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อินดิเคเตอร์และกลยุทธ์

Basit Trend AL/SAT//@version=5 indicator("Basit Trend AL/SAT", overlay=true) yesil = close > open kirmizi = close < open 1 = yeşil, -1 = kırmızı, 0 = başlangıç var int trend = 0 trend := yesil ? 1 : kirmizi ? -1 : trend al = yesil and trend != 1 sat = kirmizi and trend != -1 plotshape(al, title="AL", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.large, text="AL") plotshape(sat, title="SAT", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large, text="SAT") bgcolor(trend == 1 ? color.new(color.green, 85) : trend == -1 ? color.new(color.red, 85) : na)
อินดิเคเตอร์ Pine Script®
โดย ARMAGAN007
Jurik Angle Flow [Kodexius]Jurik Angle Flow is a Jurik based momentum and trend strength oscillator that converts Jurik Moving Average behavior into an intuitive angle based flow gauge. Instead of showing a simple moving average line, this tool measures the angular slope of a smoothed Jurik curve, normalizes it and presents it as a bounded oscillator between plus ninety and minus ninety degrees. The script uses two Jurik engines with different responsiveness, then blends their information into a single power score that drives both the oscillator display and the on chart gauge. This makes it suitable for identifying trend direction, trend strength, exhaustion conditions and early shifts in market structure. Built in divergence detection between price and the Jurik angle slope helps highlight potential reversal zones while bar coloring and a configurable no trade zone assist with visual filtering of choppy conditions. 🔹 Features 🔸 Dual Jurik slope engine The indicator internally runs two Jurik Moving Average calculations on the selected source price. A slower Jurik stream models the primary trend while a faster Jurik stream reacts more quickly to recent changes. Their slopes are measured as angles in degrees, scaled by Average True Range so that the slope is comparable across different instruments and timeframes. 🔸 Angle based oscillator output Both Jurik streams are converted into angle values by comparing the current value to a lookback value and normalizing by ATR. The result is passed through the arctangent function and expressed in degrees. This creates a smooth oscillator that directly represents steepness and direction of the Jurik curve instead of raw price distance. 🔸 Normalized power score The angle values are transformed into a normalized score between zero and one hundred based on their absolute magnitude, then the sign of the angle is reapplied. This yields a symmetric score where extreme positive values represent strong bullish pressure and extreme negative values represent strong bearish pressure. The final power score is a weighted blend of the slow and fast Jurik scores. 🔸 Adaptive color gradients The main oscillator area and the fast slope line use gradient colors that react to the angle strength and direction. Rising green tones reflect bullish angular momentum while red tones reflect bearish pressure. Neutral or shallow slopes remain visually softer to indicate indecision or consolidation. 🔸 Trend flip markers Whenever the primary Jurik slope crosses through zero from negative to positive, an up marker is printed at the bottom of the oscillator panel. Whenever it crosses from positive to negative, a down marker is drawn at the top. These flips act as clean visual signals of potential trend initiation or termination. 🔸 Divergence detection on Jurik slope The script optionally scans the fast Jurik slope for pivot highs and lows. It then compares those oscillator pivots against corresponding price pivots. Regular bullish divergence is detected when the oscillator prints a higher low while price prints a lower low. Regular bearish divergence is detected when the oscillator prints a lower high while price prints a higher high. When detected, the tool draws matching divergence lines both on the oscillator and on the chart itself, making divergence zones easy to notice at a glance. 🔸 Bar coloring and no trade filter Bars can be colored according to the primary Jurik slope gradient so that price bars reflect the same directional information as the oscillator. Additionally a configurable no trade threshold can visually mute bars when the absolute angle is small. This highlights trending sequences and visually suppresses noisy sideways stretches. 🔸 On chart power gauge A creative on chart gauge displays the composite power score beside the current price action. It shows a vertical range from plus ninety to minus ninety with a filled block that grows proportionally to the normalized score. Color and label updates occur in real time and provide a quick visual summary of current Jurik flow strength without needing to read exact oscillator levels. 🔹 Calculations Below are the main calculation blocks that drive the core logic of Jurik Angle Flow. Jurik core update method update(JMA self, float _src) => self.src := _src float phaseRatio = self.phase < -100 ? 0.5 : self.phase > 100 ? 2.5 : self.phase / 100.0 + 1.5 float beta = 0.45 * (self.length - 1) / (0.45 * (self.length - 1) + 2) float alpha = math.pow(beta, self.power) if na(self.e0) self.e0 := _src self.e1 := 0.0 self.e2 := 0.0 self.jma := 0.0 self.e0 := (1 - alpha) * _src + alpha * self.e0 self.e1 := (_src - self.e0) * (1 - beta) + beta * self.e1 float prevJma = self.jma self.e2 := (self.e0 + phaseRatio * self.e1 - prevJma) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * self.e2 self.jma := self.e2 + prevJma self.jma This method implements the Jurik Moving Average engine with internal state and phase control, producing a smooth adaptive value stored in self.jma. Angle calculation in degrees method getAngle(float src, int lookback=1) => float rad2degree = 180 / math.pi float slope = (src - src ) / ta.atr(14) float ang = rad2degree * math.atan(slope) ang The slope between the current value and a lookback value is divided by ATR, then converted from radians to degrees through the arctangent. This creates a volatility normalized angle oscillator. Normalized score from angle method normScore(float ang) => float s = math.abs(ang) float p = s / 60.0 * 100.0 if p > 100 p := 100 p The absolute angle is scaled so that sixty degrees corresponds to a score of one hundred. Values above that are capped, which keeps the final score within a fixed range. The sign is later reapplied to restore direction. Slow and fast Jurik streams and power score var JMA jmaSlow = JMA.new(jmaLen, jmaPhase, jmaPower, na, na, na, na, na) var JMA jmaFast = JMA.new(jmaLen, jmaPhase, 2.0, na, na, na, na, na) float jmaValue = jmaSlow.update(src) float jmaFastValue = jmaFast.update(src) float jmaSlope = jmaValue.getAngle() float jmaFastSlope = jmaFastValue.getAngle() float scoreJma = normScore(jmaSlope) * math.sign(jmaSlope) float scoreJmaFast = normScore(jmaFastSlope) * math.sign(jmaFastSlope) float totalScore = (scoreJma * 0.6 + scoreJmaFast * 0.4) A slower Jurik and a faster Jurik are updated on each bar, each converted to an angle and then to a signed normalized score. The final composite power score is a weighted blend of the slow and fast scores, where the slow score has slightly more influence. This composite drives the on chart gauge and summarizes the overall Jurik flow.
อินดิเคเตอร์ Pine Script®
โดย Kodexius
CRUX-3 Macro Regime Index"CRUX-3 Macro Regime Index" Description: CRUX-3 Macro Regime Index is a higher-timeframe macro indicator designed to evaluate how crypto markets are performing relative to traditional equities. It compares Bitcoin, Ethereum, and the broader altcoin market (TOTAL3) against the S&P 500 using Z-score normalization to highlight periods of relative outperformance or underperformance. The indicator incorporates liquidity-based regime detection using Bitcoin dominance and stablecoin dominance to classify market environments as Risk-On, BTC-Led, or Risk-Off. Background shading visually highlights these regimes, helping users identify broader macro conditions rather than short-term trade signals. CRUX-3 is intended for macro context, regime awareness, and allocation bias decisions, not for precise trade entries or timing. How to Use: Weekly timeframe recommended for best results Rising Z-scores indicate crypto outperforming equities ETH/SPX typically acts as an early rotation signal TOTAL3/SPX confirms broader altcoin participation Regime shading reflects liquidity conditions, not price forecasts Regime Definitions: Risk-On: BTC dominance and stablecoin dominance declining BTC-Led: BTC dominance strong while stablecoin dominance eases Risk-Off: BTC dominance and stablecoin dominance rising Notes: Forward regime bands are statistical reference guides based on historical behavior This indicator does not predict future prices or market direction Best used alongside price charts and other macro tools Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading recommendations. Recommended Settings: Timeframe: Weekly (1W) Z-Score Lookback: 52 Forward Regime Bands: Enabled
อินดิเคเตอร์ Pine Script®
โดย inkadinka_ka
1
RCI4linesRCI4lines plots four Rank Correlation Index (RCI) lines in a single panel to help you read momentum and trend conditions at a glance. It shows two short-term RCIs (default: 7 and 9), a middle-term RCI (26), and a long-term RCI (52). The script also draws shaded threshold zones between +80 to +95 and -80 to -95, making it easier to spot potential overbought / oversold areas and compare short-term moves with the bigger trend. Useful for scalping to day trading, and for checking whether short-term momentum is aligned with mid/long-term direction.
อินดิเคเตอร์ Pine Script®
โดย ensho_inusan
Renkli EMA Crossover//@version=5 indicator("Renkli EMA Crossover", overlay=true) // EMA periyotları fastLength = input.int(9, "Hızlı EMA") slowLength = input.int(21, "Yavaş EMA") // EMA hesaplama fastEMA = ta.ema(close, fastLength) slowEMA = ta.ema(close, slowLength) // EMA renkleri fastColor = fastEMA > fastEMA ? color.green : color.red slowColor = slowEMA > slowEMA ? color.blue : color.orange // EMA çizgileri (agresif kalın) plot(fastEMA, color=fastColor, linewidth=3, title="Hızlı EMA") plot(slowEMA, color=slowColor, linewidth=3, title="Yavaş EMA") // Kesişimler bullCross = ta.crossover(fastEMA, slowEMA) bearCross = ta.crossunder(fastEMA, slowEMA) // Oklarla sinyal gösterimi plotshape(bullCross, title="Al Sinyali", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large) plotshape(bearCross, title="Sat Sinyali", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large)
อินดิเคเตอร์ Pine Script®
โดย ARMAGAN007
Range-Weighted Volatility (Comparable)I wrote an indicator to measure volatility inside a range. It’s extremely useful for choosing a trading pair for grid strategies, because it lets you quickly, easily, and fairly identify which asset is the volatility leader. It measures volatility “fairly” relative to the asset’s trading range, not just by absolute price changes. For example: if an asset trades in a 50–100 range and over a week it moves many, many times between 52 and 98, then it’s highly volatile. But if another asset trades in a 50–1000 range and makes the same 52–98 moves, its volatility is actually low — because the “weight” of that movement relative to the full range is small. The indicator accounts for this “movement weight” relative to the range, then sums these weights into a single number. That number makes it easy to judge whether an asset is suitable for a grid strategy. That’s exactly what grids need: not just high volatility, but high volatility within a narrow range. Settings: the Window (bars) field defines how many bars are used to calculate volatility. On a 5-minute chart, one week is 2016 bars (2460/57). By default, the script calculates over 30 days on 5-minute charts. The script also allows you to set a second symbol for comparison, so you can see both results on the same chart. Написал индикатор для определения волатильности в диапазоне, очень-очень полезно для выбора торговой пары на гриде, позволяет легко и быстро и честно определить лидера по волатильности, при этом определяет ее "честно", относительно торгового диапазона, а не просто изменения цены. Например если актив торгуется в диапазоне 50-100 и за неделю много-много раз сходил 52-98, то это очень волатильный актив, и в то же время если актив торгуется в диапазоне 50-1000 и сходил так же 52-98, то это будет низко волатильный актив, т.е. учитывается "вес" движения относительно диапазона и данные "веса" суммируются в одну единую цифру по которой и можно оценивать насколько актив подходит под грид стратегию. А ведь именно это для гридов и нужно, не просто высокая волатильность, а именно высокая волатильность в узком диапазоне. Касательно настроек , в поле Windows (bars) задается количество баров по которым скрипт будет считать волатильность, на 5-ти минутки неделя это 2016 (24*60/5*7), стандартно скрипт считает за 30 дней на 5-ти минутки. + в самом скрипте можно указать вторую пару для сравнения чтоб на одном графике увидеть результат.
อินดิเคเตอร์ Pine Script®
โดย alextokarev125
S&R Detector by Rakesh Sharma📊 Support & Resistance Auto-Detector Automatically identifies key Support and Resistance levels with strength ratings ✨ Key Features: 🎯 Intelligent S/R Detection Automatically finds Support and Resistance levels based on swing highs/lows Shows strength rating (Very Strong, Strong, Medium, Weak) Displays number of touches at each level 📅 Key Time-Based Levels Previous Day High/Low (PDH/PDL) - Blue lines Previous Week High/Low (PWH/PWL) - Purple lines Optional Round Numbers for psychological levels ⚙️ Fully Customizable Adjust sensitivity (5-20 pivot length) Filter by minimum touches (1-10) Control maximum levels displayed (3-20) Optional S/R zones (shaded areas) 📊 Live Dashboard Shows nearest Support/Resistance Distance to key levels Total S/R levels detected 🔔 Smart Alerts PDH/PDL breakout signals Visual markers on chart Perfect for: Intraday traders, Swing traders, Price action analysis
อินดิเคเตอร์ Pine Script®
โดย rabin97
Smart WhaleOverview The Smart Whale Breakout System is a pure momentum strategy designed for Swing Traders who want to capture high-probability breakouts while managing risk with a mechanical trailing stop. Unlike indicators that try to guess "bottoms," this system follows the "Smart Money" approach: buying strength when institutional volume enters, and riding the trend until the momentum breaks. How it Works 1. The Entry (The Hunter) The system identifies a valid BREAKOUT signal only when four specific conditions align: Trend Filter: Price must be above the 150 SMA. We only trade with the long-term trend. Momentum: RSI > 50. Ensuring bulls are in control. Volume Spike (Whale Activity): Current volume must be significantly higher than the average (Default: 1.5x). This filters out weak retail moves. Price Action: A bullish candle closing higher than it opened. 2. The Exit (The Manager) Once in a trade, the system activates a dynamic Trailing Stop line. You never have to guess when to sell. You can choose between two exit logic modes in the settings: ATR Trailing (Default): Adapts to volatility. The stop moves up based on a multiple of the Average True Range (ATR). Great for volatile stocks (e.g., TSLA, NVDA). Percent Trailing: A fixed percentage drop from the highest high. (e.g., "Sell if price drops 10% from peak"). 3. The Context (Optional Filter) Squeeze Filter: Includes a built-in Bollinger/Keltner squeeze detection. If enabled in settings, the system will only signal a buy if the price recently broke out of a consolidation (squeeze). Default is OFF to catch all momentum moves. Key Features NO Repainting: Signals are confirmed at candle close. Visual Risk Management: A Red Trailing Stop line clearly shows where your invalidation point is. Fully Customizable: Adjust the Volume multiplier, ATR sensitivity, or Percentage drop to fit your asset class (Crypto/Stocks/Forex). Clean Visuals: Only colors the Breakout and Sell candles to keep your chart clean. Settings Guide Trend SMA Length: Define the long-term trend baseline (Default: 150). Volume Spike (xAvg): How much volume is needed to trigger a buy? (1.5 = 150% of average). Exit Method: Choose between "ATR Trailing" or "Percent Trailing". ATR Multiplier: Tighter stop (2.0) vs Looser stop (3.0). Require Squeeze?: Check this to filter for breakouts that only happen after a consolidation period. Disclaimer This tool is for educational purposes only. Always use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย yoni_ag
OPTIMISED FOR 15Min on certain FOREX Ichimoku & Friends Strategy Timeframe 15-Minute Chart Entry Rules Required Conditions ALL Must Be True For LONG Entries: Trend: Price is above EMA 200 (purple line) Ichimoku: Tenkan (blue) is above Kijun (red) Price Position: Close is above BOTH Tenkan AND Kijun ADX: Must be above 22 (shows strong trend) RSI: Between 50 and 70 (has momentum, not overbought) Cooldown: At least 12 bars since last trade closed For SHORT Entries: Trend: Price is below EMA 200 (purple line) Ichimoku: Tenkan (blue) is below Kijun (red) Price Position: Close is below BOTH Tenkan AND Kijun ADX: Must be above 22 (shows strong trend) RSI: Between 30 and 50 (has momentum, not oversold) Cooldown: At least 12 bars since last trade closed Entry Signals Any ONE of These Signal Type 1: Cross (C) Long: Tenkan crosses above Kijun AND price closes above Kijun Short: Tenkan crosses below Kijun AND price closes below Kijun Wait 1 bar to confirm the cross holds Signal Type 2: Bounce (B) - Most Reliable Long: Price touches/dips to Kijun, then bounces up with strong bullish candle Short: Price touches/spikes to Kijun, then rejects down with strong bearish candle Must occur within last 3 bars Signal Type 3: Breakout (K) Long: Price breaks above Kijun with strong bullish momentum candle Short: Price breaks below Kijun with strong bearish momentum candle Candle body must be at least 40% of ATR Risk Management Stop Loss Placement Placed at the lower of: Recent swing low (last 5 bars) for longs Kijun minus 0.5 ATR for longs Minimum distance: 2.5 x ATR FOR SHORTS: Mirror logic using swing highs Take Profit 2x the stop loss distance Example: If stop is 20 pips away, target is 40 pips Position Size 100% of equity per trade (as per current settings) Adjust based on your risk tolerance Trade Management When to Enter Only when ALL entry conditions are met Check that background is shaded (green for long, red for short) Small letter markers (C, B, K) show which signal type triggered When to Exit Take Profit hit (2x R:R ratio) Stop Loss hit (smart placement protects capital) Strategy closes position (conditions reverse) Cooldown Period Wait 12 bars (3 hours on 15m chart) after any trade closes Prevents revenge trading and overtrading Visual Indicators on Chart Lines Blue (Tenkan): 9-period conversion line Red (Kijun): 26-period base line Purple (EMA 200): Long-term trend line Orange (EMA 50): Not used in current rules Signals Large Green Triangle Up: LONG entry Large Red Triangle Down: SHORT entry Small Letters (C/B/K): Which signal type triggered Background Colors Light Green: Conditions favorable for LONG (ADX good, uptrend) Light Red: Conditions favorable for SHORT (ADX good, downtrend) No Color: Not safe to trade Top Right Display ADX Value: Green = above threshold, Red = below Win Rate: Shows current performance Quick Checklist Before Entry LONG Trade Checklist: Price above purple EMA 200 Blue line above red line Price above both blue AND red lines ADX number is green (above 22) RSI between 50-70 Background is light green At least 12 bars since last trade Signal marker appeared (triangle or letter) SHORT Trade Checklist: Price below purple EMA 200 Blue line below red line Price below both blue AND red lines ADX number is green (above 22) RSI between 30-50 Background is light red At least 12 bars since last trade Signal marker appeared (triangle or letter) Tips for Success Best Signal Type: Bounce (B) signals typically have highest win rate ADX is Critical: Do not trade when ADX is red - wait for trends Be Patient: 2-3 trades per day on 15m is normal and healthy Trust the System: Do not second-guess the signals Respect Cooldown: Waiting prevents emotional trading Monitor Win Rate: Keep above 50% for profitability with 2:1 R:R Adjustable Settings If you want to modify strategy performance: For Higher Win Rate Fewer Trades: Increase "Minimum ADX" to 25 Increase "Cooldown Bars" to 15 Turn OFF breakout signals For More Trades Slightly Lower Win Rate: Decrease "Minimum ADX" to 20 Decrease "Cooldown Bars" to 8 Keep all signal types enabled For Better Risk:Reward: Increase "Risk:Reward Ratio" to 2.5 or 3.0 This means bigger targets, letting winners run more What NOT to Do Do not trade without ADX confirmation (when number is red) Do not enter during cooldown period Do not trade when price is chopping around EMA 200 Do not override the stop loss - let it work Do not take signals when Tenkan and Kijun are flat/parallel Do not force trades - wait for all conditions Do not trade if you see no background shading Notes Current Performance: 67% win rate (2/3 trades) Timeframe: 15-minute (3 hours = 12 bars cooldown) Profit Factor Target: Above 1.5 is excellent Strategy works best during: European and US trading sessions when volatility is higher DYOR NFA
กลยุทธ์ Pine Script®
โดย hushedDiamond97573
Combined Signal + Auto Day Plan + Volume📘 TradingView Description — Combined Signal + Auto Day Plan + Volume Strategy Overview This strategy combines trend-following signals, daily context levels, and volume confirmation to generate high-probability intraday trading setups. It is designed to filter noise, identify trend direction early, and avoid trades during low-quality market conditions. 🔷 1. Combined Signal Logic The strategy merges multiple indicators to produce a single, cleaner signal: Long Signal Trend bias is bullish Momentum histogram (MACD/Custom) shows upward pressure Price crosses above the midline (WMA/EMA/etc.) Volume supports the move Short Signal Trend bias is bearish Momentum histogram shows downward pressure Price crosses below the midline Volume supports the move This reduces false breakouts and ensures signals appear only during strong directional moves. 🔶 2. Auto Day Plan Levels (D-1 → D) The script automatically reads previous day levels and displays them on today’s session: Previous Day High (PDH) Previous Day Low (PDL) Previous Day Close (PDC) Previous Day Mid / Range Zones Optional FIB levels or custom zones These levels act as intraday support/resistance, helping identify breakout, reversal, and retest opportunities. Behavior: D-1 levels are plotted from today’s open until today’s close. Levels do not overlap into the wrong day. Optional: extend lines to next day (D+1) for planning. 🔷 3. Volume Confirmation To improve entry accuracy, the script checks for strength in volume: Volume > X-period average Volume spike detection Relative Volume (RVOL) filter Optional low-volume avoidance A trade is taken only when the market shows real participation, reducing traps and sideways chop trades. 🔶 4. Entry & Exit Logic Entry Long Entry: Combined bull signal + volume confirmation Short Entry: Combined bear signal + volume confirmation Exit Long Exit → Histogram turns down (hist < hist ) Short Exit → Histogram turns up (hist > hist ) Optional: Auto SL at PDL/PDH Trailing based on midline Take profit using FIB or volatility levels 💠 5. Visuals The chart plots: Buy/Sell markers D-1 support/resistance lines Trend direction midline Volume confirmation label Combined signal status Colors and styles can be customized from the input panel. 🎯 6. Purpose of the Strategy This is a complete intraday automation tool combining: ✔ Trend ✔ Momentum ✔ Volume strength ✔ Key day levels The goal is to provide structured, mechanical, rule-based trading — reducing emotional decisions and improving consistency.
กลยุทธ์ Pine Script®
โดย PK-TELUGUTRADER
Liquidity Entry Triggers (4-Model System) | WarRoomXYZLiquidity Entry Triggers is an open-source, price-action-based analytical framework designed to highlight recurring institutional liquidity behaviors that appear across all liquid markets. The script focuses on how and where liquidity is taken, rather than attempting to predict direction using oscillators or lagging indicators. It is optimized for XAUUSD, FX pairs, indices, and crypto , particularly on 1m–15m timeframes where session behavior and liquidity reactions are most visible. This tool is not a buy/sell signal generator . It provides contextual entry zones based on structural liquidity logic, allowing traders to apply their own execution rules. Core Philosophy Markets move because of: •Trapped traders •Forced liquidations •Session-based liquidity cycles •Reactions at prior institutional participation zones This script visualizes four repeatable entry triggers that emerge from those mechanisms. 🔹 1. Failed Breakout / Trapped Trader Model When price breaks a clearly defined range high or low, breakout traders often enter expecting continuation. If price fails to hold outside the range and closes back inside, those traders become trapped. The script detects: •Breaks beyond recent highs/lows •Immediate rejection back into the range •Structural failure of momentum These conditions frequently lead to mean reversion or reversal moves as trapped traders exit and fuel movement in the opposite direction. Markers are plotted at the point of failure to highlight potential trap zones. 🔹 2. Liquidation Flush Detection Sharp impulsive candles with abnormally large wicks often represent liquidation cascades rather than healthy trend continuation. The script identifies liquidation behavior by measuring: •Wick-to-body imbalance •Sudden expansion followed by rejection •Temporary price inefficiencies These flushes commonly occur near: •Session highs/lows •Range extremes •Trend exhaustion points Such events often lead to rebalance moves , where price partially or fully fills the wick. 🔹 3. Orderblock Reaction Zones Orderblocks represent areas where heavy participation occurred before a strong displacement move. The script highlights: •Clean bullish and bearish orderblock structures •Zones formed during consolidation prior to expansion •Areas likely to be defended when revisited Orderblocks with minimal noise and clean departure are prioritized, as they often reflect institutional positioning rather than retail activity. These zones are intended as reaction areas , not automatic entry signals. 🔹 4. London Session Liquidity Sweep Model The London session frequently establishes the initial daily high or low. Later in the session or during New York, price often: •Sweeps internal liquidity around that level •Rejects after the sweep •Continues with the higher-timeframe bias The script monitors London session behavior and marks: •Liquidity runs above/below London highs and lows •Rejections back inside the prior structure This model is especially effective when combined with broader daily context. 🔹4. How the Components Work Together The framework is designed as a context stack , not a checklist of signals: Liquidity Event → Location → Timing → Trader Execution Each model reinforces the others: •Failed breakouts often occur after liquidity sweeps •Liquidation wicks frequently form near orderblocks •London sweeps often trigger failed momentum moves •Confluence increases probability, not certainty 🔹 Practical Usage Guide ✔ Identify context Determine whether price is approaching a range extreme, session level, or prior participation zone. ✔ Wait for a liquidity event Look for a sweep, failed breakout, or liquidation wick. ✔ Observe reaction Rejection, displacement, or reclaim behavior provides confirmation. ✔ Execute manually Stops are commonly placed beyond the liquidity extreme. Targets are typically internal liquidity, prior highs/lows, or imbalance zones. The indicator does not manage trades or enforce rules. Execution and risk management remain the trader’s responsibility. 🔹 5. Originality & Design Notes This script does not replicate or bundle existing indicators. It introduces: •A multi-model liquidity entry framework •Structural failed breakout detection •Wick-based liquidation imbalance logic •Session-aware liquidity sweep visualization •A unified, minimal, non-lagging design All concepts are based on observable market behavior and integrated into a single analytical tool. 🔹 6. Suitable Markets & Timeframes Works best on: •XAUUSD •Major FX pairs •Indices •Liquid crypto markets Recommended timeframes: •1m •5m •15m •30m 🔹7. Limitations & Notes •This is an analytical framework , not a trading system •All markings are confirmed at candle close (non-repainting) •No open interest or order flow data is used •Results depend on user interpretation and execution •Best used alongside session bias and higher-timeframe structure Disclaimer This script is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any instrument. Trading involves risk, and losses can exceed initial deposits. The author assumes no responsibility for trading decisions made using this tool. Users are strongly encouraged to test this script in demo or simulation environments and to apply proper risk management, position sizing, and personal discretion at all times. By using this script, you acknowledge and accept all associated risks.
อินดิเคเตอร์ Pine Script®
โดย WarroomXYZ
NeoChartLabs POCOne of our Favorite Indicators - the High Time Frame Point of Control with a Volume Profile. Shout out to p2pasta for the original script, we updated to v6. Currently included: Monthly, 3 months and 6 months. /* DEFINITION */ Point Of Control (= POC) is a price level at which the heaviest volumes were traded. Value Area High/Low (=VAH/VAL) is a range of prices where the majority of trading volume took place. Naturally, Value Area High being the top price level and Value Area Low being the lowest. POC always is between the two. /* HOW TO TRADE WITH THIS INDICATOR */ The basis for POC is determining bias on whichever timeframe you choose. 1. Identify a POC on the timeframe of your choosing. /* If you choose a "low" timeframe (monthly here) then make sure to look at the higher timeframes to see how it is playing against a higher timeframe POC. 2. When the price is moving away from the POC (either to the upside or downside) this will confirm or invalidate the trade. 3. You can now enter the trade on bias or wait for a retest of the same POC.
อินดิเคเตอร์ Pine Script®
โดย NeoChartLabs
Squeeze Momentum OscillatorTitle: Squeeze Momentum Oscillator Description: This indicator is a panel-based oscillator designed to visualize the relationship between market volatility and momentum. Based on the classic TTM Squeeze concept, it helps traders identify periods of consolidation ("The Squeeze") and the subsequent release of energy ("The Breakout"). Originality & Enhancements: Standard squeeze oscillators only show when a squeeze fires (turning from red to green). This enhanced version adds a specific Breakout Validation layer. It changes the center-line dot color to Fuchsia or Blue only if the squeeze release is confirmed by the slope of the 20-period Moving Average, filtering out weak or false fires. How It Works: 1. The Center Line (Volatility State): The dots along the zero line tell you the current volatility condition: 🔴 Red Dot: Squeeze ON. Bollinger Bands are inside Keltner Channels. Volatility is compressed. The market is charging up. 🟣 Fuchsia Dot: Bullish Breakout. The squeeze has fired upward, and the underlying trend (20 SMA slope) is positive. 🔵 Blue Dot: Bearish Breakout. The squeeze has fired downward, and the underlying trend (20 SMA slope) is negative. 🟢 Green Dot: Squeeze OFF. Normal volatility conditions. 2. The Histogram (Momentum): The bars indicate the strength and direction of the price movement using Linear Regression logic: Cyan/Green: Bullish momentum. (Darker = weakening). Red/Maroon: Bearish momentum. (Darker = weakening). Visual Guide: Setup: Wait for a series of Red Dots. Trigger: Look for the first Fuchsia (Bullish) or Blue (Bearish) dot accompanied by an expanding Histogram in the same direction. Settings: Feature Toggle: You can turn the "Breakout Colors" (Fuchsia/Blue) on or off if you prefer the classic look. Sensitivity: Fully customizable lengths and multipliers for Bollinger Bands and Keltner Channels. Credits: Based on the foundational TTM Squeeze oscillator logic. Linear regression momentum calculation adapted from standard open-source methods. Breakout validation logic added for enhanced reliability.
อินดิเคเตอร์ Pine Script®
โดย tonngnh3