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Major Trading Sessions IndicatorsThis indicator displays vertical lines on your chart to mark the opening times of the major global trading sessions (Tokyo, Shanghai/HK, London, and New York). As a crypto trader I want to find price action patterns after sessions open. It's fully customizable and extendable (you could add closing time for sessions as well) Works best on short timeframes. Features: 6 configurable vertical lines (4 preset for major sessions + 2 custom) Each line shows a customizable label (e.g., "Tokyo", "London") Individual time and color settings for each line UTC offset for each line to handle Daylight Saving Time Option to fix all labels at a specific price level for cleaner appearance (need to set and save it for each chart, it becomes a mess if you don't). Default behavior and limit of Pine Script is that it will be attached to the price wick. Default Sessions: Tokyo: 00:00 UTC (midnight) Shanghai/HK: 01:30 UTC London: 08:00 UTC (winter) - adjust offset to +1 for summer New York: 13:00 UTC (winter) - adjust offset to -4 for summer DST Adjustments: Simply change the UTC offset when daylight saving time begins/ends: London: 0 (winter) or +1 (summer) New York: -5 (winter) or -4 (summer) Lines extend from top to bottom of the chart and appear precisely when each session opens. My preferred configuration: shorten names and reduce opacity of colors to 20-30%.
אינדיקטור Pine Script®
מאת ‎BitsOfRick‎
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter. Scope and intent • Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto • Timeframes: 5 min to 1 day • Default demo: SPY on 60 min • Purpose: fade stretched moves only when multi-anchor context and breadth agree • Limits: strategy uses standard candles for signals and orders only Originality and usefulness • Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM • Failure mode addressed: chasing extended moves and fading during index-wide thrusts • Testability: each component is an input and visible in orders list via L and S tags • Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols • Open source: method and implementation are disclosed for community review Method overview in plain language Base measures • Range basis: ATR(length = atr_len) as the normalization unit • Return basis: not used directly; we use rank statistics for stability Components • Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len • Robust Z of Close: median and MAD based Z to avoid outliers • Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts • Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided • Gap Shock: skip signals after large session gaps Fusion rule • All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear Signal rule • Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok • Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok What you will see on the chart • Standard strategy arrows for entries and exits • Optional short-side brackets: ATR stop and ATR take profit if enabled Inputs with guidance Setup • Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts. • ATR length: normalization unit. Typical 10 to 20. Higher reduces noise. • VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0. • Robust Z window: 40 to 100. Larger for stability. • Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only. • Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches. • Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs. Regime and Breadth • Use breadth gate: on when trading indices or broad ETFs. • Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts. • Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade. Risk — Short only • Enable short SL TP: on to bracket shorts. • Short ATR stop mult: 1.0 to 3.0. • Short ATR take profit mult: 1.0 to 6.0. Properties visible in this publication • Initial capital: 25000USD • Default order size: Percent of total equity 3% • Pyramiding: 0 • Commission: 0.03 percent • Slippage: 5 ticks • Process orders on close: OFF • Bar magnifier: OFF • Recalculate after order is filled: OFF • Calc on every tick: OFF • request.security lookahead off where used Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Fills and slippage vary by venue • Shapes can move during bar formation and settle on close • Standard candles only for strategies Honest limitations and failure modes • Economic releases or very thin liquidity can overwhelm mean-reversion logic • Heavy gap regimes may require larger gap filter or TR-based tuning • Very quiet regimes reduce signal contrast; extend windows or raise thresholds Open source reuse and credits • None Strategy notice Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution. Entries and exits • Entry logic: as in Signal rule above • Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup • Risk model: ATR-based brackets on shorts when enabled • Tie handling: stop first when both could be touched inside one bar Dataset and sample size • Test across your visible history. For robust inference prefer 100 plus trades.
אסטרטגיית Pine Script®
מאת ‎exlux‎
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
אסטרטגיית Pine Script®
מאת ‎exlux‎
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FluxGate Daily Swing StrategySummary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
אסטרטגיית Pine Script®
מאת ‎exlux‎
Match on Selectable Percentage Change + RangeIndicator Overview: Match on Selectable Percentage Change + Range is a powerful analytical tool designed for traders and analysts who want to identify historical price bars that match a specific percentage variation, and then evaluate how price evolved in the following days. It combines precision filtering with visual tabular feedback, making it ideal for pattern recognition, backtesting, and scenario analysis. What It Does This indicator scans historical bars to find instances where the percentage change between two consecutive closes matches a user-defined target (± a customizable tolerance). Once matches are found, it displays: The date of each match (most recent first) The actual variation searched The percentage change after 2, 10, 20, and 30 bars The min-max range (in %) over those same periods All results are shown in a dynamic table directly on the chart. Inputs & Controls Input Description Which variation do you want to analyze? (%) Set the target percentage change to look for (e.g. 2.5%) % deviation from the variation to be considered (%) Define the tolerance range around the target (e.g. ±0.5%) Bars to analyze (max 9999) Set how many past bars to scan Show match table Toggle to enable/disable the entire table Show percentage variations (2d, 10d, 20d, 30d) Toggle to show/hide post-match percentage changes Show min-max ranges (2d, 10d, 20d, 30d) Toggle to show/hide post-match high/low ranges Table Structure Each row in the table represents a historical match. Columns include: Date: When the match occurred Variation in: The actual % change that triggered the match 2d / 10d / 20d / 30d: % change after those days Min-Max 2d / 10d / 20d / 30d: Range of price movement after those days Color coding helps quickly identify bullish (green) vs bearish (red) outcomes. Use Cases Backtesting: See how similar past moves evolved over time Scenario modeling: Estimate potential outcomes after a known variation Pattern recognition: Spot recurring setups or volatility clusters Risk analysis: Understand post-variation drawdowns and upside potential Tips for Use Use tighter deviation (e.g. 0.3%) for precision, or wider (e.g. 1%) for broader pattern capture. Combine with other indicators to validate setups (e.g. volume, RSI, trend filters). Toggle off variation or range columns to focus only on the metrics you need.
אינדיקטור Pine Script®
מאת ‎FrancescoG65‎
Trend Telescope v4 Basic Configuration pine // Enable only the components you need Order Flow: ON Delta Volume: ON Volume Profile: ON Cumulative Delta: ON Volatility Indicator: ON Momentum Direction: ON Volatility Compression: ON 📊 Component Breakdown 1. Order Flow Analysis Purpose: Identifies buying vs selling pressure Visual: Histogram (Green=Buying, Red=Selling) Calculation: Volume weighted by price position Usage: Spot institutional order blocks 2. Delta Volume Values Purpose: Shows volume imbalance Bull Volume (Green): Volume on up bars Bear Volume (Red): Volume on down bars Usage: Identify volume divergences 3. Anchored Volume Profile Purpose: Finds high-volume price levels POC (Point of Control): Price with highest volume Profile Length: Adjustable (default: 50 bars) Usage: Identify support/resistance zones 4. Cumulative Volume Delta Purpose: Tracks net buying/selling pressure over time Trend Analysis: Rising=Buying pressure, Falling=Selling pressure Divergence Detection: Price vs Delta divergences Usage: Confirm trend strength 5. Volatility Indicator Purpose: Measures market volatility with cycle detection Volatility Ratio: ATR as percentage of price Volatility Cycle: SMA of volatility (identifies periods) Histogram: Difference between current and average volatility Usage: Adjust position sizing, identify breakout setups 6. Real-time Momentum Direction Purpose: Multi-factor momentum assessment Components: Price momentum (50%), RSI momentum (30%), Volume momentum (20%) Visual: Line plot with color coding Labels: Clear BULLISH/BEARISH/NEUTRAL signals Usage: Trend confirmation, reversal detection 7. Volatility Compression Analysis Purpose: Identifies low-volatility consolidation periods Compression Detection: True Range below threshold Strength Meter: How compressed the market is Histogram: Red when compressed, Gray when normal Usage: Predict explosive moves, prepare for breakouts ⚙️ Advanced Configuration Optimal Settings for Different Timeframes pine // Scalping (1-15 min) Profile Length: 20 ATR Period: 10 Momentum Length: 8 Compression Threshold: 0.3 // Day Trading (1H-4H) Profile Length: 50 ATR Period: 14 Momentum Length: 14 Compression Threshold: 0.5 // Swing Trading (Daily) Profile Length: 100 ATR Period: 20 Momentum Length: 21 Compression Threshold: 0.7 Alert Setup Guide Enable "Enable Alerts" in settings Choose alert types: Momentum Alerts: When momentum changes direction Compression Alerts: When volatility compression begins Set alert frequency to "Once Per Bar" Configure notification preferences 🎯 Trading Strategies Strategy 1: Compression Breakout pine Entry Conditions: 1. Volatility Compression shows RED histogram 2. Cumulative Delta trending upward 3. Momentum turns BULLISH 4. Price breaks above POC level Exit: When Momentum turns BEARISH or Compression ends Strategy 2: Momentum Reversal pine Entry Conditions: 1. Strong Order Flow in opposite direction 2. Momentum divergence (price makes new high/low but momentum doesn't) 3. Volume confirms the reversal Exit: When Order Flow returns to trend direction Strategy 3: Institutional Accumulation pine Identification: 1. High Cumulative Delta but flat/sideways price 2. Consistent Order Flow in one direction 3. Volume Profile shows accumulation at specific levels Trade: Enter in direction of Order Flow when price breaks level 📈 Interpretation Guide Bullish Signals ✅ Order Flow consistently green ✅ Cumulative Delta making higher highs ✅ Momentum above zero and rising ✅ Bull Volume > Bear Volume ✅ Price above POC level Bearish Signals ✅ Order Flow consistently red ✅ Cumulative Delta making lower lows ✅ Momentum below zero and falling ✅ Bear Volume > Bull Volume ✅ Price below POC level Caution Signals ⚠️ Momentum divergence (price vs indicator) ⚠️ Volatility compression (potential big move coming) ⚠️ Mixed signals across components 🔧 Troubleshooting Common Issues & Solutions Problem: Indicators not showing Solution: Check "Show on Chart" is enabled Problem: Alerts not triggering Solution: Verify alert is enabled in both script and TradingView alert panel Problem: Performance issues Solution: Reduce number of enabled components or increase timeframe Problem: Volume Profile not updating Solution: Adjust Profile Length setting, ensure sufficient historical data Performance Optimization Disable unused components Increase chart timeframe Reduce historical bar count Use on lower timeframes with fewer indicators enabled 💡 Pro Tips Risk Management Use Volatility Indicator for position sizing Monitor Cumulative Delta for trend confirmation Use POC levels for stop-loss placement Multi-Timeframe Analysis Use higher timeframe for trend direction Use current timeframe for entry timing Correlate signals across timeframes Market Condition Adaptation Trending Markets: Focus on Momentum + Order Flow Ranging Markets: Focus on Volume Profile + Compression High Volatility: Use smaller position sizes Low Volatility: Prepare for compression breakouts 📚 Educational Resources Key Concepts to Master Volume-price relationships Market microstructure Institutional order flow Volatility regimes Momentum vs mean reversion Recommended Learning Path Start with Order Flow + Momentum only Add Volume Profile once comfortable Incorporate Volatility analysis Master multi-component correlation 🆘 Support Getting Help Check component toggles are enabled Verify sufficient historical data is loaded Test on major pairs/indices first Adjust settings for your trading style Continuous Improvement Backtest strategies thoroughly Keep a trading journal Adjust parameters based on market conditions Combine with price action analysis Remember: No indicator is perfect. Use this tool as part of a comprehensive trading plan with proper risk management. Always test strategies in demo accounts before live trading. Happy Trading! 📈
אינדיקטור Pine Script®
מאת ‎lohanineeraj‎
Adaptive Pulse Frequency & Amplitude TrendAdaptive Pulse Frequency & Amplitude Trend Indicator This Pine Script indicator is designed to identify strong bullish or bearish trends by analyzing volume dynamics on a lower timeframe than the one currently displayed on the chart. It operates on the principle of detecting significant spikes in buying or selling pressure, referred to as "pulses," and then evaluating their frequency, strength, and dominance over the opposing market forces. Core Concepts Lower Timeframe Volume Analysis: The script requests up-volume and down-volume data from a more granular, lower timeframe (e.g., 1-minute data when on a 15-minute chart). This provides a higher-resolution view of the flow of buy and sell orders. Adaptive Pulse Detection: A "pulse" is defined as a bar with an unusually high net volume (up volume minus down volume). Instead of using a fixed value, the indicator calculates an adaptive threshold based on the 90th percentile of net volume over a 100-bar lookback period. Any bar with a net volume exceeding this dynamic threshold is flagged as a pulse, categorized as either bullish (positive net volume) or bearish (negative net volume). Frequency and Amplitude: The indicator measures two key aspects of these pulses over user-defined lookback periods: Net Frequency: The number of bullish pulses minus the number of bearish pulses. A positive value indicates more buying pulses, while a negative value indicates more selling pulses. Net Amplitude : The cumulative volume of bullish pulses minus the cumulative volume of bearish pulses. This measures the overall strength and conviction behind the pulses. Primary Trend Signal The indicator's primary signal comes from a strict dominance condition. It doesn't just look for more buying or selling pulses; it checks if these pulses are powerful enough to overwhelm the total opposite pressure in the market. Bullish Dominance (Green Background): A strong bullish signal is generated when the total volume of all bullish pulses within a lookback period is greater than the total down-volume from all bars (not just pulses) in that same period. Bearish Dominance (Red Background): A strong bearish signal is generated when the total volume of all bearish pulses is greater than the total up-volume from all bars in that period. The chart background is colored green for bullish dominance and red for bearish dominance, providing a clear visual cue for when one side has taken decisive control. Plotted Data In addition to the background coloring, the indicator plots several lines in its own pane for more detailed analysis: Net Frequency: Shows the trend in the number of bull vs. bear pulses. Net Amplitude: Shows the trend in the strength of bull vs. bear pulses. Bullish/Bearish Amplitude: The individual cumulative volumes for bull and bear pulses. Dynamic Threshold: The adaptive value used to identify pulses. By combining an adaptive detection method with a strict dominance condition, this tool aims to filter out market noise and highlight periods of genuinely strong, volume-backed trends.
אינדיקטור Pine Script®
מאת ‎Cmo22‎
M2025Overview We Provide you a custom made model called M2025 M2025 works based on some well-known fundamentals of trading, here are the filters/checks we used in this script: MTF Support/Resistance (Based on RSI) Liquidity Levels Displacement/FVG Support/Resistance (Based on RSI) support and resistance are key concepts used to identify potential turning points in the market. Support is a price level where demand is strong enough to prevent the price from falling further — it acts as a “floor.” Resistance is a level where selling pressure tends to stop the price from rising — it acts as a “ceiling.” Support and resistance help traders identify entry points, exit targets, and stop-loss areas, and are essential tools for understanding market structure and trend strength. In M2025 , Support and Resistance are identified based on pivot high and pivot low found with RSI values. Liquidity Levels liquidity levels are price areas where a large number of buy or sell orders are clustered. These zones often form around swing highs, swing lows, support, and resistance levels, where many traders place stop-loss or pending orders. Fair Value Gap an FVG (Fair Value Gap) refers to an imbalance or “gap” in price action that occurs when the market moves too quickly in one direction, leaving little to no trading activity between certain price levels. This gap represents an area where buy and sell orders were not efficiently matched, creating an inefficiency in the market. Traders often expect price to return to these zones later to “fill” the gap, restoring balance and are used to identify potential retracement zones. How it works This Model 2025 mainly works in 4 steps using all the techniques mentioned above. Bullish Setup Step 1 : Market is in Bullish Zone Step 2 : Market Breaks the Buy Side Liquidity Step 3 : Market Makes FVG while moving up before breaking the SSL Step 4 : Market Breaks the Sell Side Liquidity within the Window Range Bearish Setup Step 1 : Market is in Bearish Zone Step 2 : Market Breaks the Sell Side Liquidity Step 3 : Market Makes FVG while moving down before breaking the BSL Step 4 : Market Breaks the Buy Side Liquidity within the Window Range Conclusion M2025 works using well known trading techniques but the innovation in that is using them as steps and triggers which stimulate the real trading methods of many trades around the world. This is just an idea which we wanted to share with this great community of ours, thus this indicator is a tool for technical analysis and it should not be the sole basis for trading decisions for anyone out there. No indicator is perfect hence depending on one is not recommended.
אינדיקטור Pine Script®
מאת ‎AxeAlgo‎
HTF Candles & ReversalsThis indicator, "HTF Candles & Reversals," provides multi-timeframe (HTF) candlestick overlays combined with advanced market structure and reversal detection, all on your main TradingView chart. It empowers traders to visualize the broader trend context, spot potential price reversals, and identify Fair Value Gaps (Imbalances) across up to eight user-selectable higher timeframes, supporting robust, efficient technical analysis.​ Key Features Multi-Timeframe Candle Display: Overlays up to eight higher timeframe candles (5m, 15m, 1H, 4H, 1D, 1W, 1M, 3M) on any chart. Each HTF candle features customizable body, border, and wick colors for bullish and bearish states.​ Live Price Action Representation: HTF candle data is updated in real time, reflecting both completed and developing HTF candles for continuous context during current price moves.​ Reversal Pattern Detection: Spots key bullish and bearish reversal patterns on both standard and HTF candles, marking them with green (bullish) and red (bearish) triangles beneath or above the main candles. HTF candles are optionally colored (lime/orange) upon identifying stronger reversal setups.​ Fair Value Gap (Imbalance) Visualization: Automatically detects and highlights HTF imbalances (FVG) with transparent rectangles and mid-line overlays, indicating zones of potential price revisits and trading interest.​ Day-of-Week Labels: For daily HTF candles, annotated with custom-positioned weekday labels (above/below), aiding in session structure recognition. Customizable Visuals: Extensive settings for the distance, width, transparency, and buffer of overlaid candles, as well as label/timer position, alignment, sizing, and coloring—including per-element control for clarity and chart aesthetics. HTF Timer & Labeling: Optionally display the HTF name and a remaining-time countdown for each candle, positioned at the top, bottom, or both, for improved situational awareness. Performance Optimizations: Script is designed for overlay use with up to 500 candles, lines, and labels on charts with deep historical access (5,000 bars back).​ How to Use Apply the script to your chart and select the desired number of HTF candles to display. Enable or disable triangles for reversal spotting and customize color schemes to match your workflow. Leverage HTF overlays to validate lower timeframe signals, spot key levels, and monitor imbalances as price moves toward or away from high-interest zones. Use settings to tune the look and adjust feature visibility for a clean, focused display.​ Alerts Built-in alert conditions are available for immediate notification when bullish or bearish reversal triangles appear—keeping you informed of critical setups in real time. Use Case Ideal for traders who want to: Add higher-timeframe context and structure to their intraday or swing analysis Quickly identify HTF-based support/resistance and potential reversal areas Monitor market imbalances for order flow strategies or mean reversion plays Access multi-timeframe price action cues without switching charts Disclaimer: This indicator is intended for educational and analytical purposes. Always conduct your own analysis and manage risk appropriately when trading financial markets.​
אינדיקטור Pine Script®
מאת ‎moinTR‎
Constant Auto Trendlines (Extended Right)📈 Constant Auto Trendlines (Extended Right) This indicator automatically detects market structure by connecting swing highs and lows with permanent, forward-projecting trendlines. Unlike standard trendline tools that stop at the last pivot, this version extends each trendline infinitely into the future — helping traders visualize where price may react next. 🔍 How It Works The script identifies pivot highs and lows using user-defined left/right bar counts. When a new lower high or higher low appears, the indicator draws a line between the two pivots and extends it forward using extend.right. Each new confirmed trendline stays fixed, creating a historical map of structure that evolves naturally with market action. Optional filters: Min Slope – ignore nearly flat trendlines Show Latest Only – focus on the most relevant trendline Alerts – get notified when price crosses the most recent uptrend or downtrend line 🧩 Why It’s Useful This tool helps traders: Spot emerging trends early Identify dynamic support/resistance diagonals Avoid redrawing trendlines manually Backtest structure breaks historically ⚙️ Inputs Pivot Left / Right bars Min slope threshold Line color, width, and style Show only latest line toggle Alert options
אינדיקטור Pine Script®
מאת ‎rrtaker86‎
1
NWOG/NDOG + EHPDA🌐 ENGLISH DESCRIPTION Hybrid NWOG/NDOG + EHPDA – Advanced Gaps & Event Horizon Indicator (Enhanced with Real-Time Alerts and Info Table) 📊 Overview This advanced indicator combines automatic detection of weekly gaps (NWOG) and daily gaps (NDOG) with the Event Horizon (EHPDA) concept, now featuring customizable alerts and a real-time info table for a more efficient trading experience. Designed for traders who operate based on institutional price structures, liquidity zones, and SMC/ICT confluences. ✨ Key Features 1. Gap Detection & Visualization NWOG (New Week Opening Gap): Identifies and visualizes the gap between Friday’s close and Monday’s open. NDOG (New Day Opening Gap): Detects daily gaps on intraday timeframes. Enhanced visualization: Semi-transparent boxes, price levels (top, middle, bottom), and lines extended to the current bar. Customizable labels: Display gap formation date and price levels (optional). 2. Event Horizon (EHPDA) Automatically calculates the Event Horizon level between two non-overlapping gaps. Dashed line marking the equilibrium zone between bullish and bearish gaps. 3. Advanced 5pm-6pm Mode Special option to detect the Sunday-Monday gap using 4H bars. 4. Real-Time Alerts New gaps (NWOG/NDOG): Immediate notification when a new gap forms. Gap fill: Alert when price completely fills a gap. Event Horizon active: Notification when the Event Horizon level is triggered. 5. Info Table Real-time display: number of active gaps, Event Horizon status, time remaining until weekly/daily close. Customizable: position, size, and style. 🎨 Customization Configurable colors for bullish gaps, bearish gaps, and Event Horizon line. Customizable price labels and date format. 📈 Use Cases Reversal trading, price targets, liquidity zones, SMC/ICT confluences. ⚙️ Recommended Settings Timeframes: Daily and intraday (15m, 1H, 4H, etc.). NWOG: Enable on all timeframes. NDOG: Enable only on intraday. Max Gaps: 3-5 for clean charts, 10-15 for historical analysis. 📝 Important Notes Works best on 24/5 markets (Forex, Crypto). Gaps automatically close when filled. Event Horizon only appears with at least 2 non-overlapping gaps.
אינדיקטור Pine Script®
מאת ‎CDC_Trading_LABN‎
CVD Divergence + Volume MarkerHere is a Pine Script concept to mark candlestick chart candles when cumulative delta is divergent to price action and volume is above average. Cumulative delta divergence typically occurs when the price forms new highs/lows while cumulative delta forms lower highs/lows (or vice versa). The script should include a marker only when this divergence occurs alongside above-average volume, increasing signal strength and filtering out weak setups.​ Coding Concept Calculate cumulative delta (approximation using price and volume if true bid/ask volume is unavailable, e.g., on spot). Calculate moving average of volume. Detect bullish divergence (price makes lower low, cumulative delta makes higher low) and bearish divergence (price makes higher high, cumulative delta makes lower high). Mark candle with above-average volume when divergence is present.
אינדיקטור Pine Script®
מאת ‎WallstMoonMan‎
Flip to GreenPurpose: This indicator applies a Lorentzian-distance–based machine-learning model to classify market conditions and highlight probable momentum shifts. Where traditional indicators react to price movement, this one uses statistical pattern recognition to predict when momentum is likely to flip direction — the classic “flip to green” signal. Concept: Financial markets don’t move linearly; they bend and distort around major catalysts (news, FOMC meetings, earnings, etc.) in a way similar to how gravity warps space-time. This indicator accounts for that distortion by measuring distance in Lorentzian space instead of the usual Euclidean space. In simple terms: it adapts to volatility “warping,” allowing the model to detect structural momentum changes that normal math misses. Core logic: Imports two custom libraries: MLExtensions for machine-learning utilities KernelFunctions for advanced distance calculations Computes relationships among multiple features (e.g., RSI, ADX, or other inputs). Uses Lorentzian geometry to weight how recent price-time behavior influences current classification. Outputs a visual “flip” cue when the probability of trend reversal exceeds threshold confidence. Why it matters: Most indicators measure what has already happened. Lorentzian Classification attempts to capture what’s about to happen by comparing the present market state to a trained historical distribution under warped “price-time” geometry. It’s particularly useful for spotting early accumulation or exhaustion zones before they become obvious on standard momentum tools. Recommended use: Run it as a background trend classifier or color overlay. Combine it with volume-based confirmation tools (e.g., Dollar Volume Ownership Gauge) and structural analysis. A “flip to green” suggests buyers are regaining control; a fade or flip to red implies control returning to sellers.
אינדיקטור Pine Script®
מאת ‎Mando4_27‎
Dollar Volume Ownership GaugePurpose: DVOG tracks the real money moving through a ticker by converting share volume into dollar volume (price × volume). It helps identify when institutional-sized players enter, defend, or unload positions — information that plain volume bars often hide. How it works: Each bar represents 4-minute aggregated dollar volume. Green bars = moderate sponsorship ($400 K–$1 M per 4 min). Red bars = heavy sponsorship ($1 M+ per 4 min). Black bars = normal retail flow (under $400 K). Optional horizontal guides mark both thresholds for quick reference. Alerts: Green Bar Alert: fires every time a bar exceeds $400 K, signaling fresh institutional activity. Cross Alerts: trigger once when dollar volume crosses the $400 K or $1 M levels, perfect for automation or notifications. Why it’s useful: DVOG visually confirms when a breakout, knife-and-reclaim, or coil is being driven by real capital rather than low-liquidity noise. It turns abstract volume into a direct measure of who’s actually in control. Recommended use: Run it in a separate pane below price. Combine with your normal structure analysis — higher lows, double bottoms, coils, etc. — and act only when structure and sponsorship line up.
אינדיקטור Pine Script®
מאת ‎Mando4_27‎
Topdown Jason IndicatorFramework: Multi-Timeframe Smart-Money-Concept (SMC) analysis The Topdown Final Indicator is a fully dynamic, top-down market-structure tool that synchronizes higher-timeframe context (H4, H1, and Weekly) with precision M15 entry signals. It was designed to replicate institutional “top-down” analysis — identifying high-probability setups by combining FVGs (Fair Value Gaps), fractal sweeps, and EMA trend alignment across multiple timeframes. 🔹 Core Features H4 Fair Value Gap Detection Automatically marks active bullish and bearish FVGs, with customizable extension and retention controls. H1 Trend Filter (20/50 EMA) Confirms directional bias based on EMA structure and dynamic spread filtering. Optionally enforces directional confluence with the higher (weekly) trend. M15 Precision Entry Logic Executes simulated long or short entries when M15 EMA crossover aligns with armed FVGs and higher-timeframe trend conditions. Smart EMA Visibility The M15 EMAs automatically appear only when price enters an H4 FVG and the H1 trend confirms — and remain visible until the next EMA cross, visually guiding the active trade phase. Risk Management Simulation Dynamic Take-Profit and Stop-Loss projection Optional 50% partial exits at 1R Internal “virtual position” tracking for clean non-strategy visualization (no repainting) Visual Management Bullish / bearish FVG zones with adjustable colors Optional H1 and M15 EMA overlays Auto-cleaning of expired or irrelevant FVGs Debug logs (optional) for real-time logic tracing
אינדיקטור Pine Script®
מאת ‎paul_roth‎
Precision Swing Point (2-Stage) - SMT [Pogiest]General Precision Swing Point (PSP) is a concept derived from Quarterly Theory concepts originating from ICT methodologies. The concept typically uses a 3-candle swing formation in which candle 2 has a divergence in the closing price with one asset compared to the other two assets in a correlated asset triad (i.e. one closes bullish and other two closes bearish, vice-versa). A Terminus Price Divergence (TPD) is an additional divergence between candle 1’s closing price and candle 3’s opening price (i.e. one asset’s candle 3 opening price opens below candle 1 closing price while the other two assets’ candle 3 opening price opens above candle 1 closing price, vice-versa). The candle 3 divergence and candle 2 divergence put together is what defines a TPD. This indicator is designed to track TPDs in real time as they are forming. Additionally, the indicator tracks SMT (Smart Money Technique) divergences between Candle 1/Candle 2 highs/lows and Candle 2/Candle 3 high/lows. Note: Credit of concepts/ideas goes to TraderDaye, JacobSpeculates, The Market Lens Team, and ICT. In the image above, the higher timeframe candle overlay are displayed on the chart to be shown as an example with the indicator (table). Higher timeframe candles are not included as part of the indicator. This indicator is only comprised of the table shown. How the Indicator Table Works Timeframe Column: 1. Displays up to four different timeframes to monitor. Asset Columns: 1. Cells display “Bull” or “Bear” showing the current state of each candle and updates in real-time tick by tick. TPD Status Column (see defined divergences in General section above): 1. “Inactive” indicates no divergence in all assets (i.e. all three assets in a triad are all printing bullish or bearish candles) 2. “Pending” indicates a potential divergence in candle 2’s closing price (i.e. one asset’s current state in candle 2 is bearish while the others are bullish, vice versa). This updates in real-time tick by tick and continues to monitor each candle as they form for a candle 2 divergence. 3. “Active” indicates a confirmed TPD in which both a candle 2 divergence and candle 3 divergence (i.e. divergence between candle 3 opening price and candle 1 closing price) exists. Note 1: If candle 2 has an asset in a correlated triad close as a doji candle (opening price and closing price are exactly the same) while the other two assets close bullish or bearish, the indicator will not deem candle 2 as a valid PSP candle. There has to be a divergence in the opening/closing price on at least two assets to be valid. Note 2: Any historical TPDs will not be displayed in the table as this indicator only tracks TPDs in real time and continuously monitors for potential TPDs and confirmed TPDs. Added Feature (2 Stage PSP) SMT 1: Displays an SMT consecutive candle divergence between candle 1 and candle 2’s highs and lows. This is displayed once a TPD is in “Active” status while candle 3 is printing. Therefore, the label in the table cell displays past data (Candle 1 and Candle 2 high/low SMTs). 1. “Inactive” indicates there were no SMT divergences. 2. “Asset symbol names” are displayed with a corresponding up arrow or down arrow. Cell background color is red for SMT Divergence at the highs and green for SMT Divergence at the lows. For example, if there was a bearish SMT at the highs of candle 1/candle 2 and one asset made the higher high in candle 2, then that asset would have the up arrow indicating it swept candle 1’s high while the other assets have the down arrow as they did not sweep candle 1’s high. This works vice versa for bullish scenario. 3. “Both” indicates there are SMT divergences at both the highs and lows of candle 1 and candle 2. SMT 2: Displays an SMT consecutive candle divergence between candle 2 and candle 3’s highs and lows. This is displayed while a TPD is in “Active” status and updates in real-time tick by tick during candle 3’s price action. 1. “Inactive” indicates there are no current SMT divergences. 2. “Asset symbol names” are displayed with a corresponding up arrow or down arrow. Cell background color is red for SMT Divergence at the highs and green for SMT Divergence at the lows. For example, if there was a bearish SMT at the highs of candle 2/candle 3 and one asset made the higher high in candle 3, then that asset would have the up arrow indicating it swept candle 2’s high while the other assets have the down arrow as they did not sweep candle 2’s high. If one of the assets that did not sweep candle 2’s high ends up sweeping the high, then that asset will dynamically move to the left of the cell next to the asset that swept candle 2’s high with an up arrow leaving only one asset with the down arrow. If the last asset ends up sweeping candle 2’s high, then the cell would change to “Inactive”. This works vice versa for bullish scenario. 3. “Both” indicates there are SMT divergences at both the highs and lows of candle 2 and candle 3. If an SMT on one side gets deleted, then the cell will automatically update to display the SMT that is still intact. Note: Equal lows/highs are considered to be a failure swing since it did not sweep the previous candle low/high. Settings 1. Choose up to three different assets to monitor. Note: If only two are selected, the indicator will only display the two selected and compare the two assets for divergences. If one is selected, a warning sign will be displayed to select at least two assets. 2. Choose up to four different timeframes. Option to deselect timeframes. 3. Option to enable all alerts or active alerts. Alerts include the different status changes in the table (i.e. Pending, Active, Bullish SMT, Bearish SMT, etc for each or all timeframes). 4. Toggle option to show/hide the table. Toggle option to show/hide the “Title Row” which is the first row at the top of the table. 5. Adjust the table positioning to be displayed on the chart. 6. Option to change text size in the table cells. This will also increase/decrease the size of the table. 7. Table Color Customization gives you options to change the background colors of the cells including text color. What makes this indicator unique: 1. Track current PSP/TPD status in real-time tick by tick as candles form in multiple timeframes. 2. Track consecutive candle SMT in a 3-candle swing formation in real-time in multiple timeframes. 3. Instead of switching through timeframes to check for PSPs/TPDs, they are consolidated in one table. Risk Disclaimer This indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions remain solely the responsibility of the user. Trading involves a high degree of risk, and past performance is not indicative of future results. Always conduct your own research and consult with a qualified financial professional before making any trading decisions. By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
אינדיקטור Pine Script®
מאת ‎Pogiest‎
Inside SwingsOverview The Inside Swings indicator identifies and visualizes "inside swing" patterns in price action. These patterns occur when price creates a series of pivots that form overlapping ranges, indicating potential consolidation or reversal zones. What are Inside Swings? Inside swings are specific pivot patterns where: - HLHL Pattern: High-Low-High-Low sequence where the first high is higher than the second high, and the first low is lower than the second low - LHLH Pattern: Low-High-Low-High sequence where the first low is lower than the second low, and the first high is higher than the second high Here an Example These patterns create overlapping price ranges that often act as: - Support/Resistance zones - Consolidation areas - Potential reversal points - Breakout levels Levels From the Created Range Input Parameters Core Settings - Pivot Lookback Length (default: 5): Number of bars on each side to confirm a pivot high/low - Max Boxes (default: 100): Maximum number of patterns to display on chart Extension Settings - Extend Lines: Enable/disable line extensions - this extends the Extremes of the Swings to where a new Swing Started or Extended Right for the Latest Inside Swings - Show High 1 Line: Display first high/low extension line - Show High 2 Line: Display second high/low extension line - Show Low 1 Line: Display first low/high extension line - Show Low 2 Line: Display second low/high extension line Visual Customization Box Colors - HLHL Box Color: Color for HLHL pattern boxes (default: green) - HLHL Border Color: Border color for HLHL boxes - LHLH Box Color: Color for LHLH pattern boxes (default: red) - LHLH Border Color: Border color for LHLH boxes Line Colors - HLHL Line Color: Extension line color for HLHL patterns - LHLH Line Color: Extension line color for LHLH patterns - Line Width: Thickness of extension lines (1-5) Pattern Detection Logic HLHL Pattern (Bullish Inside Swing) Condition: High1 > High2 AND Low1 < Low2 Sequence: High → Low → High → Low Visual: Two overlapping boxes with first range encompassing second Detection Criteria: 1. Last 4 pivots form High-Low-High-Low sequence 2. Fourth pivot (first high) > Second pivot (second high) 3. Third pivot (first low) < Last pivot (second low) LHLH Pattern (Bearish Inside Swing) Condition: Low1 < Low2 AND High1 > High2 Sequence: Low → High → Low → High Visual: Two overlapping boxes with first range encompassing second Detection Criteria: 1. Last 4 pivots form Low-High-Low-High sequence 2. Fourth pivot (first low) < Second pivot (second low) 3. Third pivot (first high) > Last pivot (second high) Visual Elements Boxes - Box 1: Spans from first pivot to last pivot (larger range) - Box 2: Spans from third pivot to last pivot (smaller range) - Overlap: The intersection of both boxes represents the inside swing zone Extension Lines - High 1 Line: Horizontal line at first high/low level - High 2 Line: Horizontal line at second high/low level - Low 1 Line: Horizontal line at first low/high level - Low 2 Line: Horizontal line at second low/high level Line Extension Behavior - Historical Patterns: Lines extend until the next pattern starts - Latest Pattern: Lines extend to the right edge of chart - Dynamic Updates: All lines are redrawn on each bar for accuracy Trading Applications Support/Resistance Levels Inside swing levels often act as: - Dynamic support/resistance - Breakout confirmation levels - Reversal entry points Pattern Interpretation - HLHL Patterns: Potential bullish continuation or reversal - LHLH Patterns: Potential bearish continuation or reversal - Overlap Zone: Key area for price interaction Entry Strategies 1. Breakout Strategy: Enter on break above/below inside swing levels 2. Reversal Strategy: Enter on bounce from inside swing levels 3. Range Trading: Trade between inside swing levels Technical Implementation Data Structures type InsideSwing int startBar // First pivot bar int endBar // Last pivot bar string patternType // "HLHL" or "LHLH" float high1 // First high/low float low1 // First low/high float high2 // Second high/low float low2 // Second low/high box box1 // First box box box2 // Second box line high1Line // High 1 extension line line high2Line // High 2 extension line line low1Line // Low 1 extension line line low2Line // Low 2 extension line bool isLatest // Latest pattern flag Memory Management - Pattern Storage: Array-based storage with automatic cleanup - Pivot Tracking: Maintains last 4 pivots for pattern detection - Resource Cleanup: Automatically removes oldest patterns when limit exceeded Performance Optimization - Duplicate Prevention: Checks for existing patterns before creation - Efficient Redraw: Only redraws lines when necessary - Memory Limits: Configurable maximum pattern count Usage Tips Best Practices 1. Combine with Volume: Use volume confirmation for breakouts 2. Multiple Timeframes: Check higher timeframes for context 3. Risk Management: Set stops beyond inside swing levels 4. Pattern Validation: Wait for confirmation before entering Common Scenarios - Consolidation Breakouts: Inside swings often precede significant moves - Reversal Zones: Failed breakouts at inside swing levels - Trend Continuation: Inside swings in trending markets Limitations - Lagging Indicator: Patterns form after completion - False Signals: Not all inside swings lead to significant moves - Market Dependent: Effectiveness varies by market conditions Customization Options Visual Adjustments - Modify colors for different market conditions - Adjust line widths for visibility - Enable/disable specific elements Detection Sensitivity - Increase pivot length for smoother patterns - Decrease for more sensitive detection - Balance between noise and signal Display Management - Control maximum pattern count - Adjust cleanup frequency - Manage memory usage Conclusion The Inside Swings indicator provides a systematic approach to identifying consolidation and potential reversal zones in price action. By visualizing overlapping pivot ranges The indicator's strength lies in its ability to: - Identify key price levels automatically - Provide visual context for market structure - Offer flexible customization options - Maintain performance through efficient memory management
אינדיקטור Pine Script®
מאת ‎mindyourbuisness‎
4
VAGANZA Swings V1 LITE1. Introduction: The Philosophy Behind VAGANZA Swings The VAGANZA Swings V1 LITE was developed to solve a common problem faced by swing traders: getting caught in low-probability trades during choppy, sideways markets. Many indicators can identify a trend, but few can effectively measure its quality and pinpoint optimal, low-risk entry points within that trend. This script is not merely a "mashup" of existing indicators. It is a structured, multi-layered filtering system where each component is specifically chosen to address the weaknesses of the others. The core philosophy is to trade only when there is a clear market consensus, confirmed by trend, strength, momentum, and volume. This results in fewer signals, but each signal is designed to be of significantly higher quality. 2. The VAGANZA Confirmation Engine: A Deeper Look at the Logic A signal is only generated when four distinct market conditions align. This sequential confirmation process is what makes the script unique and robust. Layer 1: The Trend Regime Filter What it does: The indicator first establishes the dominant market bias using a dual-speed baseline system. A faster-reacting baseline is compared against a slower, more stable baseline to determine if the market is in a long-term bullish or bearish "regime." Why it's important: This foundational step ensures we are never fighting the primary market current. BUY signals are disabled during a bearish regime, and SELL signals are disabled during a bullish regime, instantly eliminating 50% of potentially bad trades. Layer 2: The Trend Strength & Conviction Qualifier What it does: This is the script's core intelligence. After confirming the trend's direction, this layer uses a directional volatility engine to measure the trend's strength or conviction. It analyzes the expansion between bullish and bearish price movements. Why it's important: A simple moving average crossover can occur in a weak, drifting market, leading to false signals. This filter requires the trend to be demonstrably powerful (above a predefined strength threshold of 25) before allowing the system to even look for an entry. It's the primary filter for avoiding sideways market traps. Layer 3: The Dynamic Pullback & Entry Trigger What it does: Instead of chasing price at its peak, the script waits for a natural "breather" or pullback. It employs a momentum cycle oscillator to identify when the price has become temporarily oversold within a strong uptrend, or overbought within a strong downtrend. The signal is triggered at the precise moment momentum appears to be rejoining the primary trend. Why it's important: This ensures a more favorable risk-to-reward ratio. By entering on a pullback, traders can avoid buying the top or selling the bottom of a short-term swing, which is a common mistake. Layer 4: The Volume Participation Check What it does: As a final confirmation, the script checks the volume on the signal candle. It requires the volume to be higher than its recent average. Why it's important: A price move without significant volume can be a trap. This final check confirms that there is genuine market participation and conviction behind the signal, suggesting that larger market players are supporting the move. 3. The Synergy of the System (Why This Combination is Original) The originality of VAGANZA Swings lies not in its individual components, but in their synergistic interaction: The Trend Regime Filter sets the stage. The Trend Strength Qualifier prevents signals when the stage is poorly lit (i.e., a weak trend). The Pullback & Entry Trigger tells the actor exactly when to enter the stage for maximum impact. The Volume Check ensures the audience is actually watching. Without the strength filter, the trend filter would fail in ranging markets. Without the pullback trigger, entries would have poor risk-reward. This interdependent, sequential logic provides a unique and useful tool that goes beyond what a single indicator can offer. 4. How to Use This Script Timeframe: Optimized for the 4-Hour (H4) chart, as this provides a balance between meaningful swings and actionable signals. It can also be used on the Daily (D1) chart for longer-term analysis. BUY Signal (Green "BUY" Arrow): Appears only when a strong, confirmed uptrend experiences a temporary, oversold pullback and volume confirms renewed buying interest. This is a high-probability signal to consider a long position. SELL Signal (Red "SELL" Arrow): Appears only when a strong, confirmed downtrend experiences a temporary, overbought rally and volume confirms renewed selling pressure. This is a high-probability signal to consider a short position. Risk Management: This indicator provides entry signals only. It is crucial that you apply your own risk management rules. Always use a stop-loss and have a clear take-profit strategy for every trade. Disclaimer: This tool is for decision-support and does not constitute financial advice. All trading involves risk. Past performance is not indicative of future results. Please backtest thoroughly before using this script with real capital.
אינדיקטור Pine Script®
מאת ‎VAGANZA‎
Torus Trend Bands — Windowed HammingTorus Trend Bands — Windowed Hamming This TradingView indicator creates dynamic support and resistance bands on your chart. It uses the mathematical model of a torus (a donut shape) to generate cyclical and responsive channel boundaries. The bands are further refined with an advanced smoothing method called a Hamming window to reduce noise and provide a clearer signal. How It Works The Torus Model: The indicator maps price action onto a geometric torus shape. This is defined by two key parameters: Major Radius (a): The distance from the center of the torus to the center of the tube. This controls the overall size and primary cycle. Minor Radius (b): The radius of the tube itself. This controls the secondary, faster "breathing" motion of the bands. Dual-Phase Engine: The behavior of the bands is driven by two different cyclical inputs, or "phases": Major Rotation (φ): A slow, time-based cycle (φ period) that governs the long-term oscillation of the bands. Minor Rotation (q): A fast, momentum-based cycle derived from the Relative Strength Index (RSI). This makes the bands react quickly to price momentum, expanding and contracting as the market becomes overbought or oversold. Standard Technical Core : The torus model is anchored to the price chart using standard indicators: Midline : A central moving average that acts as the baseline for the channel. You can choose from EMA, SMA, HMA, or VWAP. Width Source: A volatility measure that determines the fundamental width of the bands. You can choose between the Average True Range (ATR) or Standard Deviation. Hamming Window Smoothing: This is a sophisticated weighted averaging technique (a Finite Impulse Response filter) used in digital signal processing. It provides exceptionally smooth results with less lag than traditional moving averages. You can apply this smoothing to the RSI, the midline, and the width source independently to filter out market noise. How to Interpret and Use the Indicator Dynamic Support & Resistance: The primary use is to identify potential reversal or continuation points. The upper band acts as dynamic resistance, and the lower band acts as dynamic support. Trend Identification: The color of the bands helps you quickly see the current trend. Teal bands indicate an uptrend (the midline is rising), while red bands indicate a downtrend (the midline is falling). Volatility Gauge: When the bands widen, it signals an increase in market volatility. When they contract, it suggests volatility is decreasing. Alerts: The indicator includes built-in alerts that can notify you when the price touches or breaks through the upper or lower bands, helping you stay on top of key price action. Key Settings Torus Parameters : Adjust Major radius a and Minor radius b to change the shape and cyclical behavior of the bands. Phase Controls: φ period: Controls the length of the main, slow cycle in bars. RSI length → q: Sets the lookback for the RSI that drives the momentum-based cycle. Midline & Width: Choose the type and length for the central moving average and the volatility source (ATR/StDev) that best fits your trading style. Width & Bias Shaping: Min/Max width ×: Control how much the bands expand and contract. Bias ×: Shifts the entire channel up or down based on RSI momentum, helping the bands better capture strong trends. Hamming Controls: Enable or disable the advanced smoothing on different parts of the indicator and set the Hamming length (a longer length results in more smoothing). This indicator provides a unique and highly customizable way to visualize market cycles, volatility, and trend, combining geometry with proven technical analysis tools.
אינדיקטור Pine Script®
מאת ‎Cmo22‎
Zarza Trade🕊️ Zarza Trade Indicator for God’s Kingdom “But remember the Lord your God, for it is He who gives you the power to get wealth, that He may establish His covenant.” — Deuteronomy 8:18 The Zarza Trade Indicator is more than a trading tool — it’s a divinely inspired system designed to help Kingdom traders operate with clarity, discipline, and spiritual alignment in the markets. Built to detect momentum shifts, liquidity zones, reversals, and smart-money movements, this indicator brings together the best of technical precision and prophetic purpose. This isn’t just about charts — it’s about stewardship. Every trade is an act of faith and discernment, partnering with Heaven’s wisdom to prepare for the great wealth transfer that will fund God’s Kingdom projects and reach souls across the nations.
אינדיקטור Pine Script®
מאת ‎pddcnllc‎