CryptoPulseStoch AICryptoPulseStoch AI Strategy
This strategy combines Bollinger Bands, multi-timeframe EMAs (200 and 50), and Stochastic Oscillator for crypto trading signals on the 1-minute timeframe. Long entries trigger on Stochastic %K/%D crossovers in oversold zones with price breaking the lower Bollinger Band and an upward EMA trend; shorts on crossunders in overbought zones with price breaking the upper Bollinger Band and a downward EMA trend. Includes ATR-based risk management, position sizing, and R:R targets. Overlay on any chart; supports leverage (100% margin). Visual lines/labels for TP/SL/entries; alerts for webhooks.
- **Account Balance (Default: 10000)**: Initial balance for calculating risk and position size; increase for larger accounts.
- **BB Length (Default: 20)**: Periods for Bollinger Bands basis and deviation; shorter for more signals, longer for smoothing.
- **BB Multiplier (Default: 2.0)**: Std dev factor for band width; higher widens bands, reducing false breakouts.
- **Stochastic %K Length (Default: 14)**: Periods for Stochastic Oscillator %K calculation; adjust for sensitivity.
- **Stochastic Smooth K (Default: 1)**: Smoothing period for %K; higher values reduce noise.
- **Stochastic Smooth D (Default: 3)**: Smoothing period for %D; higher values smooth the signal line.
- **Overbought Level (Default: 70)**: Stochastic threshold for bearish signals; lower for more frequent signals.
- **Oversold Level (Default: 30)**: Stochastic threshold for bullish signals; higher for more frequent signals.
- **Risk Per Trade (%) (Default: 2.0)**: Account percentage risked per trade; lower for conservative sizing.
- **Risk:Reward Ratio (Default: 6.0)**: Target profit multiple of risk; higher aims for bigger wins.
- **SL Multiplier (Default: 9.0)**: ATR factor for stop loss distance; adjust based on volatility.
- **TP Multiplier (Default: 6.0)**: ATR factor for take profit distance, scaled by R:R; adjust for target distance.
- **Line Length (bars) (Default: 25)**: Bars to extend TP/SL/entry lines; longer for better visibility.
- **Label Position (Default: left)**: Text placement relative to lines (left/right); choose for chart clarity.
- **ATR Period (Default: 14)**: Periods for ATR volatility measure; affects SL, TP, and position size.
- **EMA Timeframe (Default: 5 min)**: Resolution for EMA 200/50 calculation; use lower TFs for finer trend confirmation.
- **Visuals**: BB plots (blue basis, green upper, red lower); EMA200 (red), EMA50 (green); Stochastic %K (blue), %D (orange); red/green lines/labels for sell/buy entries, SL (red), TP (green).
- **Alerts**: Conditions for buy/sell signals with webhook messages for integration (e.g., Bitget).
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CryptoPulse AI### CryptoPulse AI Strategy
This strategy combines Bollinger Bands, multi-timeframe EMAs (200 and 50), and candlestick wick detection for crypto trading signals. Long entries trigger on downward wicks breaking lower BB with upward EMA trend; shorts on upward wicks breaking upper BB with downward EMA trend. Includes ATR-based risk management, position sizing, and R:R targets. Overlay on any chart; supports leverage (100% margin). Visual lines/labels for TP/SL/entries; alerts for webhooks.
- **Account Balance (Default: 10000)**: Initial balance for calculating risk and position size; increase for larger accounts.
- **BB Length (Default: 20)**: Periods for Bollinger Bands basis and deviation; shorter for more signals, longer for smoothing.
- **BB Multiplier (Default: 2.0)**: Std dev factor for band width; higher widens bands, reducing false breakouts.
- **Wick to Body Ratio (Default: 1.1)**: Min wick size vs. body for valid signals (1.1 = 10% larger); higher requires stronger wicks.
- **Risk Per Trade (%) (Default: 2.0)**: Account percentage risked per trade; lower for conservative sizing.
- **Risk:Reward Ratio (Default: 6.0)**: Target profit multiple of risk; higher aims for bigger wins.
- **SL Multiplier (Default: 9.0)**: ATR factor for stop loss distance; adjust based on volatility.
- **Line Length (bars) (Default: 25)**: Bars to extend TP/SL/entry lines; longer for better visibility.
- **Label Position (Default: left)**: Text placement relative to lines (left/right); choose for chart clarity.
- **ATR Period (Default: 14)**: Periods for ATR volatility measure; affects SL and position size.
- **EMA Timeframe (Default: 5 min)**: Resolution for EMA 200/50 calculation; use lower TFs for finer trend confirmation.
- **Visuals**: BB plots (blue basis, green upper, red lower); EMA200 (red), EMA50 (green); red/green lines/labels for sell/buy entries, SL (red), TP (green).
- **Alerts**: Conditions for buy/sell signals with webhook messages for integration (e.g., Bitget).
SwingTrade ADX Strategy v6This is a swing trading strategy that combines VWAP (Volume Weighted Average Price), ADX (Average Directional Index) for trend strength, and volume ratios to generate long/short entry and exit signals. It's designed for daily charts but can be adapted.
#### Key Features:
- **Entries**: Based on VWAP crossovers, rising/falling delta (price deviation from VWAP), ADX trend confirmation, and volume ratios.
- **Exits**: Dynamic exits when VWAP delta reverses after a peak.
- **Filters**: Optional toggles for VWAP signals, ADX, and volume. Backtest date range for custom periods.
- **Visuals**: VWAP line, signal shapes/labels, and an info panel showing key metrics (VWAP Delta %, ADX, Volume Ratio).
- **Alerts**: Built-in alerts for buy/sell entries and exits.
#### How to Use:
1. Apply to your chart (e.g., stocks, forex, crypto).
2. Adjust parameters in the settings (e.g., ADX threshold, volume period).
3. Enable/disable indicators as needed.
4. Backtest using the date filters and review equity curve.
**Disclaimer**: This is for educational purposes only. Past performance is not indicative of future results. Not financial advice—trade at your own risk. Backtest thoroughly and use with proper risk management.
Feedback welcome! If you find it useful, give it a like.
Buy Dip Multiple Positions🎯 Objective
This strategy aims to capture aggressive dip-buying opportunities during volume-confirmed price reversals in short term downtrending markets. It is optimized for multi-entry precision, adaptive stop management, and real-time trade monitoring.
It allows traders to execute multiple long entries and dynamically trail stops to maximize gains while capping risk. Designed with modular inputs, this strategy is ideal for intraday momentum scalping and swing trading alike.
🔧 How It Operates
The strategy triggers buy entries when three conditions align:
Reversal Candle: Current close < prior low × 0.998
Volume Confirmation: Current volume exceeds average of prior 2 bars × 1.2
Price Surge Threshold: Current close below user-defined % of close from N bars ago
Once a reversal candle is confirmed, the strategy:
Calculates position size based on user-defined risk parameters
Allows up to a max number of simultaneous trades
Trailing Stop kicks in 2 bars after entry, climbing by a user-defined % each bar
Exit occurs when price hits either the trailing stop or target price
🛠️ Inputs
Users can customize all major aspects of the strategy:
Max Simultaneous Trades: Default 20
Trailing Stop Increase per Bar (%): Default 1%
Initial Stop (% of Reversal Low): Default 85%
Target Price (% Above Reversal Low): Default 60%
Price Surge Threshold (% of Past Close): Default 89%
Surge Lookback Bars: Default 14
Show Active Trade Dot: Toggle to display green trade status dot
📊 Visual Overlays
The chart displays the following:
Marker Description
🟢 Green Dot Active trade (toggleable)
🔴 Red Dot Max trades reached
📈 Trailing Stop Applied internally but not plotted (can be added)
📊 Metrics Plots of win rate, winning/losing trade counts
📎 Notes
Strategy uses strategy.cash allocation logic
Entry size adapts to account equity and risk per trade
All parameters are accessible via the settings panel
Built entirely in Pine Script v5
This strategy balances flexibility and precision, giving traders control over entry timing, capital allocation, and stop behavior. Ideal for those looking to automate dip-buy setups with tactical overlays and visual alerts.
Bober XM v2.0# ₿ober XM v2.0 Trading Bot Documentation
**Developer's Note**: While our previous Bot 1.3.1 was removed due to guideline violations, this setback only fueled our determination to create something even better. Rising from this challenge, Bober XM 2.0 emerges not just as an update, but as a complete reimagining with multi-timeframe analysis, enhanced filters, and superior adaptability. This adversity pushed us to innovate further and deliver a strategy that's smarter, more agile, and more powerful than ever before. Challenges create opportunity - welcome to Cryptobeat's finest work yet.
## !!!!You need to tune it for your own pair and timeframe and retune it periodicaly!!!!!
## Overview
The ₿ober XM v2.0 is an advanced dual-channel trading bot with multi-timeframe analysis capabilities. It integrates multiple technical indicators, customizable risk management, and advanced order execution via webhook for automated trading. The bot's distinctive feature is its separate channel systems for long and short positions, allowing for asymmetric trade strategies that adapt to different market conditions across multiple timeframes.
### Key Features
- **Multi-Timeframe Analysis**: Analyze price data across multiple timeframes simultaneously
- **Dual Channel System**: Separate parameter sets for long and short positions
- **Advanced Entry Filters**: RSI, Volatility, Volume, Bollinger Bands, and KEMAD filters
- **Machine Learning Moving Average**: Adaptive prediction-based channels
- **Multiple Entry Strategies**: Breakout, Pullback, and Mean Reversion modes
- **Risk Management**: Customizable stop-loss, take-profit, and trailing stop settings
- **Webhook Integration**: Compatible with external trading bots and platforms
### Strategy Components
| Component | Description |
|---------|-------------|
| **Dual Channel Trading** | Uses either Keltner Channels or Machine Learning Moving Average (MLMA) with separate settings for long and short positions |
| **MLMA Implementation** | Machine learning algorithm that predicts future price movements and creates adaptive bands |
| **Pivot Point SuperTrend** | Trend identification and confirmation system based on pivot points |
| **Three Entry Strategies** | Choose between Breakout, Pullback, or Mean Reversion approaches |
| **Advanced Filter System** | Multiple customizable filters with multi-timeframe support to avoid false signals |
| **Custom Exit Logic** | Exits based on OBV crossover of its moving average combined with pivot trend changes |
### Note for Novice Users
This is a fully featured real trading bot and can be tweaked for any ticker — SOL is just an example. It follows this structure:
1. **Indicator** – gives the initial signal
2. **Entry strategy** – decides when to open a trade
3. **Exit strategy** – defines when to close it
4. **Trend confirmation** – ensures the trade follows the market direction
5. **Filters** – cuts out noise and avoids weak setups
6. **Risk management** – controls losses and protects your capital
To tune it for a different pair, you'll need to start from scratch:
1. Select the timeframe (candle size)
2. Turn off all filters and trend entry/exit confirmations
3. Choose a channel type, channel source and entry strategy
4. Adjust risk parameters
5. Tune long and short settings for the channel
6. Fine-tune the Pivot Point Supertrend and Main Exit condition OBV
This will generate a lot of signals and activity on the chart. Your next task is to find the right combination of filters and settings to reduce noise and tune it for profitability.
### Default Strategy values
Default values are tuned for: Symbol BITGET:SOLUSDT.P 5min candle
Filters are off by default: Try to play with it to understand how it works
## Configuration Guide
### General Settings
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Long Positions** | Enable or disable long trades | Enabled |
| **Short Positions** | Enable or disable short trades | Enabled |
| **Risk/Reward Area** | Visual display of stop-loss and take-profit zones | Enabled |
| **Long Entry Source** | Price data used for long entry signals | hl2 (High+Low/2) |
| **Short Entry Source** | Price data used for short entry signals | hl2 (High+Low/2) |
The bot allows you to trade long positions, short positions, or both simultaneously. Each direction has its own set of parameters, allowing for fine-tuned strategies that recognize the asymmetric nature of market movements.
### Multi-Timeframe Settings
1. **Enable Multi-Timeframe Analysis**: Toggle 'Enable Multi-Timeframe Analysis' in the Multi-Timeframe Settings section
2. **Configure Timeframes**: Set appropriate higher timeframes based on your trading style:
- Timeframe 1: Default is now 15 minutes (intraday confirmation)
- Timeframe 2: Default is 4 hours (trend direction)
3. **Select Sources per Indicator**: For each indicator (RSI, KEMAD, Volume, etc.), choose:
- The desired timeframe (current, mtf1, or mtf2)
- The appropriate price type (open, high, low, close, hl2, hlc3, ohlc4)
### Entry Strategies
- **Breakout**: Enter when price breaks above/below the channel
- **Pullback**: Enter when price pulls back to the channel
- **Mean Reversion**: Enter when price is extended from the channel
You can enable different strategies for long and short positions.
### Core Components
### Risk Management
- **Position Size**: Control risk with percentage-based position sizing
- **Stop Loss Options**:
- Fixed: Set a specific price or percentage from entry
- ATR-based: Dynamic stop-loss based on market volatility
- Swing: Uses recent swing high/low points
- **Take Profit**: Multiple targets with percentage allocation
- **Trailing Stop**: Dynamic stop that follows price movement
## Advanced Usage Strategies
### Moving Average Type Selection Guide
- **SMA**: More stable in choppy markets, good for higher timeframes
- **EMA/WMA**: More responsive to recent price changes, better for entry signals
- **VWMA**: Adds volume weighting for stronger trends, use with Volume filter
- **HMA**: Balance between responsiveness and noise reduction, good for volatile markets
### Multi-Timeframe Strategy Approaches
- **Trend Confirmation**: Use higher timeframe RSI (mtf2) for overall trend, current timeframe for entries
- **Entry Precision**: Use KEMAD on current timeframe with volume filter on mtf1
- **False Signal Reduction**: Apply RSI filter on mtf1 with strict KEMAD settings
### Market Condition Optimization
| Market Condition | Recommended Settings |
|------------------|----------------------|
| **Trending** | Use Breakout strategy with KEMAD filter on higher timeframe |
| **Ranging** | Use Mean Reversion with strict RSI filter (mtf1) |
| **Volatile** | Increase ATR multipliers, use HMA for moving averages |
| **Low Volatility** | Decrease noise parameters, use pullback strategy |
## Webhook Integration
The strategy features a professional webhook system that allows direct connectivity to your exchange or trading platform of choice through third-party services like 3commas, Alertatron, or Autoview.
The webhook payload includes all necessary parameters for automated execution:
- Entry price and direction
- Stop loss and take profit levels
- Position size
- Custom identifier for webhook routing
## Performance Optimization Tips
1. **Start with Defaults**: Begin with the default settings for your timeframe before customizing
2. **Adjust One Component at a Time**: Make incremental changes and test the impact
3. **Match MA Types to Market Conditions**: Use appropriate moving average types based on the Market Condition Optimization table
4. **Timeframe Synergy**: Create logical relationships between timeframes (e.g., 5min chart with 15min and 4h higher timeframes)
5. **Periodic Retuning**: Markets evolve - regularly review and adjust parameters
## Common Setups
### Crypto Trend-Following
- MLMA with EMA or HMA
- Higher RSI thresholds (75/25)
- KEMAD filter on mtf1
- Breakout entry strategy
### Stock Swing Trading
- MLMA with SMA for stability
- Volume filter with higher threshold
- KEMAD with increased filter order
- Pullback entry strategy
### Forex Scalping
- MLMA with WMA and lower noise parameter
- RSI filter on current timeframe
- Use highest timeframe for trend direction only
- Mean Reversion strategy
## Webhook Configuration
- **Benefits**:
- Automated trade execution without manual intervention
- Immediate response to market conditions
- Consistent execution of your strategy
- **Implementation Notes**:
- Requires proper webhook configuration on your exchange or platform
- Test thoroughly with small position sizes before full deployment
- Consider latency between signal generation and execution
### Backtesting Period
Define a specific historical period to evaluate the bot's performance:
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Start Date** | Beginning of backtest period | January 1, 2025 |
| **End Date** | End of backtest period | December 31, 2026 |
- **Best Practice**: Test across different market conditions (bull markets, bear markets, sideways markets)
- **Limitation**: Past performance doesn't guarantee future results
## Entry and Exit Strategies
### Dual-Channel System
A key innovation of the Bober XM is its dual-channel approach:
- **Independent Parameters**: Each trade direction has its own channel settings
- **Asymmetric Trading**: Recognizes that markets often behave differently in uptrends versus downtrends
- **Optimized Performance**: Fine-tune settings for both bullish and bearish conditions
This approach allows the bot to adapt to the natural asymmetry of markets, where uptrends often develop gradually while downtrends can be sharp and sudden.
### Channel Types
#### 1. Keltner Channels
Traditional volatility-based channels using EMA and ATR:
| Setting | Long Default | Short Default |
|---------|--------------|---------------|
| **EMA Length** | 37 | 20 |
| **ATR Length** | 13 | 17 |
| **Multiplier** | 1.4 | 1.9 |
| **Source** | low | high |
- **Strengths**:
- Reliable in trending markets
- Less prone to whipsaws than Bollinger Bands
- Clear visual representation of volatility
- **Weaknesses**:
- Can lag during rapid market changes
- Less effective in choppy, non-trending markets
#### 2. Machine Learning Moving Average (MLMA)
Advanced predictive model using kernel regression (RBF kernel):
| Setting | Description | Options |
|---------|-------------|--------|
| **Source MA** | Price data used for MA calculations | Any price source (low/high/close/etc.) |
| **Moving Average Type** | Type of MA algorithm for calculations | SMA, EMA, WMA, VWMA, RMA, HMA |
| **Trend Source** | Price data used for trend determination | Any price source (close default) |
| **Window Size** | Historical window for MLMA calculations | 5+ (default: 16) |
| **Forecast Length** | Number of bars to forecast ahead | 1+ (default: 3) |
| **Noise Parameter** | Controls smoothness of prediction | 0.01+ (default: ~0.43) |
| **Band Multiplier** | Multiplier for channel width | 0.1+ (default: 0.5-0.6) |
- **Strengths**:
- Predictive rather than reactive
- Adapts quickly to changing market conditions
- Better at identifying trend reversals early
- **Weaknesses**:
- More computationally intensive
- Requires careful parameter tuning
- Can be sensitive to input data quality
### Entry Strategies
| Strategy | Description | Ideal Market Conditions |
|----------|-------------|-------------------------|
| **Breakout** | Enters when price breaks through channel bands, indicating strong momentum | High volatility, emerging trends |
| **Pullback** | Enters when price retraces to the middle band after testing extremes | Established trends with regular pullbacks |
| **Mean Reversion** | Enters at channel extremes, betting on a return to the mean | Range-bound or oscillating markets |
#### Breakout Strategy (Default)
- **Implementation**: Enters long when price crosses above the upper band, short when price crosses below the lower band
- **Strengths**: Captures strong momentum moves, performs well in trending markets
- **Weaknesses**: Can lead to late entries, higher risk of false breakouts
- **Optimization Tips**:
- Increase channel multiplier for fewer but more reliable signals
- Combine with volume confirmation for better accuracy
#### Pullback Strategy
- **Implementation**: Enters long when price pulls back to middle band during uptrend, short during downtrend pullbacks
- **Strengths**: Better entry prices, lower risk, higher probability setups
- **Weaknesses**: Misses some strong moves, requires clear trend identification
- **Optimization Tips**:
- Use with trend filters to confirm overall direction
- Adjust middle band calculation for market volatility
#### Mean Reversion Strategy
- **Implementation**: Enters long at lower band, short at upper band, expecting price to revert to the mean
- **Strengths**: Excellent entry prices, works well in ranging markets
- **Weaknesses**: Dangerous in strong trends, can lead to fighting the trend
- **Optimization Tips**:
- Implement strong trend filters to avoid counter-trend trades
- Use smaller position sizes due to higher risk nature
### Confirmation Indicators
#### Pivot Point SuperTrend
Combines pivot points with ATR-based SuperTrend for trend confirmation:
| Setting | Default Value |
|---------|---------------|
| **Pivot Period** | 25 |
| **ATR Factor** | 2.2 |
| **ATR Period** | 41 |
- **Function**: Identifies significant market turning points and confirms trend direction
- **Implementation**: Requires price to respect the SuperTrend line for trade confirmation
#### Weighted Moving Average (WMA)
Provides additional confirmation layer for entries:
| Setting | Default Value |
|---------|---------------|
| **Period** | 15 |
| **Source** | ohlc4 (average of Open, High, Low, Close) |
- **Function**: Confirms trend direction and filters out low-quality signals
- **Implementation**: Price must be above WMA for longs, below for shorts
### Exit Strategies
#### On-Balance Volume (OBV) Based Exits
Uses volume flow to identify potential reversals:
| Setting | Default Value |
|---------|---------------|
| **Source** | ohlc4 |
| **MA Type** | HMA (Options: SMA, EMA, WMA, RMA, VWMA, HMA) |
| **Period** | 22 |
- **Function**: Identifies divergences between price and volume to exit before reversals
- **Implementation**: Exits when OBV crosses its moving average in the opposite direction
- **Customizable MA Type**: Different MA types provide varying sensitivity to OBV changes:
- **SMA**: Traditional simple average, equal weight to all periods
- **EMA**: More weight to recent data, responds faster to price changes
- **WMA**: Weighted by recency, smoother than EMA
- **RMA**: Similar to EMA but smoother, reduces noise
- **VWMA**: Factors in volume, helpful for OBV confirmation
- **HMA**: Reduces lag while maintaining smoothness (default)
#### ADX Exit Confirmation
Uses Average Directional Index to confirm trend exhaustion:
| Setting | Default Value |
|---------|---------------|
| **ADX Threshold** | 35 |
| **ADX Smoothing** | 60 |
| **DI Length** | 60 |
- **Function**: Confirms trend weakness before exiting positions
- **Implementation**: Requires ADX to drop below threshold or DI lines to cross
## Filter System
### RSI Filter
- **Function**: Controls entries based on momentum conditions
- **Parameters**:
- Period: 15 (default)
- Overbought level: 71
- Oversold level: 23
- Multi-timeframe support: Current, MTF1 (15min), or MTF2 (4h)
- Customizable price source (open, high, low, close, hl2, hlc3, ohlc4)
- **Implementation**: Blocks long entries when RSI > overbought, short entries when RSI < oversold
### Volatility Filter
- **Function**: Prevents trading during excessive market volatility
- **Parameters**:
- Measure: ATR (Average True Range)
- Period: Customizable (default varies by timeframe)
- Threshold: Adjustable multiplier
- Multi-timeframe support
- Customizable price source
- **Implementation**: Blocks trades when current volatility exceeds threshold × average volatility
### Volume Filter
- **Function**: Ensures adequate market liquidity for trades
- **Parameters**:
- Threshold: 0.4× average (default)
- Measurement period: 5 (default)
- Moving average type: Customizable (HMA default)
- Multi-timeframe support
- Customizable price source
- **Implementation**: Requires current volume to exceed threshold × average volume
### Bollinger Bands Filter
- **Function**: Controls entries based on price relative to statistical boundaries
- **Parameters**:
- Period: Customizable
- Standard deviation multiplier: Adjustable
- Moving average type: Customizable
- Multi-timeframe support
- Customizable price source
- **Implementation**: Can require price to be within bands or breaking out of bands depending on strategy
### KEMAD Filter (Kalman EMA Distance)
- **Function**: Advanced trend confirmation using Kalman filter algorithm
- **Parameters**:
- Process Noise: 0.35 (controls smoothness)
- Measurement Noise: 24 (controls reactivity)
- Filter Order: 6 (higher = more smoothing)
- ATR Length: 8 (for bandwidth calculation)
- Upper Multiplier: 2.0 (for long signals)
- Lower Multiplier: 2.7 (for short signals)
- Multi-timeframe support
- Customizable visual indicators
- **Implementation**: Generates signals based on price position relative to Kalman-filtered EMA bands
## Risk Management System
### Position Sizing
Automatically calculates position size based on account equity and risk parameters:
| Setting | Default Value |
|---------|---------------|
| **Risk % of Equity** | 50% |
- **Implementation**:
- Position size = (Account equity × Risk %) ÷ (Entry price × Stop loss distance)
- Adjusts automatically based on volatility and stop placement
- **Best Practices**:
- Start with lower risk percentages (1-2%) until strategy is proven
- Consider reducing risk during high volatility periods
### Stop-Loss Methods
Multiple stop-loss calculation methods with separate configurations for long and short positions:
| Method | Description | Configuration |
|--------|-------------|---------------|
| **ATR-Based** | Dynamic stops based on volatility | ATR Period: 14, Multiplier: 2.0 |
| **Percentage** | Fixed percentage from entry | Long: 1.5%, Short: 1.5% |
| **PIP-Based** | Fixed currency unit distance | 10.0 pips |
- **Implementation Notes**:
- ATR-based stops adapt to changing market volatility
- Percentage stops maintain consistent risk exposure
- PIP-based stops provide precise control in stable markets
### Trailing Stops
Locks in profits by adjusting stop-loss levels as price moves favorably:
| Setting | Default Value |
|---------|---------------|
| **Stop-Loss %** | 1.5% |
| **Activation Threshold** | 2.1% |
| **Trailing Distance** | 1.4% |
- **Implementation**:
- Initial stop remains fixed until profit reaches activation threshold
- Once activated, stop follows price at specified distance
- Locks in profit while allowing room for normal price fluctuations
### Risk-Reward Parameters
Defines the relationship between risk and potential reward:
| Setting | Default Value |
|---------|---------------|
| **Risk-Reward Ratio** | 1.4 |
| **Take Profit %** | 2.4% |
| **Stop-Loss %** | 1.5% |
- **Implementation**:
- Take profit distance = Stop loss distance × Risk-reward ratio
- Higher ratios require fewer winning trades for profitability
- Lower ratios increase win rate but reduce average profit
### Filter Combinations
The strategy allows for simultaneous application of multiple filters:
- **Recommended Combinations**:
- Trending markets: RSI + KEMAD filters
- Ranging markets: Bollinger Bands + Volatility filters
- All markets: Volume filter as minimum requirement
- **Performance Impact**:
- Each additional filter reduces the number of trades
- Quality of remaining trades typically improves
- Optimal combination depends on market conditions and timeframe
### Multi-Timeframe Filter Applications
| Filter Type | Current Timeframe | MTF1 (15min) | MTF2 (4h) |
|-------------|-------------------|-------------|------------|
| RSI | Quick entries/exits | Intraday trend | Overall trend |
| Volume | Immediate liquidity | Sustained support | Market participation |
| Volatility | Entry timing | Short-term risk | Regime changes |
| KEMAD | Precise signals | Trend confirmation | Major reversals |
## Visual Indicators and Chart Analysis
The bot provides comprehensive visual feedback on the chart:
- **Channel Bands**: Keltner or MLMA bands showing potential support/resistance
- **Pivot SuperTrend**: Colored line showing trend direction and potential reversal points
- **Entry/Exit Markers**: Annotations showing actual trade entries and exits
- **Risk/Reward Zones**: Visual representation of stop-loss and take-profit levels
These visual elements allow for:
- Real-time strategy assessment
- Post-trade analysis and optimization
- Educational understanding of the strategy logic
## Implementation Guide
### TradingView Setup
1. Load the script in TradingView Pine Editor
2. Apply to your preferred chart and timeframe
3. Adjust parameters based on your trading preferences
4. Enable alerts for webhook integration
### Webhook Integration
1. Configure webhook URL in TradingView alerts
2. Set up receiving endpoint on your trading platform
3. Define message format matching the bot's output
4. Test with small position sizes before full deployment
### Optimization Process
1. Backtest across different market conditions
2. Identify parameter sensitivity through multiple tests
3. Focus on risk management parameters first
4. Fine-tune entry/exit conditions based on performance metrics
5. Validate with out-of-sample testing
## Performance Considerations
### Strengths
- Adaptability to different market conditions through dual channels
- Multiple layers of confirmation reducing false signals
- Comprehensive risk management protecting capital
- Machine learning integration for predictive edge
### Limitations
- Complex parameter set requiring careful optimization
- Potential over-optimization risk with so many variables
- Computational intensity of MLMA calculations
- Dependency on proper webhook configuration for execution
### Best Practices
- Start with conservative risk settings (1-2% of equity)
- Test thoroughly in demo environment before live trading
- Monitor performance regularly and adjust parameters
- Consider market regime changes when evaluating results
## Conclusion
The ₿ober XM v2.0 represents a significant evolution in trading strategy design, combining traditional technical analysis with machine learning elements and multi-timeframe analysis. The core strength of this system lies in its adaptability and recognition of market asymmetry.
### Market Asymmetry and Adaptive Approach
The strategy acknowledges a fundamental truth about markets: bullish and bearish phases behave differently and should be treated as distinct environments. The dual-channel system with separate parameters for long and short positions directly addresses this asymmetry, allowing for optimized performance regardless of market direction.
### Targeted Backtesting Philosophy
It's counterproductive to run backtests over excessively long periods. Markets evolve continuously, and strategies that worked in previous market regimes may be ineffective in current conditions. Instead:
- Test specific market phases separately (bull markets, bear markets, range-bound periods)
- Regularly re-optimize parameters as market conditions change
- Focus on recent performance with higher weight than historical results
- Test across multiple timeframes to ensure robustness
### Multi-Timeframe Analysis as a Game-Changer
The integration of multi-timeframe analysis fundamentally transforms the strategy's effectiveness:
- **Increased Safety**: Higher timeframe confirmations reduce false signals and improve trade quality
- **Context Awareness**: Decisions made with awareness of larger trends reduce adverse entries
- **Adaptable Precision**: Apply strict filters on lower timeframes while maintaining awareness of broader conditions
- **Reduced Noise**: Higher timeframe data naturally filters market noise that can trigger poor entries
The ₿ober XM v2.0 provides traders with a framework that acknowledges market complexity while offering practical tools to navigate it. With proper setup, realistic expectations, and attention to changing market conditions, it delivers a sophisticated approach to systematic trading that can be continuously refined and optimized.
Ai BTC Signals Buy & Whales / Liquidation - Strategy [Ai Whales]Dear Trader,
The development involved professional analysts and incorporated AI to adapt signals to the modern, constantly changing, and highly volatile BTCUSD market, also taking into account the presence and actions of large institutional players — the so-called "Whales." The strategy allows you to instantly evaluate any configuration you set within the indicator and see the results reflected in professional performance metrics aligned with your chosen strategy.
The indicator displays several signals on the chart:
1) Buy signal (not sell signals)
2) Take profit line and price
3) Stop loss line and price
4) Manipulations & Liquidations observed in the market
5) Whale activity—buying in small, medium, and large amounts
The indicator does not repaint because it is based on showing signals only after the candle closes, so the calculations are true and not distorted.
Recommended pair: BTCUSD ; BTCUSDT ; BTCUSDTP and same.
The indicator can show R/R - 0.5:1 1:1 1:2 1:3 1:4
Recommended timeframes for use: from 4 hours up to 1 week, with the ideal being 1 day. However, you are free to experiment with other near timeframes.
Possible trading modes: spot or futures.
Some methods used in the calculations of the indicator:
- statistical patterns that have the ability to repeat in the future. Bitcoin cycles in different market phases that also have the ability to repeat and are included in the indicator,
- miners' capitulation and hashrate level are also taken into account by the indicator,
- candle volumes and their deltas are taken into account in the calculations,
- as well as other bases such as RSI and its divergence, the crossing of EMA of various configurations and etc.
**How the strategy calculates positions:**
A position opens at the Buy signal level and is fixed at the level of the thick green line, which serves as the primary take profit target. Pyramiding (adding to positions) can be enabled in the settings.
The size of each position is adjustable via the settings. Importantly, each signal creates its own take profit lines. When pyramiding is enabled, all positions are eventually closed at the nearest take profit level generated by any of the pyramiding signals. This approach minimizes potential losses if the price doesn’t reach the maximum take profit levels initially set; the strategy closes positions at the closest available take profit level. This conservative method for strategy reduces risk, although ideally, each position in the pyramid should be closed at an individual take-profit level, which would lead to even better results during deep backtesting.
The strategy includes alerts that can be configured based on your platform’s capabilities. Alerts trigger on the chart when "Buy" or "Whale" signals are detected.
**Settings Overview:**
- Inside the strategy: default platform options.
- Inside the indicato have some filters:
1) allows traders to choose display modes
2) position entries based on market phase—rising or falling
3) can also select whether to trade after manipulations and liquidations
4) can also select whether to trade after whale activity (small medium or big amounts of whales).
You can manually adjust take profit and stop loss levels via simple method selections, making these flexible yet user-friendly. The indicator offers three main styles:
- "Universal" (standard levels)
- "Aggressive"
- "Conservative"
**Performance and caveats:**
Deep Backtested from day one of Bitcoin’s listing on various exchanges under specific conditions (no liquidations, certain settings), the indicator has shown a maximum drawdown of about 5-15%, with final returns surpassing "buy and hold" more than 1000000% and WinRate 93-100% However, it’s crucial to understand that such spectacular past performance does not guarantee future results.
If you are serious about your investments, remember that geopolitical events, institutional shifts, or other unforeseen factors can significantly impact Bitcoin’s price—or even its existence. Unfortunately, AI has not yet learned to fully account for these macro conditions within its adaptive mechanisms.
Trade wisely, and use this powerful tool responsibly.
Best regards,
SwingTrade VWAP Strategy[TiamatCrypto]V1.1This Pine Script® code creates a trading strategy called "SwingTrade VWAP Strategy V1.1." This strategy incorporates various trading tools, such as VWAP (Volume Weighted Average Price), ADX (Average Directional Index), and volume signals. Below is an explanation of the components and logic within the script:
### Overview of Features
- **VWAP:** A volume-weighted moving average that assesses price trends relative to the VWAP level.
- **ADX:** A trend strength indicator that helps confirm the strength of bullish or bearish trends.
- **Volume Analysis:** Leverages volume data to gauge momentum and identify volume-weighted buy/sell conditions.
- **Dynamic Entry/Exit Signals:** Combines the above indicators to produce actionable buy/sell or exit signals.
- **Customizable Inputs:** Inputs for tuning parameters like VWAP period, ADX thresholds, and volume sensitivity.
---
### **Code Breakdown**
#### **Input Parameters**
The script begins by defining several user-configurable variables under groups. These include indicators' on/off switches (`showVWAP`, `enableADX`, `enableVolume`) and input parameters for VWAP, ADX thresholds, and volume sensitivity:
- **VWAP Period and Threshold:** Controls sensitivity for VWAP signal generation.
- **ADX Settings:** Allows users to configure the ADX period and strength threshold.
- **Volume Ratio:** Detects bullish/bearish conditions based on relative volume patterns.
---
#### **VWAP Calculation**
The script calculates VWAP using the formula:
\
Where `P` is the typical price (`(high + low + close)/3`) and `V` is the volume.
- It resets cumulative values (`sumPV` and `sumV`) at the start of each day.
- Delta percentage (`deltaPercent`) is calculated as the percentage difference between the close price and the VWAP.
---
#### **Indicators and Signals**
1. **VWAP Trend Signals:**
- Identifies bullish/bearish conditions based on price movement (`aboveVWAP`, `belowVWAP`) and whether the price is crossing the VWAP level (`crossingUp`, `crossingDown`).
- Also detects rising/falling delta changes based on the VWAP threshold.
2. **ADX Calculation:**
- Calculates the directional movement (`PlusDM`, `MinusDM`) and smoothed values for `PlusDI`, `MinusDI`, and `ADX`.
- Confirms strong bullish/bearish trends when ADX crosses the defined threshold.
3. **Volume-Based Signals:**
- Evaluates the ratio of bullish volume (when `close > VWAP`) to bearish volume (when `close < VWAP`) over a specified lookback period.
---
#### **Trade Signals**
The buy and sell signals are determined by combining conditions from the VWAP, ADX, and volume signals:
- **Buy Signal:** Triggered when price upward crossover VWAP, delta rises above the threshold, ADX indicates a strong bullish trend, and volume confirms bullish momentum.
- **Sell Signal:** Triggered under inverse conditions.
- Additionally, exit conditions (`exitLong` and `exitShort`) are based on VWAP crossovers combined with the reversal of delta values.
---
#### **Plotting and Display**
The strategy plots VWAP on the chart and adds signal markers for:
- **Buy/Long Entry:** Green triangle below bars.
- **Sell/Short Entry:** Red triangle above bars.
- **Exit Signals:** Lime or orange "X" shapes for exits from long/short positions.
- Additionally, optional text labels are displayed to indicate the type of signal.
---
#### **Trading Logic**
The script's trading logic executes as follows:
- **Entries:**
- Executes long trades when the `buySignal` condition is true.
- Executes short trades when the `sellSignal` condition is true.
- **Exits:**
- Closes long positions upon `exitLong` conditions.
- Closes short positions upon `exitShort` conditions.
- The strategy calculates profits and visualizes the trade entry, exit, and running profit within the chart.
---
#### **Alerts**
Alerts are set up to notify traders via custom signals for buy and sell trades.
---
### **Use Case**
This script is suitable for day traders, swing traders, or algorithmic traders who rely on confluence signals from VWAP, ADX, and volume momentum. Its modular structure (e.g., the ability to enable/disable specific indicators) makes it highly customizable for various trading styles and financial instruments.
#### **Customizability**
- Adjust VWAP, ADX, and volume sensitivity levels to fit unique market conditions or asset classes.
- Turn off specific criteria to focus only on VWAP or ADX signals if desired.
#### **Caution**
As with all trading strategies, this script should be used for backtesting and analysis before live implementation. It's essential to validate its performance on historical data while considering factors like slippage and transaction costs.
Trend Surge Wick SniperTrend Surge Wick Sniper | Non-Repainting Trend + Momentum Strategy with TP1/TP2 & Dashboard
Trend Surge Wick Sniper is a complete crypto trading strategy designed for high-precision entries, smart exits, and non-repainting execution. It combines trend slope, wick rejection, volume confirmation, and CCI momentum filters into a seamless system that works in real-time conditions — whether you're manual trading or sending alerts to multi-exchange bots.
🧩 System Architecture Overview
This is not just a mashup of indicators — each layer is tightly integrated to filter for confirmed, high-quality setups. Here’s a detailed breakdown:
📈 Trend Logic
1. McGinley Dynamic Baseline
A responsive moving average that adapts to market speed better than EMA or SMA.
Smooths price while staying close to real action, making it ideal for basing alignment or trend context.
2. Gradient Slope Filter (ATR-normalized)
Calculates the difference between current and past McGinley values, divided by ATR for normalization.
If the slope exceeds a configurable threshold, it confirms an active uptrend or downtrend.
Optional loosened sensitivity allows for more frequent but still valid trades.
🚀 Momentum Timing
3. Smoothed CCI (ZLEMA / Hull / VWMA options)
Traditional CCI is enhanced with smoothing for stability.
Signals trades only when momentum is strong and accelerating.
Optional settings let users tune how responsive or smooth they want the CCI behavior to be.
🔒 Entry Filtering & Rejection Logic
4. Wick Trap Detection
Prevents entry during manipulated candles (e.g. stop hunts, wick traps).
Measures wick-to-body ratio against a minimum body size normalized by ATR.
Only trades when the candle shows a clean body and no manipulation.
5. Price Action Filters (Optional)
Long trades require price to break above previous high (or skip this with a toggle).
Short trades require price to break below previous low (or skip this with a toggle).
Ensures you're trading only when price structure confirms the breakout.
6. McGinley Alignment (Optional)
Price must be on the correct side of the McGinley line (above for longs, below for shorts).
Ensures that trades align with baseline trend, preventing early or fading entries.
📊 Volume Logic
7. Volume Spike Detection
Confirms that a real move is underway by requiring volume to exceed a moving average by a user-defined multiplier.
Uses SMA / EMA / VWMA for customizable behavior.
Optional relative volume mode compares volume against typical volume at that same time of day.
8. Volume Trend Filter
Compares fast vs. slow EMA of the volume spike ratio.
Ensures volume is not just spiking, but also increasing overall.
Prevents trades during volume exhaustion or fading participation.
9. Volume Strength Label
Classifies each bar’s volume as: Low, Average, High, or Very High
Shown in the dashboard for context before entries.
🎯 Entry Conditions
An entry occurs when all of the following align:
✅ Trend confirmed via gradient slope
✅ Momentum confirmed via smoothed CCI
✅ No wick trap pattern
✅ Price structure & McGinley alignment (if toggled on)
✅ Volume confirms participation
✅ 1-bar cooldown since last exit
💰 TP1 & TP2 Exit System
TP1 = 50% of position closed using a limit order at a % profit (e.g., 2%)
TP2 = remaining 50% closed at a second profit level (e.g., 4%)
These are set as limit orders at the time of entry and work even on backtest.
Alerts are sent separately for TP1 and TP2 to allow bot handling of staggered exits.
🧠 Trade Logic Controls
✅ process_orders_on_close=true ensures non-repainting behavior
✅ 1-bar cooldown after any exit prevents same-bar reversals
✅ Built-in canEnter condition ensures trades are separated and clean
✅ Alerts use customizable strings for entry/exit/TP1/TP2 — ready for webhook automation
📊 Real-Time On-Chart Dashboard
Toggleable, movable dashboard shows live trading stats:
🔵 Current Position: Long / Short / Flat
🎯 Entry Price
✅ TP1 / TP2 Hit Status
📈 Trend Direction: Up / Down / Flat
🔊 Volume Strength: Low / Average / High / Very High
🎛 Size and corner are adjustable via input settings
⚠️ Designed For:
1H / 4H Crypto Trading
Manual Traders & Webhook-Connected Bots
Scalability across volatile market conditions
Full TradingView backtest compatibility (no repainting / no fake signals)
📌 Notes
You can switch CCI smoothing type, volume MA type, and other filters via the settings panel.
Default TP1/TP2 levels are set to 2% and 4%, but fully customizable.
🛡 Disclaimer
This script is for educational purposes only and not financial advice. Use with backtesting and risk management before live deployment.
Trend Harvester PRO Trend Harvester PRO – Adaptive Trend-Following Strategy for Crypto
Trend Harvester PRO is a fully systematic trend-following strategy built for cryptocurrency markets on intraday timeframes — particularly optimized for the 1-hour chart. The script combines ZLEMA-based trend tracking, momentum confirmation, and a volatility-aware filter to detect high-probability directional moves with clarity and precision.
This is not a mashup of random indicators — each component serves a specific purpose in validating trends, avoiding choppy zones, and timing entries responsibly.
🔍 Strategy Logic Overview
The core objective is to detect sustainable, real-time trends and exit with multi-stage profit targets. To do this, the script uses several layers of confirmation:
1. 📊 ZLEMA Trend Engine (Zero Lag EMA)
This is the backbone of the strategy.
ZLEMA (Zero-Lag EMA) is a moving average that minimizes lag by adjusting for past data offset.
The strategy uses a fast ZLEMA and a slow ZLEMA, combined with a slope calculation, to assess the current trend.
When:
Fast ZLEMA > Slow ZLEMA
The ZLEMA is rising (positive slope)
→ The market is considered in an uptrend.
Conversely, if:
Fast ZLEMA < Slow ZLEMA
The slope is negative
→ The market is considered in a downtrend.
This setup detects not just direction, but also whether the trend has meaningful acceleration.
2. ⚡ Momentum Confirmation
Trend direction alone isn’t enough — we also need momentum agreement.
The script calculates a smoothed Rate of Change (ROC) to evaluate if momentum supports the direction of the ZLEMA trend.
For long trades: ROC must be positive
For short trades: ROC must be negative
This prevents taking trades where price is crossing moving averages but lacks follow-through power.
3. 🌪️ Volatility Filter
Choppy markets are common in crypto. To reduce false signals:
The script compares short-term volatility (10-bar standard deviation of price changes) to longer-term volatility.
If the ratio is too high (i.e., short-term volatility is spiking), the strategy avoids entry.
This ensures trades are only taken when the market is relatively calm and directional — avoiding false breakouts.
4. 🧠 Confirmation Bars + Trend State
Signals only trigger after a certain number of consecutive bars confirm trend direction (confirmBars).
This prevents reacting to just 1 candle and requires consistent evidence of trend.
A state machine is used to track current trend status:
+1 = confirmed uptrend
-1 = confirmed downtrend
0 = neutral / no trade
This trend state changes only after all conditions are met and confirmation bars pass.
5. 🧊 Cooldown Enforcement
After a trade exits (from TP or a trend reversal), the strategy enforces a cooldown period before new entries are allowed. This:
Prevents back-to-back entries on trend flips
Reduces overtrading
Helps avoid whipsaws or same-bar reversal trades
6. 🎯 Multi-Level Take Profits (TP1 & TP2)
Once a trade is entered:
Two limit exits are set automatically:
TP1: Closes 50% of the position at a configurable profit level
TP2: Closes the remaining 50%
If the trend weakens before TP2 is reached, the position is closed early.
Both long and short trades use the same logic, with user-defined percentages.
This system allows for partial profit-taking while keeping a portion of the trade running.
7. 🧾 Built-in Dashboard
The script includes a real-time dashboard showing:
Trend direction: Bullish, Bearish, or Neutral
Whether TP1 / TP2 was hit
Entry price
If currently in a trade
How many bars the trade has been open
This helps monitor strategy performance at a glance without needing extra labels.
8. 🔔 Webhook-Compatible Alerts
The strategy includes custom alerts that can be used for:
Long and Short entries
TP1 and TP2 hits
Exiting trades
These can be integrated into automated bot systems or used manually.
🔒 Non-Repainting Logic
The strategy uses only confirmed bar data (i.e., values from closed bars).
There are no repainting indicators.
Entries and exits are placed using strategy.entry and strategy.exit on confirmed conditions.
✅ How to Use It
Apply the strategy to 1H altcoin charts (BTC, ETH, SOL, etc.).
Tune the TP percentages (longTP1Pct, longTP2Pct, etc.) based on volatility.
Use the dashboard to monitor trend state and trade progress.
Combine with additional tools (like support/resistance or volume) for higher confluence.
Use the date filter to run backtests over defined periods.
⚠️ Risk Management Notice
This strategy does not include stop losses by default. It is designed to exit based on trend reversal or take-profit limits.
Always backtest thoroughly and use realistic sizing.
Do not risk more than 5–10% of your account on any trade.
Past results do not guarantee future performance. This tool is for educational and research purposes.
🧬 What Makes This Original
Trend Harvester PRO was built from scratch with tightly integrated logic:
ZLEMA tracks early trend direction with low lag
ROC confirms momentum in the same direction
Volatility filter avoids false setups
Multi-bar confirmation and cooldown logic control trade pacing
Dual TP exits manage partial profit-taking
A live dashboard makes real-time tracking intuitive
Unlike mashups of indicators with no synergy, each component here directly supports the quality of trade decisions, and the logic is modular, transparent, and non-repainting.
Titan X 📈 Titan X – Optimized Trend Strategy with Gradient ZLEMA, RMI, CCI, ROC, and Volume Confirmation
Titan X is a precision-engineered trend-following strategy designed for crypto markets and high-volatility assets. It is not just a combination of indicators, but a carefully constructed, non-repainting system where each component plays a specific role in confirming high-probability trade setups. The strategy detects strong directional moves, confirms them with momentum and volume, and manages trade exits without relying on traditional stop losses.
🔍 How the Indicators Work Together
✅ 1. ZLEMA Baseline + Gradient Filter
A Zero Lag Exponential Moving Average (ZLEMA) is used to track directional trend with minimal lag.
A gradient (slope) is calculated from the ZLEMA to measure trend acceleration. This confirms whether a trend is gaining strength or losing momentum.
Entries are only taken when the ZLEMA gradient exceeds a user-defined threshold, ensuring trades are only taken in strong, developing trends.
✅ 2. RMI – Relative Momentum Index (with Memory)
RMI captures sustained momentum direction over time.
It helps validate that price isn't just spiking, but truly trending.
Titan X uses RMI as a trend memory filter, requiring consistent momentum alignment before entry.
✅ 3. Momentum Timing – ROC + CCI
The Rate of Change (ROC) determines the strength and direction of recent momentum.
The Commodity Channel Index (CCI) checks price deviation from a moving average baseline, identifying whether momentum is aligned with market structure.
This combo prevents trades in weak, flat, or conflicting conditions.
✅ 4. Volume Spike Confirmation
Titan X uses a relative volume filter, requiring the current bar’s volume to exceed a moving average threshold.
This ensures trades are only triggered when there is clear breakout interest from market participants, helping avoid fakeouts and low-volume moves.
🎯 Trade Entry & Exit Rules
✅ Entry Conditions:
All five filters must align:
Trend direction (ZLEMA slope)
Momentum (ROC & CCI)
Trend memory (RMI)
Volume (Spike filter)
Trades are entered on the next bar after all confirmations, ensuring 100% non-repainting behavior.
✅ Take Profit System (Multi-Level TP):
TP1: Closes 50% of the position at a user-defined % gain (default: 2%)
TP2: Closes the remaining 50% of the position at a higher % gain (default: 4%)
Each TP is executed via limit order to ensure realistic and backtestable fills.
❌ No Stop Loss Used
Instead of using fixed stop losses, Titan X closes positions early when trend conditions weaken.
This dynamic exit logic is based on a reversal in ZLEMA gradient, which serves as a weak trend detection system.
⏱️ Cooldown Logic
A 1-bar cooldown is enforced between trades to avoid same-bar exit/entry violations on TradingView.
This improves execution accuracy and avoids overtrading on choppy price action.
📊 Real-Time Strategy Dashboard
Titan X includes a live dashboard that provides full transparency:
Current Position (Long / Short / Flat)
Entry Price
TP1 Hit? / TP2 Hit?
Bars Since Entry
Win Rate (%)
Profit Factor
Ideal for both manual monitoring and automated bot strategies.
🔔 Bot-Ready Multi-Exchange Alerts
Alerts can be configured for:
ENTER-LONG, ENTER-SHORT
EXIT-LONG, EXIT-SHORT
TP1 / TP2 targets
Messages are fully customizable and designed for platforms like:
WonderTrading
3Commas
TradingConnector
⚙️ Designed For:
Timeframes: 1H and 4H (optimized for crypto)
Markets: Altcoins, BTC/ETH, high-volatility pairs
Traders: Trend-followers, momentum scalpers, algo bot users
Goal: High accuracy entries, structured exits, zero repainting, and flexible trade management
⚠️ TradingView Disclosure
This strategy is provided for educational purposes only. It does not constitute investment advice, nor does it guarantee any returns. Trading carries risk; test thoroughly before using in live environments.
Phantom Trigger Phantom Trigger – Precision Trend Execution with TP1/TP2 and Weak Trend Exits
Phantom Trigger is a professional-grade trend-following strategy designed for crypto and high-volatility assets. It combines advanced trend detection with precise risk-managed exits using a multi-level take-profit system.
🔍 What It Does
Identifies strong directional moves using a multi-stage smoothed trend model
Confirms entries using structure-based logic and volume pressure
Filters trades using bias zones, confirmation levels, and trend acceleration
Automatically manages trades with two-stage take-profits (TP1 and TP2)
Exits early on trend weakness before reversal
Includes a styled real-time dashboard and bar coloring for visual guidance
Sends bot-compatible alerts for multi-exchange automation
⚙️ Core Components
Trend Engine: A smoothed dynamic filter detects real-time trend direction and momentum shifts
Bias Structure: Mid-high/low range-based logic determines if price is favoring bullish or bearish structure
Confirmation Levels: Short- and long-term zone crossovers confirm directional alignment
Volume Filter: Detects volume expansion spikes to validate strong breakout potential
TP1/TP2 Logic: Dynamically sets two profit targets and executes partial and full exits automatically
Weak Trend Exit: Closes positions one bar before reversal using directional filters
🧠 How to Use
Works best on crypto (1H, 4H) and high-volume instruments
Use dashboard stats to monitor position status, PnL, and TP1/TP2 progression
Alerts are pre-labeled and compatible with bots like 3Commas, Wunderbit, etc.
Can be adapted for both scalping and swing trading
📊 Dashboard
The built-in real-time dashboard displays current trade status, entry price, TP1/TP2 progress, win rate, profit factor, and bars since entry. It updates live with every candle and provides a quick-glance overview to support your decision-making during active trades.
🧠 How to Use
Works best on crypto (1H, 4H) and high-volume instruments
Use dashboard stats to monitor position status, PnL, and TP1/TP2 progression
Alerts are pre-labeled and compatible with bots like 3Commas, Wunderbit, etc.
Can be adapted for both scalping and swing trading
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Always test strategies thoroughly using demo or backtesting environments before applying to live markets. Past performance is not indicative of future results.
Trend MatrixFinal TradingView-Compliant Description for Trend Matrix
Trend Matrix is a precision-engineered trend-following strategy built for high-confidence entries and tactical trade management.
This strategy combines multiple non-repainting filters, each with a distinct role, to form a unified "trend matrix" that confirms directional bias, volume commitment, and momentum strength — all before entry is considered.
🔍 Core Components & Why They’re Used
🧠 Gaussian Filter (Custom)
A smoothed Gaussian-weighted moving average is used to detect trend direction changes. Unlike standard EMAs, this filter minimizes lag while retaining smooth transitions — ideal for confirming trend shifts without false reversals.
📈 RMI Trend Memory
A Relative Momentum Index is used to validate trend direction persistence. RMI's ability to filter out short-term oscillations makes it ideal for confirming whether a trend is still active.
📊 Gradient Filter (ZLEMA-based)
Measures the slope of a ZLEMA-smoothed close. If slope flips, it signals a potential trend weakness. This provides real-time confirmation for entry or exit bias.
📉 Volume Spike Detection
Confirms that breakouts or trend continuations are supported by volume commitment. Uses a dynamic SMA-based volume filter with a user-defined multiplier.
🟦 White Line (Bias Midpoint)
This structural component calculates the midpoint of the highest high and lowest low over a range — providing directional context and helping eliminate trades in consolidation zones.
🎯 Entry Conditions
Long entries require:
Gaussian trend flip to the upside
RMI > 50 (bullish memory)
Volume spike confirmation
Positive gradient (ZLEMA slope)
Price above White Line (bias filter)
Short entries use the inverse logic.
All entries enforce a cooldown bar to prevent same-bar reversals or whipsaw trades.
🎯 Exit Conditions
Take Profit 1: 50% of position at +2%
Take Profit 2: Remaining 50% at +4%
Early Exit on Trend Weakness:
Position closes fully if the trend weakens (RMI flip or gradient reversal)
📊 Dashboard + Performance Tracking
The built-in dashboard shows:
Current Position
Entry Price
TP1/TP2 Hit Status
Bars Since Entry
Win Rate (%)
Profit Factor
Useful for manual tracking or live trading review.
🌐 Multi-Exchange Bot Compatibility
Trend Matrix is built with universal trade alerts using customizable comment= fields. This makes it compatible with any exchange-connected bot platform such as:
WunderTrading
3Commas
Alertatron
Cornix
Or any webhook-based trading system
Alerts are sent using the {{strategy.order.comment}} placeholder, allowing you to route entries and exits through your preferred exchange account on Binance, Bybit, OKX, Kraken, and others.
🛠️ Customization
All components are modular:
TP1/TP2 levels
Gaussian length & sigma
Volume spike filter sensitivity
Gradient & White Line length
RMI settings
You can tailor the strategy for different assets or timeframes — optimized for crypto 1H, but works with stocks, FX, or lower timeframes with adjusted parameters.
✅ Final Notes
Trend Matrix is not just a mashup — it's a synchronized system of filters with clear roles, designed to maximize trade confidence and minimize noise. Every layer of confirmation serves a purpose, making this a highly adaptive trend-following tool for any market environment.
⚠️ Disclaimer (as required by TradingView)
This script is for educational purposes only and does not constitute financial advice. Use at your own risk. Always test strategies thoroughly before applying them in live trading environments. Past performance is not indicative of future results.
Enhanced Range Filter Strategy with ATR TP/SLBuilt by Omotola
## **Enhanced Range Filter Strategy: A Comprehensive Overview**
### **1. Introduction**
The **Enhanced Range Filter Strategy** is a powerful technical trading system designed to identify high-probability trading opportunities while filtering out market noise. It utilizes **range-based trend filtering**, **momentum confirmation**, and **volatility-based risk management** to generate precise entry and exit signals. This strategy is particularly useful for traders who aim to capitalize on trend-following setups while avoiding choppy, ranging market conditions.
---
### **2. Key Components of the Strategy**
#### **A. Range Filter (Trend Determination)**
- The **Range Filter** smooths price fluctuations and helps identify clear trends.
- It calculates an **adjusted price range** based on a **sampling period** and a **multiplier**, ensuring a dynamic trend-following approach.
- **Uptrends:** When the current price is above the range filter and the trend is strengthening.
- **Downtrends:** When the price falls below the range filter and momentum confirms the move.
#### **B. RSI (Relative Strength Index) as Momentum Confirmation**
- RSI is used to **filter out weak trades** and prevent entries during overbought/oversold conditions.
- **Buy Signals:** RSI is above a certain threshold (e.g., 50) in an uptrend.
- **Sell Signals:** RSI is below a certain threshold (e.g., 50) in a downtrend.
#### **C. ADX (Average Directional Index) for Trend Strength Confirmation**
- ADX ensures that trades are only taken when the trend has **sufficient strength**.
- Avoids trading in low-volatility, ranging markets.
- **Threshold (e.g., 25):** Only trade when ADX is above this value, indicating a strong trend.
#### **D. ATR (Average True Range) for Risk Management**
- **Stop Loss (SL):** Placed **one ATR below** (for long trades) or **one ATR above** (for short trades).
- **Take Profit (TP):** Set at a **3:1 reward-to-risk ratio**, using ATR to determine realistic price targets.
- Ensures volatility-adjusted risk management.
---
### **3. Entry and Exit Conditions**
#### **📈 Buy (Long) Entry Conditions:**
1. **Price is above the Range Filter** → Indicates an uptrend.
2. **Upward trend strength is positive** (confirmed via trend counter).
3. **RSI is above the buy threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **📉 Sell (Short) Entry Conditions:**
1. **Price is below the Range Filter** → Indicates a downtrend.
2. **Downward trend strength is positive** (confirmed via trend counter).
3. **RSI is below the sell threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **🚪 Exit Conditions:**
- **Stop Loss (SL):**
- **Long Trades:** 1 ATR below entry price.
- **Short Trades:** 1 ATR above entry price.
- **Take Profit (TP):**
- Set at **3x the risk distance** to achieve a favorable risk-reward ratio.
- **Ranging Market Exit:**
- If ADX falls below the threshold, indicating a weakening trend.
---
### **4. Visualization & Alerts**
- **Colored range filter line** changes based on trend direction.
- **Buy and Sell signals** appear as labels on the chart.
- **Stop Loss and Take Profit levels** are plotted as dashed lines.
- **Gray background highlights ranging markets** where trading is avoided.
- **Alerts trigger on Buy, Sell, and Ranging Market conditions** for automation.
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### **5. Advantages of the Enhanced Range Filter Strategy**
✅ **Trend-Following with Noise Reduction** → Helps avoid false signals by filtering out weak trends.
✅ **Momentum Confirmation with RSI & ADX** → Ensures that only strong, valid trades are executed.
✅ **Volatility-Based Risk Management** → ATR ensures adaptive stop loss and take profit placements.
✅ **Works on Multiple Timeframes** → Effective for day trading, swing trading, and scalping.
✅ **Visually Intuitive** → Clearly displays trade signals, SL/TP levels, and trend conditions.
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### **6. Who Should Use This Strategy?**
✔ **Trend Traders** who want to enter trades with momentum confirmation.
✔ **Swing Traders** looking for medium-term opportunities with a solid risk-reward ratio.
✔ **Scalpers** who need precise entries and exits to minimize false signals.
✔ **Algorithmic Traders** using alerts for automated execution.
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### **7. Conclusion**
The **Enhanced Range Filter Strategy** is a powerful trading tool that combines **trend-following techniques, momentum indicators, and risk management** into a structured, rule-based system. By leveraging **Range Filters, RSI, ADX, and ATR**, traders can improve trade accuracy, manage risk effectively, and filter out unfavorable market conditions.
This strategy is **ideal for traders looking for a systematic, disciplined approach** to capturing trends while **avoiding market noise and false breakouts**. 🚀
PowerZone Trading StrategyExplanation of the PowerZone Trading Strategy for Your Users
The PowerZone Trading Strategy is an automated trading strategy that detects strong price movements (called "PowerZones") and generates signals to enter a long (buy) or short (sell) position, complete with predefined take profit and stop loss levels. Here’s how it works, step by step:
1. What is a PowerZone?
A "PowerZone" (PZ) is a zone on the chart where the price has shown a significant and consistent movement over a specific number of candles (bars). There are two types:
Bullish PowerZone (Bullish PZ): Occurs when the price rises consistently over several candles after an initial bearish candle.
Bearish PowerZone (Bearish PZ): Occurs when the price falls consistently over several candles after an initial bullish candle.
The code analyzes:
A set number of candles (e.g., 5, adjustable via "Periods").
A minimum percentage move (adjustable via "Min % Move for PowerZone") to qualify as a strong zone.
Whether to use the full candle range (highs and lows) or just open/close prices (toggle with "Use Full Range ").
2. How Does It Detect PowerZones?
Bullish PowerZone:
Looks for an initial bearish candle (close below open).
Checks that the next candles (e.g., 5) are all bullish (close above open).
Ensures the total price movement exceeds the minimum percentage set.
Defines a range: from the high (or open) to the low of the initial candle.
Bearish PowerZone:
Looks for an initial bullish candle (close above open).
Checks that the next candles are all bearish (close below open).
Ensures the total price movement exceeds the minimum percentage.
Defines a range: from the high to the low (or close) of the initial candle.
These zones are drawn on the chart with lines: green or white for bullish, red or blue for bearish, depending on the color scheme ("DARK" or "BRIGHT").
3. When Does It Enter a Trade?
The strategy waits for a breakout from the PowerZone range to enter a trade:
Buy (Long): When the price breaks above the high of a Bullish PowerZone.
Sell (Short): When the price breaks below the low of a Bearish PowerZone.
The position size is set to 100% of available equity (adjustable in the code).
4. Take Profit and Stop Loss
Take Profit (TP): Calculated as a multiple (adjustable via "Take Profit Factor," default 1.5) of the PowerZone height. For example:
For a buy, TP = Entry price + (PZ height × 1.5).
For a sell, TP = Entry price - (PZ height × 1.5).
Stop Loss (SL): Calculated as a multiple (adjustable via "Stop Loss Factor," default 1.0) of the PZ height, placed below the range for buys or above for sells.
5. Visualization on the Chart
PowerZones are displayed with lines on the chart (you can hide them with "Show Bullish Channel" or "Show Bearish Channel").
An optional info panel ("Show Info Panel") displays key levels: PZ high and low, TP, and SL.
You can also enable brief documentation on the chart ("Show Documentation") explaining the basic rules.
6. Alerts
The code generates automatic alerts in TradingView:
For a bullish breakout: "Bullish PowerZone Breakout - LONG!"
For a bearish breakdown: "Bearish PowerZone Breakdown - SHORT!"
7. Customization
You can tweak:
The number of candles to detect a PZ ("Periods").
The minimum percentage move ("Min % Move").
Whether to use highs/lows or just open/close ("Use Full Range").
The TP and SL factors.
The color scheme and what elements to display on the chart.
Practical Example
Imagine you set "Periods = 5" and "Min % Move = 2%":
An initial bearish candle appears, followed by 5 consecutive bullish candles.
The total move exceeds 2%.
A Bullish PowerZone is drawn with a high and low.
If the price breaks above the high, you enter a long position with a TP 1.5 times the PZ height and an SL equal to the height below.
The system executes the trade and exits automatically at TP or SL.
Conclusion
This strategy is great for capturing strong price movements after consolidation or momentum zones. It’s automated, visual, and customizable, making it useful for both beginner and advanced traders. Try it out and adjust it to fit your trading style!
Supply & Demand Zones + Order Block (Pro Fusion) - Auto Order Strategy Title:
Smart Supply & Demand Zones + Order Block Auto Strategy with ScalpPro (Buy-Focused)
📄 Strategy Description:
This strategy combines the power of Supply & Demand Zone analysis, Order Block detection, and an enhanced Scalp Pro momentum filter, specifically designed for automated decision-making based on high-volume breakouts.
✅ Key Features:
Auto Entry (Buy Only) Based on Breakouts
Automatically enters a Buy position when the price breaks out of a valid demand zone, confirmed by EMA 50 trend and volume spike.
Order Block Logic
Identifies bullish and bearish order blocks using consecutive candle structures and significant price movement.
Dynamic Stop Loss & Trailing Stop
Implements a trailing stop once price moves in profit, along with static initial stop loss for risk management.
Clear Visual Labels & Alerts
Displays BUY/SELL, Demand/Supply, and Order Block labels directly on the chart. Alerts trigger on valid breakout signals.
Scalp Pro Momentum Filter (Optimized)
Uses a modified MACD-style momentum indicator to confirm trend strength and filter out weak signals.
Arbitrage Spot-Futures Don++Strategy: Spot-Futures Arbitrage Don++
This strategy has been designed to detect and exploit arbitrage opportunities between the Spot and Futures markets of the same trading pair (e.g. BTC/USDT). The aim is to take advantage of price differences (spreads) between the two markets, while minimizing risk through dynamic position management.
[Operating principle
The strategy is based on calculating the spread between Spot and Futures prices. When this spread exceeds a certain threshold (positive or negative), reverse positions are opened simultaneously on both markets:
- i] Long Spot + Short Futures when the spread is positive.
- i] Short Spot + Long Futures when the spread is negative.
Positions are closed when the spread returns to a value close to zero or after a user-defined maximum duration.
[Strategy strengths
1. Adaptive thresholds :
- Entry/exit thresholds can be dynamic (based on moving averages and standard deviations) or fixed, offering greater flexibility to adapt to market conditions.
2. Robust data management :
- The script checks the validity of data before executing calculations, thus avoiding errors linked to missing or invalid data.
3. Risk limitation :
- A position size based on a percentage of available capital (default 10%) limits exposure.
- A time filter limits the maximum duration of positions to avoid losses due to persistent spreads.
4. Clear visualization :
- Charts include horizontal lines for entry/exit thresholds, as well as visual indicators for spread and Spot/Futures prices.
5. Alerts and logs :
- Alerts are triggered on entries and exits to inform the user in real time.
[Points for improvement or completion
Although this strategy is functional and robust, it still has a few limitations that could be addressed in future versions:
1. [Limited historical data :
- TradingView does not retrieve real-time data for multiple symbols simultaneously. This can limit the accuracy of calculations, especially under conditions of high volatility.
2. [Lack of liquidity management :
- The script does not take into account the volumes available on the order books. In conditions of low liquidity, it may be difficult to execute orders at the desired prices.
3. [Non-dynamic transaction costs :
- Transaction costs (exchange fees, slippage) are set manually. A dynamic integration of these costs via an external API would be more realistic.
4. User-dependency for symbols :
- Users must manually specify Spot and Futures symbols. Automatic symbol validation would be useful to avoid configuration errors.
5. Lack of advanced backtesting :
- Backtesting is based solely on historical data available on TradingView. An implementation with third-party data (via an API) would enable the strategy to be tested under more realistic conditions.
6. [Parameter optimization :
- Certain parameters (such as analysis period or spread thresholds) could be optimized for each specific trading pair.
[How can I contribute?
If you'd like to help improve this strategy, here are a few ideas:
1. Add additional filters:
- For example, a filter based on volume or volatility to avoid false signals.
2. Integrate dynamic costs:
- Use an external API to retrieve actual costs and adjust thresholds accordingly.
3. Improve position management:
- Implement hedging or scalping mechanisms to maximize profits.
4. Test on other pairs:
- Evaluate the strategy's performance on other assets (ETH, SOL, etc.) and adjust parameters accordingly.
5. Publish backtesting results :
- Share detailed analyses of the strategy's performance under different market conditions.
[Conclusion
This Spot-Futures arbitrage strategy is a powerful tool for exploiting price differentials between markets. Although it is already functional, it can still be improved to meet more complex trading scenarios. Feel free to test, modify and share your ideas to make this strategy even more effective!
[Thank you for contributing to this open-source community!
If you have any questions or suggestions, please feel free to comment or contact me directly.
Custom Dual EMA Crossover Strategy with Configurable LogicThis strategy is designed to assist traders in identifying and capitalizing on bullish market trends through a systematic and data-driven approach. It incorporates detailed trend analysis, volatility filtering, and percentage-based thresholds to provide actionable insights and high-confidence trade setups. It leverages the Exponential Moving Average and combines it with custom logic to detect volatility, maximum allowed price movements over last bars and trend confirmation.
Key Features:
- Buy orders follow several conditions, including but not limited to:
a. EMA Crossover: specifically designed to capture immediate market shifts rather than medium- or long-term trends, ensuring responsiveness to rapidly changing conditions but requiring additional confirmations to avoid false signals (see below).
b. Thresholds in Price Changes: Ensures recent price fluctuations remain within specific thresholds, allowing trades to be entered at optimal times and avoiding delayed or unsustainable short-term bullish trends.
c. Adequate Market Volatility: Requires sufficient market activity to avoid false signals stemming from low volatility conditions.
d. Bullish Medium-Term Trend: Validates a bullish medium-term trend using an EMA crossover to avoid trading during bearish market conditions and minimize risk.
- Leverages Take profit and Stop loss levels
- Implements an optional mechanism to automatically close trades after a predefined number of bars, supporting disciplined trade management.
The script does not rely on any public scripts or indicators. Apart the EMA, all the underlying logic, including the volatility thresholds and filtering mechanisms, has been custom developed to ensure originality and precision. The strategy's conditions are all configurable by the user in the TradingView pop-up, allowing it to adapt to different assets and timeframes. For example, users can set the EMA lengths to align with long-term trends for cryptocurrencies or adjust volatility thresholds to account for the specific price movement behavior of stocks or forex pairs.
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Recommendations:
- Identify a crypto asset with potential
- Before live trading, rigorously backtest your strategy on the chosen asset and interval over a period of at least one year*, analyzing results, refining parameters' value and eventually changing timeframe and / or asset.
- Refine your approach until you achieve consistent profitability with a high win rate. Balance the two — a high win rate is great, but only if your profits outweigh your losses in the long term.
- Once successful, remain disciplined and adhere to the parameters that yield the best results. Set up TradingView alerts to trigger real-time actions via your preferred trading bot. Alerts can be set up on the Indicator, which mirrors the strategy's logic and enables users to execute real-time actions effectively. I will provide you access to the Indicator, as well as the Strategy.
* Alternatively, you can apply the strategy to a shorter period for tactical use. While this approach may increase short-term opportunities (e.g. strong bullish short term movements), it also comes with heightened risks.
Use Cases:
- Suitable for traders focusing on bullish or range-bound markets.
- Ideal for short to medium-term trading horizons.
Access and Configuration Support:
This is an invite-only script. For access, please reach out directly for subscription details. I also provide guidance on configuring the strategy with real-world examples to optimize its use for various assets, intervals and timeframes.
---
Disclaimer:
This script is a tool to support trading decisions and does not guarantee profitability. Past performance does not indicate future results. Trading carries inherent risks; always trade responsibly and manage risk accordingly.
Bullish B's - RSI Divergence StrategyThis indicator strategy is an RSI (Relative Strength Index) divergence trading tool designed to identify high-probability entry and exit points based on trend shifts. It utilizes both regular and hidden RSI divergence patterns to spot potential reversals, with signals for both bullish and bearish conditions.
Key Features
Divergence Detection:
Bullish Divergence: Signals when RSI indicates momentum strengthening at a lower price level, suggesting a reversal to the upside.
Bearish Divergence: Signals when RSI shows weakening momentum at a higher price level, indicating a potential downside reversal.
Hidden Divergences: Looks for hidden bullish and bearish divergences, which signal trend continuation points where price action aligns with the prevailing trend.
Volume-Adjusted Entry Signals:
The strategy enters long trades when RSI shows bullish or hidden bullish divergence, indicating an upward momentum shift.
An optional volume filter ensures that only high-volume, high-conviction trades trigger a signal.
Exit Signals:
Exits long positions when RSI reaches a customizable overbought level, typically indicating a potential reversal or profit-taking opportunity.
Also closes positions if bearish divergence signals appear after a bullish setup, providing protection against trend reversals.
Trailing Stop-Loss:
Uses a trailing stop mechanism based on ATR (Average True Range) or a percentage threshold to lock in profits as the price moves in favor of the trade.
Alerts and Custom Notifications:
Integrated with TradingView alerts to notify the user when entry and exit conditions are met, supporting timely decision-making without constant monitoring.
Customizable Parameters:
Users can adjust the RSI period, pivot lookback range, overbought level, trailing stop type (ATR or percentage), and divergence range to fit their trading style.
Ideal Usage
This strategy is well-suited for trend traders and swing traders looking to capture reversals and trend continuations on medium to long timeframes. The divergence signals, paired with trailing stops and volume validation, make it adaptable for multiple asset classes, including stocks, forex, and crypto.
Summary
With its focus on RSI divergence, trailing stop-loss management, and volume filtering, this strategy aims to identify and capture trend changes with minimized risk. This allows traders to efficiently capture profitable moves and manage open positions with precision.
This Strategy BEST works with GLD!
NNFX RSI EMA FVMA MACD ALGOThis Pine Script introduces a cutting-edge trading strategy that seamlessly integrates multiple technical indicators—namely, the Flexible Variable Moving Average ( FVMA ), Relative Strength Index ( RSI ), Moving Average Convergence Divergence ( MACD ), and Exponential Moving Average ( EMA )—to deliver a sophisticated trading experience. This script stands out due to its comprehensive approach, robust risk management, and the inclusion of crucial data tables for various timeframes, making it an invaluable tool for traders seeking to enhance their market performance.
Originality of the Strategy:
The originality of this script lies in its unique combination of multiple powerful indicators, enabling traders to benefit from diverse perspectives on market dynamics. This mashup enhances decision-making processes, providing multiple layers of confirmation for trade entries and exits. The strategy is designed to offer an innovative solution for traders looking to improve their performance through well-defined rules and a solid framework.
Flexible Variable Moving Average (FVMA):
The FVMA adapts dynamically to market conditions, offering a more responsive trend line than traditional moving averages. This flexibility allows for quick identification of trends and reversals, crucial for fast-paced trading environments.
Exponential Moving Average (EMA):
By giving greater weight to recent price data, the EMA enhances sensitivity to price changes, allowing for more accurate entries and exits when used alongside the FVMA. This combination maximizes the effectiveness of the strategy in identifying optimal trading opportunities.
Relative Strength Index (RSI):
The RSI helps identify overbought or oversold conditions, integrating seamlessly with other indicators to enhance the strategy's ability to pinpoint potential reversal points. This aspect of the strategy ensures that traders can make informed decisions based on market momentum.
Moving Average Convergence Divergence (MACD):
The MACD serves as an essential confirmation tool, providing insights into trend strength and momentum. This enhances the accuracy of entry and exit signals, allowing traders to make more informed decisions based on robust technical analysis.
Multi-Take Profit (TP) and Stop Loss (SL) Levels:
The strategy supports multiple TPs, allowing traders to lock in profits at various levels while effectively managing risk through a robust SL system. This flexibility caters to diverse trading styles and risk profiles, ensuring that the strategy can adapt to individual trader needs.
Default Properties:
Take Profit Levels: TP1 is set to 2.0, and TP2 is set to 2.9, which is designed to enhance profit potential while maintaining a solid risk-reward ratio.
Stop Loss: A SL is set at 2% of the 5% account balance, which helps to preserve capital and manage risk effectively, adhering to the guideline of not risking more than 5-10% of the account balance per trade.
Labeling System for Exits: Automatic labeling of TP and SL exits on the chart provides clear visualization of trading outcomes. This feature supports informed decision-making and performance tracking, aligning with the guideline of providing transparent results.
Custom Alerts System:
The inclusion of customizable alerts for trade entries, exits, and SL/TP hits keeps traders informed in real-time, enabling prompt actions without constant market monitoring. This is crucial for effective trade management and helps traders respond quickly to market changes.
API Boxes for Automated Trading:
The strategy features API boxes, allowing traders to set up automated trading based on indicator signals. This functionality enables seamless integration with trading platforms, enhancing efficiency and streamlining the trading process, which is particularly valuable for traders looking to optimize their execution.
Data Tables for Enhanced Analysis:
The script includes data tables displaying critical insights across various timeframes: 2-hour, daily, weekly, and monthly. These tables provide a comprehensive overview of market conditions, allowing traders to analyze trends and make informed decisions based on a broad spectrum of data. By leveraging this information, traders can identify high-probability setups and align their strategies with prevailing market trends, significantly increasing their chances of success.
Default Properties:
Initial Capital: £1,000, ensuring a realistic starting point for traders.
Risk per Trade: 5% of the account balance, promoting sustainable trading practices.
Commission: 0.1%, reflecting realistic transaction costs that traders may encounter.
Slippage: 1%, accounting for potential market volatility during trade execution.
Take Profit Levels:
TP1: 2.0
TP2: 2.9
Stop Loss (SL): 2% of the 5% account balance, which is well within acceptable risk parameters.
Compliance with TradingView Guidelines:
This script fully complies with TradingView's guidelines, specifically:
Strategy Results:
The strategy is designed to publish backtesting results that do not mislead traders. The realistic parameters outlined in the default properties ensure that traders have a clear understanding of potential outcomes.
The dataset used for backtesting has sufficient trades to produce a reliable sample size, aligning with the guideline of ideally having more than 100 trades.
Any deviations from recommended practices are justified in the script description, ensuring transparency and adherence to best practices.
The script explains the default properties in detail, providing a thorough understanding of how these settings influence performance.
Why This Script is Worth Paying For:
This Pine Script offers an unparalleled trading experience through its unique combination of technical indicators, comprehensive trade management features, and detailed data tables for multiple timeframes. Here are compelling reasons to invest in this strategy:
Holistic Approach: The integration of multiple indicators ensures a well-rounded perspective on market conditions, increasing the likelihood of successful trades.
Advanced Risk Management: The flexibility of multiple TPs and SLs empowers traders to tailor their risk profiles according to individual strategies, enhancing overall profitability.
Automated Trading Capability: The inclusion of API boxes for automated trading streamlines execution, allowing traders to capitalize on opportunities without the need for manual intervention.
Comprehensive Data Analysis: The detailed data tables provide invaluable insights across different timeframes, enabling traders to make informed decisions based on robust market analysis.
In summary, this innovative Pine Script represents a powerful tool designed to empower traders at all levels. Its originality, synergistic functionality, and comprehensive features create a dynamic and effective trading environment, justifying its value and positioning it as a must-have for anyone serious about achieving consistent trading success.
Simple Fibonacci Retracement Strategy This strategy uses Fibonacci retracement to identify key levels in the market and helps traders find good entry and exit points. By understanding and using this strategy, traders can improve their trading decisions and increase their chances of success in the market.
This strategy, called the "Simple Fibonacci Retracement Strategy," is designed to help traders identify potential entry and exit points in the market based on Fibonacci retracement levels. The code is written in Pine Script and runs on the TradingView platform.
Overall Function
The strategy uses Fibonacci retracement levels to identify potential support and resistance levels in the market. This helps traders find good entry and exit points for trades, as well as set stop-loss and take-profit levels to minimize risk and maximize gains.
Main Components of the Code
1. Input Parameters
Lookback Period: The number of bars used to identify the highest high and lowest low.
Fibonacci Direction: The choice of whether Fibonacci levels are calculated from top to bottom or bottom to top.
Fibonacci Levels: Specific Fibonacci levels (23.6%, 38.2%, 50%, 61.8%) used to identify important price levels.
Take Profit and Stop Loss: The number of pips used to set take profit and stop loss levels.
2. Identification of Highest and Lowest Points
The code uses the lookback period to find the highest high (highestHigh) and the lowest low (lowestLow). These levels form the basis for calculating the Fibonacci levels.
3. Calculation of Fibonacci Levels
Based on the direction chosen by the user, the code calculates the various Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 100%).
4. Trading Logic
Long Signal: Generated when the price crosses above the 61.8% Fibonacci level from bottom to top.
Short Signal: Generated when the price crosses below the 38.2% Fibonacci level from top to bottom.
When a long or short signal is generated, the strategy opens a position and sets take profit and stop loss levels based on the input parameters.
5. Visualization
The strategy plots the Fibonacci levels on the chart to provide a visual representation of the calculated levels. This helps traders see where the levels are in relation to the current price.
6. Alerts
The code also has functionality to create alerts (commented out), which can notify traders of buy or sell signals.
How to Use the Strategy
Configure Parameters: Adjust the lookback period, Fibonacci direction, and levels for take profit and stop loss to your preferences.
View the Chart: The Fibonacci levels will be plotted on the chart, providing a visual overview of potential support and resistance levels.
Trade Signals: Follow the generated buy and sell signals. Set your parameters in settings and adjust according to the generated buy and sell signals in the strategy tester. The strategy will automatically set your take profit and stop loss levels.
Evaluation and Adjustment: Monitor the performance of the strategy and make adjustments as needed to optimize the results.
Norwegian
Denne strategien, kalt "Simple Fibonacci Retracement Strategy", er designet for å hjelpe tradere med å identifisere mulige inngangs- og utgangspunkter i markedet basert på Fibonacci-retracementnivåer. Koden er skrevet i Pine Script og kjøres på TradingView-plattformen.
Overordnet Funksjon
Strategien bruker Fibonacci-retracementnivåer for å identifisere potensielle støtte- og motstandsnivåer i markedet. Dette hjelper tradere med å finne gode inngangs- og utgangspunkter for handler, samt å sette stop-loss og take-profit nivåer for å minimere risiko og maksimere gevinster.
Hovedkomponenter i Koden
1. Input Parametere
Lookback Period: Antall barer som brukes til å identifisere høyeste høydepunkt og laveste lavpunkt.
Fibonacci Direction: Valg om Fibonacci-nivåene skal beregnes fra topp til bunn eller bunn til topp.
Fibonacci Levels: Spesifikke Fibonacci-nivåer (23.6%, 38.2%, 50%, 61.8%) som brukes til å identifisere viktige prisnivåer.
Take Profit og Stop Loss: Antall pips som brukes til å sette take profit og stop loss nivåer.
2. Identifikasjon av Høyeste og Laveste Punkt
Koden bruker lookback perioden for å finne det høyeste høydepunktet (highestHigh) og det laveste lavpunktet (lowestLow). Disse nivåene er grunnlaget for å beregne Fibonacci-nivåene.
3. Beregning av Fibonacci-nivåer
Basert på retningen valgt av brukeren, beregner koden de forskjellige Fibonacci-nivåene (0%, 23.6%, 38.2%, 50%, 61.8%, 100%).
4. Handelslogikk
Long Signal: Genereres når prisen krysser over 61.8% Fibonacci-nivået fra bunn til topp.
Short Signal: Genereres når prisen krysser under 38.2% Fibonacci-nivået fra topp til bunn.
Når et long eller short signal genereres, åpner strategien en posisjon og setter take profit og stop loss nivåer basert på inputparametrene.
5. Visualisering
Strategien plottet Fibonacci-nivåene på chartet for å gi en visuell representasjon av de beregnede nivåene. Dette hjelper tradere med å se hvor nivåene er i forhold til den nåværende prisen.
6. Varsler
Koden har også funksjonalitet for å lage varsler (kommentert ut), som kan varsle tradere om kjøps- eller salgssignaler.
Slik Bruker Du Strategien
Konfigurer Parametere: Juster lookback perioden, Fibonacci-retningen, og nivåene for take profit og stop loss til dine preferanser.
Se på Chartet: Fibonacci-nivåene vil bli plottet på chartet, noe som gir deg en visuell oversikt over potensielle støtte- og motstandsnivåer.
Handle Signaler: Sett dine parametere i innstillinger og juster etter genererte kjøps- og salgssignalene i strategy testeren. Strategien vil automatisk sette dine take profit og stop loss nivåer.
Evaluering og Justering: Overvåk ytelsen til strategien og gjør justeringer etter behov for å optimalisere resultatene.
INFINITY ALGO🆕Meet the updated version of our flagship indicator, now it's INFINITY ALGO!
🏃🏻 QUICK START
In very simple terms, our indicator generates complex trading signals on your chart (buy/sell), including Entry Point, Take Profit levels, Stop Loss level
To start, you need to add our indicator to your chart , choose a timeframe (we recommend 13min,15min and 4h but you can try any, these only have the best results) and set up notifications (how to do it told below) and that's it, you can work with it even without changing the settings!
Of course, to improve the accuracy of signals you will have to choose the optimal settings of the script for each trading pair and timeframe (you can find a guide below)
📊 SIGNALS
This script will generate complex trading recommendations, both Long and Short (signals); signals include:
- Entry Point:
Calculated based on pivot levels with confirmation by EMA/SMA (you can select this in the settings); also bullish/bearish cup is checked to confirm the entry.
Additionally, in the settings you can enable Heiken Ashi calculation mode (it shows much better on some trading pairs).
Why do we mashup these components and how they work together?
- The main indicator in our script is pivot levels, it is enabled by default and cannot be disabled. Auxiliary indicators (which you can switch on and off in the script settings) are EMA/SMA and Heiken Ashi. We have used pivot levels, which mark potential support and resistance zones based on previous price action. We have also used EMA/SMA that smooth out price fluctuations and show the direction of the trend. We have added an option to use Heiken Ashi that filters out noise and highlights the trend. We have also checked for bullish/bearish cup patterns, which are reversal patterns that indicate a change in momentum. By combining these indicators, we have created a more robust entry point that considers multiple factors such as price levels, trend, noise, and momentum.
- 6 Take Profit levels:
It is also possible to change in the settings (It is also possible to change the values for Short or Long positions separately), it will be fixed values in % (The default Take Profits for Long&Short are as follows: TP1-0.3%; TP2-1%; TP3-2%; TP4-3%; TP5-7.5%; TP6-16.5%)
- Stop Loss Level:
As with Take Profits, this is a fixed % value that you can customise to suit your risk management needs (It is also possible to change the values for Short or Long positions separately, by default is 4.5% for Long&Short positions)
*When trading on these signals, we strongly recommend that you exit the position in parts at each take profit or close your entire position at one particular take profit. Our script was designed specifically for exiting a position on take profits
⚙️ SETTINGS
Now let's talk about the settings of this script, which allow you to customise the signals quite a lot. In general, we recommend selecting the settings for each trading pair and timeframe separately, this will allow you to achieve better targets accuracy (the default settings are universal, you can trade with them without changing them if you want)
-> IMAGE <-
1. Period - minimum value of 2. Increasing this parameter will increase the accuracy of signals, but will reduce their number (accordingly, lowering the parameter will do the opposite). For the majority of trading pairs and timeframes the optimal period will be between 5 and 10 (the default value is 5).
2. Maximum Breakout length (in bars) - for most trading pairs you can set the value from 200 to 300 and it will be optimal. Below 200 is not recommended
3. T hreshold Rate % - this value also affects the accuracy and the number of signals - the higher this value is, the more often signals will be generated, but it can negatively affect the accuracy. The minimum value is 3, and the maximum value is 10. We recommend to try values in the range from 4 to 7 for most tickers
4. Minimum Number of tests - the number of level checks is required, we recommend to try 2, and only for some timeframes increase to 3
5. MA type & MA filter - The shorter the length of moving averages, the faster they react to trend changes, and show more local trends than global ones. If the length of MAs is longer, more global trends are shown. By default, the most optimal values are set.
By the way, you can ask us for a ready-made preset for any pair and we will be happy to help you!
📄 BACKTESTING
Now let's talk about how to properly test the settings and evaluate their effectiveness. Our script has a c ustom built-in backtester that shows statistics on the current trading pair and allows you to calculate the accuracy of each take profit target, as well as calculate values such as Gross profit/loss, net profit, and the ratio of initial deposit to profit. (you can enable/disable backtester "statistics" label in main settings)
In the main settings you can change the values for: initial deposit (Deposit $), trade size $ and leverage (by the way, it also affects the display of the label "Peak profit", which is calculated with this leverage)
-> IMAGE <-
Now let's look at the backtester - it shows detailed statistics for each Take Profit level, including: accuracy in % and number of trades; gross profit & loss; net profit in % and $ (based on selected settings); deposit to profit ratio in % and $.
Why did we choose such properties in the backtest for publication?
- Well, as the initial capital we took 5000$ and deposit 3% (150$) of the initial capital in each trade. For the fee was taken the value from the exchange Binance, which is 0.06% per trade (Taker + Maker, for a user without VIP on Binance and without taking into account additional fees such as funding, leverage fees, etc).
- Please also take a look at our inbuilt backtester ( IMAGE ) which counts the accuracy to each Take Profit. Also note that our inbuilt backtester does not take any fees into account. Pay attention to the last field "Deposit with Profit" it shows the value if you would close all positions at a certain target. For example, we can see that the most optimal is TP3 at these settings for this trading pair and timeframe, as the deposit to profit ratio will be +61.2%
- Also the script is more designed for swing and long term trading, so on most trading pairs you will be able to see statistics for 60-90 trades dataset
*disclaimer: please note that past results does not guarantee future performance! The accuracy of take profit targets in our backtester is calculated on past results, keep this in mind please
📥 NOTIFICATIONS
We have provided notifications that will deliver the latest signals to you in a convenient format in TradingView. The notification looks like this: It contains the entry point, Take Profits, Stop Loss, and a bit of advice on risk management. -> IMAGE <-
To set up notifications:
1. Select the script settings, trading pair and timeframe
2. Click "add alert on InfinityAlgo", then select "alert () function calls only" in the settings
-> IMAGE <-
3. That's it, now all that's left is to wait for a fresh alert
🔑 HOW TO GET ACCESS
We hope you will like this script :) We are always ready to help you with customisation, just let us know! To learn more about our scripts & get access - check out the “Author’s instructions” below 👇🏼
Crypto Punk [Bot] (Zeiierman)█ Overview
The Crypto Punk (Zeiierman) is a trading strategy designed for the dynamic and volatile cryptocurrency market. It utilizes algorithms that incorporate price action analysis and principles inspired by Geometric Brownian Motion (GBM). The bot's core functionality revolves around analyzing differences in high and low prices over various timeframes, estimating drift (trend) and volatility, and applying this information to generate trading signals.
█ How to use the Crypto Punk Bot
Utilize the Crypto Punk Bot as a technical analysis tool to enhance your trading strategy. The signals generated by the bot can serve as a confirmation of your existing approach to entering and exiting the market. Additionally, the backtest report provided by the bot is a valuable resource for identifying the optimal settings for the specific market and timeframe you are trading in.
One method is to use the bot's signals to confirm entry points around key support and resistance levels.
█ Key Features
Let's explain how the core features work in the strategy.
⚪ Strategy Filter
The strategy filter plays a vital role in the entries and exits. By setting this filter, the bot can identify higher or lower price points at which to execute trades. Opting for higher values will make the bot target more long-term extreme points, resulting in fewer but potentially more significant signals. Conversely, lower values focus on short-term extreme points, offering more frequent signals focusing on immediate market movements.
How is it calculated?
This filter identifies significant price points within a specified dynamic range by applying linear regression to the absolute deviation of the range, smoothing out fluctuations, and determining the trend direction. The algorithm then normalizes the data and searches for extreme points.
⚪ External AI filter
The external AI filter allows traders to incorporate two external sources as signal filters. This feature is particularly useful for refining their signal accuracy with additional data inputs.
External sources can include any indicator applied to your TradingView chart that produces a plot as an output, such as a moving average, RSI, supertrend, MACD, etc. Traders can use these indicators of their choice to set filters for screening signals within the strategy.
This approach offers traders increased flexibility to select filters that align with their trading style. For instance, one trader might prefer to take trades when the price is above a moving average, while another might opt for trades when the MACD is below the MACD signal line. These external filters enable traders to choose options that best fit their trading strategies. See the example below. Note that the input sources for the External AI filter can be any indicator applied to the chart, and the input source per se does not make this strategy unique. The AI filter takes the selected input source and applies our function to it. So, if a trader selects RSI as an input filter, RSI is not unique, but how the source is computed within the AI functions is.
How is it calculated?
Once the external filters are selected and enabled within the settings panel, our AI function is applied to enhance the filter's ability to execute trades, even when the set conditions of the filter are not met. For instance, if a trader wants to take trades only when the price is above a moving average, the AI filter can actually execute trades even if the price is below the moving average.
The filter works by combining k-nearest Neighbors (KNN) with Geometric Brownian Motion (GBM) involves first using GBM to model the historical price trends of an asset, identifying patterns of drift and volatility. KNN is then applied to compare the current market conditions with historical instances, identifying the closest matches based on similar market behaviors. By examining the drift values of these nearest historical neighbors, KNN predicts the current trend's direction.
The AI adaptability value is a setting that determines how flexible the AI algorithm is when applying the external AI filter. Setting the adaptability to 10 indicates minimal adaptability, suggesting that the bot will strictly adhere to the set filter criteria. On the other hand, a higher adaptability value grants the algorithm more leeway to "think outside the box," allowing it to consider signals that may not strictly meet the filter criteria but are deemed viable trading opportunities by the AI.
█ Examples
In this example, the RSI is used to filter out signals when the RSI is below the smoothing line, indicating that prices are declining.
Note that the external filter is specifically designed to work with either 'LONG ONLY' or 'SHORT ONLY' modes; it does not apply when the bot is set to trade on 'BOTH' modes. For 'LONG ONLY' positions, the filter criteria are met when source 1 is greater than source 2 (source 1 >= source 2). Conversely, for 'SHORT ONLY' positions, the filter criteria require source 1 to be less than source 2 (source 1 <= source 2).
Examples of Filter Usage:
Long Signals: To receive long signals when the closing price is higher than a moving average, set Source 1 to the 'close' price and Source 2 to a moving average value. This setup ensures that signals are generated only when the closing price exceeds the moving average, indicating a potential upward trend.
█ Settings
⚪ Set Timeframe
Choosing the correct entry and exit timeframes is crucial for the bot's performance. The general guideline is to select a timeframe that is higher than the one currently displayed on the trading chart but still relatively close in duration. For instance, if trading on a 1-minute chart, setting the bot's Timeframe to 5 minutes is advisable.
⚪ Entry
Traders have the flexibility to configure the bot according to their trading strategy, allowing them to choose whether the bot should engage in long positions only, short positions only or both. This customization ensures that the bot aligns with the trader's market outlook and risk tolerance.
⚪ Pyramiding
Pyramiding functionality is available to enhance the bot's trading strategy. If the current position experiences a drawdown by a specified number of points, the bot is programmed to add new positions to the existing one, potentially capitalizing on lower prices to average down the entry cost. To utilize this feature, access the settings panel, navigate to 'Properties,' and look for 'Pyramiding' to specify the number of times the bot can re-enter the market (e.g., setting it to 2 allows for two additional entries).
⚪ Risk Management
The bot incorporates several risk management methods, including a regular stop loss, trailing stop, and risk-reward-based stop loss and exit strategies. These features assist traders in managing their risk.
Stop Loss
Trailing Stop
⚪ Trading on specific days
This feature allows trading on specific days by setting which days of the week the bot can execute trades on. It enables traders to tailor their strategies according to market behavior on particular days.
⚪ Alerts
Alerts can be set for entry, exit, and risk management. This feature allows traders to automate their trading strategy, ensuring timely actions are taken according to predefined criteria.
█ How is Crypto Punk calculated?
The Crypto Punk Bot is a trading bot that utilizes a combination of price action analysis and elements inspired by Geometric Brownian Motion (GBM) to generate buy and sell signals for cryptocurrencies. The bot focuses on analyzing the difference between high and low prices over various timeframes, alongside estimates of drift (trend) and volatility derived from GBM principles.
Timeframe Analysis for Price Action
The bot examines multiple timeframes (e.g., daily, weekly) to identify the range between the highest and lowest prices within each period. This range analysis helps in understanding market volatility and the potential for significant price movements. The algorithm calculates the trading range by applying maximum and minimum functions to the set of prices over your selected timeframe. It then subtracts these values to determine the range's width. This method offers a quantitative measure of the asset's price volatility for the specified period.
Estimating Drift (Trend)
The bot estimates the drift component, which reflects the underlying trend or expected return of the cryptocurrency. The algorithm does this by estimating the drift (trend) using Geometric Brownian Motion (GBM), which involves determining an asset's average rate of return over time, reflecting the asset's expected direction of movement.
Estimating Volatility
Volatility is estimated by calculating the standard deviation of the logarithmic returns of the cryptocurrency's price over the same timeframe used for the drift calculation. Geometric Brownian Motion (GBM) involves measuring the extent of variation or dispersion in the returns of an asset over time. In the context of GBM, volatility quantifies the degree to which the price of an asset is expected to fluctuate around its drift.
Combining Drift and Volatility for Signal Generation
The bot uses the calculated drift and volatility to understand the current market conditions. A higher drift coupled with manageable volatility may indicate a strong upward trend, suggesting a potential buy signal. Conversely, a low or negative drift with increasing volatility might suggest a weakening market, triggering a sell signal.
█ Strategy Properties
This script backtest is done on the 1 hour chart Bitcoin, using the following backtesting properties:
Balance (default): 10 000 (default base currency)
Order Size: 10% of the equity
Commission: 0.05 %
Slippage: 500 ticks
Stop Loss: Risk Reward set to 1
These parameters are set to provide an accurate representation of the backtesting environment. It's important to recognize that default settings may vary for several reasons outlined below:
Order Size: The standard is set at one contract to facilitate compatibility with a wide range of instruments, including futures.
Commission: This fee is subject to fluctuation based on the specific market and financial instrument, and as such, there isn't a standard rate that will consistently yield accurate outcomes.
We advise users to customize the Script Properties in the strategy settings to match their personal trading accounts and preferred platforms. This adjustment is crucial for obtaining practical insights from the deployed strategies.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Sniper [Decentrader]Bespoke Decentrader Mean Reversion / Colume based support/resistance Strategy builder.
Colour-coded mean line using price and volume
Volatility Bands (chose % or Std Dev)
Major support and resistance plotted lines
Suggested dynamic hard-stop placement
Built for all markets
A realistic strategy for multi-asset portfolio management
Complementary components to assist other indicators/strategies
Filtering for Long / Short only conditions is possible under settings.
Can be automated by including 3rd party code into the settings to be used as alerts.
Use the Mitigate lines to show previous areas of support or resistance, which have been broken.
4 main strategy options:
1. You can choose whether to enter based on the upper or lower Meanline. If the price is below the Meanline, the lower Meanline will be used for entry, while if the price is above the Meanline, the upper Meanline will be used. \n\nIf you want to use this condition to exit the position, you also need to select the "Exit at the Meanline" option as well.
2. If the selected strategy is "3. Buy/Sell Volatility Bands," you can specify which Band should trigger the position to open. The price must touch or cross the edge of the chosen Band. Additionally, if the "Exit at the Volatility Bands" option is selected, the same Band will be used for the exit criteria.
3. Buy/Sell Meanline retest": A position will be opened when the price retests the Meanline. The price must touch or wick through the Meanline without closing below/above it. (If this strategy is combined with "Exit at the Meanline" option, then in case price goes against our position, the strategy will exit if the price closes under/above the meanline
Buy/Sell Meanline breakout (UP/DOWN)": A long or short position will be opened when the price breaks above or below the Meanline
4. Buy/Sell Support/Resistance lines": A position will be opened when the price touches the support or resistance lines. This option can also be combined with the "Exit at the Meanline" option.
This tool can be used to help enter a trending asset or find entries for an asset retracing.
Please take care to test strategies before automation, which is also possible.
