เริ่มกันเลย

แบนด์และแชนแนล

Liquidity-SAJJATLiquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity
อินดิเคเตอร์ Pine Script®
โดย SajjatHossen
Mid-term RibbonWhat the indicator is meant to tell you -Mid-term trend direction (bullish vs bearish) -Trend transitions when the ribbon flips color -Trend strength (wider ribbon = stronger momentum) -Helps traders stay in trends longer and avoid chop Typical use cases -Trend-following entries and exits -Filtering trades in the direction of the ribbon -Visual confirmation for other signals -Swing trading and position trading Colors are customizable Only for educational purposes, no recommendation to buy or sell
อินดิเคเตอร์ Pine Script®
โดย Gartav388637
Polynomial Regression Channel [ChartPrime]⯁ OVERVIEW The Polynomial Regression Channel fits price action using advanced polynomial regression, extending beyond simple linear or logarithmic models. By leveraging matrix calculations, it builds a curved regression line that adapts to swings more naturally. The channel includes extrapolated forward projections, helping traders visualize where price may gravitate in the near future. Midline color shifts reflect directional bias, while prediction ranges are marked with dashed extensions, labeled prices, and a live table for clarity. ⯁ KEY FEATURES Polynomial Regression Core: Uses matrix algebra to calculate a polynomial fit of customizable degree, adapting to complex, non-linear market structures. polyreg(source, length, degree, extrapolate) => total = length + extrapolate X_all = matrix.new(total, degree + 1, 0.0) for i = 0 to total - 1 for j = 0 to degree matrix.set(X_all, i, j, math.pow(i, j)) // y (length × 1), oldest→newest over the fit window y = matrix.new(length, 1, 0.0) for i = 0 to length - 1 matrix.set(y, i, 0, source ) // X_train (first `length` rows of X_all) X_tr = matrix.new(length, degree + 1, 0.0) for i = 0 to length - 1 for j = 0 to degree matrix.set(X_tr, i, j, matrix.get(X_all, i, j)) // OLS via normal equations: (X'X)^(-1)b = X'y ⇒ b = (X'X)^(-1) X'y Xt = matrix.transpose(X_tr) // X' XtX = matrix.mult(Xt, X_tr) // (X'X) Xty = matrix.mult(Xt, y) // X'y XtX_inv = matrix.inv(XtX) // (X'X)^(-1) b = matrix.mult(XtX_inv, Xty) // b = (X'X)^(-1) X'y // Predictions for all rows (fit + extrap) preds = matrix.mult(X_all, matrix.col(b,0)) preds Extrapolated Future Projections: Forward-looking range (dashed lines + circular markers) shows where the fitted polynomial suggests price may move. Dynamic Midline Coloring: Regression midline shifts green when slope turns upward and magenta when slope turns downward, giving instant directional context. Channel Boundaries: Upper and lower levels expand from the midline using a volatility-based offset, framing potential overbought and oversold conditions. Top-Right Data Table: A live table displays Upper, Middle, and Lower Prediction values, updating in real time for quick reference without scanning the chart. ⯁ USAGE Use the regression midline to gauge underlying market bias; green slopes suggest continuation, magenta slopes caution for weakness. Watch dashed extrapolated ranges as potential targets or reaction zones during upcoming sessions. Price labels and table values act as precise reference levels for planning entries, exits, or stop placement. Increase Degree for more curve-fitting on choppy markets, or keep it low for broader trend approximation. Adjust Period and Extrapolate length to balance stability vs. responsiveness. ⯁ CONCLUSION The Polynomial Regression Channel offers a mathematically advanced way to visualize price trends and anticipate future paths. With matrix-driven polynomial fitting, extrapolated projections, and integrated live labels, it combines statistical rigor with practical trading visuals — a robust upgrade over standard regression channels.
อินดิเคเตอร์ Pine Script®
โดย ChartPrime
11
deKoder | VWAP | Volume Weighted Average PriceAn advanced, open-source Volume Weighted Average Price indicator with multi-period anchoring, standard deviation bands, previous period value area extension, comprehensive alerts, and enhanced visual context. This script is a significant upgrade over standard VWAP implementations (including TradingView's built-in VWAP (the basis for this script) and typical community versions). It is designed for experienced intraday, swing, and positional traders who require precise, context-aware mean reference levels with minimal chart clutter. Key Features & Trading Value 1 | Previous Period Value Area Extension Automatically extends the prior anchor period's VWAP and ±1σ bands into the current period as reference lines. Optional translucent fill between the previous ±1σ bands creates a clear "previous value area" zone. Why it matters : The edges of the prior period's value area often act as dynamic support/resistance or mean reversion zones. This visual persistence eliminates manual drawing and provides immediate context for reactions at prior fair value zones. These are especially powerful on intraday charts when using Daily/Weekly/Quarterly anchors. 2 | Comprehensive Approach Alerts Configurable proximity-based alerts trigger when price approaches (from either side) any plotted level: current VWAP, all six deviation bands (±1σ, ±2σ, ±3σ), and previous period VWAP/±1σ value area. Adjustable trigger percentage and minimum bar cooldown prevent alert spam during consolidation. Why it matters : Enables hands-off monitoring of potential mean reversion setups, deviation extremes, or breakout/rejection candidates without constant screen watching. 3 | Additional Professional-Grade Enhancements Flexible Anchor Periods : Daily, Weekly, Monthly, Quarterly (default), Yearly, Decade, Century, plus event-based resets (Earnings, Dividends, Splits). Intelligent Visibility Controls : Hide entire indicator on selected higher timeframes (1H and above). Dynamic distance filter removes off-screen levels (based on % from price). Limit plotting to last X bars for performance and clarity. Real-Time Info Table : Displays current anchor, timeframe, and rounded live values for VWAP and all bands, enabling fast access to precise level values for order placement. Fully customisable position, text size, font (monospace option), and price level decimal rounding. Right-Side Labels with Tooltips : Clean, minimal labels at current levels with hover tooltips allow you to quickly identify the level without cluttering the chart. Customizable Styling : Independently adjustable colours for VWAP and each deviation band pair. Offset support for forward/backward shifting. Recommended Use Cases Intraday Scalping/Mean Reversion : 5m–15m charts with Daily anchor + previous value area as primary reference. Swing Entries : Higher timeframes (1H–4H) using Weekly or Quarterly VWAP for bias, with previous quarter's value area as major confluence. Deviation Trading : Watch for price interaction with ±2σ/±3σ bands combined with approach alerts for potential exhaustion. Institutional Benchmarking : Quarterly/Yearly anchors approximate common institutional VWAP reset periods. Additional Notes Source fixed to hlc3 (industry standard for VWAP). Enjoy cleaner, more contextual VWAP analysis. | | deKoder | | Released December 2025 | Open Source // IF THIS FREE(!) VWAP SCRIPT — OR ANY OF ITS FRIENDS — HAS HELPED YOU BANK SOME COINS... // A COFFEE, LUNCH, OR A FEW SATS GOES A LONG WAY TOWARDS KEEPING THE LIGHTS ON // COFFEE KEEPS THE PINE FLOWING 😉❤️ | FR33FA11 // SOL: 2N8HWPAHSC7Z8SLyneMrZp234UAP9HCtQX7wNXw7LKQC // ETH: 0xE770D254DC579d1db7bA2fe74376b7009527356B // BTC: bc1qd8j3awht5yrjtnvt5dagxldzhaesc83sftype3 // POLYGON: 0xE770D254DC579d1db7bA2fe74376b7009527356B // HYPE: 0xE770D254DC579d1db7bA2fe74376b7009527356B
อินดิเคเตอร์ Pine Script®
โดย FR33FA11
ATR Bands (MA Distance)ATR Bands (MA Distance) plots volatility-based bands at a multiple of ATR away from a selected moving average. Unlike percentage envelopes or standard deviation bands, this indicator measures distance from the moving average using ATR, representing the market’s normal “breathing range” rather than statistical probability. Key Features The center line is a selectable moving average (EMA, SMA, RMA/Wilder, or WMA). Upper and lower bands are calculated as: Moving Average ± ATR × Multiplier Band width automatically adapts to changing market volatility. Designed for consistent use across different markets and timeframes without parameter re-optimization. Non-repainting: all values are calculated only from confirmed historical bars. Intended Use ATR Bands (MA Distance) is best used as a context and preparation tool , not as a direct entry or exit signal. Typical use cases include: Identifying areas where price is extended relative to its recent volatility. Visualizing normal vs. stretched price distance from the moving average. Supporting range-based analysis or trade preparation when combined with other indicators (e.g., oscillators). Important Notes / How NOT to Use This indicator does NOT generate buy or sell signals by itself . Touching or crossing a band does not imply an automatic reversal. In strong trending markets, price may stay outside the bands for extended periods. ATR Bands should not be interpreted as overbought/oversold levels on their own. This indicator does NOT repaint. Once a bar is closed, its values will not change. For best results: Use ATR Bands as a preparation zone, then wait for confirmation from your own entry logic. Disable or ignore band-based mean-reversion ideas during strong trend conditions. Concept Summary (Short) ATR Bands (MA Distance) visualize how far price has moved from its moving average in terms of volatility, without repainting and without relying on percentage deviation or statistical assumptions. Optional Short Description (Preview) Volatility-based, non-repainting ATR bands plotted at a distance from a moving average. Designed for market context and trade preparation — not standalone signals.
อินดิเคเตอร์ Pine Script®
โดย SunnySpots
Nadaraya-Watson Envelope + EMA Filter (Optimized for BTC)Best Way to Use This Nadaraya-Watson EnvelopeThis indicator is not a standalone "holy grail" system — it's a powerful predictive tool that estimates where price is "likely" to go based on historical patterns.Core Idea:The orange line = predicted "fair value" or mean price path The blue cloud = expected range (dynamic support/resistance) Price tends to mean-revert to the orange line Best Practices:Trade bounces in ranging markets:BUY at lower band (green) when price is below orange line SELL at upper band (red) when price is above orange line Target: the orange line or opposite band Trade breakouts in trending markets:If price breaks and closes strongly outside the cloud → potential trend start Wait for pullback to orange line for entry in trend direction Best timeframes:5m–15m: Scalping bounces 1H–4H: Swing trading mean reversion Add confluence for higher win rate:Only take BUY if price is above EMA 200 (uptrend bias) Combine with volume spike or RSI oversold/overbought Use with support/resistance levels Risk management:Stop loss: just outside the envelope Take profit: at orange line or next band enjoy
อินดิเคเตอร์ Pine Script®
โดย DMC1989
Stochastic MAs+ (K Logit Bands)Below is a ready-to-paste **English TradingView publish description** that is detailed enough to satisfy the “Originality & usefulness” and “Description” house-rule expectations. It explains **what is original**, **why the components are combined**, **how they work together**, and **how to use it**, including practical presets and cautions. --- ## Title **Stochastic MAs+ (K Logit Bands) — Extreme-Zone Reversion with Adaptive Percentile Bands** ## Overview This script is a **Stochastic-based extreme-zone tool** designed for traders who want signals that occur **near statistically-defined extremes**, while reducing noise and overtrading. It combines three ideas into one coherent workflow: 1. **Stochastic %K/%D with selectable smoothing MAs** (EMA/ZEMA/SMA/KAMA) 2. **Adaptive Logit Percentile Bands** computed **on %K** (not price) to define “extreme” zones dynamically 3. A **two-step signal workflow** (Touch → Re-entry → First K/D Cross) with **cooldown + invalidation rules** to suppress repeated signals in choppy markets This is not a “mashup for convenience.” The logit-percentile bands and the signal state-machine are explicitly built to **solve a common Stochastic problem**: fixed 20/80 levels are often too generic, and raw K/D crosses can fire repeatedly in ranges. The components here work together to make Stochastic extremes more **context-aware** and signals more **selective**. --- ## What makes it original / useful ### 1) Dynamic extremes based on the oscillator’s own distribution Instead of using fixed 20/80, the script builds **percentile-based bands on transformed %K values**: * **Logit transform** is used to expand sensitivity near 0 and 100 (where Stochastic tends to compress). * A rolling buffer stores recent transformed values. * **Percentiles** (e.g., 15% / 85%) define adaptive low/high bands that respond to changing volatility regimes. Result: “Extreme” zones are **relative to recent market behavior**, which is often more practical than static thresholds. ### 2) A structured signal process to reduce overtrading Classic Stochastic crossovers can spam signals. This script uses a **state-based trigger**: **Long logic** 1. %K drops below the **adaptive low band** (touch/arm) 2. %K re-enters above the low band (re-entry) 3. The first bullish crossover occurs (K crosses above D) while K remains below the mid-band **Short logic** is symmetrical. Then it adds: * **Cooldown**: prevents clustered entries during noisy periods * **Max wait**: invalidates old setups if confirmation takes too long * **Mid-band invalidation**: if K moves too far (crosses mid), the setup is considered late and discarded This turns Stochastic into a **controlled mean-reversion trigger** rather than an always-on crossover machine. --- ## How it works (plain-language) ### A) Stochastic with selectable smoothing (MAK/MAD) * `%K` is computed from the standard Stochastic formula, then smoothed with your chosen MA. * `%D` is computed by smoothing `%K` with a chosen MA. **MA options** * **EMA**: baseline responsive smoothing * **ZEMA**: reduced lag (faster reactions) * **SMA**: heavier smoothing (less noise) * **KAMA**: adaptive smoothing (reacts faster when price moves, slower in noise) ### B) K-based Logit Percentile Bands The script builds bands from **%K**, not from price: * Convert K into logit space → store in rolling buffer * Compute low/high percentiles in logit space * Convert back to 0–100 space with logistic function * Produce: **kLo / kHi / kMid** This keeps the bands stable and meaningful even when volatility changes. ### C) Signal state-machine * **Touch**: K enters extreme zone * **Re-entry**: K exits the extreme zone * **Trigger**: first K/D cross after re-entry, while still in the “early” half of the band (before mid) The idea is to catch reversals **early**, but not on the very first noisy bounce. --- ## How to use ### 1) Baseline setup (recommended starting point) These defaults are already aligned with the script’s intent: * Stoch: **21 / 3 / 7** * Bands: **bandLen 200**, **low/high 0.15/0.85**, **logitGain 1.0** * Signals: **cooldown 8**, **maxWait 24**, **Use D Direction Confirm ON** This typically produces fewer, more selective signals than traditional 14/3/3 style settings. ### 2) Interpreting the plots * **%K (purple)** and **%D (yellow)** are the smoothed oscillator lines. * **kLo / kHi / kMid** are the adaptive bands. * Labels: * **“L”** appears near the low band when a long setup completes * **“S”** appears near the high band when a short setup completes ### 3) Practical trading workflow * Prefer using signals as **timing cues**, not as a complete strategy by themselves. * Many traders combine this with: * a trend filter (e.g., EMA200 direction) * a volatility filter (avoid low-vol chop) * or higher timeframe confirmation The script is designed to give **high-quality entry timing near extremes**, but you still need a trade plan for exits and risk management. --- ## Tuning guide (fast) ### Want signals closer to extremes (more selective)? * Decrease / increase percentiles: * lowPct **0.12** and highPct **0.88** * Increase logitGain slightly: * logitGain **1.1–1.2** * Increase cooldown: * cooldown **10–14** ### Want earlier signals (faster confirmations)? * Use faster MA for %D (or reduce periodD): * maD = **ZEMA** (or EMA) * Reduce cooldown a bit: * cooldown **5–8** ### Getting too many signals in ranges? * Increase periodK to reduce chop: * periodK **34** * Increase cooldown * Keep D confirm enabled --- ## Strengths * **Adaptive extreme zones**: bands adjust to changing regimes (better context than static 20/80) * **Reduced noise**: the Touch→Re-entry→Cross structure avoids many “random” crosses * **Configurable smoothing**: lets you tune response vs stability via MA type * **Risk-friendly by design**: cooldown + invalidation reduce repeated entries during chop ## Limitations * **Not a full strategy**: no position management, take-profit/stop rules, or trend filter included * **Mean-reversion bias**: in strong trends, Stochastic can stay overbought/oversold for long periods * **Band buffer needs history**: percentile bands are more reliable after enough bars have accumulated (bandLen) --- ## Notes on repainting / confirmations * The percentile band buffer uses **confirmed bars** (optional) to avoid unstable band updates during an incomplete candle. * Signal labels are plotted when the full signal conditions are met (you can enforce confirmed-bar signals via settings). --- ## Suggested disclaimer (TradingView-friendly) This indicator is for research and educational purposes and does not constitute financial advice. Always test settings on your market/timeframe and use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย illbecmo
London Session + EMA 200 + UT BotCombined trading indicator featuring three powerful tools:🔵 London Session Box - Highlights the London trading session (0700-1600) with a customizable colored box to identify high-volume trading periods📈 EMA 200 - Exponential Moving Average for trend identification and dynamic support/resistance levels🎯 UT Bot - ATR-based trailing stop indicator with buy/sell signals and bar coloring for trend following
อินดิเคเตอร์ Pine Script®
โดย tradesempire07
1
mncl's SL_TP FInderWe are all used to using the ATR to estimate the stop loss or take profit. So I wondered if there is another way since I found the ATR a little too far sometimes. In this script, i combine other ways of finding your take profit or stop loss. These can be found in the settings. I also include a way to estimate the amount of money to risk per trade. Have a go at it and let me know if you found it useful. - mncl -
อินดิเคเตอร์ Pine Script®
โดย mncl_02
1
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System) 🎯 What This Indicator Does This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals. 📊 Core Concept & Methodology Volume Anomaly Detection The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes. Z-Score Formula: Z = (Current Volume - Average Volume) / Standard Deviation When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation. Dynamic Trend Filter A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction: Price above lower band = Uptrend Price below upper band = Downtrend Signal Logic Volume anomaly detected during an existing trend Trend reversal confirmed within the confirmation window Signal generated = BUY or SELL label appears ⚙️ Settings Explained SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length 📖 How To Use Entry Signals BUY: Green label appears below bar - consider long positions SELL: Red label appears above bar - consider short positions Volume Anomaly Markers (⬥) Small diamonds indicate detected volume spikes These are early warnings before confirmed signals Useful for anticipating potential reversals Trend Bands Colored zones show active signal direction Stay with the trend until opposite signal appears Best Practices Confirm with price action - Look for support/resistance levels Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended Manage risk - Always use stop losses Avoid ranging markets - Best in trending/volatile conditions ⚠️ Important Notes No indicator is perfect - Use as part of a complete trading strategy Volume data required - Will show warning if volume unavailable Not financial advice - Always do your own research 🔔 Alerts Available BUY Signal Confirmed SELL Signal Confirmed Volume Anomaly (Buy Setup) Volume Anomaly (Sell Setup)
อินดิเคเตอร์ Pine Script®
โดย A1TradingHub
6
Vegas Double ChannelThe indicator utilizes the 144 and 169 channels as the minor level, and the 576 and 676 channels as the major level. The EMA12 serves as a filter. Translation for the complete definition of the “Vegas Double Channel” indicator: The “Vegas Double Channel” indicator is designed to analyze market trends and identify potential trading opportunities. It employs the following parameters: Minor Level: The indicator considers the 144 and 169 channels as the minor level, which are used to identify short-term market movements. Major Level: The 576 and 676 channels are classified as the major level, indicating longer-term market trends. Filter: The EMA12 (Exponential Moving Average with a period of 12) acts as a filter to smooth out short-term noise and provide a clearer picture of the overall market trend.
อินดิเคเตอร์ Pine Script®
โดย daves723
CUSUM Volatility BreakoutCUSUM Volatility Breakout A statistical trend-detection and volatility-breakout indicator that identifies subtle momentum shifts earlier than traditional tools. OVERVIEW The CUSUM control chart is a statistical tool designed to detect small, gradual shifts from a target value. In trading, it helps identify the early stages of a trend, giving traders a heads-up before momentum becomes obvious on standard price charts. By spotting these subtle movements, the CUSUM Volatility Breakout indicator (CUSUM VB) can highlight potential breakout opportunities earlier than traditional indicators. In other words, a statistical trend detection & breakout indicator. Copyright © 2025 CoinOperator HOW IT WORKS CUSUM VB uses a combination of differenced price series, volume normalization, and dynamic control limits: CUSUM Principle: Tracks cumulative deviations of price from a zero reference. Signals occur when cumulative deviations exceed a control limit shown on the chart and clears any enabled filters. Adaptive Volatility: H adjusts automatically based on short- vs long-term ATR ratios, allowing faster detection during volatile periods and reduced false signals in calm markets. Volume Weighting (optional): Amplifies price CUSUM values during high-volume bars to prioritize market participation strength. ATR Confirmation (optional): Ensures breakouts are accompanied by expanded volatility. Bollinger Band Squeeze Integration (optional): Confirms trend breakouts by detecting volatility contraction and release shown on the chart as triangles. Signals: Arrows on the price chart mark the bars where trades are actually filled, based on conditions detected on the prior signal bar. Long Entry: Confirmed positive CUSUM breach (price & volume) with BB breakout (signal bar). Short Entry: Confirmed negative CUSUM breach (price & volume) with BB breakout (signal bar). Exit Signals: Triggered automatically by opposite-side signals. Alerts, when created, fire on the bars where fills occur. CHART COMPONENTS CUSUM Upper Price (CU Price) and CUSUM Lower Price (CL Price) are green/red circles for confirmed signals. ● Rapid upward accumulation of CU Price indicates a developing bullish trend. ● Rapid downward accumulation of CL Price indicates a developing bearish trend. Decision/Control limits (UCL/LCL, red) Zero line (reference for the differenced price series baseline) Optional BB triangles and volume CUSUM SETUP AND CONFIGURATION Differenced Price Series Differenced Price Length and Lag Increase differencing lag or window length → Increases variance of residuals → Wider control limits (UCL/LCL) → Slower to trigger. Decrease lag or window → Tighter limits, more responsive to short-term regime shifts. CUSUM Parameters Volume-Weighted CUSUM NOTE : Uses price length if 'Confirm Price with Volume' is disabled, otherwise will use volume length. Amplifies CUSUM price responses during high-volume bars and reduces them during low-volume bars. This links trend detection to market participation strength. Volume-Weighted CUSUM doesn’t replace price confirmation with volume; it modulates it by volume intensity, amplifying price signals when participation is strong and suppressing them when weak. Recommended when analyzing assets with consistent volume patterns (e.g., stocks, major futures). Disable for low-liquidity or irregular-volume instruments (e.g., crypto pairs, small-cap stocks). ATR Confirmation Enable this feature to confirm CUSUM signals only when price deviations are accompanied by higher-than-normal volatility. The indicator compares current ATR to a smoothed ATR to detect volatility expansion. This helps distinguish true breakouts from low-volatility noise and reduces false signals during quiet periods. Adjust the ATR lookback length, smoothing length, and expansion factor to control sensitivity. Rule of thumb: ATR Length ≈ 0.5 × differenced price length to 1.5 × differenced price length gives balanced sensitivity. ATR Smoothing 5–10 bars. ATR Expansion 5% to 50%. CUSUM Input Mode Select how CUSUM processes differenced price and log-normalized volume — either directly (Txfrm Data) or as deviations from a short-term EMA baseline (Residuals): Txfrm Data = transformed input: differenced price & log-normalized volume as input for CUSUM (larger swings, more frequent control limit breaches) Residuals = deviation from short-term EMA baseline (smaller swings, fewer control limit breaches, but higher signal quality). Residual EMA Length: Defines how quickly the residual baseline adapts to recent differenced price moves. Shorter = more reactive; longer = smoother baseline. Keep EMA length moderate; over-smoothing can distort timing. Control Sensitivity (K) Increase K → Less sensitive → CUSUM accumulates slower → Fewer signals, captures only major trends. Decrease K → More sensitive → CUSUM accumulates faster → More signals, captures minor swings too. Reset Mode : Method of resetting CUSUM values. Immediate Reset: Reset both immediately after any signal breach. Traditional SPC. Opposite-Side Reset: Reset only the opposite side when a valid signal fires. Best for ongoing trend tracking. Decay Reset: Gradually reduce CUSUM values toward zero with a decay factor each bar. Maintains trend memory but allows slow “forgetting.” Threshold Reset: Reset only if CUSUM returns below a small threshold (10 % of H). Filters noise without full wipe. No Reset / Continuous: Never reset; instead track running totals. Long-term cumulative bias measurement. Conflict Handling : Method of handling conflicting signals. Ignore Both: Discards both when overlap occurs. Prioritize Latest: Chooses the direction implied by the most recent close. Prioritize Stronger: Compares absolute magnitudes of CU Price vs CL Price. Average Resolve: Looks at the difference; small overlap → ignore, otherwise pick direction by sign. Sequential Confirm: Requires N consecutive same-direction signals before confirmation. Volume Parameters (Optional) Amplification Factor Adjusts volume sensitivity and effectively rescales the log series of volume to a comparable magnitude with price changes. Since price and volume are normalized in a compatible way, the amplification factor is used instead of independent K and H values for volume. Bollinger Bands (Optional) Lookback Synchronization BB Lookback (for CUSUM): Number of bars that define a window for the BB signal to look back for the CUSUM signal. CUSUM Lookback (for BB): Number of bars that define a window for the CUSUM signal to look back for the BB signal. Both can be enabled for stricter alignment. Relationship Between K, H, ARL₀ and ARL₁ H (max) is usually the only H you need to adjust. With everything else being constant, increasing either K or H (max) generally increases both ARL₀ and ARL₁ : higher thresholds reduce false alarms but slow detection, and lower thresholds do the opposite. Increase Min Target ARL ratio → ARL₀ increases (safer, fewer false alarms) ARL₁ decreases or stays small (faster detection) Control limits slightly expand to achieve separation Strategy becomes more selective and stable Decrease Min Target ARL ratio → ARL₀ decreases (more false alarms tolerated) ARL₁ increases (slower detection tolerated) Control limits tighten Strategy becomes more sensitive but lower quality The ARL Ratio of ARL₀ / ARL₁ is typically between 3 and 8. This implies you want your ARL₀ (false-alarm interval) ≈ 'Min Target ARL ratio' × differenced price length window. Example: "Min Target ARL ratio = 4.0" ⇒ implies you want your ARL₀ (false-alarm interval) ≈ 4 × differenced price length. Assume price length = 50 (typical differencing window). ARL ratio = 4.0 → target ARL = 4 × 50 = 200 bars. ● On a 6-hour chart (≈4 bars/day) → ~50 days between expected false alarms (on average). ● On a daily chart → ~200 trading days between false alarms (very conservative). ARL ratio = 8.0 → target ARL = 400 bars → twice as infrequent signals vs ratio=4. ARL ratio = 2.0 → target ARL = 100 bars → about half the inter-signal interval. Another way to think about it: probability of a false alarm on any bar ≈ 1 / target ARL. If you want ~1% of bars producing alarms, target ARL ≈ 100. QUICK START Start with the defaults. Set price series → length/order/lag Configure CUSUM thresholds → K, H min/max 1. Adjust the price differencing lag/window. 2. Verify that it captures real price inflection points without overreacting to bar noise. Enable optional filters → Volume, ATR, BB The optional Bollinger Bands squeeze usually works best if used with CUSUM Input Mode = Txfrm Data. Monitor CUSUM chart → CU Price, CL Price, thresholds, zero line Act on signals → data window / chart triangles Adjust sensitivity → H (max), K, lengths Monitor ARL ratio and CUSUM behavior for fine-tuning Note : When you’ve finalized the length, lag, and order of the Price Difference, as well as the Ln(Vol) Series of “Confirm Price with Volume” if enabled, then pass both through the Augmented Dickey–Fuller (ADF) mean reversion test to ensure they are stationary, i.e., mean reverting. You can find a ready-made indicator for such use at . Many thanks to tbtkg for this indicator. SUMMARY CUSUM VB combines CUSUM statistical control, volatility-adaptive thresholds, volume weighting, and optional BB breakout confirmation to provide robust, actionable signals across a wide variety of trading instruments. Why traders use it : Fast detection of shifts, reduced false alarms, versatile across markets. Ideal for : Futures (continuous contracts), forex, crypto, stocks, ETFs, and commodity/index CFDs, especially where: ● Price and volume data exist ● Breakouts and volatility shifts are tradable ● There’s enough liquidity for meaningful signals Visualization : Upper/lower CUSUM circles, UCL/LCL thresholds, optional highlight traded background, optional volume and BB overlays on the chart, optional entry/exit labels on the price chart, as well as entry/exit signals in the data window. Alerts : For entry/exit labels when trades are actually filled. CUSUM VB is designed for traders who want statistically grounded trend detection with configurable sensitivity, visual clarity, and multi-market versatility. DISCLAIMER This software and documentation are provided “as is” without any warranties of any kind, express or implied. CoinOperator assumes no responsibility or liability for any errors, omissions, or losses arising from the use or interpretation of this software or its outputs. Trading and investing carry inherent risks, and users are solely responsible for their own decisions and results.
อินดิเคเตอร์ Pine Script®
โดย CoinOperator
4
Daily Percentage Oscillator### Daily Percentage Oscillator – Indicator Description The **Daily Percentage Oscillator** transforms intraday price action into a clean, normalized percentage-based view, using the previous trading day's closing price as the fixed 0% baseline. Each new trading day automatically resets the axis to that prior close, allowing you to visualize true daily price oscillation without the distortion of absolute price levels or cumulative trends. Key features: - **Percentage-based OHLC display**: All bars or candlesticks represent percentage change from the previous day’s close, creating a consistent oscillation around the 0% line. - **Daily reset**: The baseline updates every session, making it ideal for intraday traders focusing on relative strength, mean reversion, or daily momentum patterns. - **Toggle between bars and candlesticks**: Choose your preferred visual style. - **Simple Moving Average (SMA)**: Optional SMA applied directly to the percentage close values (default 20-period, fully customizable). - **Daily-resetting VWAP**: Volume-Weighted Average Price calculated on the percentage series, resetting at the start of each trading day for precise intraday anchoring. - **Clean presentation**: No clutter from scale labels or status line values — only the essential visuals appear in the pane. This indicator is particularly useful for: - Comparing intraday momentum across different assets or timeframes on equal footing. - Identifying overbought/oversold conditions relative to the prior close. - Enhancing mean-reversion and range-bound trading strategies. - Overlaying percentage-based anchors (SMA, VWAP) that respect the daily session structure. Works on any intraday timeframe (1m, 5m, 15m, etc.) and is designed to stay lightweight and responsive. Perfect for day traders and scalpers seeking a clearer, more intuitive view of daily price behavior.
อินดิเคเตอร์ Pine Script®
โดย robw888
LTF Distribution Analyzer█ OVERVIEW LTF Distribution Analyzer reveals the hidden price distribution and order flow within each candle by sampling lower timeframe data. It visualizes where prices concentrated, how volume was distributed between buyers and sellers, and identifies divergences between price action and actual market participation. Unlike traditional candlesticks showing only OHLC, this indicator exposes the statistical structure of price movement using quartile-based visualization combined with delta analysis. █ CONCEPTS The indicator is built on two core concepts: 1 — Statistical Price Distribution Each candle contains many lower timeframe bars. By analyzing these bars, we calculate: • Q1 (25th percentile) - 25% of prices traded below this level • Q3 (75th percentile) - 75% of prices traded below this level • Median - The middle price value • IQR (Interquartile Range) - The Q3-Q1 spread containing 50% of all prices 2 — Volume Delta Analysis Delta measures buying vs selling pressure: • Delta = Buy Volume − Sell Volume • Positive delta = More aggressive buying • Negative delta = More aggressive selling • Delta Ratio normalizes this as a percentage █ HOW IT WORKS The indicator fetches lower timeframe data using request.security_lower_tf() and processes it to create a statistical summary: Step 1: Timeframe Calculation • Auto mode: Chart timeframe ÷ Auto Divisor = LTF • Example: 1H chart ÷ 1000 = ~3.6 second sampling • Manual mode: User-specified timeframe Step 2: Data Collection • Collects all close prices from LTF bars within current candle • Aggregates volume by candle direction (bullish/bearish) Step 3: Statistical Analysis • Calculates quartiles (Q1, Q3), median, and boundaries • Identifies outliers using 1.5× and 3× IQR fences • Finds Volume POC (price with highest volume) Step 4: Delta Calculation • Sums buy volume (from bullish LTF bars) • Sums sell volume (from bearish LTF bars) • Computes delta ratio for color determination █ VISUAL ELEMENTS ┌─────────────────────────────────────────┐ │ ▲ Extreme outlier (3× IQR) │ │ △ Mild outlier (1.5× IQR) │ │ ─ Upper whisker cap │ │ ┊ Whisker line (dashed) │ │ ▄ IQR Box (Q1 to Q3 range) │ │ ━ Volume POC (highest volume) │ │ ● Median (green=bull, red=bear) │ │ ┊ Whisker line (dashed) │ │ ─ Lower whisker cap │ │ ▽ Mild outlier │ │ ▼ Extreme outlier │ └─────────────────────────────────────────┘ █ COLOR SYSTEM Colors indicate the relationship between candle direction and order flow: 🟢 TEAL (Positive Flow) Bullish candle + Positive delta → Strong buying confirmation → Trend continuation signal 🔴 RED (Negative Flow) Bearish candle + Negative delta → Strong selling confirmation → Trend continuation signal 🟠 ORANGE (Mixed Signal A) Bullish candle + Negative delta → Price up but sellers dominated → Potential weakness/reversal warning 🔵 BLUE (Mixed Signal B) Bearish candle + Positive delta → Price down but buyers dominated → Potential accumulation/reversal signal █ SETTINGS Timeframe Settings • LTF Mode — Auto or Manual selection • Manual Timeframe — Specific LTF when in Manual mode • Auto Divisor — Higher = finer granularity (default: 1000) • Allow Sub-Minute — Requires Premium subscription Visual Style • Positive/Negative Flow colors — Customize the 4 flow colors • Box Transparency — Opacity of the quartile box (0-100%) Statistics Display • Show Statistics Panel — Toggle on-chart stats table • Show Timeframe Badge — Toggle LTF indicator badge • Panel Position — Choose corner placement • Panel Size — Text size selection █ HOW TO USE 1. Divergence Detection Look for color mismatches: • Orange bars in uptrend = weakness, potential reversal • Blue bars in downtrend = strength, potential reversal • Multiple consecutive divergent bars strengthen signal • Wait for confirmation before entry 2. Volume POC Trading • POC marks where most volume traded • POC clusters at similar levels = strong S/R zone • Price often returns to POC before continuing • Use POC for entry/exit targeting 3. Trend Confirmation • Consecutive teal = strong uptrend • Consecutive red = strong downtrend • Median position shows intrabar momentum • Wide boxes indicate high volatility 4. Outlier Analysis • Extreme markers (▲▼) often mark stop hunts • Consider fading extremes at key levels • Mild markers (△▽) = areas to watch █ RECOMMENDED SETTINGS For different chart timeframes: │ Chart TF │ Auto Divisor │ Resulting LTF │ ├──────────┼──────────────┼───────────────┤ │ 15M │ 1500 │ ~1M │ │ 1H │ 1000 │ ~3-4s │ │ 4H │ 600 │ ~24s │ │ Daily │ 500 │ ~2-3M │ Tip: Check the TF badge to confirm active sampling timeframe. █ BEST PRACTICES Do: ✓ Use "Bars" chart style for cleanest display ✓ Combine with support/resistance analysis ✓ Wait for confirmation bars ✓ Note POC clusters across multiple bars ✓ Adjust divisor based on your timeframe Avoid: ✗ Trading single bar signals alone ✗ Using during low volume periods ✗ Trading immediately after news releases ✗ Ignoring overall market context █ LIMITATIONS • Requires adequate market liquidity for reliable signals • Sub-minute timeframes need Premium subscription • Historical data depth depends on TradingView's data availability • Delta calculation assumes volume direction matches candle direction █ NOTES This indicator works best on liquid markets (forex majors, major indices, popular stocks/crypto) where volume data is meaningful. The gray dotted vertical line marks where LTF data becomes available - bars before this line won't display the indicator. For questions or suggestions, leave a comment below.
อินดิเคเตอร์ Pine Script®
โดย A1TradingHub
Wedge Green SquadWedge GS automatically detects confirmed swing highs and lows and draws clean wedge trendlines directly from the true pivot bars. The indicator uses non-repainting pivots and extends the lines forward to highlight contracting price structures, potential breakouts, and compression zones. Designed for traders who value structure over noise, it works best on higher timeframes and pairs naturally with support, resistance, and volume analysis. This tool focuses on clarity and reliability, not prediction.
อินดิเคเตอร์ Pine Script®
โดย Green_Squad