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.
Chỉ báo và chiến lược
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
Stock Buy SignalThis is for daily purchase strategy, buying at crosses of super trend followed by exit at 3%
Scalping Strategy Pro | Supertrend + VWAP + RSIDashboard Features:
Current Signal (BUY / SELL / No Trade)
Entry Price, Stop Loss, Take Profit
Real-time Risk:Reward ratio
Signal color highlight (green for buy, red for sell)
Responsive & clean layout for mobile or PC
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.
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
Maple&CBC StrategyEntry signal when:
ema's bullish or bearish in line + above/below vwap + cbc signal closed + profit taking on next cbc flip signal in reversed direction
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!
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.
TrendSync Pro (SMC)🔹 How to Adjust the Higher Timeframe (HTF) Filter
Click the Settings (Gear Icon) on your chart
Go to the "Inputs" tab
Find "Higher Timeframe" (default: 60 for 1-hour)
Change the value to match your strategy:
Scalping (1-5 min charts) → Use 15 or 30 for 15M/30M filter
Day Trading (15-30 min charts) → Use 60 (1H) or 240 (4H)
Swing Trading (1H+ charts) → Use D (Daily) or W (Weekly)
(Example: Trading on 15M? Set HTF to 60 for 1H confirmation.)
📊 Realistic Performance (15M Timeframe)
🔎 Statistical Backtest Results (100+ trades):
~50% Win Rate (Typical for trend strategies)
1:10 Risk-Reward (1% SL, 10% TP) → Profitable if trend holds
Best in Trending Markets (Avoid choppy/ranging conditions)
✅ Why It Works?
Catches strong momentum moves aligned with HTF
Small stops (1%) protect capital, while 10% TP rides trends
50% accuracy is enough when reward >> risk
📈 How to Improve Results?
Combine with SMC Confirmation Tools:
Check Order Blocks (entry near HTF premium/discount zones)
Wait for Liquidity Sweeps (stop hunts before trend reversals)
Confirm with Volume Spike (institutional participation)
Avoid Trading:
During Low Volatility (ADR < 50%)
Right Before Major News Events (FOMC, NFP)
Optimal Pairings:
For Forex: Use with ICT Power of 3 (15M + 1H + 4H)
For Crypto: Combine with Liquidation Heatmap
For Stocks: Align with VWAP + Market Profile
⚙️ Recommended Settings (15M Chart)
HTF Filter : 60 (1H) - Confirms trend direction
Trend Period : 20 - Balances responsiveness
SL (%) : 1% - Tight risk management
TP (%) : 10% - Let winners run
ATR SL (Optional) : 1.5x ATR - Dynamic stops in volatile markets
🚀 Final Tip
"Trade less, win bigger!"
This strategy thrives on high RR trades, not high frequency
1-2 quality setups/day often outperform 10+ scalps
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. 🚀
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.
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
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.
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.
The Crypto Wizard# The Crypto Wizard (Cwiz)
## Advanced Trading Framework for Cryptocurrency Markets
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The Crypto Wizard (Cwiz) offers a customizable, robust trading framework designed specifically for cryptocurrency market volatility. This open-source foundation provides essential components for building profitable automated trading strategies.
### Key Performance Indicators
| Metric | Value |
|--------|-------|
| Profit Factor | 1.992 |
| Sortino Ratio | 5.589 |
| Win Rate | ~40% |
| Max Drawdown | 15.82% |
### Core Features
- **Position Scaling System**: Intelligent position sizing with customizable multipliers and risk controls
- **Multi-layered Exit Strategy**: Combined take-profit, fixed stop-loss, and trailing stop mechanisms
- **Customizable Entry Framework**: Easily integrate your own entry signals and conditions
- **Comprehensive Visualization Tools**: Real-time performance tracking with position labels and indicators
### Setup Instructions
```pine PHEMEX:FARTCOINUSDT.P
// 1. Add to your chart and configure basic parameters
// 2. Adjust risk parameters based on your risk tolerance
// 3. Customize entry conditions or use defaults
// 4. Back-test across various market conditions
// 5. Enable live trading with careful monitoring
```
### Risk Management
Cwiz implements a sophisticated risk management system with:
- Automatic position size scaling
- User-defined maximum consecutive trades
- ATR-based dynamic stop loss placement
- Built-in circuit breakers for extreme market conditions
### Customization Options
The framework is designed for flexibility without compromising core functionality. Key customization points:
- Entry signal generation
- Position sizing parameters
- Stop loss and take profit multipliers
- Visualization preferences
### Recommended Usage
Best suited for volatile cryptocurrency markets with sufficient liquidity. Performs optimally in trending conditions but includes mechanisms to manage ranging markets.
---
*Disclaimer: Trading involves significant risk. Past performance is not indicative of future results. Always test thoroughly before live deployment.*
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.
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! 🚀
Fibonacci BB Strategy with RSI + 2% Exit📈 Fibonacci BB Strategy with RSI + 2% Profit Exit
This strategy combines a VWMA-based Bollinger Band system with RSI confirmation and a 2% profit-taking mechanism, offering a balanced blend of trend and momentum trading.
🔍 Key Features:
✅ VWMA-Based Bands: Uses a 200-period Volume Weighted Moving Average (VWMA) to create dynamic support and resistance bands with standard deviation. Helps capture trend direction with volume-weighted precision.
✅ Entry Signals:
Long Entry: When price crosses above the upper VWMA band.
Short Entry: When price crosses below the lower VWMA band.
✅ Exit Conditions:
Profit Target: Positions close automatically at a 2% profit (customizable).
RSI-Based Exit:
Longs close when RSI < 30 (oversold).
Shorts close when RSI > 70 (overbought).
✅ Built-in Risk Management: Avoids greed-based exits by locking in profits early or exiting on reversal signals.
⚙️ User Inputs:
VWMA length (default: 200)
Deviation multiplier for bands (default: 3.0)
RSI length (default: 14)
Profit target in % (default: 2%)
🧠 How to Use:
Works best in strong trending markets.
Can be combined with higher-timeframe trend filters or volume analysis.
Suitable for both swing trading and intraday strategies.
Multi-EMA Crossover StrategyMulti-EMA Crossover Strategy
This strategy uses multiple exponential moving average (EMA) crossovers to identify bullish trends and execute long trades. The approach involves progressively stronger signals as different EMA pairs cross, indicating increasing bullish momentum. Each crossover triggers a long entry, and the intensity of bullish sentiment is reflected in the color of the bars on the chart. Conversely, bearish trends are represented by red bars.
Strategy Logic:
First Long Entry: When the 1-day EMA crosses above the 5-day EMA, it signals initial bullish momentum.
Second Long Entry: When the 3-day EMA crosses above the 10-day EMA, it confirms stronger bullish sentiment.
Third Long Entry: When the 5-day EMA crosses above the 20-day EMA, it indicates further trend strength.
Fourth Long Entry: When the 10-day EMA crosses above the 40-day EMA, it suggests robust long-term bullish momentum.
The bar colors reflect these conditions:
More blue bars indicate stronger bullish sentiment as more short-term EMAs are above their longer-term counterparts.
Red bars represent bearish conditions when short-term EMAs are below longer-term ones.
Example: Bitcoin Trading on a Daily Timeframe
Bullish Scenario:
Imagine Bitcoin is trading at $30,000 on March 31, 2025:
First Signal: The 1-day EMA crosses above the 5-day EMA at $30,000. This suggests initial upward momentum, prompting a small long entry.
Second Signal: A few days later, the 3-day EMA crosses above the 10-day EMA at $31,000. This confirms strengthening bullish sentiment; another long position is added.
Third Signal: The 5-day EMA crosses above the 20-day EMA at $32,500, indicating further upward trend development; a third long entry is executed.
Fourth Signal: Finally, the 10-day EMA crosses above the 40-day EMA at $34,000. This signals robust long-term bullish momentum; a fourth long position is entered.
Bearish Scenario:
Suppose Bitcoin reverses from $34,000 to $28,000:
The 1-day EMA crosses below the 5-day EMA at $33,500.
The 3-day EMA dips below the 10-day EMA at $32,000.
The 5-day EMA falls below the 20-day EMA at $30,000.
The final bearish signal occurs when the 10-day EMA drops below the 40-day EMA at $28,000.
The bars turn increasingly red as bearish conditions strengthen.
Advantages of This Strategy:
Progressive Confirmation: Multiple crossovers provide layered confirmation of trend strength.
Visual Feedback: Bar colors help traders quickly assess market sentiment and adjust positions accordingly.
Flexibility: Suitable for trending markets like Bitcoin during strong rallies or downturns.
Limitations:
Lagging Signals: EMAs are lagging indicators and may react slowly to sudden price changes.
False Breakouts: Crossovers in choppy markets can lead to whipsaws or false signals.
This strategy works best in trending markets and should be combined with additional risk management techniques, e.g., stop loss or optimal position sizes (Kelly Criterion).
