Inizia

Multitimeframe

[TehThomas] - Fair Value GapsThis script is designed to automatically detect and visualize Fair Value Gaps (FVGs) on your chart in a clean, intuitive, and highly responsive way. It’s built with active traders in mind, offering both dynamic updates and customization options that help you stay focused on price action without being distracted by outdated or irrelevant information. What Are Fair Value Gaps? Fair Value Gaps are areas on a chart where there’s an inefficiency in price, typically formed when price moves aggressively in one direction, leaving a gap between the wicks of consecutive candles. These gaps represent imbalanced price action where not all buy or sell orders were efficiently matched. As a result, they often become magnet zones where price returns later to "fill" the imbalance before continuing in its intended direction. Many traders use them as points of interest for entries, re-entries, or anticipating reversals and consolidations. This concept is frequently used in Smart Money and ICT-based trading models, where understanding how price seeks efficiency is crucial to anticipating future moves. When combined with concepts like liquidity, displacement, and market structure, FVGs become powerful tools for technical decision-making. Script Features & Functionality 1. Live Updating Gaps (Dynamic Shrinking) One of the core features of this script is its ability to track and dynamically shrink Fair Value Gaps as price trades into them. Instead of leaving a static zone on your chart, the gap will adjust in real-time, reflecting the portion that has been filled. This gives you a much more accurate picture of remaining imbalance and avoids misleading zones. 2. Automatic Cleanup After Fill Once price fully fills an FVG, the script automatically removes it from the chart. This helps keep your workspace clean and focused only on relevant price zones. There’s no need to manually manage your gaps, everything is handled behind the scenes to reduce clutter and distraction. 3. Static Mode Option While dynamic updating is the default, some traders may prefer to keep the original size of the gap visible even after partial fills. For that reason, the script includes a toggle to switch from live-updating (shrinking) mode to static mode. In static mode, FVGs stay fixed from the moment they are drawn, giving you a more traditional visual reference point. 4. Multi-Timeframe Support (MTF) You can now view higher timeframe FVGs, such as those from the 1H or 4H chart, while analyzing lower timeframes like the 5-minute. This allows you to see key imbalances from broader market context without having to flip between charts. FVGs from higher timeframes will be drawn distinctly so you can differentiate them at a glance. 5. Cleaner Visualization The script is designed with clarity in mind. All drawings are streamlined, and filled gaps are removed to maintain a minimal, distraction-free chart. This makes it easier to combine this tool with other indicators or price-action-based strategies without overloading your workspace. 6. Suitable for All Market Types This script can be used on any asset that displays candlestick-based price action — including crypto, forex, indices, and stocks. Whether you're scalping low-timeframe setups or swing trading with a higher timeframe bias, FVGs remain a useful concept and this script adapts to your trading style. Use Case Examples On a 5-minute chart, display 1-hour FVGs to catch major imbalance zones during intraday trading. Combine the FVGs with liquidity levels and inducement patterns to build ICT-style trade setups. Use live-updating gaps to monitor in-progress fills and evaluate whether a zone still holds validity. Set the script to static mode to perform backtesting or visual replay with historical setups. Final Notes Fair Value Gaps are not a standalone trading signal, but when used with market structure, liquidity, displacement, and order flow concepts, they provide high-probability trade locations that align with institutional-style trading models. This script simplifies the visualization of those zones so you can react faster, stay focused on clean setups, and eliminate unnecessary distractions. Whether you’re trading high volatility breakouts or patiently waiting for retracements into unfilled imbalances, this tool is designed to support your edge with precision and flexibility. ___________________________________ Thanks for your support! If you found this indicator helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀 Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈
Indicatore Pine Script®
di TehThomas
9
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.
Strategia Pine Script®
di buble_lab
3
REVELATIONS (VoVix - PoC) REVELATIONS (VoVix - POC): True Regime Detection Before the Move Let’s not sugarcoat it: Most strategies on TradingView are recycled—RSI, MACD, OBV, CCI, Stochastics. They all lag. No matter how many overlays you stack, every one of these “standard” indicators fires after the move is underway. The retail crowd almost always gets in late. That’s never been enough for my team, for DAFE, or for anyone who’s traded enough to know the real edge vanishes by the time the masses react. How is this different? REVELATIONS (VoVix - POC) was engineered from raw principle, structured to detect pre-move regime change—before standard technicals even light up. We built, tested, and refined VoVix to answer one hard question: What if you could see the spike before the trend? Here’s what sets this system apart, line-by-line: o True volatility-of-volatility mathematics: It’s not just "ATR of ATR" or noise smoothing. VoVix uses normalized, multi-timeframe v-vol spikes, instantly detecting orderbook stress and "outlier" market events—before the chart shows them as trends. o Purist regime clustering: Every trade is enabled only during coordinated, multi-filter regime stress. No more signals in meaningless chop. o Nonlinear entry logic: No trade is ever sent just for a “good enough” condition. Every entry fires only if every requirement is aligned—local extremes, super-spike threshold, regime index, higher timeframe, all must trigger in sync. o Adaptive position size: Your contracts scale up with event strength. Tiny size during nominal moves, max leverage during true regime breaks—never guesswork, never static exposure. o All exits governed by regime decay logic: Trades are closed not just on price targets but at the precise moment the market regime exhausts—the hardest part of systemic trading, now solved. How this destroys the lag: Standard indicators (RSI, MACD, OBV, CCI, and even most “momentum” overlays) simply tell you what already happened. VoVix triggers as price structure transitions—anyone running these generic scripts will trade behind the move while VoVix gets in as stress emerges. Real alpha comes from anticipation, not confirmation. The visuals only show what matters: Top right, you get a live, live quant dashboard—regime index, current position size, real-time performance (Sharpe, Sortino, win rate, and wins). Bottom right: a VoVix "engine bar" that adapts live with regime stress. Everything you see is a direct function of logic driving this edge—no cosmetics, no fake momentum. Inputs/Signals—explained carefully for clarity: o ATR Fast Length & ATR Slow Length: These are the heart of VoVix’s regime sensing. Fast ATR reacts to sharp volatility; Slow ATR is stability baseline. Lower Fast = reacts to every twitch; higher Slow = requires more persistent, “real” regime shifts. Tip: If you want more signals or faster markets, lower ATR Fast. To eliminate noise, raise ATR Slow. o ATR StdDev Window: Smoothing for volatility-of-volatility normalization. Lower = more jumpy, higher = only the cleanest spikes trigger. Tip: Shorten for “jumpy” assets, raise for indices/futures. o Base Spike Threshold: Think of this as your “minimum event strength.” If the current move isn’t volatile enough (normalized), no signal. Tip: Higher = only biggest moves matter. Lower for more signals but more potential noise. o Super Spike Multiplier: The “are you sure?” test—entry only when the current spike is this multiple above local average. Tip: Raise for ultra-selective/swing-trading; lower for more active style. Regime & MultiTF: o Regime Window (Bars): How many bars to scan for regime cluster “events.” Short for turbo markets, long for big swings/trends only. o Regime Event Count: Only trade when this many spikes occur within the Regime Window—filters for real stress, not isolated ticks. Tip: Raise to only ever trade during true breakouts/crashes. o Local Window for Extremes: How many bars to check that a spike is a local max. Tip: Raise to demand only true, “clearest” local regime events; lower for early triggers. o HTF Confirm: Higher timeframe regime confirmation (like 45m on an intraday chart). Ensures any event you act on is visible in the broader context. Tip: Use higher timeframes for only major moves; lower for scalping or fast regimes. Adaptive Sizing: o Max Contracts (Adaptive): The largest size your system will ever scale to, even on extreme event. Tip: Lower for small accounts/conservative risk; raise on big accounts or when you're willing to go big only on outlier events. o Min Contracts (Adaptive): The “toe-in-the-water.” Smallest possible trade. Tip: Set as low as your broker/exchange allows for safety, or higher if you want to always have meaningful skin in the game. Trade Management: o Stop %: Tightness of your stop-loss relative to entry. Lower for tighter/safer, higher for more breathing room at cost of greater drawdown. o Take Profit %: How much you'll hold out for on a win. Lower = more scalps. Higher = only run with the best. o Decay Exit Sensitivity Buffer: Regime index must dip this far below the trading threshold before you exit for “regime decay.” Tip: 0 = exit as soon as stress fails, higher = exits only on stronger confirmation regime is over. o Bars Decay Must Persist to Exit: How long must decay be present before system closes—set higher to avoid quick fades and whipsaws. Backtest Settings Initial capital: $10,000 Commission: Conservative, realistic roundtrip cost: 15–20 per contract (including slippage per side) I set this to $25 Slippage: 3 ticks per trade Symbol: CME_MINI:NQ1! Timeframe: 1 min (but works on all timeframes) Order size: Adaptive, 1–3 contracts No pyramiding, no hidden DCA Why these settings? These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions. Tip: Set to 1 for instant regime exit; raise for extra confirmation (less whipsaw risk, exits held longer). ________________________________________ Bottom line: Tune the sensitivity, selectivity, and risk of REVELATIONS by these inputs. Raise thresholds and windows for only the best, most powerful signals (institutional style); lower for activity (scalpers, fast cryptos, signals in constant motion). Sizing is always adaptive—never static or martingale. Exits are always based on both price and regime health. Every input is there for your control, not to sell “complexity.” Use with discipline, and make it your own. This strategy is not just a technical achievement: It’s a statement about trading smarter, not just more. * I went back through the code to make sure no the strategy would not suffer from repainting, forward looking, or any frowned upon loopholes. Disclaimer: Trading is risky and carries the risk of substantial loss. Do not use funds you aren’t prepared to lose. This is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results. Expect more: We’ll keep pushing the standard, keep evolving the bar until “quant” actually means something in the public code space. Use with clarity, use with discipline, and always trade your edge. — Dskyz , for DAFE Trading Systems
Strategia Pine Script®
di DskyzInvestments
Deviation over Deviation (DoD) (DAFE) Deviation over Deviation (DoD) Let’s call it out: The vast majority of “volatility” tools on TradingView are just new wrappers on old math—ATR, bands, and basic deviation, all chasing the same tired after-the-fact moves. They’re built to describe the aftermath, not the ignition. If you’re still relying on these, you’re trading in the rearview mirror while the real edge is already gone. That’s not our game, and it shouldn’t be yours. Deviation over Deviation (DoD) is built for one purpose: To expose the hidden regime shifts—the moments when volatility itself becomes volatile, when the market’s “normal” deviation is no longer normal, and when the next move is about to erupt. This isn’t just another overlay. This is a quant-grade anomaly detector, engineered to show you the probability surface before the crowd even knows it’s changed. What sets this apart: Deviation over Deviation (DoD): Not just “how much did price move,” but “how unusual is the current volatility compared to its own history?” This is the Z-score of Z-scores—a true rarity detector for market stress, lull, or impending breakout. VoVix Integration: Select VoVix as your source and you’re not just tracking price, but the volatility of volatility—the same math that powers institutional regime models. This is the edge that front-runs the move, not follows it. Multi-Timeframe Comparative Engine: Instantly compare current and higher timeframe DoD Z-scores. See when the micro and macro regimes align—or when they’re about to collide. Professional, Adaptive Dashboard: No cosmetic fluff, always showing you the real quant state: current DoD Z, HTF DoD Z, and regime warnings. Every color, every plot, every signal is a direct function of the logic—no distractions, no lag. How this destroys the lag: Standard deviation, ATR, and “volatility bands” are always late. They tell you what just happened. DoD and VoVix show you when the nature of volatility itself is changing—when the market is about to leave the old regime behind. This is the difference between trading the past and trading the future. Inputs/Signals—explained for clarity: Deviation Lookback & DoD Lookback: Control the sensitivity and selectivity of the regime detector. Shorter = more signals, longer = only the rarest events. Source Selection: Choose from price, volume, volatility, or VoVix. Each source gives you a different lens on market stress. VoVix is for those who want to see the “regime quake” before the aftershocks. HTF (Comparative Timeframe): Set your higher timeframe for macro regime confirmation. When both DoD Z-scores align, you’re seeing a true market inflection. VoVix Parameters: Fine-tune the volatility-of-volatility engine for your market. Lower ATR Fast = more responsive; higher ATR Slow = more selective. Adjust for your asset, your timeframe, your edge. Bottom line: This isn’t just another “volatility” script. This is a regime anomaly detector, built for traders who want to anticipate, not react. Every input is there for a reason. Every plot is a direct readout of the quant logic. Use it to filter your entries, to time your exits, or to simply see the market’s hidden structure in real time. Disclaimer: Trading is risky. This script is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results. *Updated the Dashboard/Metrics Display for better visibility Use with discipline. Trade your edge. — Dskyz, for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
(DAFE) DEVMA - Crossover (Deviation Moving Average) (DAFE) DEVMA - Crossover (Deviation Moving Average) Let’s keep pushing the edge. After the breakthrough of Deviation over Deviation (DoD)—which gave traders a true lens into volatility’s hidden regime shifts—many asked: “What’s next?” The answer is DEVMA: a crossover engine built not on price, but on the heartbeat of the market itself. Why is this different? DEVMA isn’t just a moving average crossover. It’s a regime detector that tracks the expansion and contraction of deviation—giving you a real-time readout of when the market’s energy is about to shift. This is the next step for anyone who wants to anticipate volatility, not just react to it. What sets DEVMA apart: Volatility-First Logic:Both fast and slow lines are moving averages of deviation, not price. You’re tracking the market’s “energy,” not just its direction. This is the quant edge that most scripts miss. Regime-Colored Lines: The fast and slow DEVMA lines change color in real time—green/aqua for expansion, maroon/orange for contraction—so you can see regime shifts at a glance. Quant-Pro Visuals: Subtle glow, clean cross markers, and a minimalist dashboard keep your focus on what matters: the regime, not the noise. Static Regime Thresholds: Reference lines at 1.5 and 0.5 (custom colors) give you instant context for “normal” vs. “extreme” volatility states. No Price Chasing: This isn’t about following price. It’s about anticipating the next volatility regime—before the crowd even knows what’s coming. How this builds on DoD: DoD showed you when volatility itself was about to change. DEVMA takes that insight and turns it into a crossover engine—so you can see, filter, and act on regime shifts in real time. If DoD was the radar, DEVMA is the navigation system. Inputs/Signals—explained for clarity: Deviation Lookback: Controls the sensitivity of the regime detector. Shorter = more signals, longer = only the rarest events. Fast/Slow DEVMA Lengths: Fine-tune how quickly the regime lines react. Fast for scalping, slow for swing trading. Source Selection: Choose from price, volume, volatility, or VoVix. Each source gives you a different lens on market stress. VoVix is for those who want to see the “regime quake” before the aftershocks. VoVix Parameters: Fine-tune the volatility-of-volatility engine for your market. Lower ATR Fast = more responsive; higher ATR Slow = more selective. Bottom line: DEVMA is for those who want to see the market’s heartbeat, not just its shadow. Use it to filter your trades, time your entries, or simply understand the market’s true rhythm. Every input is there for a reason. Every plot is a direct readout of the quant logic. Use with discipline, and make it your own. Disclaimer: Trading is risky. This script is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results. *Updated the Dashboard/Metrics Display for better visibility Use with discipline. Trade your edge. — Dskyz, for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
ZMVZMV-STRATEGY Z – Zero-Based Thinking At the core of the ZMV-STRATEGY lies zero-based thinking: the practice of assessing actions, projects, or goals as if starting from scratch. This principle encourages: Eliminating outdated assumptions Prioritizing current relevance over historical momentum Making decisions based on present and future potential, not sunk costs M – Momentum Mapping Momentum is essential for sustained progress. The "M" emphasizes: Identifying key areas where traction exists Mapping energy flows within a team, project, or market Leveraging small wins to catalyze exponential growth V – Value Alignment Finally, the “V” represents value alignment, which ensures that: Every move aligns with core values and purpose Stakeholders are engaged through shared vision Ethical, meaningful impact is prioritized alongside metrics
Indicatore Pine Script®
di ATDEBARON
Alert TrendThis indicator is designed to function as a dynamic BIAS tool but can be adapted to various strategies depending on user needs. Key Features and Integration: Personally, I pair it with the "EMA Suite" indicator, as my strategy revolves around Fibonacci-based moving averages. The indicator uses EMA 55 and EMA 233 as trend references, triggering a trend shift when a candle closes fully above or below these levels. To maintain structural integrity, the EMA values are not user-configurable in the settings: adjustments require direct script modification (e.g., switching to EMA 50 and EMA 200, widely recognized reference levels), this ensures logical consistency for advanced users familiar with Pine Script. Output Signals and Interpretation: The indicator generates four distinct signals: 1. Uptrend: Candle closes above both EMA 55 and EMA 233. 2. Weak Uptrend: Candle closes above EMA 55 but below EMA 233. 3. Downtrend: Candle closes below both EMA 55 and EMA 233. 4. Weak Downtrend: Candle closes below EMA 55 but above EMA 233. The area between the two EMAs represents a "complex zone" where price action contradicts higher timeframe trends. To resolve ambiguity, combine this indicator with a primary timeframe (e.g., H4) and a confirmation timeframe (e.g., H1). In smaller timeframes may also serve as entry signals, a feature currently under exploration for automation. Alert System and Strategy Integration: The indicator includes customizable alerts for all four signals collectively or individually, streamlining integration into Strategy scripts. This flexibility enhances adaptability for backtesting or live trading. Critical Note: Configure the indicator to display exclusively on the selected timeframe. Higher intervals fail to render all signals due to overlapping visualizations, distorting analysis. To resolve this, set the visibility parameter to "Visibility on intervals/Current interval and below" in the chart settings. This ensures clarity and preserves signal accuracy. Development Status and Collaboration: As part of an ongoing project, this tool is already integrated into my personal strategy. While functional and publicly shareable, further refinements are planned. Though not a professional developer, I utilize Deepseek for coding assistance and possess sufficient Pine Script literacy to oversee the logic. Feedback, suggestions, and collaborations are welcome to optimize its utility. I hope this tool proves valuable to fellow traders navigating multi-timeframe analysis and trend confirmation.
Indicatore Pine Script®
di ZioMiguel
Trend Table ZeeZeeMonMulti-Timeframe Trend Indicator Overview This indicator identifies trends across multiple higher timeframes and displays them in a widget on the right side of the chart. It serves as an alternative trend-filtering tool, helping traders align with the dominant market direction. Unlike traditional moving average-based trend detection (e.g., price above/below a 200 MA), this indicator assesses whether higher timeframes are genuinely trending by analyzing swing highs and lows. Trend Definition Uptrend: Higher highs and higher lows. Downtrend: Lower highs and lower lows. A trend reversal occurs when a prior high/low is breached (e.g., in a downtrend, breaking the last high signals an uptrend). Customization Options Lookback Period: Adjusts the sensitivity for identifying swing highs/lows (pivot points). A shorter lookback detects more frequent pivots. Historical Pivot Visibility: Toggle to display past swing highs/lows for verification. Support/Resistance Lines: Show dynamic levels from recent pivots on higher timeframes. Breaching these lines indicates potential trend changes. Purpose Helps traders: Confirm higher timeframe trends before entering trades. Monitor proximity to trend reversals. Fine-tune pivot sensitivity for optimal trend detection. Note: Works best as a supplementary trend filter alongside other trading strategies.
Indicatore Pine Script®
di lazy-graded-reflex
EMA Break & Retest + Trend TableThis script is designed to identify potential buy and sell trading opportunities based on 21 EMA (Exponential Moving Average) break and retest patterns, with confirmation from multi-timeframe trend analysis. It combines actionable signal generation with a clean, real-time trend overview table. ✅ 1. EMA Break & Retest Logic Detects when the price crosses above or below the 21 EMA and then closes in the direction of the breakout. Generates buy signals on upward break/retest, and sell signals on downward break/retest. ✅ 2. Multi-Timeframe Confirmation Filters signals using higher timeframe trends to avoid false entries. Buy signals are shown only if the 1H or 4H trend is bullish. Sell signals are shown only if the 1H or 4H trend is bearish. ✅ 3. Visual Signal Plotting Displays green "BUY" labels below bars and red "SELL" labels above bars. Users can toggle buy/sell signals on or off with checkboxes. ✅ 4. Alerts Built-in alertcondition() functions allow traders to set real-time alerts when buy or sell signals are triggered. ✅ 5. Multi-Timeframe Trend Table A dynamic table appears in the top-right corner showing trend status across: Daily (D) 4 Hour (4H) 1 Hour (1H) 15 Minute (15M) 5 Minute (5M) Each timeframe is marked as Bullish (green) or Bearish (red) depending on the current price vs. 21 EMA. The latest signal (“BUY” / “SELL” / “—”) is displayed at the bottom of the table.
Indicatore Pine Script®
di Pravstha
Olas21 BUY SELL TREND 1. Use Only Strong Buy/Sell Signals The script already filters for "Strong BUY" (with Supertrend support). Use only: 🚀 Strong BUY when Supertrend is downtrend (direction < 0) ☄️ Strong SELL when Supertrend is uptrend (direction > 0) Why? These signals are filtered and more reliable. 2. Enable Trend Confirmation: EMA Filter Make sure you enable the EMA filter (already in the script): plaintext Copy Edit ✅ Use EMA Trend Filter = True 📈 Buy only if price is above EMA200 (bull trend) 📉 Sell only if price is below EMA200 (bear trend) This ensures you only trade with the trend. 3. Add Confirmation Indicators Here are the top options: Indicator Use It For Recommended Settings RSI Avoid overbought/oversold traps RSI(14) < 70 for buy, > 30 for sell ADX Confirm strong trend ADX > 20 or 25 MACD Confirm momentum direction MACD line > Signal line for buy Volume Spike Confirm market interest Volume > 20-period avg volume 4. Avoid Trading in Choppy Conditions Stay out if: Price is sideways near EMAs Low volume or no trend confirmation No clear higher high / lower low structure 5. Best Timeframes for High Win Rate Use higher timeframes for cleaner signals: 1H, 4H, 1D (especially for swing trading) 5M–15M only if scalping with strict rules and fast exits 6. Backtest and Tune Your SL/TP Use: SL = 0.5–1.5% TP = 1.5–2.5% Tight stops + quick profits = higher win rate 👉 Use the strategy.tester in TradingView and adjust these values. 🔧 Sample Confirmation Logic (Optional Additions) You can edit the script to add confirmations like RSI or MACD: pinescript Copy Edit rsi = ta.rsi(close, 14) rsiBuyOk = rsi < 70 rsiSellOk = rsi > 30 adx = ta.adx(14) trendStrong = adx > 20 finalLong = longCondition and rsiBuyOk and trendStrong finalShort = shortCondition and rsiSellOk and trendStrong Then replace your strategy.entry conditions with: pinescript Copy Edit if finalLong strategy.entry("Long", strategy.long) if finalShort strategy.entry("Short", strategy.short) ✅ Summary: Your Confirmation Checklist Filter Confirmed? Supertrend alignment (Strong Buy/Sell) ✅ EMA trend filter (price above/below EMA200) ✅ RSI overbought/oversold ✅ ADX showing trend strength ✅ Volume above average ✅
Indicatore Pine Script®
di olast1211
ICT Midnight Open + PDH/PDL NY TimeICT NY midnight open +PDH / PDL According to ICT teachings, this indicator will help those who are not using the NY timeframe for their charts, where this indicator will show you previous day highs and lows which formed in NY time, which aligns with ICT models. Using PDHs and PDLs of your own timeframe (ex: Singapore time) will not lead to accurate PDHs or PDLs to be used as a confluence with ICT entry models which involves a PDH sweep, followed up by a reversal. Hope you guys enjoy. -Farr
Indicatore Pine Script®
di farr_88
Bollinger Bands x3 with Fill + HMA + Dynamic Width Colors📄 Description for TradingView Publication: This is an enhanced and flexible version of the classic Bollinger Bands indicator, designed for traders who want deeper insight into market volatility and price structure. 🔹 Key Features: ✅ Triple Bollinger Bands Displays 3 standard deviation bands: ±1σ, ±2σ, and ±3σ Customize each deviation level independently ✅ Dynamic Band Width Coloring Band lines change color when the distance between upper and lower bands narrows Helps identify volatility contractions and potential squeeze setups ✅ Dynamic Fill Coloring Fill between bands also changes color when the bands narrow Visually highlights transitions from high to low volatility conditions ✅ Multiple Moving Average Options Choose from: Simple Moving Average (SMA) Exponential Moving Average (EMA) Smoothed Moving Average (SMMA / RMA) Weighted Moving Average (WMA) Volume-Weighted Moving Average (VWMA) Hull Moving Average (HMA) for a smoother, more responsive central tendency ✅ Customization Options Show/hide each band individually Adjust standard deviation multipliers Toggle fills between bands Customize fill colors for normal and narrowing conditions Offset option to shift all plots forward or backward 💡 Use Case Tips: When all bands begin narrowing, it could signal an upcoming volatility expansion or breakout. Use the ±3σ bands to gauge extreme price behavior, and ±1σ for short-term mean reversion. Combine with price action, momentum, or volume for breakout confirmation. 🧰 Recommended For: Volatility traders Mean reversion strategies Breakout traders Trend confirmation and structure analysis
Indicatore Pine Script®
di aravindhravi
Q Squeeze TrendQ Squeeze Trend A sharp, signal-based trend tool that combines classic SuperTrend mechanics with configurable squeeze breakout logic and momentum confirmation. Built for clean entry points and minimalist charting — perfect for fast setups and real-time alerts. 🔧 Core Features Configurable Squeeze Breakout Logic • Detects low-volatility "squeeze" phases using customizable Bollinger Band vs. Keltner Channel logic • Confirms breakouts only when momentum aligns with directional bias SuperTrend Confirmation • Filters noise and validates signals based on ATR-based trend logic • Adds directional confidence before triggering signals Alternating Signal Logic • Ensures only one directional signal is active at a time • Avoids repetitive entries and improves clarity Clean Visual Feedback • Directional arrows on confirmed buy/sell signals • Optional colored fill between price and signal level • Lightweight, non-intrusive label system Real-Time Alerts • Alerts for confirmed buy and sell setups • Easy integration with webhooks, bots, or mobile notifications ⚙️ Configurable Inputs • ATR Period & Multiplier – adjust SuperTrend sensitivity • Squeeze Length, BB/KC Multipliers – fine-tune compression detection • Signal Colors – customize arrow and background styling ✨ Highlights • Designed for fast, visual trading with minimal clutter • Non-repainting logic, effective across all timeframes • Pairs well with structure, momentum, and volume strategies 📈 How to Use • Enter on breakout arrows when trend, momentum, and squeeze align • Use background fill to track current direction • Exit on opposite signal, or combine with your own trade management logic
Indicatore Pine Script®
di Quantora
OB Sweeps ReversalOB Sweeps Reversal is a high-precision market structure tool that identifies and dynamically tracks bullish and bearish order blocks — key zones where institutional participants are likely to be active. These zones act as support and resistance levels, adapting to market behavior in real time. The script monitors price interaction with each OB and classifies its status as: Unmitigated (price has not yet returned) Mitigating (price is testing the zone) Invalidated (zone has been broken) Traders can use these zones directly as actionable support/resistance — or wait for additional confirmation via the system’s liquidity sweep detection and optional filters. 🔍 Key Features: Automatically detects and plots bullish and bearish OBs Tracks mitigation status and updates visuals accordingly Detects liquidity sweeps of recent highs/lows Optional filters:    • 200 EMA trend direction    • Momentum of current or previous candle Plots stop-loss and take-profit lines using ATR-based logic Clean entry labels with full contextual data Built-in alert system with constant-string messages (automation ready) 📈 How to Use: Load the script on any timeframe (15m–4H recommended) Observe the live OB zones as they develop Trade based on price interaction:    • Bounce off a bullish OB = potential long setup    • Rejection from a bearish OB = potential short    • Sweep + snapback into an OB = optional trap reversal entry SL/TP levels are drawn automatically for reference Use alerts to automate or monitor high-conviction setups The order blocks themselves are valuable on their own — even without waiting for a signal. They can be used as dynamic support and resistance zones, offering excellent structure-based trading opportunities. 🧠 Ideal For: Traders who follow price action and market structure Those using support/resistance, OBs, or supply/demand Intraday and swing traders looking for cleaner structure alignment Users who prefer low-frequency, high-quality setups ⚠️ Note: This tool does not produce frequent signals. It is designed for precision and discipline, with a focus on clarity and confluence. It complements — not replaces — a trader’s decision-making process. This script is open-source and designed with integrity, precision, and trader usability in mind. No links, no upsells, no promotions — just a reliable system for structural market analysis.
Indicatore Pine Script®
di Finntech1
Opening Range 15 min (US Market Hours)📘 Opening Range 15 min This script plots the Opening Range (OR) High and Low based on the first 15 minutes of the US regular session (9:30–9:45 EST), and extends those levels through the remainder of the trading day. 🔑 Key Features: Displays OR lines on all timeframes using accurate 15-minute data Extends horizontal lines from 9:30 to 16:00 (U.S. market hours) Adds clear, auto-updating labels at the end of each line (ORH and ORL) Fully customizable colors for lines, fill, borders, and labels
Indicatore Pine Script®
di TVYW
AlgoRanger Supply & Demand Zones📘 AlgoRanger Supply & Demand Zones Multi-Timeframe Institutional Zone Mapping 🔍 Overview: The AlgoRanger Supply & Demand Zones indicator is a dynamic tool that automatically plots key institutional supply (resistance) and demand (support) zones across multiple timeframes. These zones are color-coded and labeled (e.g. 1h, 2h, 4h) to help traders identify powerful reversal or breakout areas with high precision. Perfect for price action traders, this tool allows you to align trades with institutional activity — all without manually marking levels. 📈 How to Use It: 1. Spot Strong Entry/Exit Zones Red Zones = Supply: Potential resistance where price previously dropped after aggressive selling. Green Zones = Demand: Potential support where price previously rallied after strong buying. 2. Timeframe Confluence Multiple zone labels (e.g. “1h”, “2h”, “4h”) on a single area indicate stronger institutional interest. Zones from higher timeframes are generally stronger and more respected. 3. Trade Setups Reversal Strategy: Wait for price to enter a fresh zone and show signs of rejection (e.g. wicks, volume spikes). Breakout Strategy: A clean break above a supply zone or below a demand zone may signal continuation. 4. Trend Context Use with trend tools (e.g. AlgoRanger Trend Matrix) to avoid trading against momentum. Use lower timeframe zones for entry within higher timeframe trends. 5. Risk Management Place stop-loss outside the zone (beyond the wick or structure). Set targets at the next opposing zone or swing high/low. 🛠️ Features: ✅ Automatic plotting of untested supply and demand zones ✅ Labels with timeframe visibility (1h, 2h, 4h, etc.) ✅ Color-coded zones for easy visual analysis ✅ Multi-timeframe scanning and zone overlay ✅ Extends zones until broken for dynamic S/R tracking 🧠 Tips for Effective Use: Use 1h/4h zones for swing trading, and 15m/1h zones for intraday setups. Look for overlap zones between multiple timeframes for stronger signals. Pair with Fibonacci, volume, and momentum indicators for extra confirmation. 🔧 Customization Options (if available): Enable/disable zones by timeframe Adjust zone thickness and color Configure how long zones remain visible Zone stacking and merge options 💡 Best For: Price Action Traders Supply/Demand & S/R Strategy Users Breakout and Reversal Traders Day Traders and Swing Traders
Indicatore Pine Script®
di AlgoRanger_
Market Structure (Compact Dashboard) with Trade PlansScript to identify multi timeframe market structure and Position, Short Term and Scalp Startegy based on ICT Swing Process. Logic based on proces decsribed by ICT in his swing trading concepts in the 2016 series. Position trading based on M-W-D, Short Term based on W-D-4H and scalp based on D-4H-1H Bullish and bearish based on the break of a swing high or low with a close. The script prodices the table on the top right and botom centre and NOT other levels on this chart
Indicatore Pine Script®
di mearsy
Money Flow Index + VWAP Trend FilterThis indicator combines the volume-weighted momentum analysis of the Money Flow Index (MFI) with the trend-filtering capabilities of the Volume Weighted Average Price (VWAP) to generate reliable buy and sell signals. By requiring MFI overbought/oversold conditions to align with the trend direction relative to VWAP, this indicator reduces false signals, making it ideal for trading on timeframes like 5-minute to 4-hour charts. How It Works The indicator uses two technical components to produce signals: Money Flow Index (MFI) for Momentum Extremes: The MFI, calculated over a default 14-period length, measures buying and selling pressure using price and volume data. A buy signal is triggered when MFI crosses above the oversold level (default: 20), indicating potential buying pressure, while a sell signal occurs when MFI crosses below the overbought level (default: 80), suggesting selling pressure. Volume Weighted Average Price (VWAP) for Trend Direction: The VWAP calculates the average price of an asset, weighted by volume, resetting at the start of each trading session (e.g., daily for stocks). It acts as a dynamic support/resistance level. A bullish trend is confirmed when the price is above the VWAP, and a bearish trend when the price is below the VWAP. This ensures MFI signals are filtered to align with the broader trend direction, plotted as a purple line on the chart. Signal Generation Signals are generated using the previous bar’s values to prevent repainting: Buy Signal: The MFI crosses above the oversold level, and the price is above the VWAP (bullish trend). Displayed as a green upward triangle below the bar. Sell Signal: The MFI crosses below the overbought level, and the price is below the VWAP (bearish trend). Displayed as a red downward triangle above the bar.
Indicatore Pine Script®
di Raisontgh
Heikin Ashi + MACD Momentum FilterThe Heikin Ashi + MACD Momentum Filter is designed for short-term and swing traders, combining the trend-smoothing capabilities of manually calculated Heikin Ashi candles with the momentum confirmation of the MACD histogram to generate reliable buy and sell signals. This indicator aligns trend direction with momentum shifts to minimize false signals, making it ideal for trading trending markets on timeframes like 5-minute to 1-hour charts. How It Works The indicator uses two technical components to produce signals: Heikin Ashi for Trend Detection: Heikin Ashi candles are manually calculated to smooth price action, with the close as the average of OHLC values and the open as the average of the previous Heikin Ashi open and close. These values are further smoothed over a default 5-period moving average. A bullish trend is confirmed when the smoothed Heikin Ashi close is above its open (plotted in green), and a bearish trend when the close is below the open (plotted in red). This smoothing reduces noise, helping traders stay in the direction of the prevailing trend. MACD Histogram for Momentum Confirmation: The MACD, calculated with standard settings (fast=12, slow=26, signal=9), produces a histogram. A buy signal requires the histogram to cross above a threshold (default: 0.0), indicating bullish momentum, while a sell signal requires a cross below, indicating bearish momentum. This ensures trades are taken when momentum supports the trend. Signal Generation Signals are generated using the previous bar’s values to prevent repainting: Buy Signal: The MACD histogram crosses above the threshold, and the Heikin Ashi confirms a bullish trend. Displayed as a green upward triangle below the bar. Sell Signal: The MACD histogram crosses below the threshold, and the Heikin Ashi confirms a bearish trend. Displayed as a red downward triangle above the bar.
Indicatore Pine Script®
di Raisontgh