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Volatility Shape Classifier [AGPro Series]Volatility Shape Classifier 🔹 Overview Volatility Shape Classifier is a context and diagnostics tool that does not stop at telling you whether volatility is high or low. Instead it classifies the SHAPE of that volatility on every bar — Smooth, Chaotic, Choppy, Drift, or Dead — using three independent dimensions combined into a single regime read. The result is a continuous visual narrative made of a subtle background tint, throttled transition badges, and a compact metrics panel. It is designed to sit on your chart as a pure awareness layer. It does not generate buy or sell signals and it is not a trading strategy. 🔷 Unique Edge Most volatility tools compress the market into one axis — high vs low (ATR, Bollinger Band Width), or trend vs range (Choppiness Index, ADX). They answer half of the question. This script asks three questions at once and fuses the answers: 1. Magnitude — is ATR above or below its own long baseline? 2. Smoothness — are bar-to-bar moves consistent in size, or erratic? 3. Directional Consistency — do bars point the same way, or cancel each other? Only the combination of these three can distinguish a controlled trend run (Smooth) from a violent whipsaw (Chaotic) from a wide directionless thrash (Choppy) — all three of which can show identical ATR readings. That shape distinction is the core value this script adds, and it is the gap left by standard volatility and chop indicators. 🔶 Methodology Engine layer (per bar): • Volatility Level = ATR(volLen) / SMA(ATR, volLen * 3) • Smoothness = StDev(|close − close |) / SMA(|close − close |) over volLen • Direction = |sum(close − close )| / sum(|close − close |) over volLen Classification layer maps the three readings into six mutually exclusive codes: 0 — Forming (warm-up / in-between space, no tint) 1 — Expansion · Smooth (high vol, low CV, directional) 2 — Expansion · Chaotic (high vol, high CV) 3 — Expansion · Choppy (high vol, low direction) 4 — Low-Vol · Drift (low vol, low CV, mild direction) 5 — Low-Vol · Dead (low vol, low CV, no direction) Stability layer applies a configurable Confirmation Bars window so a new shape must persist for N consecutive bars before the chart commits to it. This prevents single-bar flicker. Between-state readings do not reset the current shape, they hold it — avoiding the classic "blink to neutral" problem of switch-based classifiers. 🔸 Signals & Alerts Four alert conditions are published: • Shape Shifted to Smooth Expansion • Shape Shifted to Chaotic Expansion • Shape Shifted to Choppy Expansion • Shape Collapsed (any expansion state falling into low-vol Drift or Dead) Alerts fire only on confirmed shape transitions and only on bar close, so repaint on the signal bar is not a concern. 🔹 Key Inputs • Volatility Length — window for ATR, smoothness, and direction (default 20) • Confirmation Bars — persistence requirement before committing to a new shape (default 3) • Badge Cooldown — minimum bars between visible badges (default 15; tint updates continuously regardless) • Panel Position / Size — six anchor points, four size presets • Badge Font Size — four size presets 🔷 How to Use • Use the SHAPE read as a setup filter, not as the signal itself. Smooth Expansion is where trend-following tools tend to perform well. Chaotic and Choppy Expansion are where they tend to fail even when the raw volatility reading looks attractive. • The Drift state often precedes an expansion in the direction of the drift. • The Dead state is a compression warning — a shape collapse alert from Expansion into Dead is a common precursor to a fresh expansion move in either direction. • Pair with your own entry logic (structure, moving averages, volume). This tool answers "what kind of market am I in right now?" — it does not answer "where do I enter?" 🔶 Limitations & Transparency • Thresholds (1.15x / 0.70x / 0.80 / 1.10 / 0.18) were tuned on crypto and FX data across 15m to 1D timeframes. Very illiquid instruments and very low timeframes (< 5m) may require a longer Volatility Length. • Shape classification is inherently backward-looking (it reads the last volLen bars). It describes the character of recent volatility, not future volatility. • The script is a context layer. It is not a strategy and should not be used in isolation for trade decisions. • Past behavior of a shape does not guarantee future behavior. 🔸 Risk Disclosure This indicator is an educational and analytical tool. It does not constitute financial advice, trade recommendations, or a signal service. All trading involves risk. You are solely responsible for your own trading decisions.
อินดิเคเตอร์ Pine Script®
โดย AGProLabs
Kaufman Efficiency Ratio Gate [NovaLens]Kaufman Efficiency Ratio Gate is a regime classifier that separates trending markets from choppy ones. Instead of plotting a raw ratio and leaving you to interpret thresholds, it ranks the current Kaufman Efficiency Ratio within its own recent history and outputs a binary gate: trend-favorable or chop-dominant. Five timeframe-specific presets ship ready to use - pick the one matching your chart. ◉ HOW IT WORKS The Efficiency Ratio measures how much of price's total movement was directional over N bars: ER = |Close - Close(N)| / Σ|Close(i) - Close(i-1)| A value near 1.0 means price moved in a straight line - maximum efficiency. A value near 0 means price covered distance but went nowhere net - noise. Perry Kaufman introduced this in "Trading Systems and Methods" (1995) as the foundation for his Adaptive Moving Average. Raw ER values are hard to threshold because what counts as "efficient" varies by asset and timeframe. This gate solves that with a three-stage pipeline: • Light EMA smoothing - removes single-bar noise from the raw ER without adding meaningful lag (Smoothing = 2 for most presets). • Percentile rank - ranks the smoothed ER within its own rolling window. A reading at the 70th percentile means the current efficiency is higher than 70% of recent history. This is what makes the gate self-normalizing. A "trending" efficiency ratio for Gold might sit at 0.45, while for a volatile altcoin it might be 0.25 - the gate adjusts automatically to each asset's own baseline, so you never need to guess at fixed thresholds. • Symmetric hysteresis - the gate opens when rank crosses above the median + Stability/2, and closes when rank drops below the median - Stability/2. This prevents flicker at the boundary. A small buffer (Stability = 2) is enough because KER is already a clean ratio. Other regime tools approach this differently. ADX measures trend strength through smoothed directional movement - it tells you how strong a trend is, but its fixed scale means a reading of 25 carries different weight on different instruments. The Choppiness Index compresses ATR relative to the window's price range into a 0-100 scale - useful, but sensitive to window length and not inherently normalized. The Efficiency Ratio takes a more direct route: what fraction of total movement was net directional? And the percentile-rank layer on top makes that reading self-normalizing across any asset or timeframe - no manual threshold tuning required. The result is a binary state: trend-favorable (gate open) or chop-dominant (gate closed). ◈ HOW TO READ IT • Teal background / teal hero line - Gate open. The market's directional efficiency is above its recent median. Trend-following setups tend to perform better in this environment. • Amber background / amber hero line - Gate closed. Efficiency is below the median - price is moving but not going anywhere. Trend-following setups historically tend to underperform in this environment. • Bright teal (strong trend) - Smoothed KER is in the top 25% of its recent rank window. The trend is unusually clean - continuation setups tend to be cleaner in this state. • Bright amber (strong chop) - Smoothed KER is in the bottom 25%. Noise is dominant - even range-bound strategies may find fewer clean entries. Generally a low-opportunity environment. The info panel (top-right) shows the current gate state, smoothed KER value, percentile rank, and a momentum readout (strengthening / weakening / stable) based on how the rank has moved over the last few bars. ✦ HOW WE USE IT - REGIME FILTER In systematic trading, the Efficiency Ratio often serves as one of the regime filters applied before a trend-following signal gets capital allocation. The idea is to confirm that the market is actually trending efficiently, not just moving. When the gate is open (teal), directional efficiency is elevated. Pullback entries, breakout continuations, trend-following MA crosses - these setups tend to perform better because price is converting movement into net progress. When the gate closes (amber), the same setups historically tend to underperform. Price is volatile but going nowhere. In choppy regimes, trend-following systems generally struggle, and while mean reversion may be more favorable, it remains a harder environment to trade overall. Many systematic traders use this kind of regime awareness to reduce exposure or adjust position sizing rather than forcing directional bets. The gate works well as a context overlay alongside other entry signals. It doesn't indicate which direction to trade, but it helps characterize whether the current environment is rewarding directional movement at all. What the gate is NOT: a forward predictor. It classifies the recent past. A gate-open reading means efficiency has been high - it doesn't guarantee the next bar will trend. It's a filter, not a crystal ball. ◆ OTHER APPLICATIONS • Entry filter - pair with any trend-following signal (MA cross, breakout, RSI) and add a gate-open condition. Filtering out chop regimes can help reduce whipsaw entries. • Multi-timeframe confirmation - checking the gate on a higher timeframe before entering on a lower one can add confidence. For example, a Daily gate-open reading alongside a 4H trend entry. • Regime-aware sizing - some traders scale position size with regime state, increasing exposure during gate-open periods and reducing it when the gate closes. • Alert-driven workflow - set alerts on gate open/close transitions and check your trend setups only when the gate fires. ⚙ SETTINGS Preset (default: Daily) - Timeframe-specific parameter bundles. Select the one matching your chart resolution: • Weekly - KER 10, Smoothing 2, Rank Window 100, Stability 2. Long context window for position traders. • Daily - KER 8, Smoothing 2, Rank Window 50, Stability 2. The default. Works well on most daily charts. • 8H - KER 8, Smoothing 2, Rank Window 50, Stability 2. Starting point same as Daily - validate on your own 8H charts. • 4H - KER 14, Smoothing 2, Rank Window 30, Stability 2. Wider KER period compensates for noisier intraday data. • 30m - KER 5, Smoothing 5, Rank Window 30, Stability 2. Short KER period with heavier smoothing for fast charts. • Custom - Drive the gate from the four inputs below. KER Period - Lookback for the raw Efficiency Ratio. Shorter (5-8) reacts faster to regime changes. Longer (14-20) gives more stable readings but lags transitions. Smoothing - EMA applied to the raw KER. Set to 1 for no smoothing. KER is self-normalizing by construction, so low values (1-5) are usually enough. Rank Window - Rolling window for the percentile rank. Controls how much recent history defines "typical." Shorter windows adapt faster; longer windows give more stable context. Stability - Hysteresis half-width around the 50th percentile. At 0, the gate flips the instant rank crosses the median. At higher values, the gate requires a stronger signal to switch state. Low values (2-5) work well since KER is already a clean signal. Display toggles: • Show Raw KER - thin white line showing the unsmoothed ratio • Show Median - 50th-percentile reference line on the smoothed KER • Show Background - teal/amber background wash (turn off if your workspace already signals the regime elsewhere) • Show Info Panel - gate state, KER, rank, and momentum readout • Light Theme - flips panel colours for light chart backgrounds △ LIMITATIONS • Backward-looking - the gate classifies recent efficiency, not future direction. Regimes can shift faster than the rank window catches, especially around news events. • Directionless - both strong uptrends and strong downtrends produce gate-open readings. A separate directional indicator is needed to determine which side to trade. • Noise on thin instruments - short KER periods on low-volume assets can produce noisy readings even with smoothing. • History requirement - percentile rank needs sufficient data to be meaningful. The first ~50-100 bars on any chart (depending on preset) will have unstable rankings. ⌁ NOTES • Based on Perry Kaufman's Efficiency Ratio from "Trading Systems and Methods" (1995) • Cross-validated against our PyneCore Python reference implementation. • Parameters were tuned on gold (XAUUSD) via the NovaLens research pipeline. The same presets generalize reasonably to other assets - though testing on your own instruments is always recommended. • Regime palette: teal = trend-favorable, amber = chop-dominant. Not green/red - this is a state classifier, not a directional signal. If you find a Custom parameter set that works well on a different instrument, the comments are a good place to share it.
อินดิเคเตอร์ Pine Script®
โดย NovaLens
RBM - Range Body MeasureRBM – Range Body Measure A structural strength indicator for intraday trend filtering and noise avoidance This indicator measures the quality of price movement using the Range Body Measure (RBM), a composite metric derived from normalized range expansion and candle body efficiency. RBM helps identify whether price action is clean and directional, or weak and choppy. 🔍 What RBM Measures RBM is built from two key structural components: Range Expansion EMA of (High − Low), normalized by ATR Captures how meaningfully price is moving relative to volatility Body Efficiency EMA of (Candle Body / Total Range) Measures how directional each candle truly is RBM combines these to produce a smooth structural score typically between 0 and 1. Low RBM = weak structure, chop, noise High RBM = strong directional structure, trend-friendly movement 🎯 Trend & Chop Zones Two adjustable thresholds define structural zones: 🔴 Chop Zone Highlighted only when RBM < Chop Threshold Only the area below the threshold is shaded Indicates low-quality, non-directional movement Useful to filter out no-trade periods 🟢 Trend Zone Highlighted only when RBM > Trend Threshold Only the area above the threshold is shaded Indicates strong structure suitable for directional trades The middle region is intentionally left unshaded to keep the chart clean. 🛡️ Built-In Safety Trend threshold automatically adjusted to be ≥ Chop threshold Chop shading disabled if threshold ≤ 0 Trend shading disabled if threshold ≥ 1 This ensures stable, predictable behavior regardless of user settings. 📌 Intended Use Cases Filtering low-quality market structure before entering trades Validating directional setups for CE/PE options or index futures Avoiding chop-heavy intraday periods Enhancing systems based on VWAP, MACD histogram Building multi-layer conviction models for trend trading
อินดิเคเตอร์ Pine Script®
โดย gokul4trading
Hidden Markov Model Market Regimes [LuxAlgo]The Hidden Markov Model Market Regimes indicator uses a mathematical framework to identify whether the current market environment is in a Trending or Ranging state. By analyzing log returns and volatility through a Hidden Markov Model (HMM) approach, the tool provides real-time probability estimates for each regime to help traders adapt their strategies to changing market conditions. 🔶 USAGE The indicator is displayed in a separate pane below the price chart, showing two oscillating lines representing the probability (0% to 100%) of the market being in a "Trending" or "Ranging" regime. Trending Regime (Blue): High values indicate a directional market with expanding volatility and persistent returns. Ranging Regime (Gray): High values indicate a mean-reverting environment with lower volatility and compressed price action. Neutral Zone: When both lines are near the 50% level, the model is uncertain about the current regime, suggesting a potential transition. Traders can use these regimes to filter signals: trend-following strategies (like moving average crosses) typically perform better when the Trending probability is high, while mean-reversion strategies (like oscillators) are often more effective during high Ranging probability periods. 🔶 DETAILS The script implements a simplified version of the HMM Forward Algorithm to estimate "hidden" market states from observable price data. 🔹 Observation Data The model processes two main inputs: Log Returns: Used to detect directional movement and momentum. Volatility: Calculated via standard deviation to differentiate between high-activity trends and low-activity ranges. 🔹 The Forward Algorithm The indicator calculates "Emission Likelihoods" based on Gaussian heuristics. It assumes that a Ranging state is characterized by low volatility and returns near zero, while a Trending state is characterized by higher volatility and significant price displacement. The algorithm then combines these likelihoods with the "Transition Matrix" (which assumes regimes tend to persist over time) to calculate the posterior probability of each state. The Learning Rate setting determines how much weight is given to the newest bar's data versus the previous state's probability. 🔶 SETTINGS 🔹 HMM Settings Lookback Period: Determines the window used to calculate mean returns and volatility benchmarks. A longer lookback provides more stable regime detection, while a shorter lookback is more reactive. Learning Rate: Controls the sensitivity of the probability updates. A higher value makes the indicator switch between regimes faster, while a lower value filters out market noise. 🔹 Dashboard Enable Dashboard: Toggles the visibility of the on-screen information table. Position: Moves the dashboard to different corners of the chart (Top Right, Bottom Right, or Bottom Left). Size: Adjusts the scale of the dashboard text and cells.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
1
Monotonicity Index [LuxAlgo]The Monotonicity Index indicator measures the structural consistency of price action by comparing market movement to an optimal monotonic (ever-increasing or ever-decreasing) fit. Using Isotonic Regression via the Pool Adjacent Violators Algorithm (PAVA), this tool provides a quantitative measure of whether a market is trending efficiently or moving with high complexity/noise. 🔶 USAGE The indicator is displayed in a separate pane and oscillates based on the structural "smoothness" of price. It is primarily used to distinguish between trending environments and choppy or mean-reverting phases. 🔹 Index Modes The tool offers two distinct ways to interpret market structure: Efficiency: This mode calculates the ratio between the net movement of the best-fit monotonic trend and the total price path (volatility). A high value indicates a "straight-line" trend where every movement contributes to the direction. Low values indicate "exhausted" or "noisy" movement where price travels a long distance to end up near the same point. Complexity: This mode measures the number of segments (pools) required to fit the data. A low complexity value suggests the market is following a simple, clear path. High complexity suggests the market is frequently changing local direction, characteristic of range-bound or "choppy" price action. 🔹 Interpretation The indicator includes a dynamic Cumulative Mean and an Upper Bound to help provide context to the current readings: Above Mean: When the Efficiency index is above its mean, the current trend is more "monotonic" and stable than average. Below Mean: Readings below the mean suggest that price action is becoming fragmented, potentially signaling a transition into a range or a trend reversal. 🔶 DETAILS At the core of this indicator is the Isotonic Regression calculated via the PAVA algorithm. Unlike standard moving averages or linear regressions that assume a specific shape (like a straight line), Isotonic Regression finds the "best fit" that is strictly non-decreasing or non-increasing. The script performs two simultaneous fits (one bullish, one bearish) and selects the one with the lowest Mean Squared Error (MSE). By analyzing how many "pools" (constant segments) the algorithm creates or how much the price deviates from this "ideal" trend, we can mathematically define the quality of a trend without the lag associated with traditional momentum oscillators. 🔶 SETTINGS Source: The price data used for the calculation (default is Close). Period: The lookback window for the Isotonic Regression fit. A larger period analyzes long-term structural trends, while a shorter period reacts to local price swings. Index Mode: Switches between Efficiency (ratio of trend to volatility) and Complexity (number of segments in the fit). Index Smoothing: Applies a Simple Moving Average to the raw index to filter out high-frequency noise and provide a smoother line. Index Color: Adjusts the visual color of the index line and its associated gradient fill.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
2
Session Auction State Engine (SASE) Summary in one paragraph Session Auction State Engine (SASE) is a session context indicator for liquid futures, FX, equities, and crypto on intraday to daily timeframes. It classifies the current session into one of four auction regimes, Balanced, Early trend, Trend continuation, or Failed auction, so you act only when multiple acceptance and expansion conditions align. It is original because it outputs a single interpretable auction state, not buy and sell signals, by combining time acceptance, range expansion, and return to value logic into a compact dashboard. Add it to a clean chart, read the table for Action and permissions, and use the optional markers and bands for quick visual context. Shapes can move while the bar is open and settle on close, for conservative workflows use alerts on bar close. Scope and intent • Markets. Major index futures, major FX pairs, large cap equities, liquid crypto • Timeframes. 1 minute to daily • Default demo used in the publication. ES1! on 5 minute • Purpose. Prevent premature directional decisions by forcing regime confirmation before direction is considered actionable • Limits. Indicator only. No backtest, no execution, no performance claims Originality and usefulness This is not a mashup of common indicators. It is a session auction classifier with an explicit decision hierarchy. • Unique concept or fusion. A regime engine that gates trading by session auction state using Initial Balance, value acceptance, expansion, and return to value confirmation • What failure mode it addresses. False starts in chop, early breakouts that never gain acceptance, and trend chasing inside balanced sessions • Testability. Inputs expose each component and the table shows the state, direction, and pass or fail checklist so users can verify why a state appears and tune thresholds • Portable yardstick. Expansion is normalized by an expected range unit (ATR based), so thresholds scale across symbols with different point values Method overview in plain language SASE runs inside a user defined session window. It builds an Initial Balance (IB), then evaluates whether the market is accepting prices outside value and outside IB, whether the session is expanding beyond IB, and whether price returns to value after a failed excursion. Base measures • Range basis. Value width is ATR of the chart timeframe over the Width ATR length, multiplied by Width ATR multiplier • Normalization basis. Expected range is ATR, either daily or intraday based on Expected range mode, used to normalize session extension Components • Initial Balance (IB). High and low during the first IB minutes of the session. IB defines the first acceptance boundary • Value anchor. A session anchored VWAP or TWAP (or auto) used as a value center • Value width. ATR based band around value used to measure inside value and outside value • Acceptance. Two acceptance channels are tracked, closes outside value in the breakout direction and closes outside IB in the breakout direction. An EMA plus a short streak score turns this into an acceptance strength metric • Extension. Maximum distance beyond IB, normalized by expected range, measures range expansion • Balance. An EMA of time spent inside the value band measures how rotational versus directional the session is • Failed auction. Requires a real excursion outside value first, then a sustained return inside value, plus an acceptance collapse and a rebalance increase, optionally requiring price to be back inside IB Fusion rule SASE outputs exactly one state per bar inside the session. • Balanced. No confirmed breakout from IB, or conditions indicate rotational trade, high balance, low acceptance, low extension • Early trend. Breakout exists, but trend continuation checklist is not complete yet • Trend continuation. All trend gates pass at once: enough time since breakout, acceptance above threshold, extension above threshold, and balance below threshold • Failed auction. After an excursion outside value, price returns and holds inside value while acceptance collapses and balance rises, optionally requiring price back inside IB Signal rule This script does not issue trade signals. It outputs context. • Direction is shown only when state is not Balanced • The dashboard shows a Trend checklist (T, A, E). Trend continuation requires T pass, A pass, and E pass • Early trend indicates direction may be forming but confirmation is incomplete • Failed auction indicates the prior directional attempt was rejected and mean reversion conditions are stronger What you will see on the chart • Optional markers. Key markers appear on state transitions, typically when Trend continuation or Failed auction begins, depending on the Markers setting • Optional reference levels. IB high and IB low lines, and value center plus value bands • Optional background and bar color. Off by default for chart cleanliness • Compact dashboard. A table showing state, direction, Action, permissions, IB progress, checklist, and component gauges Table fields and quick reading guide • State badge. Current auction state • Direction. Up or Down when state is not Balanced, otherwise None • Action. Plain language instruction for the current state • Use. Two permissions, Trend and MeanRev, shown as ON or OFF • IB. Progress and status, Wait until Complete • Trend. Ready percent plus checklist T, A, E • Accept. Acceptance strength and whether it meets the trend threshold • Extend. Extension strength and whether it meets the trend threshold • Balance. Balance score and whether it is low enough for trend continuation • Fail. Excursion and return to value progress when relevant Reading tip. Trend continuation is only intended when T, A, and E are all passing. If Balanced, do not force direction. Inputs with guidance Setup • Session. Defines when the engine is active. Verify timezone and hours when changing symbol or venue • Session timezone. Exchange or a named timezone • Show last session snapshot when closed. When enabled, the table displays the last in session state after the session ends Logic • IB minutes. Typical 30 to 90. Higher reduces noise but delays classification • Value anchor. Auto is recommended. VWAP requires reliable volume, TWAP is volume agnostic • Value reference. Freeze at IB reduces value drift and makes acceptance and failed auction logic more stable • Width ATR length. Typical 14 to 30. Higher smooths value width • Width ATR multiplier. Typical 0.5 to 1.2. Higher widens value and increases Balanced time • Breakout buffer as width fraction. Typical 0.1 to 0.4. Higher requires cleaner breakouts • Acceptance EMA length. Typical 20 to 60. Higher reduces flicker • Acceptance streak bars. Typical 4 to 10. Higher requires sustained acceptance • Early trend acceptance threshold. Typical 0.25 to 0.45 • Trend continuation acceptance threshold. Typical 0.45 to 0.70 • Balance EMA length. Typical 30 to 80 • Trend continuation max balance. Typical 0.30 to 0.55. Lower makes trend continuation stricter • Balanced min balance. Typical 0.55 to 0.80 • Trend continuation min bars since breakout. Typical 10 to 30 • Extension thresholds. Early 0.10 to 0.25, Trend 0.20 to 0.50, in expected range units • Failed auction window bars. Typical 15 to 40. Larger windows require more sustained rejection • Failed auction thresholds. Acceptance max 0.10 to 0.30, Balance min 0.55 to 0.80 • State change confirm bars. Typical 1 to 4 • Return to Balanced confirm bars. Typical 4 to 12 • Minimum bars to keep non Balanced state. Typical 6 to 20, increases stability UI • Theme. Dark or Light • Dashboard position. Corner selection • Markers. Off, Key only, or All changes • Background tint and bar color. Off by default to keep charts readable • Show IB lines and Show value bands. Off by default, enable for learning or debugging Usage recipes Intraday trend focus • IB minutes 60 • Value reference Freeze at IB • Breakout buffer 0.25 • Trend confirm bars 18 • Accept trend threshold 0.55 • Extend trend threshold 0.30 • Trend max balance 0.40 Goal. Trade only when Trend continuation is active and checklist is fully passing Intraday mean reversion focus • IB minutes 30 to 60 • Value reference Freeze at IB • Wider value width, raise Width ATR multiplier to 0.9 to 1.2 • Raise Balanced min balance to 0.70 • Keep Markers on Key only Goal. Focus on Balanced and Failed auction states, avoid early trend and trend continuation trades Swing continuation • Use 60 minute or 240 minute chart • Expected range mode Daily ATR • Trend confirm bars 12 to 30 depending on timeframe • Raise Width ATR length to 30 Goal. Use Trend continuation as a higher level regime gate, then use your own entry timing tool inside that regime Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Intrabar motion reminder. Shapes and table values can update while a bar forms and settle on close • Session windows use the chart exchange time unless you override timezone. Verify hours when changing symbol or venue Honest limitations and failure modes • News releases and liquidity gaps can break normal auction behavior and can trigger rapid state transitions • Symbols with unreliable volume may work better using TWAP or Auto rather than VWAP only • Very quiet regimes can reduce contrast between Balanced and Early trend, consider longer windows or higher thresholds • Non standard chart types can distort session and IB calculations, use standard candles for evaluation Open source reuse and credits None Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs in any external testing workflow.
อินดิเคเตอร์ Pine Script®
โดย exlux
Market Efficiency Ratio [Interakktive]The Market Efficiency Ratio decomposes price movement into two components: net progress vs wasted movement. This tool exposes the underlying math that most traders never see, helping you understand when price is moving efficiently versus chopping sideways. Unlike simple trend indicators, this shows you WHY price movement matters — not just whether it's up or down, but how much of that movement was useful directional progress versus noisy oscillation. █ WHAT IT DOES • Calculates Efficiency Ratio (0–1 or 0–100) measuring directional progress • Exposes Net Displacement (how far price actually moved) • Exposes Path Length (total distance price traveled) • Calculates Chop Cost (wasted movement) • Visual zones for high/mid/low efficiency states █ WHAT IT DOES NOT DO • NO signals, NO entries/exits, NO buy/sell • NO performance claims • NO predictions — purely diagnostic • This is a tool for understanding price behavior █ HOW IT WORKS The efficiency ratio answers one question: "Of all the movement price made, how much was useful progress?" 🔹 THE MATH Over a lookback period of N bars: Net Displacement = |Close - Close | Path Length = Σ |Close - Close | for all bars Efficiency Ratio = Net Displacement / Path Length 🔹 INTERPRETATION • Efficiency = 1.0 (100%): Price moved in a straight line — every tick was progress • Efficiency = 0.5 (50%): Half the movement was wasted in back-and-forth chop • Efficiency = 0.0 (0%): Price ended exactly where it started — all movement was noise 🔹 CHOP COST This is the "wasted movement" — how much price traveled without making progress: Chop Cost = Path Length - Net Displacement Chop % = Chop Cost / Path Length High chop cost means lots of effort for little result — a warning sign for trend traders. █ VISUAL GUIDE Three efficiency zones: • GREEN (≥70): High efficiency — strong directional movement • YELLOW (30-70): Mixed efficiency — some progress, some chop • RED (<30): Low efficiency — mostly noise, little progress █ INPUTS Lookback Length (default: 14) Number of bars to calculate efficiency over. Higher values produce smoother readings but respond slower to changes. Smoothing Length (default: 5) EMA smoothing applied to the output. Reduces noise in the efficiency reading. Apply Smoothing (default: true) Toggle EMA smoothing on/off. Scale Mode (default: 0–100) Display as percentage (0-100) or decimal ratio (0-1). Show Reference Bands (default: true) Display the high/low efficiency threshold lines. Low/High Efficiency Level (default: 30/70) Thresholds for classifying efficiency zones. Overlay Effect (default: None) • None: No overlay • Background Tint: Subtle chart background color in high/low zones • Bar Highlight: Color bars during low efficiency periods Show Data Window Values (default: true) Export all raw values (Net Displacement, Path Length, Efficiency, Chop Cost, Chop %) to the data window for analysis. █ USE CASES This indicator helps traders understand: • Why some trends are "clean" and others are "messy" • When price is consolidating vs trending (without using volume) • The relationship between movement and progress • Why high-chop environments are difficult to trade This is the foundational concept behind more advanced regime detection systems. █ SUITABLE MARKETS Works on: Stocks, Futures, Forex, Crypto Timeframes: All timeframes Note: This is a price-only indicator — no volume required █ DISCLAIMER This indicator is for informational and educational purposes only. It does not constitute financial advice. It does not generate trading signals. Past performance does not guarantee future results. Always conduct your own analysis.
อินดิเคเตอร์ Pine Script®
โดย Interakktive
1
Katalyst's Opening Range BreakoutKatalyst's Opening Range Breakout + No Trade Zone 📜 Overview: This indicator allows traders to visualize the high and low of the opening range for a user-selected timeframe (e.g., 30s, 1m, 5m, 15m). It features fully customizable lines, labels, and an optional **No Trade Zone** fill to help you identify breakout levels with ease. --- 🎯 Key Features: 1. **Customizable Opening Range**: - Select your preferred opening range duration: **30 seconds, 1 minute, 2 minutes, 5 minutes, 10 minutes, or 15 minutes**. - The indicator calculates and plots the **high** and **low** of the selected opening range. 2. **Dynamic Line Styling**: - Choose the **line color**, **transparency**, and **style**: **Solid, Dashed, or Dotted**. - Lines extend to the right of the chart for clarity. 3. **No Trade Zone** *(Optional / Disabled by default)*: - When enabled, fills the area between the high and low lines with a customizable **color and transparency**. - Helps visually identify consolidation areas where trading might be avoided. 4. **Labels for Precision**: - Clearly displays the **Opening Range High** and **Low** values. - Labels are color-coded and positioned dynamically for easy interpretation. 5. **Clean and Efficient Updates**: - The indicator deletes old lines, labels, and fills before creating new ones, ensuring a clutter-free chart. --- ⚙️ How to Use: 1. **Select Your Timeframe**: - From the settings, choose your desired opening range duration: 30s, 1m, 2m, 5m, 10m, or 15m. 2. **Customize the Visuals**: - Adjust line color, style, and transparency. - Enable the **No Trade Zone** for a transparent background fill between the high and low lines. 3. **Interpret the Breakout**: - Watch for price movements above or below the **opening range** to identify potential breakout opportunities. --- 🛠 Settings: Opening Range Duration: Select the timeframe for the opening range (30s, 1m, 2m, 5m, 10m, 15m). Line Color: Set the color of the range lines. Line Transparency: Adjust the transparency of the lines (0 = solid, 100 = invisible). Line Style: Choose line style: Solid, Dashed, or Dotted. Label Colors: Customize the label colors for the high and low values. Enable No Trade Zone: Fill the area between high and low lines with a transparent color. No Trade Zone Color: Set the fill color for the no trade zone. No Trade Zone Transparency: Adjust the transparency of the no trade zone fill. --- 📈 Ideal For Day traders and scalpers looking to trade **breakouts**. Traders who want to identify areas of consolidation visually. Anyone who relies on the **opening range** for their trading strategy. --- 🔍 Example Usage: Set the opening range to **5 minutes** and enable the **No Trade Zone** with a light red fill. Watch for price to break above or below the high/low lines to signal potential trade opportunities. --- ✨ Why Use This Indicator? This script simplifies your breakout strategy by providing a clear, visually appealing representation of the opening range. The flexible customization options and the optional **No Trade Zone** make it a powerful tool for identifying high-probability trades. --- Let me know if you need any additional tweaks or clarifications for this description. It's all set to help traders understand and use your powerful script! 🚀📈
อินดิเคเตอร์ Pine Script®
โดย TheKatalyst
16
ATR, Chop, Profit Target and Stop Loss TableThe ATR Table indicator is a versatile tool that helps traders visually and quantitatively manage risk, identify market conditions, and set profit targets and stop-loss levels. It is designed to enhance decision-making by incorporating key volatility and chop (market consolidation) signals into a comprehensive table format. Key Features: Average True Range (ATR) Calculation : The indicator computes the ATR over a user-defined period (default 14). ATR helps to measure market volatility, providing insights into how much an asset's price typically moves within a given period. Stop Loss and Profit Target Calculation : You can configure stop-loss and profit target levels using multipliers based on the ATR. This allows dynamic risk management that adjusts to market volatility: Stop Loss : Defined as a multiple of the ATR to help control losses. Profit Target : Also based on a multiple of the ATR to lock in gains. The user can specify whether they are trading long or short, and the indicator adjusts the levels accordingly. Customizable Plot Lines : The indicator can display the Stop Loss and Profit Target levels directly on the chart. Users can toggle these lines on or off and customize their colors. Chop Signa l: The indicator highlights potential consolidation periods (chop) using a wick-based analysis. It calculates the highest upper or lower wick values and compares them to the ATR to detect periods of indecision or consolidation. Table Display : When these wick values exceed the ATR by a user-defined multiplier, the corresponding table rows are highlighted. Background Alerts : Optionally, users can activate background color changes on the chart to visually alert them when chop conditions are detected. Customizable Table Layout : A table displaying the key values (ATR, Stop Loss, Profit Target, Upper/Lower Wickiness) is placed on the chart. You can choose the table's position, adjust its color scheme, and decide which rows to display. Chop Background Customization : For users who prefer more visual cues, the indicator allows you to enable or disable background shading when chop conditions are met. You can also choose the color of this background for better customization.
อินดิเคเตอร์ Pine Script®
โดย MarketXero
1
Session LiquidityDescribes if markets are liquid enough for institutions to manipulate. Its often difficult to determine if markets will trend or chop, but by looking at how much volume we have at the open, we can determine of the session will be choppy or trendy, and take trades based on that. Settings predefined for 1m timeframe on SPY. May work with other tickers, but I have not tested it out yet. Designed for stocks(as of now, may update later)
อินดิเคเตอร์ Pine Script®
โดย drop_trades
Blockunity Regime Monitoring (BRM)Efficiently analyze market conditions and detect overheating zones. Regime Monitoring (BRM) is here to help you analyze the behavior of financial markets. The oscillator allows you to observe when an asset’s trend is likely to reverse. The trend is also given by the indicator, as is the phase the market is in (trending or congested). The BRM also provides the state of the Choppiness Index, indicating whether or not the asset is about to enter a more volatile phase. The Idea The goal is to provide the community with a comprehensive tool for tracking market conditions, with a visual approach to identifying overheating zones. How to Use This tool consists of 3 main components: An oscillator, which we describe in detail below. Bar color to transcribe oscillator information directly onto the graph. To activate Bar Color, make sure the first option is checked in the settings. You must also uncheck "Borders" and "Wick" in your Chart Settings. A panel that summarizes the status of various indicator information. Elements The Regime Monitoring oscillator The oscillator provides several information points. First, it gives the market trend of the asset: Green: Bullish trend. Red: Bearish trend. Blue: Contested trend. It then indicates areas of overheating, where it is considered statistically probable that we will see a change in trend dynamics. These moments are shown in yellow. This market trend is also indicated in the table. If you see that the oscillator is above or below these limits, but not yellow, this is because we use a Choppiness Index to filter this information. The "Enable Choppiness Index Filter" is enabled by default in the settings. So, if the Chop is discharged (under 38.2), then the oscillator's overheating state is ignored. You can see the difference in the images below, the first with the filter and the other without: Market Phase We use a Vertical Horizontal Filter (VHF) to define the market phase the asset is in. This phase can have two values: Trending: Assets evolve within a trend. Congestion: The asset is in a moment of congestion. Chop State Visualize the Choppiness Index, indicating whether an asset is gearing up to enter a phase of increased volatility. It can be: Charged: Chop is considered to indicate to be entering a stable phase. Neutral: Chop is neutral and does not provide any specific information. Discharged: Chop is considered to indicate a continuation of the trend. In addition, with the "Show Choppiness Index" option, you can plot the Chop on the oscillator: Other Settings You can also modify the standard Regime Monitoring parameters (Lookback, Smoothing, Limits), display or hide certain components, and change all the colors. How it Works Regime Monitoring's main oscillator is established as follows: We calculate the percentage of times the closing price was higher than the opening price. This is then divided by a lookback period, which in this case defaults to 20. This calculation gives a probability of the current regime.
อินดิเคเตอร์ Pine Script®
โดย Blockunity
8
Simple Chop ZoneThe original Chop Zone indicator by Trading View is good, but has a few limitations which I've addressed in this one Too many colors which confuse and/or overwhelm users like me Inability to change the EMA period This one has just 3 customizable colors for Uptrend - default = Turquoise Downtrend - default = red Everything else - default = lime And you can set your own EMA length. The default is 34 as per the original Chop Zone indicator
อินดิเคเตอร์ Pine Script®
โดย meterdown
Local Model Kalman Market ModeIntroduction Heyo guys, I made a new (repainting) indicator called Local Model Kalman Market Mode. I created it, because I wanted a reliable market mode filter for a potential mean-reversion strategy (e. g. BB Scalping). On the screenshot you can see an example of how to use it in a BB strategy. E.g. you would enter long when you have bullish divergence, price is under lower BB, price is under PoC and this indicator here shows range-bound market phase. You would exit long on cross of the middle band. Description The indicator attempts to model the underlying market using different local models (i.e., trending, range-bound, and choppy) and combines them using the T3 Six Pole Kalman Filter to generate an overall estimate of the market. The Fisher Transform is applied on the price to reach a Gaussian distribution, which increases the accuracy of the indicator itself. The script first defines state variables for each local model, which include trend direction, trend strength, upper and lower bounds of the range, volatility of the range, level of choppiness, and strength of noise. Then, likelihood functions are defined for each local model based on the state variables. Next, the script calculates weights for each local model based on their likelihoods and uses them to calculate state variables for the overall estimate. Finally, the script combines the state variables using the T3 Six Pole Kalman Filter to generate the overall estimate of the market, which is plotted in blue. Fundamental Knowledge To understand the explanation of the indicator and the script, there are a few fundamental concepts that you need to know: Market: A market is a place where buyers and sellers come together to exchange goods or services. In the context of trading, the market refers to the exchange where financial instruments such as stocks, currencies, and commodities are bought and sold. Local models: Local models are statistical models that attempt to capture the characteristics of a particular market regime. For example, a trending market may have different characteristics than a range-bound market or a choppy market. The indicator uses different local models to capture the different market regimes. Trend direction and strength: The trend direction refers to the direction in which the market is moving, either up or down. The trend strength refers to the magnitude of the trend and how likely it is to continue. Range-bound market: A range-bound market is a market where prices are trading within a specific range, with a clear upper and lower bound. Choppiness: Choppiness refers to the degree of irregularity in price movements, often seen in sideways or range-bound markets. Volatility: Volatility refers to the degree of variation in the price of an asset over time. High volatility implies larger price swings, while low volatility implies smaller price swings. Kalman filter: A Kalman filter is a mathematical algorithm used to estimate an unknown variable from a series of noisy measurements. In the context of the indicator, the Kalman filter is used to generate an overall estimate of the market by combining the local models. T3 Six Pole Kalman Filter: The T3 Six Pole Kalman Filter is a specific type of Kalman filter that is used to smooth and filter time-series data, such as the price data of a financial instrument. Fisher Transform: The Fisher Transform is a mathematical formula used to transform any probability distribution into a Gaussian normal distribution. It is commonly used in technical analysis to transform non-Gaussian indicators into ones that are more suitable for statistical analysis. By understanding these fundamental concepts, you should have a basic understanding of how the indicator works and how it generates an overall estimate of the market. Usage You can use this indicator on every timeframe. Users can customize the parameters of the T3 Six Pole Kalman Filter (T3 length, alpha, beta, gamma, and delta) using input functions. Try out different parameter combinations and use the one you like most. Thank you for checking this out. Leave me a comment or boost the script, when you wanna support me! 👌 -- Credits to: ▪@HPotter - Fisher Transform ▪@loxx - T3 ▪ChatGPT - Helped me to make the research for this indicator and helped to build the core algorithm.
อินดิเคเตอร์ Pine Script®
โดย simwai
17
RedK Chop & Breakout Scout (C&B_Scout)The RedK Chop & Breakout Scout (C&BS or just CBS) is a centered oscillator that helps traders identify when the price is in a chop zone, where it's recommended to avoid trading or exit existing trades - and helps identify (good & tradeable) price breakouts. i receive many questions asking for simple ways to identify chops .. Here's one way we can do that. (This is work in progress - i was exploring with the idea, and wasn't sure how interesting other may find it. ) Quick Intro: ================== Quick techno piece: This concept is similar to a Stochastic Oscillator - with the main difference being that we're utilizing units of ATR (instead of a channel width) to calculate the main indicator line - which will then lead to a non-restricted oscillator (rather than a +/- 100%) - given that ATR changes with the underlying and the timeframe, among other variables. to make this easy, and avoid a lot of technical speak in the next part, :) i created (on the top price panel) the same setup that the C&B Scout represents as a lower-panel indicator. So as you read below, please look back and compare what C&BS is doing in its lower panel, with how the price is behaving on the price chart. how this works ======================== - To identify chops and breakouts, we need to first agree on a definition that we will use for these terms. - for the sake of this exercise, let's agree that the price is in a chop zone, as long as the price is moving within a certain distance from a "price baseline" of choice ( which we can adjust based on the underlying, the volatility, the timeframe, the trading style..etc) - when the price moves out of that chop zone, we consider this a breakout - Now not all breakouts are "good" = they need to at least happen in the direction of the longer term trend. In this case, we can apply a long Moving Average to act as a filter - and consider breakouts to be "good" if they are in the same direction as the filter line - With the above background in mind, we establish a price baseline (as you see on the top panel, this is based on the midline of a Donchian Channel - but we can use other slow moving averages in future versions) - we will decide how far above/below that baseline is considered to be "chop zone" - we do this in terms of units of Average True Range (ATR) - using ATR here is valuable for so many reasons, most of all, how it adjusts to timeframe and volatility of underlying. - The C&B Scout line simply calculates how far the price is above/below the baseline in terms of "ATR units". and shows how that value compares to our own definition of a "chop zone" - so as long as the price is within the chop zone, the CBS line will be inside the shaded area - and when the price "breaks out" of the chop zone, the CBS line will also breakout (or down) from the chop zone. - C&B Scout will give a visual clue to help take trades in the direction of the prevailing trend - the chop zone is green when the price is in "long mode", as in, the price is above the filter line - and will be red when we are in "short mode" - so the price is below the filter line. in green mode, we should only consider breakouts to the upside, and ignore breakouts to the downside (or breakdowns) - in red mode, we should only consider breakouts to the downside., and ignore the ones to the upside. - i added some examples of "key actions" on the chart to help explain the approach here further. Usage & settings Notes: ======================== - even though for many traders this will be a basic concept/setup, i still highly suggest you spend time getting used to how it works/reacts and adjusting the settings to suit your own trading style, timeframe, tolerance, what you trade....etc - for example, if i am a conservative trader, i may consider any price movement within 1 x ATR above and below the baseline to be in "chop" (ATR Channel width = 2 x ATR) - and i want to only take trades when the price moves outside of that range *and* in the direction of the prevailing trend - An aggressive trader may use a smaller ATR-based value, say 0.5 x ATR above/below the baseline, as their chop zone. - A swing trader may use a shorter filter line and focus on the CBS line crossing the 0 line. - .... and so on. - Also note that the "tradeable" signal is when the CBS line "exits" the chop zone (upward on green background, or downward on red background) - however, an aggressive trader may take the crossing of the CBS line with the 0 line as the signal to open a trade. - As usual please do not use this indicator "in isolation" and ensure you have other confirming signals from your setups before trading. conclusion =========== As i mentioned, this is really a simple concept - and i'm a big fan of those :) -- and there's so much that could be done to expand around it (add more visuals/colors, add alerts, add options for ATR calculation, Filter line calculations, baseline..etc) - but with this v1.0, i wanted to share this initially and see how much interest and how valuable fellow traders find it, before playing any further with it. so please be generous with your comments.
อินดิเคเตอร์ Pine Script®
โดย RedKTrader
55
Binance CHOP Dashboard by KziHere is a Dashboard to find the opportunuty of bigs moves with 20 pairs. The Dashboard is too big for the phone view. I thinks we can use it only on computer view. How it's work ? I look for the CHOP on Weekly and Daily time frame The CHOP give the "tension" of the pair. So i look for the biggest "tension" to take the "big mooves" I look for the align tension between weekly and daily The CHOP can be 0 to 100 , the result is: (Weeky CHOP x Daily CHOP) = 0 to 10 000 To make the result easy to read, i divide so that the "note" is between 0 and 10. If you have more than 3 /10 = RED => HOT Opporunity for big mooves If you have less than 1/10 = BLUE => COLD opporunity Thanks for your comment, Kzi The code is well. But i think there is an opportunity to do it better with some for loop. Is some of you do it, please let's me know.
อินดิเคเตอร์ Pine Script®
โดย Cazimiro
10
Oster Double ChopThis indicator is based on the Chopiness Index. If you're used to trade with the Chop, you may check several timeframes to enter a position. It starts getting annoying to check 2 timeframes for every single position you want to enter in, thanks to this indicator, you'll be able to monitor it in a single indicator. 2 parameters will have to be set up: Fixed timeframe Session timeframe The fixed timeframe is a timeframe that will be locked, and displayed no matter your session timeframe. You can change it in the parameters. The session timeframe will depend on the timeframe selected on your chart. By this way you can monitor 1 timeframe for any chart, and the other chop is flexible depending on what timeframe you're monitoring. NOTE: if your session timeframe is the same as the fixed timeframe, you will see only one chop line because they overlay. Have a nice trading!
อินดิเคเตอร์ Pine Script®
โดย Oster_Swing
CHOPORSI CHOPORSI is a multiindicator. This indicator help You to recognize potential in or out singal. Base singals are from Choppines, RSI, AND DMI indicators. It is a combination of 3 separate indicators like choppines RSI and DMI. Then our new indicator see like bellow on next image. Yellow line is sum of CHOP index and RSI , in this case we can say its a CHOPORSI Index. Green line is DMI- line , this show us strength of sell position on the market. We schould use other signals, like LSMA 50/100 to improve trend changing. Like on next picture. Now how this indicator works? Yellow line is the sum oF Chop and RSI value - 50. Max and minimum value of CHOP and RSI are the same from 0 to 100. We have sum of them. Our minimum signal is 0+0-50=-50 maximum signal is 100+100-50= 150 Most times if both of tem are on top level ( then we have 150) the trend is chanhing from bullish to bearish. The same way if the RSI ist on 0 and chop is over 50 ( then we have index 0 ) wee changing the tren from bearish to bullish. Off course it not every time. We see other signals, to take our risk self not sugested by some art of indicators. But if we are abowe topline, witch is set to 85 we can sey, we have have oversold signal. Underline 30 isour potentialy buy signal. Midrange 50 is mostly trand changin line. This valu of top, mid bottom line you can change on the setting. Every Coin have another level of this lines, and need to be checked individual to the coin. Standard, settings are set fo timeframe : 12 min. 24 min, 1H and 4 H > Blue crosses signalize possibilities trend changing. This picture shou us how this indicator works. Buy long signal : If yellow line is mostly at the bottom and green mostly on the top. Sell long signal l. Yellow -top , green -bottom. The Green line is from Directional Movement Index and is - DI line. Its show us selling trend. even higher position then mor sell of . Standard value of CHOPPINES is 14 , works fin on 1H and abowe also wit the value of 28 Standard value for RSI AND -DI unchanging 14. I tjink this is a simplu helpfull indycator. WARNING!!! IF YOU AT THIS POINT CANT UNDERSUD THIS INDICATOR, PLEASE DONT USE THEM . Signal, schould be confirmed with other indicators like MA, EMA even better with LSMA . Please try it an make only paper trading, to undertand how its realy works. Thank You!
อินดิเคเตอร์ Pine Script®
โดย ChartsHussars
9
CHOPperIt is based on the Choppiness Index indicator. It can show you when the market is in range. If the lines are below the lower band, it can be a strong trend, if it is inside the 2 bands, it is considered to be a choppy market, and if it is crossed down the upper band, it can be a developing trend. This indicator does not show you the trend direction! This may be used as a confirmation indicator. The improvements this indicator provides over the original: It uses ATR instead of just TR (if ATR length is 1, it is the original TR) It uses my ATRWO (ATR Without Outliers) indicator inside, which can remove extreme highs and lows from calculation. You can tune this by the "ATRWO STDev Mult" parameter. Higher value means more outliers are allowed. It has 2 lines, one uses ATR(WO) (the blue one), which can be similar to the original Choppiness Index, the other uses standard deviation (the teal one). The 2 lines can be used together, or you can hide one of them.
อินดิเคเตอร์ Pine Script®
โดย TheBacktestGuy
TAExtLibrary "TAExt" Indicator functions can be used in other indicators and strategies. This will be extended by time with indicators I use in my strategies and studies. atrwo(length, stdev_length, stdev_mult) ATR without outliers   Parameters:      length : The length of the ATR      stdev_length : The length of the standard deviation, used for detecting outliers      stdev_mult : The multiplier of the standard deviation, used for detecting outliers   Returns: The ATR value atrwma(src, period, type, atr_length, stdev_length, stdev_mult) ATR without outlier weighted moving average   Parameters:      src : The source of the moving average      period : The period of the moving average      type : The type of the moving average, possible values: SMA, EMA, RMA      atr_length : The length of the ATR      stdev_length : The length of the standard deviation, used for detecting outliers      stdev_mult : The multiplier of the standard deviation, used for detecting outliers   Returns: The moving average value jma(src, period, phase, power) Jurik Moving Average   Parameters:      src : The source of the moving average      period : The period of the moving average calculation      phase : The phase of jurik MA calculation (-100..100)      power : The power of jurik MA calculation   Returns: The Jurik MA series anyma(src, period, type, offset, sigma, phase, power) Moving Average by type   Parameters:      src : The source of the moving average      period : The period of the moving average calculation      type : The type of the moving average      offset : Used only by ALMA, it is the ALMA offset      sigma : Used only by ALMA, it is the ALMA sigma      phase : The phase of jurik MA calculation (-100..100)      power : The power of jurik MA calculation   Returns: The moving average series wae(macd_src, macd_fast_length, macd_slow_length, macd_sensitivity, bb_base_src, bb_upper_src, bb_lower_src, bb_length, bb_mult, dead_zone_length, dead_zone_mult) Waddah Attar Explosion (WAE)   Parameters:      macd_src : The source series used by MACD      macd_fast_length : The fast MA length of the MACD      macd_slow_length : The slow MA length of the MACD      macd_sensitivity : The MACD diff multiplier      bb_base_src : The source used by stdev      bb_upper_src : The source used by the upper Bollinger Band      bb_lower_src : The source used by the lower Bollinger Band      bb_length : The lenth for Bollinger Bands      bb_mult : The multiplier for Bollinger Bands      dead_zone_length : The ATR length for dead zone calculation      dead_zone_mult : The ATR multiplier for dead zone   Returns: ssl(length, high_src, low_src) Semaphore Signal Level channel (SSL)   Parameters:      length : The length of the moving average      high_src : Source of the high moving average      low_src : Source of the low moving average   Returns: adx(atr_length, di_length, adx_length, high_src, low_src, atr_ma_type, di_ma_type, adx_ma_type) Average Directional Index + Direction Movement Index (ADX + DMI)   Parameters:      atr_length : The length of ATR      di_length : DI plus and minus smoothing length      adx_length : ADX smoothing length      high_src : Source of the high moving average      low_src : Source of the low moving average      atr_ma_type : MA type of the ATR calculation      di_ma_type : MA type of the DI calculation      adx_ma_type : MA type of the ADX calculation   Returns:
ไลบรารี Pine Script®
โดย TheBacktestGuy
9
Chop Zone - SamXThis is my spin on the Chop Zone indicator. It was forked from the built-in TradingView Chop Zone indicator. There were several reasons for this effort... The built-in indicator version had no real configuration options It was hard-coded to use the 34-period EMA with fixed span sizes for identifying price range There was no real context to the meaning of default color scheme The separation points of the chop zone bars was at a fixed 1.43-degree scale Note: If left at default settings, this indicator will exactly match the built-in Chop Zone indicator. WARNING : Please be sure you understand the potential impact and implications before adjusting any of the settings in the "Advanced Configuration" section!!! Chop Zone with discrete/standard coloring: Chop Zone with gradient fill: Moving Average angle plot with gradient fill:
อินดิเคเตอร์ Pine Script®
โดย SamAccountX
7
CHOP Zone Entry Strategy + DMI/PSAR ExitThis is a Strategy with associated visual indicators and Long/Short and Reverse/Close Position Alerts for the Choppiness Index (CHOP) . It is used to determine if the market is choppy (trading sideways) or not choppy (trading within a trend in either direction). CHOP is not directional, so a DMI script was ported into this strategy to allow for trend confirmation and direction determination; it consists of an Average Directional Index (ADX) , Plus Directional Indicator (+DI) and Minus Directional Indicator (-DI) . In addition, a Parabolic SAR is also included to act as a trailing stop during any strong trends. Development Notes --------------------------- This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well are recommended Input settings and best practices for use. www.tradingview.com www.tradingview.com www.tradingview.com Recommend using the below DMI and PSAR indicators in conjunction with this script to fully visualize and understand how entry and exit conditions are chosen. Variable inputs should correlate between the scripts for uniformity and visual compatibility. THANKS to LazyBear and his Momentum Squeeze script for helping me quickly develop a momentum state model for coloring the Chop line by trend. Strategy Description --------------------------- CHOP produces values that determine whether the market is choppy or trending . The closer the value is to 100 , the higher the choppiness levels , while the closer it is to 0 , the stronger the market is trending . Territories for both levels, and their associated upper and lower thresholds, are popularly defined using the Fibonacci Retracements, 61.8 and 38.2. Basic Use --------------------------- CHOP is often used to confirm the market condition to help you stay out of sideways markets and only enter when there is movement or imminent explosions. When readings are above the upper threshold, continued sideways movement may be expected, while readings below the lower threshold are typically indicative of a continuing trend. It is also used to anticipate upcoming trendiness changes, with the general belief that extended periods of consolidation (sideways movement) are followed by extended periods of strong, trending, directional movement, and vice versa. One limitation in this index is that you must be cautious in deciding whether the range or trend will likely continue, or if it will reverse. Confidence in price action and trend is higher when two or more indicators are in agreement -- while this strategy combines CHOP with both DMI and PSAR, we would still recommend pairing with other indicators to determine entry or exit trade opportunities. Recommend also choosing 'Once Per Bar Close' when creating alerts. Inputs --------------------------- Strategy Direction - an option to only trade Short, Long, Both, or only in the direction of the Trend (Follow Trend is the Default). Sensitivity - an incremental variable to test whether the past n candles are in the same trend state before triggering a delayed long or short alert (1 is the Default). Can help filter out noise and reduces active alerts. Show Chop Index - two visual styles are provided for user preference, a visible Chop line with a background overlay, or a compact column and label only view. Chop Lookback Period - the time period to be used in calculating CHOP (14 is the Default). Chop Offset - changing this number will move the CHOP either forwards or backwards relative to the current market (0 is the Default). Smooth Chop Line and Length - if enabled, the entered time period will be used in calculating a smooth average of the index (Enabled and 4 are the Defaults). Color Line to Trend Direction - toggles whether the index line is colored to visually depict the current trend direction (Enabled is the Default). Color Background - toggles the visibility of a background color based on the index state (Enabled is the Default). Enable DMI Option - if enabled, then entry will be confirmed by and dependent on the ADX Key Level, with any close or reversal confirmed by both ADX and +/-DI to determine whether there is a strong trend present or not (Enabled is the Default). ADX Smoothing - the time period to be used in calculating the ADX which has a smoothing component (14 is the Default). DI Length - the time period to be used in calculating the DI (14 is the Default). ADX Key Level - any trade with the ADX above the key level is a strong indicator that it is trending (23 to 25 is the suggested setting). Enable PSAR Option - enables trailing stop loss orders (Enabled is the Default). PSAR Start - the starting value for the Acceleration Force (0.015 is our chosen Default, 0.02 is more common). PSAR Increment - the increment in which the Acceleration Force will move (0.001 is our chosen Default, 0.02 is more common). PSAR Max Value - the maximum value of the Acceleration Factor (0.2 is the Default). Color Candles Option - an option to transpose the CHOP condition levels to the main candle bars. Note that the outer red and green border will still be distinguished by whether each individual candle is bearish or bullish during the specified timeframe. Note too that if both DMI and PSAR are deselected, then close determinations will default to a CHOP reversal strategy (e.g., close long when below 38.2 and close short when above 61.8). Though if either DMI or PSAR are enabled, then the CHOP reversal for close determination will automatically be disabled. Indicator Visuals --------------------------- For the candle colors, black indicates tight chop (45 to 55), yellow is loose chop (38.2 to 45 and 55 to 61.8), dark purple is trending down (< 38.2), and dark blue is trending up (> 61.8). The background color has additional shades to differentiate a wider range of more levels… • < 30 is dark purple • 30 to 38.2 is purple • 38.2 to 45 is light purple • 45 to 55 is black • 55 to 61.8 is light blue • 61.8 to 70 is blue • > 70 is dark blue Long, Short, Close, and Reverse labels are plotted on the Chop line, which itself can be colored based on the trend. The chop line can also be hidden for a clean and compact, columnar view, which is my preferred option (see example image below). Visual cues are intended to improve analysis and decrease interpretation time during trading, as well as to aid in understanding the purpose of this strategy and how its inclusion can benefit a comprehensive trading plan. DMI and Trend Strength --------------------------- To analyze trend strength, the focus should be on the ADX line and not the +DI or -DI lines.  An ADX reading above 25 indicates a strong trend , while a reading below 20 indicates a weak or non-existent trend .  A reading between those two values would be considered indeterminable. Though what is truly a strong trend or a weak trend depends on the financial instrument being examined; historical analysis can assist in determining appropriate values. DMI exits trade when ADX is below the user selected key level (e.g., default is 25) and when the +/- DI lines cross (e.g., -DI > +DI exits long position and +DI > -DI exits short position). PSAR and Trailing Stop --------------------------- PSAR is a time and price based indicator that excels at measuring direction and duration, though not the actual strength of a trend, which is why we use this in conjunction with DMI. It is also included in this script as a trailing stop option to maximize gains during strong trends and to mitigate any false ADX strengthening signals. This creates a parabola that is located below the candle during a Bullish trend and above during a Bearish trend. A buy or reversal is signaled when the price crosses above or below the Parabolic SAR. Long/Short Entry --------------------------- 1. CHOP must be over 61.8 (long) or under 38.2 (short). 2. If DMI is enabled, then the ADX signal line must be above the user selected Key Level (default is 25). 3. If Sensitivity is selected, then that past candle must meet the criteria in step 1, as well as all the intermediate candles in between. 4. If "Follow Trend" is selected and PSAR is enabled, then a long position can only open when the momentum and PSAR are in an uptrend, or short when both are in a downtrend, to include all intermediate candles if the Sensitivity option is set on a past candle. Close/Reverse --------------------------- 1. If DMI is enabled, then a close flag will be raised when the ADX signal drops below the Key Level (of 25), and -DI crosses over +DI (if long), or +DI crosses over -DI (if short). 2. If PSAR is enabled, then a close flag will be raised when the current trend state is opposite the last state. 3. If both DMI and PSAR are disabled, then a close flag will be raised if the Chop line drops under 38.2 (if long) or goes over 61.8 (if short). 4. If a Long or Short Entry is triggered on the same candle as any of the above close flags, then the position will be reversed, else the position will be closed. Strategy Alerts --------------------------- 1. Long Entry 2. Short Entry 3. Reverse 4. Close The provided backtest result is based on a position sizing of 10% equity with 100k initial capital. When testing SPX, disabling the DMI performed the best, but EURUSD performed poorly without it enabled, and TSLA had a small reduction in net profit. Timeframe likewise differed between commodities with TSLA performing best at 30M, SPX at 15M, and EURUSD at 4H. I do not plan on using this as a standalone strategy, but I also was expecting better results with the inclusion of EMI and PSAR to compliment the CHOP. Key elements of this script will likely be included in future, more holistic strategies. Disclaimer --------------------------- Past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script are not intended to provide any financial advice. Trade at your own risk. No known repainting, though there may be if an offset is introduced in the Inputs. I did my best not to code any other variables that repaint, but cannot fully attest to this fact.
กลยุทธ์ Pine Script®
โดย IronCasper
4
Choppiness Index and RSI by ceyhun Choppiness Index and RSI by ceyhun This indicator is based on the inverse relationship between CHOP and RSI. Bar color If the RSI is greater than CHOP, the Bar color will be blue. If CHOP is greater than RSI, the bar color will be red. CHOP If CHOP is less than 38.2, the color will turn blue. positive If the CHOP is between 38.2 and 61.8, the color will be yellow and neutral. If CHOP is greater than 61.8, the color will turn red. negative Rsi If Rsi is greater than 61.8, the color will turn blue, positive If Rsi is between 38.2 and 61.8, the color will be hexagonal and neutral If Rsi is less than 38.2 the color will be red, negative The Choppiness Index (CHOP) is an indicator designed to determine if the market is choppy (trading sideways) or not choppy (trading within a trend in either direction). The Choppiness Index is an example of an indicator that is not directional at all. CHOP is not meant to predict future market direction, it is a metric to be used to for defining the market's trendiness only. A basic understanding of the indicator would be; higher values equal more choppiness, while lower values indicate directional trending. Relative Strength Index (RSI) The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially the RSI, when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
อินดิเคเตอร์ Pine Script®
โดย ceyhun
25