Adaptive SuperTrend StrategyThe Adaptive SuperTrend Trading Strategy is an advanced trading algorithm inspired by the Machine Learning Adaptive SuperTrend @AlgoAlpha indicator. This strategy enhances the traditional SuperTrend concept by integrating volatility clustering, adaptive ATR-based trend detection, and a structured entry/exit system. It aims to maximize trading efficiency by reducing false signals and capturing trends with optimized risk management.
How It Works
The strategy revolves around the following key components:
1. Adaptive SuperTrend Calculation
The core SuperTrend is calculated using the ATR (Average True Range) with an adjustable factor to detect trend direction.
Trend shifts are confirmed using directional crossovers (ta.crossunder(dir, 0) for bullish shifts and ta.crossover(dir, 0) for bearish shifts).
2. Volatility Clustering via Machine Learning
The strategy applies a k-means-like clustering method to segment market volatility into three categories:
High Volatility (Cluster 0): Avoids trend entries due to unstable market conditions.
Medium Volatility (Cluster 1): Accepts entries but with cautious stop-loss management.
Low Volatility (Cluster 2): Ideal conditions for trend-following entries.
Clustering is derived from historical ATR values, ensuring adaptability to changing market conditions.
3. Entry and Exit Rules
Long Entry Conditions:
Bullish trend shift (ta.crossunder(dir, 0)).
Market is in low or medium volatility to avoid choppy conditions.
Price is above the SuperTrend line.
Short Entry Conditions:
Bearish trend shift (ta.crossover(dir, 0)).
Market is in high volatility, indicating a strong downward move.
Price is below the SuperTrend line.
Exit Conditions:
Stop-loss and take-profit are determined by ATR multipliers.
A long trade is exited when price crosses below the SuperTrend line.
A short trade is exited when price crosses above the SuperTrend line.
How It Captures Profit
Trend Following: By entering trades at trend shifts and staying in the trend, the strategy maximizes profit potential.
Volatility Filtering: Avoids trading in highly volatile, unpredictable conditions, reducing drawdowns.
Risk Management: Uses ATR-based stop-loss and take-profit to dynamically adjust for different market conditions.
Best Markets & Timeframes
This strategy is versatile and can be applied across multiple markets and timeframes:
Best Markets
Forex (EUR/USD, GBP/USD, USD/JPY): Works well due to trending nature.
Cryptocurrency (Bitcoin, Ethereum, Solana): Captures major trend moves with volatility filtering.
Stocks (AAPL, TSLA, AMZN): Ideal for swing trading on daily or 4H charts.
Commodities (Gold, Oil, Silver): Performs well in breakout trends and trending cycles.
Recommended Timeframes
Intraday (15m, 30m, 1H): Works well for active traders who want frequent trades.
Swing Trading (4H, Daily): Captures major trends for medium-term traders.
Long-Term (Weekly, Monthly): Useful for filtering macro trends and long-term investing.
Conclusion
The Adaptive SuperTrend Trading Strategy builds upon the Machine Learning Adaptive SuperTrend concept by incorporating trend confirmation, volatility clustering, and risk management into a robust trading system. It provides high-probability trade entries while minimizing risk through volatility-based filtering.
With its adaptability across different markets and timeframes, it serves as a powerful tool for traders looking to optimize their trend-following strategies while maintaining strong risk control mechanisms.
Motif-Motif Chart
Sweaty Palms MA (50/100/200 + 250)Sweaty Palms Multiple MA (50/100/200 + 250)
A comprehensive moving average indicator combining the most powerful technical levels used by institutional traders. Features crystal-clear visualization of major moving averages with distinct colors and dynamic labels for enhanced clarity.
Features:
• Multiple MA types available (SMA, EMA, WMA, RMA, HMA)
• Four key moving averages: 50, 100, 200, and optional 250
• Institutional-grade color coding:
- Blue (50 MA): Short-term trend
- Orange (100 MA): Intermediate trend
- Purple (200 MA): Long-term trend
- White (250 MA): Extra long-term trend
• Dynamic labels that move with price
• Optional 250 MA toggle for reduced chart clutter
• Customizable MA lengths
Key Applications:
• Major Support/Resistance Levels: These MAs are widely watched by institutional traders
• Bull/Bear Market Definition: Price above/below 200 MA
• Golden/Death Cross: 50 & 200 MA crossovers
• Multiple Timeframe Analysis: Different MAs for different trading horizons
• Trend Strength: Spacing and alignment of MAs indicate trend strength
Settings:
• MA Type: Choose between SMA, EMA, WMA, RMA, HMA
• Customizable lengths for all MAs
• Toggle option for 250 MA
• Clean label display showing MA periods
Note: This indicator combines the most followed moving averages in financial markets. The 50, 100, and 200 MAs are particularly significant as they are watched by large institutions and often create self-fulfilling support/resistance levels.
Created by SweatyPalmsAlgo
S&P 500 ex MAG7Dieser Indikator zeigt die Performance des S&P 500 ohne die Einflussnahme der sogenannten MAG7-Werte: Microsoft, Apple, Google (Alphabet), Meta, Amazon, Nvidia und Tesla. Er berechnet den angepassten S&P 500, indem er die Kurse dieser sieben großen Technologiewerte vom Gesamtindex abzieht. Dies ermöglicht eine klarere Sicht auf die Performance der übrigen Unternehmen im S&P 500. Ideal für Anleger, die die Auswirkungen der großen Technologietitel aus ihrer Analyse ausklammern möchten.
Inducement - Liquidity HuntInducement - Liquidity Hunt
This indicator aims to deliver some sniper entries based on the SMC concept of Inducement
NG pattern detector - UdayThis pattern detects mostly used candle patterns
bullish engulfing bearish engulfing hammer inverted hammer dragonfly doji and gravestone doji.
also make sure to add alert
Trade Checklist RSI BollingerBands UP/DOWN Daysupdated 30WSMA in the table this is a good indicator for a stock to be bullish or bearish above 30WSMA is bullish and below is bearish
Optimized Triple Smoothed MA Crossover StrategyUsed @AlgoAlpha as the basis of this strategy.
Strategy Overview
The Optimized Triple Smoothed MA Crossover Strategy is a trend-following system that leverages a triple-smoothed moving average to filter out noise and generate high-probability trading signals. This strategy aims to reduce false signals by incorporating additional trend, momentum, and volatility confirmations before entering a trade.
Unlike simple crossover strategies, this approach smooths price action multiple times, ensuring that only strong trends are considered. By combining moving averages with RSI, ATR, and a 200 EMA trend filter, the strategy ensures that trades are aligned with the dominant trend and market momentum.
Why It Works Best on the 1H Timeframe
🔹 Filters Out Market Noise:
Shorter timeframes (e.g., 5m, 15m) are prone to whipsaws and false breakouts.
The 1H timeframe smooths out short-term fluctuations, making trend confirmation more reliable.
🔹 Captures Strong Market Movements:
The 1H chart balances frequent trade opportunities with stronger trend-following accuracy.
It allows traders to catch significant swings without being overly sensitive to minor price changes.
🔹 Optimized for Institutional Trading Behavior:
Many institutional traders and large market participants use the 1H timeframe for trend identification.
This ensures higher liquidity and better trend reliability compared to lower timeframes.
🔹 Works Well Across Multiple Markets:
In Forex & Crypto, the 1H timeframe captures major session overlaps (London/New York in Forex, Asia/London in Crypto).
In Stocks, it aligns with intraday momentum trends, avoiding random fluctuations.
How It Works
✅ Trade Entries:
Long Entry: When the signal line crosses below the triple-smoothed MA, confirming a bullish trend.
Short Entry: When the signal line crosses above the triple-smoothed MA, confirming a bearish trend.
✅ Confirmation Filters:
Trend Filter (200 EMA): Trades are only taken when aligned with the dominant trend.
RSI Momentum Filter: Long trades are taken when RSI > 50, and short trades when RSI < 50.
ATR Volatility Filter: Trades are executed only when ATR indicates high market activity, avoiding choppy conditions.
✅ Risk Management:
Stop Loss: Dynamically set using 1.5 × ATR, adjusting for market volatility.
Take Profit: 2 × ATR, ensuring a favorable risk-reward ratio.
No Repainting: Signals remain fixed after the bar closes, ensuring accurate backtesting and live trading performance.
Index Option TradingThis indicator helps identify potential entry and exit points for trading by combining three key technical indicators: Moving Average (MA), Relative Strength Index (RSI), and Bollinger Bands (BB). Here's how it works and how you can use it to initiate trades:
Fractal Lows Connector for AZALKAThe indicator "Fractal Lows Connector" identifies fractal lows on the chart and connects them with lines. A fractal low is defined as a point where the low of the current bar is lower than the lows of the two preceding and two succeeding bars. The indicator uses arrays to store the values and bar indices of these fractal lows. When a new fractal low is detected, it is added to the arrays, and lines are drawn between consecutive fractal lows using line.new. The lines are dynamically updated as new fractal lows are identified. The use of xloc.bar_index ensures that the lines scale properly with the chart when zooming in or out.
Индикатор фрактальные минимумы просто соединяет минимумы фракталов.
Dominan BreakPlots an arrow what dominan got break. Dominan is a bar which high is higher than high of the next x bars and low is lower than low of the next x bars. So, next x bars are completely in range of that dominan bar.
EMA 5, EMA 10, RSI Aşırı Alım/Satım ve Al/Sat Sinyallerirsı aşırı alım satım bölgesi ve ema 5 ema10 olarak ayarlanmıştır.
Sloogals Bollinger Bands Strategy📈 Sloogals Bollinger Bands Trading Strategy - Simple & Effective! 📉
🔹 Strategy Name: Bollinger Bands Strategy
🔹 Works On: Stocks, Forex, Crypto, and Indices
🔹 Best Timeframe: 5m, 15m, 1H, or 4H (adjustable)
🔹 Risk-Reward Ratio: 2:1 (Default)
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🚀 How It Works:
This strategy automatically trades using Bollinger Bands, a popular indicator for spotting price breakouts and reversals.
✅ Buys (Long Entry) when the price crosses above the Lower Bollinger Band (oversold condition).
✅ Sells (Short Entry) when the price crosses below the Upper Bollinger Band (overbought condition).
✅ Closes positions when the price returns to the Middle Bollinger Band (mean reversion).
It also includes stop loss and take profit to protect your capital and maximize profits!
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📊 Key Features:
✅ Automatic Trading & Paper Trading - Simulated trades in TradingView's Strategy Tester
✅ Adjustable Stop Loss & Take Profit - Default 1% SL, 2% TP for a 2:1 Risk-Reward
✅ Smart Alerts - Get notified via sound in the browser when a trade triggers
✅ Performance Dashboard - Track account balance, profit, and win rate in real time
✅ Dynamic Position Sizing - Trades a fixed % of your account equity
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📢 How to Use It:
1️⃣ Add the script to your TradingView chart
2️⃣ Go to “Strategy Tester” and check backtest results
3️⃣ Enable Paper Trading to test it in real-time
4️⃣ Set up Alerts for trade signals
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📌 Adjustments You Can Make:
🔹 Change Bollinger Band Settings (bbLength, bbStdDev)
🔹 Modify Stop Loss & Take Profit % to match your risk tolerance
🔹 Customize Alerts for SMS, email, or webhook notifications
GATORLIPS 200Buy signal when price comes up from lips and closes over teeth. Only buys when price above 200ema on 15 min.
BarbellFX ORBThe Opening Range Breakout (ORB) strategy is a popular day trading method that focuses on the first few minutes or hours of trading. Here's how it works:
The opening range is defined as a specific time period after the market opens (commonly the first 15-30 minutes)
Traders identify the high and low prices during this opening range
These prices become support and resistance levels
Trading signals are generated when the price breaks above or below these levels:
A breakout above the opening range high suggests going long
A break below the opening range low suggests going short
RSI, Bollinger Bands & MA Crossover StrategyIn the fast-paced world of financial markets, traders are constantly seeking robust strategies to maximize their returns while mitigating risks. Among the plethora of technical indicators available, the combination of the Relative Strength Index (RSI), Bollinger Bands, and Moving Average (MA) crossovers has garnered significant attention for its effectiveness in identifying potential trade setups. Each of these indicators offers unique insights into market dynamics, and their integration can create a powerful synergy for decision-making.
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. By indicating overbought or oversold conditions, it provides traders with a gauge for potential reversals or continuations in price trends. Bollinger Bands, on the other hand, are a volatility-based indicator comprising a moving average and two standard deviation bands. They help traders visualize price volatility and identify periods of consolidation or breakout. Moving Averages (MA), whether simple or exponential, serve as a fundamental trend-following tool by smoothing price data over a specified period, making it easier to discern the overall market direction.
Elephant Bars
**Elephant Bars Indicator**
This indicator identifies and highlights candlesticks that are significantly larger than the recent average candlestick size. It helps traders quickly spot strong price movements.
- **Percentage Threshold:** The candlestick must be this much larger than the average of the last 5 candles (default is 50%).
- **Body Percentage Threshold:** The candle body must be at least this percentage of the total candle size (default is 80%).
- **Border Color:** Sets the color of the highlighted candle's border.
- **Border Thickness:** Sets the thickness of the border around the highlighted candle.
**How It Works:**
1. The script calculates the size of the current candlestick and its body.
2. It computes the average size of the last 5 candlesticks.
3. The indicator highlights candles that are both significantly larger than the average size and have a body that is a substantial portion of the total candle size.
This indicator is particularly useful for identifying potential breakout or reversal points, as large candlesticks often signify strong market sentiment.
Feel free to tweak the description to better fit your needs! 🚀
Target RSI Projectionrsi calculator with level of sweep, the system recognize the level where the rsi is full comsumed
USD/ZAR Turning Points (Standard Deviation)STD deviation bands that create buy and sell signals on USDZAR chart.
Episodic Pivots DetectorAnyone interested in studying Episodic Pivots can add this detector to any chart to see when that specific underlying instrument encountered an Episodic Pivot event. If you need an example, pull up the chart for NASDAQ:SOUN and you will see multiple episodic pivot events dating back to January 2024 to January 13, 2025 (at the time of publishing this detector). Next you will need to study those events to ascertain why they stock moved in the direction it did. Happy trading.
Gemini Supreme Bot - CompoundingThis bot rides major market trends with a dynamic stop-loss that adapts to volatility. It uses compounding to reinvest profits, accelerating growth.
Trend Following + Momentum: ADX, moving averages, and RSI confirm strong entries.
Adaptive Risk Management: Risk is controlled with a percentage-based stop-loss and position sizing.
Compounding for Growth: Profits are reinvested to boost returns.
Backtest and optimize to unleash its full potential!
