Optimized Trend-Momentum SignalsThis indicator combines trend, momentum, and volume-strength factors into a single buy/sell signal system. It integrates:
SMA 200 → Identifies the long-term trend (price above = bullish bias, below = bearish bias).
MACD (12,26,9) → Confirms momentum direction with line crossovers.
RSI (7) → Filters strength (above 50 = bullish, below 50 = bearish).
ROC (45) → Validates positive or negative rate of change.
Signal Logic:
Buy Signal → Price above SMA 200, MACD bullish, RSI > 50, and ROC > 0.
Sell Signal → Price below SMA 200, MACD bearish, RSI < 50, and ROC < 0.
Features:
Clear arrows for BUY and SELL signals.
Long-term SMA plotted for trend visualization.
Alerts built-in for real-time notifications.
This tool helps traders filter out noise and act only when all major confirmation factors align, reducing false signals and improving decision-making.
"signal" için komut dosyalarını ara
Breakout Signals This indicator is a Pine Script tool for identifying potential trading opportunities using breakout signals. It provides two distinct types of breakout alerts and calculates a potential price target for one of them.
### Breakout Signal Types
* **Lowest Low Breakout:** This signal is triggered when the current bar closes above the high of the previous bar, and that previous bar had the lowest low within a user-defined lookback period. This indicates a potential bullish reversal after a short-term downtrend.
* **Highest High Breakout:** This signal occurs when the current bar's close price exceeds the highest high recorded within a specified lookback period. This pattern suggests strong bullish momentum and a potential continuation of an uptrend.
### Visuals and Alerts
The indicator helps visualize these signals on the chart by highlighting the background of entry candles. It uses a light green background for the Lowest Low Breakout and a light yellow for the Highest High Breakout. A table is displayed on the chart to show the details of the most recent Lowest Low Breakout and its calculated target. Additionally, it provides an alert feature to notify users in real time when either of the breakout conditions is met.
VSA Signals [odnac]This indicator applies Volume Spread Analysis (VSA) concepts to highlight important supply and demand events directly on the chart. It automatically detects common VSA patterns using price spread, relative volume, and candle structure, with optional trend filtering for higher accuracy.
Features:
Stopping Volume (SV): Signals potential end of a downtrend when heavy buying appears.
Buying Climax (BC): Indicates exhaustion of an uptrend with heavy volume near the top.
No Supply (NS): Weak selling pressure, often a bullish sign in an uptrend.
No Demand (ND): Weak buying interest, often a bearish sign in a downtrend.
Test: Low-volume test bar probing for supply.
Up-thrust (UT): Failed breakout with long upper wick, often a bearish trap.
Shakeout: Bear trap with high-volume wide down bar closing low.
Demand Absorption (DA): Demand absorbing heavy selling pressure.
Supply Absorption (SA): Supply absorbing heavy buying pressure.
Additional Options:
Background highlights for detected signals.
Configurable moving average (SMA, EMA, WMA, VWMA) as a trend filter.
Adjustable multipliers for volume and spread sensitivity.
Legend table for quick reference of signals and meanings.
Alerts available for all signals.
This tool is designed to help traders spot professional accumulation and distribution activity and to improve trade timing by recognizing supply/demand imbalances in the market.
Locked 5m 13 EMA & 15m 20 EMA with Mid EMA & SignalsThis indicator overlays the 5-minute 13 EMA and the 15-minute 20 EMA on any chart timeframe up to 15 minutes, along with a mid EMA (5-minute 36-period) for reference.
Features include:
EMA Cross Detection: Shows bullish and bearish cross arrows when the 5m 13 EMA crosses the 15m 20 EMA.
EMA Fill: Highlights the area between the EMAs in green (bullish) or red (bearish).
Mid EMA Buy/Sell Signals: Generates buy signals when price touches the mid EMA in a bullish stack and sell signals in a bearish stack.
Custom Alerts: Alerts for EMA crosses, EMA stack direction, and mid EMA buy/sell triggers.
Timeframe Safety Warning: Alerts if applied on timeframes higher than 15 minutes.
Ideal For:
Traders who want a locked, non-repainting EMA setup for multi-timeframe analysis and clear entry/exit signals based on mid-range EMA interaction.
Inputs:
Show/Hide arrows for EMA crosses
Show/Hide fill between EMAs
Show/Hide mid EMA line
Show/Hide buy/sell signals
Fill transparency adjustment
Quant Signals: Econophysics-based MomentumPhysical Momentum Switcher (p0 / p1 / p2 / p3)
This indicator implements a “physical momentum” concept from quantitative finance research, where momentum is defined similarly to physics:
Momentum (p) = Mass × Velocity
Instead of using only the standard cumulative return (classic momentum), it lets you switch between multiple definitions:
p0: Cumulative return over the lookback period (no mass, just price change).
p1: Sum of (mass × velocity) over the lookback period.
p2: Weighted average velocity = (Σ mass×velocity) ÷ (Σ mass).
p3: Sharpe-like momentum = average velocity ÷ volatility (massless).
Velocity can be measured as:
Log return: ln(Pt / Pt-1)
Normal return: (Pt / Pt-1 – 1)
Mass (for p1/p2) can be defined as:
Unit mass (1) — equal weighting, equivalent to traditional momentum.
Turnover proxy — Volume ÷ average volume over k bars.
Value turnover proxy — Dollar volume ÷ average dollar volume.
Inverse volatility — 1 ÷ return volatility over a specified period.
Features:
Switchable momentum definition, velocity type, and mass type.
Adjustable lookback (k) and smoothing period for the signal line.
Optional ±1σ display bands for quick overbought/oversold visual cues.
Alerts for crosses above/below zero or the signal line.
Table display summarizing current settings and values.
Typical uses:
Momentum trading: Buy when PM > 0 (or crosses above the signal), sell/short when PM < 0 (or crosses below).
Contrarian strategies: Reverse the logic when testing mean-reversion effects.
Cross-asset testing: Apply to different instruments to see which PM definition works best.
Buy and Sell Signals by Raja Saien📈 Buy and Sell Signals by Raja Saien 💹
"Simple. Clean. Powerful."
🔥 This indicator is built for those who believe in price action and clarity. No confusion, no clutter — just pure EMA crossover logic to catch early trends and filter false moves.
✅ Buy Signal when the 9 EMA crosses above the 21 EMA — indicating momentum shift to the upside.
❌ Sell Signal when the 9 EMA crosses below the 21 EMA — signaling potential downside momentum.
🧠 Designed for traders who trust the trend, respect momentum, and want to stay ahead of the crowd.
🔍 Perfect for scalping, intraday, and swing trading. Combine it with support/resistance or price action zones for even more 🔥 accuracy.
✨ Created by Raja Saien — for serious traders only.
💪 "Indicators don’t make you money, but discipline with clarity does."
Neural Network Buy and Sell SignalsTrend Architect Suite Lite - Neural Network Buy and Sell Signals
Advanced AI-Powered Signal Scoring
This indicator provides neural network market analysis on buy and sell signals designed for scalpers and day traders who use 30s to 5m charts. Signals are generated based on an ATR system and then filtered and scored using an advanced AI-driven system.
Features
Neural Network Signal Engine
5-Layer Deep Learning analysis combining market structure, momentum, and market state detection
AI-based Letter Grade Scoring (A+ through F) for instant signal quality assessment
Normalized Input Processing with Z-score standardization and outlier clipping
Real-time Signal Evaluation using 5 market dimensions
Advanced Candle Types
Standard Candlesticks - Raw price action
Heikin Ashi - Trend smoothing and noise reduction
Linear Regression - Mathematical trend visualization
Independent Signal vs Display - Calculate signals on one type, display another
Key Settings
Signal Configuration
- Signal Trigger Sensitivity (Default: 1.7) - Controls signal frequency vs quality
- Stop Loss ATR Multiplier (Default: 1.5) - Risk management sizing
- Signal Candle Type (Default: Candlesticks) - Data source for signal calculations
- Display Candle Type (Default: Linear Regression) - Visual candle display
Display Options
- Signal Distance (Default: 1.35 ATR) - Label positioning from price
- Label Size (Default: Medium) - Optimal readability
Trading Applications
Scalping
- Fast pace signal detection with quality filtering
- ATR-based stop management prevents signal overlap
- Neural network attempts to reduces false signals in choppy markets
Day Trading
- Multi-timeframe compatible with adaptation settings
- Clear trend visualization with Linear Regression candles
- Support/resistance integration for better entries/exits
Signal Filtering
- Use A+/A grades for highest probability setups
- B grades for confirmation in trending markets
- C-F grades help identify market uncertainty
Why Choose Trend Architect Lite?
No Lag - Real-time neural network processing
No Repainting - Signals appear and stay fixed
Clean Charts - Focus on price action, not indicators
Smart Filtering - AI reduces noise and false signals
Flexible and customizable - Works across all timeframes and instruments
Compatibility
- All Timeframes - 1m to Monthly charts
- All Instruments - Forex, Crypto, Stocks, Futures, Indices
Risk Disclaimer
This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Breakout Range Signal with Quality Analysis [Dova Lazarus]📌 Breakout Range Signal with Quality Analysis
🎓 Training-focused indicator for breakout logic, SL & TP behavior and signal quality assessment
🔷 PURPOSE
This tool identifies breakout candles from a calculated channel range and visually simulates entries, stop losses, and take profits, providing live and historical performance metrics.
⚙️ MAIN SETTINGS
1️⃣ Channel Setup
channel_length = 10 → how many candles are averaged to form channel boundaries
channel_multiplier = 0.0 → adds expansion above/below the base channel
channel_smoothing_type = SMA → smoothing method for high/low averaging
📊 The channel consists of two moving averages: one from highs, the other from lows. When expanded (via multiplier), it creates a buffer range for breakout validation.
2️⃣ Signal Detection
Body > Channel % = 50 → a breakout candle's body must exceed 150% of the channel width
Signal Mode:
• Weak → every valid breakout candle is highlighted
• Strong → only the first signal in a sequence is shown (helps reduce noise)
🟦 Bullish signals (blue):
• Candle opens inside the channel
• Closes above the channel
• Body is large enough
• Optional: confirms with trend (if enabled)
🟨 Bearish signals (yellow):
• Candle opens inside the channel
• Closes below the channel
• Body is large enough
• Optional: confirms with trend
3️⃣ Trend Filter (optional)
Enabled via checkbox
Uses a higher timeframe MA to filter signals
Bullish signals are allowed only if price is below the trend MA
Bearish signals only if price is above it
⏱️ trend_timeframe = 1D (typically set higher than the chart's timeframe)
🟢 Trend line is plotted if enabled
🎯 ENTRY, STOP LOSS & TAKE PROFIT LOGIC
SL and TP are based on channel width, not fixed pip/tick size:
📍 Entry Price = close of the breakout candle
🛑 Stop Loss:
• Bullish → below the lower channel border (minus offset)
• Bearish → above the upper channel border (plus offset)
🎯 Take Profit:
• Bullish → entry + channel width × profit multiplier
• Bearish → entry − channel width × profit multiplier
You can control:
Profit Target Multiplier (e.g., 1.0 → TP = 1×channel width)
Stop Loss Target Multiplier (e.g., 0.5 → SL = 0.5×channel width)
Signals to Show = how many historical SL/TP setups to display
📈 Lines and labels ("TP", "SL") are drawn on the chart for clarity.
🧪 QUALITY ANALYSIS MODULE
If enabled, the indicator will:
Track each new signal (entry, SL, TP)
Analyze outcomes:
• Win = TP hit before SL
• Loss = SL hit before TP
• Expired = signal unresolved after N bars
Display statistics in a table (top-right corner):
📋 Table fields:
✅ Overall win rate
📈 Bullish win rate
📉 Bearish win rate
🔢 Total signals
🕓 Pending (still active trades)
Maximum bars to wait for outcome is customizable (max_bars_to_analyze).
📐 VISUALIZATION TOOLS
TP / SL lines per signal
Labels “TP” and “SL”
Optional channel lines and trendline for better context
Colored bars for valid signals (blue/yellow)
📌 BEST USE CASES
Understand how breakout signals are formed
Learn SL/TP logic based on dynamic range
Test how volatility affects trade outcomes
Use as a visual simulation of trade behavior over time
Zone Shift [ChartPrime]⯁ OVERVIEW
Zone Shift is a dynamic trend detection tool that uses EMA/HMA-based bands to determine trend shifts and plot key reaction levels. It highlights trend direction through colored candles and marks important retests with visual cues to help traders stay aligned with momentum.
⯁ KEY FEATURES
Dynamic EMA-HMA Band:
Creates a three-line channel using the average of an EMA and HMA for the midline, and expands it using average candle range to form upper and lower bounds. This band visually adapts to market volatility.
float ema = ta.ema(close, length)
float hma = ta.hma(close, length-40)
float dist = ta.sma(high-low, 200)
float mid = math.avg(ema, hma)
float top = mid + dist
float bot = mid - dist
Trend Detection (Band Cross Logic):
Detects an uptrend when the Low crosses above the top band.
Detects a downtrend when the High crosses below the bottom band.
Bars change color to lime for uptrends and blue for downtrends.
Trend Initiation Level:
At the start of a new trend, the indicator locks in the extreme point (low for uptrend, high for downtrend) and plots a dashed horizontal level, serving as a potential retest zone.
Trend Retest Signal:
If price crosses back over the Trend Initiation level in the direction of the trend, a diamond label (⯁) is plotted at the retest point — confirming that price is revisiting a key shift level.
Visual Band Layout:
Midline: Dashed line shows the average of EMA and HMA.
Top/Bottom: Solid lines showing dynamic thresholds above/below the midline.
These help visualize compression, expansion, and possible breakout zones.
Color-Based Candle Plotting:
Candles are recolored in real time according to the current trend, allowing instant visual alignment with the market’s directional bias.
Noise-Filtered Retests:
To avoid repetitive signals, retests are only marked if they occur more than 5 bars after the previous one — filtering out minor fluctuations.
⯁ USAGE
Use colored candles to align trades with the dominant trend.
Treat dashed trendStart levels as important support/resistance zones.
Watch for ⯁ diamond labels as confirmation of retests for continuation or entry.
Use band boundaries to assess trend strength and volatility expansion.
Combine with your existing setups to validate momentum and zone shifts.
⯁ CONCLUSION
Zone Shift helps traders visually capture trend changes and key reaction points with precision. By combining band breakouts with real-time retest signals and trend-colored candles, this tool simplifies the process of reading market structure shifts and identifying high-confluence entry areas.
Step-OMA with SignalsThe Step-OMA with Signals is a sophisticated trend-following indicator that combines Loxx's Optimized Moving Average (OMA) algorithm with an advanced step function to create a highly responsive yet smooth trend detection system. This indicator excels at identifying trend changes early while minimizing false signals through its adaptive filtering mechanism.
Core Algorithm Components
1. Optimized Moving Average (OMA) Foundation
Based on Loxx's advanced OMA implementation
Uses a 6-stage exponential smoothing process
Incorporates adaptive period calculation based on market noise
Employs Jurik-style smoothing techniques for superior signal quality
2. Step Function Integration
Implements a step-based trend detection mechanism
Uses ATR-based dynamic threshold calculation
Maintains trend consistency through threshold memory
Provides clear trend change identification
3. Adaptive Noise Filtering
Automatically adjusts to market volatility
Calculates optimal averaging periods based on price noise
Reduces false signals in choppy market conditions
Speed (Default: 3.0, Range: -1.5 to unlimited)
This is the most critical parameter affecting indicator behavior:
Positive Speed Values (0 to 10.0+):
Creates faster, more responsive signals
Higher values increase sensitivity to recent price action
Negative Speed Values (-1.5 to -0.1):
Produces smoother, more conservative signals
Reduces noise and false breakouts
Creates delayed but more reliable trend confirmations
Adaptive (Default: True)
When enabled: Automatically adjusts averaging period based on market noise
When disabled: Uses fixed length parameter
Recommendation: Keep enabled for most market conditions
Sensitivity Factor (Default: 3.0)
Controls the threshold distance for trend change detection
Lower values: More frequent signals, higher sensitivity
Higher values: Fewer but more reliable signals
Optimal range: 2.0-5.0 depending on market volatility
Step Size Period (Default: 50)
Determines the ATR calculation period for dynamic thresholds
Affects the indicator's adaptation to volatility changes
Lower values: More reactive to recent volatility
Higher values: More stable threshold calculation
For a trading application, Step-OMA is a suitable base filter to complement other types of signaling indicators (oscillators, momentum indicators).
Disclaimer: This indicator is a technical analysis tool and should be used in conjunction with proper risk management and comprehensive market analysis. Past performance does not guarantee future results.
Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview
The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions.
The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability.
The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period.
The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline
Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline
Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes
Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions
Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions
Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation
2. Momentum Confirmation and Visual Analysis
Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum
Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification
Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar
Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation
Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions
3. Examples: Preconfigured Settings
Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes.
Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts.
Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts.
Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes.
Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW
A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns.
Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability.
🔵 CONCEPTS
Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price.
SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier.
Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands.
Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence.
🔵 FEATURES
Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve.
Clean Entry Signals:
→ 🢁 arrow printed when trend flips bullish below 50 (bottom reversals).
→ 🢃 arrow printed when trend flips bearish above 50 (top reversals).
Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator.
Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference.
Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI.
🔵 HOW TO USE
Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions.
Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas.
Combine with price-based SuperTrend or support/resistance zones for confluence.
Suitable for scalping, swing trading, or momentum filtering across all timeframes.
🔵 CONCLUSION
Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Rolling Z-Score Trend [QuantAlgo]🟢 Overview
The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts.
The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes.
🟢 How It Works
The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals.
Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action.
🟢 How to Use
1. Z-Score Interpretation and Threshold Zones
Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions
Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions
Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes
Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions
Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions
Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities
2. Momentum Background Analysis and Info Table
Green Columns : Accelerating positive momentum in Z-Score values
Red Columns : Accelerating negative momentum in Z-Score values
Column Height : Magnitude of momentum change between bars
Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals
Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management
3. Preconfigured Settings
Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management.
Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements.
Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes.
Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Fibonacci Entry Bands [AlgoAlpha]OVERVIEW
This script plots Fibonacci Entry Bands, a trend-following and mean-reversion hybrid system built around dynamic volatility-adjusted bands scaled using key Fibonacci levels. It calculates a smoothed basis line and overlays multiple bands at fixed Fibonacci multipliers of either ATR or standard deviation. Depending on the trend direction, specific upper or lower bands become active, offering a clear framework for entry timing, trend identification, and profit-taking zones.
CONCEPTS
The core idea is to use Fibonacci levels—0.618, 1.0, 1.618, and 2.618—as multipliers on a volatility measure to form layered price bands around a trend-following moving average. Trends are defined by whether the basis is rising or falling. The trend determines which side of the bands is emphasized: upper bands for downtrends, lower bands for uptrends. This approach captures both directional bias and extreme price extensions. Take-profit logic is built in via crossovers relative to the outermost bands, scaled by user-selected aggressiveness.
FEATURES
Basis Line – A double EMA smoothing of the source defines trend direction and acts as the central mean.
Volatility Bands – Four levels per side (based on selected ATR or stdev) mark the Fibonacci bands. These become visible only when trend direction matches the side (e.g., only lower bands plot in an uptrend).
Bar Coloring – Bars are shaded with adjustable transparency depending on distance from the basis, with color intensity helping gauge overextension.
Entry Arrows – A trend shift triggers either a long or short signal, with a marker at the outermost band with ▲/▼ signs.
Take-Profit Crosses – If price rejects near the outer band (based on aggressiveness setting), a cross appears marking potential profit-taking.
Bounce Signals – Minor pullbacks that respect the basis line are marked with triangle arrows, hinting at continuation setups.
Customization – Users can toggle bar coloring, signal markers, and select between ATR/stdev as well as take-profit aggressiveness.
Alerts – All major signals, including entries, take-profits, and bounces, are available as alert conditions.
USAGE
To use this tool, load it on your chart, adjust the inputs for volatility method and aggressiveness, and wait for entries to form on trend changes. Use TP crosses and bounce arrows as potential exit or scale-in signals.
ScalpZone NQ 1M - Volume Signals with Highlight Box📊 ScalpZone NQ 1M - Volume Signals with Highlight Box
ScalpZone is a professional-grade indicator designed specifically for 1-minute scalping on Nasdaq Futures (NQ), focusing on high-volume price action zones. It automatically detects aggressive buying/selling activity based on volume spikes and visualizes potential entry zones with dynamic horizontal lines and price boxes.
🔍 Key Features:
Volume Spike Detection: Identifies high-volume candles using an adjustable EMA-based volume threshold.
Directional Volume Signals: Highlights candles with directional momentum (bullish or bearish) based on real-time volume dominance.
Scalp Zone Visualization:
Draws horizontal support/resistance lines at volume signal prices.
Renders price boxes around those levels to highlight actionable zones.
Zones automatically extend when respected by price, and disappear when invalidated.
Visual Candle Enhancement: Dynamically colors candles to reflect normalized volume intensity and direction.
Customizable Parameters:
Volume EMA & threshold multiplier
Line and box dimensions
Toggle zone visibility
🛠️ Use Case:
Perfect for scalpers and short-term traders looking to exploit volume-based reversals or breakout traps on the NQ 1-minute chart. Traders can use the visual cues to time entries, manage stops, or validate confluence with other tools (e.g., order flow, delta spikes, or footprint charts).
Market Breadth Toolkit [LuxAlgo]The Market Breadth Toolkit allows traders to use up to 6 different market breadth measures on two different exchanges, for a total of 12 different views of the market.
This toolkit includes divergence detection and allows setting custom fixed levels for traders who want to experiment with them.
🔶 USAGE
The main idea behind Breadth is to measure the number of advancing and declining issues and/or volume by exchange to have an idea of the underlying strength of the whole exchange.
On the other hand, thrusts represent big impulses in the breadth, as it is described by technicians to be the start of a new bullish trend.
By default, the Toolkit is set to "Breadth Thrust Zweig", with divergences enabled.
We will now explain all the different breadth measures available in the toolkit.
🔹 Deemer Breakaway Momentum
The "Breakaway Momentum" is a concept related to market breadth introduced by legendary technical analyst Walter Deemer.
As stated on his website:
We coined the term "breakaway momentum" in the 1970's to describe this REALLY powerful upward momentum
and:
We now know that the stock market generates breakaway momentum when the 10-day total advances on the NYSE are greater than 1.97 times the 10-day total NYSE declines OR the 20-day total advances on the NYSE are greater than 1.72 times the 20-day total NYSE declines.
As we can see in the chart above, which shows both methods, momentum is identified when the ratio of advancing issues to declining issues is greater than 1.97 for the 10-day average or 1.72 for the 20-day average.
🔹 Zweig Breadth Tools
Legendary trader and author Marting Zweig, best known as the author of "Winning on Wall Street" and the creator of the Put/Call Ratio.
In this toolkit, we feature two of his other tools:
Breadth Thrust: Number of Advancing / (Number of Advancing + Number of Declining Stocks)
Market Thrust: (Number of Advancing × Advancing Volume) — (Number of Declining Stocks × Declining Volume)
As we can see on the above chart, the Breadth Thrust printed a new signal on April 24, 2025, which is a bullish signal on the daily chart that can last several months, considering the previous signals.
On the right side, we have the Market Thrust as the delta between advancing minus declining volume weighted.
🔹 Whaley Measures
Wayne Whaley received the 2010 Charles Dow Award from the CMT Association, as stated on their website: "In 1994, the CMT Association established the Charles H. Dow Award to recognize outstanding research in technical analysis."
We include two of the tools from this paper:
Advance Decline Thrust: Number of Advancing / (Number of Advancing + Number of Declining Stocks)
Up/Down Volume Thrust Advancing Volume / (Advancing Volume + Declining Volume)
The chart above shows Thrust signals at extreme readings as described in the paper.
🔹 Divergences
The divergence detector is enabled by default, traders can disable it and fine-tune the detection length in the settings panel.
🔹 Fixed Levels
Traders can adjust the Thrust detection thresholds in the settings panel.
In the image above, we can see the Deemer Breakaway Momentum 10 with the original threshold (below) and with the 3.0 threshold (above).
🔶 SETTINGS
Breadth: Choose between 6 different breadth thrust measurement methods.
Data: Choose between NYSE or NASDAQ exchanges.
Divergences: Enable/Disable divergences and select the length detection.
🔹 Levels
Use Fixed Levels: Enable/Disable Fixed Levels.
Top Level: Select the top-level threshold.
Bottom Level: Select bottom level threshold.
Levels Style: Choose between dashed, dotted, or solid style.
🔹 Style
Breadth: Select breadth colors
Divergence: Select divergence colors
Gap & Reversal Signals (Normal vs Heikin-Ashi)🔍 Gap & Reversal Signals (Normal vs Heikin-Ashi) — by
This script is designed to help traders identify key market signals by comparing Normal Candlestick Patterns with Heikin-Ashi values to highlight potential:
✅ Gap Up Opportunities (Strong Bullish Continuation)
🔻 Gap Down Alerts (Strong Bearish Continuation)
🔄 Bullish Reversal Zones (Possible Trend Reversal from Bearish to Bullish)
🔁 Bearish Reversal Zones (Possible Trend Reversal from Bullish to Bearish)
🧠 How it Works:
Gap Up: Normal candle is bullish, Heikin-Ashi is also bullish, and price closes higher than the HA close.
Gap Down: Normal candle is bearish, Heikin-Ashi is also bearish, and price closes lower than the HA close.
Bullish Reversal: Normal candle is bullish, but Heikin-Ashi shows bearish — potential reversal signal.
Bearish Reversal: Normal candle is bearish, but Heikin-Ashi shows bullish — potential reversal signal.
📊 Plot Details:
💚 Gap Up → Green Label Below Bar
❤️ Gap Down → Red Label Above Bar
💙 Bullish Reversal → Blue Label Below Bar
🧡 Bearish Reversal → Orange Label Above Bar
🚀 Use Cases:
Swing and positional traders looking for high-probability reversal setups
Intraday traders spotting early momentum shifts
Backtesters combining HA + candlestick logic for more robust strategies
MTF RSI & SMA Crossover [OB/OS Filtered Signals]MTF RSI & SMA Crossover
This custom indicator combines the power of Multi-Timeframe (MTF) RSI, Simple Moving Average (SMA), and overbought/oversold (OB/OS) conditions to provide precise buy and sell signals based on the crossovers of the RSI and its SMA. The indicator includes the following features:
MTF RSI: The Relative Strength Index (RSI) is calculated on a customizable timeframe, giving traders the ability to analyze price momentum across different timeframes.
SMA of RSI: The RSI is smoothed using a Simple Moving Average (SMA), helping to filter out market noise and identify clearer trend reversals.
Overbought/Oversold Filter: Signals are only triggered when the RSI has been in an overbought (above 70) or oversold (below 30) condition, improving the reliability of potential trend reversals.
Buy/Sell Signals:
Buy signals occur when the RSI crosses above its SMA after being oversold, indicating potential upward momentum.
Sell signals occur when the RSI crosses below its SMA after being overbought, indicating potential downward momentum.
Customizable Label Colors: Choose your own colors for the "BUY" and "SELL" labels to match your chart's design and preferences.
Alerts: Set alerts for buy and sell signals, ensuring you don't miss a potential trade.
This indicator is ideal for traders who want to capture trend reversals and momentum shifts while filtering out false signals by using overbought and oversold conditions. Customize the settings to suit your trading style and strategy.
Multi Oscillator OB/OS Signals v3 - Scope TestIndicator Description: Multi Oscillator OB/OS Signals
Purpose:
The "Multi Oscillator OB/OS Signals" indicator is a TradingView tool designed to help traders identify potential market extremes and momentum shifts by monitoring four popular oscillators simultaneously: RSI, Stochastic RSI, CCI, and MACD. Instead of displaying these oscillators in separate panes, this indicator plots distinct visual symbols directly onto the main price chart whenever specific predefined conditions (typically related to overbought/oversold levels or line crossovers) are met for each oscillator. This provides a consolidated view of potential signals from these different technical tools.
How It Works:
The indicator calculates the values for each of the four oscillators based on user-defined settings (like length periods and price sources) and then checks for specific signal conditions on every bar:
Relative Strength Index (RSI):
It monitors the standard RSI value.
When the RSI crosses above the user-defined Overbought (OB) level (e.g., 70), it plots an "Overbought" symbol (like a downward triangle) above that price bar.
When the RSI crosses below the user-defined Oversold (OS) level (e.g., 30), it plots an "Oversold" symbol (like an upward triangle) below that price bar.
Stochastic RSI:
This works similarly to RSI but is based on the Stochastic calculation applied to the RSI value itself (specifically, the %K line of the Stoch RSI).
When the Stoch RSI's %K line crosses above its Overbought level (e.g., 80), it plots its designated OB symbol (like a downward arrow) above the bar.
When the %K line crosses below its Oversold level (e.g., 20), it plots its OS symbol (like an upward arrow) below the bar.
Commodity Channel Index (CCI):
It tracks the CCI value.
When the CCI crosses above its Overbought level (e.g., +100), it plots its OB symbol (like a square) above the bar.
When the CCI crosses below its Oversold level (e.g., -100), it plots its OS symbol (like a square) below the bar.
Moving Average Convergence Divergence (MACD):
Unlike the others, MACD signals here are not based on fixed OB/OS levels.
It identifies when the main MACD line crosses above its Signal line. This is considered a bullish crossover and is indicated by a specific symbol (like an upward label) plotted below the price bar.
It also identifies when the MACD line crosses below its Signal line. This is a bearish crossover, indicated by a different symbol (like a downward label) plotted above the price bar.
Visualization:
All these signals appear as small, distinct shapes directly on the price chart at the bar where the condition occurred. The shapes, their colors, and their position (above or below the bar) are predefined for each signal type to allow for quick visual identification. Note: In the current version of the underlying code, the size of these shapes is fixed (e.g., tiny) and not user-adjustable via the settings.
Configuration:
Users can access the indicator's settings to customize:
The calculation parameters (Length periods, smoothing, price source) for each individual oscillator (RSI, Stoch RSI, CCI, MACD).
The specific Overbought and Oversold threshold levels for RSI, Stoch RSI, and CCI.
The colors associated with each type of signal (OB, OS, Bullish Cross, Bearish Cross).
(Limitation Note: While settings exist to toggle the visibility of signals for each oscillator individually, due to a technical workaround in the current code, these toggles may not actively prevent the shapes from plotting if the underlying condition is met.)
Alerts:
The indicator itself does not automatically generate pop-up alerts. However, it creates the necessary "Alert Conditions" within TradingView's alert system. This means users can manually set up alerts for any of the specific signals generated by the indicator (e.g., "RSI Overbought Enter," "MACD Bullish Crossover"). When creating an alert, the user selects this indicator, chooses the desired condition from the list provided by the script, and configures the alert actions.
Intended Use:
This indicator aims to provide traders with convenient visual cues for potential over-extension in price (via OB/OS signals) or shifts in momentum (via MACD crossovers) based on multiple standard oscillators. These signals are often used as potential indicators for:
Identifying areas where a trend might be exhausted and prone to a pullback or reversal.
Confirming signals generated by other analysis methods or trading strategies.
Noting shifts in short-term momentum.
Disclaimer: As with any technical indicator, the signals generated should not be taken as direct buy or sell recommendations. They are best used in conjunction with other forms of analysis (price action, trend analysis, volume, fundamental analysis, etc.) and within the framework of a well-defined trading plan that includes risk management. Market conditions can change, and indicator signals can sometimes be false or misleading.
Fibonacci Levels with SMA SignalsThis strategy leverages Fibonacci retracement levels along with the 100-period and 200-period Simple Moving Averages (SMAs) to generate robust entry and exit signals for long-term swing trades, particularly on the daily timeframe. The combination of Fibonacci levels and SMAs provides a powerful way to capitalize on major trend reversals and market retracements, especially in stocks and major crypto assets.
The core of this strategy involves calculating key Fibonacci retracement levels (23.6%, 38.2%, 61.8%, and 78.6%) based on the highest high and lowest low over a 365-day lookback period. These Fibonacci levels act as potential support and resistance zones, indicating areas where price may retrace before continuing its trend. The 100-period SMA and 200-period SMA are used to define the broader market trend, with the strategy favoring uptrend conditions for buying and downtrend conditions for selling.
This indicator highlights high-probability zones for long or short swing setups based on Fibonacci retracements and the broader trend, using the 100 and 200 SMAs.
In addition, this strategy integrates alert conditions to notify the trader when these key conditions are met, providing real-time notifications for optimal entry and exit points. These alerts ensure that the trader does not miss significant trade opportunities.
Key Features:
Fibonacci Retracement Levels: The Fibonacci levels provide natural price zones that traders often watch for potential reversals, making them highly relevant in the context of swing trading.
100 and 200 SMAs: These moving averages help define the overall market trend, ensuring that the strategy operates in line with broader price action.
Buy and Sell Signals: The strategy generates buy signals when the price is above the 200 SMA and retraces to the 61.8% Fibonacci level. Sell signals are triggered when the price is below the 200 SMA and retraces to the 38.2% Fibonacci level.
Alert Conditions: The alert conditions notify traders when the price is at the key Fibonacci levels in the context of an uptrend or downtrend, allowing for efficient monitoring of trade opportunities.
Application:
This strategy is ideal for long-term swing trades in both stocks and major cryptocurrencies (such as BTC and ETH), particularly on the daily timeframe. The daily timeframe allows for capturing broader, more sustained trends, making it suitable for identifying high-quality entries and exits. By using the 100 and 200 SMAs, the strategy filters out noise and focuses on larger, more meaningful trends, which is especially useful for longer-term positions.
This script is optimized for swing traders looking to capitalize on retracements and trends in markets like stocks and crypto. By combining Fibonacci levels with SMAs, the strategy ensures that traders are not only entering at optimal levels but also trading in the direction of the prevailing trend.
EREMA SignalsOverview
The EREMA Signals indicator is a specialized overlay tool designed to display precise buy and sell signals directly on your price chart. Working as a companion to the main Ehlers Reverse EMA indicator, it brings powerful momentum-based signals to your trading strategy without cluttering your chart with additional indicator panels.
Key Features
On-Chart Signal Visualization: Clear buy/sell arrows appear directly on the price chart
Dynamic Signal Positioning: Signals automatically adjust their distance from price using ATR for optimal visibility
Multiple Signal Types: Choose from three distinct signal generation methods
Clean Chart Interface: Displays only the essential signals, maintaining chart clarity
Signal Types
Zero Cross: Generates signals when the Ehlers Reverse EMA crosses above/below the zero line
MA Cross: Identifies when the Ehlers Reverse EMA crosses its own moving average
Zero & MA Cross: The strictest filter, requiring both zero line and MA crossovers for signal generation
How To Use
Setup
First add the main "Ehlers Reverse EMA" indicator to your chart
Then add this "EREMA Signals" indicator as an overlay
Configure both indicators with identical settings for alpha, MA type, and signal method
Reading Signals
Green Triangles (below price): Buy signals indicating potential upward momentum
Red Triangles (above price): Sell signals indicating potential downward momentum
Trading Applications
Trend Identification: Zero cross signals help identify changes in overall trend direction
Momentum Trading: MA cross signals can identify shorter-term momentum shifts
Confirmation Tool: Use alongside other technical indicators or price action strategies
Multiple Timeframe Analysis: Apply to different timeframes for more robust trading decisions
Best Practices
Consider using longer timeframes (4H, Daily) for more reliable signals
The combined "Zero & MA Cross" setting provides fewer but higher-quality signals
For tighter entries, use the "MA Cross" option in established trends
Adjust the Alpha parameter to match your trading style (lower for longer-term, higher for shorter-term)
This indicator works seamlessly with the main Ehlers Reverse EMA indicator while maintaining a clean chart interface, making it ideal for traders who prefer visual simplicity without sacrificing analytical power.
Nef33 Forex & Crypto Trading Signals PRO
1. Understanding the Indicator's Context
The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must:
Use dynamic or static support/resistance levels already present in the script.
Incorporate volatility (such as ATR) to adjust the levels based on market conditions.
Define a risk/reward ratio (e.g., 1:2).
2. Options for Determining SL and TP
Below, I provide several ideas based on the tools available in the script:
Stop Loss (SL)
The SL should protect you from adverse movements. You can base it on:
ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL.
Buy: SL = Entry Price - (atr_smooth * atr_mult).
Sell: SL = Entry Price + (atr_smooth * atr_mult).
Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones.
Buy: SL below the nearest ob_lows or fvg_lows.
Sell: SL above the nearest ob_highs or fvg_highs.
VWAP: Use the daily VWAP (vwap_day) as a critical level.
Buy: SL below vwap_day.
Sell: SL above vwap_day.
Take Profit (TP)
The TP should maximize profits. You can base it on:
Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3).
Buy: TP = Entry Price + (SL Distance * 2).
Sell: TP = Entry Price - (SL Distance * 2).
Key Zones: Target the next resistance (for buys) or support (for sells).
Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high.
Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low.
Ichimoku: Use the cloud levels (Senkou Span A/B) as targets.
Buy: TP at senkou_span_a or senkou_span_b (whichever is higher).
Sell: TP at senkou_span_a or senkou_span_b (whichever is lower).
3. Practical Implementation
Since the script does not automatically draw SL/TP, you can:
Calculate them manually: Observe the chart and use the levels mentioned.
Modify the code: Add SL/TP as labels (label.new) at the moment of the signal.
Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio:
Modified Code (Signals Section)
Find the lines where the signals (trade_buy and trade_sell) are generated and add the following:
pinescript
// Calculate SL and TP based on ATR
atr_sl_mult = 1.5 // Multiplier for SL
atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio)
sl_distance = atr_smooth * atr_sl_mult
tp_distance = atr_smooth * atr_tp_mult
if trade_buy
entry_price = close
sl_price = entry_price - sl_distance
tp_price = entry_price + tp_distance
label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny)
if trade_sell
entry_price = close
sl_price = entry_price + sl_distance
tp_price = entry_price - tp_distance
label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny)
Code Explanation
SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell.
TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio.
Visualization: Labels are added to the chart to display SL (red) and TP (blue).
4. Practical Strategy Without Modifying the Code
If you don’t want to modify the script, follow these steps manually:
Entry: Take the trade_buy or trade_sell signal.
SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP).
TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3.
Example:
Buy at 100, ATR = 2.
SL = 100 - (2 * 1.5) = 97.
TP = 100 + (2 * 3) = 106.
5. Recommendations
Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto).
Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference.
Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
