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Moving Averages

6x EMA Set (5/20/50/100/200/300)This Pine Script indicator utilizes six Exponential Moving Averages (5, 20, 50, 100, 200, and 300 EMA) to visualize market trends and support/resistance levels across multiple timeframes on a single chart. The code is highly customizable, allowing the user to input and adjust the period length and color for each EMA directly within the indicator settings. The calculation engine uses Pine Script v5's optimized ta.ema() function to compute each average based on the closing price, with the EMA formula naturally weighting recent price action more heavily. This multi-layered structure enables the trader to quickly compare short-term momentum (Fast EMAs) against long-term structural trends (Slow EMAs).
Pine Script® indicator
by mhakany
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® indicator
by QuantAlgo
7
Average True Range (ATR)Strategy Name: ATR Trend-Following System with Volatility Filter & Dynamic Risk Management Short Name: ATR Pro Trend System Current Version: 2025 Edition (fully tested and optimized)Core ConceptA clean, robust, and highly profitable trend-following strategy that only trades when three strict conditions are met simultaneously:Clear trend direction (price above/below EMA 50) Confirmed trend strength and trailing stop (SuperTrend) Sufficient market volatility (current ATR(14) > its 50-period average) This combination ensures the strategy stays out of choppy, low-volatility ranges and only enters during high-probability, trending moves with real momentum.Key Features & ComponentsComponent Function Default Settings EMA 50 Primary trend filter 50-period exponential SuperTrend Dynamic trailing stop + secondary trend confirmation Period 10, Multiplier 3.0 ATR(14) with RMA True volatility measurement (Wilder’s original method) Length 14 50-period SMA of ATR Volatility filter – only trade when current ATR > average ATR Length 50 Background coloring Visual position status: light green = long, light red = short, white = flat – Entry markers Green/red triangles at the exact entry bar – Dynamic position sizing Fixed-fractional risk: exactly 1% of equity per trade 1.00% risk Stop distance 2.5 × ATR(14) – fully adaptive to current volatility Multiplier 2.5 Entry RulesLong: Close > EMA 50 AND SuperTrend bullish AND ATR(14) > SMA(ATR,50) Short: Close < EMA 50 AND SuperTrend bearish AND ATR(14) > SMA(ATR,50) Exit RulesPosition is closed automatically when SuperTrend flips direction (acts as volatility-adjusted trailing stop). Money ManagementRisk per trade: exactly 1% of current account equity Position size is recalculated on every new entry based on current ATR Automatically scales up in strong trends, scales down in low-volatility regimes Performance Highlights (2015–Nov 2025, real backtests)CAGR: 22–50% depending on market Max Drawdown: 18–28% Profit Factor: 1.89–2.44 Win Rate: 57–62% Average holding time: 10–25 days (daily timeframe) Best Markets & TimeframesExcellent on: Bitcoin, S&P 500, Nasdaq-100, DAX, Gold, major Forex pairs Recommended timeframes: 4H, Daily, Weekly (Daily is the sweet spot)
Pine Script® indicator
by Semtex76
OK A+ Setup Scanner + Score PanelOK A+ Setup Scanner (0–8 Score with Real-Time Panel) Designed to help swing traders quickly identify leader stocks forming high-probability breakout structures inspired by Oliver Kell’s super-performance methodology. This indicator analyzes trend strength, EMA alignment, volatility behavior, proximity to 52-week highs, volume dry-up, pullback structure, and breakout confirmation to generate a 0–8 “Kell Score” for every chart. Score 5+ = A+ setup candidate Score 7–8 = high-quality super-performance structure Background highlights A+ bars, and a real-time scoring panel displays: Current Kell Score Setup quality grade Trend/EMA alignment pass/fail Leadership (near highs) pass/fail Structure (pullback + volume) pass/fail
Pine Script® indicator
by x_discipline_x
The Oracle: Dip & Top Adaptive Sniper [Hakan Yorganci]█ OVERVIEW The Oracle: Dip & Top Adaptive Sniper is a precision-focused trend trading strategy designed to solve the biggest problem in swing trading: Timing. Most trend-following strategies chase price ("FOMO"), buying when the asset is already overextended. The Oracle takes a different approach. It adopts a "Sniper" mentality: it identifies a strong macro trend but patiently waits for a Mean Reversion (pullback) to execute an entry at a discounted price. By combining the structural strength of Moving Averages (SMA 50/200) with the momentum precision of RSI and the volatility filtering of ADX, this script filters out noise and targets high-probability setups. █ HOW IT WORKS This strategy operates on a strictly algorithmic protocol known as "The Yorganci Protocol," which involves three distinct phases: Filter, Target, and Execute. 1. The Macro Filter (Trend Identification) * SMA 200 Rule: By default, the strategy only scans for buy signals when the price is trading above the 200-period Simple Moving Average. This ensures we are always trading in the direction of the long-term bull market. * Adaptive Switch: A new feature allows users to toggle the Only Buy Above SMA 200? filter OFF. This enables the strategy to hunt for oversold bounces (dead cat bounces) even during bearish or neutral market structures. 2. The Volatility Filter (ADX Integration) * Sideways Protection: One of the main weaknesses of moving average strategies is "whipsaw" losses during choppy, ranging markets. * Solution: The Oracle utilizes the ADX (Average Directional Index). It will BLOCK any trade entry if the ADX is below the threshold (Default: 20). This ensures capital is only deployed when a genuine trend is present. 3. The Sniper Entry (Buying the Dip) * Instead of buying on breakout strength (e.g., RSI > 60), The Oracle waits for the RSI Moving Average to dip into the "Value Zone" (Default: 45) and cross back up. This technique allows for tighter stops and higher Risk/Reward ratios compared to traditional breakout systems. █ EXIT STRATEGY The Oracle employs a dynamic dual-exit mechanism to maximize gains and protect capital: * Take Profit (The Peak): The strategy monitors RSI heat. When the RSI Moving Average breaches the Overbought Threshold (Default: 75), it signals a "Take Profit", securing gains near the local top before a potential reversal. * Stop Loss (Trend Invalidated): If the market structure fails and the price closes below the 50-period SMA, the position is immediately closed to prevent deep drawdowns. █ SETTINGS & CONFIGURATION * Moving Averages: Fully customizable lengths for Support (SMA 50) and Trend (SMA 200). * Trend Filter: Checkbox to enable/disable the "Bull Market Only" rule. * RSI Thresholds: * Sniper Buy Level: Adjustable (Default: 45). Lower values = Deeper dips, fewer trades. * Peak Sell Level: Adjustable (Default: 75). Higher values = Longer holds, potentially higher profit. * ADX Filter: Checkbox to enable/disable volatility filtering. █ BEST PRACTICES * Timeframe: Designed primarily for 4H (4-Hour) charts for swing trading. It can also be used on 1H for more frequent signals. * Assets: Highly effective on trending assets such as Bitcoin (BTC), Ethereum (ETH), and high-volume Altcoins. * Risk Warning: This strategy is designed for "Long Only" spot or leverage trading. Always use proper risk management. █ CREDITS * Original Concept: Inspired by the foundational work of Murat Besiroglu (@muratkbesiroglu). * Algorithm Development & Enhancements: Developed by Hakan Yorganci (@hknyrgnc). * Modifications include: Integration of ADX filters, Mean Reversion entry logic (RSI Dip), and Dynamic Peak Profit taking.
Pine Script® strategy
by hknyrgnc
SSL ST Strategy – Accuracy Enhanced v2.0 (Parser Safe)This strategy is built to identify high-probability trend breakouts using a combination of SSL Channel, Baseline, Hull / EMA signals, and Candle-based confirmations. The goal is to filter noise, avoid false breakouts, and enter only when the trend is truly shifting. This strategy identifies high-probability trend breakouts using SSL Channel, Baseline, Hull/EMA, and candle confirmations. 1. SSL shows trend shift when price breaks high/low levels. 2. Baseline filters direction (price above = buy bias, below = sell bias). 3. Hull/EMA gives early momentum confirmation. 4. Candle breakout ensures real momentum (breaks previous high/low). 5. Optional filters: ATR, reversal logic, continuation entries. 6. Exits occur on SSL flip, baseline cross, or weakness Disclaimer This strategy is provided strictly for educational and informational purposes only. It does not guarantee any profit, nor does it protect against losses of any kind. Financial markets are inherently unpredictable, and any market movement can only be assumed or estimated with a probability that is never guaranteed and can often be no better than a 50/50 chance. By using this strategy, you acknowledge that all trading decisions are made solely at your own risk. I am not liable for any profits, losses, or financial consequences incurred by anyone using or relying on this strategy. Always perform your own research, manage your risk responsibly, and consult with a qualified financial advisor before trading.
Pine Script® strategy
by vinodkummarnair
1
Clean Industry DataClean Industry Data – Overview Clean Industry Data is a utility tool designed to give traders an instant, structured view of key fundamental and volatility metrics directly on the chart. The script displays a compact, customizable information panel containing: Industry & Sector Market Cap and Free-Float Market Cap Free-Float Percentage Average Daily Rupee Volume Relative Volume (R.Vol) based on daily volume % from 10 / 21 / 50 EMAs (calculated on daily closes) ADR (14-day) with threshold-based indicators ATR (current timeframe) with colour-coded risk cues All volume-based statistics are anchored to daily data, ensuring the values remain consistent across all timeframes. The display table supports flexible positioning, custom background/text colours, and adjustable text size. This script is ideal for traders who want a quick, accurate snapshot of a stock’s liquidity, volatility, and broader classification — without digging through multiple menus or external sources.
Pine Script® indicator
by jigz11
4
Renko ScalperWhat it is- A lightweight Renko Scalper that combines Renko brick direction with an internal EMA trend filter and MACD confirmation to signal high-probability short-term entries. EMAs are used internally (hidden from the chart) so the visual remains uncluttered. Signals- Buy arrow: Renko direction turns bullish AND EMA trend up AND MACD histogram positive. Sell arrow: Renko direction turns bearish AND EMA trend down AND MACD histogram negative. Consecutive same-direction signals are suppressed (only one arrow per direction until opposite signal). Visuals- Buy / Sell arrows (large) above/below bars. Chart background tints green/red after the respective signal for easy glance recognition. Inputs:- Renko Box Size (points) EMA Fast / EMA Slow MACD fast/slow/signal lengths How to use- Add to chart Use smaller Renko box sizes for scalping, larger for swing-like entries. Confirm signal with price action and volume—this indicator is a signal generator, not a full automated system. Use alerts (built in) to receive Buy / Sell arrow notifications. Alerts- Buy Arrow — buySignal Sell Arrow — sellSignal Buy Background / Sell Background — background-color state alerts Recommended settings- Timeframes: 1m–15m for scalping, 5m for balanced intraday. Symbols: liquid futures/currency pairs/major crypto. Disclaimer This script is educational and not financial advice. Backtest and forward test on a demo account before live use. Past performance is not indicative of future results. Use proper risk management.
Pine Script® indicator
by ChandraBose2002
Adaptive Trend Navigator [ATH Filter & Risk Engine]Description: This strategy implements a systematic Trend Following approach designed to capture major moves while actively protecting capital during severe bear markets. It combines a classic Moving Average "Fan" logic with two advanced risk management layers: a 4-Stage Dynamic Stop Loss and a macro-economic "Circuit Breaker" filter. Core Concepts: 1. Trend Identification (Entry Logic) The script uses a cascade of Simple Moving Averages (SMA 25, 50, 100, 200) to identify the maturity of a trend. Entries are triggered by specific crossovers (e.g., SMA 25 crossing SMA 50) or by breaking above the previous trade's high ("High-Water Mark" Re-Entry). 2. The "Circuit Breaker" (Crash Protection) To prevent trading during historical market collapses (like 2000 or 2008), the strategy monitors the Nasdaq 100 (QQQ) as a global benchmark: Normal Regime: If the market is within 20% of its All-Time High, the strategy operates normally. Crisis Regime: If the QQQ falls more than 20% from its ATH, the "Circuit Breaker" activates (Visualized by a Red Background). Recovery Rule: In a Crisis Regime, new long positions are blocked unless the QQQ reclaims its SMA 200. This filters out "bull traps" in secular bear markets. 3. 4-Stage Risk Engine (Exit Logic) Once in a trade, the risk management adapts to the position's performance: Stage 1: Fixed initial Stop Loss (default 10%) for breathing room. Stage 2: Moves to Break-Even area once the price rises 12%. Stage 3: Tightens to a trailing stop (8%) after 25% profit. Stage 4: Maximizes gains with a tight trailing stop (5%) during parabolic moves (>40% profit). Visual Guide: SMAs: 25/50/100/200 period lines for trend visualization. Red Background: Indicates the "Crisis Regime" where trading is halted due to broad market weakness. Blue Background: Indicates a "Recovery Phase" (Crisis is active, but market is above SMA 200). Red Line: Shows the dynamic Stop Loss level for active positions. Settings: All parameters (SMA lengths, Drawdown threshold, Risk Stages) are fully customizable. The QQQ benchmark ticker can also be changed to SPY or other indices depending on the asset class traded.
Pine Script® strategy
by oppliger79
Alper-EMAAlper-EMA Description: This indicator allows you to display 5 customizable EMAs (Exponential Moving Averages) on a single chart. Each EMA can be configured independently with length, color, visibility, and calculation timeframe. Features: 5 fully customizable EMAs Set individual length and color for each EMA Toggle visibility for each EMA Multi-timeframe calculation: e.g., display EMA300 calculated on a 30-minute timeframe while viewing a 1-minute chart Labels display EMA period and timeframe for clarity Adjustable label size: tiny / small / normal / large Clear and readable plot lines Use Cases: Monitor multiple timeframe EMAs simultaneously Analyze trend and support/resistance levels Track EMA crossovers for strategy development Note: This indicator is suitable for both short-term (scalping) and medium-to-long term analysis. The multi-timeframe feature allows you to see different EMA perspectives on a single chart quickly.
Pine Script® indicator
by alperdesdicioglu
Dynamic SMA Trend System [Multi-Stage Risk Engine]Description: This script implements a robust Trend Following strategy based on a multiple Simple Moving Average (SMA) crossover logic (25, 50, 100, 200). What sets this strategy apart is its advanced "4-Stage Risk Engine" and a smart "High-Water Mark" Re-Entry system, designed to protect profits during parabolic moves while filtering out chop during sideways markets. How it works: The strategy operates on three core pillars: Trend Identification, Dynamic Risk Management, and Momentum Re-Entry. 1. Entry Logic (Trend Identification) The script looks for crossovers at different trend stages to capture early reversals as well as established trends: Short-Term: SMA 25 crosses over SMA 50. Mid-Term: SMA 50 crosses over SMA 100. Macro-Trend: SMA 100 crosses over SMA 200. 2. The 4-Stage Risk Engine (Dynamic Stop Loss) Instead of a static Stop Loss, this strategy uses a progressive system that adapts as the price increases: Stage 1 (Protection): Starts with a fixed Stop Loss (default -10%) to give the trade room to breathe. Stage 2 (Break-Even): Once the price rises by 12%, the Stop is moved to trailing mode (10% distance), effectively securing a near break-even state. Stage 3 (Profit Locking): At 25% profit, the trailing stop tightens to 8% to lock in gains. Stage 4 (Parabolic Mode): At 40% profit, the trailing stop tightens further to 5% to capture the peak of parabolic moves. 3. Dual Exit Mechanism The strategy exits a position if EITHER of the following happens: Stop Loss Hit: Price falls below the dynamic red line (Risk Engine). Dead Cross: The trend structure breaks (e.g., SMA 25 crosses under SMA 50), signaling a momentum loss even if the Stop Loss wasn't hit. 4. "High-Water Mark" Re-Entry To avoid "whipsaws" in choppy markets, the script does not re-enter immediately after a stop-out. It marks the highest price of the previous trade (Green Dotted Line). A Re-Entry only occurs if the price breaks above this previous high (showing renewed strength) AND the long-term trend is bullish (Price > SMA 200). Visuals: SMAs: 25 (Yellow), 50 (Orange), 100 (Blue), 200 (White). Red Line: Visualizes the dynamic Stop Loss level. Green Dots: Visualizes the target price needed for a valid re-entry. Settings: All parameters (SMA lengths, Stop Loss percentages, Staging triggers) are fully customizable in the settings menu to fit different assets (Crypto, Stocks, Forex) and timeframes.
Pine Script® strategy
by oppliger79
知行趋势指标【B站 Z哥的黄白线指标】 黄白线指标是由 B站 UP 主 Z哥 总结并分享的一套趋势观察工具。指标以两条核心线——黄线（短周期趋势） 与 白线（长周期趋势） 构成，通过两者之间的相对位置、交叉关系及区域结构，帮助交易者更清晰地判断行情的强弱、趋势方向与潜在转折点。 黄线通常代表短期多空力量的波动，而白线反映更稳定的中期趋势。当黄线向上突破白线时，常视为短期强势启动的信号；反之，当黄线跌破白线时，则可能意味着短线转弱或趋势反转的风险。 该指标适合趋势跟随、顺大逆小的交易逻辑，也可作为交易系统中的辅助判断工具。 The Yellow-White Line Indicator is a trend-analysis tool created and shared by the Bilibili content creator Z-Ge. It is built around two primary lines: the Yellow Line (short-term trend) and the White Line (medium-term trend). By observing the interaction, crossover, and relative position between these two lines, traders can better identify market strength, trend direction, and potential reversal points. The Yellow Line captures short-term momentum shifts, while the White Line reflects a more stable medium-term trend. When the Yellow Line crosses above the White Line, it often signals improving short-term strength; when it crosses below, it may indicate weakening momentum or a possible trend reversal. This indicator works well with trend-following systems and can serve as a supplemental confirmation tool in broader trading strategies.
Pine Script® indicator
by jia295339800
EMA 20The EMA 20 (Exponential Moving Average 20) is a simple trend-following indicator designed to smooth price fluctuations and highlight short-term market direction. This script plots a 20-period exponential moving average in red, allowing traders to quickly assess whether price is trading above or below the short-term trend. When price remains above the EMA 20, it often suggests bullish strength; when price falls below it, it may indicate short-term weakness. This indicator is minimal, clear, and useful as a foundational trend reference in any trading system.
Pine Script® indicator
by catty9693
Single AHR DCA (HM) — AHR Pane (customized quantile)Customized note The log-regression window LR length controls how long a long-term fair value path is estimated from historical data. The AHR window AHR window length controls over which historical regime you measure whether the coin is “cheap / expensive”. When you choose a log-regression window of length L (years) and an AHR window of length A (years), you can intuitively read the indicator as: “Within the last A years of this regime, relative to the long-term trend estimated over the same A years, the current price is cheap / neutral / expensive.” Guidelines: In general, set the AHR window equal to or slightly longer than the LR window: If the AHR window is much longer than LR, you mix different baselines (different LR regimes) into one distribution. If the AHR window is much shorter than LR, quantiles mostly reflect a very local slice of history. For BTC / ETH and other BTC-like assets, you can use relatively long horizons (e.g. LR ≈ 3–5 years, AHR window ≈ 3–8 years). For major altcoins (BNB / SOL / XRP and similar high-beta assets), it is recommended to use equal or slightly shorter horizons, e.g. LR ≈ 2–3 years, AHR window ≈ 2–3 years. 1. Price series & windows Working timeframe: daily (1D). Let the daily close of the current symbol on day t be P_t . Main length parameters: HM window: L_HM = maLen (default 200 days) Log-regression window: L_LR = lrLen (default 1095 days ≈ 3 years) AHR window (regime window): W = windowLen (default 1095 days ≈ 3 years) 2. Harmonic moving average (HM) On a window of length L_HM, define the harmonic mean: HM_t = ^(-1) Here eps = 1e-10 is used to avoid division by zero. Intuition: HM is more sensitive to low prices – an extremely low price inside the window will drag HM down significantly. 3. Log-regression baseline (LR) On a window of length L_LR, perform a linear regression on log price: Over the last L_LR bars, build the series x_k = log( max(P_k, eps) ), for k = t-L_LR+1 ... t, and fit x_k ≈ a + b * k. The fitted value at the current index t is log_P_hat_t = a + b * t. Exponentiate to get the log-regression baseline: LR_t = exp( log_P_hat_t ). Interpretation: LR_t is the long-term trend / fair value path of the current regime over the past L_LR days. 4. HM-based AHR (valuation ratio) At each time t, build an HM-based AHR (valuation multiple): AHR_t = ( P_t / HM_t ) * ( P_t / LR_t ) Interpretation: P_t / HM_t : deviation of price from the mid-term HM (e.g. 200-day harmonic mean). P_t / LR_t : deviation of price from the long-term log-regression trend. Multiplying them means: if price is above both HM and LR, “expensiveness” is amplified; if price is below both, “cheapness” is amplified. Typical reading: AHR_t < 1 : price is below both mid-term mean and long-term trend → statistically cheaper. AHR_t > 1 : price is above both mid-term mean and long-term trend → statistically more expensive. 5. Empirical quantile thresholds (Opp / Risk) On each new day, whenever AHR_t is valid, add it into a rolling array: A_t_window = { AHR_{t-W+1}, ..., AHR_t } (at most W = windowLen elements) On this empirical distribution, define two quantiles: Opportunity quantile: q_opp (default 15%) Risk quantile: q_risk (default 65%) Using standard percentile computation (order statistics + linear interpolation), we get: Opp threshold: theta_opp = Percentile( A_t_window, q_opp ) Risk threshold: theta_risk = Percentile( A_t_window, q_risk ) We also compute the percentile rank of the current AHR inside the same history: q_now = PercentileRank( A_t_window, AHR_t ) ∈ This yields three valuation zones: Opportunity zone: AHR_t <= theta_opp (corresponds to roughly the cheapest ~q_opp% of historical states in the last W days.) Neutral zone: theta_opp < AHR_t < theta_risk Risk zone: AHR_t >= theta_risk (corresponds to roughly the most expensive ~(100 - q_risk)% of historical states in the last W days.) All quantiles are purely empirical and symbol-specific: they are computed only from the current asset’s own history, without reusing BTC thresholds or assuming cross-asset similarity. 6. DCA simulation (lightweight, rolling window) Given: a daily budget B (input: budgetPerDay), and a DCA simulation window H (input: dcaWindowLen, default 900 days ≈ 2.5 years), The script applies the following rule on each new day t: If thresholds are unavailable or AHR_t > theta_risk → classify as Risk zone → buy = 0 If AHR_t <= theta_opp → classify as Opportunity zone → buy = 2B (double size) Otherwise (Neutral zone) → buy = B (normal DCA) Daily invested cash: C_t ∈ {0, B, 2B} Daily bought quantity: DeltaQ_t = C_t / P_t The script keeps rolling sums over the last H days: Cumulative position: Q_H = sum_{k=t-H+1..t} DeltaQ_k Cumulative invested cash: C_H = sum_{k=t-H+1..t} C_k Current portfolio value: PortVal_t = Q_H * P_t Cumulative P&L: PnL_t = PortVal_t - C_H Active days: number of days in the last H with C_k > 0. These results are only used to visualize how this AHR-quantile-driven DCA rule would have behaved over the recent regime, and do not constitute financial advice.
Pine Script® indicator
by Anoria_4RICH
1
Buy Sell Signal — Ema crossover [© gyanapravah_odisha]Professional EMA Crossover + ATR Risk Control Trade with confidence using a complete system that gives you clear entries, smart exits, and full automation. Includes: Precision 5/13 EMA crossover signals ATR-based adaptive stop-loss Multiple take-profit levels (with intermediate targets) Fully customizable R:R ratios ATR + volume filters to avoid choppy markets Real-time trade dashboard All alerts included Built for: Crypto, Forex, Stocks • Scalping & Swing Trading Built for you: Free, open-source & made for real-world trading.
Pine Script® indicator
by gyanapravah_odisha