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Custom RSI + Divergence + Bold Lines (v6, matched)📌 Custom RSI with Divergence & Dynamic Coloring This indicator enhances the classic Relative Strength Index (RSI) by combining dynamic visual feedback with automatic regular divergence detection. It is designed to help traders quickly identify overbought / oversold conditions and potential momentum shifts through clear and intuitive visualization. ⸻ 🔍 Key Features 1️⃣ Dynamic RSI Line Coloring • Overbought zone (RSI > Overbought level) → RSI line turns green • Oversold zone (RSI < Oversold level) → RSI line turns red • Neutral zone → RSI line remains white This allows instant recognition of the current RSI state. ⸻ 2️⃣ Overbought / Oversold Visual Highlighting • Clear overbought and oversold reference lines • Background shading when RSI enters these zones → improves signal visibility and reaction speed ⸻ 3️⃣ Automatic Regular Divergence Detection • Bullish Divergence • Price makes a lower low • RSI makes a higher low • Pivot lows are connected with a bold green line • Bearish Divergence • Price makes a higher high • RSI makes a lower high • Pivot highs are connected with a bold red line Pivot points are connected directly, making divergence structures easy to identify at a glance. ⸻ 4️⃣ Clear Signal Markers • Bullish divergence: ▲ (bottom of the RSI pane) • Bearish divergence: ▼ (top of the RSI pane) ⸻ ⚙️ Inputs • RSI Length • Overbought / Oversold Levels • Pivot Length (controls divergence sensitivity) ⸻ 💡 How to Use • Oversold + Bullish Divergence → Potential rebound setup • Overbought + Bearish Divergence → Potential pullback or reversal • Best used in combination with trend analysis, support/resistance, and volume ⸻ ⚠️ Notes • Divergence signals are probabilistic, not guaranteed. • In ranging markets, divergences may appear more frequently. • Always apply proper risk management. ⸻ 🎯 Best For • Traders who actively use RSI • Traders looking for clean and intuitive divergence visualization • Users who prefer minimal but informative indicators
Pine Script® Indikator
von Yesugei
MenthorQ Levels ConversionLevels Conversion helps traders accurately overlay price levels from spot/index ETFs and indices (like SPX, SPY, QQQ, NDX) onto futures charts (like ES, NQ, etc.). Because futures and spot/index prices don’t trade at the same price, your levels will be misaligned if you plot them directly. Futures typically trade at a spread or ratio versus their related index/ETF. This indicator solves that by calculating the conversion ratio automatically, so your levels stay aligned on the futures chart. How it works This script calculates the ratio between Asset A and Asset B and applies it to convert levels from one instrument to the other (for example, SPX → ES, QQQ → NQ). Ratio options (3 modes) You can choose one of three ratio sources: ✅ T1 Ratio (Morning Snapshot) Select a specific time to “lock” the ratio. Default: 10:00 AM ET (morning session snapshot) ✅ T2 Ratio (Afternoon Snapshot) Select a second time to “lock” the ratio. Default: 3:30 PM ET (afternoon snapshot) ✅ Last Price Ratio (Live) Uses the last traded price of both assets to compute the ratio. Note: To refresh the “Last Price” baseline, simply remove and re-add the indicator. Learn more about Levels Conversions: menthorq.com Common levels conversions Some popular use-cases include: - SPX Gamma Levels → ES - SPY Gamma Levels → ES - QQQ Gamma Levels → NQ - NDX Gamma Levels → NQ - SPX Intraday Gamma Levels → ES - QQQ Intraday Gamma Levels → NQ - SPX Swing Trading Levels → ES - QQQ Swing Trading Levels → NQ - GLD Levels → GC - DIA Levels → YM - USO Levels → CL - NVDA / MAG7 Levels → QQQ
Pine Script® Indikator
von Menthor_Q_Research
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.
Pine Script® Indikator
von WarroomXYZ
PatternTransitionTablesPatternTransitionTables Library 🌸 Part of GoemonYae Trading System (GYTS) 🌸 🌸 --------- 1. INTRODUCTION --------- 🌸 💮 Overview This library provides precomputed state transition tables to enable ultra-efficient, O(1) computation of Ordinal Patterns. It is designed specifically to support high-performance indicators calculating Permutation Entropy and related complexity measures. 💮 The Problem & Solution Calculating Permutation Entropy, as introduced by Bandt and Pompe (2002), typically requires computing ordinal patterns within a sliding window at every time step. The standard successive-pattern method (Equations 2+3 in the paper) requires ≤ 4d-1 operations per update. Unakafova and Keller (2013) demonstrated that successive ordinal patterns "overlap" significantly. By knowing the current pattern index and the relative rank (position l) of just the single new data point, the next pattern index can be determined via a precomputed look-up table. Computing l still requires d comparisons, but the table lookup itself is O(1), eliminating the need for d multiplications and d additions. This reduces total operations from ≤ 4d-1 to ≤ 2d per update (Table 4). This library contains these precomputed tables for orders d = 2 through d = 5. 🌸 --------- 2. THEORETICAL BACKGROUND --------- 🌸 💮 Permutation Entropy Bandt, C., & Pompe, B. (2002). Permutation entropy: A natural complexity measure for time series. doi.org This concept quantifies the complexity of a system by comparing the order of neighbouring values rather than their magnitudes. It is robust against noise and non-linear distortions, making it ideal for financial time series analysis. 💮 Efficient Computation Unakafova, V. A., & Keller, K. (2013). Efficiently Measuring Complexity on the Basis of Real-World Data. doi.org This library implements the transition function φ_d(n, l) described in Equation 5 of the paper. It maps a current pattern index (n) and the position of the new value (l) to the successor pattern, reducing the complexity of updates to constant time O(1). 🌸 --------- 3. LIBRARY FUNCTIONALITY --------- 🌸 💮 Data Structure The library stores transition matrices as flattened 1D integer arrays. These tables are mathematically rigorous representations of the factorial number system used to enumerate permutations. 💮 Core Function: get_successor() This is the primary interface for the library for direct pattern updates. • Input: The current pattern index and the rank position of the incoming price data. • Process: Routes the request to the specific transition table for the chosen order (d=2 to d=5). • Output: The integer index of the next ordinal pattern. 💮 Table Access: get_table() This function returns the entire flattened transition table for a specified dimension. This enables local caching of the table (e.g. in an indicator's init() method), avoiding the overhead of repeated library calls during the calculation loop. 💮 Supported Orders & Terminology The parameter d is the order of ordinal patterns (following Bandt & Pompe 2002). Each pattern of order d contains (d+1) data points, yielding (d+1)! unique patterns: • d=2: 3 points → 6 unique patterns, 3 successor positions • d=3: 4 points → 24 unique patterns, 4 successor positions • d=4: 5 points → 120 unique patterns, 5 successor positions • d=5: 6 points → 720 unique patterns, 6 successor positions Note: d=6 is not implemented. The resulting code size (approx. 191k tokens) exceeds the Pine Script limit of 100k tokens (as of 2025-12).
Pine Script® Bibliothek
von GoemonYae
Critical Advanced Multi-Divergence Dashboard Complete Dashboard Interpretation Guide Dashboard Metrics Explained 1. Timeframe What it shows: Current chart timeframe (15m, 1H, 4H, 1D, etc.) How to interpret: The script auto-detects your chart timeframe Higher timeframes (4H, 1D) = more reliable signals but fewer trades Lower timeframes (5m, 15m) = more signals but higher noise Best practice: Use multiple timeframes - get signal on 1H, confirm on 15m for entry 2. Signal Bias: BULLISH / BEARISH / NEUTRAL What it shows: Overall market direction based on divergence consensus Color coding: 🟢 BULLISH (Green) = Net strength > +10 → Expect upward move 🔴 BEARISH (Red) = Net strength < -10 → Expect downward move ⚪ NEUTRAL (Gray) = Net strength between -10 to +10 → No clear direction How to interpret: BULLISH: Multiple bullish divergences detected → Look for LONG entries BEARISH: Multiple bearish divergences detected → Look for SHORT entries NEUTRAL: Conflicting signals or weak divergences → WAIT, don't trade Trading Action: BULLISH + Strength > 60 = Strong BUY signal
 BEARISH + Strength > 60 = Strong SELL signal 
NEUTRAL = Stay out, wait for clarity
 3. Signal Strength: 0-100 What it shows: Quantified power of the divergence signal Strength Scale: 🔴 0-30 (Red): Weak signal → Don't trade 🟠 31-60 (Orange): Moderate signal → Trade with caution, reduce position size 🟢 61-100 (Green): Strong signal → High confidence trade Calculation factors: Number of divergences detected Volume confirmation (1.3x multiplier if high volume) Trend filter (ADX reduces counter-trend signals by 40%) Weighted scoring (volume-based indicators get 1.5x weight) How to use: Strength > 70 + ADX < 20 = Best reversal trades
 Strength > 60 + Volume HIGH = Excellent entry
 Strength < 40 = Skip the trade
 Example Scenarios: Strength = 85 → Take full position size Strength = 55 → Take 50% position, tight stop loss Strength = 25 → No trade, wait for better setup 4. Quality Score: 0-100 What it shows: Overall reliability and confidence rating Components (max 100 points): Divergence count (40 points): More indicators confirming = higher quality Volume confirmation (20 points): High volume adds 20, normal adds 10 Trend alignment (20 points): Signal aligning with trend = 20, against trend but weak ADX = 15 Detection timing (20 points): Confirmed signals = 20, early detection = 15 Quality Tiers: 80-100: Excellent - High probability setup 60-79: Good - Tradeable with proper risk management 40-59: Fair - Only for experienced traders Below 40: Poor - Avoid trading How to use: Quality > 75 + Strength > 60 = Grade A setup
 Quality > 60 + Strength > 50 = Grade B setup (reduce size)
 Quality < 50 = Don't trade regardless of strength
 5. Bullish Divs: 3R/2H (Example) What it shows: Count of bullish divergences detected R = Regular divergences (price LL, indicator HL) H = Hidden divergences (price HL, indicator LL) Interpretation: Regular divergences = Reversal signals (more important) Hidden divergences = Continuation signals (trend confirmation) Examples: 4R/1H → Strong bullish reversal expected 1R/3H → Bullish trend continuation likely 5R/0H → Very strong reversal setup Trading Logic: High R count = Look for trend reversal
High H count = Trend is strong, look for pullback entries
R+H both high = Very strong signal, major move expected
 6. Bearish Divs: 2R/1H (Example) Same logic as Bullish Divs but for downside: 2R/1H → Moderate bearish reversal setup 0R/4H → Strong downtrend continuation 4R/3H → Extremely strong bearish signal 7. ADX (Trend): 35 What it shows: Average Directional Index - measures trend strength ADX Scale: 0-20: Weak or no trend → Range-bound market 20-25: Emerging trend → Early trend formation 25-50: Strong trend → Trend is established 50-75: Very strong trend → Major directional move 75+: Extremely strong trend → Parabolic move, be cautious Color Coding: 🟠 Orange (ADX > threshold): Strong trending market ⚪ Gray (ADX < threshold): Weak trend/ranging How to interpret: ADX < 20 + BULLISH Signal = Best for reversal trades (range breakout)
 ADX > 25 + BEARISH Signal = Counter-trend, risky (signal strength reduced 40%)
 ADX > 40 + Signal against trend = Dangerous, skip
 ADX < 20 + High Strength = Perfect reversal setup
 Trading Examples: ADX = 15, BULLISH strength 75 → Perfect buy at bottom ADX = 45, BEARISH strength 60 → Caution: Market in strong uptrend, bearish signal gets discounted ADX = 50, BULLISH strength 80 → Trend continuation: Pullback in uptrend, good long entry 8. Volume: HIGH / Normal What it shows: Current volume vs 20-period moving average Volume Status: 🟡 HIGH (Yellow): Volume > 1.5x average → Signal multiplied by 1.3x ⚪ Normal (Gray): Volume ≤ 1.5x average → Signal multiplied by 0.8x Why it matters: High volume = More participation = More reliable signal Normal/low volume = Weak conviction = Less reliable Trading Rules: HIGH volume + Strong signal = Take trade immediately
Normal volume + Strong signal = Wait for volume confirmation
HIGH volume + Weak signal = Still tradable (volume validates)
Normal volume + Weak signal = Definitely skip
 Example: Strength 50 + HIGH volume → Effective strength = 65 (tradable) Strength 50 + Normal volume → Effective strength = 40 (skip) 9. Volatility: 2.35% What it shows: ATR (Average True Range) as percentage of price Volatility Scale: < 1%: Very low volatility → Tight ranges, breakout coming 1-2%: Normal volatility → Standard market conditions 2-3%: Elevated volatility → Bigger moves expected > 3%: High volatility → Large swings, wider stops needed How to use: Low volatility (< 1%) = Tighten stops, smaller targets
Normal (1-2%) = Standard position sizing
High (> 3%) = Reduce position size, wider stops
 Impact on trading: High volatility → Script auto-adjusts pivot periods (better divergence detection) Stop loss placement: Use ATR × 2 for stop distance Position sizing: Reduce size in high volatility 10. Detection: EARLY / Confirmed What it shows: Whether signal detected before or after pivot confirmation Detection Modes: 🟡 EARLY (Yellow): Signal detected before pivot confirms → Earlier entry but slightly less reliable 🟢 Confirmed (Green): Signal after pivot confirmation → More reliable but later entry Trade-off: EARLY mode:
+ Enter 2-5 bars earlier
+ Better risk/reward ratio
- 10-15% more false signals

Confirmed mode:
+ Higher reliability
+ Better for conservative traders
- May miss 10-20% of move
 How to use: Aggressive traders: Use EARLY mode + higher quality threshold (>70) Conservative traders: Use Confirmed mode + moderate quality (>60) 🎯 Complete Trading Decision Matrix STRONG BUY Signal ✅ Signal Bias: BULLISH
Signal Strength: > 70
Quality Score: > 75
Bullish Divs: ≥ 3 (preferably high R count)
ADX: < 25 (weak trend/reversal) OR > 30 with DI+ > DI-
Volume: HIGH
 Action: Enter LONG with full position
 STRONG SELL Signal ✅ Signal Bias: BEARISH 
Signal Strength: > 70
Quality Score: > 75
Bearish Divs: ≥ 3 (preferably high R count)
ADX: < 25 (weak trend/reversal) OR > 30 with DI- > DI+
Volume: HIGH 
Action: Enter SHORT with full position
 Moderate Trade ⚠️ Signal Strength: 50-70
Quality Score: 60-75
Volume: Normal
 Action: Enter with 50% position size, tight stop loss
 NO TRADE ❌ Signal Bias: NEUTRAL
Signal Strength: < 50
Quality Score: < 60
ADX: > 40 (signal against strong trend)
Volume: Normal + Strength < 50
Action: Stay out, wait for better setup
 📊 Real Trading Examples Example 1: Perfect Bullish Setup Timeframe: 1H
Signal Bias: BULLISH 🟢
Signal Strength: 82/100 🟢
Quality Score: 88/100
Bullish Divs: 5R/2H (excellent)
Bearish Divs: 0R/0H
ADX: 18 (weak trend, perfect for reversal)
Volume: HIGH 🟡
Volatility: 1.8%
Detection: EARLY 🟡

INTERPRETATION: Grade A+ setup
- Strong bullish consensus (5 regular divergences)
- Low ADX = perfect reversal condition
- High volume confirms the signal
- Quality 88 = highly reliable

ACTION: 
✅ Enter LONG immediately with full position
✅ Stop loss: 2 × ATR below entry (3.6%)
✅ Target: Previous swing high or 2:1 R/R
 Example 2: Risky Counter-Trend Signal Timeframe: 15m
Signal Bias: BEARISH 🔴
Signal Strength: 55/100 🟠
Quality Score: 62/100
Bearish Divs: 2R/1H
ADX: 45 (very strong uptrend)
Volume: Normal
Detection: EARLY

INTERPRETATION: Dangerous setup
- ADX 45 = strong uptrend in place
- Bearish signal is counter-trend
- Script already reduced strength by 40%
- Moderate quality, normal volume

ACTION:
❌ SKIP this trade
⏸️ Wait for ADX to drop below 25
⏸️ Or wait for bearish strength > 70 with HIGH volume
 Example 3: Wait and Watch Signal Bias: NEUTRAL ⚪
Signal Strength: 35/100 🔴
Quality Score: 48/100
Bullish Divs: 1R/1H
Bearish Divs: 1R/0H
ADX: 22
Volume: Normal

INTERPRETATION: Conflicting signals
- Both bullish and bearish divergences present
- Low strength and quality
- No clear direction

ACTION:
⏸️ Don't trade - wait for clarity
👀 Watch for one side to dominate
📊 Check higher timeframe for context
 🎓 Pro Tips for Dashboard Reading Check Multiple Timeframes: Signal on 4H + confirmation on 1H = Best trades Higher TF gives direction, lower TF gives entry Volume is King: Never ignore HIGH volume signals (even if strength is moderate) Be extra cautious with normal volume + weak signals ADX Context Matters: ADX < 20 + Divergence = Reversal opportunity ADX > 40 + Counter-trend divergence = Dangerous Quality Over Strength: Quality 80 + Strength 60 > Quality 50 + Strength 80 High quality ensures the signal is real, not noise Regular vs Hidden Divergences: High R count = Reversal expected (more important) High H count = Continuation (use for re-entries) Early Detection Trade-off: Use EARLY for swing trading (better R/R) Use Confirmed for day trading (higher accuracy) ⚡ Quick Decision Flowchart Step 1: Check Signal Bias
├─ NEUTRAL? → ❌ Don't trade
└─ BULLISH/BEARISH? → Continue

Step 2: Check Signal Strength
├─ < 50? → ❌ Don't trade
├─ 50-60? → Reduce position 50%
└─ > 60? → Continue

Step 3: Check Quality Score
├─ < 60? → ❌ Don't trade
└─ ≥ 60? → Continue

Step 4: Check ADX
├─ > 40 AND counter-trend? → ❌ Don't trade
└─ < 40 OR with-trend? → Continue

Step 5: Check Volume
├─ HIGH → ✅ Take trade (boost confidence)
└─ Normal → Check if strength > 60, then ✅ trade

Step 6: Position Sizing
├─ Strength > 70 + Quality > 75 → 100% position
├─ Strength 60-70 + Quality 60-75 → 75% position
└─ Strength 50-60 + Quality 60-70 → 50% position
 This dashboard gives you a complete edge in divergence trading by quantifying what was previously subjective! 🚀 Only for Educational purpose
Pine Script® Indikator
von drshantanusamanta
Scout Regiment - Signal📊 中文版 指标简介 Buy/Sell Signal 多维度交易信号指标 这是一个结合了EMA趋势过滤、CCI动量指标和RSI背景环境的多维度交易信号系统。通过三重过滤机制，帮助交易者在合适的市场环境中捕捉高质量的买卖信号。 核心特点 ✅ 趋势过滤：使用233周期EMA确保顺势交易 ✅ 动量确认：CCI(33)穿越信号作为入场触发 ✅ 背景过滤：RSI(13)环境判断，避免同一背景重复信号 ✅ 智能去重：每个RSI背景周期内只标记首次信号 ✅ 清晰标识：三角形标记配合颜色区分买卖方向 使用说明 信号逻辑： 做多信号 (Buy)： 收盘价 > EMA233（确认上升趋势） CCI33向上穿越20（动量转强） 情况1：在RSI红色背景中首次出现 情况2：在RSI绿色背景中出现 做空信号 (Sell)： 收盘价 < EMA233（确认下降趋势） CCI33向下穿越80（动量转弱） 情况1：在RSI绿色背景中首次出现 情况2：在RSI红色背景中出现 参数设置 EMA过滤长度：默认233，用于判断主趋势方向 CCI长度：默认33，控制动量指标灵敏度 RSI长度：默认13，用于背景环境判断 重要提示 ⚠️ 信号出现后不要立即下单！请务必检查： CCI中期是否出现"浪子回头"形态 OBV成交量状态是否配合 RSI是否成功穿越50中线 结合其他技术分析工具综合判断 💡 建议配合使用： 支撑阻力位分析 成交量指标（如OBV） 更大周期的趋势确认 📈 English Version Indicator Overview Buy/Sell Signal - Multi-Dimensional Trading Signal System This is a comprehensive trading signal system that combines EMA trend filtering, CCI momentum indicator, and RSI background environment. Through a triple-layer filtering mechanism, it helps traders capture high-quality buy and sell signals in appropriate market conditions. Key Features ✅ Trend Filter: 233-period EMA ensures trend-following trades ✅ Momentum Confirmation: CCI(33) crossover signals as entry triggers ✅ Background Filter: RSI(13) environment detection to avoid duplicate signals ✅ Smart Deduplication: Only first signal per RSI background cycle ✅ Clear Visualization: Triangle markers with color-coded direction How to Use Signal Logic: Buy Signal: Close > EMA233 (confirms uptrend) CCI33 crosses above 20 (momentum strengthens) Case 1: First occurrence in RSI red background Case 2: Occurs in RSI green background Sell Signal: Close < EMA233 (confirms downtrend) CCI33 crosses below 80 (momentum weakens) Case 1: First occurrence in RSI green background Case 2: Occurs in RSI red background Parameter Settings EMA Filter Length: Default 233, for main trend direction CCI Length: Default 33, controls momentum sensitivity RSI Length: Default 13, for background environment detection Important Notes ⚠️ DO NOT enter trades immediately after signal appears! Always check: Whether CCI shows a "reversal" pattern in medium-term OBV volume status confirmation Whether RSI successfully crosses the 50 midline Combine with other technical analysis tools 💡 Recommended to Use With: Support/Resistance analysis Volume indicators (such as OBV) Higher timeframe trend confirmation Risk Disclaimer This indicator is for reference only and does not constitute investment advice. Trading involves risk. Please conduct thorough analysis and use proper risk management before making any trading decisions. 适合交易者类型 / Suitable For: 波段交易者 / Swing Traders 日内交易者 / Day Traders 趋势跟踪者 / Trend Followers 适用市场 / Applicable Markets: 股票 / Stocks 外汇 / Forex 加密货币 / Crypto 期货 / Futures
Pine Script® Indikator
von lwmxmpyp
Alertes Trading Manuel//@version=6 indicator("Signal simple +0.5% LONG", overlay = true) // --- Paramètres --- tpPctInput = input.float(0.5, "TP (%)", step = 0.1) // objectif pour toi : 0.5% slPctInput = input.float(0.3, "SL (%)", step = 0.1) // SL indicatif : 0.3% tpPct = tpPctInput / 100.0 slPct = slPctInput / 100.0 emaLenFast = input.int(50, "EMA rapide (intraday)", minval = 1) emaLenSlow = input.int(200, "EMA lente (intraday)", minval = 1) volLen = input.int(20, "Période moyenne Volume", minval = 1) // --- Tendance daily : MA200 jours --- ma200D = request.security(syminfo.tickerid, "D", ta.sma(close, 200)) above200D = close > ma200D // --- Tendance intraday --- emaFast = ta.ema(close, emaLenFast) emaSlow = ta.ema(close, emaLenSlow) upTrendIntraday = close > emaFast and emaFast > emaSlow // --- MACD & RSI --- = ta.macd(close, 12, 26, 9) rsi = ta.rsi(close, 14) macdOK = macdLine > macdSignal rsiOK = rsi > 49 and rsi < 75 // --- Volume --- volMa = ta.sma(volume, volLen) volOK = volume > volume and volume > volMa // --- Signal LONG simple --- longSignal = above200D and upTrendIntraday and macdOK and rsiOK and volOK // --- Affichage du signal --- plotshape( longSignal, title = "Signal LONG", location = location.belowbar, style = shape.triangleup, color = color.lime, size = size.small, text = "LONG" ) // --- Lignes TP / SL indicatives basées sur le dernier signal --- var float tpLine = na var float slLine = na if longSignal tpLine := close * (1 + tpPct) slLine := close * (1 - slPct) // Les lignes restent jusqu'au prochain signal plot(tpLine, "TP indicatif", color = color.new(color.green, 50), style = plot.style_linebr) plot(slLine, "SL indicatif", color = color.new(color.red, 50), style = plot.style_linebr) // --- Affichage des moyennes --- plot(emaFast, "EMA rapide", color = color.new(color.blue, 40)) plot(emaSlow, "EMA lente", color = color.new(color.orange, 40)) plot(ma200D, "MA200 jours (daily)", color = color.new(color.fuchsia, 0), linewidth = 2)
Pine Script® Indikator
von jeremyzaghdoun
SnR Key Level Detector by RWBTradeLabSnR Key Level Detector by RWBTradeLab A clean, non-repainting key level detector built for price action traders who want clear, fixed Support/Resistance reference levels with breakout upgrades and alerts. What this indicator does This script automatically detects and draws 6 types of SnR key levels using CLOSED candles only (no running-candle logic): 1. Base Key Levels (from 2-candle sequences) * A Level: Green → Red (Level = 1st Green candle Close) * V Level: Red → Green (Level = 1st Red candle Close) * Bullish Gap Level: Green → Green (Level = 1st Green candle Close) * Bearish Gap Level: Red → Red (Level = 1st Red candle Close) 2. Breakout Upgrade Levels * RBS (Resistance → Support): When a Green candle CLOSE breaks above an A Level or Bearish Gap Level * SBR (Support → Resistance): When a Red candle CLOSE breaks below a V Level or Bullish Gap Level Visuals on chart * Each detected level is drawn as a horizontal Ray extended to the right. * Optional text labels are placed above/below the level based on the level type. * Adjustable “Label Offset (ticks)” to keep labels cleaner on the chart. Alerts (bar-close only) Built-in alerts trigger only when a candle is CONFIRMED: * A Level * V Level * Bullish Gap * Bearish Gap * SBR * RBS Each alert includes price and time in the message. Key settings * Candle Length (closed candles): Scans last N closed candles (running candle excluded). * On/Off toggles: Enable/disable each level type and text labels individually. * Label Offset (ticks): Controls the label distance from the level line. Non-repainting confirmation All levels and alerts are calculated on confirmed bars only. No repainting, no running-bar signals. Best use Works on any market and timeframe. For higher reliability, combine with: * Higher timeframe structure * Supply & Demand zones * Trend context and liquidity sweeps Disclaimer: This indicator is a level-detection tool, not financial advice. Trading involves risk; always use proper risk management and confirm levels with your own analysis. Creator: RWBTradeLab If you find this useful, please leave a like ⭐ and share your feedback.
Pine Script® Indikator
von RWBTradeLab
online Moment-Based Adaptive Detection🙏🏻 oMBAD (online Moment-Based Adaptive Detection): adaptive anomaly || outlier || novelty detection, higher-order standardized moments; at O(1) time complexity For TradingView users: this entity would truly unleash its true potential for you ‘only’ if you work with tick-based & seconds-based resolutions, otherwise I recommend to keep using original non-online MBAD . Otherwise it may only help with a much faster backtesting & strategy development processes. ... Main features : O(1) time complexity: the whole method works @ O(1) time complexity, it’s lighting fast and cheap HFT-ready: frequency, amount and magnitude of data points are irrelevant Axiomatic: no need to optimize or to provide arbitrary hyperparameters, adaptive thresholds are completely data-driven and based on combination of higher-order central moments Accepts weights: the method can gain additional information by accepting weights (e.g. volume weighting) Example use cases for high-frequency trading: Ordeflow analysis: can be applied on non-aggregated flow of market orders to gauge its imbalance and momentum Liquidity provision: can be applied to high-resolution || tick data to place and dynamically adjust prices of limit orders ML-based signals: online estimates of higher-order central moments can be used as features & in further feature engineering for trading signal generation Operation & control: can be applied on PnL stream of your strategy for immediate returns analysis and equity control Abstract: This method is the online version of originally O(n) MBAD (Moment-Based Adaptive Detection) . It uses higher-order central & standardized moments to naturally estimate data’s extremums using all data while not touching order-statistics (i.e. current min and max) at all. By the same principles it also estimates “ever-possible” values given the data-generating process stays the same. This online version achieves reduced time complexity to O(1) by using weighted exponential smoothing, and in particular is based on Pebay et al (2008) work, which provides mathematically correct results for the moments, and is numerically stable, unlike the raw sum-based estimates of moments. Additionally, I provide adjustments for non-continuous lattice geometry of orderbooks, and correct re-quantization math, allowing to artificially increase the native tick size. The guidelines of how to adjust alpha (smoothing parameter of exponential smoothing) in order to completely match certain types of moving averages, or to minimize errors with ones when it’s impossible to match; are also provided. Mathematical correctness of the realization was verified experimentally by observing the exact match with the original non-recursive MBAD in expanding window mode, and confirmed by 2 AI agents independently. Both weighted and non-weighted versions were tested successfully. ... ^^ On micro level with moving window size 1 ^^ With artificial tick size increase, moving window size 64 ^^ Expanding window mode anchored to session start ^^ Demonstrates numerical stability even on very large inputs ... ∞
Pine Script® Indikator
von gorx1
3