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Vinz Win BTC – STRATEGY AUTO 1m🚀 VinzWin BTC Strategy – BTC Scalping AUTO 1 min The VinzWin strategy is based on a simple and highly effective price action pattern: ✅ 2 red candles followed by 1 green candle ✅ Doji filter set to 0 ✅ Trading exclusively on BTC ✅ Session from 12:00 to 12:00 (24/7) ✅ Fixed Risk/Reward at 1:2 ✅ Stop Loss set in fixed € amount ✅ Automatic risk management based on the Stop Loss On every trade: The Stop Loss is defined in fixed euros, The Take Profit is always set at twice the risk, The lot size is automatically adjusted to market conditions, ensuring clean, stable, and fully controlled risk management. 📊 Multi-year backtests are available and show truly outstanding results, with strong consistency and an excellent profit/loss ratio. 👉 A simple, mechanical strategy with no over-optimization, perfectly suited for BTC scalping with fully controlled capital management in euros.
Pine Script™ 전략
Vincent-Aina의
Keltner Hull Suite [QuantAlgo]🟢 Overview The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes. 🟢 How It Works The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness: hullMA = ta.hma(priceSource, hullPeriod) The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process: tr = ta.tr(true) smoothTR = ta.ema(tr, keltnerPeriod) doubleSmooth = ta.ema(smoothTR, keltnerPeriod) deviation = doubleSmooth * keltnerMultiplier Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation: upperBound = hullMA + deviation lowerBound = hullMA - deviation The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction: trendUp = trendLine > trendLine trendDown = trendLine < trendLine longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment. ▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration. ▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
Pine Script® 인디케이터
QuantAlgo의
10
NIFTY Weekly Option Seller DirectionalHere’s a straight description you can paste into the TradingView “Description” box and tweak if needed: --- ### NIFTY Weekly Option Seller – Regime + Score + Management (Single TF) This indicator is built for **weekly option sellers** (primarily NIFTY) who want a **structured regime + scoring framework** to decide: * Whether to trade **Iron Condor (IC)**, **Put Credit Spread (PCS)** or **Call Credit Spread (CCS)** * How strong that regime is on the current timeframe (score 0–5) * When to **DEFEND** existing positions and when to **HARVEST** profits > **Note:** This is a **single timeframe** tool. The original system uses it on **4H and 1D separately**, then combines scores manually (e.g., using `min(4H, 1D)` for conviction and lot sizing). --- ## Core logic The script classifies the market into 3 regimes: * **IC (Iron Condor)** – range/mean-reversion conditions * **PCS (Put Credit Spread)** – bullish/trend-up conditions * **CCS (Call Credit Spread)** – bearish/trend-down conditions For each regime, it builds a **0–5 score** using: * **EMA stack (8/13/34)** – trend structure * **ADX (custom DMI-based)** – trend strength vs range * **Previous-day CPR** – in CPR vs break above/below * **VWAP (session)** – near/far value * **Camarilla H3/L3** – for IC context * **RSI (14)** – used as a **brake**, not a primary signal * **Daily trend / Daily ADX** – used as **hard gates**, not double-counted as extra points Then: * Scores for PCS / CCS / IC are **cross-penalised** (they pull each other down if conflicting) * Final scores are **smoothed** (current + previous bar) to avoid jumpy signals The **background colour** shows the current regime and conviction: * Blue = IC * Green = PCS * Red = CCS * Stronger tint = higher regime score --- ## Scoring details (per timeframe) **PCS (uptrend, bullish credit spreads)** * +2 if EMA(8) > EMA(13) > EMA(34) * +1 if ADX > ADX_TREND * +1 if close > CPR High * +1 if close > VWAP * RSI brake: * If RSI < 50 → PCS capped at 2 * If RSI > 75 → PCS capped at 3 * Daily gating: * If daily EMA stack is **not** uptrend → PCS capped at 2 **CCS (downtrend, bearish credit spreads)** * +2 if EMA(8) < EMA(13) < EMA(34) * +1 if ADX > ADX_TREND * +1 if close < CPR Low * +1 if close < VWAP * RSI brake: * If RSI > 50 → CCS capped at 2 * If RSI < 25 → CCS capped at 3 * Daily gating: * If daily EMA stack is **not** downtrend → CCS capped at 2 **IC (range / mean-reversion)** * +2 if ADX < ADX_RANGE (low trend) * +1 if close inside CPR * +1 if near VWAP * +0.5 if inside Camarilla H3–L3 * +1 if daily ADX < ADX_RANGE (daily also range-like) * +0.5 if RSI between 45 and 55 (classic balance zone) * Daily gating: * If daily ADX ≥ ADX_TREND → IC capped at 2 (no “strong IC” in strong trends) **Cross-penalty & smoothing** * Each regime’s raw score is reduced by **0.5 × max(other two scores)** * Final IC / PCS / CCS scores are then **smoothed** with previous bar * Scores are always clipped to ** ** --- ## Regime selection * If one regime has the highest score → that regime is selected. * If there is a tie or close scores: * When ADX is high, trend regimes (PCS/CCS) are preferred in the direction of the EMA stack. * When ADX is low, IC is preferred. The selected regime’s score is used for: * Background colour intensity * Minimum score gate for alerts * Display in the info panel --- ## DEFEND / HARVEST / REGIME alerts The script also defines **management signals** using ATR-based buffers and Camarilla breaks: * **DEFEND** * Price moving too close to short strikes (PCS/CCS/IC) relative to ATR, or * Trend breaks through Camarilla with ADX strong → Suggests rolling away / widening / converting to reduce risk. * **HARVEST** * Price has moved far enough from your short strikes (in ATR multiples) and market is still range-compatible → Suggests booking profits / rolling closer / reducing risk. * **REGIME CHANGED** * Regime flips (IC ↔ PCS/CCS) with cooldown and minimum score gate → Suggests switching playbook (range vs trend) for new entries. Each of these has a plotshape label plus an `alertcondition()` for TradingView alerts. --- ## UI / Panel The **top-right panel** (optional) shows: * Strategy + final regime score (IC / PCS / CCS, x/5) * ADX / RSI values * CPR status (Narrow / Normal / Wide + %) * EMA Stack (Up / Down / Mixed) and EMA tightness * VWAP proximity (Near / Away) * Final **IC / PCS / CCS** scores (for this timeframe) * H3/L3, H4/L4, CPR Low/High and VWAP levels (rounded) These values are meant to be **read quickly at the decision time** (e.g. near the close of the 4H bar or daily bar). --- ## Intended workflow 1. Run the script on **4H** and **1D** charts separately. 2. For each timeframe, read the panel’s **IC / PCS / CCS scores** and regime. 3. Decide: * Final regime (IC vs PCS vs CCS) * Combined score (e.g. `AlignScore = min(Score_4H, Score_1D)`) 4. Map that combined score to **your own lot-size buckets** and trade rules. 5. During the life of the position, use **DEFEND / HARVEST / REGIME** alerts to adjust. The script does **not** auto-calculate lot size or P&L. It focuses on giving a structured, consistent **market regime + strength + levels + management** layer for weekly option selling. --- ## Disclaimer This is a discretionary **decision-support tool**, not a guarantee of profit or a replacement for risk management. No performance is implied or promised. Always size positions and manage risk according to your own capital, rules, and regulations.
Pine Script® 인디케이터
distinctSeahor20287의
IBIT premium（vs NAV）This Pine Script calculates and plots the real-time trading premium or discount of the IBIT ETF relative to its official Net Asset Value (NAV). It shows whether IBIT is trading above NAV (premium) or below NAV (discount) in percentage terms. This version is accurate because it uses TradingView’s built-in ETF NAV financial data, rather than estimating BTC per share. ⸻ Key Data Sources Used • Market Price: The script pulls the live IBIT market price from NASDAQ:IBIT. • Official NAV: It retrieves the daily Net Asset Value (NAV) using TradingView’s financial data function and expands it across all intraday timeframes so it can be compared with real-time prices. • Platform used: TradingView ⸻ How the Premium Is Calculated The script uses the standard ETF premium formula: \text{Premium (\%)} = \frac{\text{Market Price} - \text{NAV}}{\text{NAV}} \times 100 • Positive value → IBIT is trading at a premium • Negative value → IBIT is trading at a discount • Zero → IBIT is trading exactly at NAV ⸻ What the Chart Displays • A real-time premium (%) line in a separate indicator panel • A 0% reference line showing fair value • ±1% and ±2% guide lines for abnormal deviation detection • A live value label on the latest bar showing the exact current premium ⸻ Why This Script Is Accurate • Uses official ETF NAV, not a BTC-per-share estimate • NAV updates once per day, exactly as reported by the issuer • Works on all timeframes (1-minute to daily) • Shows true market mispricing, not synthetic BTC tracking error ⸻ How Traders Typically Use It • Detect temporary dislocations between IBIT price and NAV • Monitor liquidity stress during high volatility • Validate whether IBIT is trading efficiently versus BTC • Support ETF–BTC–Futures arbitrage analysis ⸻ Important Limitation • NAV is only updated once per trading day • During fast BTC moves, the premium may widen temporarily and normalize later via authorized participant (AP) arbitrage
Pine Script® 인디케이터
luzehuayali의
US Market Breadth Rhythm OscillatorThis tool is a market-breadth oscillator built on the core concepts of Fosback’s Relative Breadth , enhanced with proprietary calculations, cyclic smoothing, and adaptive rhythm-based bands. Instead of reacting to price, the oscillator measures the internal “calmness” or “loudness” of the U.S. stock market by analyzing the relative imbalance between advancing and declining issues. High oscillator readings indicate a calm, quiet internal market—a state where daily breadth fluctuations are small and orderly. These calm conditions frequently appear near market tops. Low oscillator readings reflect a loud, volatile internal market—a period with strong breadth imbalances in either direction. Such “noisy” conditions are typically associated with market lows. Usage and interpretation The oscillator also features dynamic cyclic bands that breathe with market rhythm. These shifting upper and lower bands help highlight potential turning points: A drop down through the upper band may suggest a developing market top. A rise up through the lower band may signal a positive shift in market dynamics that often precedes an upswing. Overall, this tool helps visually identify calm/top conditions, loud/bottom conditions, and possible shifts in market trend by combining enhanced Fosback breadth analysis with adaptive cyclic calculations. It can be used to visualize potential market extremes and market exhaustions on US main indices. So pick a main US stock market index as price chart and add the market breadth rhythm based on the selected market internals. However, it is not meant as swing trading system on its own. It is an oscillator which allows to identify extreme market internals which are often in alignment with major changes in trend of the price index. Examples: The top key image shows the indicator on a 2h Dow Jones Index price chart during the upswing phase from April to December 2025. The following image showcases the indicator for a longer period from 2022 to 2025 on a daily chart of the Dow Jones Index: Parameter: Select the market breadth sources that should be used for the calculation. You can choose between the following breadth sources: Dow Jones Nasdaq New York Stock Exchange Composite The Composite selection will create all 3 series and create a merged composite US Breadth Rhythm indicator as result. The arrows on the price chart visualize directly on the price chart when the indicator crosses below or above the dynamic bands. Recommended usage: Open an Dow Jones, Nasdaq, Russel 2000 or New York Stock Exchange Index. Use 1 Day, 4h or 2h timeframe. Add the indicator and choose the market breadth for oscillator readings. Note: This oscillator is calculated entirely from market breadth metrics, not from the chart’s price. You can select NASDAQ, Dow Jones, or NYSE breadth (advancers/decliners) as the internal data source.
Pine Script® 인디케이터유료 스크립트
StockMarketCycles의
1
ETH INFINITY TREND [1H]: The Institutional Anti-Crash AlgorithmSTOP TRADING AGAINST THE TREND. AUTOMATE YOUR SUCCESS. Are you tired of strategies that make big gains one month and give it all back the next? Are you looking for an algorithm capable of beating the market while strictly protecting your capital during Crashes? Discover ETH Infinity Trend , the H1 Swing Trading strategy designed for consistency, safety, and long-term performance. This is not a nervous scalping bot eaten alive by fees. It is an intelligent Trend Following system, calibrated to capture major Ethereum directional moves while staying liquid (Cash) when the market becomes dangerous. 🏆 WHY IS THIS STRATEGY UNIQUE? ✅ "Bulletproof" History (2017-2025) Unlike the market, which suffered massive losses in 2018 (-80%) and 2022 (-65%), this algorithm successfully protected capital during EVERY major bearish phase. ✅ Bull Run Outperformance The algorithm doesn't just follow; it accelerates gains during parabolic phases (like 2021 and 2025) by staying in position as long as the bullish structure remains intact. ✅ Zero Stress / Zero Overtrading The strategy is patient. It filters out market "noise" to take only high-probability moves. No more stress from holding open positions during crashes. ⚙️ THE "SMART TREND" ENGINE (Proprietary Logic) This script uses a combination of 3 algorithmic engines to secure your entries. Exact settings are protected to ensure a competitive advantage for members: Adaptive Trend Engine: Detects flow direction with a wide safety factor to avoid "scam wicks" and stop hunts typical of crypto exchanges. Institutional Long-Term Filter: We only trade in the direction of big investment funds. If the Macro trend is bearish, the algorithm forces a Cash (USDT) position to preserve capital. Dynamic Momentum Filter: The algorithm stays inactive during flat markets (Ranging) to avoid grinding down capital with fees. It only enters if the movement has genuine impulsive strength. 📊 CERTIFIED PERFORMANCE (Historical Backtests) The numbers speak for themselves. Here is how the strategy behaves under extreme market conditions: 🟢 Current Profitability (2025 YTD): +91% While the classic market (Buy & Hold) shows about +55%, the algorithm massively outperforms by avoiding intermediate corrections. 🛡️ Crash Resistance (2018 Bear Market): +29% This is the most important statistic. In 2018, Ethereum lost -82% of its value. Most traders were wiped out. This strategy not only protected capital but finished the year in profit. 💎 Zero Negative Years (2017-2025) Over a complete 8-year history, including two major market cycles, the strategy has never closed a year with a loss. 📉 RISK MANAGEMENT Profit Factor: > 2.0 (For every $1 lost, the strategy earns more than $2). Controlled Drawdown: The strategy cuts losing positions quickly using a dynamic Trailing Stop, keeping equity drawdown far below that of the market. Fees Included: All results include transaction fees (Taker) and slippage estimates. 🤖 READY FOR AUTOMATION This script is turnkey ready to be connected to bots via Webhooks (3Commas, Alertatron, or Custom Python Bot on Vultr/AWS). No Repainting: Signals are fixed at candle close. What you see is what executes. Clear Signals: Buy (Long) and Exit alerts are fully configurable. Zero Leverage Needed: The strategy is designed to be profitable on Spot or 1x Futures. 🔒 ACCESS & INVITATION This script is available via Invite Only to guarantee exclusivity and preserve signal quality. 👉 HOW TO GET ACCESS? Send me a private message here on TradingView to inquire about access conditions. Disclaimer: Past performance is not indicative of future results. Cryptocurrency trading involves risk. Only invest what you can afford to lose.
Pine Script™ 전략
LeDoc59의
2
Regime Detection Engine v2Executive Summary : A proprietary market regime classification system combining three complementary quantitative methodologies to accurately identify bullish, bearish, consolidation, and transition phases. Tripartite Architecture : Advanced statistical modeling simulating the inference of hidden states through the observation of market manifestations. It integrates emission probabilities, transition matrices, and Bayesian persistence logic. Probabilistic Engine : A statistical model inferring the hidden state of the market via three observable dimensions:t Normalized Returns Structural Volatility Volume Patterns Multi-Factor : Intelligent aggregation of seven technical dimensions into a robust consensus score, each providing a unique perspective on current market behavior. Classification of 5 Regimes : BULLISH, TRANSITION, CONSOLIDATION, TRANSITION, BEARISH Confidence Score : Each identified regime is accompanied by a confidence score (0-100%) measuring the consensus among the three drivers, allowing for exposure adjustments. More details and user guide : cryptos-linking.github.io
Pine Script® 인디케이터
Teslaurele의
Volume Profile S/R + OB/OS + BreaksAs a support resistance trader I have created this indicator that shows SR lines. RSI over bought and over sold. I also added momentum candle. It's easy to use. The arrows show over bought and over sold, that's where I start to be interested. Confirmation is if we are near a support/resistance area. shown as a red/green line. Don't just trade the RSI, Be patient and only take the perfekt setups. I't clean, it's simple it works.
Pine Script® 인디케이터
Thecantillonreport의
Relative Strength Heatmap [BackQuant]Relative Strength Heatmap A multi-horizon RSI matrix that compresses 20 different lookbacks into a single panel, turning raw momentum into a visual “pressure gauge” for overbought and oversold clustering, trend exhaustion, and breadth of participation across time horizons. What this is This indicator builds a strip-style heatmap of 20 RSIs, each with a different length, and stacks them vertically as colored tiles in a single pane. Every tile is colored by its RSI value using your chosen palette, so you can see at a glance: How many “fast” versus “slow” RSIs are overbought or oversold. Whether momentum is concentrated in the short lookbacks or spread across the whole curve. When momentum extremes cluster, signalling strong market pressure or exhaustion. On top of the tiles, the script plots two simple breadth lines: A white line that counts how many RSIs are above 70 (overbought cluster). A black line that counts how many RSIs are below 30 (oversold cluster). This turns a single symbol’s RSI ladder into a compact “market pressure gauge” that shows not only whether RSI is overbought or oversold, but how many different horizons agree at the same time. Core idea A single RSI looks at one length and one timescale. Markets, however, are driven by flows that operate on multiple horizons at once. By computing RSI over a ladder of lengths, you approximate a “term structure” of strength: Short lengths react to immediate swings and very recent impulses. Medium lengths reflect swing behaviour and local trends. Long lengths reflect structural bias and higher timeframe regime. When many lengths agree, for example 10 or more RSIs all above 70, it suggests broad participation and strong directional pressure. When only a few fast lengths stretch to extremes while longer ones stay neutral, the move is more fragile and more likely to mean-revert. This script makes that structure visible as a heatmap instead of forcing you to run many separate RSI panes. How it works 1) Generating RSI lengths You control three parameters in the calculation settings: RS Period – the base RSI length used for the shortest strip. RSI Step – the amount added to each successive RSI length. RSI Multiplier – a global scaling factor applied after the step. Each of the 20 RSIs uses: RSI length = round((base_length + step × index) × multiplier) , where the index goes from 0 to 19. That means: RSI 1 uses (len + step × 0) × mult. RSI 2 uses (len + step × 1) × mult. … RSI 20 uses (len + step × 19) × mult. You can keep the ladder dense (small step and multiplier) or stretch it across much longer horizons. 2) Heatmap layout and grouping Each RSI is plotted as an “area” strip at a fixed vertical level using histbase to stack them: RSI 1–5 form Group 1. RSI 6–10 form Group 2. RSI 11–15 form Group 3. RSI 16–20 form Group 4. Each group has a toggle: Show only Group 1 and 2 if you care mainly about fast and medium horizons. Show all groups for a full spectrum from very short to very long. Hide any group that feels redundant for your workflow. The actual numeric RSI values are not plotted as lines. Instead, each strip is drawn as a horizontal band whose fill color represents the current RSI regime. 3) Palette-based coloring Each tile’s color is driven by the RSI value and your chosen palette. The script includes several palettes: Viridis – smooth green to yellow, good for subtle reading. Jet – strong blue to red sequence with high contrast. Plasma – purple through orange to yellow. Custom Heat – cool blues to neutral grey to hot reds. Gray – grayscale from white to black for minimalistic layouts. Cividis, Inferno, Magma, Turbo, Rainbow – additional scientific and rainbow-style maps. Internally, RSI values are bucketed into ranges (for example, below 10, 10–20, …, 90–100). Each bucket maps to a unique colour for that palette. In all schemes, low RSI values are mapped to the “cold” or darker side and high RSI values to the “hot” or brighter side. The result is a true momentum heatmap: Cold or dark tiles show low RSI and oversold or compressed conditions. Mid tones show neutral or mid-range RSI. Warm or bright tiles show high RSI and overbought or stretched conditions. 4) Bull and bear breadth counts All 20 RSI values are collected into an array each bar. Two counters are then calculated: Bull count – how many RSIs are above 70. Bear count – how many RSIs are below 30. These are plotted as: A white line (“RSI > 70 Count”) for the overbought cluster. A black line (“RSI < 30 Count”) for the oversold cluster. If you enable the “Show Bull and Bear Count” option, you get an immediate reading of how many of the 20 horizons are stretched at any moment. 5) Cluster alerts and background tagging Two alert conditions monitor “strong cluster” regimes: RSI Heatmap Strong Bull – triggers when at least 10 RSIs are above 70. RSI Heatmap Strong Bear – triggers when at least 10 RSIs are below 30. When one of these conditions is true, the indicator can tint the background of the chart using a soft version of the current palette. This visually marks stretches where momentum is extreme across many lengths at once, not just on a single RSI. What it plots In one oscillator window, the indicator provides: Up to 20 horizontal RSI strips, each representing a different RSI length. Color-coded tiles reflecting the current RSI value for each length. Group toggles to show or hide each block of five RSIs. An optional white line that counts how many RSIs are above 70. An optional black line that counts how many RSIs are below 30. Optional background highlights when the number of overbought or oversold RSIs passes the strong-cluster threshold. How it measures breadth and pressure Single-symbol breadth Breadth is usually defined across a basket of symbols, such as how many stocks advance versus decline. This indicator uses the same concept across time horizons for a single symbol. The question becomes: “How many different RSI lengths are stretched in the same direction at once?” Examples: If only 2 or 3 of the shortest RSIs are above 70, bull count stays low. The move is fast and local, but not yet broadly supported. If 12 or more RSIs across short, medium and long lengths are above 70, the bull count spikes. The move has broad momentum and strong upside pressure. If 10 or more RSIs are below 30, bear count spikes and you are in a broad oversold regime. This is breadth of momentum within one market. Market pressure gauge The combination of heatmap tiles and breadth lines acts as a pressure gauge: High bull count with warm colors across most strips indicates strong upside pressure and crowded long positioning. High bear count with cold colors across most strips indicates strong downside pressure and capitulation or forced selling. Low counts with a mixed heatmap indicate neutral pressure, fragmented flows, or range-bound conditions. You can treat the strong-cluster alerts as “extreme pressure” signals. When they fire, the market is heavily skewed in one direction across many horizons. How to read the heatmap Horizontal patterns (through time) Look along the time axis and watch how the colors evolve: Persistent hot tiles across many strips show sustained bullish pressure and trend strength. Persistent cold tiles across many strips show sustained bearish pressure and weak demand. Frequent flipping between hot and cold colours indicates a choppy or mean-reverting environment. Vertical structure (across lengths at one bar) Focus on a single bar and read the column of tiles from top to bottom: Short RSIs hot, long RSIs neutral or cool: early trend or short-term fomo. Price has moved fast, longer horizons have not caught up. Short and long RSIs all hot: mature, entrenched uptrend. Broad participation, high pressure, greater risk of blow-off or late-entry vulnerability. Short RSIs cold but long RSIs mid to high: pullback in a higher timeframe uptrend. Dip-buy and continuation setups are often found here. Short RSIs high but long RSIs low: countertrend rallies within a broader downtrend. Good hunting ground for fades and short entries after a bounce. Bull and bear breadth lines Use the two lines as simple, numeric breadth indicators: A rising white line shows more RSIs pushing above 70, so bullish pressure is expanding in breadth. A rising black line shows more RSIs pushing below 30, so bearish pressure is expanding in breadth. When both lines are low and flat, few horizons are extreme and the market is in mid-range territory. Cluster zones When either count crosses the strong threshold (for example 10 out of 20 RSIs in extreme territory): A strong bull cluster marks a broadly overbought regime. Trend followers may see this as confirmation. Mean-reversion traders may see it as a late-stage or blow-off context. A strong bear cluster marks a broadly oversold regime. Downtrend traders see strong pressure, but the risk of sharp short-covering bounces also increases. Trading applications Trend confirmation Use the heatmap and breadth lines as a trend filter: Prefer long setups when the heatmap shows mostly mid to high RSIs and the bull count is rising. Avoid fresh shorts when there is a strong bull cluster, unless you are specifically trading exhaustion. Prefer short setups when the heatmap is mostly low RSIs and the bear count is rising. Avoid aggressive longs when a strong bear cluster is active, unless you are trading reflexive bounces. Mean-reversion timing Treat cluster extremes as exhaustion zones: Look for reversal patterns, failed breakouts, or order flow shifts when bull count is very high and price starts to stall or diverge. Look for reflexive bounce potential when bear count is very high and price stops making new lows or shows absorption at the lows. Use the palette and counts together: hot tiles plus a peaking white line can mark blow-off conditions, cold tiles plus a peaking black line can mark capitulation. Regime detection and risk toggling Use the overall shape of the ladder over time: If upper strips stay warm and lower strips stay neutral or warm for extended periods, the market is in an uptrend regime. You can justify higher risk for long-biased strategies. If upper strips stay cold and lower strips stay neutral or cold, the market is in a downtrend regime. You can justify higher risk for short-biased strategies or defensive positioning. If colours and counts flip frequently, you are likely in a range or choppy regime. Consider reducing size or using more tactical, short-term strategies. Multi-horizon synchronization You can think of each RSI length as a proxy for a different “speed” of the same market: When only fast RSIs are stretched, the move is local and less robust. When fast, medium and slow RSIs align, the move has multi-horizon confirmation. You can require a minimum bull or bear count before allowing your main strategy to engage. Spotting hidden shifts Sometimes price appears flat or drifting, but the heatmap quietly cools or warms: If price is sideways while many hot tiles fade toward neutral, momentum is decaying under the surface and trend risk is increasing. If price is sideways while many cold tiles climb back toward neutral, selling pressure is decaying and the tape is repairing itself. Settings overview Calculation Settings RS Period – base RSI length for the shortest strip. RSI Step – the increment added to each successive RSI length. RSI Multiplier – scales all generated RSI lengths. Calculation Source – the input series, such as close, hlc3 or others. Plotting and Coloring Settings Heatmap Color Palette – choose between Viridis, Jet, Plasma, Custom Heat, Gray, Cividis, Inferno, Magma, Turbo or Rainbow. Show Group 1 – toggles RSI 1–5. Show Group 2 – toggles RSI 6–10. Show Group 3 – toggles RSI 11–15. Show Group 4 – toggles RSI 16–20. Show Bull and Bear Count – enables or disables the two breadth lines. Alerts RSI Heatmap Strong Bull – fires when the number of RSIs above 70 reaches or exceeds the configured threshold (default 10). RSI Heatmap Strong Bear – fires when the number of RSIs below 30 reaches or exceeds the configured threshold (default 10). Tuning guidance Fast, tactical configurations Use a small base RS Period, for example 2 to 5. Use a small RSI Step, for tight clustering around the fast horizon. Keep the multiplier near 1.0 to avoid extreme long lengths. Focus on Group 1 and Group 2 for intraday and short-term trading. Swing and position configurations Use a mid-range RS Period, for example 7 to 14. Use a moderate RSI Step to fan out into slower horizons. Optionally use a multiplier slightly above 1.0. Keep all four groups enabled for a full view from fast to slow. Macro or higher timeframe configurations Use a larger base RS Period. Use a larger RSI Step so the top of the ladder reaches very slow lengths. Focus on Group 3 and Group 4 to see structural momentum. Treat clusters as regime markers rather than frequent trading signals. Notes This indicator is a contextual tool, not a standalone trading system. It does not model execution, spreads, slippage or fundamental drivers. Use it to: Understand whether momentum is narrow or broad across horizons. Confirm or filter existing signals from your primary strategy. Identify environments where the market is crowded into one side. Distinguish between isolated spikes and truly broad pressure moves. The Relative Strength Heatmap is designed to answer a simple but powerful question: “How many versions of RSI agree with what I am seeing on the chart?” By compressing those answers into a single panel with clear colour coding and breadth lines, it becomes a practical, visual gauge of momentum breadth and market pressure that you can overlay on any trading framework.
Pine Script® 인디케이터
BackQuant의
3
LPC Rebate HunterLPC Rebate Hunter Version 1.3.5 From Static to Dynamic Momentum: Replaced the rigid RSI filter with a Multi-Engine Oscillator (WaveTrend, MFI, or RSI), allowing for smoother cycle detection. From "Pivots" to "Smart Structure": The liquidity engine now detects Swing Failure Patterns (SFP)—identifying when price "pokes" a level to trap traders before reversing—and automatically cleans up mitigated zones. Choppy Market Protection: Added an ADX (Average Directional Index) integration to strictly filter out signals during flat/sideways markets. Risk Management Layer: Introduced a Smart Trailing Stop (ATR-based Chandelier Exit) to help traders manage active positions objectively. Visual Overhaul: Features a modern gradient trend cloud and a fully adaptive "Heads-Up Display" (HUD) that provides real-time market stats.
Pine Script® 인디케이터
lamphongcapital의
MA200 Deviation Percentile200-Day MA Deviation with Dynamic Thresholds OVERVIEW This indicator measures price deviation from the 200-day moving average as a percentage, with dynamically calculated overbought/oversold thresholds based on historical percentiles. Best suited for broad market indices (SPY, QQQ, IWM, etc.) where the 200-day MA serves as a reliable long-term trend indicator. Individual stocks may exhibit more erratic behavior around this level. CALCULATION Deviation (%) = (Close - 200MA) / 200MA x 100 Dynamic thresholds are derived from actual historical distribution rather than assuming normal distribution: - Overbought threshold = 97.5th percentile of historical deviations - Oversold threshold = 2.5th percentile of historical deviations SETTINGS MA Length (default: 200) Moving average period. Lookback Period (default: 1260) Historical window for threshold calculation. 1260 bars approximates 5 years of daily data. Threshold Percentile (default: 5%) Two-tailed threshold. 5% places overbought/oversold boundaries at the 97.5th and 2.5th percentiles respectively. INTERPRETATION Deviation Value - Positive: Price trading above 200MA - Negative: Price trading below 200MA - Magnitude indicates extent of deviation Percentile Ranking (0-100%) - Shows where current deviation ranks historically - Above 90%: Historically elevated - Below 10%: Historically depressed Dynamic Threshold Lines - Red line: Upper boundary based on historical distribution - Green line: Lower boundary based on historical distribution - These adapt automatically to each asset's volatility characteristics APPLICATION Mean Reversion Extreme deviations tend to normalize over time. When deviation exceeds dynamic thresholds, probability of mean reversion increases. Trend Assessment Sustained positive/negative deviation confirms trend direction. Zero-line crossovers may signal trend changes. NOTES - Optimized for daily timeframe on market indices - Requires sufficient historical data (minimum equal to lookback period) - Extreme readings do not guarantee immediate reversals - Use in conjunction with other analysis methods
Pine Script® 인디케이터
Go3x3의
V Stop MTF → STRATEGY Why this strategy works so well (your backtest proves it): FeatureBenefitMulti-timeframe Volatility StopSmarter trend detection than single TFRepainting controlYou can choose safe non-repainting modeLimbo/breach detectionAvoids whipsaws during HTF conflictsReversing systemAlways in the market → captures all trendsCandle coloring on reversalInstant visual confirmation Recommended settings that match your +17.33% result: Symbol: SP:SPX or ES1! Timeframe: 9min or 15min Heikin-Ashi HTF: "Multiple Of Current TF" × 3 → gives ~45min on 15min chart ATR Length: 20 ATR Factor: **2.0
Pine Script™ 전략
PawelMr의
ADX Breakout Enhanced Signal🥋 Trading Dojo – ADX Breakout Enhanced Signal This indicator combines the trend-strength power of the ADX with dynamic breakout-based signals, designed for traders who want more frequent and higher-probability entries on timeframes like 1 hour. The core logic focuses on: 📌 1. Trend Strength Detection with ADX The indicator evaluates whether the market is showing a strong directional trend using an optimized ADX. When ADX rises above the configured threshold, the system interprets that price has enough momentum to validate an entry. 📌 2. Breakout Entry Logic It identifies points where price breaks recent highs or lows, confirming the start or continuation of movement. This breakout-based approach produces more entries than traditional ADX strategies alone. 📌 3. Clear and Simple Signals 🟩 Long when price breaks a recent high with strong trend confirmation. 🟥 Short when price breaks a recent low with strong trend confirmation. 📌 4. Built-In Automated Alerts The indicator automatically generates JSON alerts ready for use with automation tools such as trading bots, webhooks, BingX, 3Commas, Discord bots, and more. 🎯 Purpose of the Indicator To provide more frequent, well-distributed, and momentum-validated entries, while maintaining simplicity and speed — perfect for real-time decision-making. Perfect For: Intraday trading 1h, 30m, and 15m timeframes Breakout-based strategies Automated trading systems
Pine Script® 인디케이터
Mike-Caves의