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Oversold

Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings. Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters: - K Period = 21 – smoother reaction, better suited for BTC’s macro cycles - D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness - Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal ✅ Smart Signal Logic: Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws. Visual Enhancements: - Thick lines when %K/%D are in overbought/oversold zones - Green/red background highlights on valid signals - Optional up/down arrows for clear entry visualization - Customizable colors, line widths, and transparency 🔒 No alerts included – clean, focused on price action and momentum. 💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves. Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones. перевод на русский Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина. В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры: - Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC - Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость - Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота ✅ Интеллектуальная логика сигналов: Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов». Улучшенная визуализация: - Жирные линии, когда %K/%D находятся в экстремальных зонах - Зелёный/красный фон при появлении сигналов - Опциональные стрелки для чёткого отображения точек входа - Настройка цветов, толщины линий и прозрачности 🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе. 💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений. На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
อินดิเคเตอร์ Pine Script®
โดย indexrate
BTC Risk Metric DCA Adapter (3Commas Webhook Strategy)Risk Metric DCA Adapter (3Commas Webhook Strategy) - WORK IN PROGRESS This Pine Script strategy, originally inspired by the Risk Metric Indicator, is fundamentally engineered as an Adapter to interface with external trading bots like 3Commas via Webhooks. It calculates a dynamic market risk score and translates that score into specific dollar-cost averaging (DCA) entry levels and tiered profit-taking exits. Key Features & Logic Risk Metric Calculation (Credit to The Trading Parrot): The strategy incorporates a complex, multi-timeframe Risk Metric calculation based on daily and weekly moving averages (SMA) and standard deviation (StDev). This metric aims to quantify the current market overextension or compression relative to long-term historical data. The resulting score dictates the level of conviction for a new trade. Tiered DCA Entry Sizing: The strategy defines three distinct Buy Levels (L1, L2, L3) corresponding to increasingly favorable (lower) Risk Metric scores. L1 (Base): Risk is moderate, initiating the minimum defined trade amount. L2 (Scaled): Risk is low, initiating L1 amount + L2 amount. L3 (Aggressive): Risk is very low, initiating L1 + L2 + L3 amounts. Tiered Profit-Taking Exits: The strategy implements a staggered, partial profit-taking approach based on the Risk Metric rising: Sell L1 & L2: Closes a percentage of the current position when the Risk Metric reaches defined high thresholds, locking in partial profits. Sell L3 (Full Exit): Closes the remaining position when the Risk Metric reaches the highest defined threshold. The Adapter Function (Webhook Integration) This script is unique because it uses the Pine Script strategy() function to trigger Order Fills, which are necessary to access powerful placeholders in the TradingView alert system. Trigger Type: The alert must be set to trigger on Any order fill. Dynamic Webhook Data: Instead of using fixed alert() commands, the strategy generates dynamic labels (e.g., BUY_ENTRY_L3_USD_1000 or SELL_L1_PCT_25) using the strategy.entry and strategy.close commands. Data Transfer: The alert message then uses the placeholder {{strategy.order.comment}} to pass these dynamic labels to the 3Commas bot, allowing the bot to execute the precise action (e.g., start_deal_with_volume_in_quote_currency or close_deal_at_market_percentage). Full Strategy Webhook payload { "secret": "YOUR_3COMMAS_SECRET_KEY", "max_lag": "300", "timestamp": "{{timenow}}", "trigger_price": "{{close}}", "tv_exchange": "{{exchange}}", "tv_instrument": "{{ticker}}", "action": "{{strategy.order.action}}", "bot_uuid": "YOUR_BOT_UUID", "strategy_info": { "market_position": "{{strategy.market_position}}", "market_position_size": "{{strategy.market_position_size}}", "prev_market_position": "{{strategy.prev_market_position}}", "prev_market_position_size": "{{strategy.prev_market_position_size}}" }, "order": { "amount": "{{strategy.order.contracts}}", "currency_type": "base", "comment": "{{strategy.order.comment}}" } } Disclaimer: This script is an adapter tool and does not guarantee profit. Trading requires manual configuration of risk settings, bot parameters, and adherence to platform-specific setup instructions.
กลยุทธ์ Pine Script®
โดย nakphanan
1
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator? The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K. Stochastic helps identify: Overbought and oversold conditions Bullish and bearish crossovers Momentum shifts before price reversals It is widely used in both trending and ranging markets. 💡 What Makes This Suite Different? This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including: ✅ Core Features: - Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality. - Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20). - %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram. - Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas). 🔍 Divergence Detection (Optional): - Bullish Divergence: Price makes lower lows while %K makes higher lows. - Bearish Divergence: Price makes higher highs while %K makes lower highs. - Customizable pivot lookbacks and range filters to control divergence strictness. - Visual divergence labels plotted directly on the oscillator. 🎛️ Fully Toggleable Visuals: Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes. 🔔 Alerts: Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies. ⚙️ Use Cases - Spot exhaustion in overbought/oversold zones - Confirm or filter entries with divergence signals - Monitor multiple timeframes without switching charts - Use as a signal tool in confluence with price action or volume indicators ⚠️ Disclaimer This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
อินดิเคเตอร์ Pine Script®
โดย RWCS_LTD
OverBought & OverSold [SwissAlgo]OverBought & OverSold Statistical analysis of momentum extremes ---------------------------------------------------------- Purpose This indicator was built to answer three questions: Is the current price move statistically extreme? - By comparing current momentum to historical distribution What is the current market regime? - By combining trend position and momentum direction Is momentum accelerating or decelerating? - By analyzing weekly momentum shifts ---------------------------------------------------------- What You Can Do With This Indicator Identify Statistical Extremes See when price momentum seems to have reached levels that historically preceded reversals Compare the current Rate of Change to its historical mean and standard deviation Spot when readings exceed ±1σ, ±2σ, or higher thresholds Monitor Market Regime/State Track whether the market seems to be in BULL, WEAK BULL, BEAR, or WEAK BEAR state Observe potential transitions between regimes as they occur Understand the relationship between price position and momentum Assess Momentum Quality Distinguish between potentially accelerating momentum (lime/red bars) and decelerating momentum (green/maroon bars) Watch for possible momentum deterioration within established trends Track weekly momentum patterns that filter out daily noise Measure Distance from Trend Monitor how far the price is from its long-term moving average (EMA 350) Identify when price approaches trend support/resistance Contextualize current position relative to historical distance patterns ---------------------------------------------------------- Overview This indicator calculates a volume-weighted Rate of Change (ROC) and displays it with statistical Z-Score bands. It combines ROC analysis with market regime detection using weekly MACD and EMA positioning. Key Features Volume-weighted ROC calculation with 5-bar smoothing Dynamic Z-Score bands (±0.5σ to ±6σ) Four-state market regime classification Weekly Stochastic RSI-based histogram coloring Visual markers for extreme readings Information table with current statistics Calculations Volume-Weighted ROC The indicator compares two 5-bar volume-weighted average prices separated by the ROC Length period: Recent VWAP = Σ(Price × Volume) / Σ(Volume) for last 5 bars Past VWAP = Σ(Price × Volume) / Σ(Volume) for 5 bars at lookback ROC = ((Recent VWAP - Past VWAP) / Past VWAP) × 100 Default ROC Length: 30 periods Why volume-weighted: Single price points can be affected by temporary spikes Volume weighting emphasizes legitimate price moves 5-bar averaging reduces single-bar noise Z-Score Bands The indicator maintains separate statistical distributions for positive and negative ROC values: For positive ROC values: Calculates mean and standard deviation of all positive ROC readings Plots bands at +0.5σ, +1σ, +2σ, +3σ, +4σ, +5σ, +6σ above the mean For negative ROC values: Calculates mean and standard deviation of all negative ROC readings Plots bands at -0.5σ, -1σ, -2σ, -3σ, -4σ, -5σ, -6σ below the mean Z-Score formula: If ROC > 0: Z = (ROC - Positive Mean) / Positive Std Dev If ROC < 0: Z = (ROC - Negative Mean) / Negative Std Dev Why separate distributions: Upward and downward momentum often have different statistical properties Separate analysis provides more accurate extreme identification Each side maintains its own mean and volatility characteristics The ±1σ bands use thicker lines (linewidth=2) as these levels are most frequently tested. Market Regime States Four states based on weekly MACD (10, 24, 8) and EMA 350: BULL Conditions: Price > EMA 350, Weekly MACD > 0, MACD > Signal, ROC histogram lime Background: Lime (85% transparency) Interpretation: Price above long-term trend with accelerating momentum WEAK BULL Conditions: Price > EMA 350 AND (MACD < Signal OR ROC histogram green) Background: Green (95% transparency) Interpretation: Price above trend, but momentum seems to be decelerating BEAR Conditions: Price < EMA 350, Weekly MACD < 0, MACD < Signal, ROC histogram red Background: Red (85% transparency) Interpretation: Price below long-term trend with accelerating downward momentum WEAK BEAR Conditions: Price < EMA 350 AND (MACD > Signal OR ROC histogram maroon) Background: Maroon (95% transparency) Interpretation: Price below trend, but downward momentum seems to be decelerating NEUTRAL Conditions: None of the above met Background: Gray (95% transparency) Interpretation: Transitional state between regimes Why weekly MACD: Filters daily volatility and noise Provides more stable regime classification Reduces false regime switches Histogram Colors Colors determined by Weekly Stochastic RSI (14, 14, 3, 3): Lime: ROC > 0 and K > D (rising positive momentum) Green: ROC > 0 and K < D (falling positive momentum) Red: ROC < 0 and K < D (falling negative momentum) Maroon: ROC < 0 and K > D (rising negative momentum) Why weekly Stochastic RSI: Shows momentum direction independent of absolute level Weekly timeframe provides stable readings K/D crossover indicates momentum shifts Visual Markers Red arrows (↓): Display when ROC ≥ +1σ (overbought zone) Lime arrows (↑): Display when ROC ≤ -0.5σ (oversold zone) These markers highlight when readings reach statistical extremes. Information Table Located at the top-right, displays four rows: Row 1 - Market State Shows current regime text (BULL/WEAK BULL/BEAR/WEAK BEAR/NEUTRAL) Color matches regime state Row 2 - Current Z-Score Shows Z-Score value with 2 decimal places Lime when Z ≤ -0.5 (statistically oversold) Red when Z ≥ +1 (statistically overbought) White for values between -0.5 and +1 (normal range) Adds bullet (●) for extreme values Row 3 - Price ROC % Shows current ROC percentage Lime when positive Red when negative Row 4 - Distance % EMA Shows percentage distance from EMA 350 Calculates Z-score of distance Red with ● when close to EMA in bull market (|Z| < 0.5) Lime with ● when close to EMA in bear market (|Z| < 0.5) Standard colors otherwise (lime when above EMA, red when below) Why distance matters: A price approaching EMA 350 in a bull market can signal a support test Price near EMA 350 in a bear market can signal a resistance test Z-score of distance shows if the current proximity is statistically unusual ---------------------------------------------------------- Settings ROC Length (Integer, default: 30, minimum: 1) Number of periods for ROC lookback Higher values = slower response, smoother Lower values = faster response, more sensitive Source (Source, default: close) Price data input for calculations Can use close, open, high, low, hl2, hlc3, ohlc4 Show Info Table (Boolean, default: true) Toggle table visibility ---------------------------------------------------------- Technical Details Uses lookahead=barmerge.lookahead_off for all request.security() calls Accumulates all historical ROC values in arrays for Z-Score calculation Weekly timeframe data retrieved via request.security() on "1W" resolution EMA length hardcoded to 350 periods All plots use Pine Script v6 syntax Data Requirements Minimum bars required: ROC Length + 5 bars Works on any timeframe Applicable to any instrument with volume data Historical data used: All available bars on the chart Display Elements Plots: ROC histogram (plotcandle format) Zero line (horizontal line) 14 standard deviation lines (7 positive, 7 negative) 13 filled regions between bands 14 sigma labels (displayed on last bar only) Extreme zone markers (arrows) Color Scheme: Positive bands: Lime with varying transparency Negative bands: Red with varying transparency Fills: Green (positive) and Red (negative) with high transparency Bands beyond 3σ use increased transparency (85%, 90%, 93%) Visual Hierarchy ±1σ bands: Thicker lines (most important levels) ±0.5σ to ±3σ: Standard visibility ±4σ to ±6σ: Faded (visible only during extreme events) Notes This is an oscillator-type indicator (overlay=false) Displays in a separate pane below the price chart Does not generate automatic buy/sell signals Does not include alert conditions Does not repaint (all calculations use confirmed data) Limitations Requires sufficient historical data for meaningful statistics Z-Score bands recalculate as new data accumulates Market regime requires weekly MACD calculation (may show neutral on insufficient data) Volume-weighting requires volume data availability EMA 350 is fixed (not adjustable via inputs) Statistical extremes do not guarantee reversals Past distribution patterns do not predict future behavior ---------------------------------------------------------- Disclaimer Educational Purpose Only This indicator is provided for educational and informational purposes only. It is a technical analysis tool that displays statistical calculations and historical data patterns. Not Financial Advice This indicator does not provide financial, investment, trading, or any other type of professional advice. All content and calculations are for informational purposes only and should not be construed as a recommendation to buy, sell, or hold any security or financial instrument. No Guarantee of Results Past performance and historical statistical patterns do not guarantee future results. Markets are inherently unpredictable, and statistical analysis cannot predict future price movements with certainty. The appearance of statistical extremes does not ensure that reversals will occur. User Responsibility Users of this indicator are solely responsible for their own trading and investment decisions. You should conduct your own research and due diligence and consult with qualified financial professionals before making any investment decisions. Risk Warning Trading and investing in financial markets involves substantial risk of loss. You should only trade with capital you can afford to lose. The use of technical indicators does not eliminate market risk. No Warranty This indicator is provided "as is" without warranty of any kind, either expressed or implied, including but not limited to warranties of accuracy, reliability, or fitness for a particular purpose. The author makes no guarantees regarding the accuracy of calculations or the absence of errors. Limitation of Liability The author and publisher of this indicator shall not be held liable for any losses, damages, or claims arising from the use or inability to use this indicator, including but not limited to trading losses, lost profits, or any other financial losses. Data Accuracy While efforts have been made to ensure calculation accuracy, users should independently verify all outputs. The indicator relies on data provided by TradingView, and the author is not responsible for data feed errors or interruptions. User Agreement By using this indicator, you acknowledge that you have read, understood, and agree to this disclaimer. If you do not agree with any part of this disclaimer, you should not use this indicator.
อินดิเคเตอร์ Pine Script®
โดย SwissAlgo
Tristan's Tri-band StrategyTristan's Tri-band Strategy - Confluence Trading System Strategy Overview: This strategy combines three powerful technical indicators - RSI, Williams %R, and Bollinger Bands - into a single visual trading system. Instead of cluttering your chart with separate indicator panels, all signals are displayed directly on the price chart using color-coded gradient overlays, making it easy to spot high-probability trade setups at a glance. How It Works: The strategy identifies trading opportunities when multiple indicators align (confluence), suggesting strong momentum shifts: 📈 Long Entry Signals: RSI drops to 30 or below (oversold) Williams %R reaches -80 to -100 range (oversold) Price touches or breaks below the lower Bollinger Band All three conditions must align during your selected trading session 📉 Short Entry Signals: RSI rises to 70 or above (overbought) Williams %R reaches 0 to -20 range (overbought) Price touches or breaks above the upper Bollinger Band All three conditions must align during your selected trading session Visual Indicators: (faint) Green gradients below candles = Bullish oversold conditions (buying opportunity) (faint) Red/Orange gradients above candles = Bearish overbought conditions (selling opportunity) Stacked/brighter gradients = Multiple indicators confirming the same signal (higher probability) will stack and show brighter / less faint Blue Bollinger Bands = Volatility boundaries and mean reversion zones Exit Strategy: Long trades exit when price reaches the upper Bollinger Band OR RSI becomes overbought (≥70) Short trades exit when price reaches the lower Bollinger Band OR RSI becomes oversold (≤30) Key Features: ✅ Session Filters - Trade only during NY (9:30 AM-4 PM), London (3 AM-11:30 AM), or Asia (7 PM-1 AM EST) sessions ✅ No Repainting - Signals are confirmed on candle close for realistic backtesting and live trading ✅ Customizable Parameters - Adjust RSI levels, BB standard deviations, Williams %R periods, and gradient visibility ✅ Visual Clarity - See all three indicators at once without switching between panels ✅ Built-in Alerts - Get notified when entry and exit conditions are met How to Use Effectively: Choose Your Trading Session - For day trading US stocks, enable only the NY session. For forex or 24-hour markets, select the sessions that match your schedule. Look for Gradient Stacking - The brightest, most visible gradients occur when both RSI and Williams %R signal together. These are your highest-probability setups. Confirm with Price Action - Wait for the candle to close before entering. The strategy enters on the next bar's open to prevent repainting. Respect the Bollinger Bands - Entries occur at the outer bands (price extremes), and exits occur at the opposite band or when momentum reverses. Backtest First - Test the strategy on your preferred instruments and timeframes. Works best on liquid assets with clear trends and mean reversion patterns (stocks, major forex pairs, indices). Adjust Gradient Visibility - Use the "Gradient Strength" slider (lower = more visible) to make signals stand out on your chart style. Best Timeframes: 5-minute to 1-hour charts for intraday trading; 4-hour to daily for swing trading (I have also found the 3 hour timeframe to work really well for some stocks / ETFs.) Best Markets: Liquid instruments with volatility - SPY, QQQ, major stocks, EUR/USD, GBP/USD, major indices Risk Management: This is a mean reversion strategy that works best in ranging or choppy markets. In strong trends, signals may appear less frequently. Always use proper position sizing and stop losses based on your risk tolerance. ---------------------------------------------- Note: Past performance does not guarantee future results. This strategy is provided for educational purposes. Always backtest thoroughly and practice proper risk management before live trading.RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
กลยุทธ์ Pine Script®
โดย OhRayOhRay
Percentile Rank Oscillator (Price + VWMA)A statistical oscillator designed to identify potential market turning points using percentile-based price analytics and volume-weighted confirmation. What is PRO? Percentile Rank Oscillator measures how extreme current price behavior is relative to its own recent history. It calculates a rolling percentile rank of price midpoints and VWMA deviation (volume-weighted price drift). When price reaches historically rare levels – high or low percentiles – it may signal exhaustion and potential reversal conditions. How it works Takes midpoint of each candle ((H+L)/2) Ranks the current value vs previous N bars using rolling percentile rank Maps percentile to a normalized oscillator scale (-1..+1 or 0–100) Optionally evaluates VWMA deviation percentile for volume-confirmed signals Highlights extreme conditions and confluence zones Why percentile rank? Median-based percentiles ignore outliers and read the market statistically – not by fixed thresholds. Instead of guessing “overbought/oversold” values, the indicator adapts to current volatility and structure. Key features Rolling percentile rank of price action Optional VWMA-based percentile confirmation Adaptive, noise-robust structure User-selectable thresholds (default 95/5) Confluence highlighting for price + VWMA extremes Optional smoothing (RMA) Visual extreme zone fills for rapid signal recognition How to use High percentile values –> statistically extreme upward deviation (potential top) Low percentile values –> statistically extreme downward deviation (potential bottom) Price + VWMA confluence strengthens reversal context Best used as part of a broader trading framework (market structure, order flow, etc.) Tip: Look for percentile spikes at key HTF levels, after extended moves, or where liquidity sweeps occur. Strong moves into rare percentile territory may precede mean reversion. Suggested settings Default length: 100 bars Thresholds: 95 / 5 Smoothing: 1–3 (optional) Important note This tool does not predict direction or guarantee outcomes. It provides statistical context for price extremes to help traders frame probability and timing. Always combine with sound risk management and other tools.
อินดิเคเตอร์ Pine Script®
โดย exploretranspose
Overbought & Oversold by Vito_290📘 OB/OS Candle Color – Confluence + Volume (v6) This indicator colors candles based on the confluence of overbought (green) and oversold (red) conditions, combining technical signals from price and volume to provide reliable, uncluttered visual readings. 🔹 What It Measures RSI → classic strength/weakness extremes. Stochastic %K → short-term oscillations. Bollinger %B + Price Z-Score → statistical deviations from the mean. MFI, CMF, Volume Z-Score, OBV Z-Score → intensity and direction of capital flow. 🔹 How It Works Each metric produces an overbought or oversold signal. The indicator counts how many conditions are simultaneously true. If the count exceeds the user-defined threshold (Min Conditions), the candle is colored: Green → Overbought Red → Oversold An optional EMA-based trend filter avoids counter-trend signals. 🔹 Why It’s Useful A single RSI or isolated volume spike can be misleading. This tool filters market noise by combining eight independent signals, giving a much stronger confirmation of market extremes. 🔹 Recommended Timeframes Optimized for 15m, 30m, 1h, 4h, and 1D charts. Adjust Min Conditions depending on timeframe: 15–30m → 4–5 1h → 3–4 4h–1D → 3 🔹 Usage Tips In trend-following strategies → keep the EMA filter ON. In mean-reversion setups → turn the filter OFF to catch short-term reversals. Give more weight to signals with extreme volume spikes and price beyond Bollinger Bands. This is not an automatic trading system, but a visual trigger to help identify overextended zones and improve entry/exit timing.
อินดิเคเตอร์ Pine Script®
โดย Vito290
overbought & oversoldOverbought & Oversold 📘 OB/OS Candle Color – Confluence + Volume (v6) This indicator colors candles based on the confluence of overbought (green) and oversold (red) conditions, combining technical signals from price and volume to provide reliable, uncluttered visual readings. 🔹 What It Measures RSI → classic strength/weakness extremes. Stochastic %K → short-term oscillations. Bollinger %B + Price Z-Score → statistical deviations from the mean. MFI, CMF, Volume Z-Score, OBV Z-Score → intensity and direction of capital flow. 🔹 How It Works Each metric produces an overbought or oversold signal. The indicator counts how many conditions are simultaneously true. If the count exceeds the user-defined threshold (Min Conditions), the candle is colored: Green → Overbought Red → Oversold An optional EMA-based trend filter avoids counter-trend signals. 🔹 Why It’s Useful A single RSI or isolated volume spike can be misleading. This tool filters market noise by combining eight independent signals, giving a much stronger confirmation of market extremes. 🔹 Recommended Timeframes Optimized for 15m, 30m, 1h, 4h, and 1D charts. Adjust Min Conditions depending on timeframe: 15–30m → 4–5 1h → 3–4 4h–1D → 3 🔹 Usage Tips In trend-following strategies → keep the EMA filter ON. In mean-reversion setups → turn the filter OFF to catch short-term reversals. Give more weight to signals with extreme volume spikes and price beyond Bollinger Bands. This is not an automatic trading system, but a visual trigger to help identify overextended zones and improve entry/exit timing.
อินดิเคเตอร์ Pine Script®
โดย Vito290
Mean Reversion Oscillator [Alpha Extract]An advanced composite oscillator system specifically designed to identify extreme market conditions and high-probability mean reversion opportunities, combining five proven oscillators into a single, powerful analytical framework. By integrating multiple momentum and volume-based indicators with sophisticated extreme level detection, this oscillator provides precise entry signals for contrarian trading strategies while filtering out false reversals through momentum confirmation. 🔶 Multi-Oscillator Composite Framework Utilizes a comprehensive approach that combines Bollinger %B, RSI, Stochastic, Money Flow Index, and Williams %R into a unified composite score. This multi-dimensional analysis ensures robust signal generation by capturing different aspects of market extremes and momentum shifts. // Weighted composite (equal weights) normalized_bb = bb_percent normalized_rsi = rsi normalized_stoch = stoch_d_val normalized_mfi = mfi normalized_williams = williams_r composite_raw = (normalized_bb + normalized_rsi + normalized_stoch + normalized_mfi + normalized_williams) / 5 composite = ta.sma(composite_raw, composite_smooth) 🔶 Advanced Extreme Level Detection Features a sophisticated dual-threshold system that distinguishes between moderate and extreme market conditions. This hierarchical approach allows traders to identify varying degrees of mean reversion potential, from moderate oversold/overbought conditions to extreme levels that demand immediate attention. 🔶 Momentum Confirmation System Incorporates a specialized momentum histogram that confirms mean reversion signals by analyzing the rate of change in the composite oscillator. This prevents premature entries during strong trending conditions while highlighting genuine reversal opportunities. // Oscillator momentum (rate of change) osc_momentum = ta.mom(composite, 5) histogram = osc_momentum // Momentum confirmation momentum_bullish = histogram > histogram momentum_bearish = histogram < histogram // Confirmed signals confirmed_bullish = bullish_entry and momentum_bullish confirmed_bearish = bearish_entry and momentum_bearish 🔶 Dynamic Visual Intelligence The oscillator line adapts its color intensity based on proximity to extreme levels, providing instant visual feedback about market conditions. Background shading creates clear zones that highlight when markets enter moderate or extreme territories. 🔶 Intelligent Signal Generation Generates precise entry signals only when the composite oscillator crosses extreme thresholds with momentum confirmation. This dual-confirmation approach significantly reduces false signals while maintaining sensitivity to genuine mean reversion opportunities. How It Works 🔶 Composite Score Calculation The indicator simultaneously tracks five different oscillators, each normalized to a 0-100 scale, then combines them into a smoothed composite score. This approach eliminates the noise inherent in single-oscillator analysis while capturing the consensus view of multiple momentum indicators. // Mean reversion entry signals bullish_entry = ta.crossover(composite, 100 - extreme_level) and composite < (100 - extreme_level) bearish_entry = ta.crossunder(composite, extreme_level) and composite > extreme_level // Bollinger %B calculation bb_basis = ta.sma(src, bb_length) bb_dev = bb_mult * ta.stdev(src, bb_length) bb_percent = (src - bb_lower) / (bb_upper - bb_lower) * 100 🔶 Extreme Zone Identification The system automatically identifies when markets reach statistically significant extreme levels, both moderate (65/35) and extreme (80/20). These zones represent areas where mean reversion has the highest probability of success based on historical market behavior. 🔶 Momentum Histogram Analysis A specialized momentum histogram tracks the velocity of oscillator changes, helping traders distinguish between healthy corrections and potential trend reversals. The histogram's color-coded display makes momentum shifts immediately apparent. 🔶 Divergence Detection Framework Built-in divergence analysis identifies situations where price and oscillator movements diverge, often signaling impending reversals. Diamond-shaped markers highlight these critical divergence patterns for enhanced pattern recognition. 🔶 Real-Time Information Dashboard An integrated information table provides instant access to current oscillator readings, market status, and individual component values. This dashboard eliminates the need to manually check multiple indicators while trading. 🔶 Individual Component Display Optional display of individual oscillator components allows traders to understand which specific indicators are driving the composite signal. This transparency enables more informed decision-making and deeper market analysis. 🔶 Adaptive Background Coloring Intelligent background shading automatically adjusts based on market conditions, creating visual zones that correspond to different levels of mean reversion potential. The subtle color gradations make pattern recognition effortless. 1D 3D 🔶 Comprehensive Alert System Multi-tier alert system covers confirmed entry signals, divergence patterns, and extreme level breaches. Each alert type provides specific context about the detected condition, enabling traders to respond appropriately to different signal strengths. 🔶 Customizable Threshold Management Fully adjustable extreme and moderate levels allow traders to fine-tune the indicator's sensitivity to match different market volatilities and trading timeframes. This flexibility ensures optimal performance across various market conditions. 🔶 Why Choose AE - Mean Reversion Oscillator? This indicator provides the most comprehensive approach to mean reversion trading by combining multiple proven oscillators with advanced confirmation mechanisms. By offering clear visual hierarchies for different extreme levels and requiring momentum confirmation for signals, it empowers traders to identify high-probability contrarian opportunities while avoiding false reversals. The sophisticated composite methodology ensures that signals are both statistically significant and practically actionable, making it an essential tool for traders focused on mean reversion strategies across all market conditions.
อินดิเคเตอร์ Pine Script®
โดย AlphaExtract
1
MILLION MEN - Sheep HunterWhat it is MILLION MEN – Sheep Hunter is an RSI-based context tool designed to visually highlight extreme sentiment zones. It draws Overbought (herd/FOMO) and Oversold (panic/liquidity) boxes on price, and labels rare events (Whale / Wolf / Sheep / TP10) for easier discretionary analysis. It is not an entry signal generator, but a tool to understand crowd behavior at extremes. How it works RSI core: Adjustable length and custom OB/OS thresholds. Zones:  • Red box = RSI between 80–90 (overbought pocket)  • Green box = RSI ≤ 20 (oversold pocket)  • Box height auto-scales using True Range for clear visibility  • Boxes persist for X bars after exit, keeping context visible Marks (optional):  • Whale (deep oversold)  • Wolf Entry (oversold threshold)  • Sheep (extreme FOMO)  • TP10 (RSI ≤ 10, potential exit area) How to use Use zones and marks as context or confluence, not automatic entries. Oversold areas may hint at exhaustion or liquidity grabs; overbought areas can warn of crowd chasing tops. Combine with structure, HTF bias, volume or price action. Originality & value Unlike standard RSI lines, this tool projects extremes directly onto price with persistent, padded zones and minimal marks for clarity. It helps traders see sentiment pockets over time, rather than momentary RSI spikes. Tested markets This tool has been primarily tested on major crypto assets (BTC, XRP, ETH, BNB, LTC). Behavior on other markets may vary and should be validated before use. Limitations RSI can stay extreme during strong trends. Marks are context labels, not buy/sell signals. Non-standard chart types are not supported. No future data is used. This is not financial advice. يعرض مناطق تشبع شرائي/بيعي على السعر مباشرة (صناديق حمراء وخضراء) مع علامات لحالات قصوى مثل Whale / Sheep. الهدف هو فهم سلوك السيولة والجمهور عند التطرف وليس إعطاء إشارات دخول مباشرة. تمت تجربة الأداة على العملات الرئيسية (BTC, XRP, ETH, BNB, LTC) وقد يختلف الأداء في الأسواق الأخرى.
อินดิเคเตอร์ Pine Script®
โดย MILLION_MEN
Enhanced Holt-Winters RSI [BOSWaves]Enhanced Holt-Winters RSI – Next-Level Momentum Smoothing & Signal Precision Overview The Enhanced Holt-Winters RSI transforms the classic Relative Strength Index into a robust, lag-minimized momentum oscillator through Holt-Winters triple exponential smoothing. By modeling the level, trend, and cyclical behavior of the RSI series, this indicator delivers smoother, more responsive signals that highlight overbought/oversold conditions, momentum shifts, and high-conviction trading setups without cluttering the chart with noise. Unlike traditional RSI, which reacts to historical data and produces frequent whipsaws, the Enhanced Holt-Winters RSI filters transient price fluctuations, enabling traders to detect emerging momentum and potential reversal zones earlier. Theoretical Foundation The traditional RSI measures relative strength by comparing average gains and losses, but suffers from: Lag in trend recognition : Signals often arrive after momentum has shifted. Noise sensitivity : High-frequency price movements generate unreliable crossovers. Limited insight into structural market shifts : Standard RSI cannot contextualize cyclical or momentum patterns. The Enhanced Holt-Winters RSI addresses these limitations by applying triple exponential smoothing directly to the RSI series. This decomposes the series into: Level (Lₜ) : Represents the smoothed central tendency of RSI. Trend (Tₜ) : Captures rate-of-change in smoothed momentum. Seasonal Component (Sₜ) : Models short-term cyclical deviations in momentum. By incorporating these elements, the oscillator produces smoothed RSI values that react faster to emerging trends while suppressing erratic noise. Its internal forecast is mathematical, influencing the smoothed RSI output and signals, rather than being directly plotted. How It Works The Enhanced Holt-Winters RSI builds its signal framework through several layers: 1. Base RSI Calculation Computes standard RSI over the selected period as the primary momentum input. 2. Triple Exponential Smoothing (Holt-Winters) The RSI is smoothed recursively to extract underlying momentum structure: Level, trend, and seasonal components are combined to produce a smoothed RSI. This internal smoothing reduces lag and enhances signal reliability. 3. Momentum Analysis Short-term momentum shifts are tracked via a moving average of the smoothed RSI, highlighting acceleration or deceleration in directional strength. 4. Volume Confirmation (Optional) Buy/sell signals can be filtered through a configurable volume threshold, ensuring only high-conviction moves trigger alerts. 5. Visual Output Colored Candles : Represent overbought (red), oversold (green), or neutral (yellow) conditions. Oscillator Panel : Plots the smoothed RSI with dynamic color coding for immediate trend context. Signals : Triangular markers indicate bullish or bearish setups, with stronger signals flagged in extreme zones. Interpretation The Enhanced Holt-Winters RSI provides a multi-dimensional perspective on price action: Trend Strength : Smoothed RSI slope and color coding reflect the direction and momentum intensity. Momentum Shifts : Rapid changes in the smoothed RSI indicate emerging strength or weakness. Overbought/Oversold Zones : Highlight areas where price is stretched relative to recent momentum. High-Conviction Signals : Combined with volume filtering, markers indicate optimal entries/exits. Cycle Awareness : Smoothing reveals structural patterns, helping traders avoid reacting to noise. By combining these elements, traders gain early insight into market structure and momentum without relying on raw, lag-prone RSI data. Strategy Integration The Enhanced Holt-Winters RSI can be applied across trading styles: Trend Following Enter when RSI is aligned with price momentum and color-coded signals confirm trend direction. Strong slope in the smoothed RSI signals trend continuation. Reversal Trading Look for RSI extremes with momentum shifts and strong signal markers. Compression in oscillator values often precedes reversal setups. Breakout Detection Oscillator flattening in neutral zones followed by directional expansion indicates potential breakout conditions. Multi-Timeframe Confluence Higher timeframes provide directional bias; lower timeframes refine entry timing using smoothed RSI dynamics. Technical Implementation Details Input Source : Close, open, high, low, or price. Smoothing : Holt-Winters triple exponential smoothing applied to RSI. Parameters : Level (α) : Controls smoothing of RSI. Trend (β) : Adjusts responsiveness to momentum changes. Seasonal Length : Defines cycles for short-term adjustments. Delta Smoothing : Reduces choppiness in smoothed RSI difference. Outputs : Smoothed RSI Colored candles and oscillator panel Buy/Sell signal markers (with optional strength filtering) Volume Filtering : Optional threshold to confirm signals. Optimal Application Parameters Asset-Specific Guidance: Forex : Use moderate smoothing (α, β) to capture medium-term momentum swings while filtering minor price noise. Works best when combined with volume or volatility filters. Equities : Balance responsiveness and smoothness to identify sustained sector momentum or rotational shifts; ideal for capturing clean directional transitions. Cryptocurrency : Increase smoothing parameters slightly to stabilize RSI during extreme volatility; optional volume confirmation can help filter false signals. Futures/Indices : Lower smoothing sensitivity emphasizes macro momentum and structural trend durability over short-term fluctuations. Timeframe Optimization: Scalping (1-5m) : Use higher sensitivity (lower smoothing factors) to react quickly to micro-momentum reversals. Intraday (15m-1h) : Balance smoothing and responsiveness for detecting short-term acceleration and exhaustion zones. Swing (4h-Daily) : Apply moderate smoothing to reveal underlying directional persistence and cyclical reversals. Position (Daily-Weekly) : Use stronger smoothing to isolate dominant momentum trends and filter temporary pullbacks. Integration Guidelines Combine with trend filters (EMAs, SuperSmoother MA, ATR-based tools) for confirmation. Use volume and signal strength markers to filter low-conviction trades. Slope, color, and signal alignment can guide entry, stop placement, and scaling. Disclaimer The Enhanced Holt-Winters RSI is a technical analysis tool, not a guaranteed profit system. Effectiveness depends on proper settings, market structure, and disciplined risk management. Always backtest before live trading.
อินดิเคเตอร์ Pine Script®
โดย BOSWaves
1
MILLION MEN - Peaks & Dips MeterWhat it is The MILLION MEN — Peaks & Dips Meter is a dynamic momentum visualization tool designed to identify extreme strength and exhaustion zones. It uses two selectable engines: RSI Meter (ZS Core) for classic strength analysis. OB/OS Multi-Length (ZS Quick Core) for adaptive readings that reflect multi-period sentiment shifts. How it works The script computes normalized momentum values (0–100) from price dynamics, builds a smooth gradient representation, and displays it as a fixed right-bottom table. The meter color scales between fuchsia and green, with optional candle coloring and percentage labels. It can also highlight overbought (peaks) and oversold (dips) moments directly on candles with adjustable ATR offsets and label styles. How to use Values near 90–100% → potential short-term exhaustion (watch for reversals). Values near 0–10% → potential accumulation zones (possible bounces). Use together with structure, volume, or trend filters for confirmation. Originality Unlike standard RSI tools, this script merges multi-length OB/OS detection with a real-time visual meter, optimized for scalpers and visual traders. It does not repaint and maintains a lightweight structure for fast responsiveness. Limitations This indicator is for analysis purposes only and should not be considered financial advice. Past readings do not guarantee future performance.
อินดิเคเตอร์ Pine Script®
โดย MILLION_MEN
Aggregated Scores Oscillator [Alpha Extract]A sophisticated risk-adjusted performance measurement system that combines Omega Ratio and Sortino Ratio methodologies to create a comprehensive market assessment oscillator. Utilizing advanced statistical band calculations with expanding and rolling window analysis, this indicator delivers institutional-grade overbought/oversold detection based on risk-adjusted returns rather than traditional price movements. The system's dual-ratio aggregation approach provides superior signal accuracy by incorporating both upside potential and downside risk metrics with dynamic threshold adaptation for varying market conditions. 🔶 Advanced Statistical Framework Implements dual statistical methodologies using expanding and rolling window calculations to create adaptive threshold bands that evolve with market conditions. The system calculates cumulative statistics alongside rolling averages to provide both historical context and current market regime sensitivity with configurable window parameters for optimal performance across timeframes. 🔶 Dual Ratio Integration System Combines Omega Ratio analysis measuring excess returns versus deficit returns with Sortino Ratio calculations focusing on downside deviation for comprehensive risk-adjusted performance assessment. The system applies configurable smoothing to both ratios before aggregation, ensuring stable signal generation while maintaining sensitivity to regime changes. // Omega Ratio Calculation Excess_Return = sum((Daily_Return > Target_Return ? Daily_Return - Target_Return : 0), Period) Deficit_Return = sum((Daily_Return < Target_Return ? Target_Return - Daily_Return : 0), Period) Omega_Ratio = Deficit_Return ≠ 0 ? (Excess_Return / Deficit_Return) : na // Sortino Ratio Framework Downside_Deviation = sqrt(sum((Daily_Return < Target_Return ? (Daily_Return - Target_Return)² : 0), Period) / Period) Sortino_Ratio = (Mean_Return / Downside_Deviation) * sqrt(Annualization_Factor) // Aggregated Score Aggregated_Score = SMA(Omega_Ratio, Omega_SMA) + SMA(Sortino_Ratio, Sortino_SMA) 🔶 Dynamic Band Calculation Engine Features sophisticated threshold determination using both expanding historical statistics and rolling window analysis to create adaptive overbought/oversold levels. The system incorporates configurable multipliers and sensitivity adjustments to optimize signal timing across varying market volatility conditions with automatic band convergence logic. 🔶 Signal Generation Framework Generates overbought conditions when aggregated score exceeds adjusted upper threshold and oversold conditions below lower threshold, with neutral zone identification for range-bound markets. The system provides clear binary signal states with background zone highlighting and dynamic oscillator coloring for intuitive market condition assessment. 🔶 Enhanced Visual Architecture Provides modern dark theme visualization with neon color scheme, dynamic oscillator line coloring based on signal states, and gradient band fills for comprehensive market condition visualization. The system includes zero-line reference, statistical band plots, and background zone highlighting with configurable transparency levels. snapshot 🔶 Risk-Adjusted Performance Analysis Utilizes target return parameters for customizable risk assessment baselines, enabling traders to evaluate performance relative to specific return objectives. The system's focus on downside deviation through Sortino analysis provides superior risk-adjusted signals compared to traditional volatility-based oscillators that treat upside and downside movements equally. 🔶 Multi-Timeframe Adaptability Features configurable calculation periods and rolling windows to optimize performance across various timeframes from intraday to long-term analysis. The system's statistical foundation ensures consistent signal quality regardless of timeframe selection while maintaining sensitivity to market regime changes through adaptive band calculations. 🔶 Performance Optimization Framework Implements efficient statistical calculations with optimized variable management and configurable smoothing parameters to balance responsiveness with signal stability. The system includes automatic band adjustment mechanisms and rolling window management for consistent performance across extended analysis periods. This indicator delivers sophisticated risk-adjusted market analysis by combining proven statistical ratios in a unified oscillator framework. Unlike traditional overbought/oversold indicators that rely solely on price movements, the ASO incorporates risk-adjusted performance metrics to identify genuine market extremes based on return quality rather than price volatility alone. The system's adaptive statistical bands and dual-ratio methodology provide institutional-grade signal accuracy suitable for systematic trading approaches across cryptocurrency, forex, and equity markets with comprehensive visual feedback and configurable risk parameters for optimal strategy integration.
อินดิเคเตอร์ Pine Script®
โดย AlphaExtract
2
RSI Cloud v1.0 [PriceBlance] RSI Cloud v1.0 — Ichimoku-style Cloud on RSI(14), not on price. Recalibrated baselines: EMA9 (Tenkan) for speed, WMA45 (Kijun) for stability. Plus ADX-on-RSI to grade strength so you know when momentum persists or fades. 1. Introduction RSI Cloud v1.0 applies an Ichimoku Cloud directly on RSI(14) to reveal momentum regimes earlier and cleaner than price-based views. We replaced Tenkan with EMA9 (faster, more responsive) and Kijun with WMA45 (slower, more stable) to fit a bounded oscillator (0–100). Forward spans (+26) and a lagging line (−26) provide a clear framework for trend bias and transitions. To qualify signals, the indicator adds ADX computed on RSI—highlighting whether strength is weak, strong, or very strong, so you can decide when to follow, fade, or stand aside. 2. Core Mapping (Hook + Bullets) At a glance: Ichimoku on RSI(14) with recalibrated baselines for a bounded oscillator. Source: RSI(14) Tenkan → EMA9(RSI) (fast, responsive) Kijun → WMA45(RSI) (slow, stable) Span A: classic Ichimoku midline, displaced +26 Span B: classic Ichimoku baseline, displaced +26 Lagging line: RSI shifted −26 3. Key Benefits (Why traders care) Momentum regimes on RSI: position vs. Cloud = bull / bear / transition at a glance. Cleaner confirmations: EMA9/WMA45 pairing cuts noise vs. raw 30/70 flips. Earlier warnings: Cloud breaks on RSI often lead price-based confirmations. 4. ADX on RSI (Enhanced Strength Normalization) Grade strength inside the RSI domain using ADX from ΔRSI: ADX ≤ 20 → Weak (transparency = 60) ADX ≤ 40 → Strong (transparency = 15) ADX > 40 → Very strong (transparency = 0) Use these tiers to decide when to trust, fade, or ignore a signal. 5. How to Read (Quick rules) Bias / Regime Bullish: RSI above Cloud and RSI > WMA45 Bearish: RSI below Cloud and RSI < WMA45 Neutral / Transition: all other cases 6. Settings (Copy & use) RSI Length: 14 (default) Tenkan: EMA9 on RSI · Kijun: WMA45 on RSI Displacement: +26 (Span A/B) · −26 (Lagging) Theme: PriceBlance Dark/Light Visibility toggles: Cloud, Baselines, Lagging, labels/panel, Overbought/Oversold, Divergence, ADX-on-RSI (via transparency coloring) 7. Credits & License Author/Brand: PriceBlance Version: v1.0 (Free) Watermark: PriceBlance • RSI Cloud v1.0 Disclaimer: Educational content; not financial advice. 8. CTA If this helps, please ⭐ Star and Follow for updates & new tools. Feedback is welcome—comment what you’d like added next (alerts, presets, visuals).
อินดิเคเตอร์ Pine Script®
โดย priceblancetrading
Oscillator Matrix [Alpha Extract]A comprehensive multi-oscillator system that combines volume-weighted money flow analysis with enhanced momentum detection, providing traders with a unified framework for identifying high-probability market opportunities across all timeframes. By integrating two powerful oscillators with advanced confluence analysis, this indicator delivers precise entry and exit signals while filtering out market noise through sophisticated threshold-based regime detection. 🔶 Volume-Weighted Money Flow Analysis Utilizes an advanced money flow calculation that tracks volume-weighted price movements to identify institutional activity and smart money flow. This approach provides superior signal quality by emphasizing high-volume price movements while filtering out low-volume market noise. // Volume-weighted flows up_volume = price_up ? volume : 0 down_volume = price_down ? volume : 0 // Money Flow calculation up_vol_sum = ta.sma(up_volume, mf_length) down_vol_sum = ta.sma(down_volume, mf_length) total_volume = up_vol_sum + down_vol_sum money_flow_ratio = total_volume > 0 ? (up_vol_sum - down_vol_sum) / total_volume : 0 🔶 Enhanced Hyper Wave Oscillator Features a sophisticated MACD-based momentum oscillator with advanced normalization techniques that adapt to different price ranges and market volatility. The system uses percentage-based calculations to ensure consistent performance across various instruments and timeframes. // Enhanced MACD-based oscillator fast_ma = ta.ema(src, hw_fast) slow_ma = ta.ema(src, hw_slow) macd_line = fast_ma - slow_ma signal_line = ta.ema(macd_line, hw_signal) // Proper normalization using percentage of price price_base = ta.sma(close, 50) macd_normalized = macd_line / price_base hyper_wave = macd_range > 0 ? macd_normalized / macd_range : 0 🔶 Multi-Factor Confluence System Implements an intelligent confluence scoring mechanism that combines signals from both oscillators to identify high-probability trading opportunities. The system assigns strength scores based on multiple confirmation factors, significantly reducing false signals. 🔶 Fixed Threshold Levels Uses predefined threshold levels optimized for standard oscillator ranges to distinguish between normal market fluctuations and significant momentum shifts. The dual-threshold system provides clear visual cues for overbought/oversold conditions while maintaining consistent signal criteria across different market conditions. 🔶 Overflow Detection Technology Advanced overflow indicators identify extreme market conditions that often precede major reversals or continuation patterns. These signals highlight moments when market momentum reaches critical levels, providing early warning for potential turning points. 🔶 Dual Oscillator Integration The indicator simultaneously tracks volume-weighted money flow and momentum-based price action through two independent oscillators. This dual approach ensures comprehensive market analysis by capturing both institutional activity and technical momentum patterns. // Multi-factor confluence scoring confluence_bull = (mf_bullish ? 1 : 0) + (hw_bullish ? 1 : 0) + (mf_overflow_bull ? 1 : 0) + (hw_overflow_bull ? 1 : 0) confluence_bear = (mf_bearish ? 1 : 0) + (hw_bearish ? 1 : 0) + (mf_overflow_bear ? 1 : 0) + (hw_overflow_bear ? 1 : 0) confluence_strength = confluence_bull > confluence_bear ? confluence_bull / 4 : -confluence_bear / 4 🔶 Intelligent Signal Generation The system generates two tiers of reversal signals: strong signals that require multiple confirmations across both oscillators, and weak signals that identify early momentum shifts. This hierarchical approach allows traders to adjust position sizing based on signal strength. 🔶 Visual Confluence Zones Background coloring dynamically adjusts based on confluence strength, creating visual zones that immediately communicate market sentiment. The intensity of background shading corresponds to the strength of the confluent signals, making pattern recognition effortless. 🔶 Threshold Visualization Color-coded threshold zones provide instant visual feedback about oscillator positions relative to key levels. The fill areas between thresholds create clear overbought and oversold regions with graduated color intensity. 🔶 Candle Color Integration Optional candle coloring applies confluence-based color logic directly to price bars, creating a unified visual framework that helps traders correlate indicator signals with actual price movements for enhanced decision-making. 🔶 Overflow Alert System Specialized circular markers highlight extreme overflow conditions on both oscillators, drawing attention to potential climax moves that often precede significant reversals or accelerated trend continuation. 🔶 Customizable Display Options Comprehensive display controls allow traders to toggle individual components on or off, enabling focused analysis on specific aspects of the indicator. This modularity ensures the indicator adapts to different trading styles and analytical preferences. 1 Week 1 Day 15 Min This indicator provides a complete analytical framework by combining volume analysis with momentum detection in a single, coherent system. By offering multiple confirmation layers and clear visual hierarchies, it empowers traders to identify high-probability opportunities while maintaining precise risk management across all market conditions and timeframes. The sophisticated confluence system ensures that signals are both timely and reliable, making it an essential tool for serious technical analysts.
อินดิเคเตอร์ Pine Script®
โดย AlphaExtract
3
Algorithmic Value Oscillator [CRYPTIK1]Algorithmic Value Oscillator Introduction: What is the AVO? Welcome to the Algorithmic Value Oscillator (AVO), a powerful, modern momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI, the AVO measures the current price relative to a significant, higher-timeframe Value Zone . This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, " Where is the current price in relation to its recently established area of value? " This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, all presented with a clean, futuristic aesthetic designed for the modern trader. The Core Concept: Price vs. Value The market is constantly trying to find equilibrium. The AVO is built on the principle that the high and low of a significant prior period (like the previous day or week) create a powerful area of perceived value. The Value Zone: The range between the high and low of the selected higher timeframe. Premium Territory (Distribution Zone): When the oscillator moves into the glowing pink/purple zone above +100, it is trading at a premium. Discount Territory (Accumulation Zone): When the oscillator moves into the glowing teal/blue zone below -100, it is trading at a discount. Key Features 1. Glowing Gradient Oscillator: The main oscillator line is a dynamic visual guide to momentum. The line changes color smoothly from light blue to neon teal as bullish momentum increases. It shifts from hot pink to bright purple as bearish momentum increases. Multiple transparent layers create a professional "glow" effect, making the trend easy to see at a glance. 2. Dynamic Volatility Histogram: This histogram at the bottom of the indicator is a custom volatility meter. It has been engineered to be adaptive, ensuring that the visual differences between high and low volatility are always clear and dramatic, no matter your zoom level. It uses a multi-color gradient to visualize the intensity of market volatility. 3. Volatility Regime Dashboard: This simple on-screen table analyzes the histogram and provides a clear, one-word summary of the current market state: Compressing, Stable, or Expanding. How to Use the AVO: Trading Strategies 1. Reversion Trading This is the most direct way to use the indicator. Look for Buys: When the AVO line drops into the teal "Accumulation Zone" (below -100), the price is trading at a discount. Watch for the oscillator to form a bottom and start turning up as a signal that buying pressure is returning. Look for Sells: When the AVO line moves into the pink "Distribution Zone" (above +100), the price is trading at a premium. Watch for the oscillator to form a peak and start turning down as a signal that selling pressure is increasing. 2. Best Practices & Settings Timeframe Synergy: The AVO is most effective when your chart timeframe is lower than your selected "Value Zone Source." For example, if you trade on the 1-hour chart, set your Value Zone to "Previous Day." Confirmation is Key: This indicator provides powerful context, but it should not be used in isolation. Always combine its readings with your primary analysis, such as market structure and support/resistance levels.
อินดิเคเตอร์ Pine Script®
โดย CRYPTIK1
3
FSVZO [Alpha Extract]A sophisticated volume-weighted momentum oscillator that combines Fourier smoothing with Volume Zone Oscillator methodology to deliver institutional-grade flow analysis and divergence detection. Utilizing advanced statistical filtering including ADF trend analysis and multi-dimensional volume dynamics, this indicator provides comprehensive market sentiment assessment through volume-price relationships with extreme zone detection and intelligent divergence recognition for high-probability reversal and continuation signals. 🔶 Advanced VZO Calculation Engine Implements enhanced Volume Zone Oscillator methodology using relative volume analysis combined with smoothed price changes to create momentum-weighted oscillator values. The system applies exponential smoothing to both volume and price components before calculating positive and negative momentum ratios with trend factor integration for market regime awareness. 🔶 Fourier-Based Smoothing Architecture Features advanced Fourier approximation smoothing using cosine-weighted calculations to reduce noise while preserving signal integrity. The system applies configurable Fourier length parameters with weighted sum normalization for optimal signal clarity across varying market conditions with enhanced responsiveness to genuine trend changes. // Fourier Smoothing Algorithm fourier_smooth(src, length) => sum = 0 weightSum = 0 for i = 0 to length - 1 weight = cos(2 * π * i / length) sum += src * weight weightSum += weight sum / weightSum 🔶 Intelligent Divergence Detection System Implements comprehensive divergence analysis using pivot point methodology with configurable lookback periods for both standard and hidden divergence patterns. The system validates divergence conditions through range analysis and provides visual confirmation through plot lines, labels, and color-coded identification for precise timing analysis. 15MIN 4H 12H 🔶 Flow Momentum Analysis Framework Calculates flow momentum by measuring oscillator deviation from its exponential moving average, providing secondary confirmation of volume flow dynamics. The system creates momentum-based fills and visual indicators that complement the primary oscillator analysis for comprehensive market flow assessment. 🔶 Extreme Zone Detection Engine Features sophisticated extreme zone identification at ±98 levels with specialized marker system including white X markers for signals occurring in extreme territory and directional triangles for potential reversal points. The system provides clear visual feedback for overbought/oversold conditions with institutional-level threshold accuracy. 🔶 Dynamic Visual Architecture Provides advanced visualization engine with bullish/bearish color transitions, dynamic fill regions between oscillator and signal lines, and flow momentum overlay with configurable transparency levels. The system includes flip markers aligned to color junction points for precise signal timing with optional bar close confirmation to prevent repainting. 🔶 ADF Trend Filtering Integration Incorporates Augmented Dickey-Fuller inspired trend filtering using normalized price statistics to enhance signal quality during trending versus ranging market conditions. The system calculates trend factors based on mean deviation and standard deviation analysis for improved oscillator accuracy across market regimes. 🔶 Comprehensive Alert System Features intelligent multi-tier alert framework covering bullish/bearish flow detection, extreme zone reversals, and divergence confirmations with customizable message templates. The system provides real-time notifications for critical volume flow changes and structural market shifts with exchange and ticker integration. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable smoothing parameters to balance signal quality with computational efficiency. The system includes automatic pivot validation and range checking for consistent performance across extended analysis periods with minimal resource usage. This indicator delivers sophisticated volume-weighted momentum analysis through advanced Fourier smoothing and comprehensive divergence detection capabilities. Unlike traditional volume oscillators that focus solely on volume patterns, the FSVZO integrates volume dynamics with price momentum and statistical trend filtering to provide institutional-grade flow analysis. The system's combination of extreme zone detection, intelligent divergence recognition, and multi-dimensional visual feedback makes it essential for traders seeking systematic approaches to volume-based market analysis across cryptocurrency, forex, and equity markets with clearly defined reversal and continuation signals.
อินดิเคเตอร์ Pine Script®
โดย AlphaExtract
12
Williams %R smoothed🌍 English Description Williams %R Smoothed – by Ján Salma This is the first smoothed version of the Williams %R indicator published on TradingView. The traditional Williams %R is a momentum oscillator that can be very choppy and noisy. Many traders find it hard to use because of the constant whipsaws. This indicator solves that problem by applying an EMA smoothing on top of the raw Williams %R values. Why is this special? [* ]📉 Reduces noise → much cleaner signal, fewer false spikes. 🔍 Highlights real momentum shifts → easier to spot when the market truly changes direction. 🎯 Customizable smoothing → you decide how sensitive or smooth the curve should be. ⚡ Unique → currently, there is no other smoothed Williams %R available on TradingView. Settings Length → default 14 (standard Williams %R period). Smoothing → default 3 EMA (smooths out the raw values). Levels: -20 (overbought), -80 (oversold), -50 (mid-level). This indicator is great for scalpers and swing traders who love Williams %R but hate the noise. Now you can finally use %R with more confidence and clarity. -------------------------------------------------------------------- Slovenský popis Williams %R Smoothed – od Jána Salmu Toto je prvá vyhladená verzia Williams %R indikátora publikovaná na TradingView. Klasický Williams %R je oscilátor hybnosti, ktorý je často veľmi „roztrasený“ a plný šumu. Mnoho traderov s ním preto pracuje ťažko, pretože dáva veľa falošných signálov. Tento indikátor to rieši tak, že na pôvodné hodnoty Williams %R aplikuje EMA vyhladenie . Čo robí tento indikátor výnimočným? 📉 Redukuje šum → výsledná krivka je čistejšia, s menej falošnými výkyvmi. 🔍 Zvýrazňuje skutočné zmeny hybnosti → jasnejšie vidíš, kedy sa trh naozaj otáča. 🎯 Nastaviteľné vyhladenie → citlivosť indikátora si prispôsobíš podľa seba. ⚡ Unikát → na TradingView zatiaľ neexistuje žiadny iný vyhladený Williams %R. Nastavenia Dĺžka → predvolená hodnota 14 (štandardný Williams %R). Smoothing (EMA) → predvolená hodnota 3 (vyhladenie krivky). Úrovne: -20 (prekúpený trh), -80 (prepredaný trh), -50 (stredová hodnota). Tento indikátor je skvelý pre scalperov aj swing traderov, ktorí majú radi Williams %R, ale chcú ho používať s väčšou presnosťou a prehľadnosťou.
อินดิเคเตอร์ Pine Script®
โดย JanSalma_SniperTrading
Adaptive Open InterestThis indicator analyzes Bitcoin open interest to identify overbought and oversold conditions that historically precede major price moves. Unlike static levels, it automatically adapts to current market conditions by analyzing the last 320 bars (user adjustable). How It Works Adaptive Algorithm: -Analyzes the last 320 bars of open interest data -Combines percentile analysis (90th, 80th, 20th, 10th percentiles) with statistical analysis (standard deviations) -Creates dynamic zones that adjust as market conditions change Four Key Zones: 🔴 Extreme Overbought (Red) - Major crash risk territory 🟠 Overbought (Orange) - Correction risk territory 🔵 Oversold (Blue) - Opportunity territory 🟢 Extreme Oversold (Green) - Major opportunity territory For Risk Management: -When OI enters red zones → Consider reducing long positions, major crash risk -When OI enters orange zones → Caution, correction likely incoming For Opportunities: -When OI enters blue zones → Look for long opportunities -When OI enters green zones → Strong buying opportunity, major bounce potential The Table Shows: -Current status (which zone OI is in) -Range position (where current OI sits as % of 320-bar range) -320-bar high/low levels for context Why It's Effective: -Adaptive Nature: What's "high" OI in a bear market differs from bull market - the indicator knows the difference and adjusts automatically. -Proven Approach: Combines multiple statistical methods for robust signals that work across different market cycles. -Alert System: Optional alerts notify you when OI crosses critical thresholds, so you don't miss important signals. -The indicator essentially tells you when the futures market is getting "too crowded" (danger) or "too empty" (opportunity) relative to recent history.
อินดิเคเตอร์ Pine Script®
โดย s3raphic333
Dynamic Value Zone Oscillator (DVZO) - @CRYPTIK1Dynamic Value Zone Oscillator (DVZO) @CRYPTIK1 Introduction: What is the DVZO? The Dynamic Value Zone Oscillator (DVZO) is a powerful momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI or Stochastics, the DVZO measures the current price relative to a significant, higher-timeframe Value Zone (e.g., the previous week's entire price range). This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, "Where is the current price in relation to its recently established area of value?" This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, leading to higher-probability reversal and trend-following signals. The Core Concept: Price vs. Value The market is constantly trying to find equilibrium or "fair value." The DVZO is built on the principle that the high and low of a significant prior period (like the previous day, week, or month) create a powerful area of perceived value. The Value Zone: The range between the high and low of the selected higher timeframe. The midpoint of this zone is the equilibrium (0 line on the oscillator). Premium Territory (Distribution Zone): When price breaks above the Value Zone High (+100 line), it is trading at a premium. This is an area where sellers are more likely to become active and buyers may be over-extending. Discount Territory (Accumulation Zone): When price breaks below the Value Zone Low (-100 line), it is trading at a discount. This is an area where buyers are more likely to see value and sellers may be exhausted. By anchoring its analysis to these significant structural levels, the DVZO filters out much of the noise from lower-timeframe price fluctuations. Key Features The Oscillator: The main blue line visualizes exactly where the current price is within the context of the Value Zone. +100: The high of the Value Zone. 0: The midpoint/equilibrium of the Value Zone. -100: The low of the Value Zone. Automatic Divergence Detection: The DVZO automatically identifies and plots bullish and bearish divergences on both the price chart and the oscillator itself. Bullish Divergence: Price makes a new low, but the DVZO makes a higher low. This is a strong signal that downside momentum is fading and a reversal to the upside is likely. Bearish Divergence: Price makes a new high, but the DVZO makes a lower high. This indicates that upside momentum is waning and a pullback is probable. Value Migration Histogram: The purple histogram in the background visualizes the width of the Value Zone. Expanding Histogram: Volatility is increasing, and the accepted value range is getting wider. Contracting Histogram: Volatility is decreasing, and the price is coiling in a tight range, often in anticipation of a major breakout. How to Use the DVZO: Trading Strategies 1. Reversion Trading This is the most direct way to use the indicator. Look for Buys: When the DVZO line drops below -100, the price is in the "Accumulation Zone." Wait for the price to show signs of strength (e.g., a bullish candle pattern) and the DVZO line to start turning back up towards the -100 level. This is a high-probability mean reversion setup. Look for Sells: When the DVZO line moves above +100, the price is in the "Distribution Zone." Look for signs of weakness (e.g., a bearish engulfing candle) and the DVZO line to start turning back down towards the +100 level. 2. Divergence Trading Divergences are powerful confirmation signals. Entry Signal: When a Bullish Divergence appears, it provides a strong entry signal for a long position, especially if it occurs within the Accumulation Zone (below -100). Exit/Short Signal: When a Bearish Divergence appears, it can serve as a signal to take profit on long positions or to look for a short entry, especially if it occurs in the Distribution Zone (above +100). 3. Best Practices & Settings Timeframe Synergy: The DVZO is most effective when your chart timeframe is lower than your selected Value Zone Source. For Day Trading (e.g., 1H, 4H chart): Use the "Previous Day" Value Zone. For Swing Trading (e.g., 1D, 12H chart): Use the "Previous Week" or "Previous Month" Value Zone. Confirmation is Key: The DVZO is a powerful tool, but it should not be used in isolation. Always combine its signals with other forms of analysis, such as market structure, support/resistance levels, and candlestick patterns, for confirmation.
อินดิเคเตอร์ Pine Script®
โดย CRYPTIK1