Multi-Strategy Framework v3Multi Strategy Framework: 38 Strategies ensemble with Risk Management on top.
This trading system integrates over 38 independent strategies into a single, powerful strategy. Each strategy contributes its unique market perspective, culminating in a holistic view of the asset. The framework is further enhanced with sophisticated risk management and position sizing techniques.
Key Strategies Include:
• Moving average analysis
• Market structure evaluation
• Percentage rank calculations
• Sine wave correlation
• Fourier Frequency Transform (FFT) for signal composition analysis
• Bayesian statistical methods
• Seasonality patterns
• Signal-to-noise ratio assessment
• Horizontal, Resistance & Indecision levels identification
• Trendlines and Channels recognition
• Oscillators
• Open interest and funding rates analysis
• Volume and volatility measurements
• Divergence and Convergence
Two-Tiered Approach:
1. Market Regime Identification Layer: The combined output of all strategies determines the market regime, visually represented by a color-coded background.
2. Risk Management & Execution Layer: Based on the identified regime, the system applies different entry and exit rules, employing trend-following in bull markets and mean reversion in bear markets. This layer includes entry and exit filters, position sizing rules, take profits parameters and risk managment.
This framework is optimized for cryptocurrencies, offering a robust solution for trading in these volatile markets. It's intention is to serve as a safer way to invest in crypto assets, ensuring you:
Never miss strong upside trends and exit in time to avoid major drawdowns
Market Regime Optimization and Implementation:
• Each Market Regime strategy is designed for easy optimization, with a maximum of 4 parameters.
• All strategies produce consistent signal types, which are aggregated for final market direction decisions.
• Individual optimization of each strategy is performed using the Zorro Platform, a professional C++ based tool.
• All strategies are tested to work by themselves with Walk-Forward back testing
• Strategies that don't enhance market regime definition are not excluded enhancing robustness
Risk Management & Execution Optimization and Implementation:
• The strategy has different exits depending on the market regime, and its rules and parameters are optimized with full data minus simulation to obtain robust parameters.
• The strategy makes sure it never loses a big % of unrealized profits, and has always stop losess for the entries making sure % of losses are controlled.
• Take profits and position sizing are based on oscillators and strategy conditions.
• The methods used to trade in each market regimes are fully studied and tested to work in out of sample environments.
• This layer has options to see results in inverse trading conditions, long & short or 1 direction only, the performance of each market regime, and an option to display each market regime strategy individually. Also it can show backtest and out of sample results together or individually.
The following show results for this strategy optimized for different pairs.
The strategy for aech pair come pre-configured with optimized parameters by default, so there's no need to make any adjustments. However, it’s important to use the timeframes, exchanges, and max bar number for each pair. A Premium account with 20.000 bars is wanted but not fully needed. To get access to each strategy get in touch with me thorugh the platform.
Free Month for Testing:
You are eligible for a free one-month trial to test the strategy before committing. This allows you to fully explore its capabilities without any immediate cost.
If you are interested in automating the strategy, I recommend using a tool like Autoview. The strategy is fully compatible with automated trading and many 3rd party providers; contact me directly to write down the syntax at an extra cost.
This invitation-only TradingView script represents a culmination of extensive research and optimization, designed to provide serious traders with a powerful tool for navigating the complex cryptocurrency markets it is not shared publicaly or freely.
❓FAQ
Q: Can I use it for scalping?
A: This system is better suited for swing or trendholding periods, so no.
Q: Does it repaint?
A: No, all signals are calculated on confirmed bars only.
Q: Can I use it on stocks or forex?
A: It's optimized for crypto, but you can test it on other assets — results may vary.
Q: Can I automate it with TradingView alerts?
A: Yes, it supports full automation with platforms like Autoview. You’ll need signal syntax, available upon request.
Q: Can I use it on a free TradingView account?
A: Yes but results will not be as good and it might incur in losses check the backtest first and do a simulation period if needed.
Q: Does the startegy works in out of sample?
A: Yes all strategy pairs have already a period of outsample where you can check the results.
Q: Which coins are available?
A: I only use coins with at least 6 years of data and sufficient volume on exchanges. Pairs include: BTC, ETH, LTC, XRP, BNB, LINK, ADA, DOGE, XLM, ATOM, S, POL and a few others.
Q: Can it be used on Forex, stocks, or indices?
A: It is optimized for crypto, but it may work on other markets. Results on non-crypto assets should be manually tested, and performance is not guaranteed outside crypto.
Q: Can I cancel anytime?
A: Yes, subscriptions are month-to-month and can be stopped anytime without penalties.
Q: Can I access the settings?
A: Yes, all key settings are visible. However, default parameters are pre-optimized for each pair and shouldn't require changes for best performance.
Q: How often is the script updated?
A: The framework is actively maintained. Updates are pushed when improvements, optimizations, or new strategies are added. Parameter optimizations are done yearly.
Chỉ báo và chiến lược
2:45 AM Candle High/Low Crossing Bars2:45 AM Candle High/Low Crossing Bars is an indicator that focuses on the trading view 2:45am NY TIME high and low indicating green for buy and red bars for sell, with the 2:45am new york time highlight/ If the next candle sweeps the low we buy while if it sweeps the high we sell, all time zoon must be the new York UTC time.
Gaussian Channel + Stoch RSI Strategy"An indicator entry model is a systematic framework designed to identify optimal entry points for a given process, such as initiating a trade, investment, or action, based on predefined signals or indicators. This model leverages quantitative or qualitative metrics—such as technical indicators (e.g., moving averages, RSI, MACD), economic data, or market conditions—to generate actionable insights. The model typically involves setting specific thresholds or conditions that, when met, trigger an entry signal. For example, in trading, the model might use a combination of a 50-day moving average crossing above a 200-day moving average and an RSI below 70 to indicate a buy entry. The goal is to reduce subjectivity, enhance consistency, and improve decision-making efficiency by relying on data-driven rules tailored to the user’s objectives and risk tolerance."
Supertrend + MACD CrossoverKey Elements of the Template:
Supertrend Settings:
supertrendFactor: Adjustable to control the sensitivity of the Supertrend.
supertrendATRLength: ATR length used for Supertrend calculation.
MACD Settings:
macdFastLength, macdSlowLength, macdSignalSmoothing: These settings allow you to fine-tune the MACD for better results.
Risk Management:
Stop-Loss: The stop-loss is based on the ATR (Average True Range), a volatility-based indicator.
Take-Profit: The take-profit is based on the risk-reward ratio (set to 3x by default).
Both stop-loss and take-profit are dynamic, based on ATR, which adjusts according to market volatility.
Buy and Sell Signals:
Buy Signal: Supertrend is bullish, and MACD line crosses above the Signal line.
Sell Signal: Supertrend is bearish, and MACD line crosses below the Signal line.
Visual Elements:
The Supertrend line is plotted in green (bullish) and red (bearish).
Buy and Sell signals are shown with green and red triangles on the chart.
Next Steps for Optimization:
Backtesting:
Run backtests on BTC in the 5-minute timeframe and adjust parameters (Supertrend factor, MACD settings, risk-reward ratio) to find the optimal configuration for the 60% win ratio.
Fine-Tuning Parameters:
Adjust supertrendFactor and macdFastLength to find more optimal values based on BTC's market behavior.
Tweak the risk-reward ratio to maximize profitability while maintaining a good win ratio.
Evaluate Market Conditions:
The performance of the strategy can vary based on market volatility. It may be helpful to evaluate performance in different market conditions or pair it with a filter like RSI or volume.
Let me know if you'd like further tweaks or explanations!
Box Chart Overlay StrategyExploring the Box Chart Overlay Strategy with RSI & Bollinger Confirmation
The “Box Chart Overlay Strategy by BD” is a sophisticated TradingView strategy script written in Pine Script (version 5). It combines a box charting method with two widely used technical indicators—Relative Strength Index (RSI) and Bollinger Bands—to generate trade entries. In this article, we break down the strategy’s components, its logic, and how it visually represents trading signals on the chart.
1. Strategy Setup and User Inputs
Strategy Declaration
At the top of the script, the strategy is declared with key parameters:
Overlay: The indicator is plotted directly on the price chart.
Initial Capital & Position Sizing: It uses a simulated trading account with an initial capital of 10,000 and positions sized as a percentage of equity (10% by default).
Commission: A commission of 0.1% is factored into trades.
Input Parameters
The strategy is highly customizable. Users can adjust various inputs such as:
Box Settings:
Box Size (RSboxSize): Defines the size of each price “box.”
Box Options: Choose from three modes:
Standard: Boxes are calculated continuously from the start of the chart.
Anchored: The first box is fixed at a specified time and price.
Daily Reset: The boxes reset each day based on a defined session time.
Color Customizations:
Options to customize the appearance of boxes, borders, labels, and even repainting the candles based on the current price’s relation to box levels.
RSI Settings:
Length, overbought, and oversold levels are set to filter trades.
Bollinger Bands Settings:
Users can set the length of the moving average and the multiplier for standard deviation, which will be used to compute the upper and lower bands.
2. The Box Chart Mechanism
Box Construction
The core idea of a box chart is to group price movement into discrete blocks—or boxes—of a fixed size. In this strategy:
Standard Mode:
The script calculates boxes starting at a rounded price level. When the price moves sufficiently above or below the current box’s boundaries, a new box is drawn.
Anchored and Daily Reset Modes:
These modes allow traders to control where the box calculations begin or to reset them during a specific intraday session.
Visual Elements
Several custom functions handle the visual components:
drawBoxUp() and drawBoxDn():
These functions create boxes in bullish or bearish directions respectively, based on whether the price has exceeded the current box’s high or low.
drawLines() and drawLabels():
Lines are drawn to extend the current box levels, and labels are updated to display key levels or the “remainder” (the difference needed to trigger a new box).
Projected Boxes:
A “projected” box is drawn to indicate potential upcoming box levels, providing an additional visual cue about the price action.
3. Integrating RSI and Bollinger Bands for Trade Confirmation
RSI Integration
The strategy computes the RSI using a user-defined length. It then uses the following conditions to validate entries:
Long Trades (Box Up):
The strategy waits for the RSI to be at or below the oversold level before considering a long entry.
Short Trades (Box Down):
It requires the RSI to be at or above the overbought level before triggering a short entry.
Bollinger Bands Confirmation
In addition to the RSI filter:
For Long Entries:
The price must be at or below the lower Bollinger Band.
For Short Entries:
The price must be at or above the upper Bollinger Band.
By combining these filters with the box breakout logic, the strategy aims to enhance the quality of its trade signals.
4. Dynamic Trade Entries and Alerts
Box Logic and Entry Functions
Two key functions—BoxUpFunc() and BoxDownFunc()—handle the creation of new boxes and also check if trade conditions are met:
When a new box is drawn, the script evaluates if the RSI and Bollinger conditions align.
If conditions are satisfied, the script places an entry order:
Long Entry: Initiated when the price moves upward, RSI indicates oversold, and the price touches or falls below the lower Bollinger Band.
Short Entry: Triggered when the price falls downward, RSI signals overbought, and the price touches or exceeds the upper Bollinger Band.
Alerts
Built-in alert functions notify traders when a new box level is reached. Users can set custom alert messages to ensure they are aware of potential trade opportunities as soon as the conditions are met.
5. Visual Enhancements and Candle Repainting
The script also includes options for repainting candles based on their relation to the current box’s boundaries:
Above, Below, or Within the Box:
Candles are color-coded using user-defined colors, making it easier to visually assess where the price is in relation to the box levels.
Labels and Lines:
These continuously update to reflect current levels and provide an immediate visual reference for potential breakout points.
Conclusion
The Box Chart Overlay Strategy by BD is a multi-faceted approach that marries the traditional box chart technique with modern technical indicators—RSI and Bollinger Bands—to refine entry signals. By offering various customization options for box creation, visual styling, and confirmation criteria, the strategy allows traders to adapt it to different market conditions and personal trading styles. Whether you prefer a continuously running “Standard” mode or a more controlled “Anchored” or “Daily Reset” approach, this strategy provides a robust framework for integrating price action with momentum and volatility measures.
FusionXcel Signal TestTrend-based Demand & Supply with Trendlines:
Demand Zones: Areas where buying pressure is high (price tends to rise).
Supply Zones: Areas where selling pressure is high (price tends to fall).
Trendlines: Lines drawn to connect higher lows (uptrend) or lower highs (downtrend), helping to identify the overall market direction.
Psychological analytics
NISHITThis strategy is equal to the very popular "ANN Strategy" coded by sirolf2009 but without the Artificial Neural Network (ANN// Main difference besides stripping out the ANN is that I use close prices instead of OHLC4 prices
Morning & Evening Star Strategy (1% TP, 0.5% SL)Morning star and evening star indicator which allows you to identify the trader basis on this price action pattern. It is only for education purpose and nothing else
VOLGHAN STGForex Robots: A Comprehensive Guide for Traders
Introduction
In the dynamic world of Forex trading, various tools exist to assist traders in making decisions and executing trades. One popular yet controversial tool is the Forex Robot, also known as an Expert Advisor (EA). These robots are software programs designed to automatically execute trades based on a predefined set of rules and algorithms.
What is a Forex Robot and How Does It Work?
A Forex robot is a computer program that connects directly to your trading platform (like MetaTrader 4 or 5). These robots are designed to analyze currency price movements. They use technical indicators, price patterns, or custom trading strategies to identify buy or sell signals.
When a signal matching the robot's programmed rules is detected, the robot can automatically open or close a trade in your account without human intervention. The primary goal of using robots is to automate the trading process and eliminate the need for constant market monitoring.
Advantages of Using Forex Robots:
Automated & 24/7 Trading: Robots can analyze the market and trade continuously, even while you are asleep or busy with other activities.
High Execution Speed: Robots can react to market changes and execute trades in fractions of a second, much faster than a human can.
Emotionless Trading: One of the biggest challenges for traders is overcoming emotions like fear and greed. Robots operate purely based on logic and programmed rules, unaffected by emotions.
Backtesting: Most robots offer the ability to test their strategy on historical market data. This allows you to evaluate the robot's potential performance before using real money.
Strategy Adherence: Robots strictly and consistently follow the defined trading strategy without deviating from the rules.
Disadvantages and Risks of Using Forex Robots:
No Profit Guarantee: No Forex robot can guarantee profits. Past performance is not indicative of future results, as market conditions are constantly changing.
Need for Optimization: Strategies that work today may not work tomorrow. Robots require periodic monitoring, adjustments, and optimization to adapt to new market conditions.
Risk of Scams: The market is flooded with robots sold with unrealistic promises of huge profits. Many of these robots are either ineffective or outright scams.
Technical Issues: Robots require a stable internet connection and an active trading platform to function correctly. Internet outages or server problems can lead to missed trades or incorrect execution. Using a Virtual Private Server (VPS) is often recommended.
Curve Fitting: Some robots might be overly optimized to perform well on specific historical data (curve fitting), leading to poor performance in live, real-time market conditions.
Things to Consider Before Using a Forex Robot:
Thorough Research: Before buying or using any robot, research it extensively. Look for independent reviews, verified performance results (e.g., via sites like Myfxbook), and feedback from other users.
Understand the Strategy: Try to understand the logic and trading strategy behind the robot. Not knowing how the robot works makes risk management difficult.
Demo Account Testing: Always test the robot extensively on a demo account before using it with real money to familiarize yourself with its performance and settings.
Risk Management: Even when using a robot, risk management principles are crucial. Carefully set parameters for trade size (lot size), stop-loss, and take-profit.
Realistic Expectations: Remember that robots are tools to aid trading, not magical money-making machines. There is always a risk of losing capital.
Conclusion
Forex robots can be powerful tools for automating trades and capitalizing on market opportunities, especially for those who lack the time or inclination for constant market analysis. However, their use is not without risk. Success with Forex robots requires careful selection, proper understanding, thorough testing, appropriate risk management, and realistic expectations. Never risk money you cannot afford to lose, whether trading manually or using a robot.
Volume Footprint Approx + Trend Filter v6I tried to use volume footprint data with trend, it is not a bad idea but it can be better I will make it better
Smart Scalper WR+ Momentum + Trailing StopThis is an aggressive scalping strategy designed to capture short-term momentum moves with high-frequency signals. It uses RSI-based reversal logic combined with candle momentum and a fixed take-profit/stop-loss setup for fast in-and-out trades. BINANCE:BTCUSDT
Smart Trade By Amit RoyVersion 1.0
An indicator trend refers to the directional movement of a technical indicator over time, helping traders and analysts interpret market momentum, strength, and potential reversals. Indicator trends are commonly used in financial markets to confirm price trends, detect overbought or oversold conditions, and identify divergence patterns.
EMA + RSI + MACD + Support & Resistance Combined StrategyThis Pine Script strategy combines **EMA, RSI, MACD, and Support/Resistance levels** to identify high-probability trading opportunities.
- **EMA (Exponential Moving Averages)**: Determines trend direction using EMAs (5, 20, 50, 100, 200).
- **RSI (Relative Strength Index)**: Filters trades, confirming bullish (above 50 but below 70) and bearish (below 50 but above 30) momentum.
- **MACD (Moving Average Convergence Divergence)**: Confirms momentum shifts using MACD line crossover with the signal line.
- **Support & Resistance**: Detects breakout and breakdown levels based on the highest high and lowest low over a set period.
- **Trade Execution**:
- **Buy**: When all bullish conditions align, and the price breaks above resistance.
- **Sell**: When all bearish conditions align, and the price breaks below support.
- **Risk Management**: Uses ATR (Average True Range) to set dynamic stop-loss and take-profit levels.
This strategy helps traders capitalize on strong trends while managing risks effectively. 🚀
Triangular Hull Moving Average [BigBeluga X PineIndicators]This strategy is based on the original Triangular Hull Moving Average (THMA) + Volatility indicator by BigBeluga. Full credit for the concept and design goes to BigBeluga.
The strategy blends smoothed trend-following logic using a Triangular Hull Moving Average with dynamic volatility overlays, providing actionable trade signals with responsive visual feedback. It's designed for traders who want a non-lagging trend filter while also monitoring market volatility in real time.
How the Strategy Works
1. Triangular Hull Moving Average (THMA) Core
At its core, the strategy uses a Triangular Hull Moving Average (THMA) — a variation of the traditional Hull Moving Average with triple-smoothing logic:
It combines multiple weighted moving averages (WMAs) to create a faster and smoother trend line.
This reduces lag without compromising trend accuracy.
The THMA reacts more responsively to price movements than classic MAs.
THMA Formula:
thma(_src, _length) =>
ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length)
This logic filters out short-term noise while still being sensitive to genuine trend shifts.
2. Volatility-Enhanced Candle Plotting
An optional volatility mode overlays the chart with custom candles that incorporate volatility bands:
Wicks expand and contract dynamically based on market volatility.
The volatility value is computed using a HMA of high-low range over a user-defined length.
The candle bodies reflect THMA values, while the wicks reflect the current volatility spread.
This feature allows traders to visually gauge the strength of price moves and anticipate possible breakouts or slowdowns.
3. Trend Reversal Signal Detection
The strategy identifies trend reversals when the THMA line crosses over/under its own past value:
A bullish signal is triggered when THMA crosses above its value from two bars ago.
A bearish signal is triggered when THMA crosses below its value from two bars ago.
These shifts are marked on the chart with triangle-shaped signals for clear visibility.
This logic helps detect momentum shifts early and enables reactive trade entries.
Trade Entry & Exit Logic
Trade Modes Supported
Users can choose between:
Only Long – Enters long trades only.
Only Short – Enters short trades only.
Long & Short – Enables both directions.
Entry Conditions
Long Entry:
Triggered when a bullish crossover is detected.
Active only if the strategy mode allows long trades.
Short Entry:
Triggered when a bearish crossover is detected.
Active only if the strategy mode allows short trades.
Exit Conditions
In Only Long mode, the strategy closes long positions when a bearish signal appears.
In Only Short mode, the strategy closes short positions when a bullish signal appears.
In Long & Short mode, the strategy does not auto-close positions — instead, it opens new positions on each confirmed signal.
Dashboard Visualization
In the bottom-right corner of the chart, a live dashboard displays:
The current trend direction (🢁 for bullish, 🢃 for bearish).
The current volatility level as a percentage.
This helps traders quickly assess market status and adjust their decisions accordingly.
Customization Options
THMA Length: Adjust how smooth or reactive the trend detection should be.
Volatility Toggle & Length: Enable or disable volatility visualization and set sensitivity.
Color Settings: Choose colors for up/down trend visualization.
Trade Direction Mode: Limit the strategy to long, short, or both types of trades.
Use Cases & Strategy Strengths
1. Trend Following
Use the THMA-based candles and triangle signals to enter with momentum. The indicator adapts quickly, reducing lag and improving trade timing.
2. Volatility Monitoring
Visualize the strength of the trend with volatility wicks. Use expanding bands to confirm breakouts and contracting ones to detect weakening moves.
3. Signal Confirmation
Combine this tool with other indicators or use the trend shift triangles as confirmations for manual entries.
Conclusion
The THMA + Volatility Strategy is a non-repainting trend-following system that integrates:
Triangular Hull MA for advanced trend detection.
Real-time volatility visualization.
Clear entry signals based on trend reversals.
Configurable trade direction settings.
It is ideal for traders who:
Prefer smoothed price analysis.
Want to follow trends with precision.
Value visual volatility feedback for breakout detection.
Full credit for the original concept and indicator goes to BigBeluga.
Litecoin Trailing-Stop StrategyAltcoins Trailing-Stop Strategy
This strategy is based on a momentum breakout approach using PKAMA (Powered Kaufman Adaptive Moving Average) as a trend filter, and a delayed trailing stop mechanism to manage risk effectively.
It has been designed and fine-tuned Altcoins, which historically shows consistent volatility patterns and clean trend structures, especially on intraday timeframes like 15m and 30m.
Strategy Logic:
Entry Conditions:
Long when PKAMA indicates an upward move
Short when PKAMA detects a downward trend
Minimum spacing of 30 bars between trades to avoid overtrading
Trailing Stop:
Activated only after a customizable delay (delayBars)
User can set trailing stop % and delay independently
Helps avoid premature exits due to short-term volatility
Customizable Parameters:
This strategy uses a custom implementation of PKAMA (Powered Kaufman Adaptive Moving Average), inspired by the work of alexgrover
PKAMA is a volatility-aware moving average that adjusts dynamically to market conditions, making it ideal for altcoins where trend strength and direction change frequently.
This script is for educational and experimental purposes only. It is not financial advice. Please test thoroughly before using it in live conditions, and always adapt parameters to your specific asset and time frame.
Feedback is welcome! Feel free to clone and adapt it for your own trading style.
Hypersonic MAIN Intersection StrategyStrategy that shows the intersection point of two Items of Interest. Backtesting showed the best was Candle (close) & EMA 9.
1. I added 2 auxiliary EMA's that you can view or hide because I know some people like to see the EMA 200.
2. You select the First and Second Item of Interest and it'll plot it in the background. First EMA and Second EMA correspond to whether you select them or not. The BWMA stuff is near the bottom. And in the middle is how you can show/hide the data table in the top-right. If you choose "candle" then it'll use the close of the candle for plotting.
3. you can show/hide different lines in the Style section.
4. on the Style tab of Settings, you can turn off the whole table as well as the Trades, just the signal of the trade, or just the quantity of the trade.
Beyond TrackBeyond Track is a powerful tool designed to assist traders in identifying key market trends, entry and exit points, and potential reversals. This indicator combines to provide clear and actionable signals for both novice and experienced traders.
Cycle Biologique Strategy // (\_/)
// ( •.•)
// (")_(")
//@fr33domz
Experimental Research: Cycle Biologique Strategy
Overview
The "Cycle Biologique Strategy" is an experimental trading algorithm designed to leverage periodic cycles in price movements by utilizing a sinusoidal function. This strategy aims to identify potential buy and sell signals based on the behavior of a custom-defined biological cycle.
Key Parameters
Cycle Length: This parameter defines the duration of the cycle, set by default to 30 periods. The user can adjust this value to optimize the strategy for different asset classes or market conditions.
Amplitude: The amplitude of the cycle influences the scale of the sinusoidal wave, allowing for customization in the sensitivity of buy and sell signals.
Offset: The offset parameter introduces phase shifts to the cycle, adjustable within a range of -360 to 360 degrees. This flexibility allows the strategy to align with various market rhythms.
Methodology
The core of the strategy lies in the calculation of a periodic cycle using a sinusoidal function.
Trading Signals
Buy Signal: A buy signal is generated when the cycle value crosses above zero, indicating a potential upward momentum.
Sell Signal: Conversely, a sell signal is triggered when the cycle value crosses below zero, suggesting a potential downtrend.
Execution
The strategy executes trades based on these signals:
Upon receiving a buy signal, the algorithm enters a long position.
When a sell signal occurs, the strategy closes the long position.
Visualization
To enhance user experience, the periodic cycle is plotted visually on the chart in blue, allowing traders to observe the cyclical nature of the strategy and its alignment with market movements.
Enhanced 3-Month Reversal Strategy v6 (TSLA)### **Strategy Overview: Enhanced 3-Month Reversal Strategy v6 for TSLA**
This custom-designed strategy is tailored specifically for **Tesla Inc. (TSLA)**, incorporating a multi-factor scoring model to capture short-term mean-reversion opportunities within a broader trend-aware framework.
---
### **Methodology**
The strategy blends **technical reversal signals** with **trend filtering** and **volatility-adjusted risk management**. It assigns dynamic weights to six core technical indicators for both long and short entries:
- **RSI (7-period):** Identifies overbought/oversold conditions based on percentile ranks.
- **MACD (8/17/9):** Captures short-term momentum shifts with trend confirmation.
- **ADX (14):** Ensures trades are taken only in strong trending environments.
- **Volume Spike:** Confirms breakout or reversal intensity.
- **SMA Crossovers (20 & 50):** Filters trend direction on a medium scale.
- **Implied Volatility Rank (126-period HV proxy):** Measures relative volatility levels to confirm timing.
All inputs are scored based on weighted signals, and trades are only entered when the composite score exceeds a defined threshold.
---
### **Features**
- ✅ **Volatility-based dynamic stop-loss and take-profit** for adaptive risk management.
- ✅ **Intraday trading window filter** to restrict trades to regular market hours (default: 9AM–4PM EST).
- ✅ **Trend filter (200-SMA)** to allow long trades only in bullish markets.
- ✅ **Score threshold parameters** are fully adjustable for optimization.
- ✅ **Individual trade P&L tracking** via chart annotations.
---
### **Backtest Summary**
- **Time period:** Backtested on TSLA from **January 2022 to March 2025**.
- **Data granularity:** 15-minute and 1-hour timeframes show best performance consistency.
- **Market regime:** Performs well in both trending and volatile mean-reversion phases.
---
### **Best Input Parameters (from hyperparameter tuning)**
**Long Entry Weights:**
- RSI: `0.35`
- IV Rank: `0.10`
- MACD: `0.15`
- SMA Condition: `0.25`
- ADX: `0.15`
- Volume Spike: `0.25`
**Short Entry Weights:**
- RSI: `0.20`
- IV Rank: `0.15`
- MACD: `0.30`
- SMA Condition: `0.00`
- ADX: `0.15`
- Volume Spike: `0.30`
**Other Settings:**
- MACD Signal Period: `9`
- RSI Length: `7`
- IV Period: `126`
- SMA Periods: `20 & 50`
- Trend Filter SMA: `200`
- Stop Loss / Take Profit: `1.0 × HV` multiplier
---
--- Optuna 优化完成 ---
最佳 Trial 编号: 29
最佳 Total Return : 17927.75678703037
最佳参数:
rsi_length: 13
iv_length: 140
macd_fast: 7
macd_slow: 30
adx_length: 25
sma_short_period: 21
sma_long_period: 78
volume_ma_period: 14
rsi_low_percentile: 21
rsi_high_percentile: 60
iv_low_percentile: 11
iv_high_percentile: 89
take_profit_mult: 4.0
stop_loss_mult: 5.0
bullish_threshold: 0.65
bearish_threshold: 0.9
rsi_bull_weight: 0.5
iv_bull_weight: 0.25
macd_bull_weight: 0.30000000000000004
sma_bull_weight: 0.1
adx_bull_weight: 0.0
volume_bull_weight: 0.3
rsi_bear_weight: 0.5
iv_bear_weight: 0.2
macd_bear_weight: 0.15000000000000002
sma_bear_weight: 0.1
adx_bear_weight: 0.1
volume_bear_weight: 0.15000000000000002
macd_signal: 9
EMA 5m Nightingale🔁 EMA 5m Nightingale Strategy — Smart Compounding Recovery
This strategy combines classic EMA cross entries with a disciplined Nightingale position sizing system to manage losses and enhance recovery.
📌 Features:
✅ EMA 20/50 crossover entries, confirmed by trend (EMA 200)
🔄 Fixed-step Nightingale logic:
Trade sizing steps: $200 → $200 → $250 → $400 → $800 → $1600 → $3200 → $6000
Automatically resets to $200 after a profitable trade
🛑 2% equity-based stop loss
📉 Trade size increases only after a loss — never on a win
🔔 Built-in buy/sell alerts for automation or notifications
Perfect for testing controlled risk escalation and recovery on volatile 3-minute or 5-minute charts.
TESTING NOW FOR XRP 5M
Bollinger Band Long & Short Strategy### **Strategy Summary: Bollinger Band Long & Short Strategy**
#### **Bollinger Band Setup:**
- Uses a **20-period Simple Moving Average (SMA)** as the basis.
- **Standard deviation multiplier = 1.5**.
- Calculates **upper** and **lower Bollinger Bands**.
#### **Entry Conditions:**
- **Short Trade:**
- A candle must fully form **above** the upper Bollinger Band.
- The **low of this candle** must be broken by one of the **next four candles**.
- A **short position** is then entered.
- **Long Trade:**
- A candle must fully form **below** the lower Bollinger Band.
- The **high of this candle** must be broken by one of the **next four candles**.
- A **long position** is then entered.
#### **Risk Management:**
- **Stop Loss:**
- **Short Trade:** High of the candle that formed outside the upper Bollinger Band.
- **Long Trade:** Low of the candle that formed outside the lower Bollinger Band.
- **Position Sizing:**
- The number of shares/contracts is calculated such that the **maximum loss per trade is INR 4000**.
- **Risk-to-Reward Ratio:**
- **Target Profit = 3x Risk (1:3 R:R).**
- Once **1:2 profit is reached, the stop loss moves to breakeven**.
- The trade is **closed at 1:3 profit**.
#### **Additional Features:**
- **Trades are only considered if the breakout happens within four candles** after the alert candle.
- **Bollinger Bands are plotted for visibility** on the chart.
Let me know if you need any modifications! 🚀
Mean Reversion with Volume AnalysisKey Features of This Script:
Adaptive Parameters
RSI thresholds adjust based on market volatility
Uses ATR to measure current volatility
Volume Confirmation
Only enters trades when volume is above average (vol_ratio > vol_threshold)
Volume spike helps confirm potential reversions
Multi-Timeframe Analysis
Optional higher timeframe confirmation
Ensures you’re not fighting against the larger trend
Volatility Filters
Uses normalized ATR to avoid trading in extremely volatile conditions
BB width provides visual indication of current volatility
Visual Feedback
Plots buy/sell signals directly on the chart
Information panel shows key metrics
Customization Tips:
Adjust the length parameter based on the timeframe you’re trading
Modify bb_mult to be more aggressive (lower value) or conservative (higher value)
The vol_threshold can be increased for stricter volume confirmation
Fine-tune the ATR filter (0.03 in the script) based on your risk tolerance
This script provides both visual signals and automated strategy execution. You can use it in TradingView’s strategy tester to backtest its performance on different assets and timeframes.
Ichimoku + ROC Smart Trend StrategyG's Secret v1
This strategy combines Ichimoku Cloud structure with Rate of Change (ROC) momentum, enhanced by:
• 🔄 Adaptive trailing stop logic using ATR
• 🧠 Anti-chop filters to avoid sideways market noise
• ❄️ Cooldown system to reduce overtrading
BTC 1h bot 1.0 StrategyThis is Strategy version of BTC 1h bot 1.0.
Optimized for pairs BTC vs stablecoins, 1h timeframe.
HOW IT WORKS:
Script is based on the fact that there are certain phases of the market when there is a greater probability that BTC will go to one side or the other. To evaluate which phase we are in, the script uses "Main trend" and "Confirmation signals".
Main trend
- Is composed of a combination of several supertrends and moving averages. A supertrend is a trend following indicator that helps in identifying whether we are in an uptrend or a downtrend. A higher factor is used to capture the main trend and not just small movements. In case the market goes sideways, the supertrend does not work well, so it is a combination of multiple supertrends along with moving averages to differentiate a real strong trend from a range.
- It can be seen on the graph as a thick solid line.
- In an uptrend is green, in a downtrend red, gray represents the neutral zone.
Confirmation signals
- Are several script-evaluated indicators such as RSI , MACD , ADX and others, which serve to confirm the trend. In this case, it is the opposite way to the Main trend. Confirmation signals are used here to detect small movements. They are trying to capture bullish and bearish price momentum.
- On the graph they are seen as dashed lines above or below the Main trend (in the gray zone they are in the middle).
- It indicates only two signals, green for buy and red for sell.
HOW TO USE IT:
if the Main trend and Confirmation signals are of the same color, it will send a buy or sell signal, depending on which phase of the trend it is in. If the Main trend is e.g. in an uptrend and the market is going up, Confirmation signals should generate a lot of signals. But if the market starts to go in the opposite direction, Confirmation signals should generate fewer signals or none at all, thus reducing the number of wrong trades. In the gray zone of the Main trend it does not open positions.
To close position is possible to use stop loss and take profit or alternative could be to set very high TP value, thereby letting the script close the positions by itself.
In this case, it is a strategy to find out how the script worked in the past period. The longest period in which it is possible to test is on BTC/USD INDEX. The script works consistently well over a long period of time, using past probabilities, but this does not guarantee future results.