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CandelaCharts - Buyside & Sellside 📝 Overview The Buyside & Sellside Liquidity Indicator is designed to identify and emphasize one of the foundational concepts within the ICT (Inner Circle Trader) trading methodology: liquidity levels. This tool focuses on pinpointing key areas in the market where buy-side and sell-side liquidity is concentrated, providing traders with insights into potential price targets, reversal zones, and institutional order flow behavior. By highlighting these liquidity zones, the indicator serves as a strategic aid in understanding market dynamics and enhancing decision-making in alignment with ICT principles. 📦 Features Buyside & Sellside Liquidity Invalidated Liquidity Threshold Styling ⚙️ Settings Liquidity: Controls visibility of Bullish/Bearish Liquidity levels. Invalidated: Displays the invalidated liquidity levels. Levels: Controls the number of Liquidity levels that will be displayed. Line Style: Customize the line style and width. Threshold: Filter by swing points the Liquidity levels. Labels: Control the Labels visibility. ⚡️ Showcase Buyside & Sellside Invalidated 🚨 Alerts This script offers alert options for all signal types. Bearish Signal A bearish signal is generated when the price reaches a Buyside Liquidity level. Bullish Signal A bullish signal is generated when the price reaches a Sellside Liquidity level. ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Indicador Pine Script®
por CandelaCharts
1
Interests Zones | @CRYPTOKAZANCEVInterests Zones (POI) The indicator highlights key Interests Zones on the chart (i.e. support and resistance levels) Developed based on the trading strategy of Pavel Kazantsev @cryptokazancev Developer - @ZeeZeeMon Зоны интереса (POI) Индикатор выделяет на графике ключевые зоны интереса (то есть уровни поддержки и сопротивления) Разработаны на основе торговой стратегии Павла Казанцева @cryptokazancev Разработчик - @ZeeZeeMon
Indicador Pine Script®
por cryptokazancev
Wick SweepThe Wick Sweep indicator identifies potential trend reversal zones based on price action patterns and swing points. Specifically, it looks for "Wick Sweeps," a concept where the market temporarily breaks a swing low or high (creating a "wick"), only to reverse in the opposite direction. This pattern is often indicative of a market attempting to trap traders before making a larger move. The indicator marks these zones using dashed lines, helping traders spot key areas of potential price action. Key Features: * Swing Low and High Detection: The indicator identifies significant swing lows and highs within a user-defined period by employing Williams fractals. * Wick Sweep Detection: Once a swing low or high is identified, the indicator looks for price movements that break through the low or high (creating a wick) and then reverses direction. * Fractal Plotting: Optionally, the indicator plots fractal points (triangle shapes) on the chart when a swing low or high is detected. This can assist in visually identifying the potential wick sweep areas. * Line Plotting: When a wick sweep is detected, a dashed line is drawn at the price level of the failed low or high, visually marking the potential reversal zone. Inputs: * Periods: The number of bars used to identify swing highs and lows. A higher value results in fewer, more significant swing points. * Line Color: The color of the dashed lines drawn when a wick sweep is detected. Customize this to match your chart's theme or preferences. * Show Fractals: A toggle that, when enabled, plots triangle shapes above and below bars indicating swing highs (up triangles) and swing lows (down triangles). Functionality: * Swing High and Low Calculation: - The indicator calculates the swing low and swing high based on the periods input. A swing low is identified when the current low is the lowest within a range of (2 * periods + 1), with the lowest point being at the center of the period. - Similarly, a swing high is identified when the current high is the highest within the same range. * Wick Sweep Detection: - Once a swing low or high is detected, the script looks for a potential wick. This happens when the price breaks the swing low or high and then reverses in the opposite direction. - For a valid wick sweep, the price should briefly move beyond the identified swing point but then close in the opposite direction (i.e., a bullish reversal for a swing low and a bearish reversal for a swing high). - A line is drawn at the price level of the failed low or high when a wick sweep is confirmed. Confirmations for Reversal: * The confirmation for a wick sweep requires that the price not only break the swing low/high but also close in the opposite direction (i.e., close above the low for a bullish reversal or close below the high for a bearish reversal). * The confirmation is further refined by checking that the price movement is within a reasonable distance from the original swing point, which prevents the indicator from marking distant, unimportant price levels. Additional Notes: * The Wick Sweep indicator does not provide standalone trading signals; it is best used in conjunction with other technical analysis tools, such as trend analysis, oscillators, or volume indicators. * The periods input can be adjusted based on the trader’s preferred level of sensitivity. A lower period value will result in more frequent swing points and potentially more signals, while a higher value will focus on more significant market swings. * The indicator may work well in ranging markets where price tends to oscillate between key support and resistance levels.
Indicador Pine Script®
por abuzka
Fibonacci Pivot PointsMultiple Fibonacci calculation methods: including Classic, Camarilla and Woodie different Fibonacci pivot point calculation methods Period customization: H1 (60 minutes) period is used by default, but it can be changed through settings City customization: line color, width and label can be shaped Price table: Displays the price values ​​of all support and resistance levels in the upper right corner of the chart Automatic update: Whenever a new time period starts, the indicator automatically updates all Fibonacci lines You can adjust the parameters as needed, such as changing the color, line width or choosing a different Fibonacci calculation method.
Indicador Pine Script®
por atjoxmi5kz474xpw
Elliott Wave Noise FilterElliott Wave Noise Filter Overview The Elliott Wave Noise Filter is a specialized indicator for TradingView, designed to solve one of the biggest challenges in Elliott Wave analysis on lower timeframes: the identification of market noise. By combining multiple advanced filtering techniques, this indicator helps distinguish meaningful price action from random fluctuations. The Problem On lower timeframes—especially below 15 minutes—Elliott Wave analysis is significantly impacted by excessive market noise. This noise can lead to misinterpretation of wave structures, making it difficult to execute reliable trading decisions. The Solution The Elliott Wave Noise Filter utilizes four powerful methods to detect and filter noise: ATR-Based Volatility Analysis: Identifies price movements too small to be structurally meaningful Volume Confirmation: Filters out price moves that occur with insufficient volume Trend Strength Measurement (ADX): Detects periods of weak trend activity, where noise tends to dominate Fractal Pattern Recognition: Marks significant turning points that could be relevant for Elliott Wave analysis Features Visual Indicators Background Coloring: Red indicates noise; green signifies a clear signal Hull Moving Average: Smooths price action and highlights the prevailing trend Fractal Markers: Triangles mark significant highs and lows Status Panel: Displays current noise status and ADX value Customization Options ATR Period: Adjust the lookback period for ATR calculations Noise Threshold: Defines the percentage of ATR below which a movement is considered noise Volume Filter: Can be enabled or disabled Volume Threshold: Sets the ratio to average volume for a move to be deemed significant Hull MA Display and Length: Configure the moving average settings ADX Parameters: Adjust trend strength sensitivity Use Cases For Elliott Wave Analysis Eliminate noise to identify cleaner wave structures Use fractal markers as potential wave endpoints Reference the Hull MA for determining the broader trend For General Trading Identify high-noise periods to avoid low-quality setups Spot clearer market phases for better entries Assess price action quality through visual cues Multi-Timeframe Approach Apply the indicator across different timeframes for a comprehensive view Prefer trading when both higher and lower timeframes align with consistent signals Optimal Settings For Very Short Timeframes (1–5 minutes) Higher Noise Threshold (0.4–0.5) Longer ATR Period (20–30) Higher Volume Threshold (1.0–1.2) For Medium Timeframes (15–60 minutes) Medium Noise Threshold (0.2–0.3) Standard ATR Period (14) Standard Volume Threshold (0.8) For Higher Timeframes (4h and above) Lower Noise Threshold (0.1–0.2) Shorter ATR Period (10) Lower Volume Threshold (0.6–0.7) Conclusion The Elliott Wave Noise Filter is an essential tool for any Elliott Wave analyst or trader working on lower timeframes. By reducing noise and emphasizing significant market movements, it enables more precise analysis and potentially more profitable trading decisions. Note: As with any technical indicator, the Elliott Wave Noise Filter should be used as part of a broader trading strategy and not as a standalone signal for trade execution.
Indicador Pine Script®
por Phillipklh
ATGRIDBOT OPTIMIZER Hello Trader.. There are some option in the script, let see one by one: Market Direction: To specify the direction of the position: Long only, Short only, and Neutral Contrat (Lot) Number: It specifies the size of the position to be opened when the trend reverses (position changes). Test by backward bar count: If selected, it indicates how many backward bars will be taken into account in the back test process. If not selected, Start Date is taken into account. Show Table: shows the results on the screen. In this way, you will find the best parameter values ​​​​according to the number of bars or date you entered. Here the top 5 parameters are show along with total profit, profitable position, loss position and parameter values. Remember that as the number of bars and dates in backtests increases, the calculation time will increase. DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur. Please invest wisely.
Indicador Pine Script®
por celalkaracur52
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.
Estratégia Pine Script®
por buble_lab
4
LULD Bands & Trading Halt Detector [Volume Vigilante]📖 LULD Bands & Trading Halt Detector This advanced tool visualizes official Limit Up / Limit Down (LULD) price bands and detects regulatory trading halts and resumptions based on SEC and NASDAQ rules. It is engineered for high accuracy by anchoring all calculations to the 1-minute timeframe, ensuring reliable signals across any chart resolution. 📌 What Does This Script Do? - Draws real-time LULD price band estimations and optional buffer (caution) zones directly on the chart. - Detects trading halt resumptions by monitoring time gaps between candles and other regulatory criteria. (Note: Due to Pine Script limitations, halts cannot be detected in real-time, only resumptions after they occur.) - Triggers real-time alerts for: - Trading Resumptions (Limit Up & Limit Down) - LULD Zone Entries (Caution Zone) - Band Breaches (Limit Up and Limit Down) - Plots historical halt resumption markers to analyse past events. 📐 How It Works: - Implements official SEC/NASDAQ LULD rules for Tier 1 and Tier 2 securities. - Applies special band adjustments for the final 25 minutes of trading (after 3:35 PM ET). - Anchors all logic to the 1-minute timeframe for precise calculations, even on higher timeframe charts. - Includes adjustable volume and volatility filters to eliminate false signals (ghost halts) on low-- liquidity assets, especially Tier 2 securities when TradingView fails to print candles. ⚙️ How to Use It: 1.) Apply the script to any asset or timeframe. 2.) Adjust Volume and Volatility Filters to reduce noise. (Recommended: 500,000+ volume, 10%+ volatility.) 3.) Enable or disable visual components like bands, buffer zones, and halt resumption labels. 4.) Configure alerts directly from the script settings panel. 5.) Apply alerts to individual assets via "Add Alert On..." or to entire watchlists using "Add Alert on the List." 🧩 What Makes This Script Unique? - True 1-Minute Anchored Calculations: Ensures alerts and visuals match official trading halt criteria regardless of chart timeframe. - Customisable Buffered Zones: Visualise proximity to regulatory price limits and avoid volatility traps. - Combines halt resumption detection, limit up/down band visualisation, and real-time alerts into one clean, modular tool. 📚 Disclaimer: This script is for educational purposes only and does not constitute financial advice. Use at your own discretion and consult a licensed financial advisor before making trading decisions based on it. Official Resources: - NASDAQ LULD Regulations (FAQ): www.nasdaqtrader.com Current Nasdaq Trading Halts: www.nasdaqtrader.com
Indicador Pine Script®
por VolumeVigilante
2
StonkGame AutoLevels+Hey gang — made a new levels script to automatically plot the ones I use the most. StonkGame AutoLevels+ automatically plots structural price levels from major timeframes — including Yesterday, Last Week, Last Month, Last Quarter, and Last Year — with the option to include up to 6 months of historical monthly open, high, low, and close levels. Everything’s fully customizable. You pick which timeframes to show, which price types (O/H/L/C) matter, and where the labels appear. Highs are red, lows are lime. Monthly opens are fuchsia, closes are purple — easy to separate at a glance. Labels auto-stagger to reduce clutter and can be positioned left, right, or center — or turned off completely. You also control how far they sit from price. The screenshot shows everything turned on just to demo the range — but in practice, I usually stick with the standard levels like Last Week or Last Month, and only show highs and lows (they define structure best IMO). Clean, contextual, and built for traders who want clarity without noise.
Indicador Pine Script®
por stonkgame
AlphaLiquidity Divergence PRO1️⃣ Most traders struggle to identify true market pivots - the real tops and bottoms where reversals begin. ❌ They often enter too late or too early. ❌ They follow price alone, unaware of what’s happening beneath the surface. ❌ Sideways markets mislead them, hiding accumulation or distribution by larger players. ❌ They don’t know if momentum is building or fading, so confidence is low — and consistency suffers. 2️⃣ AlphaLiquidity Divergence PRO was built to solve this. ✅ It combines price action with volume-based liquidity behavior to help traders detect: ✅ Hidden accumulation or distribution ✅ High-probability bullish or bearish divergences ✅ True pivot zones where smart money may be entering or exiting positions It provides visual confirmations — helping You (traders) build clarity, timing, and conviction in their decisions. 3️⃣ What the Indicator Does & How It Works? Directional Momentum (Slope of AlphaLiquidity) The slope of AlphaLiquidity reveals whether institutional liquidity is building or draining. When AlphaLiquidity is rising, it often reflects inflow suggesting bullish intent or growing strength behind price. When AlphaLiquidity is falling, it indicates outflow. Signaling weakening interest or pressure behind a move. This directional shift provides an early look into whether a trend is likely to continue or stall. 4️⃣ Divergences Between Price and AlphaLiquidity At the core of the system is a divergence detection engine. The indicator compares price highs/lows with AlphaLiquidity highs/lows using a pivot-based method. When price moves in one direction but AlphaLiquidity does not confirm . That's a divergence. These mismatches are powerful because they often appear just before market reversals, especially when they occur within extreme AlphaLiquidity zones (overbought or oversold conditions). Potential Confidence Scoring with labeling of Potential BEAR and Potential BULL. Each Confidence Scoring is here to help the trader quickly evaluate its quality. This score is based on three main factors: ➡️ Is a divergence present? ➡️ Is the current AlphaLiquidity in an extreme zone (above 80 or below 20)? ➡️ Does the broader trend (e.g., via EMA) align with the direction of the signal? The score provides a quick, visual assessment that helps prioritize higher-probability setups and reduce overtrading. Understanding AlphaLiquidity Zones AlphaLiquidity values range between 0 and 100, and the indicator highlights zones which is trying to simulate the potential behaviour of smart money: ➡️ Above 80: Says that there is a potential exhaustion from heavy buying - often a sell zone or start of distribution. ➡️ Below 20: Indicates potential accumulation or oversold exhaustion - often a buy zone. These zones are visually shaded, making it easier to spot where institutional participants may be active. Typically buying when prices are low and selling into strength. Volume-Weighted Price Flow Unlike price-only indicators, AlphaLiquidity blends both price action and volume, offering insight into how committed the market is behind a move — not just where price is going, but how convincingly it’s getting there. 🟢🔴 Visual Feedback Green slope = inflow / building pressure Red slope = outflow / weakening conviction This color-coded logic allows traders to visually track momentum without extra noise. 5️⃣ How to Read AlphaLiquidity in Sideways Markets In the green highlighted zones, we can see the market moving sideways - seemingly flat on the surface. But beneath that, AlphaLiquidity is rising, which indicates that accumulation is taking place. This means smart money is quietly building positions while retail may be unaware. In contrast, the red highlighted zones also show sideways movement, but AlphaLiquidity is decreasing over time. This signals distribution, smart money is offloading positions while price action remains stable. You can clearly see this behavior in Bitcoin during key market tops and bottoms — areas where accumulation or distribution occurred before major price moves. 6️⃣ Which Timeframes Work Best? AlphaLiquidity Divergence PRO is compatible with any asset that has volume — including crypto, futures, and stocks. It works well on all major timeframes, from investor-level weekly charts down to swing trading ranges like 4H or daily. The indicator also performs accurately on intraday charts like 15m, 5m, or 1m. Below 1-minute (e.g. 30s, 5s, 1s), the accuracy begins to degrade due to market noise and thin volume. ✅ For best results, use it on charts 3 minute and higher for stable, reliable scores. Live examples: 1. Accumulation and Distribution zones 2. Overbought and Oversold 3. Confidence Score 7️⃣ Q&A Session ➡️ Can this actually help me avoid bad trades? Yes, to a certain degree. AlphaLiquidity helps you recognize key zones where market pivots are likely to form. This can improve your timing and decision-making, especially in sideways or unclear price action. However, its accuracy decreases on very low timeframes, such as under 1 minute. Like any tool, it should never be used in isolation. This is not a guaranteed signal system. It's a decision-support tool. For best results, it should be combined with other forms of confluence, such as market structure, support/resistance, or trend confirmation. It's not about being right 100% of the time. It's about seeing what others miss and using that insight wisely. ➡️ Is this just another flashy signal tool? This isn't a black-box signal generator. AlphaLiquidity shows you why the market might be turning, using volume-backed divergence and zone behavior. ➡️ How do I know I’m not just getting scammed again? AlphaLiquidity uses principles rooted in real market behavior such as volume, price, and institutional patterns. It's made for traders, by traders who've been there. ➡️ Will this work with how I trade? It works on any chart with volume - crypto, stocks, futures and supports timeframes from 1-minute to weekly. Whether you scalp, swing or Investing you’ll find value. ➡️ Can I trust the signals? It’s important to note that these are not traditional ‘buy/sell’ signals. They are confidence-based insights, scored using real, structured divergence logic - not randomness. Each setup is evaluated based on multiple conditions, like divergence presence, liquidity zone strength, and optional trend alignment. This gives you a measured confidence score, not just a binary yes/no signal. And you’re encouraged to add your own confluences - such as market structure, EMAs, or price action, to stack your edge and make more informed decisions. Think of it as a decision filter, not a signal trigger. 8️⃣ Final Thoughts AlphaLiquidity Divergence PRO isn’t a magic solution. It’s a clarity tool. It’s built to help you spot high-probability market pivots, understand when momentum is shifting, and make more confident decisions based on volume-backed structure, not noise. It’s most effective when used as part of a broader strategy, alongside your own analysis and confluences. If you’re looking for a smarter way to read the market and filter out low-quality setups, this tool can help. But if you’re already confident in your current approach and don’t see the value in adding liquidity and divergence insights that’s perfectly fine too. Stick to what works for you. ➡️ AlphaLiquidity is for those who want to add a volume-based divergence lens to their existing analysis process.
Indicador Pine Script®
por Risk_Adj_Return
K3 - Quarterly Theory 90 Minute SSMTThe K3 indicator was designed to clearly identify the primary price levels (“PPLs”) associated with the 90 minute cycle sequential smart money technique (“90SSMT) which is a core concept of Quarterly Theory (“QT”). K3 is meant to be used primarily with the 5 minute timeframe. QT was originally created by Traderdaye. Traderdaye was inspired by the Inner Circle Trader. The 90SSMT PPLs identified by the K3 indicator are as follows: Q1 low (grey line) Q1 high (grey line) Q1 equilibrium (dashed grey line) Q2 low (pink line) Q2 high (pink line) Q2 equilibrium (dashed pink line) Q3 low (light green line) Q3 high (light green line) Q3 equilibrium (dashed light green line) Q4 low (light blue line) Q4 high (light blue line) Q4 equilibrium (dashed light blue line) A 90SSMT is formed when the price of one asset takes a low or high while another asset that is normally correlated with the first asset fails to take the same low or high. 90SSMT is used with other QT core concepts such as precision swing point (“PSP”) and terminus price divergence (“TPD”) by QT traders to refine and execute trade setups. TPD is a concept originally created by Jacob Speculates. Equilibrium of a daily cycle may also be used to identify 90SSMT. However, the trader who developed this indicator is not sure that this concept has been publicly taught or endorsed in any way by Traderdaye or Jacob Speculates.
Indicador Pine Script®
por Kohtrade
K2 - Quarterly Theory Daily SSMTThe K2 indicator was designed to clearly identify the primary price levels (“PPLs”) associated with the daily cycle sequential smart money technique (“DSSMT) which is a core concept of Quarterly Theory (“QT”). K2 is meant to be used primarily with the 15 minute timeframe. QT was originally created by Traderdaye. Traderdaye was inspired by the Inner Circle Trader. The DSSMT PPLs identified by the K2 indicator are as follows: Q1 low (grey line) Q1 high (grey line) Q1 equilibrium (dashed grey line) Q2 low (pink line) Q2 high (pink line) Q2 equilibrium (dashed pink line) Q3 low (light green line) Q3 high (light green line) Q3 equilibrium (dashed light green line) Q4 low (light blue line) Q4 high (light blue line) Q4 equilibrium (dashed light blue line) A DSSMT is formed when the price of one asset takes a low or high while another asset that is normally correlated with the first asset fails to take the same low or high. DSSMT is used with other QT core concepts such as precision swing point (“PSP”) and terminus price divergence (“TPD”) by QT traders to refine and execute trade setups. TPD is a concept originally created by Jacob Speculates. Equilibrium of a daily cycle may also be used to identify DSSMT. However, the trader who developed this indicator is not sure that this concept has been publicly taught or endorsed in any way by Traderdaye or Jacob Speculates.
Indicador Pine Script®
por Kohtrade