests a possible bullish reversal.
A sell setup occurs when there have been 9 consecutive candles where each close is higher than the close 4 candles before. This suggests a possible bearish reversal.
Support and Resistance Levels:
The indicator tracks previous highs and lows during buy/sell setups to identify potential support and resistance levels.
These levels can help traders decide where price might reverse or consolidate.
Candle Coloring for Visual Aid:
The script changes candle colors:
Red for sell signals 📉
Green for buy signals 📈
Different shades for overshoot conditions (extended trends)
Easy Buy & Sell Signals with Volume//@version=5
indicator("Easy Buy & Sell Signals with Volume", overlay=true)
// Inputs
fastLength = input.int(20, title="Fast Moving Average Length")
slowLength = input.int(50, title="Slow Moving Average Length")
volumeLength = input.int(20, title="Volume MA Length")
// Moving Averages
fastMA = ta.ema(close, fastLength)
slowMA = ta.ema(close, slowLength)
avgVolume = ta.sma(volume, volumeLength)
// Plot Moving Averages
plot(fastMA, color=color.green, linewidth=2, title="Fast MA")
plot(slowMA, color=color.red, linewidth=2, title="Slow MA")
// Volume condition
highVolume = volume > avgVolume
// Buy and Sell conditions
buySignal = ta.crossover(fastMA, slowMA) and highVolume
sellSignal = ta.crossunder(fastMA, slowMA) and highVolume
// Plot Buy and Sell signals
plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="Buy", textcolor=color.white)
plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell", textcolor=color.white)
// Alerts
alertcondition(buySignal, title="Buy Signal", message="Buy Signal Triggered with High Volume")
alertcondition(sellSignal, title="Sell Signal", message="Sell Signal Triggered with High Volume")
