始めましょう

System

Mystic's ATR% Multiple MatrixMystic's ATR% Multiple Matrix is a multi-timeframe EMA distance dashboard built to show how stretched price is relative to key daily moving averages in both percentage terms and ATR-adjusted terms. The script plots five customizable EMAs, defaulted to the 10D, 20D, 50D, 100D, and 200D. Each EMA can be independently adjusted by length and timeframe, allowing the tool to be used on intraday, daily, or higher-timeframe charts while still referencing the trend timeframe you care about. The table is the core of the indicator. It displays each EMA, its length, timeframe, percentage distance from current price, and ATR multiple. The ATR multiple measures how far price is from each EMA in units of Average True Range, which gives better context than percentage distance alone. A stock that is 5% above its 20D EMA may be meaningfully extended if its ATR is low, but much less extended if its normal daily range is large. This script is designed to make that distinction clear. Table columns: EMA — the selected moving average row Length — the EMA period TF — the timeframe used for that EMA % Away — current price distance from the EMA in percentage terms ATR Ext — current price distance from the EMA measured in ATR multiples Positive readings mean price is trading above the EMA. Negative readings mean price is trading below the EMA. The color scheme is optimized for dark charts. Green indicates price above the moving average, red indicates price below it, orange highlights elevated ATR extension, and deeper red highlights more extreme extension. Optional ATR extension lines can be enabled in the settings. These plot upper and lower ATR-based extension levels around each EMA using the selected ATR multiplier. This is not a buy or sell signal generator. It is a volatility-adjusted trend-distance framework designed to help traders judge whether price is near trend, extended from trend, or potentially overheated. Suggested use cases: - Measuring extension from the 10D, 20D, 50D, 100D, and 200D EMAs - Comparing raw percentage distance versus ATR-adjusted distance - Identifying when a stock is stretched far above or below trend - Adding context before chasing breakouts - Monitoring pullbacks into key moving averages - Understanding whether a move is normal relative to volatility or unusually extended All settings are adjustable, including EMA lengths, EMA timeframes, ATR length, ATR timeframe, table display, and optional ATR extension lines.
Pine Script® インジケーター
MysticMadsの投稿
Gaussian Channel System [GCS]## DESCRIPTION Gaussian Ribbon Engine (GRE) is a multi-layer trend analysis system built on the Arnaud Legoux Moving Average (ALMA), which applies a Gaussian (bell curve) weighting function to price data instead of the linear or exponential weights used by traditional moving averages. **Mathematical Foundation** ALMA uses a Gaussian kernel — the same bell-curve distribution found in statistics and physics — to weight the prices in its lookback window. The Gaussian function is parameterized by two values: offset (which shifts the bell curve left or right, controlling responsiveness vs. smoothness) and sigma (which controls the width of the bell curve, determining how sharply weights decay from the center). The formula applies: w(i) = exp(-((i - offset * (N-1))^2) / (2 * sigma^2 * N^2)), where each price bar receives a weight according to its position on the Gaussian curve. This produces a moving average with mathematically optimal noise filtering properties. GRE constructs five ALMA layers with increasing periods (default 9, 21, 55, 100, 200), creating a visual ribbon. When all five layers align in order (fastest on top for bullish, fastest on bottom for bearish), the market is in full directional agreement. The spread between the outermost layers, measured as a percentage and compared to its own historical average, identifies squeeze (convergence) and expansion (divergence) conditions. **9-Point Confluence Scoring** The scoring matrix evaluates: price vs. Layer 1, Layer 1 vs. 2, Layer 2 vs. 3, Layer 3 vs. 4, Layer 4 vs. 5 alignment, Layer 1 slope direction, Layer 3 slope direction, RSI above/below 50, and DI+/DI- directional movement. Signals fire when the score crosses the configurable threshold with ADX confirmation. **Features** - Five-layer ALMA ribbon with Gaussian kernel weighting - Adjustable offset (0-1) and sigma parameters for fine-tuning the Gaussian bell shape - Ribbon spread analysis with squeeze and expansion detection - 9-point confluence scoring with visual dot notation in dashboard - ATR-based dual take-profit levels (TP1 and TP2) - Squeeze breakout signals when ribbon compresses then expands - ADX and volume confirmation filters - Full color-coded dashboard with regime classification - Multiple alert conditions ---
Pine Script® インジケーター
Jamtrader2020の投稿
AlphaEngine █ ALPHAENGINE v1.0 The Adaptive Consensus Trading Algorithm Self-optimizing signal engine that runs 6 independent "Expert" sub-systems simultaneously, tracks their real-time accuracy, and dynamically adjusts their influence using an Adaptive Consensus algorithm inspired by the Multiplicative Weight Update method. The result: an indicator that learns which strategies work best in the current market — and automatically amplifies them while suppressing underperformers. All in real-time, on every single bar. Free and Open Source. █ THE 6 EXPERTS 1. Trend Expert Triple EMA alignment (Fast/Mid/Slow) combined with ADX trend strength. Detects directional bias and amplifies signals when the trend is strong. 2. Momentum Expert Blends RSI zone analysis (40%), Stochastic crossover (30%), and Rate-of-Change velocity (30%) into a single momentum score. Catches acceleration and deceleration in price moves. 3. Volume Expert On-Balance Volume trend direction combined with real-time volume spike detection. Confirms signals with institutional participation. Volume must agree with price direction for full score. 4. Volatility Expert Bollinger Band position mapping combined with ATR expansion/contraction analysis. Includes Squeeze Detection that alerts before major breakout moves. 5. Supertrend Expert ATR-based dynamic support/resistance with distance scaling. Stronger signals when price is firmly above/below the supertrend line. 6. Structure Expert Higher-timeframe EMA bias using auto-selected HTF (e.g., 1H chart checks 4H, 5m chart checks 1H). Ensures signals align with the macro trend. █ THE ADAPTIVE WEIGHTING ENGINE Unlike traditional indicators that treat all components equally, AlphaEngine tracks which experts are actually performing well in the current market conditions: Each expert's predictions are validated against real price movement A rolling accuracy score (exponential decay) measures recent performance Weights are computed as accuracy squared — creating clear differentiation Experts with high accuracy get amplified, poor performers get dampened The engine adapts to any market environment automatically In a strong trending market, the Trend and Supertrend experts naturally gain weight. In a ranging/choppy market, Momentum and Volume experts take over. The engine adapts automatically. █ SIGNAL GRADING: A/B/C A-Grade (75%+ consensus) — High quality. Strong agreement among key experts. B-Grade (60%+ consensus) — Standard. Moderate agreement. Use with additional confirmation. C-Grade (50%+ consensus) — Weak. Minimal consensus. For analysis only. Filterable via settings. Signal labels are visual: A-grade signals are larger and prominent. B/C are smaller and subtle. A minimum grade filter lets you hide weaker signals. █ RISK MANAGEMENT Take Profit + Stop Loss: TP1 — ATR-based take profit target with visual line and hit detection SL — Dynamic ATR-based stop loss, adapts to current volatility Visual checkmark when TP1 is reached, X marker when SL triggers. Both levels are always proportional to market conditions — never fixed distances. █ VISUAL FEATURES Smart Candle Coloring — 6-level gradient from deep green to deep red based on consensus strength Trend Background — Subtle gradient overlay showing macro direction Volatility Bands — Dynamic Bollinger-based bands with squeeze highlight Squeeze Detection — Diamond dots below price when volatility contracts Supertrend Line — Color-coded dynamic support/resistance EMA Lines — Optional Fast/Mid/Slow EMA visualization █ DASHBOARD Compact 10-row real-time analytics panel: Current signal + grade + consensus %, visual consensus bar, each expert's direction + rolling accuracy %, and volatility state (Squeeze/Expand/Contract/Normal). █ ALERTS (7 CONDITIONS) Signal: Buy/Sell, A-Grade Buy/Sell Risk: TP1 Hit, SL Hit Volatility: Squeeze Start █ PRO VERSION The PRO version adds: VWAP Expert — 7th expert for institutional fair-value bias with timeframe auto-scaling Trading Style Presets — Auto/Scalping/Intraday/Swing/Position/Custom with automatic parameter tuning Asset Auto-Optimization — Crypto/Forex/Stocks/Futures multipliers for volatility and volume sensitivity RSI Divergence Detection — Regular + Hidden divergences with visual labels and connecting lines S-Grade Signals — Elite setup grade (90%+ consensus) for highest probability entries Multi-Target TP — TP1/TP2/TP3 system with sequential hit detection and R:R ratio display Premium Dashboard — 17-row analytics panel with all expert weights, divergence status, and TP tracking 17 Alert Conditions — Including divergence alerts, squeeze breakout, trend flip, and grade-specific triggers █ NON-REPAINTING All calculations use standard non-repainting indicators (EMA, RSI, ADX, ATR, OBV, Stochastic, Bollinger Bands). Multi-timeframe data uses confirmed prior-bar values. No repainting. █ WORKS ON Crypto, Forex, Stocks, Futures, Indices, Commodities and Bonds — any timeframe from 1 second to Monthly. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. No indicator can predict market movements with certainty. Always implement proper risk management. Use this tool as one component of a comprehensive trading strategy, not as a standalone decision-making system.
Pine Script® インジケーター
alphachart_tvの投稿
Machine Learning Supertrend [Aslan]Hey everyone 👋, This is an indicator I've been working on for a long time. Its not really finished yet, but I think it has huge potential. It uses a SuperTrend foundation layer with momentum filtering, volume confirmation, and, most importantly, an adaptive engine that continuously adjusts its own parameters based on recent performance. It fires entry arrows on the chart while running a background simulation to score how the current settings are performing — then quietly adjusts itself over time. Two systems run in parallel: the signal engine that produces the arrows you see, and a background test matrix that opens and closes simulated trades to feed the optimizer. The optimizer adjusts parameters, which produces better signals, which feeds back into better learning. The Core Concept At its heart this is a SuperTrend indicator — a volatility band that flips bullish or bearish as price crosses it. Signals fire either when that flip occurs (Reversal mode) or when price pushes to a new extreme within the current trend (Breakout mode). On top of this, three adaptive learning layers run continuously: Global Optimizer — rolling window of recent trade results that proposes parameter changes based on win rate, Sortino ratio, and profit factor Micro-Batch Processor — a faster layer that groups results into mini-batches for quicker adjustments Regime Grid — a 2D memory map that remembers what settings worked under similar market conditions (trend strength × volatility) and biases proposals accordingly The Most Important Settings — Start Here Band Width (Group ②) — Default: 1.4 The single most impactful setting in the entire indicator. Controls how wide the SuperTrend bands are. Lower values (1.0–1.2) create tight bands that flip often, giving more signals but more noise. Higher values (2.0–3.0) only flip on large structural moves, giving fewer but stronger signals. If your chart feels too noisy, raise this first. Higher values result in more trend following signals, while lower ones result in more contrarian signals. Lookback Window (Group ②) — Default: 30 How many bars back the indicator scans when detecting new highs and lows. Lower values (10–15) react to minor swings and fire frequently. Higher values (50–100) only react to large structural pivots. Tune this alongside Band Width — they work together. Signal Type (Group ①) — Default: Reversal Pick one and stick with it. Reversal catches turning points when a trend exhausts. Breakout rides momentum to new extremes. Reactivity / Master Dial (Group ⑥) — Default: 10 Controls how aggressively the adaptive engine responds to new information. Value of 1 = very conservative, slow to adapt, stays close to your base inputs. Value of 20 = aggressive, adapts quickly and can drift far from base settings. Start at 10 and only raise it if the market you're trading changes character frequently. Signal Spacing (Group ①) — Default: 10 Minimum bars between any two signals. Prevents clustered rapid-fire entries in choppy zones. Lower on fast timeframes (3–5 on 1-min), higher on daily charts (20–30). Group-by-Group Reference ① Signal Mode Signal Type — Reversal catches trend exhaustion flips. Breakout rides momentum to new extremes. Pick one. Require Fresh Pivot — When on, a signal only fires if price made a genuine new high/low first. Off = more signals, more noise. Signal Spacing — Minimum bars between signals. Tune per timeframe. ② Volatility Envelope Lookback Window — Bars scanned for new highs/lows. Lower = more reactive, more signals. Smoothing Period — ATR calculation period. Lower = faster reaction to volatility, more band flips. Band Width — ATR multiplier for band width. The most impactful setting in the indicator. Lower = more signals, higher = fewer stronger signals. Price Basis — Which price source feeds SuperTrend. hlcc4 (default) is smoothest, close is most reactive. True Range Mode — On = RMA-smoothed ATR (standard). Off = EMA-smoothed, faster but noisier. ③ Momentum Filter Active — Toggles RSI filtering. Off = more signals but no momentum confirmation. Length — RSI period. Lower = more volatile RSI, filter triggers more easily. Hot Zone Memory — How many bars back it checks whether RSI was overbought (for sell confirmation). Higher = more lenient. Cold Zone Memory — Same concept for oversold / buy confirmation. RSI Hot/Cold Levels (set in Group ⑬) — Overbought/oversold thresholds. Default 70/30. Wider = more signals, tighter = fewer. ④ Flow Analysis Sample Depth — Bars averaged to define "normal" volume. Surge Threshold — Volume must exceed this multiple of average to count as a surge (1.2 = 20% above average). Require Surge — When on, signals only fire with volume confirmation. Dramatically reduces count but greatly improves quality. Worth enabling. ⑤ Signal Quality Key Levels Only — Only signals at major structural turning points fire. Fewer signals — suited for swing traders. Key Level Depth — ATRs the price range must span to qualify as a key level. Only matters when Key Levels Only is on. ⑥ Master Dial Reactivity (1–20) — The meta-knob for the entire adaptive engine. Controls batch size, adaptation speed, deadband sensitivity, and EMA alpha simultaneously. If you only change one adaptive setting, change this. Micro-Batch Processing — Enables the faster mini-batch learning layer. On = quicker adaptation. Live Pressure Sensor — Tracks cumulative up/down-tick volume flow on live bars to bias the optimizer's step size. Only affects live charts. ⑦ Auto-Tune Engine Enable Auto-Tune — Master switch. Off = fixed parameters forever, just a traditional indicator. Use Background Test Matrix — Runs the 5×5 simulated trade grid. Must be on for any adaptation to occur. Lock Envelope to Base — Forces plotted bands to use your original inputs visually even if internal parameters have drifted. The signal engine always uses adapted values regardless. ⑧ Optimizer Most users don't need to touch these — the defaults work well. Step Size — Base learning rate. Higher = faster but potentially overshooting adaptation. History Depth — Rolling window of trades used to compute statistics. Higher = slower but more stable learning. Win Ceiling / Floor — Win rate thresholds that trigger parameter tightening or loosening. Momentum Smoothing — EMA blend factor for applying new proposals. Higher = faster-acting changes. Update Cooldown — Minimum bars between parameter updates. Prevents rapid oscillation. Deadband Width / Period — Proposed changes must exceed these thresholds before being applied. Filters micro-jitter. Anchor Revert Interval / Strength — Every N bars, parameters drift back toward your base inputs. Safety mechanism against unbounded drift. P&L Cap per Trade — Clips outlier trades at this USD value before learning from them. Prevents one giant win/loss from distorting statistics. ⑨ Risk Guard Max Entries / Session — Stops new signals after this many trades in a day. Session Loss Limit — Pauses trading if cumulative session P&L drops below this USD amount. Base Pause After Loss — Bars to wait after a losing trade. Prevents revenge trading. Streak Limit — Pauses after this many consecutive losses. Scale Pause by Loss Size — Larger losses trigger proportionally longer pauses. Enforce on Test Matrix — Applies risk rules to the background simulation too. Usually leave off so the matrix always has fresh data. ⑩ Context Memory (Regime Grid) Enable Regime Grid — Activates the market-context memory system. Regime / Volatility Bins — Resolution of the grid on each axis. More bins = finer resolution but slower confidence buildup per cell. Neighbor Blend Radius — How much adjacent grid cells blend into each other. Higher = smoother but less precise. Decay Half-Life — How quickly older data in a cell loses weight. Lower = faster forgetting. Max Grid Influence — How much the regime grid can dominate the global optimizer. 0.65 = up to 65% grid contribution. ⑪ Decay Traces Short-term fading trade memory that specifically monitors for large adverse moves to tighten stops. Enable Trace Buffer — Activates short-term memory. Fade Rate — Energy reduction per bar. Higher = only very recent outcomes matter. Adverse Move Threshold — MAE in ATR units above which a trade is flagged as a tail event. Guard Tighten Cap — Maximum stop tightening allowed from tail-event feedback. ⑫ State Snapshot Restore String — Paste a previously exported snapshot here to reload learned parameters and grid cells across reloads. Export Now — Toggle on to emit the current learned state as an alert string. Toggle off afterward. Import on Next Bar — Applies the Restore String on the next confirmed bar. Risk Management (TP/SL Overlay) Show TP & SL — Toggles the visual overlay. TP/SL for — Which signal type drives the levels — Contrarian, AI Supertrend, or Both. TP 1/2/3 — Take-profit multipliers relative to the stop distance. Set any to 0 to disable that level. Quick Tuning Guide Too many noisy signals? Raise Band Width → raise Lookback Window → raise Signal Spacing → enable Require Surge → enable Key Levels Only. Too few signals? Lower Band Width → lower Lookback Window → lower Signal Spacing → disable Require Surge → disable Key Levels Only → widen RSI Hot/Cold levels. Want faster adaptation? Raise Reactivity toward 15–18 → lower History Depth → lower Decay Half-Life. Want more stability? Lower Reactivity toward 3–5 → raise History Depth → raise Anchor Revert Interval. Starting fresh on a new instrument? Let the indicator run for at least 50–100 bars before evaluating, then use Export Now to save the learned state so it survives a chart reload.
Pine Script® インジケーター
Zimordの投稿
56
AG Pro Moving Average Ribbon Stress Meter [AGPro Series]AG Pro Moving Average Ribbon Stress Meter Overview / What It Does This indicator is designed to read the internal condition of a moving-average ribbon rather than treating the ribbon as a simple trend overlay. Instead of asking only whether the ribbon is bullish or bearish, it asks a different question: is the ribbon structurally calm, starting to load, becoming strained, or losing internal order. The script builds a six-line moving-average ribbon, measures how those averages interact with each other, and converts that interaction into a stress framework. The result is a visual map that helps show whether the ribbon is organized, stretched, unstable, or resetting after stress. In practical terms, the script is built to help users evaluate ribbon quality, internal synchronization, and the degree of structural pressure inside the moving-average stack. It is not intended to forecast future prices, call tops or bottoms, or replace broader market analysis. Its purpose is to organize what the ribbon is doing now and how stable or unstable that structure appears to be. The chart output combines multiple layers: the ribbon itself, a central stress spine, edge bands, optional stress aura, event labels, and a compact status panel. Together, these elements aim to make the ribbon easier to interpret without requiring the user to manually inspect every moving average line on every bar. Unique Edge Many ribbon-style tools focus on directional bias, crossovers, or broad expansion and contraction. This script focuses on internal ribbon stress. Its main distinction is that it does not treat all ribbon trends as equal. A ribbon can be rising while still carrying internal disagreement. A ribbon can also look compressed or visually clean while underlying alignment, slope behavior, width dynamics, or price stretch are beginning to deteriorate. This script is built to surface those conditions. The goal is not to reduce the market to a single signal. The goal is to provide a structured visual read on whether the moving-average stack is operating in a calm state, a loaded state, a strained state, or a more unstable condition. That makes it more useful as a workflow tool than as a simple trend-colour overlay. Another point of differentiation is presentation. The script uses a ribbon-focused visual design so that the user can read internal condition directly from the chart. Focus modes, theme presets, stress spine layering, and a compact panel are included to keep the display informative without turning the chart into a dense dashboard. Methodology The script evaluates ribbon condition through five stress components. 1) Order Stress This measures whether the moving averages are stacked cleanly or whether their order is becoming mixed. Lower stress suggests cleaner structural order. Higher stress suggests more internal disorder. 2) Slope Dispersion Stress This evaluates how consistently the moving averages are sloping together. When the ribbon lines are moving with similar directional agreement, synchronization is stronger. When their slopes diverge, internal stress rises. 3) Width Instability Stress This tracks whether the ribbon width is behaving in a stable or unstable way. A ribbon can widen in an orderly way or in a more erratic way. This component attempts to distinguish between those conditions. 4) Curvature Stress This evaluates bending in the ribbon core. Strong changes in ribbon curvature may indicate increasing internal pressure or transition. 5) Price Stretch Stress This measures how far price is moving from the ribbon core relative to ribbon width and ATR-based normalization. This is not a directional claim. It is a structure-based distance measure. These components are weighted and blended into a smoothed Stress Score. That score then feeds the state engine. Primary states include Calm, Loaded, Strained, Critical, Fractured, and Recovery. The panel and visual styling use those states to summarize the ribbon condition at the current bar. Signals & Alerts This script is built around state transitions and structural events rather than buy/sell promises. Depending on settings, users may see event labels and alerts such as: Stress Build Shows that stress has crossed into an early loading phase. Strained Shows that the ribbon has moved into a more stressed internal state. Critical Load Highlights a higher-pressure condition where instability has become more meaningful. Ribbon Fracture Marks a stronger structural failure condition when stress and ribbon order deterioration align. Stress Reset Shows that a previously elevated stress condition has cooled enough to register recovery. Order Restored Highlights improvement in ribbon order after disorder had been present. These events are not trade instructions. They are context markers intended to help users track shifts in ribbon condition. Alerts should be interpreted together with market structure, timeframe context, volatility, and personal risk management. Key Inputs Source and MA Type The ribbon can be built from different moving-average types and data sources. Ribbon Lengths Users can define the six ribbon lengths to fit their preferred structure and timeframe. Stress Engine Inputs ATR length, slope lookback, width lookback, curvature lookback, smoothing, and component references allow users to calibrate how sensitive the stress model should be. Weights The script includes separate weights for order stress, slope dispersion, width instability, curvature stress, and price stretch stress. Thresholds Loaded, Strained, Critical, and Fracture thresholds can be adjusted for tighter or looser state transitions. Theme Presets and Focus Mode Theme presets and focus modes allow the ribbon to be displayed in different visual styles while preserving the same logic. Events and Panel Users can control label density, label spacing, marker visibility, and panel position. Limitations & Transparency This script is an interpretation framework built around moving-average relationships. It does not know future price movement, and it does not claim certainty. Like any model built on smoothed market data, it will react more slowly in some environments and may produce fewer useful transitions in others. Different assets and timeframes can produce different ribbon personalities. A threshold or weight set that feels balanced on one market may feel too sensitive or too quiet on another. Users should expect to adapt settings if they move between instruments with very different volatility or trend behavior. The stress model is also deliberately selective. It does not try to label every fluctuation or classify every candle. Its purpose is to organize ribbon condition, not to describe every possible market state. This indicator should also not be confused with a complete trading plan. It does not define entries, exits, position sizing, or account risk. It is best used as a structural context tool inside a broader workflow. Risk Disclosure This script is for chart analysis and educational use. It is not financial advice, investment advice, or a promise of outcome. No indicator can guarantee performance, remove risk, or eliminate false readings. Market conditions change, correlations shift, and trend behavior can weaken or reverse without warning. Any decision taken from this script should be made within a broader framework that includes price structure, liquidity, volatility, timeframe alignment, and risk control. Users are responsible for testing settings, understanding the limitations of moving-average tools, and deciding whether the information produced by the script fits their own process.
Pine Script® インジケーター
AGProLabsの投稿
2
Octa-MA Trend Spectrum (8-in-1 EMA/SMA) | Save Indicator Slots💡 设计初衷 (Design Purpose) 在 TradingView 的免费方案中，每个图表限制只能添加 2 或 3 个指标。如果你想同时观察 510、20、50、120、200 等多条均线，指标位很快就会被占满，导致无法添加 MACD 或 RSI 等其他工具。 Octa-MA Trend Spectrum 正是为了解决这一痛点而生！它将 8 条完全可自定义的均线 整合进一个指标位中，为免费用户释放更多操作空间。 ✨ 核心功能 (Key Features) 🚀 8合1 极度整合： 仅占用 1个 指标位，即可同时显示 8 条移动平均线。 🔄 一键切换算法： 可以在设置中全局切换 EMA (指数移动平均) 或 SMA (简单移动平均)，无需重新加载脚本。 🎨 高度自定义： 每条均线均可独立开启/关闭。 完全自主配置长度（Length）、颜色和线宽。 🌈 趋势光谱视觉： 默认配置了由浅入深的色彩梯度，方便一眼识别趋势的强度、发散与收敛。 📈 使用指南 (How to use) 趋势确认： 当均线呈多头排列（短线在长线上方）且颜色层次分明时，代表强趋势市场。 动态支撑/阻力： EMA 60 和 200 通常作为牛熊分界线，结合本指标的 8 条线，你可以更精准地捕捉到价格的回踩位置。 节省空间： 将本指标添加后，你依然有充足的指标位去添加成交量、振荡指标（RSI/KDJ）或其他复杂的策略工具。 🛠️ 声明 (Disclaimer) 本脚本基于 Pine Script v5 开发，性能轻量，不会导致图表卡顿。 🚀 The Ultimate Solution for Free Users TradingView Basic/Free accounts are limited to only 2 or 3 indicators per chart. If you want to track the standard "Rainbow" or "Ribbon" setup (e.g., 5, 10, 20, 50, 100, 200 MAs), you would normally run out of slots instantly—leaving no room for RSI, MACD, or Volume. Octa-MA Trend Spectrum solves this by packing 8 fully customizable Moving Averages into one single indicator slot. Save your slots for other technical tools without sacrificing your trend analysis! ✨ Key Features 8-in-1 Integration: View up to 8 different moving averages while using only 1 indicator slot. Global Algorithm Toggle: Switch between EMA (Exponential) and SMA (Simple) globally with a single click in the settings. Total Customization: Individually toggle each of the 8 lines on/off. Fully adjustable lengths, colors, and line widths. Supports any price source (Close, Open, HL2, etc.). Visual Trend Spectrum: Default color gradients help you visualize trend strength, fan-outs (expansion), and squeezes (consolidation) at a glance. 📈 How to Use Trend Confirmation: When the lines are stacked in order (short-term above long-term) and fanning out, it indicates a strong trending market. Dynamic Support/Resistance: Use the longer-term MAs (like the 50, 144, or 200) as high-probability zones for price pullbacks and bounces. Optimization: Use the first 4 lines for short-term "scalping" momentum and the last 4 for "big picture" bull/bear bias. 🛠️ Technical Details Built on Pine Script v5, this script is lightweight and high-performance. It won't lag your charts, even on low-spec devices or mobile.
Pine Script® インジケーター
william_wqの投稿
MTF CISD Trade System + Alerts🔹 Introduction This indicator, MTF CISD Trade System + Alerts, identifies high-probability trade entries by detecting Change in State of Delivery (CISD) events across up to six user-defined timeframes simultaneously, and only triggering an entry signal when every enabled timeframe agrees on directional bias — confirmed by a matching CISD on the chart's own timeframe. The core idea is this: when the market's delivery mechanism — the way price is being distributed or accumulated by institutional participants — shifts in the same direction across multiple timeframes at once, that convergence is meaningful. A single timeframe CISD is noise. Six timeframes aligning and then confirming on your entry timeframe is a structurally significant event. No model of institutional order flow or delivery state is perfect. CISD is a proxy — a price-action-based inference about intent, not direct visibility into the order book. I'll address this limitation honestly throughout. 🔹 The Premise 🔸 What is "Delivery"? Markets don't move randomly. Price is delivered from one level to another by participants with directional intent. When a large participant — a bank, fund, or algorithm with size — wants to accumulate a long position, they need sellers. When they want to distribute, they need buyers. The process of filling that intent leaves observable footprints in price structure. Delivery state refers to the current directional intent baked into recent price action. Is the market delivering price upward — making higher closes, respecting higher opens, absorbing sell-side resistance? Or is it delivering downward — closing below opens, treating prior bullish structure as supply? The key insight is that delivery doesn't change instantaneously. It tends to persist. A market that has been delivering bullishly for the past several candles is more likely to continue doing so than to suddenly reverse — until it shows you structural evidence of a state change. That evidence is what CISD captures. 🔸 The Mechanics of a CISD Consider a concrete example. Assume price has been in a bearish delivery phase. The most recent non-inside bearish candle closed at $99 with an open of $101. That open — $101 — becomes a bull target: a structural level that, if reclaimed on a close, suggests the market is no longer delivering bearishly. Now assume price trades sideways for a few candles and then a candle closes at $102. The prior close was at $100, meaning price was below $101 going into this candle and has now closed above it. That crossover — price transitioning through the open of a prior bearish candle — is a Bullish CISD. Why does the open matter and not, say, the high or the body midpoint? Because the open of a directional candle represents where price started before commitment was expressed. Reclaiming it suggests that commitment is being challenged at the source. It's the most structurally defensible level to use without access to actual order book data. The inverse applies for Bearish CISD: the open of the last non-inside bullish candle becomes a bear target, and a close below it — crossing from above — signals a shift toward bearish delivery. Inside candles are excluded. A candle whose high is lower than the prior high and whose low is higher than the prior low is an inside candle — it expresses no directional commitment of its own. Using it to set a target would contaminate the signal with indecision. The indicator skips inside candles entirely when updating targets. 🔸 Why Multiple Timeframes? A single CISD on a 5-minute chart happens dozens of times per session. Most are meaningless. They represent micro-fluctuations in a market that is, at higher timeframes, still clearly trending in the opposite direction. The core challenge in intraday trading is timeframe alignment: you want to be trading with the higher timeframe bias, not against it. A bullish 5-minute CISD during a bearish hourly, daily, and weekly structure is a counter-trend scalp at best, a trap at worst. Lo and MacKinlay (1988) documented that returns at different frequencies are not independent — price structure at higher timeframes significantly conditions the distribution of outcomes at lower timeframes. This is the academic underpinning of what traders know empirically: trade with the higher timeframe, not against it. When the Weekly, Daily, H4, H1, M15, and M5 have all individually confirmed a bullish CISD — meaning delivery has demonstrably shifted to bullish on every relevant timeframe — the probability that a long entry will find follow-through is structurally higher than any single-timeframe setup could provide. Six-timeframe alignment is rare. That rarity is the filter. 🔸 The Confirmation Gate — Why Not Enter Immediately on Alignment? This is a subtle but critical design decision, and one that separates this system from a naive multi-timeframe crossover. When a higher timeframe — say, the hourly — registers its CISD and becomes the final piece needed for full bearish alignment, the current 5-minute candle might already have a bullish CISD baked into it. That candle existed before the alignment completed. It's not a response to bearish alignment — it's a relic of the prior bullish structure. Entering short on that candle would be entering against the very confirmation you're requiring. You'd be using a bullish local signal as a short entry trigger simply because the timing happened to coincide with a higher timeframe shift. The indicator solves this with a pending state. The moment full alignment is achieved, the system arms a directional pending flag and waits. It does not enter. It listens. The entry only fires when the next local CISD — the one that occurs after alignment is confirmed — appears in the correct direction. A bearish pending state requires a new bearish CISD on the chart timeframe. A bullish pending state requires a new bullish CISD. The entry is always a fresh confirmation, never a recycled one. 🔹 How It Works 🔸 CISD Detection Engine The indicator runs an identical CISD detection function on every timeframe, including the local chart timeframe and all six user-selected higher timeframes via request.security. For each timeframe, it maintains two levels: Bull target — the open of the most recent non-inside bearish candle Bear target — the open of the most recent non-inside bullish candle A Bullish CISD fires when the prior close was at or below the bull target and the current close is above it. A Bearish CISD fires when the prior close was at or above the bear target and the current close is below it. State updates — the "Last CISD" label in the table — only occur on confirmed (closed) bars. This prevents the state from flickering during the formation of a live candle. What you see in the table reflects the last completed directional shift, not a mid-bar reading. Small green triangles below bars mark Bullish CISD events on the chart timeframe. Small red triangles above bars mark Bearish CISD events. These are visual anchors showing you where delivery shifts are occurring locally — independently of whether alignment is achieved. 🔸 Multi-Timeframe Alignment Table In the top-right corner, a compact table displays the current CISD state for each of the six configured timeframes. Green (Bullish) — that timeframe's last confirmed CISD was bullish Red (Bearish) — that timeframe's last confirmed CISD was bearish Gray (Neutral) — insufficient history or no CISD has fired yet Full alignment — all enabled timeframes showing the same state — triggers a green or red background on the chart. This background is persistent: it stays active for the entire duration that alignment holds, giving you a continuous visual context for the trade environment. Individual timeframes can be enabled or disabled. Disabling a timeframe removes it from the alignment calculation entirely — it doesn't count for or against alignment. This lets you configure the system for your specific trading style, whether that's a 3-timeframe approach for faster setups or all 6 for maximum confluence. 🔸 Entry Signals Larger triangles — green below the bar for longs, red above the bar for shorts — mark actual entry signals. These only appear when: All enabled timeframes are aligned in the same direction The CISD confirmation gate is armed (alignment was freshly achieved or is ongoing) A new local CISD fires in the matching direction The entry falls within the configured time window and day-of-week filter Entries are taken at the close of the confirmation candle. This is an important assumption: in practice, you would place a limit order at the close price or enter at the open of the next candle. Bar-close entries are the most common convention for CISD-based strategies because the CISD itself is only confirmed on the close. 🔸 Trade Lines and Risk Management When an entry fires, the indicator automatically draws three horizontal lines extending forward in time: Blue (Entry) — the close price at the moment of entry Red dashed (Stop Loss) — the open of the entry candle by default, or the low of the prior candle for longs / high of the prior candle for shorts if the "Use Previous Candle for SL" option is enabled Green dashed (Take Profit) — calculated as Entry + (Risk × RR Ratio) for longs, Entry − (Risk × RR Ratio) for shorts The Risk-Reward Ratio is fully adjustable. The default is 2.0, meaning TP is twice the distance of SL from entry. Increasing this improves the reward per trade but will reduce win rate as price needs to travel further to close the trade as a winner. Decreasing it improves win rate at the cost of expected value per trade — there is a direct tradeoff. The stop loss placement assumption matters significantly. Using the entry candle's open assumes you're targeting the candle where delivery shifted as your invalidation point — if price returns to that open, the CISD failed. Using the prior candle's extreme gives the trade slightly more room but widens risk. Neither is universally superior — it depends on the volatility of the instrument and the timeframe you're trading. Lines extend bar-by-bar until alignment breaks, at which point the trade is considered closed. 🔸 Session and Day-of-Week Filters The entry filter uses America/New_York timezone with automatic DST adjustment. You set a start and end hour/minute in Eastern time, and the indicator computes whether each potential entry candle's close time falls within that window. This matters because CISD setups during illiquid hours — Asian session for US equities, overnight for forex majors during off-hours — tend to produce false alignment from low-volume price drift rather than genuine institutional delivery shifts. Restricting entries to the primary session for your instrument significantly reduces noise. Days of the week are individually toggleable. Sunday and Saturday are off by default. Mondays and Fridays around major economic events are worth monitoring carefully — many traders prefer to disable Friday entries to avoid holding through weekend gaps. 🔸 Performance Statistics Table In the bottom-left, a live stats table tracks: Total Trades — all entry signals that fired within the allowed session Wins — trades where price reached the TP level before alignment broke Losses — trades where price hit the SL level, or alignment broke before either level was reached Win Rate — wins as a percentage of total trades There are limitations here worth stating clearly. The stats count a trade as a loss if alignment breaks before either TP or SL is hit — which is the conservative assumption. In live trading, you might hold the trade past alignment if your personal rules allow it. The stats reflect the mechanical rules of the system as coded, not all possible discretionary interpretations. 🔹 Closing Remarks CISD is one of the more structurally sound price-action concepts available to retail traders because it is anchored to a specific, objectively defined level — the open of a prior directional candle — rather than a subjective pattern or a lagging average. It doesn't predict the future. It identifies where delivery has demonstrably shifted and asks whether the market is confirming that shift across the timeframes that matter to you. This system is not a black box that prints money. Full six-timeframe alignment is rare by design. When it occurs, you are looking at a market that has, at every relevant structural level, shifted its delivery state in the same direction. That's meaningful context — not a guarantee. The most important thing this system can do for your trading is force discipline: you cannot enter unless structure agrees. You cannot enter on a stale signal. You cannot override the session filter in the code. The rules are the rules. Use it as a confluence tool. Study the setups it finds. Understand why some hit TP and others break alignment early. The patterns in that data will teach you more about your instrument than any indicator description can. 🔹 References Market Microstructure & Timeframe Dependency Lo, A. W., & MacKinlay, A. C. (1988). Stock market prices do not follow random walks: Evidence from a simple specification test. Review of Financial Studies, 1(1), 41–66. Easley, D., & O'Hara, M. (1992). Time and the process of security price adjustment. Journal of Finance, 47(2), 577–605. Order Flow and Directional Delivery Hasbrouck, J. (1991). Measuring the information content of stock trades. Journal of Finance, 46(1), 179–207. Glosten, L. R., & Milgrom, P. R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14(1), 71–100. Multi-Timeframe Analysis Müller, U. A., Dacorogna, M. M., Davé, R. D., Pictet, O. V., Olsen, R. B., & Ward, J. R. (1993). Fractals and intrinsic time — a challenge to econometricians. Olsen & Associates Research Group, Zurich.
Pine Script® インジケーター
Resonant_Traderの投稿
8
FVG Rejection Trade SystemHere's the publication description: FVG Rejection Trade System 🔹 Introduction This indicator — FVG Rejection Trade System — identifies Fair Value Gaps (FVGs) on your chart, detects when price returns to reject from those gaps, and automatically manages hypothetical trade entries, stop-losses, and take-profits — tracking all results in a live stats table. The core idea is rooted in one of the more durable observations in price action: gaps created by three-candle imbalances act as unfinished business. When price returns to fill that imbalance and rejects, the gap has functioned as support or resistance. That rejection is the signal. No indicator can guarantee the gap will hold. This model is a systematic framework for identifying and logging these events — not a prediction engine. A FVG that rejects on Tuesday may fill on Thursday. The stats table exists precisely to let you measure this empirically on your specific instrument and timeframe over time. I'll cover the detection logic, entry rules, filtering options, and how to read the table output throughout. 🔹 The Premise 🔸 What is a Fair Value Gap? A Fair Value Gap forms when price moves so aggressively in one direction that a three-candle sequence leaves an unfilled range. Specifically: For a bullish FVG — the high of candle two bars ago is below the low of the current bar. That untouched range between them is the gap. Price gapped upward, leaving a pocket of inefficiency below. For a bearish FVG — the low of candle two bars ago is above the high of the current bar. Price gapped downward. To understand why these levels matter, consider what's happening mechanically. Assume price is trading at 5,000 on an S&P futures chart. A large aggressive buy order runs through the tape — three consecutive candles close higher with almost no overlap. The high of the first setup candle sits at 4,980. The low of the third candle is 5,010. Everything between 4,980 and 5,010 was skipped. That range never saw two-sided trading. No sellers provided liquidity there because price moved through before they could respond. No buyers filled bids there because the move was already past them. When price returns to that range, it is returning to the scene of unfinished business. Buyers who missed the initial move may be waiting. Sellers who were run over may defend. The gap acts as a potential inflection zone. 🔸 Why Rejection — Not Just Touch — Is the Signal A gap retest alone isn't enough. Price entering a FVG is ambiguous — it could be reclaiming the zone cleanly, or it could be reversing hard through it. The distinction matters enormously for trade quality. This indicator requires rejection confirmation: the candle that enters the zone must close back outside the zone on the opposite side from which it entered. For a bullish FVG, the candle's low must reach down into the zone and its close must be at or above the zone top. The candle wick penetrated — the body confirmed recovery. This is the structural equivalent of a failed breakdown. Price tested the support area, couldn't sustain below it, and committed back above. That candle body is the market's real-time vote. A close that confirms rejection is meaningfully different from a wick that merely touches. 🔸 Invalidation Logic — When the Gap No Longer Matters Not all gaps deserve to be traded. This indicator implements a two-sided invalidation rule: A bullish FVG is deleted if price closes below the gap's bottom boundary. Support is gone. There's no basis for a long setup in a zone that price has already violated on a closing basis. A bullish FVG is also deleted if price closes above the gap's top boundary without a rejection. This means price blew through cleanly — the gap was consumed, not defended. The "retest and hold" scenario is no longer available. The same logic applies symmetrically to bearish FVGs. A gap that price has already escaped is no longer a valid reference level. Removing it keeps the chart clean and the trade logic honest. 🔹 How It Works 🔸 Detection and Box Rendering FVGs are rendered as colored rectangles — green for bullish, red for bearish — extending a user-defined number of bars to the right. The minimum gap size filter (default: ATR-based) prevents the indicator from tagging every micro-gap on every bar. When Auto Min Gap Size is enabled, the gap must exceed one ATR(14) to be considered meaningful relative to current volatility. You can disable this and set a manual threshold if you prefer a fixed tick/point minimum. Enabling Only Show Latest Gap keeps the chart uncluttered by removing previous boxes when a new one forms. Useful on lower timeframes where gaps stack quickly. 🔸 Entry Logic When a rejection candle closes, the trade is queued — it does not enter on that candle's close. Entry fires at the open of the next bar. This is a deliberate choice: entering at the current bar's close introduces lookahead risk in backtesting. Entering at the next bar's open is what you would actually execute in practice by placing a market order after the signal candle closes. Entry is long for bullish FVG rejections. Entry is short for bearish FVG rejections. 🔸 Stop-Loss Placement Two stop modes are available: FVG Zone — the stop is placed below the gap's lower boundary (for longs) or above the upper boundary (for shorts). A configurable buffer (default 10% of gap size) is added beyond the level to avoid being stopped by noise that slightly violates the zone. Rejection Candle High/Low — the stop is placed at the extreme wick of the rejection candle itself (the low for longs, the high for shorts), again with the buffer. This produces a tighter stop and larger R:R in raw price terms, but is more susceptible to being stopped out on follow-through wicks. The choice between these modes meaningfully changes your win rate and average risk. Neither is universally superior — the stats table exists to help you measure this on your instrument. 🔸 Take-Profit TP is calculated as a fixed Risk:Reward multiple from entry. At the default 2:1, every dollar risked targets two dollars of reward. The R:R is displayed in the stats table and updates in real time when you change the setting. 🔸 Entry / SL / TP Lines Three dashed lines are drawn from each entry bar: white for entry price, red for stop, green for take-profit. All three extend to the right until the trade resolves. When a trade closes, the lines are capped at the exit bar. The line representing the level not reached is faded — red fades on wins, green fades on losses — giving you an immediate visual read on what happened without needing to inspect every trade manually. Every element of these lines — color, width, style (solid, dashed, dotted) — is fully customizable from the Line Styles settings group. 🔸 TP ✓ / SL ✗ Labels At the bar where each trade resolves, a label is placed at the exact exit price. TP ✓ in your chosen green confirms a winning trade. SL ✗ in your chosen red marks a stop-out. Labels are positioned above or below the bar based on direction and outcome so they don't stack on top of each other. Label size is independently configurable. 🔸 VWAP Filter When enabled, the indicator will only enter long trades on rejection candles that closed above VWAP, and only enter short trades on candles that closed below VWAP. The VWAP line is rendered on the chart in yellow when this filter is active. The rationale: VWAP is the volume-weighted average price for the session. A bullish FVG rejection occurring while price is below the day's average traded price is swimming against the volume-weighted current. Filtering to your directional VWAP bias is one of the simplest regime filters available on intraday charts. Note that VWAP resets each session. On daily or higher timeframes this filter has less conceptual meaning and should likely be disabled. 🔸 Time Window Filter The indicator includes a session time filter defaulting to 8:00 AM – 11:00 AM EST — the first three hours of the US equity session, generally considered the highest-liquidity and most directional window of the trading day. Only rejections occurring inside this window will trigger entries. Time is calculated from the raw bar timestamp converted to UTC-5, so the filter functions correctly regardless of your chart's timezone setting. Start and end times are entered in 24-hour HHMM format (e.g., 800 for 8:00 AM, 1300 for 1:00 PM). Toggling this filter off opens the system to all hours, which is useful for evaluating overnight sessions or non-US instruments. 🔸 Stats Table A real-time performance table is rendered in the corner of your choice, showing: Wins / Losses / Total — broken out for bullish trades, bearish trades, and combined Win Rate — percentage of closed trades that hit TP before SL R:R — the current risk-reward setting, so the context behind the win rate is always visible Open — count of currently active trades by direction Win rate without R:R is meaningless data. A 30% win rate at 3:1 R:R is profitable. A 60% win rate at 0.5:1 is not. The table shows both together intentionally. 🔹 Settings Reference Fair Value Gap Gap Length — how many bars the FVG box extends to the right Auto Min Gap Size — uses ATR(14) as the minimum gap threshold; disable to set manually Only Show Latest Gap — removes older boxes when a new gap forms Delete Filled Gaps — removes boxes when price closes outside both boundaries Trade System Risk:Reward Ratio — TP distance as a multiple of risk Stop Loss Placement — FVG Zone or Rejection Candle High/Low Stop Buffer % — percentage of zone/candle range added beyond the SL level VWAP Filter — restrict entries to VWAP-side direction Time Window Filter — restrict entries to a configurable EST time range Line Styles Fully independent color, width (1–4), and style (Solid/Dashed/Dotted) for Entry, SL, and TP lines Separate color and size controls for TP ✓ / SL ✗ hit labels 🔹 Closing Remarks Fair Value Gaps are one of the more conceptually grounded tools in modern price action analysis. They represent real structural events — moments where directional aggression created an asymmetric footprint in the price record. Whether they consistently act as support or resistance depends heavily on the instrument, timeframe, and market regime. This indicator is a measurement tool, not a prediction engine. The stats table is its most important feature. Load it on your preferred chart, let it run across several weeks of data, and examine whether bullish rejections, bearish rejections, or both are producing positive expectancy at your chosen settings. Change the time filter. Test different R:R ratios. Compare the VWAP-filtered results against unfiltered. The system gives you the infrastructure to do that work empirically. What you do with the data is the actual edge.
Pine Script® インジケーター
Resonant_Traderの投稿
Outside Bar & 2-Bar Reversal Alerts + SystemOutside Bar & 2-Bar Reversal — Price Action Reversal Detection with Integrated Trade Management Hello friends and traders! 🔹 Introduction This indicator — Outside Bar & 2-Bar Reversal — automatically identifies two of the most structurally sound price action reversal patterns and overlays a complete trade management system directly on your chart. The patterns this indicator detects are rooted in a simple but powerful idea: momentum exhaustion followed by full absorption. When price makes an aggressive directional push and is then completely engulfed by the opposing side, it often signals that the prevailing move has run out of willing participants. The indicator also includes an optional suite of confluence filters — VWAP, swing sweeps, and time-of-day — so you can isolate the highest-quality setups rather than trading every signal blindly. I'll cover the pattern logic, the trade management system, and all filters in detail throughout this description. 🔹 The Premise 🔸 Why Reversal Candles Work Price moves because of imbalance. When more aggressive buyers than sellers are active, price rises. When more aggressive sellers than buyers are active, price falls. Reversal candle patterns are useful because they attempt to identify the moment that imbalance flips — where one side that was previously dominant is fully overcome by the other. The key word is fully. A simple bearish candle after a bullish candle tells you very little. What's meaningful is when the opposing candle completely engulfs the prior move — taking out its low, closing above its open, and reaching above its high. That's not just a pause. That's a statement. This is the foundation of both patterns this indicator detects. 🔸 What Is an Outside Bar? An outside bar is a candle that completely engulfs the prior candle — its range exceeds the prior candle's range on both sides. But not all outside bars are created equal. A random outside bar on a quiet consolidation bar means very little. The patterns this indicator targets require context and directionality before the signal fires. Bullish Outside Bar — Full Conditions: Candle 1 must be bearish — it closes below its open Candle 1 must close below the prior candle's close — a genuine continuation of selling Candle 1's low must be below the prior candle's low — it must make a lower low, showing directional commitment Candle 2 (signal candle) must have a lower low than Candle 1 — extending the flush Candle 2 must close above Candle 1's open — full absorption of the bearish candle Candle 2 must have a higher high than Candle 1 — completing the engulf The result: a setup where price made a committed bearish push, and then a single candle came in, swept below it, and closed above the entire prior move. Buyers didn't just show up — they overwhelmed every seller from the prior candle. Bearish Outside Bar — Full Conditions: The exact mirror. A committed bullish candle that makes a higher high, followed by a signal candle that sweeps above it and closes below its entire range. Sellers overwhelmed every buyer. 🔸 What Is a 2-Bar Reversal? The 2-Bar Reversal is a related but distinct pattern. Rather than requiring full range engulfment, it focuses on close-to-close extremity. Bullish 2-Bar Reversal: Candle 1 closes entirely below the low of the candle before it — an aggressive, committed flush Candle 2 closes above the open of Candle 1 — a full reclaim of the prior candle's starting point The logic: if price closes below a prior candle's entire range, sellers were aggressive. If the very next candle reclaims all of that, buyers responded even more aggressively. The speed of the reversal is what makes this significant. Bearish 2-Bar Reversal: Candle 1 closes above the prior candle's high. Candle 2 closes below Candle 1's open. Immediate and full rejection of the breakout. 🔹 Integrated Trade Management Every signal automatically places three levels on your chart so you never have to manually calculate a trade again. 🔸 Entry The open of the candle immediately following the signal candle. You're not chasing — you're entering at the next structured open after confirmation is complete. 🔸 Stop Loss The open of the signal candle itself. The reasoning: if price returns to where the signal candle opened, the reversal thesis is structurally compromised. 🔸 Take Profit Fully user-adjustable R multiple. Default is 2R — meaning for every dollar risked, you're targeting two dollars of reward. Adjustable from 0.1R to any value via the settings panel. 🔸 Line Behavior All three lines extend to the right in real time and automatically terminate the moment price hits either the TP or SL level. No manual cleanup. No cluttered leftover lines. Every historical trade remains visible on the chart so you can review setups at a glance. 🔹 Live Performance Table A built-in stats table tracks every closed trade automatically: Total Trades — all resolved trades Wins — trades that reached the TP level Losses — trades that hit the SL level Win Rate — displayed as a percentage, color coded green above 50% and red below Load any chart, any timeframe, any market — the table populates in real time and gives you an instant read on how the patterns have performed under your current filter settings. 🔹 Confluence Filters Each filter is independently toggleable. Use one, all, or none — the indicator works standalone without any filters active. 🔸 VWAP Filter VWAP (Volume Weighted Average Price) is widely used by institutional participants as an intraday benchmark. Price trading above VWAP is generally considered a bullish market structure for the session; below VWAP is bearish. When enabled, this filter requires: Bullish signals: the signal candle must close above VWAP Bearish signals: the signal candle must close below VWAP This keeps you aligned with the intraday institutional bias rather than trading reversals against the dominant order flow of the session. 🔸 Swing Sweep Filter One of the most reliable contexts for a reversal pattern is when it occurs after a liquidity sweep — price briefly trading through a prior swing point before reversing. This is often where stop orders from trapped traders trigger, adding fuel to the reversal. When enabled: Bullish signals only show if the signal candle's low swept below a recent pivot low Bearish signals only show if the signal candle's high swept above a recent pivot high Both the lookback window and the pivot strength (number of bars required on each side to qualify as a swing) are fully adjustable. 🔸 Time Window Filter Not all hours of the trading day are equal. The highest-quality price action signals tend to occur during periods of genuine institutional participation — typically the first few hours of the New York session when volume, spread, and volatility are all at their daily peak. When enabled, signals are restricted to a user-defined time window. Default is 8:00 AM – 11:00 AM EST, covering the New York open. The start and end times are individually adjustable by hour and minute. Uses the America/New_York timezone, so EST/EDT daylight saving transitions are handled automatically. 🔹 Settings Overview SettingDescriptionShow Bullish / Bearish SignalsToggle each direction independentlyShow Outside BarsToggle OB pattern on/offShow 2-Bar ReversalsToggle 2BR pattern on/offTake Profit R MultipleAdjustable TP target (default 2R)Show Trade LinesToggle entry/SL/TP linesLine ColorsIndependently customizableTime Window FilterOn/off + start/end timeVWAP FilterOn/offSwing Sweep FilterOn/off + lookback + pivot strength 🔹 Works On Any Market & Timeframe The patterns are purely price-action based — no volume dependency, no indicator inputs. They apply equally to equities, futures, forex, and crypto. Most effective on intraday timeframes (1m–15m) during high-liquidity sessions, but the logic holds on higher timeframes for swing traders as well. 🔹 Closing Remarks The Outside Bar and 2-Bar Reversal are not new concepts. Traders have been observing these patterns for decades. What this indicator adds is precision in definition — ensuring every signal meets a strict structural checklist rather than firing on any loosely engulfing candle — combined with a fully automated trade management overlay and a real-time performance table. The filters exist because context matters. The same pattern in the middle of a choppy afternoon session, below VWAP, with no liquidity sweep, is a different proposition to the same pattern at the New York open, above VWAP, after a clean sweep of a prior swing low. Use the filters to build a ruleset that matches your edge, and use the performance table to validate it. Drop a comment below with the market and timeframe you're testing this on — always interested to see how different traders apply price action tools.
Pine Script® インジケーター
Resonant_Traderの投稿
Order Blocks Rejection Stats [RT]This indicator identifies Order Blocks based on price action. It draws rectangular zones on the chart for visual identification and highlights bounces (rejections) within these zones. Additionally, it provides optional trade visualization with entry, stop-loss (SL), and take-profit (TP) lines based on user-defined filters, along with a performance summary table for backtesting purposes. The logic is inspired by smart money concepts (SMC), focusing on pivot zones where price may reverse or continue. Note that this is a technical tool for analysis only; it does not provide trading signals or guarantees any outcomes. Key Features Order Block Detection: Automatically detects and draws bullish (demand) and bearish (supply) order blocks using predefined price action setups. Bounce Identification: Marks rejections (bounces) at order blocks with triangles for quick visual cues. Trade Visualization: On bounces meeting filter conditions, plots entry (at close), SL (at block extremity or candle open), and TP (based on adjustable risk-reward ratio) lines. Lines extend until SL or TP is hit, with arrows indicating hits (green for TP, red for SL). Filters: Includes a customizable moving average (MA) for trend confirmation (e.g., long above MA), time window for session-based trading, and optional SL adjustment to the bounce candle's open. Performance Table: Displays wins, losses, and win rate in a table (for educational backtesting; not real-time trading results). Customizable Colors and Sizes: User inputs for line colors and table text size. Inputs and Settings Delete Order Blocks After Fill: Removes blocks after price breaks through them. Order Block Extension Length: Sets how far blocks extend (0 for infinite). Moving Average Settings: Length, type (SMA/EMA/etc.), and source for trend filter. Time Filter: Start/end hours/minutes to restrict entries to specific sessions. Use Bounce Candle Open for SL: Moves SL to the open of the confirming candle. Risk Reward Ratio: Adjusts TP distance relative to risk (default 1:1). Line Colors: Separate colors for long/short entry, SL, and TP lines. Table Text Size: Options from "tiny" to "huge" for the stats table. How It Works Block Formation: Scans for pivot setups (e.g., engulfing or break patterns) to create new blocks, queuing them for future retests. Bounce Detection: When price overlaps a block and forms a reversal pattern, it's marked as a bounce. Entry Conditions: Entries trigger on bounces above/below the MA and within the time window. Lines are drawn and extended dynamically. Exit Tracking: Monitors if price hits TP (win) or SL (loss), updates the table, and stops line extension. Table Update: Shows cumulative stats on the last bar for review. This indicator can be used on any timeframe or asset for zone-based analysis. Experiment with settings to suit your chart. Important Disclaimer This is an educational tool and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and use proper risk management. The developer makes no representations about profitability or suitability for any trading strategy.
Pine Script® インジケーター
Resonant_Traderの投稿
Heikin Ashi Moving Average Overlay - Wall Street RedneckTurn any standard candlestick chart into a Heikin Ashi trend map — without replacing your candles. This overlay draws a moving average that matches Heikin Ashi candle colors in real time. Green = bullish trend, Red = bearish trend. Smooth, simple, and instantly readable. Unlike regular Heikin Ashi candles, this overlay keeps your chart clean while still showing exact trend direction based on Heikin Ashi logic. How to use: Add it to any candlestick chart to see trend direction at a glance. Use it as a trend filter or visual confirmation alongside your favorite strategies.
Pine Script® インジケーター
Wall-Street-Redneckの投稿
2
Price per m2 Argentina CABA USD/m2 - SMAs (1999-2025)Overview This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) with monthly data (2012–2025) to reconstruct a long-term residential real estate pricing series. All values were manually digitized, cleaned, and consolidated from public reports and market datasets to create a continuous analytical framework for historical valuation analysis. The script also includes SMA20, SMA50, and SMA100 calculated over the custom dataset to support long-term trend analysis, cycle identification, and macro structural evaluation. Data Sources 1999–2011 (Annual): Maure Real Estate Market Reports 2012–2020 (Monthly): UCEMA Real Estate Index 2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor All datasets referenced are derived from publicly available reports and institutional publications. How to Use This Indicator *USE ON THE 1 MONTH TIMEFRAME* This tool enables investors, developers, and market analysts to: • Identify multi-year trend shifts in residential real estate valuations • Compare pricing cycles against Argentine macroeconomic environments • Map long-term support and resistance zones • Detect early signs of market recovery or contraction • Integrate real estate fundamentals with technical analysis frameworks The moving averages help visualize structural trends that are typically less observable in traditional property datasets. About This Work This historical series was reconstructed and coded by Engineer Francisco Michelich through the consolidation of market research, statistical normalization, and technical analysis methodologies. This script does not represent an official financial index and is not affiliated with the original data institutions. It is intended solely as an educational and analytical tool for visualizing long-term trends in the Buenos Aires, Argentina residential real estate market.
Pine Script® インジケーター
mitchfmの投稿
POC Sweep Reclaim [LuxAlgo]The POC Sweep Reclaim (PSR) model identifies a two-step "rejection then acceptance" price action pattern centered around the Point of Control (POC) of previous candles. By approximating volume-at-price data using lower timeframe (LTF) granularity, the tool highlights specific liquidity traps where price first fails to sustain a move beyond a high-volume level and subsequently reclaims it. The PSR framework is built on the logic that a "Sweep" represents a failed probe of value, while the "Reclaim" represents a successful breach, signaling a potential shift in market dominance as price moves away from trapped participants. 🔶 USAGE The indicator visualizes market microstructure dynamics through a sequence of two distinct events: 🔹 The Sweep (The Rejection) A sweep occurs when a candle's wick trades through the previous bar's POC, but the candle body fails to close beyond it. This identifies a "Liquidity Grab" where price interacts with a high-volume node but fails to find acceptance, often trapping breakout traders. Buyside Sweep: Price wicks above the previous POC but closes below it (Bearish Rejection). Sellside Sweep: Price wicks below the previous POC but closes above it (Bullish Rejection). 🔹 The Reclaim (The Acceptance) A reclaim occurs when the candle immediately following a sweep successfully closes beyond the same POC level that was just rejected. BSR (Buyside Reclaim): A bullish signal where price closes above a previously swept upper POC, suggesting the trap is resolved to the upside. SSR (Sellside Reclaim): A bearish signal where price closes below a previously swept lower POC, suggesting follow-through to the downside. 🔶 DETAILS The script aims to bridge the gap between standard OHLCV analysis and order-flow dynamics. While a true footprint engine (available on higher TradingView tiers) is more accurate, this script uses a proxy by aggregating volume from a lower timeframe (e.g., 1-minute) to estimate the POC of higher-timeframe bars. 🔹 Academic Intuition Order-Flow Imbalance (OFI): Short-term price changes are strongly linked to the inability of one side to provide enough depth. A "reclaim" reflects a shift where the dominant side successfully absorbs the liquidity that caused the initial rejection. Salient Prices: High-volume nodes like the POC act as psychological and mechanical barriers. Research indicates that liquidity clusters around these prominent prices, making them significant areas for support/resistance. Stop-Loss Cascades: Sweeps often interact with clustered stop-loss orders. If price reclaims the level after clearing these stops, it can trigger a directional move as the market "clears" the liquidity hurdle. 🔹 Practical Limitations Footprint Proxy: The POC is calculated by aggregating volume at the close of LTF bars. This is a noisy proxy compared to a true footprint, which tracks every tick. Data Snooping: Like all pattern-based indicators, the "Reclaim" logic should be verified with robust backtesting to ensure signals are not the result of random price noise. Repainting: Because the POC depends on LTF data, the values for the current developing bar may fluctuate until the candle closes. 🔶 SETTINGS Lower Timeframe for POC: Sets the granularity for volume aggregation. A lower value (like 1m) provides a more precise POC proxy. Show POC: Toggles the visibility of the calculated Point of Control dots for every bar. Show Sweep Dots: Displays markers at the POC level when a wick interaction occurs without a body close. Show BSR (Buyside Reclaim): Highlights candles that successfully close above a swept buyside POC. Show SSR (Sellside Reclaim): Highlights candles that successfully close below a swept sellside POC.
Pine Script® インジケーター
LuxAlgoの投稿
GSS V2 : Ultra Scalping [DoNotFollowMeGod] User Manual: GSS V2 Ultra Scalping No Repaint! Perfect For: Hardcore Scalpers (Ultra Short Term). Traders who focus on quick entries & exits and high-frequency trading . Mandatory Market Conditions: ✅ Low Volume Only: Best used during low activity periods or slow markets. ✅ Out-Session: Trade during market rests or session overlaps (avoid high-volatility session opens). ✅ Clear Sideway: The market must be ranging clearly , not aggressively making New Highs/New Lows. ❌ AVOID: High-impact news events (Red Folder) or strong trend breakouts . Recommended Settings: Timeframe: M1 / M3 / M5 Band Width (ATR): Adjust the setting to 3.0 - 5.0 (This widens the channel to ensure you only enter when the price is significantly overextended ). Trade Execution Plan: Entry: Enter only when a Signal Arrow appears AND the price touches the Band Edge (ATR 3-5). TP 1 (First Target): "The Grey Dashed Line (Mid Band)" Golden Rule: Once the price hits TP1, you must either take partial profits or move SL to Break Even (BE) immediately! Never let a winning trade turn into a loss. TP 2 (Final Target): "The Dotted Line (Outer Band)" Let the trade run ( Dynamic ) until it reaches the opposite band. 💡 Pro Tip: Since the TP lines are dynamic (moving in real-time with the price action), you should monitor the live price. If you are satisfied with the profit, "Bag it!" — don't wait for the perfect touch if the momentum is fading.
Pine Script® インジケーター
FundedLabの投稿
Ichimoku With GradingDescription: This indicator is an enhanced version of the classic Ichimoku Kinko Hyo, designed to provide traders with an objective, quantitative assessment of trend strength. By breaking down the complex Ichimoku system into specific conditions, this script calculates a "Total Score" to help visualize the confluence of bullish or bearish signals. How It Works The core of this script is a 7-Point Grading System. Instead of relying on a single crossover, the script evaluates 7 distinct Ichimoku conditions simultaneously. The Grading Criteria: Tenkan > Kijun: Checks for the classic TK Cross (1 point if Bullish, -1 if Bearish). Price vs TK/KJ: Checks if the Close is above both the Tenkan and Kijun (Bullish) or below both (Bearish). Future Cloud: Analyzes the Kumo (Cloud) projected 26 bars ahead. If Senkou Span A > Senkou Span B, it is bullish. Chikou Span: The Lagging Span validation. It compares the current Close to the Highs, Lows, and Cloud levels of 26 bars ago to ensure there are no obstacles. Close > Tenkan: Checks immediate short-term momentum. Close > Current Senkou Span A: Checks if price is above the current cloud's Span A. Close > Current Senkou Span B: Checks if price is above the current cloud's Span B. Total Score & Signals: Maximum Score (+7): When all 7 conditions are met, a Green Triangle is plotted above the bar, indicating a strong trend confluence. Minimum Score (-7): When all 7 conditions are negative, a Red Triangle is plotted below the bar. Neutral/Mixed: Scores between -6 and +6 indicate a mixed trend or consolidation phase. Dashboard Features A table is displayed in the top-right corner to provide real-time data: Score Breakdown: Shows the status of every individual metric (1 or -1). Total Score: The sum of all metrics. Distance to Tenkan %: This calculates the percentage distance between the Close and the Tenkan-sen. Usage: Traders often use the Tenkan-sen as a trailing stop-loss level. This percentage helps gauge how extended the price is from the mean; a high percentage may indicate an overextended move, while a low percentage indicates a tight consolidation. How to Use Ichimoku Lines Beyond the grading system, this indicator plots the standard Ichimoku lines, which are powerful tools for price action analysis: Support & Resistance: The Tenkan-sen (Conversion Line) and Kijun-sen (Base Line) act as dynamic support and resistance levels. In a strong trend, price will often respect the Tenkan-sen. In a moderate trend, it may pull back to the Kijun-sen before continuing. The Kumo (Cloud): The edges of the current cloud (Senkou Span A and B) act as major support and resistance zones. A thick cloud represents strong S/R, while a thin cloud is easily broken. Trend Identification: Generally, if the price is above the Cloud, the trend is bullish. If below, it is bearish. If the price is inside the Cloud, the market is considered to be in a noise/ranging zone. Screenshots 1. Bitcoin Daily View: Here you can see the dashboard in action. The grading system helps filter out noise by requiring all conditions to align before generating a signal. 2. Gold (XAUUSD) Example: An example of a bearish confluence where the score hit -7, triggering a sell signal as the price broke through all Ichimoku support levels. 3. Euro (EURUSD) Mixed State: This example shows a market in transition. While some metrics are positive (Green), others are negative (Red), resulting in a score of 4. This prevents premature entries during choppy market conditions. Settings Lengths: All Ichimoku periods (Tenkan, Kijun, Senkou B, Displacement) are fully customizable in the settings menu to fit your preferred timeframe or trading style (e.g., Doubled settings for crypto). Disclaimer: This tool is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk.
Pine Script® インジケーター
abgthecoderの投稿
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering) Description: Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System." The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement. Why this combination? (The Logic Behind the Mashup) Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets. Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary. How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades: Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend). Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend). The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital. Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues: Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly. Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly. Thick Line (HMA): The main line changes color based on the trend. Green: Bullish Confluence. Red: Bearish Confluence. Gray: Divergence/Choppy (No Trade Zone). Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss. Strategy Settings HMA Length: Default is 50 (Mid-term trend). ATR Factor/Period: Default is 3.0/10 (Standard for trend catching). Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree. Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Pine Script® ストラテジー
Gustav_Rexの投稿
3
Trend Follow Line Point📌 Trend Follow Line Point The Trend Follow Line Point indicator removes the confusing, repainting-based swing connections commonly found in traditional swing tools. It maintains consistent swing-point calculation, keeps structural swing lines intact even when trend lines are broken, and integrates market structure + trend + volatility + volume into one intuitive, visual indicator. This tool is designed for: Trend Following Swing Structure Analysis Volatility-Based Entry & Exit Market Strength Evaluation 📊 Component Explanation 🔹 1. Swing High / Swing Low Detection Based on the user-defined sensitivity (swgLen): A Swing High forms when the current high exceeds the previous swgLen highs. A Swing Low forms when the current low falls below the previous swgLen lows. 🔹 2. Swing-Based Structure Lines Connect Swing Highs → Structural visualization Connect Swing Lows → Structural visualization These lines reveal the underlying market structure without repainting or disappearing unexpectedly. 🔹 3. Dynamic ATR + Volume Weighting ATR values combined with the volume ratio (vol / volMA) create a dynamic volatility channel that reflects real-time market pressure. 🔹 4. Enhanced SuperTrend Calculation Uses ATR-based stability to produce more realistic and smoother trend lines, reducing noise and improving signal clarity. 🔹 5. Trend Color Mapping Up Trend → User-selected color Down Trend → User-selected color Visual trend direction and strength can be identified immediately. 🧭 How to Use When Swing Highs/Lows are detected, structure lines are automatically drawn between previous swings. Use these lines to evaluate support/resistance breaks and overall structural direction. Manage risk with volatility guidance: Higher ATR (volume-weighted) → wider trend spacing → increased risk Lower ATR → tighter spacing → reduced risk This helps with position sizing, entry timing, and exit decisions. +
Pine Script® インジケーター
c9indicatorの投稿
GMMG CCM SYSTEM HALMACCI INDICATOR BY KUYA NICKOOVERVIEW: This script is about HALMACCI strategy based on Coach Miranda Miner System (CMM Systems of GMMG). It's an indicator to help traders decide when to enter and exit. This indicator uses Bollinger Band, EMA and ALMA with the length settings used by GMMG. USAGE: Apply the indicator to any chart. Best use in lower timeframes (Ex: 5m and 1m). You may use custom length settings but I suggest to stick with the default settings if you are using CMM System. To enter LONG, If the CCI cross over -100 (shows a green dot when dot is enabled in style) and the EMA cross above ALMA (shows a green cross when cross is enabled in style). You may enter long. Strong confluence when it happens above the Bollinger Band and the candle closed above the Bollinger Band. You may exit when the CCI cross under -100 or immediate resistance. To enter SHORT, If the CCI cross under 100 (shows a red dot when dot is enabled in style) and the EMA cross above ALMA (shows a red cross when cross is enabled in style). You may enter short. Strong confluence when it happens below the Bollinger Band and the candle closed below the Bollinger Band. You may exit when the CCI cross over 100 or immediate support. Use may use alerts to catch breakout events so you would not need to monitor the chart continuously
Pine Script® インジケーター
nccabansag_tradingの投稿
AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool! 📊 What is AllMA Trend Radar? AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style. 💡 The main components of the indicator 📈 Fast and slow moving averages The indicator uses two main lines: - Fast MA (blue line): reacts faster to price changes - Slow MA (red line): smoother, reflects a long-term trend The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market. 🔄 Wide range of moving averages There are more than 30 types of moving averages at your disposal: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - DEMA: double exponential MA - TEMA: triple exponential MA - HMA: Hull Moving Average - LSMA: Moving average of least squares - JMA: Eureka Moving Average - ALMA: Arnaud Legoux Moving Average - ZLEMA: moving average with zero delay - And many others! 🔍 Indicator signals 1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA) Up/Down signals (intersection) - Buy (Up) signal: - What happens: the fast MA crosses the slow MA from bottom to top - What does the green triangle with the "Buy" label under the candle look like - What does it mean: a likely upward trend reversal or an uptrend strengthening - Sell signal (Down): - What happens: the fast MA crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: a likely downtrend reversal or an increase in the downtrend Greater/Less signals (ratio) - Buy signal (Greater): - What happens: the fast MA becomes higher than the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the formation or confirmation of an uptrend - Sell signal (Less): - What happens: the fast MA becomes lower than the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the formation or confirmation of a downtrend 2️⃣ Signals ⚡️ Fast MA (fast MA and price) Up/Down signals (intersection) - Buy signal (Up Fast): - What happens: the price crosses the fast MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a short-term price growth signal - Sell signal (Down Fast): - What happens: the price crosses the fast MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a short-term price drop signal Greater/Less signals (ratio) - Buy signal (Greater Fast): - What happens: the price is getting higher than the fast MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the fast MA, which indicates an upward movement - Sell signal (Less Fast): - What happens: the price is getting lower than the fast MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the fast MA, which indicates a downward movement 3️⃣ Signals 🐢 Slow MA (slow MA and price) Up/Down signals (intersection) - Buy signal (Up Slow): - What happens: the price crosses the slow MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a potential medium-term upward trend reversal - Sell signal (Down Slow): - What happens: the price crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a potential medium-term downward trend reversal Greater/Less signals (ratio) - Buy signal (Greater Slow): - What happens: the price is getting above the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the slow MA, which indicates a strong upward movement - Sell signal (Less Slow): - What is happening: the price is getting below the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the slow MA, which indicates a strong downward movement 🛠 Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals of the same type - Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility - How to set it up: Set a different value for each signal type (default: 3-5 bars) - Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later 2️⃣ Advanced indicator filters 🔍 RSI Filter - What it does: Checks the Relative Strength Index (RSI) value before generating a signal - Why it is needed: it helps to avoid countertrend entries and catch reversal points - How to set up: - For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30) - For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100) - Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed 📊 MFI Filter (Cash Flow Index) - What it does: analyzes volumes and the direction of price movement - Why it is needed: confirms signals with data on the activity of cash flows - How to set up: - For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25) - For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100) - Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed 📈 Stochastic Filter - What it does: analyzes the position of the current price relative to the price range - Why it is needed: confirms signals based on overbought/oversold conditions - How to configure: - You can configure the K Length, D Length and Smoothing parameters - For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20) - For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100) - Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed 🔌 Connecting to trading strategies The indicator provides various connectors to connect to your trading strategies.: 1️⃣ Individual connectors for each type of signal - 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA - 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA - 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA - 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA - 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA - 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals 2️⃣ Combined connectors - 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down) - 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less) - 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less) ❗️ All connectors return values: - 1: buy signal - -1: sell signal - 0: no signal 📚 How to start using AllMA Trend Radar 1️⃣ Selection of types of moving averages - Add an indicator to the chart - Select the type and period for the fast MA (default: DEMA with a period of 14) - Select the type and period for the slow MA (default: SMA with a period of 14) - Experiment with different types of MA to find the best combination for your trading style 2️⃣ Signal settings - Turn on the desired signal types (Up/Down, Greater/Less) - Set the minimum distance between the signals - Activate and configure the necessary filters (RSI, MFI, Stochastic) 3️⃣ Checking on historical data - Analyze how the indicator works based on historical data - Pay attention to the accuracy of the signals and the presence of false alarms - Adjust the settings if necessary 4️⃣ Introduction to the trading strategy - Decide which signals will be used to enter the position. - Determine which signals will be used to exit the position. - Connect the indicator to your trading strategy through the appropriate connectors 🌟 Practical application examples Scalping strategy - Fast MA: TEMA with a period of 8 - Slow MA: EMA with a period of 21 - Active signals: Fast MA Up/Down - Filters: RSI (range 1-40 for purchases, 60-100 for sales) - Signal spacing: 3 bars Strategy for day trading - Fast MA: TEMA with a period of 10 - Slow MA: SMA with a period of 20 - Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less - Filters: MFI (range 1-25 for purchases, 75-100 for sales) - Signal spacing: 5 bars Swing Trading Strategy - Fast MA: DEMA with a period of 14 - Slow MA: VWMA with a period of 30 - Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less - Filters: Stochastic (range 1-20 for purchases, 80-100 for sales) - Signal spacing: 8 bars A strategy for positional trading - Fast MA: HMA with a period of 21 - Slow MA: SMA with a period of 50 - Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less - Filters: RSI and MFI at the same time - The distance between the signals: 10 bars 💡 Tips for using AllMA Trend Radar 1. Select the types of MA for market conditions: - For trending markets: DEMA, TEMA, HMA (fast MA) - For sideways markets: SMA, WMA, VWMA (smoothed MA) - For volatile markets: KAMA, AMA, VAMA (adaptive MA) 2. Combine different types of signals: - Up/Down signals work better when moving from a sideways trend to a directional one - Greater/Less signals are optimal for fixing a stable trend 3. Use filters effectively: - The RSI filter works great in trending markets - MFI filter helps to confirm the strength of volume movement - Stochastic filter works well in lateral ranges 4. Adjust the minimum distance between the signals: - Small values (2-3 bars) for short-term trading - Average values (5-8 bars) for medium-term trading - Large values (10+ bars) for long-term trading 5. Use combination connectors: - For more reliable signals, connect the indicator through the combined connectors 💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
Pine Script® インジケーター
trade_lexxの投稿
Average Entry Price Calculator# Average Entry Price Calculator This powerful indicator helps you track your average entry price across multiple positions, displaying it clearly on your chart with customizable lines and labels. ## Features: • Calculate average entry price for up to 5 different positions • Display current price and profit/loss calculations • Show percentage and absolute change from your average entry • Customizable line styles, colors, and label positions • Track your entry prices with clear visual references ## How It Works: Enter your position details (entry price and amount in USDT), and the indicator will calculate your average entry price, displaying it as a horizontal line on your chart. The indicator also shows your individual entry prices as separate lines, making it easy to visualize your overall position. ## Perfect For: • DCA (Dollar-Cost Averaging) strategies • Position tracking across multiple entries • Risk management and profit taking • Visualizing entry zones on your chart ## Instructions: 1. Add the indicator to your chart 2. Enter your position details (price and amount) 3. Customize the visual appearance as needed 4. Use the displayed average entry line for decision making All calculations are done locally in your browser - no sensitive data is transmitted or stored. Enjoy more informed trading decisions with this essential position tracking tool!
Pine Script® インジケーター
c3smonkeyの投稿
Moving Average Shift WaveTrend StrategyMoving Average Shift WaveTrend Strategy 🧭 Overview The Moving Average Shift WaveTrend Strategy is a trend-following and momentum-based trading system designed to be overlayed on TradingView charts. It executes trades based on the confluence of multiple technical conditions—volatility, session timing, trend direction, and oscillator momentum—to deliver logical and systematic trade entries and exits. 🎯 Strategy Objectives Enter trades aligned with the prevailing long-term trend Exit trades on confirmed momentum reversals Avoid false signals using session timing and volatility filters Apply structured risk management with automatic TP, SL, and trailing stops ⚙️ Key Features Selectable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA Dual-filter logic using a custom oscillator and moving averages Session and volatility filters to eliminate low-quality setups Trailing stop, configurable Take Profit / Stop Loss logic “In-wave flag” prevents overtrading within the same trend wave Visual clarity with color-shifting candles and entry/exit markers 📈 Trading Rules ✅ Long Entry Conditions: Price is above the selected MA Oscillator is positive and rising 200-period EMA indicates an uptrend ATR exceeds its median value (sufficient volatility) Entry occurs between 09:00–17:00 (exchange time) Not currently in an active wave 🔻 Short Entry Conditions: Price is below the selected MA Oscillator is negative and falling 200-period EMA indicates a downtrend All other long-entry conditions are inverted ❌ Exit Conditions: Take Profit or Stop Loss is hit Opposing signals from oscillator and MA Trailing stop is triggered 🛡️ Risk Management Parameters Pair: ETH/USD Timeframe: 4H Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pips Risk per Trade: 2% of account equity (adjustable) Total Trades: 224 Backtest Period: May 24, 2016 — April 7, 2025 Note: Risk parameters are fully customizable to suit your trading style and broker conditions. 🔧 Trading Parameters & Filters Time Filter: Trades allowed only between 09:00–17:00 (exchange time) Volatility Filter: ATR must be above its median value Trend Filter: Long-term 200-period EMA 📊 Technical Settings Moving Average Type: SMA Length: 40 Source: hl2 Oscillator Length: 15 Threshold: 0.5 Risk Management Take Profit: 1.5% Stop Loss: 1.0% Trailing Stop: 1.0% 👁️ Visual Support MA and oscillator color changes indicate directional bias Clear chart markers show entry and exit points Trailing stops and risk controls are transparently managed 🚀 Strategy Improvements & Uniqueness In-wave flag avoids repeated entries within the same trend phase Filtering based on time, volatility, and trend ensures higher-quality trades Dynamic high/low tracking allows precise trailing stop placement Fully rule-based execution reduces emotional decision-making 💡 Inspirations & Attribution This strategy is inspired by the excellent concept from: ChartPrime – “Moving Average Shift” It expands on the original idea with advanced trade filters and trailing logic. Source reference: 📌 Summary The Moving Average Shift WaveTrend Strategy offers a rule-based, reliable approach to trend trading. By combining trend and momentum filters with robust risk controls, it provides a consistent framework suitable for various market conditions and trading styles. ⚠️ Disclaimer This script is for educational purposes only. Trading involves risk. Always use proper backtesting and risk evaluation before applying in live markets.
Pine Script® ストラテジー
PakunFXの投稿