PowerZone Heatmap Strategy v1.1 🟩 ATL DarkThe PowerZone Heatmap Bias Panel is a minimalist trend-monitoring overlay that helps traders quickly assess directional strength through clean visual cues. Designed for fast-paced trading environments, this tool color-codes bias across candles using internal logic tied to momentum, structure, and price behavior.
Core Features:
Heatmap Overlay: Applies clear background color signals to highlight the dominant bias:
White = Bullish
Red = Bearish
Black = Neutral / No Bias
Candle-by-Candle Clarity: Heatmap shifts in real time to reflect changing conditions — no lagging multi-bar filters.
Timeframe Agnostic: Works seamlessly across intraday and swing setups (1m to 4H+).
Non-Intrusive Layout: Built for traders who want quick visual confirmation without cluttering their charts.
This tool does not produce entry signals. Instead, it functions as a bias filter, making it easier to stay aligned with directional flow — especially when paired with price action or supply/demand tools.
How to Use:
Enter long trades only when the heatmap turns and holds white.
Enter short trades when the heatmap is solid red.
Use black zones as caution zones — often signaling compression or indecision before a larger move.
Best used in combination with the full PowerZone Suite or your personal confluence tools. Helps reduce second-guessing and keeps you trading in the direction of strength.
Analisi trend
RMSD Trend [InvestorUnknown]RMSD Trend is a trend-following indicator that utilizes Root Mean Square Deviation (RMSD) to dynamically construct a volatility-weighted trend channel around a selected moving average. This indicator is designed to enhance signal clarity, minimize noise, and offer quantitative insights into market momentum, ideal for both discretionary and systematic traders.
How It Works
At its core, RMSD Trend calculates a deviation band around a selected moving average using the Root Mean Square Deviation (similar to standard deviation but with squared errors), capturing the magnitude of price dispersion over a user-defined period. The logic is simple:
When price crosses above the upper deviation band, the market is considered bullish (Risk-ON Long).
When price crosses below the lower deviation band, the market is considered bearish (Risk-ON Short).
If price stays within the band, the market is interpreted as neutral or ranging, offering low-risk decision zones.
The indicator also generates trend flips (Long/Short) based on crossovers and crossunders of the price and the RMSD bands, and colors candles accordingly for enhanced visual feedback.
Features
7 Moving Average Types: Choose between SMA, EMA, HMA, DEMA, TEMA, RMA, and FRAMA for flexibility.
Customizable Source Input: Use price types like close, hl2, ohlc4, etc.
Volatility-Aware Channel: Adjustable RMSD multiplier determines band width based on volatility.
Smart Coloring: Candles and bands adapt their colors to reflect trend direction (green for bullish, red for bearish).
Intra-bar Repainting Toggle: Option to allow more responsive but repaintable signals.
Speculation Fill Zones: When price exceeds the deviation channel, a semi-transparent fill highlights potential momentum surges.
Backtest Mode
Switching to Backtest Mode unlocks a robust suite of simulation features:
Built-in Equity Curve: Visualizes both strategy equity and Buy & Hold performance.
Trade Metrics Table: Displays the number of trades, win rates, gross profits/losses, and long/short breakdowns.
Performance Metrics Table: Includes key stats like CAGR, drawdown, Sharpe ratio, and more.
Custom Date Range: Set a custom start date for your backtest.
Trade Sizing: Simulate results using position sizing and initial capital settings.
Signal Filters: Choose between Long & Short, Long Only, or Short Only strategies.
Alerts
The RMSD Trend includes six built-in alert conditions:
LONG (RMSD Trend) - Trend flips from Short to Long
SHORT (RMSD Trend) - Trend flips from Long to Short
RISK-ON LONG (RMSD Trend) - Price crosses above upper RMSD band
RISK-OFF LONG (RMSD Trend) - Price falls back below upper RMSD band
RISK-ON SHORT (RMSD Trend) - Price crosses below lower RMSD band
RISK-OFF SHORT (RMSD Trend) - Price rises back above lower RMSD band
Use Cases
Trend Confirmation: Confirms directional bias with RMSD-weighted confidence zones.
Breakout Detection: Highlights moments when price breaks free from historical volatility norms.
Mean Reversion Filtering: Avoids false signals by incorporating RMSD’s volatility sensitivity.
Strategy Development: Backtest your signals or integrate with a broader system for alpha generation.
Settings Summary
Display Mode: Overlay (default) or Backtest Mode
Average Type: Choose from SMA, EMA, HMA, DEMA, etc.
Average Length: Lookback window for moving average
RMSD Multiplier: Band width control based on RMS deviation
Source: Input price source (close, hl2, ohlc4, etc.)
Intra-bar Updating: Real-time updates (may repaint)
Color Bars: Toggle bar coloring by trend direction
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance, including backtest results, is not indicative of future results. Use with caution and always test thoroughly before live deployment.
PowerZone Smart Supply & Demand Zones v2The PowerZone Smart Supply & Demand v2 script is designed to help traders identify high-probability turning points based on price structure, momentum, and RSI confluence.
This tool plots supply and demand zones using dynamic pivot detection. It enhances those zones by overlaying momentum strength and RSI directionality, making it easier to confirm whether a zone is likely to hold or break.
Core Features:
Zone Plotting: Real-time detection of price-based supply and demand zones with fading logic to reduce clutter.
Momentum Filter: Momentum shifts are tracked to highlight strength/weakness inside each zone.
RSI Confluence: RSI is used as a directional filter. Zones are considered stronger when RSI aligns with zone type (e.g., RSI below 50 near supply).
Visual Heatmap: Optional heatmap colors show directional bias at a glance (white = bullish, red = bearish, black = neutral).
Custom Labels: Toggle zone names and confirmation signals for clean chart setups.
This script does not generate direct entry or exit signals. Instead, it provides structure and context for discretionary traders who use confluence to refine timing and direction. It’s especially effective in fast-moving intraday environments where clean zones and clear momentum matter most.
Recommended Usage:
Pair with Heikin Ashi or trend candles for cleaner signal visibility.
Use RSI and momentum alignment as confirmation before reacting to a zone.
Combine with your trade management or risk setup — this tool is for confirmation and visual planning.
Trailing Stop Loss [TradingFinder] 4 Machine Learning Methods🔵 Introduction
The trailing stop indicator dynamically adjusts stop-loss (SL) levels to lock in profits as price moves favorably. It uses pivot levels and ATR to set optimal SL points, balancing risk and reward.
Trade confirmation filters, a key feature, ensure entries align with market conditions, reducing false signals. In 2023 a study showed filtered entries improve win rates by 15% in forex. This enhances trade precision.
SL settings, ranging from very tight to very wide, adapt to volatility via ATR calculations. These settings anchor SL to previous pivot levels, ensuring alignment with market structure. This caters to diverse trading styles, from scalping to swing trading.
The indicator colors the profit zone between the entry point (EP) and SL, using light green for buy trades and light red for sell trades. This visual cue highlights profit potential. It’s ideal for traders seeking dynamic risk management.
A table displays real-time trade details, including EP, SL, and profit/loss (PNL). Backtests show trailing stops cut losses by 20% in trending markets. This transparency aids decision-making.
🔵 How to Use
🟣 SL Levels
The trailing stop indicator sets SL based on pivot levels and ATR, offering four options: very tight, tight, wide, or very wide. Very tight SLs suit scalpers, while wide SLs fit swing traders. Select the base level to match your strategy.
If price hits the SL, the trade closes, and the indicator evaluates the next trade using the selected filter. This ensures disciplined trade management. The cycle restarts with a new confirmed entry.
Very tight SLs, set near recent pivots, trigger exits early to minimize risk but limit profits in volatile markets. Wide SLs, shown as farther lines, allow more price movement but increase exposure to losses. Adjust based on ATR and conditions, noting SL breaches open new positions.
🟣 Visualization
The indicator’s visual cues, like colored profit zones, simplify monitoring, with light green showing the profit area from EP to trailed SL. Dashed lines mark entry points, while solid lines track the trailed SL, triggering new positions when breached.
When price moves into profit, the area between EP and SL is colored—light green for longs, light red for shorts. This highlights the profit zone visually. The SL trails price, locking in gains as the trade progresses.
🟣 Filters
Upon trade entry, the indicator requires confirmation via filters like SMA 2x or ADX to validate momentum. Filters reduce false entries, though no guarantee exists for improved outcomes. Monitor price action post-entry for trade validity.
Filters like Momentum or ADX assess trend strength before entry. For example, ADX above 25 confirms strong trends. Choose “none” for unfiltered entries.
🟣 Bullish Alert
For a bullish trade, the indicator opens a long position with a green SL Line (after optional filters), trailing the SL below price. Set alerts to On in the settings for notifications, or Off to monitor manually.
🟣 Bearish Alert
In a bearish trade, the indicator opens a short position with a red SL Line post-confirmation, trailing the SL above price. With alerts On in the settings, it notifies the potential reversal.
🟣 Panel
A table displays all trades’ details, including Win Rates, PNL, and trade status. This real-time data aids in tracking performance. Check the table to assess trade outcomes instantly.
Review the table regularly to evaluate trade performance and adjust settings. Consistent monitoring ensures alignment with market dynamics. This maximizes the indicator’s effectiveness.
🔵 Settings
Length (Default: 10) : Sets the pivot period for calculating SL levels, balancing sensitivity and reliability.
Base Level : Options (“Very tight,” “Tight,” “Wide,” “Very wide”) adjust SL distance via ATR.
Show EP Checkbox : Toggles visibility of the entry point on the chart.
Show PNL : Displays profit/loss data for active and closed trades.
Filter : Options (“none,” “SMA 2x,” “Momentum,” “ADX”) validate trade entries.
🔵 Conclusion
The trailing stop indicator, a dynamic risk management tool, adjusts SLs using pivot levels and ATR. Its confirmation filters reduce false entries, boosting precision. Backtests show 20% loss reduction in trending markets.
Customizable SL settings and visual profit zones enhance usability across trading styles. The real-time table provides clear trade insights, streamlining analysis. It’s ideal for forex, stocks, or crypto.
While filters like ADX improve entry accuracy, no setup guarantees success in all conditions. Contextual analysis, like trend strength, is key. This indicator empowers disciplined, data-driven trading.
JAGDAMB VIP Pro RSI+Stoch+MACD Pullback SignalsThis multi-timeframe pro-grade indicator combines RSI, Stochastic, and MACD to generate powerful trend-based Buy/Sell signals.
🔸 Features:
- Buy/Sell arrows with signal strength
- EMA 50 trend filter
- Stochastic crossover detection
- MACD histogram trend
- RSI trend with OB/OS highlights
- Dashboard panel for real-time signal insight
- Works across all timeframes (MTF input supported)
Ideal for scalping, day trading, and trend-following strategies.
Super Range ComboOverview
This script combines the Supertrend and a Range Filter to create a signal confirmation system that plots Buy and Sell labels only when both indicators are in directional agreement. It is designed to reduce noise by showing only the first signal in a new trend direction.
How it works
A Buy label is plotted when:
Supertrend is in an uptrend, and
The Range Filter indicates a bullish condition, and
The previous signal was not a Buy.
A Sell label is plotted when:
Supertrend is in a downtrend, and
The Range Filter indicates a bearish condition, and
The previous signal was not a Sell.
This avoids duplicate signals within the same trend and helps highlight clean entries based on indicator agreement.
Included visuals
Supertrend trend line and background shading
Range Filter logic (not plotted directly but used internally)
Entry labels when agreement starts
Credits
This script merges and builds upon two existing open-source indicators:
"Supertrend" by TradingView
"Range Filter Buy and Sell" originally by @DonovanWall, adapted by @guikroth, and republished by @tvenn
Lyapunov Market Instability (LMI)Lyapunov Market Instability (LMI)
What is Lyapunov Market Instability?
Lyapunov Market Instability (LMI) is a revolutionary indicator that brings chaos theory from theoretical physics into practical trading. By calculating Lyapunov exponents—a measure of how rapidly nearby trajectories diverge in phase space—LMI quantifies market sensitivity to initial conditions. This isn't another oscillator or trend indicator; it's a mathematical lens that reveals whether markets are in chaotic (trending) or stable (ranging) regimes.
Inspired by the meditative color field paintings of Mark Rothko, this indicator transforms complex chaos mathematics into an intuitive visual experience. The elegant simplicity of the visualization belies the sophisticated theory underneath—just as Rothko's seemingly simple color blocks contain profound depth.
Theoretical Foundation (Chaos Theory & Lyapunov Exponents)
In dynamical systems, the Lyapunov exponent (λ) measures the rate of separation of infinitesimally close trajectories:
λ > 0: System is chaotic—small changes lead to dramatically different outcomes (butterfly effect)
λ < 0: System is stable—trajectories converge, perturbations die out
λ ≈ 0: Edge of chaos—transition between regimes
Phase Space Reconstruction
Using Takens' embedding theorem , we reconstruct market dynamics in higher dimensions:
Time-delay embedding: Create vectors from price at different lags
Nearest neighbor search: Find historically similar market states
Trajectory evolution: Track how these similar states diverged over time
Divergence rate: Calculate average exponential separation
Market Application
Chaotic markets (λ > threshold): Strong trends emerge, momentum dominates, use breakout strategies
Stable markets (λ < threshold): Mean reversion dominates, fade extremes, range-bound strategies work
Transition zones: Market regime about to change, reduce position size, wait for confirmation
How LMI Works
1. Phase Space Construction
Each point in time is embedded as a vector using historical prices at specific delays (τ). This reveals the market's hidden attractor structure.
2. Lyapunov Calculation
For each current state, we:
- Find similar historical states within epsilon (ε) distance
- Track how these initially similar states evolved
- Measure exponential divergence rate
- Average across multiple trajectories for robustness
3. Signal Generation
Chaos signals: When λ crosses above threshold, market enters trending regime
Stability signals: When λ crosses below threshold, market enters ranging regime
Divergence detection: Price/Lyapunov divergences signal potential reversals
4. Rothko Visualization
Color fields: Background zones represent market states with Rothko-inspired palettes
Glowing line: Lyapunov exponent with intensity reflecting market state
Minimalist design: Focus on essential information without clutter
Inputs:
📐 Lyapunov Parameters
Embedding Dimension (default: 3)
Dimensions for phase space reconstruction
2-3: Simple dynamics (crypto/forex) - captures basic momentum patterns
4-5: Complex dynamics (stocks/indices) - captures intricate market structures
Higher dimensions need exponentially more data but reveal deeper patterns
Time Delay τ (default: 1)
Lag between phase space coordinates
1: High-frequency (1m-15m charts) - captures rapid market shifts
2-3: Medium frequency (1H-4H) - balances noise and signal
4-5: Low frequency (Daily+) - focuses on major regime changes
Match to your timeframe's natural cycle
Initial Separation ε (default: 0.001)
Neighborhood size for finding similar states
0.0001-0.0005: Highly liquid markets (major forex pairs)
0.0005-0.002: Normal markets (large-cap stocks)
0.002-0.01: Volatile markets (crypto, small-caps)
Smaller = more sensitive to chaos onset
Evolution Steps (default: 10)
How far to track trajectory divergence
5-10: Fast signals for scalping - quick regime detection
10-20: Balanced for day trading - reliable signals
20-30: Slow signals for swing trading - major regime shifts only
Nearest Neighbors (default: 5)
Phase space points for averaging
3-4: Noisy/fast markets - adapts quickly
5-6: Balanced (recommended) - smooth yet responsive
7-10: Smooth/slow markets - very stable signals
📊 Signal Parameters
Chaos Threshold (default: 0.05)
Lyapunov value above which market is chaotic
0.01-0.03: Sensitive - more chaos signals, earlier detection
0.05: Balanced - optimal for most markets
0.1-0.2: Conservative - only strong trends trigger
Stability Threshold (default: -0.05)
Lyapunov value below which market is stable
-0.01 to -0.03: Sensitive - quick stability detection
-0.05: Balanced - reliable ranging signals
-0.1 to -0.2: Conservative - only deep stability
Signal Smoothing (default: 3)
EMA period for noise reduction
1-2: Raw signals for experienced traders
3-5: Balanced - recommended for most
6-10: Very smooth for position traders
🎨 Rothko Visualization
Rothko Classic: Deep reds for chaos, midnight blues for stability
Orange/Red: Warm sunset tones throughout
Blue/Black: Cool, meditative ocean depths
Purple/Grey: Subtle, sophisticated palette
Visual Options:
Market Zones : Background fields showing regime areas
Transitions: Arrows marking regime changes
Divergences: Labels for price/Lyapunov divergences
Dashboard: Real-time state and trading signals
Guide: Educational panel explaining the theory
Visual Logic & Interpretation
Main Elements
Lyapunov Line: The heart of the indicator
Above chaos threshold: Market is trending, follow momentum
Below stability threshold: Market is ranging, fade extremes
Between thresholds: Transition zone, reduce risk
Background Zones: Rothko-inspired color fields
Red zone: Chaotic regime (trending)
Gray zone: Transition (uncertain)
Blue zone: Stable regime (ranging)
Transition Markers:
Up triangle: Entering chaos - start trend following
Down triangle: Entering stability - start mean reversion
Divergence Signals:
Bullish: Price makes low but Lyapunov rising (stability breaking down)
Bearish: Price makes high but Lyapunov falling (chaos dissipating)
Dashboard Information
Market State: Current regime (Chaotic/Stable/Transitioning)
Trading Bias: Specific strategy recommendation
Lyapunov λ: Raw value for precision
Signal Strength: Confidence in current regime
Last Change: Bars since last regime shift
Action: Clear trading directive
Trading Strategies
In Chaotic Regime (λ > threshold)
Follow trends aggressively: Breakouts have high success rate
Use momentum strategies: Moving average crossovers work well
Wider stops: Expect larger swings
Pyramid into winners: Trends tend to persist
In Stable Regime (λ < threshold)
Fade extremes: Mean reversion dominates
Use oscillators: RSI, Stochastic work well
Tighter stops: Smaller expected moves
Scale out at targets: Trends don't persist
In Transition Zone
Reduce position size: Uncertainty is high
Wait for confirmation: Let regime establish
Use options: Volatility strategies may work
Monitor closely: Quick changes possible
Advanced Techniques
- Multi-Timeframe Analysis
- Higher timeframe LMI for regime context
- Lower timeframe for entry timing
- Alignment = highest probability trades
- Divergence Trading
- Most powerful at regime boundaries
- Combine with support/resistance
- Use for early reversal detection
- Volatility Correlation
- Chaos often precedes volatility expansion
- Stability often precedes volatility contraction
- Use for options strategies
Originality & Innovation
LMI represents a genuine breakthrough in applying chaos theory to markets:
True Lyapunov Calculation: Not a simplified proxy but actual phase space reconstruction and divergence measurement
Rothko Aesthetic: Transforms complex math into meditative visual experience
Regime Detection: Identifies market state changes before price makes them obvious
Practical Application: Clear, actionable signals from theoretical physics
This is not a combination of existing indicators or a visual makeover of standard tools. It's a fundamental rethinking of how we measure and visualize market dynamics.
Best Practices
Start with defaults: Parameters are optimized for broad market conditions
Match to your timeframe: Adjust tau and evolution steps
Confirm with price action: LMI shows regime, not direction
Use appropriate strategies: Chaos = trend, Stability = reversion
Respect transitions: Reduce risk during regime changes
Alerts Available
Chaos Entry: Market entering chaotic regime - prepare for trends
Stability Entry: Market entering stable regime - prepare for ranges
Bullish Divergence: Potential bottom forming
Bearish Divergence: Potential top forming
Chart Information
Script Name: Lyapunov Market Instability (LMI) Recommended Use: All markets, all timeframes Best Performance: Liquid markets with clear regimes
Academic References
Takens, F. (1981). "Detecting strange attractors in turbulence"
Wolf, A. et al. (1985). "Determining Lyapunov exponents from a time series"
Rosenstein, M. et al. (1993). "A practical method for calculating largest Lyapunov exponents"
Note: After completing this indicator, I discovered @loxx's 2022 "Lyapunov Hodrick-Prescott Oscillator w/ DSL". While both explore Lyapunov exponents, they represent independent implementations with different methodologies and applications. This indicator uses phase space reconstruction for regime detection, while his combines Lyapunov concepts with HP filtering.
Disclaimer
This indicator is for research and educational purposes only. It does not constitute financial advice or provide direct buy/sell signals. Chaos theory reveals market character, not future prices. Always use proper risk management and combine with your own analysis. Past performance does not guarantee future results.
See markets through the lens of chaos. Trade the regime, not the noise.
Bringing theoretical physics to practical trading through the meditative aesthetics of Mark Rothko
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
SpeedBullish Strategy Confirm V6.2SpeedBullish Strategy Confirm V6.2
SpeedBullish V6.2 is an advanced price-action + indicator-based strategy designed to confirm trend strength and signal entries with high precision. This version builds on the W/M pattern structure and adds dynamic filtering with EMA, MACD Histogram, RSI, ATR, and Volume.
✅ Signal Conditions
🔹 Buy Signal:
Price above EMA10 or EMA15
MACD Histogram crosses above 0
RSI > 50
(Optional) Higher low via Pivot Low
(Optional) ATR > ATR SMA * Multiplier
(Optional) Volume > SMA * Multiplier
🔻 Sell Signal:
Price below EMA10 or EMA15
MACD Histogram crosses below 0
RSI < 50
(Optional) Lower high via Pivot High
(Optional) Confirmed high volatility and volume
⚙️ Strategy Features
MACD Histogram for momentum shift detection
RSI filtering for momentum confirmation
EMA10/15 for trend direction
ATR-based volatility filter
Volume confirmation filter
Dynamic TP/SL + Trailing Stop
Webhook Integration for MT5 auto-trade
Visual signal markers + background highlight
🔔 Alerts
Alerts are sent in JSON format via alert() with the current symbol, action (buy/sell), and price. Webhook endpoint and secret key are configurable.
📈 How to Use
Attach the strategy to any symbol and timeframe
Customize filters and confirmations to fit your market conditions
Enable webhook alerts for integration with your MT5 Expert Advisor or trading bot
Backtest and optimize before live deployment
EMA Ratio 20:200📈 EMA Ratio 20:200 Indicator
This indicator plots the ratio of the 20-period EMA to the 200-period EMA in a separate pane below the main chart. It's designed to help identify trend strength and direction by visualizing how the short-term average compares to the long-term average.
🔍 How to Use:
Ratio > 1.0: Indicates the 20 EMA is above the 200 EMA, suggesting a bullish bias.
Ratio < 1.0: Indicates the 20 EMA is below the 200 EMA, suggesting a bearish bias.
A dotted line at 1.0 serves as a visual benchmark for trend shifts.
This tool can be used in trend-following strategies or as a supporting filter for other signals. Ideal for swing and position traders who want a quick-glance momentum gauge.
Emperor Pivot Swing Trader🔱 Emperor Levels of Pivot – Swing Trader Edition
Advanced Multi-Timeframe Pivot Indicator for Intraday & Swing Trading
📌 Overview
Emperor Levels of Pivot – Swing Edition is a highly advanced TradingView indicator tailored for intraday and swing traders who rely on precise, real-time support and resistance zones. This script combines Woodie and Camarilla pivot point systems and plots them across a wide range of higher intraday to swing timeframes — offering a complete top-down market structure in a single indicator.
Whether you’re trading for a few hours or holding for several days, this tool empowers you with the clarity, accuracy, and precision needed to make confident trading decisions.
⏱️ Included Timeframes
This edition is optimized for swing traders and advanced intraday traders, covering all key timeframes:
🔹 Short-Term Intraday
15 min
30 min
45 min
🔸 Mid-Term Intraday
1 hour
2 hours
3 hours
4 hours
🔶 Extended Intraday
5 hours
6 hours
8 hours
9 hours
12 hours
Daily
🟣 Swing & Positional
Weekly
Monthly
With this structure, you can seamlessly shift between lower timeframe entries and higher timeframe context—ideal for swing traders looking to maximize trade accuracy while minimizing risk.
🎯 Key Features
✅ Multi-Timeframe Pivot Zones
Automatically plots pivot levels from multiple high-precision timeframes without changing your chart view. Perfect for planning trades across sessions and market phases.
✅ Dual Pivot Calculations
Integrates both Woodie and Camarilla pivot methods for a deeper and more flexible analysis of price action.
✅ Buyer & Seller Zones (Color-Coded)
Green background: Price is in bullish (buyer) territory above the pivot
Red background: Price is in bearish (seller) territory below the pivot
This helps you instantly identify market sentiment and trade direction.
✅ Real-Time Support & Resistance Updates
All pivot levels update live, giving you the most current information for accurate trade planning.
✅ Clean & Visual-Friendly Interface
Color-coded lines and zones are plotted cleanly without clutter. Easily read levels and structure, even when multiple timeframes are active.
✅ Optimized for Performance
Despite its complex calculations, the script is engineered for lightweight and fast performance, keeping your chart responsive and lag-free.
🧠 How to Use It as a Swing Trader
Plan Entries at Key Pivot Zones
Look for reactions, consolidations, or breakouts around major pivot levels like Daily, Weekly, or 4H pivots.
Set Stop-Loss and Take-Profit Using Levels
Use the nearest support/resistance zones to define your risk and reward precisely.
Align Entries Across Timeframes
Use lower timeframes like 15m–2H for timing your entries while staying aligned with the higher timeframes (Daily, Weekly) for broader trend direction.
Combine with Price Action or RSI
Pair the pivot zones with RSI divergences or candlestick signals to boost the reliability of your setups.
🚀 Why Swing Traders Love It
📈 Top-down view from intraday to swing timeframes in one place
🔍 No need to switch charts or indicators to get confluence
🧩 Perfect for holding trades for hours or days
💡 Makes complex market structure simple and actionable
🧠 Reduces overtrading by giving defined structure zones
🔥 Works best when combined with momentum or volume tools
📊 Best For
Swing Traders
Intraday Traders
Options Buyers & Positional Traders
Forex & Index Traders
Crypto & Equity Traders
🏁 Final Thoughts
Emperor Levels of Pivot – Swing Edition gives you a complete market map with real-time pivot structures that are essential for modern swing trading. By providing visual clarity, multi-timeframe levels, and reliable buyer/seller zones, it helps you avoid random trades and focus on high-probability setups.
🎯 Whether you're trading reversals, pullbacks, or breakouts — this tool will keep you aligned with the dominant structure, so you trade smarter, not harder.
Emperor Pivot Intraday🟩 Emperor Levels of Pivot — Intraday Trading Precision Across 15m to 1D Timeframes ⚔️
Emperor Levels of Pivot is a real-time, multi-timeframe pivot-based support and resistance indicator crafted for intraday traders who demand accuracy, speed, and deeper insight across evolving market conditions. Built on Woodie and Camarilla pivot logic, this indicator covers all key intraday timeframes — from 15 minutes to 1 day — providing an all-in-one tool for structure-based decision-making.
🔍 Designed for Professional Intraday Traders
⏱️ Timeframes Included:
Short-Term Intraday: 15m, 30m, 45m
Mid-Term Intraday: 1h, 2h, 3h, 4h
Extended Intraday: 5h, 6h, 8h, 9h, 12h, Daily
This diverse set of timeframes enables you to spot immediate price reactions, ongoing intraday trends, and strong macro zones — without switching charts or loading multiple indicators.
🔧 Key Features
💎 Multi-Timeframe Pivot Visualization
View pivot levels from all selected intraday timeframes on one chart
Helps identify trend alignment, overlapping resistance/support, and high-probability reversal zones
📗 Dual Pivot Logic – Choose from:
Woodie Pivots: Momentum-based calculation for reactive traders
Camarilla Pivots: Mean-reversion and breakout levels with tighter ranges
🌈 Buyer/Seller Zones with Background Coloring
🟢 Above Pivot (Green) → Bullish bias / Buyer zone
🔴 Below Pivot (Red) → Bearish bias / Seller zone
This visual guidance makes it easy to understand market sentiment at a glance.
⚡ Real-Time Plotting
Built to respond instantly to price action — no delay, no repainting — ensuring that you always operate with the most relevant data during live markets.
📏 Clutter-Free and Lightweight
Despite processing multiple timeframes, the script is optimized for fast chart performance and minimal distraction.
🎯 How to Use for Intraday Trading
📈 Use lower timeframe pivots (15m–45m) for:
Fast trades
Quick reversals
High-frequency opportunities
📊 Use mid and higher intraday pivots (1h–6h) for:
Intraday trend confirmation
Position sizing based on broader structure
Reversal zones backed by multiple timeframe confluence
📆 Use extended pivots (8h–1D) for:
Daily bias
End-of-day targets
Institutional order flow zones
💡 Who Is This For?
📉 Intraday Traders — short and medium timeframes
📊 Price Action Traders — looking for confluence at structure levels
🧠 Strategy Traders — who require multi-layered decision support
⚡ Momentum or Reversal Traders — who react to precise market turning points
🚀 Why Choose Emperor Levels of Pivot?
✅ Intraday-focused, with complete pivot coverage from 15m to 1D
✅ Dual pivot logic for strategy flexibility
✅ Real-time price reaction without lag
✅ Sentiment-mapped background zones (bullish/bearish)
✅ Clean and clear chart visuals, no clutter
✅ Ideal for fast-paced decision making
👑 Emperor Levels of Pivot gives you total control of intraday trading environments with intelligent pivot plotting and precise, real-time support/resistance mapping.
Start trading smarter today — whether you scalp, swing, or structure your day trades around price levels, this tool adapts to your intraday edge.
Support and Resistance Profile with Volatility ClusteringThe indicator begins by looking at recent volatility behavior in the market: it measures the average true range over your chosen “Length” and compares it to the average true range over ten times that period. When volatility over the short window is high relative to longer-term volatility, we mark that period as a “cluster.” As price moves through these clusters—whether in a quiet period or a sudden burst of activity—the script isolates each cluster and examines the sequence of closing prices within it.
Within every cluster, the algorithm next finds the points along the price path that matter most to a human eye, smoothing out minor wobbles and highlighting the peaks and valleys that define the cluster’s shape. It does this by drawing a straight line between the beginning and end of the cluster, then repeatedly snapping the single point that deviates most from that line back onto it and re-interpolating, until it has identified a fixed number of perceptually important points. Those points capture where price really turned or accelerated, stripping away noise so that you see the genuine memory-markers in each volatility episode.
Each of those important points inherits a “weight” based on the cluster’s normalized volatility—essentially how large the average true range in that cluster was relative to its average close. Over your “Main Length for Profile” window, every time one of these weighted points occurs at a particular price level, it adds to a running total in that level’s bin. At the end of the window you see a silhouette of boxes extending to the right of the chart: where boxes are wide, many important points (with high volatility weight) have happened there in the past; where boxes are thin or absent, price memory is light.
For a trader, the value of this profile lies in spotting zones where the market has repeatedly “remembered” price extremes during volatile episodes—those are areas where support or resistance is likely to be strongest. Conversely, gaps in the profile—price levels with little weighted history—suggest frictionless zones. If price enters such a gap, it may move swiftly until it encounters another region of heavy memory. You can use this in several ways: as a filter on breakouts and breakdowns (only trade through a gap when you see sufficient momentum), as a guide for scaling into positions (add when price enters a low-memory zone and tighten stops where memory boxes thicken), or to anticipate where price might pause or reverse (when it reaches a band of wide boxes). By turning raw volatility clusters into a human-readable map of price memory, this tool helps you see at a glance where the market is likely to push or pause—and plan entries, exits, and risk targets accordingly.
Emperor Pivot Scalper🟩 Emperor Levels of Pivot — Tool for Power for Scalpers & Options Scalpers Traders 🚀
Emperor Levels of Pivot is a next-generation, real-time support and resistance indicator built specifically for scalpers and options traders. This custom-built tool combines Woodie and Camarilla pivot formulas and displays critical pivot levels across key intraday timeframes — 15 min, 30 min, 45 min, 1 hour, and 2 hour — giving you unmatched clarity and edge during fast-paced trading sessions.
🔍 What Makes It Special?
🔁 Multi-Timeframe Precision (15min–2hr)
Get pivot levels from all essential intraday timeframes — no need to switch charts or indicators. This is perfectly suited for high-frequency trading styles.
🧠 Smart Scalping Framework:
Use the following chart & pivot combinations for maximum edge:
📈 1-Minute Chart with 30m, 45m, or 1-Hour Pivots → Perfect for ultra-short-term scalping.
30 Mins Pivot Levels are Shown Image Symbol BTCUSD
45 Mins Pivot Levels are Shown Image Symbol XAUUSD
Hour (60 Mins) Pivot Levels are Shown Image Symbol Banknifty Option 55000CE (EXPIRY 29/05/2025)
⏱️ 3-Minute Chart with 2-Hour Pivots → Ideal for catching early trend reversals or breakout confirmations.
2Hour (120 Mins) Pivot Levels are Shown Image Symbol Banknifty Option 55000CE (EXPIRY 29/05/2025)
🧮 Dual Formula Engine
Choose between Woodie and Camarilla pivot types for flexible market interpretation. Each method provides a different structure to capture dynamic S/R levels.
🌈 Buyer & Seller Zone Coloring
Green Background → Price above pivot = Buyer Zone = Bullish Bias
Red Background → Price below pivot = Seller Zone = Bearish Bias
Clear, intuitive visual cues help you stay aligned with momentum.
⚡ Real-Time Plotting Without Lag
The indicator updates instantly with price movement — critical for scalping and fast intraday decision-making.
📏 Clean, Lightweight, and Fast
Built for performance: even with multiple timeframes active, it remains sleek, responsive, and unobtrusive.
💡 How to Use It
Use Buyer/Seller Zones as Market Context
Immediately know whether the market is in a bullish or bearish phase — and trade in the direction of that bias.
React to Price Behavior at Pivot Levels
R1/R2/R3 and S1/S2/S3 zones act as key decision areas. Look for bounce, rejection, or breakout patterns around these levels.
Stack Timeframes for Confidence
When multiple pivots from different timeframes align near a price level, you’ve found a high-confluence zone — ideal for entries, exits, or reversals.
🎯 Best Suited For:
Scalpers who trade 1m–3m charts and need accurate S/R data from higher timeframes
Options Buyers looking for fast entries with clear, structure-based levels
Intraday Traders who rely on momentum and structure to avoid noise
🔥 Key Benefits
✅ Real-time, multi-timeframe pivots (15m to 2h)
✅ Designed specifically for short-term trading styles
✅ Combines Woodie & Camarilla pivot logic
✅ Background coloring for sentiment clarity
✅ Optimized for speed, precision, and usability
Start trading like royalty — with Emperor Levels of Pivot, your fast-paced edge in volatile markets.
🟢 Add it to your chart today and upgrade your intraday precision 👑
Buy-Sell Strategy with Supertrend FilterBuy Sell Indicator based on Trend with the help of Signals from Trend indicators like:
1) EMA
2) Super Trend
3) RSI
EMAs mit RSI & Candlestick-Signalen (einstellbar)This indicator overlays multiple Exponential Moving Averages (EMAs) and Simple Moving Averages (SMAs) on the chart, including EMA 8, 13, 21, 48, 50, 100, 200, 300, 500, 700 and SMA 200 & 500. Each moving average can be individually toggled on or off.
It also plots RSI signals with customizable upper and lower thresholds, marking overbought and oversold conditions.
Additionally, the indicator detects two popular candlestick patterns — Hammer and Shooting Star — and marks them directly on the chart with intuitive emoji symbols (🛠️ for Hammer below the candle and ⭐ for Shooting Star above the candle). The background of these symbols is transparent for a clean look.
Features:
Multiple EMAs and SMAs with toggle options
Configurable RSI upper and lower levels with visual signals
Detection and display of Hammer and Shooting Star candlestick patterns
Clean, emoji-based markers for candlestick signals without background clutter
Labels for the last bar’s values of each moving average
This tool helps traders quickly visualize trend strength, momentum extremes, and potential reversal candlestick signals all in one chart.
MM Hunter PRO [v1.1]> **MM Hunter PRO v1.1** is a professional-grade indicator built on the mindset of a market maker who has switched sides — now working for the trader.
> It helps identify high-probability entry points, filtered by trend direction, volume impulse, and candlestick quality.
Algoway V4.2Algoway V4.2 — Multi-layered Strategy Powered by ADX, MACD & PSO
Overview
Algoway V4.2 is a multi-indicator algorithmic strategy built to adapt to any timeframe, combining:
an enhanced Premium Stochastic Oscillator (PSO),
a normalized MACD for volatility-adjusted signals,
a zone-based ADX oscillator with trend-strength filtering,
and an optional Candle Strength Oscillator (CSO) for microstructure confirmation.
This document includes a parameter configuration example specifically for the 5-minute timeframe, which is ideal for crypto scalping due to its volatility and responsiveness.
Recommended Parameters (Example for 5-Minute Timeframe)
Module Parameter Value Explanation
Stochastic (PSO)
Stochastic Period 13 Shorter period for faster signal reaction on volatile 5M candles
Smoothing Period 4 Balanced smoothing between reactivity and noise filtering
Upper Level 0.8 Slightly stricter overbought zone
Lower Level -0.7 Softer oversold zone to avoid premature exits
Candle Strength
Base Period 100 Standard evaluation window
Smooth 3 Mild smoothing to reduce noise
Upper Zone Level 18 High bullish candle momentum threshold
Lower Zone Level -18 Strong bearish momentum detection
Flat Range 10 Indicates price compression/sideways zone
MACD
Fast EMA 5 Fast-reacting EMA for sharp swings
Slow EMA 12 Slightly shortened to match 5M dynamics
Signal SMA 4 Sharp trigger filter for entries
Normalization Period 75 Tailored to fast-moving crypto volatility
Upper MACD Threshold 0.7 Signal confirmation filter in overbought zones
Lower MACD Threshold -0.7 Confirmation filter for oversold zones
ADX
ADX Smoothing 14 Standard smoothing
DI Length 14 Standard DI period
Level Range 20 Range zone definition (yellow)
Level Trend 40 Peak zone definition for strong trends
Why These Values for 5M
Shorter stochastic and MACD periods give the strategy faster reaction to short-term bursts and reversals, crucial for 5M scalping.
Tighter PSO overbought/oversold levels allow more precise filtering of premature entries.
Normalized MACD ensures signal consistency across different volatility environments — vital for crypto assets.
Candle Strength remains at default for structural validation during trend fatigue or chop.
Conclusion
Algoway V4.2 is a universal, adaptive trading strategy. It operates effectively on any timeframe — from scalping to swing — and any volatile asset class, especially cryptocurrencies.
The above table showcases a fine-tuned example for 5M, suitable for scalping pairs on Binance, OKX, Bybit, etc.
Polytrends FreePolytrends Free - Technical Analysis Indicator Documentation
Overview
Polytrends Free is a comprehensive technical analysis indicator that identifies price trends, support/resistance levels, and containment patterns on trading charts. It uses advanced zigzag analysis to detect trend reversals and automatically draws key levels that traders can use for decision-making.
Key Features
Trend Analysis
Zigzag Pattern Detection: Automatically identifies significant highs and lows to create a clean trend visualization
Multi-Timeframe Support: Analyze trends from any timeframe while viewing on your preferred chart timeframe
Trend Direction Alerts: Real-time notifications when trend direction changes
Support & Resistance Levels
Automatic Level Detection: Identifies key horizontal support and resistance levels based on historical price action
Smart Level Filtering: Option to show only the most relevant levels to avoid chart clutter
Customizable Level Count: Control how many support and resistance levels are displayed
Containment Analysis
Range-Bound Detection: Highlights when price is trading within defined boundaries
Visual Containment Alerts: Color-coded system to show when price breaks out of or remains within established ranges
How to Use
Getting Started
Add the Indicator: Apply Polytrends Free to your chart from the indicators menu
Configure Basic Settings: Start with the main toggle switches to enable the features you want
Customize Appearance: Adjust colors, line styles, and sizes to match your chart preferences
Essential Settings
Trend Display
Display Trend: Master toggle to show/hide all trend analysis elements
Target Time Frame: Select which timeframe to use for trend analysis (leave blank for chart timeframe)
Containment: Enable to highlight when price is contained within previous ranges
Level Settings
Enable Levels: Master toggle for support/resistance level display
Above/Below: Set how many resistance levels (above price) and support levels (below price) to show
Filter Levels: When enabled, shows only the most significant levels without intermediary ones
Max Levels: Maximum number of levels the indicator will track (reduce if experiencing performance issues)
Understanding the Visual Elements
Trend Lines
Yellow Lines: Current active trend connections
Red Lines: Contained price action (when containment is enabled)
Dotted Lines: Most recent trend segment
Support & Resistance Levels
Horizontal Lines: Key price levels where price has previously reacted
Price Labels: Exact price values displayed on the right side of levels (when enabled)
Timeframe Labels: Shows which timeframe generated each level (when enabled)
Advanced Configuration
Visual Customization
Line Styles: Choose between solid, dashed, or dotted lines for trends and levels
Line Width: Adjust thickness from 1-50 pixels
Colors: Customize colors for different trend states and level types
Label Sizes: Set font size for price and timeframe labels
Performance Optimization
Relevance Factor: Controls how far back the indicator looks for levels (higher values = more historical data)
Max Levels: Limit the total number of levels tracked to improve performance
Price Offset: Adjust horizontal position of price labels
Practical Applications
For Day Traders
Use lower timeframes (15m, 1H) for intraday support/resistance levels
Enable containment detection to identify breakout opportunities
Set alerts for trend direction changes
For Swing Traders
Analyze daily or 4-hour timeframes for major trend direction
Focus on key support/resistance levels for entry and exit points
Use level filtering to see only the most significant price levels
For Position Traders
Use weekly or monthly timeframes for long-term trend analysis
Identify major support/resistance zones for portfolio allocation decisions
Monitor containment patterns for market structure changes
Alert System
The indicator provides three types of alerts:
Direction Changed: Triggers when trend direction changes (either bullish to bearish or vice versa)
Bullish Direction: Specifically triggers when trend changes from bearish to bullish
Bearish Direction: Specifically triggers when trend changes from bullish to bearish
To set up alerts, use TradingView's alert system and select the appropriate Polytrends alert condition.
Best Practices
Setup Recommendations
Start with default settings and gradually customize based on your trading style
Use higher timeframes for trend direction and lower timeframes for precise entries
Enable containment analysis during ranging markets
Reduce max levels if chart becomes cluttered
Interpretation Tips
Treat support/resistance levels as zones rather than exact prices
Look for confluence between multiple timeframe levels
Use containment patterns to identify potential breakout setups
Confirm trend changes with other technical indicators
Troubleshooting
Performance Issues
Reduce the "Max Levels" setting
Lower the "Relevance Factor"
Disable features you're not actively using
Too Many/Few Levels
Adjust "Above" and "Below" settings to control level quantity
Use "Filter Levels" to show only the most significant levels
Modify "Relevance Factor" to change how far back the indicator looks
Visual Clarity
Adjust line width and colors for better visibility
Use different line styles to distinguish between trend types
Modify label sizes based on your screen resolution
Limitations
The indicator works best on liquid markets with clear trend patterns
Very choppy or low-volume markets may produce less reliable signals
Performance may be affected on lower-end devices with very high "Max Levels" settings
Historical levels are based on past price action and don't predict future movements
4 EMA vs 288 EMA Crossover StrategyHow It Works
This strategy uses the interaction of these two EMA lines to generate buy and sell signals in the market:
Long Entry (Buy Signal): When the fast EMA (blue line) crosses above the slow EMA (red line) from below (a "crossover"), it's considered a buying opportunity, and the strategy enters a 'long' position.
Short Entry (Sell Signal): When the fast EMA (blue line) crosses below the slow EMA (red line) from above (a "crossunder"), it's considered a selling opportunity, and the strategy enters a 'short' position.
Key Features and Inputs
This strategy offers several customizable options for traders:
EMA Lengths: You can manually set the lengths for both the fast EMA and the slow EMA (defaulting to 1 and 288, respectively).
Stop Loss: You can decide whether to use a stop loss. If enabled, you set a percentage (%) for the maximum acceptable loss (default 1%). This helps to limit potential downsides.
Take Profit: You can also choose whether to use a take profit. If enabled, you set a percentage (%) for your profit target (default 2%). This helps to secure gains.
Trailing Stop: This is an optional feature that uses a trailing stop. If enabled, it adjusts the stop-loss level to adapt to your position, helping to lock in profits as the market moves in your favor (default 1.5%).
Visual Indicators
The strategy also plots visual cues directly on the chart:
EMA Lines: Both EMAs (blue and red) are plotted on the chart so you can easily track their movements.
Buy/Sell Signals: When a buy or sell signal is generated, green "BUY" (below the bar) or red "SELL" (above the bar) labels will appear on the chart.
Overall, this strategy provides a straightforward yet customizable framework for automated trading based on EMA crossovers, incorporating risk management features like stop loss and take profit.
Turbo Market Regime Detector [QuantAlgo]The Turbo Market Regime Detector is a market state classification system that combines volatility-adaptive filtering with slope analysis to identify and categorize market regimes. It helps traders and investors distinguish between trending and ranging market conditions across different timeframes and asset classes.
🟢 Technical Foundation
The Turbo Market Regime Detector employs a multi-layered analytical approach to market regime identification, incorporating:
Volatility-Adaptive Regime Filter (VARF) : Uses dynamic alpha calculation based on price volatility and range to create an adaptive filter that responds to changing market conditions
Slope Analysis : Calculates the absolute slope of the VARF curve and applies customizable moving average smoothing to determine trend strength and market regime classification
Normalized Histogram : Transforms raw slope data into percentage-based metrics (0-100%) for interpretation of market conditions
Multi-Threshold Classification System : Implements user-defined thresholds to categorize markets into Strong Trend, Weak Trend, and Ranging regimes
The indicator processes price data through mathematical operations including volatility adjustment, slope normalization, and statistical range analysis. This creates a regime detection system that adapts to market volatility while maintaining classification consistency across different timeframes and asset classes.
🟢 Key Features & Signals
1. Market Regime Classification
The indicator presents market conditions through a normalized histogram that distinguishes between three distinct market states:
1/ Strong Trend Regime: When the histogram exceeds the strong trend threshold (default 30%), indicating directional market movement with sustained momentum
2/ Weak Trend Regime: When the histogram falls between weak trend (default 10%) and strong trend thresholds, representing transitional market conditions with moderate directional bias
3/ Ranging Regime: When the histogram remains below the weak trend threshold, signaling consolidation periods with limited directional movement
This classification system provides insights into:
→ Current market state with percentage-based quantification
→ Regime transitions and their timing
→ Market momentum strength across different timeframes
2. Visual Feedback System
The indicator features multiple visualization options for market analysis:
Background Coloring: Optional chart background coloring that applies regime-based colors to both the indicator pane and main price chart for visual context
Bar Coloring: Price bar coloring based on current market regime, providing visual feedback on market conditions
Reference Lines: Horizontal reference lines at 25%, 50%, 75%, and 100% levels for percentage assessment and historical comparison
Information Table: Real-time status display showing current market state and trend strength percentage with customizable positioning and sizing options
3. Alert and Notification System
The indicator generates alerts for regime transitions:
State Change Alerts: Notifications triggered when the market transitions between regime states (Strong Trend ↔ Weak Trend ↔ Ranging)
Specific Regime Entry Alerts: Individual alert conditions for entering Strong Trend, Weak Trend, or Ranging regimes for targeted trading strategies
Customizable Alert Messages: Pre-formatted alert messages including exchange and ticker information for context and decision-making
🟢 Practical Usage Guidelines
→ Regime-Based Strategy Selection: Use the indicator to identify potential trading strategies - trend-following during Strong Trend regimes, mean-reversion during Ranging periods, and adjusted position sizing during Weak Trend transitions
→ Multi-Timeframe Analysis: Apply the indicator across different timeframes to understand market regime hierarchy and identify confluence between short-term and long-term market states
→ Threshold Optimization: Adjust regime thresholds based on market volatility and asset characteristics - lower thresholds for more sensitive regime detection, higher thresholds for more definitive regime changes
🟢 Configuration Tips
VARF settings optimization:
→ Lower thresholds (-0.3 to -0.5) for more responsive regime detection in volatile markets
→ Higher thresholds (-0.1 to 0.1) for smoother signals in stable market conditions
→ Enable adaptive VARF for automatic volatility adjustment across different market cycles
Slope analysis parameter tuning:
→ Shorter MA lengths (100-200) for faster regime transition signals
→ Longer MA lengths (300-500) for more stable regime identification
→ Adjust sensitivity multiplier based on desired responsiveness vs. stability balance
Regime interpretation framework:
→ Strong Trend regimes for momentum-based strategies and trend following
→ Ranging regimes for mean-reversion and support/resistance trading
→ Weak Trend periods for reduced position sizing and cautious market approach
Complementary analysis integration:
→ Volume analysis for regime change confirmation
→ Support/resistance levels for entry/exit timing within regime contexts
→ Price action patterns for validation of regime-based trading decisions
→ Economic calendar events that may influence regime transitions
Ichimoku Cloud zxc vercopyright from Ichimoku Cloud
updated info:
add big wheel emoji and red down arrow
when the conversionLine and baseLine cross depends on witch one was below other one
SY_Quant_AI_Trend📌 SY_Quant_AI Trend Visualization Indicator
🔍 This script is a trend visualization tool designed to assist traders in identifying market direction. It integrates multiple classic technical indicators (Supertrend, EMA/SMA, MACD) for multi-factor trend analysis and is ideal for use on 5-minute to 15-minute timeframes, particularly for digital assets such as BTC or ETH.
📐 Logic Overview:
✅ Supertrend determines the overall trend direction: green for uptrend, red for downtrend.
✅ EMA10 and MA80 alignment confirms trend strength.
✅ MACD crossovers (golden/dead) complement trend signals and trigger floating profit take-profit reminders (not entry signals).
✅ Bar colors indicate trend strength: dark green = strong long, light green = moderate long; dark red = strong short, light red = moderate short.
✅ Take-profit labels display current floating profit percentage as a manual reference — not a trading signal.
⚠️ Disclaimer:
This script does not execute any trades. It is solely for visual analysis of market trends. Users should independently assess whether to act on the analysis provided. The author bears no responsibility for any trading decisions based on this script.
