LEOLA LENS™ SignalPro🔹 Leola Lens™ SignalPro
An advanced trading overlay designed to assist with real-time decision-making using structured logic and visual precision.
🧠 Why Traders Use It
🔄 Real-Time Buy/Sell Signals
— Plotted based on price structure and volume logic
— Zero repaint for full reliability
🧱 Liquidity Control Boxes™ (LCB)
— Visual zones where price is likely to react or reverse
— Helps identify institutional interest areas
🎛️ Adaptive Execution Modes
— 🔁 Scalp Mode for fast-paced entries
— 🕰️ Patience Mode for swing-style clarity
📊 Smart Volume Filters
— Highlights psychological volume shifts
— Filters out noise and low-quality setups
🌍 Works Across All Major Markets
— Forex, Crypto, Indices, Commodities, and Stocks
🔒 Access Information
This is an invite-only script.
Access may be considered for users exploring structured trading workflows.
👉 To request access or learn more, please refer to the author’s profile.
⚠️ Important Note
This tool is offered for educational and research purposes only.
It does not provide financial advice or guarantee performance. Always use proper risk management.
Signals
The Multi Crossover Strategy [BoyaSignals]
📄 OVERVIEW
This strategy combines a layered entry system and adaptive risk management to capture opportunities across different market phases. Entries progress from deep reversals to momentum breakouts, using filters that adjust to trend, consolidation, or reversal conditions.
Advanced risk management features are built in, including a dynamic trailing stop and dynamic stop loss that adapt to volatility and trend conditions. These mechanisms are designed to help manage open positions more effectively than using fixed ATR multipliers alone.
The system includes enhanced backtesting statistics to help evaluate how changes in configuration affect historical performance. All backtesting results are for evaluation purposes only and should not be relied upon as an indicator of future performance.
For transparency, the strategy provides detailed chart labels showing the type of entry triggered, the entry filter number, real-time profit and loss percentages, and the reason for position closure. Display options allow users to show or hide labels and to overlay decision-related moving averages and Bollinger Bands for further context.
Alerts generated by this strategy can be used for discretionary entries or connected to automated trading platforms that accept TradingView webhook signals, such as Coinbase, Binance, and others. Some traders choose to integrate this setup with third-party services like Cryptohopper to automate execution, though this is entirely optional.
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🔍 HOW DOES IT WORK
Signals are generated through a combination of momentum crossovers that pinpoint different stages of market movement. Each entry undergoes a series of checks across multiple indicators—including RSI, CCI, ADX, Bollinger Bands, moving averages, and volume—to confirm alignment with the strategy’s criteria.
Optional divergence detection across ten indicators can further strengthen signal quality and reduce the chance of false entries. In addition, global filters enforce conditions like minimum retracements, distance from key averages, and sufficient volatility before any trade is allowed.
Once an entry is active, stop losses and trailing stops adjust automatically in response to current volatility, momentum shifts, and recent price behavior. By sequencing filters and confirmations, the strategy aims to avoid chasing late moves while systematically identifying setups with the highest potential.
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🎯 ENTRY TYPES
This strategy combines multiple entry methods to help identify potential opportunities across a variety of price conditions. Each entry type can be enabled or disabled individually and is evaluated using configurable filters and confirmation tools.
Stochastic RSI Crossover
Triggers when the Stochastic RSI K line crosses above the D line, often in oversold areas.
9-Period Moving Average Crossover
Triggers when price crosses the 9-period simple moving average.
MACD Crossover
Triggers when the MACD line crosses the signal line.
Big Bottom Entry
Designed to catch deep reversals before a Stochastic RSI crossover has formed.
Breakout Entry
Triggers when price exceeds recent high levels.
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📊 MULTI-INDICATOR EVALUATION
Every entry signal is assessed using conditions including RSI, ADX, Stochastic, CCI, volume, volatility, price position relative to Bollinger Bands, proximity to the 50 and 200 moving averages, and additional proprietary filters. These filters help align entries with broader market context and avoid signals during unfavorable conditions.
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🧭 DIVERGENCE CONFIRMATION
An additional confirmation layer can be added by checking for divergences around entry bar.
Settings let users customize how strict the divergence confirmation should be:
Specify the minimum number of divergences required
Allow divergence count overrides when volume is elevated
Require divergence on the crossover bar (stricter) or accept the nearest pivot (more flexible)
Enable divergence only when the market is not in an uptrend
Apply divergence checks selectively to specific entry types
Disable divergence validation entirely
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🧩 ENTRY FILTERS
Filters Adapted To Price Context
Each entry method uses filters tailored to price conditions. For example, Stochastic RSI has distinct filters for downtrends, sideways moves, and retracements. 9MA and MACD entries check if price is above or below the basis line. You can enable or disable these filters to create stricter or more flexible entry criteria.
This is a layered approach that identifies opportunities progressively—from deep reversals to Stoch entries below the 9MA, then 9MA and MACD setups between averages and the upper Bollinger Band, and finally breakout entries at new highs. If one entry (e.g., a Stoch Crossover) doesn’t trigger, the strategy evaluates the next crossover filters as price rises.
Global Entry Filters
In addition to specific entry conditions, the strategy includes global filters to improve signal quality. These can:
Require a minimum distance above or below the 50 and 200 moving averages.
Define minimum and maximum retracement percentages in an uptrend.
Specify minimum distances from recent swing highs, swing lows, or resistance.
Set a minimum Bollinger Band width for entries.
Optionally disable entries entirely if the price is below key moving averages.
These filters can be adjusted or turned off to fine-tune selectivity.
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🟢 DYNAMIC TRAILING STOPS
The strategy includes an advanced trailing stop mechanism that adapts to market conditions. Unlike a fixed ATR stop, this system evaluates multiple criteria to determine how aggressively or loosely to trail price.
The trailing stop becomes active only after price has reached a minimum profit level to avoid early tightening.
Dynamic ATR multipliers adjust between tight, narrow, and wide modes:
Wide trailing is used when strong bullish momentum, breakouts, or support above moving averages are detected.
Narrow trailing is applied during low volatility and early momentum loss.
Tight trailing activates if reversal signals appear, such as bearish divergences or trend exhaustion.
Evaluation factors include volatility, Bollinger Band compression, momentum slope and exhaustion patterns, price position relative to moving averages and bands, divergence signals, and recent swing levels.
You can define ATR multipliers, enable or disable tightening conditions, and choose adaptive or fixed trailing behavior.
Labels show when the trailing stop is armed and when adjustments occur.
Entry Label – In the snapshot above, you can see a Stoch Entry with the number 1 displayed below the “Stoch” label, indicating that Entry Filter 1 was the specific condition that triggered this trade.
Divergence Label – The entry was confirmed by divergences detected on four indicators at the entry bar: Stoch, CCI, CMF, and MFI. A green divergence label means regular divergences were found (hidden divergences are shown in orange).
Percentage Label – Where a position closes, you’ll see a percentage label showing the profit or loss achieved—green for profit, red for loss.
Trail Stop Label – The light blue label identifies which trailing stop rule closed the trade. In this snapshot, it was a tight stop loss triggered by bearish divergence.
Notice: A few bars to the left of this entry, there is another green divergence label without a corresponding entry signal. This indicates that although a divergence was detected, none of the entry filter criteria were met, so no trade was initiated.
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🔴 DYNAMIC STOP LOSS
This strategy includes a comprehensive stop loss system that adapts as the market evolves. The stop loss can:
Use ATR-based or fixed percentage distance.
Tighten if early reversal risk appears , such as minor bearish movement or early trend shifts.
Tighten further if stronger bearish reversal signals confirm , including failed bounce attempts, rejection at resistance, or lower highs.
Define a maximum allowable loss per trade . By default, max stop loss is set to 3.5% below entry.
Allow a temporary extension beyond the max loss cap if bullish recovery signals appear, such as deep oversold conditions with momentum shift or successful bounces. By default, extended stop loss is enabled with 1.2% additional loss allowed.
Adjust to breakeven after reaching a defined profit.
Additional settings define how many bars must pass before certain stops activate, how long extended stops remain active, and what triggers a final exit. Labels show which stop type was triggered and why.
Examples to the use of extended SL:
A Reduced Loss Example:
A Reduced Loss Example 2:
Loss Turned Into Profit:
The “+” mark at the bottom of a bar indicates that the extended stop loss feature kept the position open due to detected reversal signals.
The “T” mark shows that the tight stop loss was triggered at that bar.
The red stop loss label above the closing bar displays the type of stop loss activated (e.g., Extended SL) and the reason for the exit (e.g., Breakdown).
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STATISTICS AND BACKTESTING
The statistics provided in this strategy, help you analyze historical performance and see how changing the settings affects results .
Statistics include net profit, win rate, average win and loss size, maximum drawdown, risk/reward ratio, counts of each stop loss and trailing stop type, performance by entry method, filter-specific results, and monthly and yearly profit distributions.
The strategy was developed over the course of a full year, with extensive evaluation and testing on multiple coins and market conditions. By default all entry types and their related filters are activated. The default settings works well with many symbols but you will always need to fine-tune them in order to achieve best results for each symbol. Optimized results were found with DOGEUSDT on the 15 minute chart .
Although default settings can deliver strong performance on some symbols, it may produce poor results on others if left unadjusted. Tips for quickly tuning the configuration to different coins are provided at the end of this description.
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ADDITIONAL LABELS
Skipped Divergence Labels
In the snapshot above, you can see an example of a label showing a skipped divergence. This means a divergence was detected on that bar but was not considered valid. A divergence will not be treated as valid if the number of divergences on that bar is less than the minimum defined in the settings, or if the type of divergence does not match the expected type for the current trend. Hidden divergences are used to confirm retracements during uptrends, while regular divergences are used to identify potential bottom reversals.
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🧮 RISK ASSUMPTIONS AND DEFAULT SETTINGS
This strategy backtest uses a starting balance of $10,000 with 1 tick slippage and 0.075% commission. Position size defaults to 100% per trade to clearly measure the impact of each entry without partial allocations. The maximum stop loss is set at 3.5% below entry to limit downside risk, while an extended stop is activated by default (optional) and can widen losses by up to an additional 1.2%.
Why 100% Position Size is Used
This strategy defaults to allocating 100% of available equity per trade to simplify performance measurement and scaling. Because all entries are protected by defined stop loss levels (by default, maximum 3.5% of entry price + Extended stop loss % if activated), the actual risk per trade remains capped and does not exceed a sustainable portion of account equity. Users who prefer a different allocation can easily adjust position sizing in the Properties tab to match their preferred risk tolerance.
NOTICE & DISCLAIMER
This material is provided solely for personal study and demonstration. Redistribution, resale, modification, or any other use of these files or ideas is strictly prohibited. This tool does not provide financial advice or recommendations. Trading involves substantial risk and should be based on your own judgment. You are solely responsible for any decisions and outcomes.
No representation is made that the strategy will perform as intended in all situations. Automated systems may occasionally exit positions too early or too late, or extend trades when they should not. Use this information carefully and at your own discretion. No guarantees of performance or results are given.
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TIPS FOR ADJUSTING SETTINGS TO VARIOUS SYMBOLS
There are a few simple steps I recommend when adapting the strategy to other coins or symbols:
1. Review the backtesting results.
Check whether there’s a healthy balance between wins and losses across most entry filters. If not, continue with the adjustments below.
2. Adjust divergence confirmation strictness.
For example, by default, Stoch Entries use the “Divergence / Uptrend” setting, requiring divergence only when an uptrend isn’t detected. Changing this to “After Divergence” forces every entry to confirm with divergence. Refer to the tooltips for each option to see how they impact signals.
3. Refine divergence settings.
Try adjusting the minimum number of divergences required to validate a signal and toggle the override divergence count switch. You can also experiment with enabling or disabling the other divergence-related toggles to see how they affect performance.
4. Deactivate specific entry filters.
If some filters still show a weak win/loss ratio after refining divergence criteria, consider turning them off to improve overall results.
5. Modify Narrow Trailing Stop behavior.
You can choose when the Narrow Trailing Stop should engage—either when bandwidth drops below 3% or when it falls under the average bandwidth of recent bars.
6. Adjust Global Entry Filters
Fine-tune the global filters to change thresholds for defining uptrends, retracements, minimum volatility, and conditions around key moving averages.
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Pivot level- by DoItToday(BonVoyage)
🔐Ultimate Signal Engine by marshallthis strategy is just to tested on my binance account with 1$ each position if it work i will update the publish description
Automated Scalping Signals with TP/SL Indicator [QuantAlgo]🟢 Overview
The Automated Scalping Signals with Take Profit & Stop Loss Indicator is a multi-timeframe trading system that combines market structure analysis with directional bias filtering to identify potential scalping opportunities. It detects Points of Interest (POI) including Fair Value Gaps (FVG) and Order Blocks (OB) while cross-referencing entries with higher timeframe exponential moving average positioning to create systematic entry conditions.
The indicator features adaptive timeframe calculations that automatically scale analysis periods based on your chart timeframe, maintaining consistent analytical relationships across different trading sessions. It provides integrated trade management with stop loss calculation methods, configurable risk-reward ratios, and real-time performance tracking through dashboard displays showing trade statistics, bias direction, and active position status.
This advanced system is designed for low timeframe trading, typically performing optimally on 1 to 15-minute charts across popular instruments such as OANDA:XAUUSD , CME_MINI:MES1! , CME_MINI:ES1! , CME_MINI:MNQ1! , CBOT_MINI:YM1! , CBOT_MINI:MYM1! , BYBIT:BTCUSDT.P , BYBIT:ETHUSDT.P , or any asset and timeframe of your preference.
🟢 How It Works
The indicator operates using a dual-timeframe mathematical framework where higher timeframe exponential moving averages establish directional bias through cross-over analysis, while simultaneously scanning for specific market structure patterns on the POI timeframe. The timeframe calculation engine uses multiplication factors to determine analysis periods, ensuring the bias timeframe provides trend context while the POI timeframe captures structural formations.
The structural analysis begins with FVG detection, which systematically scans price action to identify imbalances where gaps exist between consecutive candle ranges with no overlapping wicks. When such gaps are detected, the algorithm measures their size against minimum thresholds to filter out insignificant formations. Concurrently, OB recognition analyzes three-candle sequences, examining specific open/close relationships that indicate potential institutional accumulation zones. Once these structural patterns are identified, the algorithm cross-references them against the higher timeframe bias direction, creating a validation filter that only permits entries aligned with the prevailing EMA cross-over state. When price subsequently intersects these validated POI zones, entry signals generate with the system calculating entry levels at zone midpoints, then applying the selected stop loss methodology combined with the configured risk-reward ratio to determine take profit placement.
To mirror realistic trading conditions, the indicator incorporates configurable slippage calculations that account for execution differences between intended and actual fill prices. When trades reach their take profit or stop loss levels, the algorithm applies slippage adjustments that worsen the exit prices in a conservative manner - reducing take profit fills and increasing stop loss impact. This approach ensures backtesting results reflect more realistic performance expectations by accounting for spread costs, market volatility during execution, and liquidity constraints that occur in live trading environments.
It also has a performance dashboard that continuously tracks and displays comprehensive trading metrics:
1/ Bias TF / POI TF: Displays the calculated timeframes used for bias analysis and POI detection, showing the actual periods (e.g., "15m / 5m") that result from the multiplier settings to confirm proper adaptive timeframe selection
2/ Bias Direction: Shows current market trend assessment (Bullish, Bearish, or Sideways) derived from EMA cross-over analysis to indicate which trade directions align with prevailing momentum
3/ Data Processing: Indicates how many price bars have been analyzed by the system, helping users verify if complete historical data has been processed for comprehensive strategy validation
4/ Total Trades: Displays the cumulative number of completed trades plus any active positions, providing volume assessment for statistical significance of other metrics
5/ Wins/Losses: Shows the raw count of profitable versus unprofitable trades, offering immediate insight into strategy effectiveness frequency
6/ Win Rate: Reveals the percentage of successful trades, where values above 50% generally indicate effective entry timing and values below suggest strategy refinement needs
7/ Total R-Multiple: Displays cumulative risk-reward performance across all trades, with positive values demonstrating profitable system operation and negative values indicating net losses requiring analysis
8/ Average R Win/Loss: Shows average risk-reward ratios for winning and losing trades separately, where winning averages approaching the configured take profit ratio indicate minimal slippage impact while losing averages near -1.0 suggest effective stop loss execution
9/ TP Ratio / Slippage: Displays the configured take profit ratio and slippage settings with calculated performance impact, showing how execution costs affect actual versus theoretical returns
10/ Profit Factor: Calculates the ratio of total winning amounts to total losing amounts, where values above 1.5 suggest robust profitability, values between 1.0-1.5 indicate modest success, and values below 1.0 show net losses
11/ Maximum Drawdown: Tracks the largest peak-to-trough decline in R-multiple terms, with smaller negative values indicating better capital preservation and risk control during losing streaks
🟢 How to Use
Start by applying the indicator to your chart and observe its performance across different market conditions to understand how it identifies bias direction and POI formations. Then navigate to the settings panel to configure the Bias Timeframe Multiplier for trend context sensitivity and POI Timeframe Multiplier for structural analysis frequency according to your trading preference and objectives.
Next, fine-tune the EMA periods in Bias Settings to control trend detection sensitivity and select your preferred POI types based on your analytical preference. Proceed to configure your Risk Management approach by selecting from the available stop loss calculation methods and setting the Take Profit ratio that aligns with your risk tolerance and profit objectives. Complete the setup by customizing Display Settings to control table visibility and trade visualization elements, adjusting UI positioning and colors for optimal chart readability, then activate Alert Conditions for automated notifications on trade entries, exits, and bias direction changes to support systematic trade management.
🟢 Examples
OANDA:XAUUSD
CME_MINI:MES1!
CME_MINI:ES1!
CME_MINI:MNQ1!
CBOT_MINI:YM1!
BYBIT:BTCUSDT.P
BINANCE:SOLUSD
*Disclaimer: Past performance is not indicative of future results. None of our statements, claims, or signals from our indicators are intended to be financial advice. All trading involves substantial risk of loss, not just upside potential. Users are highly recommended to carefully consider their financial situation and risk tolerance before trading.
RSI Extreme Hit Tracker (Visual Enhanced + Stats)📊 Indicator Overview
🔥 RSI Extreme Hit Tracker – Visual Enhanced + Stats Edition
A high-precision momentum tracker designed for traders who want maximum insight into RSI behavior at extreme thresholds.
🧠 What It Tracks
This indicator doesn’t just alert you when RSI enters ultra-overbought or ultra-oversold zones—it actively logs, analyzes, and visualizes how price reacts during those periods.
It tracks:
- OB/OS HOLD Events: When RSI enters and stays in extreme zones for a customizable bar count
- OB/OS EXIT Events: When RSI retreats from extremes via hysteresis logic for adaptive confirmation
- Entry Alerts: Based on four modes (Basic, Cool-down, Confirmed, or Hysteresis)
- Tier Markers: Emoji-based tier tags to classify signal impact instantly on chart
- Background Tints: When OB/OS zones are active, for clear visual context
📈 Statistical Table
On every final bar, a clean table appears in the top-right corner showing:
- Count of OB/OS events (Hold & Exit)
- Total % move across all signals
- Average % move per signal
- Easy-to-skim P&L performance stats
🎛️ Configurable Features
🔄 Cool-down Periods: Prevent rapid-fire alerts after consecutive hits
🔍 Confirmed Entries: Require two-bar RSI zone confirmation before firing
🧪 Hysteresis Logic: Avoid false exits by confirming RSI decay before logging
📏 Custom Thresholds: Adjust OB/OS entry levels, exit hysteresis, and hold duration
🎨 Visual Feedback: Triangle, X-cross, and circle shapes with color-coded tier labels (🟩 🟨 🟦 🟥)
💡 Ideal Use Cases
- Reversal traders looking to time exhaustion and RSI flips
- Scalpers and momentum riders wanting sharp entry/exit maps
- Coders refining algorithms using historical signal behavior
- Analysts exploring data-driven signal statistics over time
Mean Reversion Multi IFVG strategy - QuantShokThe Mean Reversion Multi IFVG strategy, gives you entries when liquidity has been swept and a IFVG has been formed and retested. Based off of ICT this indicates a strong reversal, which is what the strategy capitalizes on. The indicator will plot out CTF, 2m, 3m, and 5m IFVGs that have been tested as a support or resistance after a sweep. It is best too use a entry too target unmitigated PD arrays or untapped liquidity. This indicator is intended for the nasdaq but do with it as you wish, additionally it is very customizable the default setting are recommended.
Low Price RSI CrossoverThis Pine Script indicator is a Multi-Timeframe Low RSI Crossover system that combines three key filtering criteria to identify high-probability buy signals. Here's what it does:
Core Concept
The indicator only generates buy signals when all three conditions are met simultaneously:
Price at Multi-Period Low: Current price must be at or near the lowest point within your selected timeframe (1 week to 5 years, or custom)
RSI Momentum Shift: The smoothed RSI must cross above its signal line (EMA), indicating upward momentum
Below Threshold Entry: Both the RSI and its signal line must be below your threshold level (default 50) when the crossover occurs
Key Features
RSI Smoothing: Uses Hull Moving Average (HMA) to smooth the raw RSI, reducing noise and false signals while maintaining responsiveness.
Flexible Timeframes: Choose from predefined periods (1W, 2W, 3W, 1M, 2M, 3M, 6M, 9M, 1Y, 2Y, 3Y, 5Y) or set a custom number of bars.
Visual Feedback:
Plots the smoothed RSI (blue line) and its signal line (red line)
Shows threshold and overbought levels
Highlights signal bars with green background
Displays tiny green triangles at signal points
Real-time status table showing all conditions
Trading Logic
This is essentially a mean-reversion strategy that waits for:
Price to reach significant lows (value zone)
Momentum to start shifting upward (RSI crossover)
Entry from oversold/neutral territory (below 50 RSI)
Why This Works
By requiring price to be at multi-period lows, you avoid buying during downtrends or sideways chop. The RSI crossover confirms that selling pressure is starting to ease, while the threshold filter ensures you're not buying into overbought conditions.
The combination of these filters should significantly reduce false signals compared to using any single indicator alone.
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EMAs + LSMA Cross Alert (Mejorado)his indicator is designed to identify buy and sell signals based on the behavior of multiple exponential moving averages (EMAs) and a Least Squares Moving Average (LSMA). It includes 5 EMAs and one LSMA, with visual and alert features.
📌 Components:
EMA 4 (purple)
EMA 9 (Fuchsia)
EMA 21 (blue)
EMA 50 (Green)
EMA 200 (maroon)
LSMA 30 (Orange)
🔍 Signal Logic:
✅ Buy Signal:
The LSMA (30) must be below both EMA 4 and EMA 9.
A bullish crossover occurs: EMA 4 crosses above EMA 9.
Only one signal is triggered per crossover, avoiding repeated alerts during trend continuation.
❌ Sell Signal:
The LSMA (30) must be above both EMA 4 and EMA 9.
A bearish crossover occurs: EMA 4 crosses below EMA 9.
Only one signal is triggered per crossover, avoiding repeated alerts during trend continuation.
🖥️ Visual Features:
Option to show/hide each EMA and the LSMA.
Buy/Sell markers appear at cross points.
A white background highlight marks the candle where the signal occurs (optional).
Visuals scale dynamically with the chart zoom and axes.
🔔 Alerts:
Custom alert conditions for Buy and Sell.
Alerts can trigger push notifications to the TradingView mobile app, email, or webhook.
Configured to avoid repeating alerts unless the trend resets and a new valid crossover occurs.
Dual SuperTrend Flip SignalsSignal Generation
Buy Signals:
A buy signal is generated for each SuperTrend when:
The SuperTrend flips from a downtrend to an uptrend.
The closing price is above the EMA.
There is a volume spike (as defined by volMultiplier).
Sell Signals:
A sell signal is generated for each SuperTrend when:
The SuperTrend flips from an uptrend to a downtrend.
The closing price is below the EMA.
There is a volume spike.
Visuals
SuperTrend 1 (Green/Red): Plotted in lime for an uptrend and red for a downtrend.
SuperTrend 2 (Teal/Fuchsia): Plotted in teal for an uptrend and fuchsia for a downtrend.
EMA Filter (Orange): The Exponential Moving Average is plotted in orange.
Buy 1 (Green Label Up): A green "BUY 1" label appears below the bar when SuperTrend 1 generates a buy signal.
Sell 1 (Red Label Down): A red "SELL 1" label appears above the bar when SuperTrend 1 generates a sell signal.
Buy 2 (Blue Label Up): A blue "BUY 2" label appears below the bar when SuperTrend 2 generates a buy signal.
Sell 2 (Purple Label Down): A purple "SELL 2" label appears above the bar when SuperTrend 2 generates a sell signal.
Potential Uses
This indicator can be used by traders to:
Identify Trend Reversals: The SuperTrend flips, combined with the EMA and volume filters, can help spot potential changes in market direction.
Confirm Breakouts: A volume spike accompanying a SuperTrend flip can add conviction to breakout strategies.
Filter Out Noise: The dual SuperTrends with different sensitivities and the EMA help to reduce false signals.
Develop Trading Strategies: The explicit buy/sell signals can be incorporated into automated or discretionary trading systems.
FinhedgesFinhedges is a professional-grade trend analysis tool designed for precision trading. Built for traders who demand clarity, accuracy, and reliability, this indicator empowers users with real-time market insights while maintaining a clean and user-friendly visual interface.
✅ Key Features:
📈 Advanced Trend Detection: Accurately identifies prevailing market trends to guide directional bias.
🟢🔴 Intelligent Signal System: Displays high-quality Buy and Sell signals optimized for both swing and intraday trading.
🧠 Smart Filtering Logic: Reduces noise and false signals for higher conviction entries.
📊 Customizable Trend Line: Visualizes trend direction clearly across all timeframes.
⏰ Built-in Alerts: Real-time notifications so you never miss a key opportunity.
📋 Optional Market Status Table: Provides a quick overview of trend and price data directly on the chart.
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.
***FOREX PILOT PRO STRATEGY INVITE SCRIPT***This Script Is Purely Created For Forex Trading XAUUSD Pair In 3 Mins Time Frame. This Script Tells When To Buy And Sell With Stop Loss, Take Profit Levels 1, 2 & 3.
SAPMA_BANDLARI_MÜCAHİD_ATAOGLUThis “Advanced Deviation Bands” indicator is designed as an all-in-one trading toolkit that:
Calculates a Flexible Base Average
User-selectable type (HMA, EMA, WMA, VWMA, LWMA) and length.
Optionally uses the price source itself as the “average” input.
Builds ±1σ to ±5σ Deviation Bands
Measures deviation of price vs. the base average, cleans out extreme outliers, and applies a weighted moving average to smooth.
Computes standard deviation on that cleaned series and multiplies by the base average to get dynamic σ values.
Plots five upper and five lower bands around the adjusted average.
Rich Visual & Layout Controls
Neon-style colors for each band, configurable thickness and label size.
Optional gradient fills between bands.
Background shading for “Normal,” “Oversold” (price < –3σ) and “Overbought” (price > +3σ) regions.
Dynamic labels at chart edge marking each σ level and zone names (e.g. “NORMAL,” “DİKKAT,” “TEHLİKE,” etc.).
Smart Signal Generation with Risk Management
Buy when price dips below –3σ and momentum (RSI 14, MACD) & trend (50 EMA vs. 200 EMA) filters pass.
Sell when price exceeds +3σ with analogous momentum/trend checks.
Automatically records entry price and draws corresponding Stop Loss and Take Profit levels based on user-set percentages (e.g. 2 % SL, 4 % TP).
Clears the entry when SL or TP is hit.
Momentum & Trend Analysis
RSI and MACD measure momentum strength/weakness.
EMA50 vs. EMA200 define overall uptrend or downtrend.
On-Chart Info Table & Alerts
Shows current price, RSI, trend direction, distance to ±3σ in %, a “Risk Level” (Low/Medium/High), and composite “Signal Strength” score.
Alert conditions for buy/sell triggers and critical ±4σ breaks.
Purpose
To combine statistical price dispersion (σ-bands), momentum, trend direction, and built-in trade management—delivering visually striking, rule-based entry/exit signals with stop loss, take profit, and clear risk assessment, all in one indicator.
RANGE_MÜCAHİD_ATAOGLUThis comprehensive Pine Script v6 indicator combines several analysis layers and alert systems:
Backtest Time Filter
Allows you to specify a start/end date (month, day, year) for plotting and signal generation.
Range Filter
Smooths price via an EMA-based “range” band (configurable period & multiplier).
Plots the filter line and upper/lower bands with dynamic coloring to show trend strength.
Generates breakout signals only on the first candle after a trend change (longCondition1 / shortCondition1).
Webhook Integration (3Commas)
Customizable text messages for opening/closing long and short positions via webhooks.
Exhaustion (“Tükenmişlik”) Levels
Detects overextended moves by counting consecutive bars and checking swing highs/lows.
Plots support/resistance exhaustion lines on the current and (optionally) higher timeframe.
Identifies “super” signals when both current and higher timeframe exhaustion align.
MESA Moving Average (optional)
Implements the Mesa Adaptive Moving Average (MAMA & FAMA) on the current or higher timeframe.
Can color bars or overlay lines to visualize adaptive trend.
WaveTrend Oscillator
Calculates WaveTrend channels and moving averages on chosen source and timeframe.
Configurable overbought/oversold thresholds at three sensitivity levels.
Emits level-3 reversal signals when WT lines cross in extreme zones.
Combination Signals
“Combo” buy/sell markers (⭐/💥) and alert conditions when Range Filter and WaveTrend level-3 coincide.
Alert System
Multiple alertcondition definitions with Turkish titles & messages for:
Range Filter entries/exits
Strong WaveTrend reversals
Combo signals
Group alerts covering any signal type
Xcalibur Signals & Alerts [AlgoXcalibur]An advanced trend-following algorithm forged to empower retail traders with an edge.
Xcalibur Signals & Alerts is a sophisticated, multi-layered algorithm designed to consistently deliver real-time trend signals—without clutter or unnecessary complexity. The system combines refined trend-following logic with breakout detection, flat-market filtration, false signal failsafes, take profit cues, live alerts, and more — all in a visually simple, easy-to-use indicator built for all assets, timeframes, and market conditions.
🧠 Algorithm Logic
Xcalibur Signals & Alerts operates on a systematic framework that evaluates multiple technical dimensions in harmony—directional alignment, momentum confirmation, relative strength, volume bias, breakout detection, Fibonacci calculations, and more. Rather than reacting to isolated triggers, it filters every opportunity through a multi-layered confirmation engine. It doesn’t just react to every move—it evaluates them. This cohesive approach ensures that each signal results from aligned conditions—not arbitrary thresholds. By combining structural awareness with adaptive filtering, Xcalibur maintains clarity and consistency across a wide range of market environments—delivering actionable signals without unnecessary noise or lag.
⚙️ User-Adjustable Features
• Adjustable Sensitivity:
Choose from 5 pre-tuned Signal Trigger Settings and 3 dynamic Confirmation Filter Modes to tailor the system to your trading style, asset, and timeframe. Candle color reflects the active trigger condition, while an adaptive cyan line displays the selected Confirmation Filter—blocking signals until the filter threshold is crossed.
• Directional Stability Filter: When enabled, this filter uses mean-reversion calculations to determine directional bias and block unreliable signals during choppy, indecisive price action. A magenta line represents this filter threshold and provides higher-confidence signals during periods of low directional conviction.
• Pullback Allowance Filter:
When enabled, this unique filter uses Fibonacci ratios to deliberately block signals from temporary pullbacks during strong trend periods. A green (uptrend) or red (downtrend) line marks the active pullback allowance zone.
• False Signal Failsafe
:
Two selectable modes:
Simple — Cancels the signal if price breaks the signal candle’s high or low.
Advanced — Requires both a price break and opposing momentum confirmation.
When triggered, the system plots a white “X” signal, turns candles gray, disables the background color, sends an alert (if enabled), and enters standby mode until a valid trend condition re-emerges.
• Reaction Zones:
Identifies probable reversal or breakout zones based on recent price action patterns. A yellow line appears when active, with a yellow caution flag plotted if the price reaches this critical area.
• Take-Profit Cues
: Automatically detects potential trend exhaustion using price action structure and momentum shifts. When triggered, a visual “TP” marker is plotted—advising traders to manage profits or prepare for a possible reversal.
• Trailing Stop:
Plots a dynamic, percentage-based trailing stop or trailing take-profit using your selected input. Adjust it to suit your risk tolerance and asset.
• Multi-Timeframe Monitor
: Displays real-time trend direction across 1m, 2m, 5m, 15m, 1H, 4H, and 1D timeframes in a compact, easy-to-read table.
• Alert System
:
Receive desktop and/or mobile alerts for:
* New trend signals
* Failsafe triggers
* 9:00 AM Morning Greeting messages with auto re-arming confirmation
(Alerts are limited to 9:00 AM – 4:00 PM Eastern Time)
• SuperCandles
: Highlights strong momentum moves with a stunning and easily recognizable glow effect.
• Color-Coded Candles & Background
: Candles reflect the current trigger condition, while the background tint tracks the most recent trend—enhancing situational awareness.
*All input settings include tooltips to guide users through setup and interpretation.
⚔️ Not Just Another Signal Tool
Xcalibur Signals & Alerts was built from the ground up to empower retail traders with access to a cohesive, structured algorithmic system—one that reflects the kind of awareness, discipline, and market adaptability found in professional-grade algorithms.
This is not another oversensitive or under-responsive signal indicator that is limited to one specific type of market condition or trader. It does not utilize hyperactive triggers, rely on lagging crossover logic, or need infinitely adjustable and complex sensitivity settings. Instead of cluttered visuals to interpret, this indicator delivers a simple, easy-to-use tool—prioritizing clarity and usability without compromising on depth and sophistication.
Whether the market is trending, breaking out, or moving sideways, Xcalibur adapts—prioritizing trend stability, directional integrity, and visual clarity from one signal to the next.
⚠️ While the Xcalibur Signals & Alerts algorithm is immune to human emotion, you are not. Be mindful not to fall victim to costly emotions that can manipulate your judgment, and understand the unpredictable and complex nature of trading. No algorithm, strategy, or technique can deliver perfect accuracy, and Xcalibur Signals & Alerts is no exception. While AlgoXcalibur strives to be as accurate as possible, incorrect signals can and will occur. Xcalibur Signals & Alerts is a tool, not a guarantee. Users are fully responsible for making their own trading decisions, implementing proper risk management, and always trading responsibly.
🛡️ Wield Xcalibur as a standalone weapon or use it alongside other tools.
🔐 To get access or learn more, visit the Author’s Instructions section.
PRO Investing - Apex Engine FREE VERSION🧠 The Apex Engine: True Self-Tuning Intelligence
The biggest flaw in most indicators is that they rely on fixed settings. The Apex Engine solves this with two layers of adaptation:
Fully Auto-Adjustable Parameters: The engine first analyzes the volatility of the asset on your chart to derive its own optimal "Fast," "Mid," and "Slow" momentum lengths. You never have to guess settings again—it tunes itself for any instrument and timeframe.
Performance-Based Selection: It then uses statistical correlation to constantly measure which of its auto-tuned parameters is most in-sync with recent price action. It deploys the "winning" engine to generate signals, ensuring you're always using the most relevant analysis.
🎨 An All-in-One, Unified View
We've engineered this script to deliver maximum information with minimum clutter, all within a single indicator.
High-Confluence Buy/Sell Signals (▲/▼): Clear triangles appear directly on your chart. These are not simple crossovers; a signal is only plotted if it aligns with the dominant trend (above/below the 200MA) and the market is not choppy (ADX > 20).
Compact Oscillator Display: A "lite" version of the oscillator is displayed in a compact panel at the bottom of your price chart, showing the active Velocity line and its signal.
Transparent Dashboard: A small table in the corner shows you the engine's "brain" at work, displaying the real-time correlation scores and highlighting the active parameter.
Smart Background Coloring: The entire chart background changes color to give you immediate context:
🟩 Green: Bullish trend, favorable conditions for buys.
🟥 Red: Bearish trend, favorable conditions for sells.
⬛ Gray: Caution zone. Market is choppy or counter-trend.
This tool is designed to be the ultimate all-in-one solution for traders who value automation, clarity, and adaptive analysis.
If you find this indicator powerful, please leave a Boost 👍 and Follow our Profile for more professional-grade tools.
Disclaimer: All indicators are for analytical and educational purposes only. Trading involves significant risk. Always use your own judgment and risk management.
Momentum Trail Oscillator [AlgoAlpha]🟠 OVERVIEW
This script builds a Momentum Trail Oscillator designed to measure directional momentum strength and dynamically track shifts in trend bias using a combination of smoothed price change calculations and adaptive trailing bands. The oscillator aims to help traders visualize when momentum is expanding or contracting and to identify transitions between bullish and bearish conditions.
🟠 CONCEPTS
The core idea combines two methods. First, the script calculates a normalized momentum measure by smoothing price changes relative to their absolute values, which creates a bounded oscillator that highlights whether moves are directional or choppy. Second, it uses a trailing band mechanism inspired by volatility stops, where bands adapt to the oscillator’s volatility, adjusting the thresholds that define a shift in directional bias. This dual approach seeks to address both the magnitude and persistence of momentum, reducing false signals in ranging markets.
🟠 FEATURES
The momentum calculation applies Hull Moving Averages and double EMA smoothing to price changes, producing a smooth, responsive oscillator.
The trailing bands are derived by offsetting a weighted moving average of the oscillator by a multiple of recent momentum volatility. A directional state variable tracks whether the oscillator is above or below the bands, updating when the momentum crosses these dynamic thresholds.
Overbought and oversold zones are visually marked between fixed levels (+30/+40 and -30/-40), with color fills to highlight when momentum is in extreme areas. The script plots signals on both the oscillator pane and optionally overlays markers on the main price chart for clarity.
🟠 USAGE
To use the indicator, apply it to any symbol and timeframe. The “Oscillator Length” controls how sensitive the momentum line is to recent price changes—lower values react faster, higher values smooth out noise. The “Trail Multiplier” sets how far the adaptive bands sit from the oscillator mid-line, which affects how often trend state changes occur. When the momentum line rises into the upper filled area and then crosses back below +40, it signals potential overbought exhaustion. The opposite applies for the oversold zone below -40. The plotted trailing bands switch visibility depending on the current directional state: when momentum is trending up, the lower band acts as the active trailing stop, and when trending down, the upper band becomes active. Trend changes are marked with circular symbols when the direction variable flips, and optional overlay arrows appear on the price chart to highlight overbought or oversold reversals. Traders can combine these signals with their own price action or volume analysis to confirm entries or exits.
Global Risk Matrix [QuantAlgo]🟢 Overview
The Global Risk Matrix is a comprehensive macro risk assessment tool that aggregates multiple global financial indicators into a unified risk sentiment framework. It transforms diverse economic data streams (from currency strength and liquidity measures to volatility indices and commodity prices) into standardized Z-Score readings to identify market regime shifts across risk-on and risk-off conditions.
The indicator displays both a risk oscillator showing weighted average sentiment and a dynamic 2D matrix visualization that plots signal strength against momentum to reveal current market phase and historical evolution. This helps traders and investors understand broad market conditions, identify regime transitions, and align their strategies with prevailing macro risk environments across all asset classes.
🟢 How It Works
The indicator employs Z-Score normalization across various global macro components, each representing distinct aspects of market liquidity, sentiment, and economic health. Raw data from sources like DXY, S&P 500, Fed liquidity, global M2 money supply, VIX, and commodities undergoes statistical standardization. Several components are inverted (USDT.D, DXY, VIX, credit spreads, treasury bonds, gold) to align with risk-on interpretation, where positive values indicate bullish conditions.
This unique system applies configurable weights to each component based on selected asset class presets (Crypto Investor/Trader, Stock Trader, Commodity Trader, Forex Trader, Risk Parity, or Custom), creating a weighted average Z-Score. It then analyzes both signal strength and momentum direction to classify market conditions into four distinct phases: Risk-On (positive signal, rising momentum), Risk-Off (negative signal, falling momentum), Recovery (negative signal, rising momentum), and Weakening (positive signal, falling momentum). The 2D matrix visualization plots these dimensions with historical trail tracking to show regime evolution over time.
🟢 How to Use
1. Risk Oscillator Interpretation and Phase Analysis
Positive Territory (Above Zero) : Indicates risk-on conditions with capital flowing toward growth assets and higher risk tolerance
Negative Territory (Below Zero) : Signals risk-off sentiment with capital seeking safety and defensive positioning
Extreme Levels (±2.0) : Represent statistically significant deviations that often precede regime reversals or trend exhaustion
Zero Line Crosses : Mark critical transitions between risk regimes, providing early signals for portfolio rebalancing
Phase Color Coding : Green (Risk-On), Red (Risk-Off), Blue (Recovery), Yellow (Weakening) for immediate regime identification
2. Risk Matrix Visualization and Trail Analysis
Current Position Marker (⌾) : Shows real-time location in the risk/momentum space for immediate situational awareness
Historical Trail : Connected path showing recent market evolution and regime transition patterns
Quadrant Analysis : Risk-On (upper right), Risk-Off (lower left), Recovery (lower right), Weakening (upper left)
Trail Patterns : Clockwise rotation typically indicates healthy regime cycles, while erratic movement suggests uncertainty
3. Pro Tips for Trading and Investing
→ Portfolio Allocation Filter : Use Risk-On phases to increase exposure to growth assets, small caps, and emerging markets while reducing defensive positions during confirmed green phases
→ Entry Timing Enhancement : Combine Recovery phase signals with your technical analysis for optimal long entry points when macro headwinds are clearing but prices haven't fully recovered
→ Risk Management Overlay : Treat Weakening phase transitions as early warning systems to tighten stop losses, reduce position sizes, or hedge existing positions before full Risk-Off conditions develop
→ Sector Rotation Strategy : During Risk-On periods, favor cyclical sectors (technology, consumer discretionary, financials) while Risk-Off phases favor defensive sectors (utilities, consumer staples, healthcare)
→ Multi-Timeframe Confluence : Use daily matrix readings for strategic positioning while applying your regular technical analysis on lower timeframes for precise entry and exit execution
→ Divergence Detection : Watch for situations where your asset shows bullish technical patterns while the matrix shows Risk-Off conditions—these often provide the highest probability short opportunities and vice versa
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.
Expanded Cloud [LuxAlgo]The Expanded Cloud tool allows traders to identify and follow trends accurately. It is based on the well-known Donchian Channels, but with enhanced features.
It features a trailing cloud that expands with the price and a trading stats dashboard.
🔶 USAGE
The tool is super easy to use. Traders can identify bigger or smaller trends just by adjusting the length from the settings panel.
Trend identification is based on Donchian Channels. An uptrend is indicated when the cloud is located below the price, while a downtrend is indicated when the cloud is above it.
Dots signal the start of a new trend, and the width of the clouds identifies the strength of the price expansion. The wider the cloud, the bigger the move.
The expanded cloud, due to its visual, can also act as a trailing stop.
🔹 Trend Identification
As we can see in the chart above, different length values identify different trends on the same BTC daily chart. Larger values identify larger trends.
🔹 Cloud Expansion
From the settings panel, traders can adjust how the clouds expand based on the Expansion % parameter. It accepts values from 0 to 100, which controls how much of the expansion is taken into account. Higher values will make the cloud expand and get closer to the price faster.
When the cloud moves opposite to the direction of the indicated trend (e.g: the cloud decreases while being below the price), it is often indicative of the end of a retracement, and we can expect the price to move with the indicated trend.
The chart above shows the effect of different Expansion % values.
🔹 Dashboard
The trading statistics dashboard informs traders of key metrics derived from the tool. The following are notable:
PNL: Theoretical profit or loss from all trends identified by the tool in the right scale units.
EXPECT.: Expected value of each trade. It is derived from win rate and risk-to-reward metrics.
AVG: 1st TOUCH: The average number of bars from the beginning of a new trend until the price touches the cloud for the first time.
🔶 SETTINGS
Length: Length for trend detection
Expansion %: Percentage of price expansion for cloud formation
Source: Source of the data
🔹 Dashboard
Show Dashboard: Enable/disable the statistics dashboard
Location: Dashboard location
Size: Dashboard size
