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中心震荡指标

Amit Eth StrategyMACD + EMA18 Signal Strategy This strategy combines momentum and trend-following concepts using MACD, EMA, and SMA for clean directional trading signals. Strategy Logic BUY Setup A BUY signal is generated when: MACD Line crosses above the Signal Line Price closes above the 18 EMA SELL Setup A SELL signal is generated when: MACD Line crosses below the Signal Line Price closes below the 18 EMA Exit Rules For BUY Trades Position exits when: Price closes below SMA 10 Low OR MACD gives bearish crossover For SELL Trades Position exits when: Price closes above SMA 10 High OR MACD gives bullish crossover Features Trend confirmation using EMA 18 Momentum confirmation using MACD crossover Dynamic stop-loss using SMA 10 One trade at a time logic Clean BUY & SELL signals only Works well in trending markets Best Timeframes 5 Min 15 Min 30 Min 1 Hour Best Suitable For Intraday Trading Swing Trading Index Trading Stocks Futures & Options Directional Trading Risk Management Always use proper position sizing and avoid overleveraging. This strategy performs best in trending markets and may produce false signals during sideways conditions. Backtest before using in live markets.
Pine Script®策略
由BurnerView提供
Flow Compass [NICK789]Overview Flow Compass is a market sentiment and pressure visualization tool built around a multi-factor confluence model. The script combines Chaikin Money Flow (CMF), Money Flow Index (MFI), and ADX/DMI trend analysis into a unified scoring and workflow system designed to help traders organize directional conditions more clearly. The script focuses on visualizing: • Flow direction • Pressure shifts • Trend participation • Momentum alignment • Divergence conditions rather than relying on a single technical signal. Core Mechanics The script uses a multi-factor scoring model to evaluate buyer and seller conditions using: • CMF Direction Tracks whether flow conditions are positive or negative. • CMF Intensity Measures the relative strength of flow using optional normalization. • MFI Position Tracks whether volume-weighted momentum is above or below equilibrium. • MFI Expansion Zones Identifies stronger momentum-pressure conditions. • DMI Alignment Checks whether directional movement aligns with current flow. • ADX Strength Measures trend participation and directional strength. • Divergence Detection Highlights situations where momentum and price behavior begin to separate. The Flow Plan Engine Flow Compass includes an optional flow-state workflow system designed to separate “building” conditions from “confirmed” conditions. States include: • Armed • Confirmed • Expired • Invalidated The goal is to help visualize how pressure develops over time instead of reacting only to immediate conditions. Visual System The script includes multiple interface layouts designed for different workflows: • Full Panel • Mobile Compact • Status Strip • Meter Only • Signals Only Additional visual features include: • Flow-based candle coloring • Buyer/Seller state bands • Unified sentiment oscillator • Optional divergence labels • Dashboard scoring system Flow Story Candles Two candle-coloring modes are included: • Reactive Displays immediate pressure conditions. • Flow Story Displays broader directional bias using the internal flow-state engine. How to Use General workflow example: 1. Observe overall buyer or seller pressure using the oscillator and dashboard. 2. Watch for “building” states during changing conditions. 3. Monitor confirmation states if using the optional plan engine. 4. Use the score system as additional context alongside your own analysis. This script is intended as a discretionary analysis tool and should be combined with proper risk management and independent trade planning. Notes • This script combines several commonly used technical analysis concepts into one workflow. • No future performance or profitability is implied. • Signals may behave differently depending on market conditions, timeframe, and asset type. • Users should test settings and workflows independently before using the script in live environments.
Pine Script®指标
由NICK789提供
Schmitt Hysteresis Momentum [forexobroker]Schmitt Hysteresis Momentum applies a textbook control-theory Schmitt trigger to rate of change. Two ATR-scaled thresholds (one positive, one negative) form a hysteresis band: state flips up only when RoC clears the upper threshold, flips down only when RoC clears the lower. Within a held state, EMA crosses provide entry timing — multiple entries per state without flip-flop. 🔶 ALGORITHM 1. RoC = (close - close ) / close . 2. Adaptive thresholds: upper = +k * (atr / close); lower = -k * (atr / close). 3. State machine: state := +1 if RoC > upper, -1 if RoC < lower, hold previous otherwise. 4. EMA cross within state direction provides the entry trigger. 🔶 SIGNAL LOGIC - Buy: state == +1 AND close crosses EMA up AND not already long AND cooldown elapsed AND barstate.isconfirmed. - Sell: state == -1 AND close crosses EMA down. - Position-lock state machine. 🔶 INPUTS - RoC Lookback (default 10) - Pullback EMA Length (default 8) - Threshold k x ATR Pct (default 0.30) - Cooldown Bars (default 4) - Visual: dashboard, glow, EMA toggle, buy / sell colors 🔶 ALERTS SHM Buy, SHM Sell, SHM Any Signal, SHM Bull Lock, SHM Bear Lock, SHM Upper Cross, SHM Lower Cross, SHM EMA Up, SHM Webhook JSON. 🔶 LIMITATIONS - Hysteresis prevents flip-flop but slightly lags one-shot regime changes vs single-threshold logic. - ATR-scaled thresholds are stationarised by atr_pct; very low-volatility periods can leave the state stuck for many bars without entries. - RoC lookback length affects responsiveness; defaults assume 5m to 1H bars. - This is a momentum-state engine, not a trend-strength meter; it tells you what regime you are in, not how strong it is.
Pine Script®指标
由forexobroker提供
1
Trend Maturity Ladder [AGPro Series]Trend Maturity Ladder 🧠 Core Idea Is the trend still early, healthy, mature, stretched, or vulnerable to exhaustion? 📌 Overview / What it does Trend Maturity Ladder is a trend lifecycle visualization tool built to classify the stage of an active trend. The script builds a staged trend ladder, maps a healthy pullback shelf, marks an invalidation shelf, tracks maturity score, evaluates extension, identifies exhaustion risk, and summarizes the current lifecycle state in an AG Pro panel. It does not predict price direction, automate trades, or claim that a mature trend must reverse. It is a structured decision-support tool for reading trend stage, pullback quality, and late-trend risk. 🎯 Purpose & Design Philosophy Many trend tools answer only one question: Is price trending? This script was built to answer a more useful question: Where is the trend in its lifecycle? The design goal is to help traders separate early trend development, healthy continuation, mature structure, stretched extension, and invalidation pressure. ⚡ Why This Script Is Different Most trend tools focus on moving average direction, ribbon color, or generic trend strength. This script does NOT act as another trend-strength meter or moving-average ribbon. Instead, it models the trend as a ladder with stages: early trend, active trend, mature trend, stretched trend, exhaustion watch, and invalidation pressure. It combines trend alignment, slope, ADX, distance from the slow trend reference, trend age, pullback depth, and momentum risk into one visual lifecycle map. ⚙️ Methodology 1. Context Detection The script checks fast, slow, and anchor trend alignment to determine whether the market has a bullish trend, bearish trend, or mixed structure. 2. Maturity Scoring It scores trend age, ATR-adjusted extension, slope, ADX, and moving-average alignment to estimate how mature the trend is. 3. Pullback Evaluation It builds a healthy pullback shelf around the trend references and checks whether price is pulling back without breaking the broader ladder. 4. Exhaustion and Invalidation Review It identifies late-trend extension risk and invalidation pressure when price closes through the trend shelf. 5. Visual Output The chart displays maturity ladder zones, pullback shelves, invalidation shelves, trend rails, event labels, right-side tags, alerts, and a compact AG Pro panel. 🗺️ How to Read the Chart Trend Maturity Ladder = the active lifecycle zone around the current trend. Healthy Pullback Shelf = the area where pullbacks can remain structurally constructive. Invalidation Shelf = the area where the trend ladder becomes vulnerable. Trend Rails = fast, slow, and anchor trend references. EARLY TREND = trend alignment is fresh. ACTIVE TREND = trend structure is aligned and still developing. MATURE TREND = trend has aged and expanded meaningfully. STRETCHED TREND = the trend is extended relative to its slow reference. EXHAUSTION WATCH = maturity, extension, and momentum conditions suggest late-trend risk. INVALIDATION PRESSURE = price has closed through the invalidation shelf. Panel = summarizes trend stage, maturity score, direction, pullback health, exhaustion risk, age, extension, and next context. 🚦 Signals & States • EARLY TREND → trend alignment is fresh and still developing. • ACTIVE TREND → trend is aligned and not yet deeply mature. • MATURE TREND → trend has aged and expanded. • STRETCHED TREND → price is extended from the slow trend reference. • HEALTHY PULLBACK → price has pulled into the trend shelf without invalidating it. • EXHAUSTION RISK → maturity, extension, and momentum risk are aligned. • INVALIDATION PRESSURE → price has closed through the invalidation shelf. • NO CLEAR TREND → fast, slow, and anchor references are not aligned. 🔔 Alerts Logic Alerts trigger when a major trend lifecycle state appears. • Trend Maturity Transition → the active trend stage changes. • Healthy Trend Pullback → price pulls into the healthy trend shelf without invalidating the ladder. • Trend Exhaustion Risk → maturity, extension, and momentum conditions align. • Trend Invalidation Pressure → price closes through the invalidation shelf. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The context becomes stronger when: • Fast, slow, and anchor trend references align • The slow reference has directional slope • ADX supports directional structure • Pullbacks respect the healthy shelf • Extension is not excessively stretched • The panel state agrees with the chart label Late-trend caution increases when maturity, extension, and RSI pressure align. 📊 When to Use • Trend-following review • Pullback continuation planning • Late-trend risk monitoring • Crypto, stocks, futures, forex, and liquid markets • 30m, 1H, 4H, 1D, and 1W charts • Markets where trend structure is visible ⚠️ When NOT to Use • Very choppy, non-directional markets • Low-liquidity assets • Extremely noisy micro timeframes • Markets with frequent gaps that distort trend references • Situations where a single trend score should not be over-interpreted • When the user wants guaranteed entries or exits 🎛️ Key Inputs • Fast Trend Length → controls short-term trend pressure. • Slow Trend Length → controls the main maturity reference. • Anchor Trend Length → filters weak or mixed trend regimes. • ATR Length → controls ladder spacing, extension scoring, and label offsets. • Early Trend Max Age → defines how long a fresh trend can remain early. • Mature Trend Age → defines when age contributes strongly to maturity. • Stretched Distance ATR → defines when trend extension becomes stretched. • Healthy Pullback Width ATR → controls the pullback shelf thickness. • Invalidation Shelf ATR → controls the distance of the invalidation shelf. • Exhaustion RSI Level → adds momentum pressure to exhaustion-risk logic. 🖥️ Interface & Visual Design The visual hierarchy is built around the trend lifecycle: The ladder shows the active maturity zone. The pullback shelf shows where continuation can be evaluated. The invalidation shelf shows where the trend becomes vulnerable. Event labels mark lifecycle transitions and risk states. Right-side tags keep the current trend stage visible. The AG Pro panel compresses the current trend lifecycle into a fast, readable summary. 🧪 Practical Usage Workflow 1. Read the panel trend stage. 2. Check whether trend direction is aligned. 3. Locate the healthy pullback shelf. 4. Watch whether price respects or breaks the shelf. 5. Check maturity score and exhaustion risk. 6. Confirm with market structure, liquidity, volume, and risk planning. 🔍 Interpretation Guidelines An early trend does not guarantee continuation. A mature trend does not guarantee reversal. Exhaustion risk does not mean price must immediately turn. Invalidation pressure means the current ladder structure has weakened. The script is best used to understand trend lifecycle context, not to replace independent analysis. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed entry or exit signals. It is not a moving-average ribbon or a simple trend-strength meter. ⚠️ Limitations & Transparency Trend stages depend on timeframe. Choppy markets can create frequent stage changes. Strong news moves can stretch trend references quickly. Low-liquidity markets may create unreliable trend readings. Different assets may require different trend lengths. 🧠 Market Context Notes Trends often move through recognizable phases: alignment → expansion → maturity → extension → pullback or invalidation. This script visualizes that sequence so the user can avoid treating every trend as equally fresh. 🧾 Use Case Examples If trend references align shortly after a transition, the script may classify EARLY TREND. If price pulls into the shelf while the ladder remains intact, the script may mark HEALTHY PULLBACK. If the trend becomes aged and extended while RSI is stretched, the script may mark EXHAUSTION RISK. If price closes through the invalidation shelf, the script may mark INVALIDATION PRESSURE. 🧱 System Philosophy The goal is not to chase trend strength. The goal is to understand trend timing. This script treats trend as a lifecycle: early → active → mature → stretched → vulnerable. 🔐 Non-Promise Statement No trend stage guarantees future price direction. No pullback shelf guarantees continuation. No exhaustion label guarantees reversal. All outputs should be interpreted as analytical context. 📉 Risk Disclosure Trading involves risk. This script is for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users are fully responsible for their own decisions, risk management, and trade execution. 📚 Educational Note Use the script to study where trends tend to age, stretch, reset, or fail. The most important question is not only whether a market is trending. The better question is whether the trend is still fresh enough to deserve attention.
Pine Script®指标
由AGProLabs提供
AI SMC Pro v2AI SMC Order Flow Pro v2.0 is an advanced Smart Money Concepts indicator combining ICT methodology, multi-timeframe analysis, Bayesian AI scoring, and order flow estimation — all in a single non-repainting overlay. Core Features: BOS & CHoCH structure detection Bullish & Bearish Order Blocks (auto-invalidation) Fair Value Gaps (auto-fill detection) Liquidity levels (LQH / LQL) Premium & Discount zones Session High/Low (Asia, London, New York) Support & Resistance (50-bar dynamic) AI Engine: Bayesian confidence score (0–100%) combining trend, momentum, MACD, volume, structure, order flow, MTF bias, session and zone Three modes: Conservative / Balanced / Aggressive Order Flow Module: Estimated buy/sell pressure Estimated delta & cumulative delta Volume spike detection Signals: LONG / SHORT entries with SL, TP1, TP2 ATR-based risk management (customizable multipliers) Minimum R:R filter (1:2 / 1:3 / 1:4) Session filter (London & New York only) MTF confirmation required Built-in Backtest: Win rate, Profit Factor, Expectancy Max win/loss streak Trailing stop & Break-even options Best used on: EUR/USD · GBP/USD · 15m timeframe during London or New York session.
Pine Script®指标
由DeSte_3n3a提供
[3Commas] Trail Hunter - Indicator Trail Hunter - Indicator 🔷 What it does: This indicator visualizes a long-only mean-reversion signal framework on liquid instruments. It marks dual-confluence entry signals (MA cross-under + CCI oversold), tracks a virtual deal lifecycle on the chart with trailing take-profit and hard stop loss management, and exposes webhook-ready alerts for automated execution through an external DCA Bot. No orders are placed by the indicator itself — it is a pure signal and visualization layer. Base Order signal: SMA(24) crosses below SMA(31) on 1h (default) AND CCI(11) on 1h crosses below −80 Exit signal: trailing take-profit activated at +1.5% with 0.05% trailing deviation, or hard stop at −3.25% Single entry per cycle — no averaging, no safety order ladder On-chart virtual P&L tracker: Net Profit, Max Drawdown, Trades, Win Rate, Profit Factor 🔷 Who is it for: Bot operators who need a visual confirmation layer for automated mean-reversion execution. Discretionary traders who use dual-indicator confluence logic manually and want clear on-chart triggers. Free-tier TradingView users who want access to the same signal logic as the Strategy version without requiring backtest functionality. Cross-instrument testers who run the same signal framework across crypto perpetuals, spot pairs, and equity tickers. 🔷 How does it work: Long Entry: A long signal fires when two conditions align within a configurable keep-alive window — SMA(24) crosses below SMA(31) on the signal timeframe AND CCI(11) drops below −80 on the same timeframe. The indicator marks the entry with a green "L" triangle below the bar and stores the entry price as the reference for the trailing exit. Short Entry: Not used — long-only signal framework by design. Exit Management: Two exit conditions are armed simultaneously after entry. The trailing exit activates when price reaches Entry × (1 + Take Profit %), then follows the highest price reached with the deviation gap; if price retraces by the deviation amount from peak, the indicator marks the exit with a cyan diamond. The hard stop closes the virtual deal if price drops to Entry × (1 − Stop Loss %). Whichever condition fires first wins. The virtual P&L tracker captures the realized return at the actual fill price (peak − deviation for trail; SL price for stop). 🔷 Why it's unique: Dual-indicator confluence — neither signal acts alone. The MA cross-under confirms short-term momentum exhaustion against the medium-term trend, and the CCI extreme confirms statistical oversold conditions. Requiring both filters out single-indicator false positives common to either condition during sideways regimes. Configurable keep-alive window (default 3 bars) lets the two confirmations align without requiring exact same-bar synchronization. Trailing-exit architecture with full peak-tracking — the indicator computes the running peak from entry and triggers exit only when price retraces by the configured deviation from that peak. This is a true trailing simulation, not a fixed take-profit shortcut, and produces stats that match the underlying Strategy version closely. Bot Integration — entry and exit alerts ship with webhook-ready JSON payloads, enabling direct trigger of a connected DCA Bot. Bot ID, Email Token, and pair label are exposed as inputs and automatically embedded into the alert message format. 🔷 What you'll see on the chart: Cyan line — Fast MA on the signal timeframe (default SMA 24) Orange line — Slow MA on the signal timeframe (default SMA 31) Orange triangle (above bar) — MA cross-under signal fired Cyan triangle (below bar) — CCI cross-under −80 signal fired Green "L" triangle (below bar) — Combined entry signal armed; virtual deal opens Cyan diamond — Trailing TP, fixed TP, or hard SL triggered; virtual deal closes Cyan line (when in deal) — Entry price reference Lime line (when in deal) — Trailing TP activation level Red line (when in deal) — Stop Loss level Stats card (top-left, configurable) — Live virtual backtest results: Net Profit, Max Drawdown, Total Trades, Win Rate, Profit Factor 🔷 Considerations Before Using the Indicator: Market & Timeframe: Designed for 1-hour base charts on liquid instruments with frequent MA crossings — major crypto perpetuals (BTC, ETH, SOL), spot pairs on Coinbase and Bybit, and high-volume equities. The signal timeframe is independent of the chart timeframe — you can run on a 15m chart with 1h signals if you want fine-grained visualization with structural signal timing. Limitations: The indicator does not place orders. It tracks a "virtual deal" state on the chart for visualization purposes only — actual execution must be performed through a connected bot or manually. This is a single-entry framework with no averaging, so a wrong entry caps at the −3.25% hard stop without recovery. The strategy carries no higher-timeframe regime filter, so it can signal long entries during sustained downtrends. For deployment in bearish regimes, consider gating the alerts manually with a higher-timeframe trend filter. Virtual P&L Accuracy: The on-chart stats card uses a simplified internal accounting model — it does not factor exchange commission or slippage. The trailing exit simulation uses peak-tracking on the chart bar's high, which is an approximation of real intra-bar execution. Use the Strategy version for fee-adjusted backtest results. Backtesting & Demo Testing: Always validate the signal framework on historical data before connecting to a live bot. The companion Strategy version of this script is available on the same profile for full backtest analysis with realistic commissions and slippage. Demo-trade for at least one month to observe behavior in conditions not represented in historical data. Past performance is not indicative of future results. Parameter Adjustments: MA lengths, CCI threshold, signal timeframe, take-profit activation, trailing deviation, and stop loss should all be tuned per instrument volatility profile. Lower-volatility instruments work better with tighter MA pair, lower CCI threshold, and smaller trailing deviation. Higher-volatility instruments need wider parameters. 🔷 Backtest Validation: This indicator shares identical signal logic with the Strategy version of the same framework, available on this profile for full historical performance review with realistic commission and slippage: Strategy version: Reference results from the Strategy version on COINBASE:BTCUSD, 1h chart, tested period May 12, 2025 — May 12, 2026: Net Profit: +13.09 USD (+0.13%) | Max Drawdown: 7.91 USD (0.08%) | Total Trades: 66 | Win Rate: 69.70% (46/66) | Profit Factor: 1.254 The strategy is positioned as a capital-preservation framework — extreme drawdown control (under 0.1% on the tested window) with positive expectancy. Refer to the Strategy publication for the complete equity curve, trade-by-trade breakdown, and Strategy Tester report. 🔷 How to Use It: 🔸 Adjust Settings: Configure the MA lengths, CCI threshold, signal timeframe, and exit parameters for the instrument you intend to trade. Defaults are calibrated for 1-hour BTC Spot on Coinbase. For lower-volatility instruments, tighten the MA pair and lower the trailing deviation; for higher-volatility instruments, do the opposite. The Initial Capital input (default 10,000) is used only for percentage calculations in the stats card — it does not affect signal logic. 🔸 Visual Confirmation: Use the on-chart projections (entry line, TP activation, SL level) to verify that the active virtual deal aligns with your bot's actual position. The indicator's virtual deal state is a 1-to-1 mirror of the Strategy version's signal logic, so any divergence between chart visuals and bot position is a flag for investigation. The MA and CCI signal triangles let you trace exactly when each condition fired in the entry stack. 🔸 Create alerts to trigger the DCA Bot: Two alert events are exposed by the indicator — "Deal Start" fires on each new combined entry signal, and "Deal Close" fires when any of the three exit conditions (trailing TP, fixed TP, or stop loss) triggers. Configure both alerts in TradingView with the webhook URL pointing to your DCA Bot's signal endpoint. The Bot ID, Email Token, and Pair label can be set in the script's inputs and are automatically embedded into the alert JSON payload. 🔷 INDICATOR SETTINGS MA Type — Moving average type for entry calculation (SMA or EMA). Fast MA Length — Period of the fast moving average (default 24). Slow MA Length — Period of the slow moving average (default 31). MA Cross Timeframe — Timeframe on which the MA cross is computed. Use MA Cross signal — Toggle the MA condition on or off in the entry stack. CCI Length — Period for the CCI indicator (default 11). CCI Oversold Threshold — Value below which CCI must cross to qualify as oversold (default −80). CCI Timeframe — Timeframe on which the CCI cross is computed. Use CCI signal — Toggle the CCI condition on or off. Combine Signals — AND requires both conditions within the keep-alive window; OR fires on either alone. Signal Keep-Alive (bars) — Number of bars within which both signals must align for AND mode (default 3). Base Order Volume (USDT, ref) — Reference notional for virtual P&L calculation. Take Profit % (activation) — Profit level at which the trailing exit arms. Enable Trailing — Toggle trailing behavior on the take-profit exit. Trailing Deviation % — Distance from the peak price at which the trailing exit fires. Enable Stop Loss — Toggle the hard stop loss on or off. Stop Loss % (from entry) — Maximum acceptable loss from entry price. Initial Capital (ref for % calc) — Reference capital base for percentage metrics in the stats card. Visual Layer toggles — Show/hide MA lines, entry line, TP/SL lines, signal triangles. Stats card / Watermark — Display layer controls for on-chart virtual backtest summary and branding. Webhook — Bot ID, Email Token, and Pair label for DCA Bot signal routing. 👨🏻‍💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented. __ The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Pine Script®指标
由3Commas提供
2
Lempel Ziv Trend Coder [forexobroker]Lempel Ziv Trend Coder encodes the recent sign sequence of price changes into 3-bit (sign , sign , sign ) windows and tracks the frequency distribution of the eight resulting patterns. When one pattern dominates the share, the price sequence is structurally biased — that is the trending regime. Direction comes from the up-bar fraction. 🔶 ALGORITHM 1. For each k in , encode (b0, b1, b2) where bi = close > close . 2. Increment count where p = b0 * 4 + b1 * 2 + b2 (0..7). 3. dominance = max(count) / sum(count). Uniform random = 0.125. 4. Trending regime when dominance >= threshold. 5. Direction bias from up-bar fraction in the same window. 🔶 SIGNAL LOGIC - Buy: trending AND up-fraction > 0.5 AND close crosses EMA up AND not already long AND cooldown elapsed AND barstate.isconfirmed. - Sell: trending AND up-fraction < 0.5 AND close crosses EMA down. - Position-lock state machine. 🔶 INPUTS - Sign Window (default 40) - Pullback EMA Length (default 8) - Min Dominance (default 0.20) - Cooldown Bars (default 4) - Visual: dashboard, glow, EMA toggle, buy / sell colors 🔶 ALERTS LZT Buy, LZT Sell, LZT Any Signal, LZT Trend Start, LZT Chop Start, LZT Very Trendy, LZT Very Choppy, LZT EMA Up, LZT Webhook JSON. 🔶 LIMITATIONS - 3-bit encoding ignores bar magnitude; a tiny tick contributes the same as a large move. - "Distinct patterns observed" alone saturates at 8 quickly with N >= 40 bars; dominance is a more discriminative measure but still coarse. - LZ true complexity is closer to a substring count than a pattern-frequency count; this is a tractable approximation. - Direction comes from up-fraction, not the LZ measure itself; in true random regimes the direction signal is meaningless and the regime gate correctly mutes signals.
Pine Script®指标
由forexobroker提供
Momentum ScoreMomentum Score — Full Criteria Table A comprehensive momentum scoring system that evaluates a stock across 13 weighted criteria and produces a single score out of 100. Designed for growth stock and momentum traders who want a fast, objective read on whether a stock is in a high-quality trending state. How It Works Each criterion is assigned a weight based on its importance to momentum quality. When a criterion passes, its weight is added to the total. The final score out of 100 tells you at a glance how strong the setup is: ≥ 80 — High momentum. Stock is exhibiting the full suite of leading characteristics. 60–79 — Developing. Momentum is building but not fully confirmed. < 60 — Weak. Too many criteria failing for a high-conviction setup. The 13 Criteria Trend (32 pts) Price > 20-day EMA (6 pts) Price > 50-day EMA (8 pts) Price > 200-day EMA (9 pts) EMA Stack: 20 > 50 > 200 (9 pts) Relative Strength (28 pts) 52-week RS vs benchmark (11 pts) — stock outperforming over 12 months 3-month RS vs benchmark (8 pts) — recent outperformance confirmed Momentum Persistence (9 pts) — IBD-style weighted composite of 3m/6m/9m/12m returns (40/20/20/20 weighting) Price Structure (20 pts) Within 25% of 52-week high (8 pts) At or near 52-week high — ATR-adjusted (8 pts) Positive 6-month return (4 pts) Volume (6 pts) Up-day volume > down-day volume over 20 sessions (6 pts) — accumulation signal Trend Intensity (8 pts) EMA13 / EMA65 × 100 ≥ 108 (8 pts) — Qullamaggie filter requiring short-term trend to be 8%+ above long-term trend Volatility / Tradability (6 pts) 20-day Average Daily Range ≥ 2% (6 pts) — ensures the stock has enough daily movement to be worth trading ATR-Adjusted "Near High" Criterion The near-52-week-high check uses ATR(20) as the yardstick rather than a fixed percentage. A stock passes if the gap between current price and its 52-week high is less than one ATR. This means a volatile $2 stock and a stable $50 stock are judged by the same standard — their own normal daily range — rather than an arbitrary 5% cutoff. Falls back to 5% if ATR is unavailable. Benchmark Auto-Selection The indicator detects the exchange of the chart symbol and selects the appropriate benchmark automatically: ASX → XJO (S&P/ASX 200) All other exchanges → SPX (S&P 500) Relative strength calculations for both the 12-month and 3-month periods are computed against this benchmark. Display Results are shown in an overlay table with three columns: criterion name, pass/fail tick, and the underlying value. A toggle in settings lets you hide failing criteria to keep the table compact when a stock scores well. Score colour mirrors the tier system — lime for high momentum, amber for developing, red for weak. Alerts Three alert conditions are included: Score crosses above the high threshold (default 80) Score crosses above the medium threshold (default 60) Score drops back below the medium threshold Both thresholds are configurable in the indicator settings. Methodology Credits EMA trend structure — standard momentum framework RS composite weighting — inspired by IBD Relative Strength methodology Trend Intensity (EMA13/EMA65) — based on Kristjan Qullamaggie's high-momentum scan filter ATR-adjusted high proximity — volatility-normalised version of the classic "near new high" criterion
Pine Script®指标
由Jimmy_Trader提供
WaveTrend XWaveTrend X (WVTX) A WaveTrend rebuild from first principles. Where the classic WaveTrend ( LazyBear ) normalizes its Channel Index by an arbitrary 0.015 constant inherited from CCI and smooths the result with double exponential moving averages, WVTX replaces both with components that adapt to the data: The CI normalization uses rolling standard deviation instead of 0.015. The smoothing uses a 1-D Kalman filter with ATR-adaptive process noise instead of double-EMA. The fixed ±60 / ±53 OB/OS bands become adaptive rolling-percentile bands. Signals are gated by a Hurst regime proxy (mean-reversion vs trending) and a Shannon entropy filter (noise suppression). Liquidity quality scales line opacity so low-volume readings visually fade. All markers fire only on confirmed bars — explicitly no-repaint. The default channel and signal periods are tuned for slower, more structural use than classic WaveTrend — see the Notes section for how to revert to classic intraday WT speeds. How it works The oscillator is built in five layers: 1. Channel Index (std-normalized). The standard WaveTrend CI is price's deviation from a moving average, normalized by a hard-coded constant. WVTX uses: CI = (src − anchor) / stdev × 50 The anchor is VWMA (default) or EMA over the channel period. The stdev is computed over the same window. The constant disappears — the oscillator's amplitude now reflects actual recent volatility, not a one-size-fits-all multiplier. 2. Kalman smoothing. A 1-D Kalman filter replaces the double-EMA that produces the WT1 line in classic WaveTrend. The filter balances two tunable noise terms: Process noise Q — how much you trust the CI to change between bars. Higher = faster, less smooth. Measurement noise R — how much measurement error you assume. Higher = smoother, more lag. With ATR-adaptive Q enabled (default), Q scales with normalized ATR — so the filter responds faster in volatile conditions and smooths harder in calm ones. This addresses classic WaveTrend's weakness of being either too slow during impulsive moves or too noisy during chop, never both right at once. WT2 is then a longer EMA of WT1 (the signal line, classic WaveTrend convention). 3. Hurst regime proxy. A two-window standard-deviation ratio approximates the Hurst exponent: H ≈ log₂(stdev(src, n) / stdev(src, n/2)) H > 0.5 = trending (volatility grows faster than √n); H < 0.5 = mean-reverting; H ≈ 0.5 = random walk. The configurable dead-band around 0.5 prevents constant regime-flipping near the boundary. Signals are gated accordingly: in trending regimes, both cross directions are allowed; in mean-reverting regimes, signals only fire from the extremes (WT1 in the bottom or top 30%) where reversion probability is structurally elevated. 4. Shannon entropy noise gate. The recent return distribution is binned into 8 equal-width bins, and Shannon entropy computed: H = −Σ pᵢ · log(pᵢ) / log(N_bins) Bounded . Low entropy = concentrated return distribution (structured market); high entropy = uniform distribution (random/noise). When entropy exceeds the configured maximum (default 0.72), signals are suppressed — the oscillator stops emitting markers in conditions where the return statistics suggest no exploitable structure. 5. Adaptive OB/OS. Instead of fixed thresholds, OB and OS bands are the configurable percentiles (default 82% and 18%) of WT1's distribution over a rolling window. The bands move as the oscillator's range shifts — useful for instruments whose volatility regime changes substantially over time. How to read it Three lines and an area: WT1 (main oscillator) — colored by its rolling percentile rank. Cool teal at the high extreme, slate near the middle, coral at the low extreme. WT2 (signal line) — light slate, follows WT1 with EMA lag. Diff = WT1 − WT2 (area) — teal area above zero, coral below. Visualizes the momentum between WT1 and the signal line. Adaptive OB and OS bands are colored by direction (coral above, teal below), with tinted fills extending to the ±50 boundaries. Background regime tint: Teal — trending regime (Hurst above the band) Purple — mean-reverting regime (Hurst below) No tint — neutral / random walk Entropy trace (amber, optional) — recentered around zero and scaled for visibility in the same pane. Above zero = recent returns more random than baseline; below zero = more structured. Signal markers: Teal triangle below pane — confirmed bullish cross (WT1 crosses up WT2, entropy structured, regime allows, WT1 in lower half) Coral triangle above pane — confirmed bearish cross (same gates, opposite direction, WT1 in upper half) Markers fire only on closed bars. There is no intra-bar signal display, by design. Inputs Price source — default hlc3. Channel period — lookback for the VWMA/EMA anchor and stdev normalization. Default 40. Signal period — EMA period for the WT2 signal line. Default 16. VWMA anchor — use VWMA instead of EMA as the price anchor. Default on. Kalman Q / R — process and measurement noise. Defaults 0.02 / 0.8. ATR-adaptive Q — scale Q with normalized ATR. Default on. Hurst regime gate / window / band — toggle, window, dead-band around 0.5. Defaults on / 60 / ±0.05. Entropy noise gate / window / max — toggle, window, entropy ceiling. Defaults on / 40 / 0.72. Liquidity quality scale / window — fade line opacity by recent volume rank. Defaults on / 50. OB/OS rank window / overbought / oversold percentile — sets the adaptive bands. Defaults 100 / 82% / 18%. Regime background / entropy trace — display toggles. Built-in alerts Bull cross — confirmed bullish crossover, gates passed Bear cross — confirmed bearish crossover, gates passed Bull cross, deep OS — bull cross from below the 20th percentile (high-quality setup) Bear cross, deep OB — bear cross from above the 80th percentile (high-quality setup) Trending regime — Hurst transitions into the trending zone Mean-rev regime — Hurst transitions into the mean-reverting zone The two "deep" alerts are the most actionable — a confirmed cross from the extremes of the rolling distribution is structurally more interesting than a cross near the middle. Notes The classic LazyBear WaveTrend uses channel period 10 and signal period 21 — fast, oscillator-style behavior suited to intraday momentum trading. WVTX's defaults are 40 and 16, four times slower. This is deliberate: with adaptive smoothing (Kalman + ATR), liquidity scaling, and entropy/regime gating layered on top, fast periods produce too many marginal signals for the gates to filter cleanly. Slower periods produce fewer but more structural crosses, which is where the gates earn their keep. If you want classic intraday WaveTrend behavior, set channel period to 10 and signal period to 21 — the math still works, just with more frequent (and noisier) output. The Kalman smoother is the most consequential of the rebuilds. Classic WaveTrend's double-EMA introduces predictable lag that traders learn to anticipate; the Kalman filter's adaptive smoothing means the lag isn't constant — it tightens in fast moves and relaxes in chop. For mean-reversion traders, this means signal markers are closer to the actual reversal pivot. For trend-followers, it means the oscillator follows directional moves more responsively. The Hurst regime gate makes the indicator behave differently in different markets. In a trending instrument (most major indices in their secular uptrends), the gate is permissive — crosses fire freely. In a mean-reverting instrument (ranging FX pairs, sideways equities), the gate restricts crosses to the extremes of the rolling distribution, where reversion probability is highest. The dead-band around 0.5 prevents flickering when the regime is ambiguous. The entropy gate is the most novel filter. It asks a different question from regime detection: not "what kind of market is this" but "is there any structure in the recent return distribution?" When entropy is high (close to 1.0), the distribution looks essentially uniform — no recurring pattern for an oscillator to exploit. The gate stops signals from firing in those conditions, which historically catches a lot of false WaveTrend crosses during news-driven chop. The adaptive OB/OS bands are tuned for traders who switch between instruments. Fixed ±60/±53 levels work fine on a single instrument with stable volatility; they're systematically wrong on instruments whose volatility regime changes substantially. Percentile bands self-calibrate, so the same indicator settings work across SPY, BTC, and EURUSD without manual retuning. The non-repaint design is enforced by barstate.isconfirmed — signals fire only when the bar has closed and won't be revised. Intra-bar, you may see WT1 approaching a cross; the marker only appears once the bar closes with the cross confirmed. The conservative choice: signals you can rely on for backtesting and live execution, at the cost of waiting until the bar ends. This is a signal generator with multiple filtering layers — but a signal is information, not an instruction. Five years of work on a trading system left me with dozens of indicators that ultimately didn't earn a place in the final build. They're not failures — they're tools that solved problems I no longer needed solved. So instead of shelving them, I'm publishing the majority of them open-source. If you're a discretionary trader, take what's useful. If you're a systems builder, the source is yours to dissect, modify, and improve. The best return on five years of work is for it to keep working — for someone. If you use this script — or part of it — in your own work, please credit the original with a link back to my profile. Note: these indicators have been updated to Pine Script v6 — some manually, some with AI assistance.
Pine Script®指标
由TradeSymbiotic提供
Maghamsi Market Radar [Multi-Asset] Maghamsi Market Radar Overview The Maghamsi Market Radar is a comprehensive multi-asset monitoring tool designed to track the trend and momentum of up to 40 financial instruments simultaneously. It provides a real-time dashboard directly on your chart, helping traders identify potential opportunities across the Saudi Stock Exchange (TASI), NASDAQ, or any other market supported by TradingView. Technical Logic The indicator evaluates assets based on two primary technical layers: 1. Trend Confirmation: Uses a Long-term Exponential Moving Average (EMA) to determine the overall market direction. 2. Momentum Analysis: Utilizes a Linear Regression-based momentum oscillator to detect strength and early shifts in price action. 3. Volume Surge (SOS): Monitors significant volume spikes relative to the average to identify institutional interest. Key Features • Dual-Language Support: Toggle between English and Arabic interfaces via settings. • Customizable Layout: Move the dashboard to any corner of your chart to maintain visibility. • Full Asset Names: Displays both the ticker and the company description for better clarity. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves significant risk, and you should always conduct your own research before making any investment decisions. ________________________________________ الوصف باللغة العربية رادار المغامسي للسوق نظرة عامة يعد "رادار المغامسي" أداة مراقبة متطورة مصممة لتتبع الاتجاه والزخم لـ 40 ورقة مالية في وقت واحد. يوفر المؤشر لوحة تحكم فورية مباشرة على الرسم البياني، مما يساعد المتداول على تحديد الفرص المحتملة في السوق السعودي (تاسي)، أو الأسواق العالمية مثل نيزداك، أو أي سوق تدعمه منصة تريدنق فيو. المنطق الفني يقوم المؤشر بتقييم الأصول بناءً على طبقتين فنيتين أساسيتين: 1. تأكيد الاتجاه: استخدام المتوسط المتحرك الأسي (EMA) طويل المدى لتحديد المسار العام للسوق. 2. تحليل الزخم: يعتمد على مذبذب الزخم المبني على الانحدار الخطي (Linear Regression) لاكتشاف القوة والتحولات المبكرة في حركة السعر. 3. طفرات الأحجام (SOS): مراقبة الزيادات الكبيرة في أحجام التداول بالنسبة للمتوسط للكشف عن دخول السيولة. الميزات الرئيسية • دعم ثنائي اللغة: إمكانية التبديل بين الواجهة الإنجليزية والعربية من الإعدادات. • تخصيص الموقع: يمكنك تحريك لوحة الرادار إلى أي زاوية في الشاشة لضمان وضوح الرسم البياني. • أسماء الشركات كاملة: يعرض الرمز مع وصف الشركة لزيادة الدقة في المتابعة. إخلاء المسؤولية هذا المؤشر مخصص للأغراض التعليمية والمعلوماتية فقط، ولا يعتبر توصية فنية أو نصيحة استثمارية. ينطوي التداول على مخاطر كبيرة، ويجب عليك دائماً إجراء بحثك الخاص قبل اتخاذ أي قرار استثماري.
Pine Script®指标
由wmaghmsi提供
Neural Weight Oscillator (Zeiierman)█ Overview The Neural Weight Oscillator (Zeiierman) is an adaptive multi-factor oscillator that combines structured decision-making with dynamic market learning. The script analyzes three core market behaviors: Trend, Mean Reversion, and Momentum. Instead of treating these components equally, the oscillator uses the Best-Worst Method (BWM) to determine which market behavior should have the greatest influence under current market conditions. An adaptive training layer then studies historical market reactions and gradually amplifies the features that have recently produced the strongest directional behavior. The result is a hybrid oscillator that blends: Human-defined market logic Adaptive feature weighting Multi-factor momentum analysis Dynamic market learning Unlike traditional oscillators that rely on static formulas, the Neural Weight Oscillator continuously adjusts its internal structure based on both trader-defined weighting preferences and changing market behavior. █ How It Works ⚪ Market Structure Engine The oscillator builds its analysis from three independent behavioral models: Trend, Mean Reversion, and Momentum. The Trend component measures structural direction by comparing the fast EMA against the slow EMA, then adds the EMA slope to capture acceleration. trendSpread = (emaFast - emaSlow) / atr trendSlope = (emaFast - emaFast ) / atr trendScore = normalize(trendSpread + trendSlope, -2.5, 2.5) The Mean Reversion component measures stretched conditions using RSI exhaustion and statistical deviation from the market mean. zScore = dev == 0 ? 0 : (close - basis) / dev meanScore = (100 - rsi) * 0.5 + normalize(-zScore, -2.5, 2.5) * 0.5 The Momentum component measures directional acceleration using ROC, RSI momentum, and EMA velocity. rocNorm = normalize(close / close - 1.0, -0.05, 0.05) momentumScore = rocNorm * 0.45 + rsi * 0.35 + emaMomentum * 0.20 Each component produces its own normalized score before being blended into the final oscillator. ⚪ Best-Worst Method (BWM) The core weighting system in the oscillator is based on the Best-Worst Method (BWM), a structured decision-making framework that creates balanced weighting relationships among multiple factors. bestIdx = criterionIndex(bestCriterion) worstIdx = criterionIndex(worstCriterion) array.set(bo, bestIdx, 1.0) array.set(ow, worstIdx, 1.0) Instead of assigning arbitrary percentages manually, BWM allows the trader to define which market behavior matters most and which matters least. The script then automatically calculates balanced internal weights. The process begins by selecting: The “Best” factor → the market behavior trusted most The “Worst” factor → the market behavior trusted least relWeight = math.sqrt((aBW / boVal) * owVal) The oscillator then compares all remaining factors relative to those two extremes and converts those relationships into normalized internal weights. ⚪ How To Think About The BWM Weights The easiest way to think about BWM is: “What type of market behavior do I trust most in the current environment?” Different market conditions naturally favor different behaviors. In strong directional trends , traders often prioritize Trend because structural continuation becomes the dominant force. In choppy or range-bound markets , Mean Reversion may become more important because the market repeatedly returns back toward equilibrium. During aggressive breakout environments , Momentum may deserve the highest weighting because acceleration becomes the primary driver. The goal is not to find a “perfect” weight configuration, but rather to align the oscillator with the type of behavior currently dominating the market. ⚪ Adaptive Neural Training Layer The oscillator includes an adaptive learning layer that learns how the market has recently reacted to the model’s internal features. The script looks back at prior Trend, Mean Reversion, and Momentum feature values, then compares them to the future price reaction. target = close / close - 1.0 targetDirection = target > 0 ? 1.0 : target < 0 ? -1.0 : 0.0 High-quality samples are ranked by how strong the move was relative to volatility. sampleScore = math.abs(target) / qualityVol The model then compares its internal prediction against the actual market direction and adjusts the learned feature weights over time. pred = twTrend * s.trend + twMean * s.mean + twMomentum * s.momentum + tbias err = pred - s.target This allows the oscillator to gradually learn which features are producing the strongest directional behavior. ⚪ Adaptive Feature Amplification The learned weights are converted into feature amplifiers. trendAmplifier = 1.0 + learnTrend * blend meanAmplifier = 1.0 + learnMean * blend momentumAmplifier = 1.0 + learnMomentum * blend This allows stronger features to gain more influence, while weaker features receive less influence. █ How to Use ⚪ Reading the Oscillator The oscillator operates between 0 and 100. Values above 50 suggest bullish pressure dominates the market, while values below 50 suggest bearish pressure dominates. As the oscillator moves farther away from the neutral 50 level, directional imbalance becomes stronger. Readings above 70 typically indicate strong bullish expansion, while readings below 30 indicate strong bearish pressure. Extreme zones above 80 or below 20 may signal exhaustion conditions where reversals become more likely. ⚪ Using the BWM Weighting System The BWM system allows traders to align the oscillator with current market behavior by controlling how much influence Trend, Mean Reversion, and Momentum should have inside the model. Imagine the market is trending strongly upward. You may believe: Trend is the dominant market behavior. Mean Reversion still matters during pullbacks. Momentum should have the least influence. In this case, you could choose: Best = Trend Worst = Momentum You then control how strongly Trend dominates the other factors through the comparison inputs. For example: Best-to-Others: Trend = 1 Mean = 3 Mom = 6 Relative-to-Worst: Trend = 4 Mean = 2 Mom = 1 This tells the oscillator: Trend is selected as the strongest market behavior. Momentum is selected as the weakest market behavior. Trend is 3x more important than Mean Reversion. Trend is 6x more important than Momentum. Mean Reversion is 2x more important than Momentum. The script automatically converts these relationships into balanced internal weights. As a result, the oscillator becomes more trend-sensitive while reducing the influence of short-term momentum fluctuations and weak counter-trend behavior. If the market becomes highly rotational or range-bound, traders may instead increase the importance of Mean Reversion so the oscillator becomes more responsive to exhaustion and reversal conditions. During aggressive breakout environments, increasing Momentum weighting can help the oscillator react faster to acceleration phases. The weighting system is designed to adapt the oscillator’s personality to different market environments rather than forcing one static interpretation onto every condition. █ Settings Fast EMA: controls the responsiveness of the Trend and Momentum calculations. Slow EMA: controls the structural trend baseline used throughout the oscillator. Smoothing: controls the smoothness of the final oscillator line. The Best and Worst: determine how the BWM weighting model prioritizes market behaviors. Best-to-Others: define how strongly the selected Best factor dominates the remaining components. Relative-to-Worst: define how much stronger each component is compared to the selected Worst factor. Use Training: enables the adaptive learning layer. Influence: controls how strongly the learned model amplifies features. Line Impact: controls how much the adaptive model can directly influence the oscillator line itself. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script®指标
由Zeiierman提供
9
VuManChu B PRO - Confluence EditionVersão refinada do clássico VuManChu Cipher B Divergences, focada em reduzir ruído e aumentar a assertividade dos sinais através de filtros de contexto e um sistema de score de confluência. 🙏 Créditos Este indicador é uma evolução do trabalho original do VuManChu (Cipher B Divergences), que por sua vez foi inspirado em códigos de: dynausmaux — código base LazyBear — WaveTrend Oscillator RicardoSantos — Divergence Detector LucemAnb — Plain Stochastic Divergence andreholanda73 — MFI+RSI Area falconCoin — Market Cipher B free version Todo o crédito da matemática original (WaveTrend, divergências, MFI, Stoch RSI, Schaff) vai para esses autores. Esta versão mantém os cálculos e adiciona uma camada de filtros e lógica de sinal. ⚡ O que mudou em relação ao original 🐛 Correções de bugs Removido barmerge.lookahead_on no acesso a timeframes superiores. O original "vazava" dados do futuro no backtest, gerando uma falsa impressão de precisão. Agora usa lookahead_off — backtest honesto. Migração para Pine Script v5 — código mais performático, seguro e moderno. Alertas só disparam em barstate.isconfirmed — eliminado o problema de alertas que apareciam intrabar e sumiam (repaint de alerta). 🛡️ Filtros de contexto (a maior mudança) O original mostrava sinais sem considerar o contexto de mercado. Agora há 4 filtros que podem ser ligados/desligados individualmente: Filtro de tendência (EMA 50/200): bloqueia sinais contra-tendência quando a tendência é forte. Evita "pegar faca caindo". Filtro de regime (ADX 14): descarta sinais em mercado morto (ADX < 15) e bloqueia divergências contrárias em tendência muito forte (ADX > 40). Filtro de volume: exige volume acima da média (configurável). Divergência sem volume é quase sempre falsa. Filtro de volatilidade (ATR): descarta velas pequenas demais (ruído de range). 🎯 Sistema de Score de Confluência Em vez de plotar todos os sinais (como o original fazia), o PRO usa um score de 0 a 6 pontos. O sinal só aparece quando o score atinge o mínimo configurável (padrão: 3). Critério Pontos padrão WT cross em zona OB/OS +1 Divergência WaveTrend +2 Divergência RSI +1 MFI alinhado (>0 compra, <0 venda) +1 Stoch RSI cruzando em zona extrema +1 Tendência a favor (EMA) +1 Triângulo verde-claro = score atingiu o mínimo. Triângulo verde-escuro = score forte (mínimo + 1 ou mais). Todos os pesos são configuráveis — você pode dar mais peso ao critério que confia mais. 🕐 Cooldown anti-whipsaw Configurável (padrão: 5 barras). Após um sinal, bloqueia novos sinais na mesma direção pelo período definido. Elimina aqueles clusters de pontos seguidos que confundiam o original. 📋 Painel de status em tempo real Label flutuante no canto direito mostra: Score atual de compra e venda Valor do ADX e classificação (forte/ok/fraco) Direção da tendência (UP/DOWN/FLAT) Status dos filtros de volume e ATR Você vê na hora por que um sinal está ou não sendo gerado. 🔄 Modo Clássico opcional Toggle no topo: desligando o "Modo PRO", o indicador volta ao comportamento original do VuManChu. Útil pra comparar lado a lado. 🥇 Gold Buy preservado O famoso círculo dourado do VuManChu foi mantido, mas agora também passa pelos filtros de contexto — fica ainda mais raro e ainda mais confiável. 📈 Como usar Sinais principais Sinal Significado 🔺 Triângulo verde PRO BUY — confluência mínima atingida 🟢 Triângulo verde escuro PRO BUY forte — score acima do mínimo 🔻 Triângulo vermelho PRO SELL 🟡 Círculo dourado Gold Buy — alta probabilidade (raro) ⚪ Círculos pequenos WaveTrend cross (informacional) Timeframes recomendados Sweet spot: 1h, 4h, 12h Excelente para swing/DCA: Diário, Semanal Funciona com ajustes: 15m, 30m (subir score mínimo para 4) Não recomendado: abaixo de 15m Configuração rápida por estilo Day trade (15m–1h): Score mínimo: 4 Cooldown: 8 barras ADX mínimo: 20 Swing (4h–12h): Score mínimo: 3 (padrão) Cooldown: 5 (padrão) DCA / Position (Diário–Semanal): Score mínimo: 4 Foco em Gold Buy Ignorar sinais de venda 🚨 Alertas disponíveis PRO Buy — sinal de compra com score atingido PRO Sell — sinal de venda com score atingido Gold Buy — sinal raro de alta probabilidade Classic Buy/Sell — versão original (se quiser usar) Todos os alertas disparam apenas em barra fechada (sem repaint). ⚠️ Disclaimer Este indicador é uma ferramenta de análise, não uma recomendação de investimento. Nenhum indicador acerta 100%. Use sempre: Gerenciamento de risco (stop loss, position sizing) Confluência com sua própria análise Backtest no seu ativo e timeframe antes de usar capital real Mercado é probabilidade, não certeza. DYOR. 🤝 Open Source Código aberto sob licença Mozilla Public License 2.0 (mesma do original). Fique à vontade para forkar, melhorar e contribuir. Se gostou, deixe um boost ⚡ e compartilhe seu setup nos comentários — ajuda outros traders a calibrar os filtros para seu mercado. Bons trades! 📈
Pine Script®指标
由henriqueafleal提供
Momentum Pulse | AnonycryptousMomentum Pulse | Anonycryptous Description & user manual Why this indicator is different Standard momentum indicators give you one line. RSI tells you whether the market is overbought or oversold at one specific lookback period. MACD tells you whether one moving average is pulling away from another. One perspective. One answer. The problem is that momentum does not exist at one lookback period. A 14-period RSI can be flat while a 7-period RSI is already reversing. A 21-period RSI can still be bullish while the fast momentum has already rolled over. By looking at one line you are always missing what is happening at adjacent timescales — and those are precisely where the early signals live. Momentum Pulse works differently. Instead of one RSI it runs twenty simultaneously, each at a different lookback period. The shortest strand captures the fastest momentum shifts. The longest strand reflects the slower, sustained trend. Together they form a ribbon — a fluid, living visualization of where momentum is coming from, where it is heading, and how much agreement exists across timescales. The ribbon does not just show direction. It shows compression and expansion. When the strands fan out, momentum is building with conviction. When they compress, the market is coiling — and that compression often precedes the next directional move. When the fast strands lead the slow strands, the trend has energy behind it. When they cross or collapse toward each other, momentum is fading before it is visible in price. This is momentum before the move. Important notice Momentum Pulse is provided for analytical and educational purposes only. It does not generate trading signals. It does not predict market direction. It does not guarantee any outcome. All trading decisions remain entirely with the user. Always apply your own judgment and manage your own risk. 1. Overview Momentum Pulse is a twenty-strand RSI ribbon oscillator built on RSI processed through zero lag EMA smoothing. It maps momentum across twenty simultaneous lookback periods and visualizes the full structure of momentum strength, direction, compression, and divergence in a single pane. What it includes: - Twenty RSI strands normalized to a −50 to +50 scale around a zero midline - Zero lag EMA smoothing applied per strand to reduce response lag - Fast and slow group averaging with spread-based trend detection - Twist/Squeeze detection when fast and slow groups compress below the threshold - Momentum histogram showing the distance between fast and slow group averages - Ribbon slope line showing the rate of change of the fast group average - Divergence detection comparing price pivots with fast group momentum pivots - Three presets: default for swing, fast for scalping, smooth for position trading - Live dashboard showing momentum state, averages, spread, twist, zone, slope, and divergence - Six alert conditions covering state changes, compression, and divergence events 2. Core components 2.1 RSI strands Twenty RSI calculations run simultaneously, each at a different lookback period. The first strand uses the base length. Each subsequent strand adds the length step, spreading the ribbon from fast to slow momentum perspectives. All values are normalized to a −50 to +50 scale around a zero midline, making every strand directly comparable regardless of its period. 2.2 Zero lag EMA smoothing Each RSI strand is smoothed using a zero lag EMA. Standard EMA smoothing introduces lag because it weights recent bars less than current price. ZLEMA compensates by incorporating the momentum of recent change before applying the average — the ribbon reacts to momentum shifts on the current bar, before the move has confirmed on price. 2.3 Fast and slow group trend detection The ribbon is divided into two groups. The fast group uses strands one through five — the shortest lookback periods. The slow group uses strands sixteen through twenty — the longest. When the fast group average is above the slow group average, momentum is bullish. When it is below, momentum is bearish. When the spread between the two groups falls below the twist threshold, the oscillator enters a Twist/Squeeze state. This logic is independent of overbought and oversold levels and works reliably in all market conditions. 2.4 Momentum histogram The histogram plots the distance between the fast and slow group averages near the zero midline. Wide bars indicate strong momentum separation — the trend has conviction. Narrow bars indicate the ribbon is compressing — momentum is fading or transitioning. 2.5 Ribbon slope The slope line measures the rate of change of the fast group average over a configurable number of bars. A rising slope indicates momentum is accelerating into the trend. A falling slope indicates momentum is decelerating, a possible sign of exhaustion. A flat slope indicates consolidation or a transition that has not committed to a direction. 2.6 Divergence detection The indicator compares recent price pivots against fast group average pivots over a configurable lookback window. A bullish divergence fires when price makes a lower low but the fast group average holds higher — hidden strength beneath the surface. A bearish divergence fires when price makes a higher high but the fast group average rolls over — hidden weakness. Both conditions trigger a background flash on the pane. 3. Presets Three preset configurations are available. Selecting a preset overrides the core calculation parameters. -Default — swing trading on 4H and daily charts RSI base 10 | ZLEMA 5 | step 2 | twist threshold 1.5 Balanced ribbon for trend following and swing setups across most market conditions. -Fast — scalping on 1 minute to 15 minute charts RSI base 7 | ZLEMA 3 | step 2 | twist threshold 1.0 Shorter periods and a tighter twist threshold for early detection of momentum shifts and reversals before they appear in price. -Smooth — position trading on daily and weekly charts RSI base 14 | ZLEMA 8 | step 3 | twist threshold 2.5 Wider spread and longer periods. Only high-conviction momentum moves register. Filters out intraday noise. 4. Visual guide Ribbon fanning upward — bullish momentum expanding across multiple timescales. Ribbon fanning downward — bearish momentum expanding. Ribbon compressing toward center — Twist/Squeeze state, potential breakout building. Grey background shading — active Twist/Squeeze state. Green background flash — bullish breakout bar, ribbon exiting compression. Red background flash — bearish breakout bar. Warm/orange flash — bullish divergence detected. Red dim flash — bearish divergence detected. Green circle at oversold — bullish signal condition. Red circle at overbought — bearish signal condition. Histogram bars — momentum strength between fast and slow groups. Wide = strong trend. Narrow = compression. Slope line — acceleration or deceleration of fast group momentum. 5. Dashboard reference The dashboard provides live readings across all components. Momentum — current ribbon state: bullish, bearish, or twist. Fast avg — average of the five fastest strands. Slow avg — average of the five slowest strands. Spread — distance between fast and slow group averages. Twist — whether the ribbon is compressed below the twist threshold. Zone — whether the ribbon is extended, compressed, or neutral relative to overbought/oversold levels. Slope — momentum acceleration state: accel, decel, or flat. Divergence — active bullish divergence, bearish divergence, or none. Signal — last signal fired. 6. Alerts Six alert conditions are available: - Bullish: ribbon flips to bullish state. - Bearish: ribbon flips to bearish state. - Twist: ribbon enters Twist/Squeeze compression. - Bullish divergence: price makes a lower low while momentum holds higher. - Bearish divergence: price makes a higher high while momentum weakens. - Any change: fires on any of the above transitions. All alerts include exchange, ticker, and interval in the message. 7. Settings reference Calculation parameters - Source: price input for RSI calculations - Base length: lookback period for the fastest ribbon strand - Length step: increment between each subsequent strand - RSI length: base RSI period for all strand calculations - ZLEMA length: zero lag EMA smoothing period per strand - Twist threshold: minimum spread required to declare a trend; below this = Twist/Squeeze - Divergence lookback: window for comparing price and momentum pivots - Slope length: bars used to calculate ribbon acceleration - Preset: default, fast, or smooth Visualization settings - Color preset: classic (green/red) or custom - Bullish, bearish, and twist/squeeze colors - Min transparency: opacity of the fastest (leading) strand - Max transparency: opacity of the slowest (lagging) strand Level settings - Overbought level: reference line (does not affect trend logic) - Oversold level: reference line (does not affect trend logic) Dashboard settings - Show dashboard - Dashboard size: tiny, small, or normal 8. How to use 8.1 Lower timeframes (1 minute to 15 minutes) Use the fast preset. Monitor the ribbon for compression before expansion — Twist/Squeeze states often precede directional moves. A rising slope combined with bullish ribbon expansion confirms momentum is accelerating. A divergence forming while the ribbon is still in compression indicates a directional move is building before it appears in price. Only take bullish setups when the ribbon is bullish or just exiting a Twist state with a rising slope and no active bearish divergence. Only take bearish setups with the reverse conditions. 8.2 Higher timeframes (1H, 4H, daily) Use the default preset on 1H and 4H. Use the smooth preset on daily and weekly charts. A wide, sustained ribbon fan on higher timeframes confirms momentum has conviction. Ribbon compression while price action narrows indicates trend exhaustion — consider reducing exposure and waiting for re-expansion. Divergence on daily charts carries significant weight and should be treated as a major reversal warning. 8.3 Dashboard reading guide Slope accel + momentum bullish — trend strengthening, momentum building. Slope decel + momentum bullish — trend weakening, watch for reversal. Divergence bear + trend bullish — exit warning, confluence fading. Twist yes + spread narrowing — breakout setup forming, wait for direction. 8.4 Standalone use Momentum Pulse works as a standalone oscillator for any strategy or existing indicator setup. The ribbon provides directional momentum bias. The divergence detector flags hidden reversals before they appear in price. The slope line shows whether momentum is building or fading. The histogram confirms trend strength between fast and slow groups. No other indicator is required. 9. Disclaimer This indicator is provided for educational and informational purposes only. All outputs are based on historical price action calculations and do not guarantee future results. Trading financial instruments involves significant risk of loss. Past performance does not indicate future results. Use at your own discretion.
Pine Script®指标
由Anonycryptous提供
Goertzel Cycle Hunter [forexobroker]Goertzel Cycle Hunter scans seven Fibonacci-spaced cycle periods (5, 8, 13, 21, 34, 55, 89) using the Goertzel filter — a tuned single-frequency DFT that runs in O(N) per period. The dominant cycle's reconstructed cosine drives the trigger, gated by a power-ratio regime that confirms the cycle is real and not noise. 🔶 ALGORITHM 1. Detrend source = (high + low) / 2 minus its N-bar SMA, isolating the oscillatory component. 2. For each period N in , run the Goertzel recursion: s = x + 2 cos(2 pi / N) * s - s . 3. Power = s1^2 + s2^2 - 2 cos(omega) * s1 * s2; reconstructed cosine = s1 - s2 * cos(omega). 4. Dominant period = argmax(power); power ratio = max_power / sum_power. 5. Rhythm regime active when power ratio >= threshold AND ATR > k * 50-bar SMA. 🔶 SIGNAL LOGIC - Buy: rhythm active AND reconstructed cosine crosses zero up AND not already long AND cooldown elapsed AND barstate.isconfirmed. - Sell: mirror with crossunder. - Position-lock state machine. 🔶 INPUTS - Goertzel Window (default 120) - Min Power Ratio (default 0.20) - ATR Activity Floor (default 0.20) - Cooldown Bars (default 4) - Visual: dashboard, glow, trend mid line, buy / sell colors 🔶 ALERTS GCH Buy, GCH Sell, GCH Any Signal, GCH Rhythm Start, GCH Rhythm End, GCH Phase Up, GCH Phase Down, GCH Strong Cycle, GCH Webhook JSON. 🔶 LIMITATIONS - Cycle hunting is meaningful only when the market actually has a dominant rhythm; in trending or trapped regimes the power ratio stays low and signals mute correctly. - Computational cost = 7 Goertzel runs of N samples per bar. Defaults (N = 120) balance fidelity vs load. - The seven Fibonacci periods are a coarse grid; true dominant cycle may fall between (e.g., 16, 27 bars). User can re-tune the window length to bias toward shorter or longer cycles. - Detrend is SMA-based; structural breaks within the window can bias the cosine reconstruction for a few bars.
Pine Script®指标
由forexobroker提供
Fourier Phase Rotation [forexobroker]Fourier Phase Rotation reconstructs the fundamental phase of a 4-bar sliding window using sine and cosine projections. The phase angle phi rotates through the unit circle as the cycle progresses; a zero-cross of phi marks a cycle low (buy timing) or high (sell timing). Distinct from Hilbert: 4-point projection, no IIR filter ringing. 🔶 ALGORITHM 1. Detrended source = close - sma(close, N). 2. 4-point DFT bin 1 cosine: re = c0 - c2; sine: im = c1 - c3 where c_k = detrended source at lag k. 3. phase phi = atan(im / re), in . 4. Cycle-low complete = phi crosses zero up; cycle-high complete = phi crosses zero down. 5. Bias from close vs detrend SMA gates direction. 🔶 SIGNAL LOGIC - Buy: phase up-cross AND close > detrend SMA AND not already long AND cooldown elapsed AND barstate.isconfirmed. - Sell: phase down-cross AND close < detrend SMA. - Position-lock state machine. 🔶 INPUTS - Detrend SMA Length (default 20) - Pullback EMA Length (default 8) - Cooldown Bars (default 4) - Visual: dashboard, glow, SMA toggle, buy / sell colors 🔶 ALERTS FPR Buy, FPR Sell, FPR Any Signal, FPR Phase Up, FPR Phase Down, FPR Bias Up, FPR Bias Down, FPR Near Pi/2, FPR Webhook JSON. 🔶 LIMITATIONS - 4-point projection has a fixed period of 4 bars; assumes any cycle of interest is roughly that scale. Longer cycles fold into the bias trend. - atan (vs atan2) gives phase in ; sufficient for zero-cross detection but does not preserve quadrant disambiguation. - Detrend SMA length is the dominant smoothing knob; longer SMA = cleaner cycle, more lag. - Best on instruments with rhythmic intraday patterns; pure trends give muted phase oscillations.
Pine Script®指标
由forexobroker提供
Yogesh Raoot Swing Trading DashboardOverview This is a high-probability swing trading dashboard designed to identify stocks capable of achieving 5% to 7% gains within a 7–10 day window. The indicator utilizes a multi-factor "AI-style" scoring system based on trend, momentum, and volatility. Key Features: Weighted Scoring: Evaluates EMA Trend, RSI, MACD, Supertrend, and Momentum to provide a total score out of 100. Probability Matrix: Classifies setups into HIGH, MEDIUM, or LOW probability. Visual Verdict: Provides a clear "Strong Buy" or "Neutral" signal based on technical confluence. Expected Move: Estimates the potential percentage gain over the next week. How to Use: Best used on Daily (1D) or 4-Hour (4H) timeframes. Look for a Total Score > 75 for the highest probability of a 5%+ move. Use the plotted EMA 20 (Blue) and EMA 50 (Orange) for dynamic support and resistance. Disclaimer: Trading involves risk. This dashboard is a decision-support tool and should be used in conjunction with your own risk management.
Pine Script®指标
由yogsraoot提供
2
Cumulative Delta Divergence [forexobroker]Cumulative Delta Divergence detects exhaustion patterns where price extends but cumulative tick-rule signed volume does not follow. The z-scores of cumulative delta and price over the same window are differenced; sustained gaps mark institutional positioning against the current move. Signals fire on EMA cross in the resolution direction. 🔶 ALGORITHM 1. signed_vol = volume * sign(close - close ). 2. cum_delta = sum(signed_vol, N). 3. delta_z = cum_delta / (stdev(signed_vol, N) * sqrt(N)). 4. price_z = (close - sma(close, N)) / stdev(close, N). 5. divergence = price_z - delta_z. Bear divergence when divergence >= threshold; bull when <= -threshold. 🔶 SIGNAL LOGIC - Buy: bull divergence AND close crosses EMA up AND not already long AND cooldown elapsed AND barstate.isconfirmed. - Sell: bear divergence AND close crosses EMA down. - Position-lock state machine. 🔶 INPUTS - Cumulative Window (default 40) - Pullback EMA Length (default 8) - Min Divergence Z (default 0.30) - Cooldown Bars (default 4) - Visual: dashboard, glow, EMA toggle, buy / sell colors 🔶 ALERTS CDD Buy, CDD Sell, CDD Any Signal, CDD Bull Div On, CDD Bear Div On, CDD Strong Bear, CDD Strong Bull, CDD EMA Up, CDD Webhook JSON. 🔶 LIMITATIONS - Tick-rule signed volume (sign of close - close ) is a proxy; true bid / ask delta requires order-book data not available in Pine. - Forex broker volumes vary; instruments with consistent volume reporting produce cleaner divergences. - Window N = 40 is the practical balance; shorter windows fire more but flag false divergences. - Divergence resolution timing varies; some divergences last many bars before resolving.
Pine Script®指标
由forexobroker提供
Bayesian Trend Posterior [forexobroker]Bayesian Trend Posterior treats each bar as a Bernoulli observation (up vs not-up) and runs a Beta-Bernoulli sequential update over a sliding window. The posterior probability P(next bar up) = (alpha + u) / (alpha + beta + N), where u is the count of up-bars in the window. Schmitt hysteresis on the posterior locks bull or bear regimes, preventing chatter near 0.5. 🔶 ALGORITHM 1. Count up-bars u in the last N closes (close > close ). 2. Posterior mean = (alpha + u) / (alpha + beta + N) using Beta(alpha, beta) prior. 3. Hysteresis: regime locks to +1 when posterior >= upper threshold, locks to -1 when posterior <= lower threshold, holds otherwise. 4. Within a locked regime, an EMA cross provides the entry trigger so the indicator can fire multiple times during sustained trends. 🔶 SIGNAL LOGIC - Buy: bull regime locked AND close crosses pullback EMA up AND not already long AND cooldown elapsed AND barstate.isconfirmed. - Sell: bear regime locked AND close crosses pullback EMA down. - Position-lock state machine. 🔶 INPUTS - Posterior Window N (default 30) - Prior alpha (default 2.0) - Prior beta (default 2.0) - Upper Hysteresis (default 0.55) - Lower Hysteresis (default 0.45) - Pullback EMA Length (default 8) - Cooldown Bars (default 4) - Visual: dashboard, glow, EMA toggle, buy / sell colors 🔶 ALERTS BTP Buy, BTP Sell, BTP Any Signal, BTP Bull Lock, BTP Bear Lock, BTP High Posterior, BTP Low Posterior, BTP Cross 0.5, BTP Webhook JSON. 🔶 LIMITATIONS - Bernoulli simplification ignores bar size; a tiny up-bar contributes the same as a strong one. Pair with an ATR-aware filter for size-weighted posteriors. - Window N is the dominant tuning knob: smaller N reacts faster but flips more; larger N is steadier. - Prior alpha = beta = 2 is uninformative; users with strong directional bias can adjust. - Hysteresis prevents chatter but slightly delays regime detection vs threshold-only logic.
Pine Script®指标
由forexobroker提供
2
Multi-System (RSI2 + Squeeze + MACD/ADX)Confluence Multi-System combines three independent, well-documented signal frameworks into a single overlay and only fires alerts when two or more agree on direction. The goal is to filter noise: each system has its own logic and failure mode, so coincidence between them is statistically rarer and historically higher quality than any individual signal. THE THREE SYSTEMS System 1 — Mean Reversion (RSI-2 + Williams %R + 200 SMA) Larry Connors-style countertrend setup. Trades only in the direction of the 200 SMA trend filter, requires RSI(2) at an extreme (<5 long, >95 short) and Williams %R(10) confirming (<-90 long, >-10 short). Designed for pullbacks within a trend, not reversals against it. System 2 — TTM Squeeze Classic John Carter volatility compression setup. Detects when Bollinger Bands(20, 2.0) contract inside Keltner Channels(20, 1.5) — a "squeeze" — then signals on the release in the direction of a linear-regression momentum oscillator. Catches breakouts after consolidation. System 3 — Triple Confirmation (MACD + RSI + ADX) Trend-following filter stack. Long requires MACD(12,26,9) bullish cross + RSI(14) > 50 + ADX(14) > 25. Short is the mirror. ADX gates out chop; RSI confirms the cross is in the dominant momentum side. CONFLUENCE LOGIC The indicator counts how many systems are signaling in the same direction on the same bar: • 3/3 → STRONG signal (background tinted, label printed, dedicated alert) • 2/3 → MEDIUM signal (lighter tint, dedicated alert) • <2 → no signal, no alert The minimum number of systems required can be configured (default 2). You can also disable any system individually if you want to test 2-of-2 confluence on specific pairs. WHAT YOU SEE ON THE CHART • Background tint on confluence bars (green/red strong, lime/fuchsia medium) • Labels marking the bar where confluence first appears • 200 SMA plotted as visual reference for the System 1 trend filter • A status table (top-right) showing for each system: long/short state, key indicator values (RSI, Williams %R, ADX, squeeze state, momentum), plus a summary row with the current confluence level ALERTS Six alertconditions are exposed: • STRONG LONG (3/3) / STRONG SHORT (3/3) • MEDIUM LONG (2/3) / MEDIUM SHORT (2/3) • ANY CONFLUENCE LONG / ANY CONFLUENCE SHORT (respect the configured minimum) Alerts include ticker, interval, and close price via standard TradingView placeholders. INPUTS All three systems are fully parametrized: SMA length, RSI/Williams %R lengths and thresholds, Bollinger and Keltner lengths and multipliers, MACD periods, ADX length and minimum strength. Defaults match the original published values for each framework. USE CASES • Day trading on lower timeframes — wait for 2/3 or 3/3 to enter, exit on opposite confluence or your own stop • Swing trading on 1H/4H/Daily — confluence becomes rare but high quality • As a confirmation layer over your own strategy — read the table to see which systems agree before pulling the trigger NOTES AND DISCLAIMERS This is an indicator, not a strategy — it does not place orders, manage stops, or compute P&L. Win-rate ranges referenced for each underlying system come from the original literature (Connors, Carter, Wilder/Appel) and are heavily dependent on instrument, timeframe, and exit logic. Past performance does not guarantee future results. Always backtest with your own exit rules before trading live. Open source — fork it, adapt the thresholds, plug in your own systems.
Pine Script®指标
由albilsky提供
Mansfield RS+ - Relative Strength with Price ConfirmationCombines the Mansfield Relative Strength calculation (credit: stageanalysis) with a price action confirmation overlay (credit: bharatTrader) into a single indicator. Calculation The RS line measures daily stock price divided by weekly SPX close, normalized against a 52-week SMA of that ratio. Values above zero indicate outperformance vs. the S&P 500. Values below zero indicate underperformance. Inputs Symbol: benchmark index (default SP:SPX) MA Length: lookback period for the zero line SMA (default 52) Price Confirmation Period: SMA length for bubble logic (default 50) RS Trend Range: lookback for zero line momentum color (default 5) Show Bubbles: toggle price confirmation overlay Show Background Colors: toggle Mansfield-style background Reading the indicator The zero line changes color based on RS momentum direction — green when RS is accelerating, red when decelerating. Bubbles appear when price and its 50 SMA agree on direction. Green bubbles indicate price above a rising SMA. Red bubbles indicate price below a falling SMA. RS above zero with green bubbles: RS and price both confirm, strongest long signal. RS above zero with red bubbles: RS positive but price weakening, use as a caution signal. RS below zero with green bubbles: price leading RS, early watch but not yet actionable. RS below zero with red bubbles: both confirm weakness, avoid. Alerts included RS crossed above/below zero RS trend turned bullish/bearish Credits: Mansfield RS formula: Price confirmation bubble logic: bharatTrader
Pine Script®指标
由vinthomas提供
1
Detrended Price Oscillator - Valuation and Trend | Astral VisionDetrended Price Oscillator - Valuation and Trend | Astral Vision 🌠💠 The Detrended Price Oscillator removes the dominant trend from price by subtracting a lagged moving average, isolating the cyclical component that trends obscure. The result is an oscillator centered around zero that reflects how far price has deviated from its medium-term mean, independent of whether the broader trend is up or down. This indicator extends the standard DPO with two structural additions. First, dynamic overbought and oversold bands are derived from the rolling standard deviation of the DPO itself, making the extremes statistically adaptive rather than fixed. Second, an optional moving average smoothing layer can be applied to the DPO before all calculations, reducing noise on lower timeframes. Two modes cover different use cases: "Extremes" identifies statistically significant deviations from the mean with explicit entry/exit signals, while "Trend" tracks whether the smoothed DPO is above or below its rolling mean as a directional read. Calculation ⚙️ `DPO = close − SMA(close, length) ` The lookback shift centers the moving average on the period being measured, removing the trend component while preserving cyclical deviations. An optional EMA or SMA of configurable length can then be applied to the raw DPO. `Overbought = SMA(DPO, stdLookback) + ob_multiplier × StdDev(DPO, stdLookback)` `Oversold = SMA(DPO, stdLookback) − os_multiplier × StdDev(DPO, stdLookback)` Both bands float dynamically with the evolving distribution of DPO values, tightening during low-volatility periods and expanding during high-volatility ones. Plots 📊 DPO line with 6-layer glow (linewidths 12/8/5/3/2/1, transparencies 88/78/65/50/30/0), colored by active regime Dynamic overbought and oversold band lines Rolling mean line Zero baseline (dashed) Triangle signals in the panel and on the price chart when DPO crosses back inside a band from an extreme (Extremes mode, signals enabled) Candle coloring on the price chart by active regime Background highlight on the price chart when either band is breached (Extremes mode) Inputs 🎛️ `Mode`: Extremes (band-crossing signals) or Trend (mean-relative direction) `DPO Length`: period of the internal SMA used to detrend price (default 21) `StDev Lookback`: rolling window for mean and standard deviation of the DPO (default 250) `Oversold StDev Multiplier`: band distance below the mean (default 1.8) `Overbought StDev Multiplier`: band distance above the mean (default 2.0) `Show Signals`: toggles triangle markers for band re-entry crossings `Use Moving Average` applies a smoothing MA to the DPO before all calculations `Moving Average Length` : period of the smoothing MA (default 10) `Moving Average Type`: EMA or SMA Colors 🎨 5 Astral Vision presets + custom override. Default: Hermes. Positive color activates at oversold extremes and above-mean trend; negative color activates at overbought extremes and below-mean trend; neutral applies to the mean line. Purpose 🎯 Standard DPO implementations plot a raw oscillator with no threshold logic and no statistical context, leaving the trader to visually judge whether a given deviation is significant or routine. Fixed overbought/oversold levels carry no meaning as market volatility changes over time. This indicator makes the extremes statistically rigorous: the bands adapt to the actual distribution of DPO values over the chosen lookback, so a breach always represents a genuinely unusual deviation regardless of the prevailing volatility regime. The signal markers fire specifically on band re-entries, not on the initial breach, identifying the moment mean reversion has begun rather than flagging the extreme itself. The six-layer glow rendering makes the oscillator's position relative to its bands immediately readable at a glance without requiring precise level inspection. Disclaimer ⭕️ It is not financial advice, not an investment recommendation, and not affiliated with any financial institution, research firm, or organization of any kind. All content is provided for educational and informational purposes only. Always conduct your own research before making any financial decision.
Pine Script®指标
由AstralVision提供