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ADX

AG Pro Market Regime MeterOverview / What it does The AG Pro Market Regime Meter is a chart-first context and diagnostics tool designed to classify the current market environment. It evaluates price action across three separate dimensions: Trend Strength, Chop Risk, and Volatility. By providing an on-chart HUD (Heads-Up Display) and optional regime shift markers, it helps traders visualize whether the market is in a directional trend, a choppy range, or undergoing volatility expansion/contraction. Unique Edge Unlike traditional indicators that compress market context into a single oscillator line, this script isolates the three core pillars of market structure. It does not generate buy or sell signals. Instead, its unique edge lies in combining efficiency ratios, directional movement, and true range measurements to output a multi-axis regime classification. This prevents the blending of distinct market behaviors, allowing for clearer regime-based playbook selection. Methodology (Conceptual) The script processes market context through three distinct calculation engines: 1. Trend Strength: Blends a persistence measure (Efficiency Ratio calculating net movement vs. total movement) with normalized directional movement (ADX derived from DMI) to score directional structure. 2. Chop / Whipsaw Risk: Uses a Choppiness-style logic comparing the sum of True Range against the absolute High-Low range, inversely weighted with trend strength to assess fakeout probability. 3. Volatility Regime: Normalizes the current ATR percentage (ATR relative to close price) against a historical lookback window (default 100 periods) to classify structural expansion or contraction. The engine then outputs rule-based LOW/MID/HIGH threshold bands for each axis and generates a final heuristic Regime Summary. Signals and Alerts This script is a context tool and does not produce predictive trading signals or alerts. - Regime Shift Markers: The script plots optional visual markers on the chart when the heuristic Regime Summary changes (e.g., TREND to RANGE). - Confirmation: To prevent intrabar flickering, shift markers are evaluated and locked in strictly on confirmed bar closes. Anti-clutter algorithms (minimum bars apart, ATR-based offsets) are applied to keep the chart clean. How to Use Apply the indicator to evaluate if your intended trade setup matches the current market environment: 1. Trend HIGH + Chop LOW: Indicates structural direction. Favorable for trend-following logic and pullback entries. 2. Chop HIGH: Indicates elevated whipsaw probability. Warrants caution, size reduction, or mean-reversion tactics. 3. Volatility Check: High volatility suggests wider swings (requiring wider stops), while low volatility suggests contraction and potentially slower breakouts. 4. Use the HTF Peek row in the HUD to ensure the current timeframe regime aligns with the higher timeframe structure. Limitations and Transparency - This is strictly a contextual layer, not a standalone trading system. It does not provide entries or exits. - The LOW/MID/HIGH classifications are heuristic baseline measurements. They may require parameter tuning depending on the specific asset class, timeframe, and baseline volatility profile. - The HTF Peek row uses the request.security function. Depending on the current bar state, higher timeframe context data may fluctuate until the actual higher timeframe bar closes. Risk Disclosure Trading involves significant risk of capital loss. This script is provided strictly for educational and informational purposes and does not constitute financial or investment advice. Always evaluate liquidity, slippage, and your own account constraints, and employ strict risk management.
Pine Script® インジケーター
AGProLabsの投稿
ADX Dynamic Zone Inside the SuperTrend with Support / ResistantI like Simple Strategy and just code one using super trend and ADX But like All super trend strategy buy and sell signal most of the time are to late So I am using the super trend like indicator for trend direction and ADX Dynamic buy or sell zone for pull back and if direction is ok we get in trade but only when we have support for long or resistant for short Take profit is fix % and stop is Trailing stop There is A choice if you want to use fixed sum for the trades or increase the size of the trade after # of losing trades The increase of the size is working like D'Alembert System Thanks to Trading view and pinecoders.com for the build in indicators and code If any Questions Let Me Know Happy Trading
Pine Script® ストラテジー
fullmaxの投稿
3
Squeeze Breakout Pro [WillyAlgoTrader]Squeeze Breakout Pro (SBP) is an overlay indicator that detects volatility compression zones where Bollinger Bands contract inside a Keltner Channel, waits for a confirmed directional breakout with volume and momentum validation, and then maps a complete trade framework: structural stop loss at the opposite side of the range, and three take-profit targets calculated as R-multiples of the range width using Fibonacci-based extensions. A built-in dashboard tracks TP hit rates across the chart's history so you can evaluate the setup's statistical behavior on any instrument and timeframe. The concept of a "squeeze" — Bollinger Bands narrowing inside Keltner Channels — has been around for decades. What SBP adds is a structured decision pipeline: it doesn't just flag the squeeze, it qualifies it with ADX to confirm a genuine range-bound condition, requires volume confirmation on the breakout bar, defines exact entry/SL/TP levels, and tracks how often each target is reached — turning a raw volatility observation into a repeatable trade setup with measurable outcomes. 🔍 WHAT MAKES IT ORIGINAL 1. Squeeze qualification via ADX filter. A standard BB-inside-KC squeeze fires frequently and includes many false compressions during trending pullbacks. SBP adds an ADX filter that requires the Average Directional Index to be below a user-defined threshold (default 21) during the squeeze phase. This ensures the consolidation is a genuine range-bound condition — not a brief pause in a strong trend that would produce a low-quality breakout. The combination of BB/KC compression + low ADX produces significantly fewer but higher-quality squeeze zones. 2. Minimum squeeze duration requirement. Not every momentary BB/KC overlap deserves attention. SBP requires a configurable minimum number of consecutive squeeze bars (default 5) before the range is considered valid. Short, fleeting compressions are ignored. This filters out the noise that plagues most squeeze indicators on lower timeframes. 3. Structural stop loss with ATR padding. Instead of a fixed-pip or fixed-percentage stop, SBP places the stop loss at the opposite boundary of the detected consolidation range — the natural structural level — plus a configurable ATR-based padding (default 20% of ATR). For a bullish breakout, SL sits below the range low; for bearish, above the range high. This gives the stop a structural reason to exist, tied to the actual price action that formed the squeeze. 4. R-multiple targets using Fibonacci extensions. Take-profit levels are calculated as multiples of the range width projected from the entry price: — TP1 at 0.618× range width (conservative, first scale-out) — TP2 at 1.0× range width (full range projection) — TP3 at 1.618× range width (golden ratio extension) All three multipliers are fully configurable. The range width serves as the natural "R" unit because it represents the energy stored during compression — wider ranges store more energy and project further. 5. Built-in TP/SL hit-rate tracking. The dashboard counts every breakout signal on the visible chart and tracks how many times each TP level was reached versus how many times the SL was hit. This gives you an instant statistical profile of the setup's behavior on the current instrument and timeframe — no external backtesting tool required. The hit rates update in real time as new signals form. 6. Overlap prevention. An optional toggle (on by default) prevents a new squeeze zone from forming if it would overlap with the previous one, avoiding redundant signals in choppy markets where squeezes cluster. ⚙️ HOW IT WORKS Step 1 — Squeeze detection: On each bar, the script calculates Bollinger Bands (SMA ± StdDev × multiplier) and a Keltner Channel (SMA ± ATR × multiplier) using the same base length. When both BB boundaries sit inside both KC boundaries (upper BB < upper KC AND lower BB > lower KC), the market is in a squeeze. If the ADX filter is enabled, the squeeze is only valid when ADX is also below the threshold — confirming low directional momentum. Step 2 — Range construction: While the squeeze is active, the script tracks the highest high and lowest low across all squeeze bars, building a dynamic range box. When the squeeze condition ends (BB expands beyond KC or ADX rises), the range is locked — but only if the squeeze lasted at least the minimum required bars. The locked range defines the consolidation zone for breakout detection. Step 3 — Breakout confirmation: After the range is locked, the script watches for a confirmed bar close above the range high (bullish breakout) or below the range low (bearish breakout). If volume confirmation is enabled, the breakout bar must also have volume exceeding the SMA(volume) × the configured multiplier. All breakout signals require barstate.isconfirmed — they trigger only on bar close and do not repaint. Step 4 — Trade framework: On breakout, the script calculates and plots: — Entry: the breakout bar's close price — SL: opposite range boundary ± ATR padding — TP1 / TP2 / TP3: entry ± (range width × configured multipliers) These levels extend forward as horizontal lines with a risk/reward fill zone until a target or stop is hit. When TP3 or SL is reached (bar close), the trade is closed and levels stop extending. Step 5 — Hit tracking: Each TP level and the SL are monitored on every confirmed bar after entry. When price touches (via high/low) a TP level, it is marked as hit. If SL is hit before TP3, the trade closes at a loss. The dashboard aggregates these outcomes across all signals on the chart. Volume on forex: On instruments without volume data (common on forex), the volume filter is automatically bypassed — so the indicator works seamlessly across asset classes without manual adjustment. 📖 HOW TO USE Reading the chart: — Yellow-tinted boxes = detected squeeze zones (consolidation ranges) — "Long" label below bar = confirmed bullish breakout — "Short" label above bar = confirmed bearish breakout — Green line = entry level — Red dashed line = stop loss — Dotted/solid green lines = TP1 / TP2 / TP3 — Green-tinted fill between entry and TP3 = reward zone — Red-tinted fill between entry and SL = risk zone Suggested workflow: — Wait for a squeeze zone to form and lock (box appears, disappears when squeeze ends) — Dashboard shows "Pending" when a valid range is ready for breakout — On breakout, evaluate the signal: check TP/SL levels, assess the range width, and decide position size based on the distance to SL — Use TP1 for conservative partial exit, TP2 for second scale-out, TP3 for runner — Review the TP1/TP3 hit rates in the dashboard to calibrate your expectations for the current instrument Timeframe guidance: — Scalping (1–5min): Squeeze Length 10–15, Min Squeeze Bars 3–5, ADX threshold 25 — Intraday (15min–1H): Squeeze Length 15–20, Min Squeeze Bars 5–8, default settings — Swing (4H–Daily): Squeeze Length 20–30, Min Squeeze Bars 8–15, ADX threshold 18–20 — The longer the squeeze and higher the timeframe, the more energy stored → larger projected targets ⚙️ KEY SETTINGS REFERENCE — Squeeze Length (default 13): shared period for BB and KC — higher = detects longer consolidations — BB Multiplier (default 2.0): Bollinger Bands standard deviation multiplier — KC Multiplier (default 1.2): Keltner Channel ATR multiplier — the gap between BB and KC multipliers controls how easily a squeeze triggers — ADX Filter (default On): require low directional movement during squeeze — ADX Threshold (default 21): maximum ADX value for valid squeeze — lower = stricter — Volume Confirmation (default On): require volume spike on breakout bar (auto-disabled on forex) — Volume Spike Mult (default 1.3): breakout volume must exceed SMA × this multiplier — Min Squeeze Bars (default 5): minimum consecutive squeeze bars for valid range — Prevent Overlap (default On): no new squeeze zone if it overlaps the previous one — TP1 / TP2 / TP3 (default 0.618 / 1.0 / 1.618): take-profit as R-multiples of range width — SL Padding (default 0.2): extra padding beyond range boundary, as fraction of ATR 📊 Dashboard The info panel (adjustable to any chart corner) displays: — Current squeeze status (Active with bar count, or None) — Trade direction (Long / Short / —) — Signal state (Active / Pending / Wait) — ADX value with color coding (green if below threshold, red if above) — Total breakout count (Long / Short split) — TP1 and TP3 hit rates as percentages across all signals on chart — Current timeframe and indicator version ⚠️ IMPORTANT NOTES — This indicator does not repaint. All breakout signals require bar-close confirmation (barstate.isconfirmed). — The TP hit rates shown in the dashboard are historical statistics on the current chart , not predictions. They depend entirely on the instrument, timeframe, and date range visible. A 70% TP1 hit rate on past data does not guarantee 70% going forward. — SBP provides a structured trade framework (entry/SL/TP), but it is not a complete trading system . Position sizing, risk management, and trade selection remain the trader's responsibility. — Not every squeeze produces a clean breakout. Some ranges resolve with choppy, directionless price action. The ADX filter and volume confirmation reduce this, but cannot eliminate it entirely. — The indicator works across all asset classes — stocks, crypto, forex, futures, commodities. Volume features auto-adapt to instruments without volume data.
Pine Script® インジケーター
WillyAlgoTraderの投稿
4
Adaptive Volatility Trend [WillyAlgoTrader]Adaptive Volatility Trend (AVT) is a trend-following overlay indicator that dynamically adjusts its sensitivity to market conditions using the Kaufman Efficiency Ratio and ATR-based volatility bands. Unlike static moving averages or fixed-width channels, AVT continuously adapts: it accelerates in strong directional moves and slows down during choppy, range-bound price action — reducing whipsaws where most trend indicators fail. 🔍 WHAT MAKES IT ORIGINAL The core innovation is a self-tuning mechanism built on three adaptive layers: 1. Kaufman Efficiency Ratio (ER) as an adaptive engine. The ER measures how "efficient" price movement is — the ratio of net directional change to total path traveled over N bars. An ER near 1.0 means price moved in a clean straight line (strong trend); near 0.0 means it went sideways with lots of noise. AVT uses the smoothed ER to dynamically blend between a fast constant (2-period EMA speed) and a slow constant (30-period EMA speed), producing an Adaptive Moving Average that responds quickly in trends and becomes sluggish in chop. 2. ER-scaled ATR bands. The volatility channel doesn't just use raw ATR × multiplier. It incorporates the Efficiency Ratio to narrow the bands during trending conditions (where ER is high) and widen them during ranging markets (where ER is low). This means the channel contracts when the trend is clean — keeping signals tight — and expands when price is noisy — filtering out false breakouts. 3. Composite Signal Scoring System (0–100). Every signal receives a quality score based on three weighted components: — Trend strength (0–40 pts): derived from the Efficiency Ratio magnitude — Momentum (0–30 pts): RSI distance from the neutral 50-level in the signal direction — Volume confirmation (0–30 pts): current volume relative to its 20-period average Only signals exceeding the user-defined minimum score threshold are displayed — letting you filter out low-conviction setups. ⚙️ HOW IT WORKS Trend detection: The indicator calculates an Adaptive Moving Average using the Kaufman method. The slope of this line determines trend direction: if the line rises by more than 5% of current ATR, the trend is classified as bullish; if it falls by the same threshold, bearish. A small dead zone (ATR × 0.05) prevents noise from flipping the trend. Signal generation: A BUY signal fires when: — Trend flips from bearish/neutral to bullish (slope turns positive) — Price is above the adaptive line — RSI is not in overbought territory (if RSI filter is enabled) — Volume exceeds its moving average × threshold (if volume filter is enabled; auto-disabled on forex) — Composite score meets the minimum threshold — Bar is confirmed (close-based, no repainting) SELL signals use the mirror logic. Anti-repaint compliance: All signals require barstate.isconfirmed — they only trigger on the close of the bar and never change on historical data. A warmup period (minimum 50 bars or 2× Trend Length) prevents unreliable early signals. Volume filter on forex: The indicator automatically detects instruments with no volume data (common on forex pairs) and bypasses the volume filter for those symbols, so it works seamlessly across asset classes. 📖 HOW TO USE Reading the chart: — Green trend line + upward slope = bullish regime — Red trend line + downward slope = bearish regime — Yellow trend line = neutral / transitioning — ▲ labels below bars = confirmed BUY signal — ▼ labels above bars = confirmed SELL signal — The shaded channel around the trend line shows volatility-adjusted support/resistance zones Quick-start presets: — Conservative (Length 30 / ATR 20 / Mult 2.5): fewer signals, higher reliability — suited for swing trading on 4H–Daily — Default (Length 20 / ATR 14 / Mult 2.0): balanced for most timeframes — Aggressive (Length 12 / ATR 10 / Mult 1.5): more signals — suited for 15min–1H — Scalping (Length 8 / ATR 7 / Mult 1.2): fast response — optimized for 1–5min charts Signal quality: Use the Score value in the dashboard to gauge conviction: — 70–100: strong trend + momentum + volume alignment — 40–69: moderate setup, consider additional confluence — Below threshold: signal filtered out (not shown) Dashboard panel: Displays current trend direction, last signal with its score, Efficiency Ratio %, RSI value, timeframe, and indicator version. Position is adjustable to any corner of the chart. Alerts & automation: Supports both standard TradingView alert messages and JSON webhook format for integration with 3Commas, Alertatron, or custom bots. Alert messages include ticker, price, timeframe, and signal score. ⚙️ KEY SETTINGS REFERENCE — Trend Length (default 21): lookback for adaptive MA — higher = smoother, lower = faster — ATR Length (default 14): period for volatility bands — higher = wider bands — Band Multiplier (default 2.0): ATR multiplier for channel width — higher = fewer false signals — RSI Filter (on by default): blocks buy signals when RSI > 70, sell signals when RSI < 30 — Volume Filter (on by default): requires volume > SMA(20) × 1.2 — auto-disabled on forex — Min Signal Score (default 40): minimum composite score for signal display — Efficiency Smoothing (default 5): EMA smoothing of the Kaufman ER ⚠️ IMPORTANT NOTES — This indicator does not use future data. No lookahead, no repainting. — Past performance shown on any chart does not guarantee future results. — AVT is a tool for identifying trend direction and generating signal candidates — it is not a complete trading system. Always use proper risk management and consider additional confluence before entering trades. — The indicator works best in trending markets. In prolonged sideways conditions, even filtered signals may produce whipsaws — the Efficiency Ratio in the dashboard helps you assess whether the current market is trending enough for signal reliability.
Pine Script® インジケーター
WillyAlgoTraderの投稿
2
Adaptive Trend RegimeAdaptive Trend Regime Adaptive Trend Regime is a market regime detection indicator designed to identify whether the market is trending bullish, trending bearish, or moving sideways. The indicator combines EMA alignment, ADX trend strength, and EMA slope momentum to filter market noise and highlight only meaningful directional movement. Instead of reacting to every price fluctuation, this tool focuses on detecting sustained market conditions. ━━━━━━━━━━━━━━━━━━ How It Works Fast and Slow EMAs determine market direction. ADX measures trend strength and filters ranging markets. EMA slope confirms momentum and removes weak trends. Volatility-adjusted zones adapt dynamically using ATR. The background zone changes color depending on market regime: 🟢 Bullish Trend — Strong upward momentum 🔴 Bearish Trend — Strong downward momentum 🟡 Range — Low momentum or consolidation ━━━━━━━━━━━━━━━━━━ Parameters Fast EMA Length Controls short-term market direction sensitivity. Slow EMA Length Defines the broader trend structure. ADX Threshold Minimum trend strength required to classify the market as trending. Higher values produce more conservative signals. Slope Dead Zone (%) Filters small EMA movements considered market noise. Increasing this value reduces false trend detection. Slope Lookback Number of bars used to calculate EMA slope momentum. ATR Multiplier Controls the size of the displayed trend zone relative to market volatility. ━━━━━━━━━━━━━━━━━━ Best Usage • Trend-following strategies • Market regime filtering • Trade confirmation • Avoiding low-momentum environments Works across all markets and timeframes. ━━━━━━━━━━━━━━━━━━ Notes This indicator does not provide buy or sell signals. It is intended to help traders understand market conditions and trade in alignment with prevailing momentum.
Pine Script® インジケーター
ferCVの投稿
Directional Logistic Oscillator | GainzAlgoOverview The Directional Logistic Oscillator (DLO) is a momentum-based indicator designed to measure directional market strength and identify potential trend reversals or mean-reversion opportunities. It builds on the classic Directional Movement Index (DMI) by transforming its components (+DI, -DI, and ADX) into probabilistic signals using logistic functions, then combining them into a bounded oscillator that oscillates between approximately -1 and +1. Unlike traditional oscillators like RSI or MACD, DLO emphasizes directional probability by estimating the likelihood of bullish or bearish dominance while factoring in overall trend strength (via ADX). This makes it particularly useful for: Spotting overbought/oversold conditions in ranging markets. Confirming trend shifts in trending markets. Generating reversal signals based on oscillator cycles. The oscillator is plotted as histogram bars (columns) for visual clarity, with color-coding to highlight strength and direction. Positive values indicate bullish momentum, negative values bearish, and crossings of key levels can signal trading opportunities. How It Works At its core, DLO processes DMI data through a logistic transformation to create "probabilities" of directional movement: 1. DMI Calculation : Uses the standard DMI with a user-defined length (default 14) to compute +DI (upward movement), -DI (downward movement), and ADX (trend strength). 2. Logistic Probability : Each DMI component is normalized against its long-term mean and passed through a logistic (sigmoid) function. This creates smooth probabilities between 0 and 1. The logistic function is defined as: logistic_prob(series, mean_lb, slope, smooth_len) => mean = ta.sma(series, mean_lb) z = (series - mean) * slope prob_raw = 1.0 / (1.0 + math.exp(-z)) ta.ema(prob_raw, smooth_len) This step makes the indicator adaptive to market conditions, with the "slope" controlling how sharply it reacts to deviations from the mean. 3. Net Directional Strength : Bullish minus bearish probability, scaled by ADX probability and a user-defined multiplier, then bounded using a hyperbolic tangent (tanh) function to keep values between -1 and +1. net_dir = prob_plus - prob_minus strength_raw = net_dir * prob_adx * osc_scale strength_bound = tanh(strength_raw) Tanh ensures smooth, bounded output without clipping extremes unnaturally. 4. Smoothing and Signals: The raw strength is smoothed with EMA, then further processed into SMA and EMA lines for signal generation. Percentile-based thresholds (adaptive over a lookback period) detect extreme zones for mean-reversion signals. The result is a visually intuitive oscillator: Green bars for bullish, red for bearish, with varying intensity based on momentum. Inputs DLO offers customizable settings grouped for ease of use. Defaults are tuned for balanced performance on daily charts. DMI Settings DI Length (default: 14): Controls DMI sensitivity. Shorter lengths react faster to price changes but add noise; longer lengths smooth signals for trends. Mean Lookback (default: 360): The period for calculating the long-term average of DMI components. Higher values provide a more stable baseline, reducing false signals from short-term volatility. Lower values make the indicator more responsive but noisier Difference between high and low mean lookback period, lower length can pick up on new trends faster but at the cost of increased noise. Logistic Probability Settings LR Slope (higher = steeper) (default: 0.18): Adjusts the steepness of the logistic curve. Lower values create gradual transitions (smoother oscillator); higher values make sharp shifts, emphasizing extremes. Probability Smoothing (EMA) (default: 3): Short EMA to reduce noise in probabilities. Keep low (1-5) for responsiveness; higher for smoothness. Oscillator Settings Oscillator Scale (pre-tanh) (default: 2.5): Multiplies net strength before bounding. Higher values increase sensitivity and amplitude (larger swings); lower values compress the range for subtler signals. Comparison of 4 different settings for Oscillator scale, showing that as the scale parameter increases, the oscillator output becomes more pronounced, exhibiting higher amplitude compression toward the bounds and spending more time saturated near the extreme values of +1 and −1. Oscillator Smoothing Length (default: 7): Period for SMA/EMA smoothing of the final oscillator. Longer = smoother, fewer signals; shorter = more reactive. Color & Display Settings Buy Color / Sell Color: Customize colors for bullish/bearish visuals. Plot Reversion Signals (default: true): Shows arrows for cycle reversals (local highs/lows). Plot Mean-Reversion Signals (default: true): Arrows for crossings from extreme percentile zones. Plot Oscillator MA (default: false): Overlays an SMA on the oscillator for additional confirmation. Allow Intrabar Updating (default: true): Enables real-time updates within incomplete bars (may cause minor repainting). Visuals Oscillator Histogram: Columns colored green (bullish) or red (bearish), with lighter shades for weaker momentum. Crosses above/below zero signal momentum shifts. Horizontal Lines: Zero (neutral), +0.5 (strong bullish), -0.5 (strong bearish). Background Highlights: Subtle green/red shading when in strong zones. Bar Colors: Mirrors oscillator direction on the price chart. Color-coded trend regimes: green/teal highlight strong and weak uptrends, red/purple mark strong and weak downtrends, while the oscillator histogram confirms direction and strength through its polarity and amplitude. Signals Mean-Reversion (MR) Signals : Triangles (▲/▼) when the smoothed oscillator crosses up from low percentiles (oversold) or down from high percentiles (overbought). These are adaptive, using historical data for dynamic extremes. Buy: Oscillator crosses above lower threshold (e.g., 10th/5th percentile). Sell: Crosses below upper threshold (e.g., 90th/95th percentile). Reversion Signals : Arrows (⬆/⬇) at local turning points in the oscillator cycle, indicating potential reversals. Zero-Line Crosses : Basic bullish/bearish momentum changes. Usage Tips Trend Confirmation: Use in trending markets—persistent positive/negative values confirm up/down trends. Pair with moving averages for entries. Mean-Reversion: In sideways markets, trade MR signals from extremes. Combine with support/resistance. Divergences: Look for price making new highs/lows while DLO doesn't for reversal setup. Alerts MR Buy/Sell: Extreme zone crosses (percentile-based). Reversion Up/Down: Cycle turning points. Osc Bullish/Bearish Cross: Zero-line crosses. Limitations Like all oscillators, DLO can lag in strong trends or produce false signals in choppy markets, use with confirmation. Percentile thresholds adapt over time but may vary by asset volatility. Not a standalone system; always combine with risk management.
Pine Script® インジケーター
GainzAlgoの投稿
23
Absorption ReversalAbsorption Reversal detects institutional absorption patterns at the extremes of a trading range. When price reaches a range boundary, large limit orders from institutional players can "absorb" aggressive market orders — this creates a characteristic candle with high volume and a long rejection wick. The indicator identifies these setups and waits for confirmation before signaling a reversal. Free & Open Source — no invite-only access, no paywall. Full source code, fully transparent. ## The Concept: What Is Absorption? In order flow terms, absorption occurs when resting limit orders at a price level absorb incoming market orders without allowing price to break through. This is a core concept in Wyckoff analysis (Effort vs. Result) and institutional trading: - High volume (Effort) + small price movement / long wick (no Result) = absorption - The wick shows that price was pushed to the extreme but immediately rejected - This typically happens at range boundaries where institutional players defend levels The indicator automates this detection process with quantifiable rules. ## How It Works The signal generation follows a strict 6-step process: Step 1 — Range Detection: A Donchian Channel (highest high / lowest low) defines the current trading range boundaries. Step 2 — Range Width Filter: The channel width must be below its own average — confirming the market is sideways/contracting, not expanding into a trend. Step 3 — ADX Trend Filter: Wilder's ADX must be below the threshold (default 25) — no strong trend active. Absorption setups work best in range-bound markets. Step 4 — Proximity Check: Price must be in the upper or lower proximity zone of the range (default: outer 15%). Absorption in the middle of a range is meaningless. Step 5 — Absorption Bar: A candle that shows: - Volume spike (default 1.5x average — significant participation) - Long rejection wick (default 66% of candle range — strong rejection) - Located at the range extreme (within proximity zone) Step 6 — Confirmation: Within the next N bars (default 3), a follow-up candle must close back inside the range in the expected reversal direction. No confirmation = no signal. ## Chart Elements - Range Lines — Donchian Channel upper (red) and lower (green) boundaries - Proximity Zones — Optional shaded areas showing where absorption signals can trigger - Orange Diamonds — Absorption bars detected (before confirmation) - Green/Red Triangles + BUY/SELL Labels — Confirmed reversal signals only ## Dashboard The real-time dashboard displays: - Market Regime — Range or Trending (based on ADX + channel width) - ADX Value — Current trend strength with classification - Range Width — Contracting or Expanding - Position — Where price sits in the range (Near High / Near Low / Middle) - Volume — Current volume relative to average + spike detection - Pending — Active absorption bars awaiting confirmation (with countdown) ## Settings Range Detection: Donchian Channel Length (default 20), Proximity Zone % (default 15%) Trend Filter: ADX Filter ON/OFF (default ON), Range Width Filter ON/OFF (default ON) Absorption Criteria: Min Wick/Range Ratio (default 0.66), Volume SMA Length (default 20), Volume Spike Multiplier (default 1.5x) Confirmation: Max Confirmation Bars (default 3) ## Alerts 4 alert conditions: - Absorption Buy Signal — confirmed bullish reversal at range low - Absorption Sell Signal — confirmed bearish reversal at range high - Bullish Absorption Detected — absorption bar found, awaiting confirmation - Bearish Absorption Detected — absorption bar found, awaiting confirmation ## Best Used For - Identifying high-probability reversal setups at range boundaries - Spotting institutional absorption activity via volume + wick analysis - Range-trading strategies with clear entry signals - Confluence tool alongside other indicators - Works on all instruments: stocks, forex, crypto, futures, indices ## Technical Notes - Pine Script v6 (latest version) - Signals on confirmed bars only — no repainting - State-based confirmation logic - Open source, no external dependencies - All inputs have tooltips ## Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. No signals should be interpreted as buy or sell recommendations. Past performance is not indicative of future results. Always implement proper risk management. Trade at your own risk.
Pine Script® インジケーター
alphachart_tvの投稿
1
Adaptive Channel Breakout [MarkitTick]💡 This script is a trend-following system designed to identify high-probability breakout opportunities while rigorously filtering out market noise. By synthesizing volatility (ATR), trend strength (ADX), and price extremes (Donchian logic), this indicator attempts to solve the classic problem of false breakouts in ranging markets. It features a regime-detection engine that dynamically adjusts the visual feedback and signal generation based on whether the market is trending or consolidating. ✨ Originality and Utility Most breakout indicators rely solely on price crossing a fixed threshold (like a 20-day High). However, these systems often fail in "choppy" markets where price seeks liquidity above highs before reversing. This script innovates by: Volatility-Adjusted Bounds: It does not simply track the Highest High or Lowest Low. Instead, it retracts the channel bounds by a multiple of the Average True Range (ATR). This creates a "tightened" breakout requirement—price must not only make a new high but do so with enough momentum to overcome the volatility threshold. Regime Filtering: Integrated ADX/DMI logic categorizes the market into Bull, Bear, or Range. Signals are filtered to align with the dominant regime (e.g., no Longs are permitted if the internal structure is Bearish). Logarithmic Scaling: A unique feature allowing calculations to be performed on Logarithmic price data, making it highly suitable for parabolic assets like Crypto or small-cap stocks where linear percentage moves vary drastically. Time-Based Exits: Recognizes that "stale" trades—those that do not perform immediately—often turn into losses, and provides visual cues to exit if momentum stalls. 🔬 Methodology and Concepts The core logic operates on a three-stage pipeline: 1. Market Regime Classification The script utilizes the Directional Movement Index (DMI) and Average Directional Index (ADX) to determine the state of the market. Trending: Defined as ADX > Threshold (default 25). Range: Defined as ADX < Threshold. Direction: Determined by the relationship between DI+ and DI-. 2. Adaptive Channel Construction The channels are calculated using a modified Donchian/ATR hybrid approach: Upper Band: Highest High (N) minus (ATR × Multiplier) . Lower Band: Lowest Low (N) plus (ATR × Multiplier) . Note: By subtracting ATR from the High, the Upper Band acts as a trailing resistance level that gets closer to price as volatility decreases, allowing for earlier entries during volatility squeezes. 3. Signal Generation & Filtering Long Signal: Price crosses over the Upper Band, provided the market is in a Bull or Range regime. Short Signal: Price crosses under the Lower Band, provided the market is in a Bear or Range regime. Stale Exit: If a signal is generated but price fails to reverse or progress significantly within a user-defined bar limit (default 10), a "Time Exit" warning is triggered. 🎨 Visual Guide The indicator is designed for immediate visual interpretation through color-coding and dashboard analytics. ● Channel Bands Upper Line: Represents the dynamic resistance/breakout level. Lower Line: Represents the dynamic support/breakout level. Color Logic: Gray: Indicates the opposing side of the trend (e.g., Upper band is gray during a downtrend). Green: Active Upper Band during a Bullish phase. Red: Active Lower Band during a Bearish phase. ● Background Fills (Market Regime) The space between the channels is filled to indicate the current market state: Green Fill: Bullish Trend (ADX High, DI+ > DI-). Red Fill: Bearish Trend (ADX High, DI- > DI+). Yellow Fill: Range/Accumulation (ADX Low). Breakouts from Yellow zones are often the most explosive. ● Signal Shapes Green Triangle (Below Bar): Valid Long Breakout Signal. Red Triangle (Above Bar): Valid Short Breakout Signal. Orange "X" (Below Bar): Time Exit/Stale Trade. Indicates the trade has not progressed after N bars. ● Dashboard (Top Right) A table displaying real-time metrics: Market Regime: Explicitly states TREND (Bull/Bear) or RANGE. Volatility: Displays the current ATR value. ADX Strength: Shows the ADX value, highlighting it in white if it is above the trending threshold. 📖 How to Use For Trend Following Wait for the background color to transition from Yellow (Range) to Green (Bull) or Red (Bear). This signifies a volatility expansion from a consolidation period. Enter on the corresponding Triangle signal. For Risk Management Stop Loss: The script calculates suggested Stop Losses (SL) based on the opposite channel band. Stale Exits: If you see an Orange "X" appear after entering a trade, consider closing the position or tightening stops, as the momentum impulse has faded. For Crypto/Parabolic Assets Enable the "Use Logarithmic Scale" setting in the inputs. This normalizes the volatility calculations, preventing the bands from becoming too wide during exponential price increases. ⚙️ Inputs and Settings Adaptive Parameters Lookback Length (20): The period for High/Low and ATR calculations. ATR Multiplier (3.2): Determines the width of the channel. Higher values reduce false signals but delay entry. (3.2 is tuned for outlier detection). Use Logarithmic Scale: Toggles math.log() calculations for High, Low, and Close. Filters & Exits ADX Threshold (25): The level at which the market is considered "Trending." Time Exit (Bars) (10): The number of bars allowed for a trade to "work" before being flagged as stale. UI / Dashboard Show Analytics Dashboard: Toggles the on-screen information table. Size: Adjusts the text size of the dashboard (Tiny, Small, Normal). 🔍 Deconstruction of the Underlying Scientific and Academic Framework 1. Outlier Detection Theory The script uses an ATR Multiplier of 3.2. In normal statistical distributions, 3 standard deviations cover 99.7% of data points. While financial markets are leptokurtic (fat-tailed), a multiplier of 3.2 on the ATR effectively acts as an outlier filter. A breach of this band signifies a price movement that is statistically significant relative to recent noise, suggesting a structural shift in supply/demand rather than random variance. 2. Heteroscedasticity Handling By including a Logarithmic option, the script addresses heteroscedasticity—the phenomenon where the variability of a variable is unequal across the range of values. In simpler terms, a $100 move in Bitcoin at $1,000 is different from a $100 move at $60,000. Using log-returns (math.log) ensures the channel width remains proportionally relevant regardless of the asset's absolute price level. 3. Trend Efficiency (ADX) The integration of J. Welles Wilder’s ADX serves as a filter for "Trend Efficiency." Breakout systems suffer drawdown in mean-reverting markets. By mathematically requiring ADX > 25, the model attempts to trade only when the autocorrelation of price changes is positive (trending behavior), thereby increasing the expectancy of the breakout signal. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® インジケーター
MarkitTickの投稿
2
Adaptive Buy Sell Signal [AvantCoin] A comprehensive customized indicator for different markets 🔴Before you start🔴: Please note that this tool is designed to assist you in analyzing the market, and NOT to make buy/sell decisions for you. You should combine its data with your own strategies and indicators before making any trading choices ==================== Market-Specific Optimizations Auto-Detection (or Manual Selection) It automatically detects which market you're trading: Forex (EUR/USD, GBP/USD, etc.) Stocks (AAPL, TSLA, etc.) Indices (NAS100, SPX, etc.) Commodities (Gold, Silver, Oil) Crypto (BTC, ETH, etc.) avantcoin.com Forex-Specific Features: ✅ Session Filters: Avoids low-liquidity Asian session ✅ Session backgrounds: Green for London/NY overlap (best trading time) ✅ Tighter ADX threshold (20) - good for Forex trends ✅ Lower volatility filter - skips dead zones ⚙️ Min Confluence: 5 (balanced) ⚙️ Cooldown: 5 bars ⚙️ Volume threshold: 1.3x (Forex has consistent volume) avantcoin.com Stocks-Specific Features: ✅ Market hours filter: Only signals during NYSE hours. ✅ Gap detection: Avoids trading immediately after large gaps up/down ✅ Higher ADX threshold (22) - Stocks trend differently ✅ Stricter volume requirement (1.5x) - Stocks vary more ⚙️ Min Confluence: 6 (higher quality) ⚙️ Cooldown: 3 bars (stocks move faster) Indices (Nasdaq, S&P; 500): ✅ Similar to stocks but slightly more lenient ✅ Lower ADX (18) - Indices are smoother ⚙️ Min Confluence: 5 ⚙️ Cooldown: 4 bars Commodities (Gold, Silver, Oil): ✅ Highest ADX requirement (23) - Only trade strong trends ✅ Higher volatility filter (1.6x) - Commodities can be wild ⚙️ Min Confluence: 6 ⚙️ Cooldown: 6 bars (avoid whipsaws) Crypto: ✅ 24/7 trading (no session restrictions) ✅ Lower ADX (15) - Crypto is always volatile ✅ Much higher volume threshold (2.0x) - Crypto volume spikes ⚙️ Min Confluence: 4 (crypto moves fast) ⚙️ Cooldown: 3 bars 📊 Visual Enhancements: Market Type Badge at top of table (Forex, Stocks, etc.) Session Status: Forex: Shows 🟢 LDN/NY, 🔵 London, 🟠 NY, 🔴 Asian Stocks: Shows 🟢 Open or 🔴 Closed Session Background Colors on chart (optional) Current Settings Display: Shows your Min score, ADX threshold, Cooldown ⚙️ How to Use: For Forex: Enable "Avoid Asian Session" Best signals during London/NY overlap For Stocks: Enable "Trade Stock Hours Only" Watch for gap warnings avantcoin.com
Pine Script® インジケーター
AvantCoinの投稿
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Pine Script® インジケーター
BOSWavesの投稿
Crypto ADX Scanner Purpose Crypto ADX Scanner helps traders quickly identify which selected assets are currently trending strongly. It scans multiple symbols at once and ranks them by ADX (Average Directional Index) strength. What This Indicator Does Monitors up to 20 user-selected assets Calculates ADX for each asset on the current chart timeframe Filters assets where ADX ≥ threshold Sorts qualifying assets from strongest to weakest trend Displays results in a table overlay How to Use Add the indicator to any chart. Set your Asset 1–20 symbols. Adjust ADX Threshold to control how strict “strong trend” is. Focus on the top assets in the table — these have the strongest trends right now. Apply your own entry strategy on the shortlisted assets. Key Settings ADX Threshold (default 25) Higher = only strong trends Lower = earlier trend detection ADX Length / Smoothing Controls responsiveness vs smoothness of trend strength How to Interpret ADX ADX measures trend strength only, not direction Higher ADX = stronger trend (bullish or bearish) Direction should be confirmed with price structure or other indicators Best Use Case Market scanning Watchlist filtering Identifying trend-friendly assets Avoiding choppy or low-momentum markets Notes Works on any timeframe Table updates automatically on the latest bar Designed as a trend-strength filter, not a buy/sell signal
Pine Script® インジケーター
RiskManagementInvestorの投稿
Apex Wallet - Adaptive Average Directional Index (ADX) & Trend DOverview The Apex Wallet Average Directional Index (ADX) is an enhanced version of the classic Wilder’s DMI/ADX system, designed to filter market noise and pinpoint trend strength with precision. Unlike standard indicators, this script features an adaptive engine that recalibrates its internal logic based on your specific trading style. Adaptive Trading Engine The core strength of this script is its three-mode preset system: Scalping: Fast-response settings (ADX 7) for quick scalp opportunities on low timeframes. Day-Trading: Balanced settings (ADX 14) optimized for intraday sessions. Swing-Trading: High-filter settings (ADX 21) designed to capture major market waves. Visual Intelligence & Labels To ensure clarity, the script features a dynamic labeling system directly on the ADX line: Trend Strength Zones: Clear horizontal markers for "Consolidation," "Trending," and "Extremely Strong" phases. Real-time Status Labels: The ADX line changes color and displays its current state (Bullish, Bearish, or Consolidation) directly on the chart. Optimized UI: No sidebar panels to clutter your view; all essential information is integrated into the oscillator window. How to Use: Select your Trading Mode in the settings. Monitor the ADX color: Green indicates a strong bullish trend, Red indicates a strong bearish trend, and White/Orange signals consolidation. Use the labels to confirm if the market is currently in a high-conviction trend phase or sideways range.
Pine Script® インジケーター
Apex-Walletの投稿
Institutional Alpha Vector | D_QUANT Institutional Alpha Vector | D_QUANT Overview The Institutional Alpha Vector (IAV) is an original trend-following framework that replaces single-indicator bias with a Weighted Composite Score . Instead of relying on a simple moving average, this script aggregates four distinct quantitative dimensions—Price, Momentum, Volatility, and Volume—into a normalized value called the "Alpha Vector." The goal of this tool is to identify "Institutional Consensus"—periods where multiple mathematical models align in the same direction, reducing the likelihood of false breakouts in choppy markets. How It Works: The Quantitative Engines The script calculates four independent signals. For each module, a state is stored (1 for Bullish, -1 for Bearish, 0 for Neutral). 1. Price Filter (Hull Moving Average): The script uses an HMA (a weighted moving average that reduces lag by using the square root of the period). A signal is triggered when the price crosses over/under this "Spine." 2. Volatility Regime (RMA + ATR): This module uses a Moving Average (RMA) combined with an Average True Range (ATR) offset. It acts as a volatility filter that price must move beyond 1 ATR from the mean to register a trend, ensuring the market isn't just "drifting." 3. Momentum Physics (ADX/DMI): Based on J. Welles Wilder’s Directional Movement Index. It checks if the is above (or vice versa) but only if the ADX (Average Directional Index) is above a user-defined threshold (default: 10), confirming the presence of a strong trend. 4. Institutional Flow (Chaikin Money Flow): This confirms price action with volume. It calculates the accumulation/distribution of money flow over a specific period. A signal is only valid if the CMF is positive (Bullish) or negative (Bearish). The Alpha Vector Calculation This is the core "originality" of the script. The indicator takes the active modules and calculates a Composite Score : This results in a value between -1.0 and +1.0 . * High Confidence Long: When the score exceeds +0.1 (adjustable). * High Confidence Short: When the score drops below -0.1 (adjustable). * Neutral Zone: When the score is near 0, the script colors the bars grey, signaling a lack of institutional consensus. Visual Intelligence: The "Electric Conduit" The script visualizes market energy through a custom rendering engine: * The Spine: A central line representing the HMA trend. * The Conduit (Fill): A dynamic gradient that expands or contracts based on the ATR (Average True Range) . This allows traders to see "volatility expansion" (wide ribbon) vs "compression" (tight ribbon) at a glance. * Bar Coloring : Automatically aligns the chart candles with the Alpha Vector state to remove cognitive load. How to Use 1. Define your Strategy: In the settings, you can toggle specific modules. If you are trading a low-volume asset, you might disable the **CMF** module. 2. Identify the Consensus: Look for the ribbon to change from Grey (Neutral) to Cyan/Gold. 3. Monitor the HUD: A small dashboard in the bottom right displays the live Alpha Vector score. A score of 1.0 means all four engines are in 100% bullish agreement. Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes and does not constitute financial advice.
Pine Script® インジケーター
D_QUANTの投稿
Volatility Breakout System [Fixed Risk] This is a trend-following breakout strategy designed to capture volatility expansion while filtering out low-momentum "chop." It is built on the philosophy that significant price moves are often preceded by a breakout of volatility bands (Keltner Channels) accompanied by Volume and Trend Strength (ADX). Strategy Logic: Volatility Breakout: The primary trigger is a candle closing outside the Keltner Channels. This indicates price is moving faster than the average range. Trend Filter: Trades are only taken in the direction of the 200 EMA. Momentum Filter (ADX): The ADX filter ensures we only enter when the trend strength is above a specific threshold (Default: 20). This prevents the strategy from buying tops or selling bottoms in ranging markets. Volume Confirmation: A breakout without volume is often a fake-out. This script requires volume to be higher than the moving average. Risk Management (Automated): Stop Loss: Based on ATR (Average True Range) to adapt to current market volatility. Trailing Stop: Once the trade moves in favor, a trailing stop is activated to lock in profits. Breakeven: If price moves X% in favor, the Stop Loss is automatically moved to the entry price to protect capital. Cooldown: Includes a safety mechanism to prevent over-trading immediately after a signal. Backtesting Notes: This script is set up with use_bar_magnifier=true. For accurate results, use this on higher timeframes (1H, 4H) or ensure you have a Premium account for intrabar inspection. Inputs: You can toggle the "Compounding" feature to test fixed cash vs. % equity growth. Webhooks are fully configurable for alert automation.
Pine Script® ストラテジー
debdaspt85の投稿
11
Apex Wallet - Lorentzian Classification: Adaptive Signal SuiteOverview The Apex Wallet Lorentzian Classification is a high-performance signal engine that utilizes an adaptive multi-feature approach to identify high-probability entry points. It synthesizes five distinct technical features—RSI, CCI, ADX, MFI, and ROC—to calculate a weighted trend bias. Dynamic Adaptation The core strength of this indicator is its ability to automatically recalibrate its internal periods based on your selected Trading Mode. Scalping: Uses ultra-fast periods (e.g., RSI 7, ADX 10) for quick reaction on 1m to 5m charts. Day-Trading: Balanced settings (e.g., RSI 14, ADX 14) optimized for 15m to 1h timeframes. Swing-Trading: Smooth, long-term filters (e.g., RSI 21, ADX 20) to capture major market shifts. Logic & Signal Flow Feature Extraction: The script calculates five momentum and volatility features using the current close price. Signal Summation: Each feature contributes to a global signal score based on established technical thresholds. EMA Smoothing: The raw signal is processed through an EMA filter to eliminate market noise and false breakouts. Execution: Clear BUY and SELL labels are printed directly on the chart when the smoothed score crosses specific conviction levels. Key Features: Zero-Configuration: No need to manually adjust lengths; simply pick your trading style. Clean Visuals: High-fidelity labels (BUY/SELL) with integrated alert conditions for automation. Prop-Firm Ready: Ideal for traders needing fast confirmation for high-conviction trades.
Pine Script® インジケーター
Apex-Walletの投稿
Guac's MAs, BBs, and ADX (SMA/EMA/BB + ADX/DI + Daily ATR)As someone who browses through numerous TradingView scripts, I find many ideas/functions that I find useful. However, sometimes I find certain features that I don't find useful or that could be added to make something more useful. Because of this I designed this script to collectively encompass functionality of the items/indicators I find useful when looking at an index/equity chart. This script was desgined/inspired to keep the chart clean while providing signal context for trend, volatility, price action, and regime conditions. Summary of what this script does: Plots a compact, customizable set of SMAs + EMAs for structure and trend layering. Adds Bollinger Bands with expansion/contraction coloring to visualize volatility state. Optionally overlays ADX/DI regime context, including: • an ADX-based “regime fill” (temperature-style colors) on the BB fill • optional DI+ / DI- cross markers for directional shift awareness • expanded ADX regime labels (Dead Chop → Very Strong/Extended) • optional “ADX momentum” (smoothed ADX slope) in the status label to show regime acceleration/decay Provides a small corner “Regime Status Label” that summarizes ADX regime (with numeric ADX) when enabled. Optionally appends Daily ATR (value + momentum) to the same label for range/volatility context that is consistent across intraday timeframes. I always find it frustrating when I am testing or playing with someones indicator and they don't have tooltips implemented so that I can understand the purpose of their parameters and the inputs. I have specifically tried to implement tooltip info bubbles next to every parameter input to give a short explanation of the parameter and it's purpose
Pine Script® インジケーター
ExtraGuacAMの投稿
MDZ Strategy v4.2 - Multi-factor trend strategyWhat This Strategy Does MDZ (Momentum Divergence Zones) v4.2 is a trend-following strategy that enters long positions when multiple momentum and trend indicators align. It's designed for swing trading on higher timeframes (2H-4H) and uses ATR-based position management. The strategy waits for strong trend confirmation before entry, requiring agreement across five different filters. This reduces trade frequency but aims to improve signal quality. Entry Logic A long entry triggers when ALL of the following conditions are true: 1. EMA Stack (Trend Structure) Price > EMA 20 > EMA 50 > EMA 200 This "stacked" alignment indicates a strong established uptrend 2. RSI Filter (Momentum Window) RSI between 45-75 (default) Confirms momentum without entering overbought territory 3. ADX Filter (Trend Strength) ADX > 20 (default) Ensures the trend has sufficient strength, not a ranging market 4. MACD Confirmation MACD line above signal line Histogram increasing (momentum accelerating) 5. Directional Movement +DI > -DI Confirms bullish directional pressure Exit Logic Positions are managed with ATR-based levels: ParameterDefaultDescriptionStop Loss2.5 × ATRBelow entry priceTake Profit6.0 × ATRAbove entry priceTrailing Stop2.0 × ATROptional, activates after entry The default configuration produces a 1:2.4 risk-reward ratio. Presets The strategy includes optimized presets based on historical testing: PresetTimeframeNotes1H Standard1 HourMore frequent signals2H Low DD2 HourConservative settings3H Optimized3 HourBalanced approach4H Swing4 HourWider stops for swing tradesCustomAnyFull manual control Select "Custom" to adjust all parameters manually. Inputs Explained EMAs Fast EMA (20): Short-term trend Slow EMA (50): Medium-term trend Trend EMA (200): Long-term trend filter RSI Length: Lookback period (default 14) Min/Max: Entry window to avoid extremes ADX Min ADX: Minimum trend strength threshold Risk Stop Loss ATR: Multiplier for stop distance Take Profit ATR: Multiplier for target distance Trail ATR: Trailing stop distance (if enabled) Session (Optional) Filter entries by time of day Recommended OFF for 3H+ timeframes What's Displayed Info Panel (Top Right) Current preset Trend status (Strong/Wait) ADX, RSI, MACD readings Position status Risk-reward ratio Stats Panel (Top Left) Net P&L % Total trades Win rate Profit factor Maximum drawdown Chart EMA lines (20 blue, 50 orange, 200 purple) Green background during strong uptrend Triangle markers on entry signals Important Notes ⚠️ This is a long-only strategy. It does not take short positions. ⚠️ Historical results do not guarantee future performance. Backtests show what would have happened in the past under specific conditions. Markets change, and any strategy can experience drawdowns or extended losing periods. ⚠️ Risk management is your responsibility. The default settings risk 100% of equity per trade for backtesting purposes. In live trading, appropriate position sizing based on your risk tolerance is essential. ⚠️ Slippage and commissions matter. The backtest includes 0.02% commission and 1 tick slippage, but actual execution costs vary by broker and market conditions. Best Practices Test on your specific market — Results vary significantly across different instruments Use appropriate position sizing — Never risk more than you can afford to lose Combine with your own analysis — No indicator replaces understanding market context Paper trade first — Validate the strategy matches your trading style before risking capital Alerts Two alerts are available: MDZ Long Entry: Fires when all entry conditions are met Uptrend Started: Fires when EMA stack first aligns bullish Methodology This strategy is based on the principle that trend continuation has better odds than reversal when multiple timeframe momentum indicators agree. By requiring five independent confirmations, it filters out weak setups at the cost of fewer total signals. The ATR-based exits adapt to current volatility rather than using fixed pip/point targets, which helps the strategy adjust to different market conditions. Questions? Leave a comment below.
Pine Script® ストラテジー
VolForgeの投稿
Day Trading Signals Trend & Momentum Buy/Sell [CocoChoco]Day Trading Signals: Trend & Momentum Buy/Sell Overview The indicator is a comprehensive day-trading tool designed to identify high-probability entries by aligning short-term momentum with long-term trend confluence. It filters out low-volatility "choppy" markets using ADX and ensures you are always trading in the direction of the dominant higher-timeframe trend. Important: Use on timeframes from 15 min to 2 hours, as the indicator is for day trading only. How It Works The script uses a three-layer confirmation system: Trend Alignment: Uses a Fast/Slow SMA cross (10/50) on the current chart. Signal prints only if price closes above (for bullish) or below (for bearish) the 10-period SMA. Higher Timeframe Confluence: The script automatically looks at a higher timeframe (1H for charts <=15m, and 4H for others) and checks if the price is above/below a 200-period SMA. Momentum & Volatility: Signals are only triggered if the Stochastic Oscillator is rising/falling and the ADX is above 20, ensuring there is enough "strength" behind the move. Visual Signals Buy/Sell Green Label (Up Arrow): Bullish entry signal Red Label (Down Arrow): Bearish entry signal. Red "X": Exit signal based on a moving average crossover (trend exhaustion). Visual Risk/Reward (1:1) Boxes: When a signal appears, the script automatically draws a projection of your Stop Loss (Red) and Take Profit (Green) based on the current ATR (Average True Range). How to Use Entry: Enter when a Label appears. Ensure the candle has closed to confirm the signal. Stop Loss/Take Profit: Use the visual boxes as a guide. The default is 1.0 ATR for risk and 1.0 RR ratio, which can be adjusted in the settings. Exit: Exit the trade either at the target boxes or when the Red "X" appears, indicating the trend has shifted. Please note that this is just a tool, not financial advice. Perform your own analysis before entering a trade.
Pine Script® インジケーター
CocoChoco1の投稿
Adaptive Trend Mapper-ATM [Arjo]Adaptive Trend Mapper (ATM) is a directional pressure indicator designed to visualize how buying and selling commitment evolves during market trends. Instead of focusing on price direction alone, ATM maps who is exerting stronger pressure —buyers or sellers—and how that pressure expands, weakens, or compresses over time. Idea ATM is built around a single concept: Directional pressure is best understood by weighting trend strength against directional imbalance . To achieve this, the indicator transforms trend strength into two opposing pressure measures: Bull Pressure Index Bear Pressure Index These indices expand, contract, and converge based on how strongly buyers or sellers are committing, rather than simply tracking momentum or price changes. How It Works 1. Bull & Bear Pressure Indices ATM derives two pressure curves by weighting trend strength against directional imbalance: The Bull Pressure Index increases when upward pressure strengthens. The Bear Pressure Index increases when downward pressure strengthens. Both indices operate on a 0–100 scale and are designed to diverge during strong trends and converge during non-directional or compressed phases. Optional smoothing can be applied to reduce noise and improve readability. 2. Compression / Squeeze Detection When: Trend strength weakens, Bull and Bear pressure converge, And convergence continues over time, ATM highlights a compression zone, signaling reduced directional conviction. These zones often precede directional expansion once pressure rebuilds. 3. Adaptive Trend Context An adaptive smoothed price curve is displayed on the chart to provide trend context. Color changes reflect short-term directional shifts, helping align pressure signals with price structure. This component is contextual only and does not generate signals by itself. 4. Optional Trend Bias Reference An optional EMA-50 can be enabled to help identify broader directional bias and align pressure behavior with the prevailing trend. 5. Step-Based Visualization The pressure indices can be optionally step-compressed, improving clarity on fast or noisy charts by reducing minor fluctuations. How to Use ATM Rising Bull Pressure → strengthening buyer commitment Rising Bear Pressure → strengthening seller commitment Wide separation between indices → strong directional trend Convergence with compression highlight → range or pre-breakout environment Notes ATM uses widely known market concepts such as trend strength, directional imbalance, and adaptive smoothing as conceptual inputs. All calculations, pressure mapping logic, and compression detection are original implementations developed specifically for this script. ATM is effective when used to assess participation quality, not as a standalone signal generator. Disclaimer This indicator is intended for analysis and educational purposes only. It does not generate buy or sell signals. Always apply proper risk management. Happy Trading.
Pine Script® インジケーター
ARJO_2019の投稿
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes. This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility. 🛠 Methodology & Logic The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital. 1. Market Structure Filter (200 EMA) Indicator: Exponential Moving Average (Length 200). Logic: The 200 EMA acts as the baseline for the long-term trend regime. Bullish Regime: Price must close above the 200 EMA. Bearish Regime: Price must close below the 200 EMA. Purpose: Prevents counter-trend trading against the macro direction. 2. Signal Trigger & Trailing Stop (Supertrend) Indicator: Supertrend (ATR Length 14, Factor 3.5). Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility. Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates. 3. Volatility Gatekeeper (ADX Filter) Indicator: Average Directional Index (Length 14). Threshold: > 25. Logic: A high ADX value indicates a strong trend presence, regardless of direction. Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail. 4. Momentum Confirmation (DMI) Indicator: Directional Movement Index (DI+ and DI-). Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa. Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike. 📋 How to Use This Strategy 🟢 LONG (BUY) Setup A Buy signal is generated only when ALL of the following occur simultaneously: Price Action: Price closes ABOVE the 200 EMA (Orange Line). Trigger: Supertrend flips to GREEN (Bullish). Strength: ADX is greater than 25 (Strong Trend). Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus). 🔴 SHORT (SELL) Setup A Sell signal is generated only when ALL of the following occur simultaneously: Price Action: Price closes BELOW the 200 EMA (Orange Line). Trigger: Supertrend flips to RED (Bearish). Strength: ADX is greater than 25 (Strong Trend). Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus). 🛡 Exit Strategy Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop. Exit Long: When Supertrend turns Red. Exit Short: When Supertrend turns Green. Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio. 📊 Included Features Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position. Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization). Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status. ⚠️ Risk Warning & Best Practices Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs. Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise. News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
Pine Script® ストラテジー
Gustav_Rexの投稿
2
Next Candle PredictorAdvanced TradingView Indicator for Precise Buy and Sell Signals Overview: The Predicta Futures - Next Candle Predictor is a cutting-edge TradingView indicator designed to forecast the next candle's direction in futures and cryptocurrency markets. Leveraging a multi-indicator confluence strategy, this tool provides traders with actionable long and short prediction percentages, enhanced by dynamic ADX-based thresholds and visual projection candles. Ideal for scalping, day trading, or swing trading on platforms like MEXC or Binance futures, it combines Supertrend, MACD, RSI, Stochastic, ADX, and volume analysis to deliver high-probability buy and sell signals while minimizing false positives. Key Features: * Multi-Indicator Confluence Scoring: Integrates Supertrend for trend direction, EMAs (8, 21, 50) for alignment, MACD for momentum crossovers, RSI for overbought/oversold conditions, Stochastic for divergence detection, ADX for trend strength, and volume ratios for confirmation. A customizable confluence score (0-6) ensures signals meet user-defined criteria, reducing whipsaws in volatile markets. * Dynamic Prediction Thresholds: ADX-driven adjustments lower the required prediction percentage (e.g., 60% in strong trends) for "PERFECT TIME" entries, adapting to market conditions like ranging or trending phases. * Visual Analysis Table: A sleek, color-coded dashboard displays progress bars for each indicator, prediction percentages, and status (e.g., "PERFECT TIME" or "WAIT"). Supports long and short analyses with intuitive ASCII bars for quick scans. * Projection Candles: Simulates potential next-candle outcomes with volatility-scaled (via Bollinger Bands width) green long and red short candles, aiding in visualizing price targets. Buy/Sell Signals and Alerts: Generates labeled "BUY" and "SELL" arrows on EMA crossovers within confirmed trends, with separate alerts for basic signals and high-confluence "PERFECT TIME" opportunities. * Customizable Inputs: Adjust ATR periods, Supertrend factors, minimum confluence scores, and volume ratios to tailor the indicator for stocks, forex, or crypto perpetual futures. How It Works: This TradingView script calculates long and short scores using weighted contributions from key indicators, normalizing them into prediction percentages. A confluence check—factoring trend, EMA alignment, MACD, Stochastic, volume, and ADX—triggers "PERFECT TIME" only when conditions align robustly. For example: In a downtrend (Supertrend red), with bearish MACD and Stochastic, and sufficient volume, the indicator highlights short opportunities. Dynamic thresholds ensure aggressive entries in strong trends (ADX >25) and conservative ones in weak trends. Backtested for reliability, it excels in identifying reversals and continuations, making it a must-have for traders seeking an edge in futures trading strategies. Usage Instructions: 1. Add the indicator to your TradingView chart. 2. Customize settings via the inputs panel (e.g., set minConfluence to 5 for stricter signals). 3. Monitor the analysis table for predictions and confluence scores. 4. Act on "BUY/SELL" labels or "PERFECT TIME" alerts, combining with your risk management. 5. Enable projection candles for visual forecasting of the next bar. Compatible with all timeframes, from 1-minute scalping to daily swings. Note: This is not financial advice; always verify signals with additional analysis. Rate and review if it boosts your trades! Thank you!
Pine Script® インジケーター
PredictaFuturesの投稿
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events. 🔶 Advanced SMA-MAD Band Construction Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations. // Core SMA-MAD Framework SMA_Value = ta.sma(close, SMA_Length) Mean = ta.sma(close, MAD_Length) Abs_Deviation = abs(close - Mean) MAD_Value = ta.sma(Abs_Deviation, MAD_Length) // Adaptive Bands Upper_Band = SMA_Value + MAD_Factor * MAD_Value Lower_Band = SMA_Value - MAD_Factor * MAD_Value 🔶 Intelligent Dual-Filter System Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations. 🔶 Dynamic Trend Strength Engine Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements. 🔶 Super Trend-Style Direction Logic Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility. 🔶 ATR-Based Ribbon Visualization Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions. 🔶 Multi-Dimensional Visual Architecture Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components. 🔶 Slope Strength Validation Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position. 🔶 Signal Generation Framework Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates. This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Pine Script® インジケーター
AlphaExtractの投稿
11
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions Overview ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength. Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions. The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves. Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength. Conceptual Framework ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines. Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes. Three guiding principles define the framework: Volatility must be conditioned on trend strength Extremes occur within zones, not at lines Signals should emerge from completed wave transitions, not instantaneous touches This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation. Theoretical Foundation The indicator fuses directional movement theory with statistical volatility modeling. Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium. From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases. At its core are three interacting systems: ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves. Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions. State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium. This structure ensures that signals reflect completed volatility waves, not transient noise. How It Works ADX Volatility Waves processes price action through layered wave mechanics: Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength. Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions. Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves. Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave. Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals. Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form. Together, these processes create a continuous, adaptive wave map of volatility behavior. Interpretation ADX Volatility Waves reframes market reading around volatility cycles: Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility. Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion. Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals. Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion. Wave progression and completion matter more than single-bar interactions. Signal Logic & Visual Cues ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period. Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger. Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress. All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods. Strategy Integration ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks: Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries. Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion. Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions. Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves. Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior. Technical Implementation Details Core Engine : ADX-normalized volatility expansion Wave System : Smoothed, offset, expanded volatility waves Visualization : Multi-layer gradient wave zones Signal Logic : State-based wave transitions with cooldown enforcement Alerts : Wave entry, wave completion, volatility compression Performance Profile : Lightweight, real-time optimized overlay Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Short-term volatility waves and intraday transitions 15 - 60 min : Structured intraday wave cycles 4H - Daily : Macro volatility regimes and expansion phases Suggested Baseline Configuration: BB Length : 20 BB StdDev : 1.5 ADX Length : 14 ADX Influence : 0.8 Wave Offset : 1.0 Wave Width : 1.0 Neutral Confirmation : 5 bars These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Performance Characteristics High Effectiveness: Markets exhibiting rhythmic volatility expansion and contraction Assets with responsive ADX regime behavior Reduced Effectiveness: Erratic, news-driven price action Illiquid markets with distorted volatility metrics Integration Guidelines Confluence : Combine with BOSWaves structure or trend tools Discipline : Respect wave completion and cooldown logic Risk Framing : Interpret wave depth probabilistically, not predictively Regime Awareness : Always contextualize waves within ADX strength Disclaimer ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Pine Script® インジケーター
BOSWavesの投稿
15