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RockstarrFX — Stochastic OB/OS Cross SignalsThe RockstarrFX Stochastic Cross Strategy (5/3/3) is a clean, professional-grade tool that plots %K and %D lines and generates buy/sell signals only in high-probability zones. 🔑 How it works: Buy (B): %K crosses above %D in/near oversold (≤22) Sell (S): %K crosses below %D in/near overbought (≥78) ⚙️ Features: Built on the classic Stochastic 5/3/3 oscillator Signals filtered to appear only in OB/OS regions (reducing false triggers) Default label size = Tiny (with options for Small/Normal) Optional OB/OS shading for quick context Mono-inspired muted colors for a clean charting experience 🔥 Designed for traders who rely on momentum shifts, reversals, and confluence setups. Works across all timeframes — forex, crypto, indices, and stocks. 🔍 Keywords (SEO): stochastic oscillator, stochastic cross strategy, overbought oversold signals, stochastic indicator, momentum trading, stochastic trading system, buy sell signals. ⚡ Part of the RockstarrFX 3-Step Setup Toolkit. ⚠️ Disclaimer: This script is published for educational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Past performance is not indicative of future results. Always test on demo before using in live markets and trade responsibly.
Penunjuk Pine Script®
oleh RockStarrFX
1
Savitzky-Golay Hampel Filter | AlphaNattSavitzky-Golay Hampel Filter | AlphaNatt A revolutionary indicator combining NASA's satellite data processing algorithms with robust statistical outlier detection to create the most scientifically advanced trend filter available on TradingView. "This is the same mathematics that processes signals from the Hubble Space Telescope and analyzes data from the Large Hadron Collider - now applied to financial markets." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 SCIENTIFIC PEDIGREE Savitzky-Golay Filter Applications: NASA: Satellite telemetry and space probe data processing CERN: Particle physics data analysis at the LHC Pharmaceutical: Chromatography and spectroscopy analysis Astronomy: Processing signals from radio telescopes Medical: ECG and EEG signal processing Hampel Filter Usage: Aerospace: Cleaning sensor data from aircraft and spacecraft Manufacturing: Quality control in precision engineering Seismology: Earthquake detection and analysis Robotics: Sensor fusion and noise reduction ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧬 THE MATHEMATICS 1. Savitzky-Golay Filter The SG filter performs local polynomial regression on data points: Fits a polynomial of degree n to a sliding window of data Evaluates the polynomial at the center point Preserves higher moments (peaks, valleys) unlike moving averages Maintains derivative information for true momentum analysis Originally published in Analytical Chemistry (1964) Mathematical Properties: Optimal smoothing in the least-squares sense Preserves statistical moments up to polynomial order Exact derivative calculation without additional lag Superior frequency response vs traditional filters 2. Hampel Filter A robust outlier detector based on Median Absolute Deviation (MAD): Identifies outliers using robust statistics Replaces spurious values with polynomial-fitted estimates Resistant to up to 50% contaminated data MAD is 1.4826 times more robust than standard deviation Outlier Detection Formula: |x - median| > k × 1.4826 × MAD Where k is the threshold parameter (typically 3 for 99.7% confidence) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 WHY THIS IS SUPERIOR vs Moving Averages: Preserves peaks and valleys (critical for catching tops/bottoms) No lag penalty for smoothness Maintains derivative information Polynomial fitting > simple averaging vs Other Filters: Outlier immunity (Hampel component) Scientifically optimal smoothing Preserves higher-order features Used in billion-dollar research projects Unique Advantages: Feature Preservation: Maintains market structure while smoothing Spike Immunity: Ignores false breakouts and stop hunts Derivative Accuracy: True momentum without additional indicators Scientific Validation: 60+ years of academic research ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ PARAMETER OPTIMIZATION 1. Polynomial Order (2-5) 2 (Quadratic): Maximum smoothing, gentle curves 3 (Cubic): Balanced smoothing and responsiveness (recommended) 4-5 (Higher): More responsive, preserves more features 2. Window Size (7-51) Must be odd number Larger = smoother but more lag Formula: 2×(desired smoothing period) + 1 Default 21 = analyzes 10 bars each side 3. Hampel Threshold (1.0-5.0) 1.0: Aggressive outlier removal (68% confidence) 2.0: Moderate outlier removal (95% confidence) 3.0: Conservative outlier removal (99.7% confidence) (default) 4.0+: Only extreme outliers removed 4. Final Smoothing (1-7) Additional WMA smoothing after filtering 1 = No additional smoothing 3-5 = Recommended for most timeframes 7 = Ultra-smooth for position trading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 TRADING STRATEGIES Signal Recognition: Cyan Line: Bullish trend with positive derivative Pink Line: Bearish trend with negative derivative Color Change: Trend reversal with polynomial confirmation 1. Trend Following Strategy Enter when price crosses above cyan filter Exit when filter turns pink Use filter as dynamic stop loss Best in trending markets 2. Mean Reversion Strategy Enter long when price touches filter from below in uptrend Enter short when price touches filter from above in downtrend Exit at opposite band or filter color change Excellent for range-bound markets 3. Derivative Strategy (Advanced) The SG filter preserves derivative information Acceleration = second derivative > 0 Enter on positive first derivative + positive acceleration Exit on negative second derivative (momentum slowing) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 PERFORMANCE CHARACTERISTICS Strengths: Outlier Immunity: Ignores stop hunts and flash crashes Feature Preservation: Catches tops/bottoms better than MAs Smooth Output: Reduces whipsaws significantly Scientific Basis: Not curve-fitted or optimized to markets Considerations: Slight lag in extreme volatility (all filters have this) Requires odd window sizes (mathematical requirement) More complex than simple moving averages Best with liquid instruments ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 SCIENTIFIC BACKGROUND Savitzky-Golay Publication: "Smoothing and Differentiation of Data by Simplified Least Squares Procedures" - Abraham Savitzky & Marcel Golay - Analytical Chemistry, Vol. 36, No. 8, 1964 Hampel Filter Origin: "Robust Statistics: The Approach Based on Influence Functions" - Frank Hampel et al., 1986 - Princeton University Press These techniques have been validated in thousands of scientific papers and are standard tools in: NASA's Jet Propulsion Laboratory European Space Agency CERN (Large Hadron Collider) MIT Lincoln Laboratory Max Planck Institutes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 ADVANCED TIPS News Trading: Lower Hampel threshold before major events to catch spikes Scalping: Use Order=2 for maximum smoothness, Window=11 for responsiveness Position Trading: Increase Window to 31+ for long-term trends Combine with Volume: Strong trends need volume confirmation Multiple Timeframes: Use daily for trend, hourly for entry Watch the Derivative: Filter color changes when first derivative changes sign ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTICES Not financial advice - educational purposes only Past performance does not guarantee future results Always use proper risk management Test settings on your specific instrument and timeframe No indicator is perfect - part of complete trading system ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 CONCLUSION The Savitzky-Golay Hampel Filter represents the pinnacle of scientific signal processing applied to financial markets. By combining polynomial regression with robust outlier detection, traders gain access to the same mathematical tools that: Guide spacecraft to other planets Detect gravitational waves from black holes Analyze particle collisions at near light-speed Process signals from deep space This isn't just another indicator - it's rocket science for trading . "When NASA needs to separate signal from noise in billion-dollar missions, they use these exact algorithms. Now you can too." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt Version: 1.0 Release: 2025 Pine Script: v6 "Where Space Technology Meets Market Analysis" Not financial advice. Always DYOR
Penunjuk Pine Script®
oleh AlphaNatt
1
TWAP OscillatorTWAP Oscillator (TOSC) A powerful mean reversion oscillator that measures price deviation from Time-Weighted Average Price (TWAP) in standard deviations, automatically adapting to your chart timeframe. How It Works: The TWAP Oscillator calculates the distance between current price and TWAP, expressed in standard deviations. Unlike VWAP which weights by volume, TWAP gives equal weight to each time period, making it ideal for: • Mean Reversion Trading - Identifies when price is statistically overextended from its time-weighted average • Trend Strength Analysis - Shows how far price has deviated from the TWAP baseline • Entry/Exit Timing - Provides objective levels for trade entries and exits Automatic Timeframe Adaptation: The indicator intelligently selects the appropriate TWAP period based on your chart timeframe: 1m Charts → 1D TWAP (intraday mean reversion) 3m-5m Charts → 7D TWAP (weekly perspective) 15m-1h Charts → 30D TWAP (monthly context) 4h-8h Charts → 90D TWAP (quarterly view) Daily Charts → 365D TWAP (yearly reference) Trading Days vs Calendar Days: Toggle between trading days (5D, 22D, 66D, 252D) or calendar days (7D, 30D, 90D, 365D) to match your analysis style. Divergence Analysis - High Probability Reversals: The most powerful signals occur when price and oscillator diverge at extreme levels: Bullish Divergence (Oversold): • Price makes lower lows • Oscillator makes higher lows • Both at oversold levels (-2 or lower) • Strong buy signal - price weakness not confirmed by TWAP Bearish Divergence (Overbought): • Price makes higher highs • Oscillator makes lower highs • Both at overbought levels (+2 or higher) • Strong sell signal - price strength not confirmed by TWAP Hidden Bullish Divergence: • Price makes higher lows • Oscillator makes lower lows • At oversold levels • Trend continuation signal - pullback in uptrend Hidden Bearish Divergence: • Price makes lower highs • Oscillator makes higher highs • At overbought levels • Trend continuation signal - rally in downtrend Divergence Confluence Zones: Maximum Confluence Setup: • Divergence at extreme levels (±2+ std dev) • Multiple timeframe confirmation • Key support/resistance levels • Volume confirmation • Highest probability reversal Divergence Trading Rules: • Wait for clear divergence formation • Confirm at extreme oscillator levels • Enter on divergence confirmation • Stop loss beyond recent swing • Target return to zero line or opposite extreme Key Features: • Zero Line - Neutral position where price equals TWAP • Overbought/Oversold Levels - Default ±2 standard deviations (customizable) • Smoothing - SMA filter to reduce noise • Info Table - Shows current values and timeframe mapping • Alerts - Zero line crosses and overbought/oversold conditions Trading Applications: Mean Reversion Strategy: • Enter long when oscillator crosses above oversold level (-2) • Enter short when oscillator crosses below overbought level (+2) • Exit when returning to zero line Trend Following: • Stay long while oscillator remains above zero • Stay short while oscillator remains below zero • Use extreme readings as potential reversal signals Risk Management: • Use overbought/oversold levels as stop-loss references • Scale position size based on oscillator magnitude • Combine with other indicators for confirmation Mathematical Foundation: Oscillator = (Current Price - TWAP) / Standard Deviation Where: • TWAP = Time-weighted average price over selected period • Standard Deviation = Statistical measure of price dispersion • Result = Number of standard deviations from mean Best Practices: • Use on higher timeframes for trend analysis • Use on lower timeframes for entry timing • Combine with volume analysis for confirmation • Adjust overbought/oversold levels based on market volatility • Consider market structure and support/resistance levels Perfect For: • Scalping - 1m charts with 1D TWAP • Day Trading - 5m-15m charts with 7D TWAP • Swing Trading - 1h-4h charts with 30D TWAP • Position Trading - Daily charts with 365D TWAP
Penunjuk Pine Script®
oleh mindyourbuisness
Swing Oracle Stock// (\_/) // ( •.•) // (")_(") 📌 Swing Oracle Stock – Professional Cycle & Trend Detection Indicator The Swing Oracle Stock is an advanced market analysis tool designed to highlight price cycles, trend shifts, and key trading zones with precision. It combines trendline dynamics, normalized oscillators, and multi-timeframe confirmation into a single comprehensive indicator. 🔑 Key Features NDOS (Normalized Dynamic Oscillator System): Measures price strength relative to recent highs and lows to detect overbought, neutral, and oversold zones. Dynamic Trendline (EMA8 or SMA231): Flexible source selection for adapting to different trading styles (scalping vs. swing). Multi-Timeframe H1 Confirmation: Adds higher-timeframe validation to improve signal reliability. Automated Buy & Sell Signals: Triggered only on significant crossovers above/below defined levels. Weekly Cycles (7-day M5 projection): Tracks recurring time-based market cycles to anticipate reversal points. Intuitive Visualization: Colored zones (high, low, neutral) for quick market context. Optional background and candlestick coloring for better clarity. Multi-Timeframe Cross Table: Automatically compares SMA50 vs. EMA200 across multiple timeframes (1m → 4h), showing clear status: ⭐️⬆️ UP = bullish trend confirmation 💀⬇️ Drop = bearish trend confirmation 📊 Built-in Statistical Tools Normalized difference between short and long EMA. Projected normalized mean levels plotted directly on the main chart. Dynamic analysis of price distance from SMA50 to capture market “waves.” 🎯 Use Cases Spot trend reversals with multi-timeframe confirmation. Identify powerful breakout and breakdown zones. Time entries and exits based on trend + cycle confluence. Enhance market timing for swing trades, scalps, or long-term positions. ⚡ Swing Oracle Stock brings together cycle detection, oscillator normalization, and multi-timeframe confirmation into one streamlined indicator for traders who want a professional edge.
Penunjuk Pine Script®
oleh FollowtheWhiteRabbitz
Momentum Index [BigBeluga]The Momentum Index is an innovative indicator designed to measure the momentum of price action by analyzing the distribution of positive and negative momentum values over a defined period. By incorporating delta-based calculations and smoothing techniques, it provides traders with a clear and actionable representation of market momentum dynamics. 🔵 Key Features: Delta-Based Momentum Analysis: Calculates the momentum of price by comparing its current state to its value from a defined number of bars back. Inside a loop, it evaluates whether momentum values are above or below zero, producing a delta value that reflects the net momentum direction and intensity. Double EMA Smoothing: Smooths the raw delta-based momentum values with a double EMA filter, reducing noise and providing a clearer trend signal. tmi(len) => sum = 0.0 sum1 = 0.0 above = 0.0 below = 0.0 src_ = src - src for i = 0 to len sum := sum + (src_ > nz(src_ ) ? 1 : -1) sum1 := sum1 + (sum > 0 ? 1 : -1) sum1 := emaEma(sum1, 10) for i = 1 to len above := above + (sum1 > 0 ? 1 : 0) below := below + (sum1 > 0 ? 0 : 1) Directional Momentum Signals: Generates momentum shift signals and displays them on both the oscillator and the main chart: - △ Aqua Triangles: Represent upward momentum shifts. - ▽ Red Triangles: Represent downward momentum shifts. Dynamic Gradient Display: Highlights momentum zones with gradient fills: - Aqua shades for positive momentum (above zero). - Red shades for negative momentum (below zero). Dashboard Display: A dashboard summarizing the count of momentum values above and below zero for the defined period (Sentiment Length e.g. 100), helping traders assess market sentiment at a glance. 🔵 How It Works: The indicator takes price momentum as its source and evaluates the number of momentum values above and below zero within a defined period. The delta calculation aggregates this information, providing a net representation of the prevailing market momentum. A double EMA filter is applied to the delta values, smoothing the momentum line and enhancing signal clarity. Momentum shifts are highlighted with visual signals on the oscillator and price chart, while the gradient display provides a visual representation of intensity. 🔵 Use Cases: Momentum Tracking: Identify whether market momentum is predominantly bullish or bearish. Signal Confirmation: Use chart-based signals to confirm potential trend reversals or continuation. Analyze Market Strength: Leverage the dashboard to quickly assess the distribution of momentum over the chosen period. Overbought/Oversold Conditions: Utilize gradient zones to detect areas of momentum extremes and possible price exhaustion. Momentum Index offers a refined approach to analyzing momentum dynamics, combining delta-based calculations with smoothing techniques and intuitive visuals, making it an essential tool for traders looking to anticipate market movements effectively.
Penunjuk Pine Script®
oleh BigBeluga
4
Artharjan ADXArtharjan ADX (AADX) by Rrahul Desai @Artharjan 📌 Overview The Artharjan ADX (AADX) is an advanced implementation of the Average Directional Index (ADX) with customizable moving averages, momentum thresholds, and visually intuitive grading of bullish and bearish strength. Unlike the standard ADX indicator that only shows trend strength, AADX adds graded bullish/bearish conditions, alerts, smoothed DI signals, histogram visualizations, and background color fills to help traders quickly interpret market conditions. It is designed for traders who want early detection of trend strength, clean visual cues, and automated alert triggers for both bullish and bearish momentum setups. ⚙️ Key Features 🔹 Customizable Calculations DI Length (default 13) – controls sensitivity of directional indicators. +/- DI Smoothing – smooths DI signals with user-selected MA. Multiple Moving Average Types – SMA, EMA, WMA, RMA, VWMA, ALMA, Hull, SWMA, SMMA, TMA. ADX Smoothing – define how smooth/fast the ADX reacts. 🔹 Flexible Display Toggle between line plots or histogram view. Adjustable plot thickness. Option to plot averages of ADX, +DI, -DI for confirmation. Configurable background fills: ADX above/below momentum threshold. ADX rising/falling color shading. Trend-grade based color intensity. 🔹 Momentum & Thresholds Momentum Level (default 25) → defines “strong trend” zone. Crossover Threshold (default 15) → helps detect early DI crossovers. Color-coded histogram bars for +DI vs -DI difference: Above/below zero. Rising/falling momentum. 🔹 Bullish & Bearish Grading System The indicator assigns grades from 1 to 5 for both bullish and bearish setups, based on DI and ADX conditions: Bullish Grades Grade 1 → Very Weak Bullish Grade 2 → Weak Bullish Grade 3 → Moderate Bullish Grade 4 → Strong Bullish Grade 5 → Very Strong Bullish Bearish Grades Grade 1 → Very Weak Bearish Grade 2 → Weak Bearish Grade 3 → Moderate Bearish Grade 4 → Strong Bearish Grade 5 → Very Strong Bearish Labels are automatically plotted above bars to indicate the active grade. 🔹 Alerts Bullish Alert → when +DI crosses above its average below the threshold OR bullish conditions are met. Bearish Alert → when -DI crosses above its average below the threshold OR bearish conditions are met. These alerts make it possible to automate trading signals for scalping, intraday, and swing trading. 📊 Use Cases Trend Strength Measurement Spot when markets shift from range-bound to trending. Confirm the reliability of breakouts with strong ADX readings. Bullish vs Bearish Control Compare +DI vs -DI strength to gauge trend direction. Identify trend reversals early with DI slope changes. Momentum Confirmation Use ADX rising + DI grades to validate trade entries. Filter false breakouts with weak ADX. Trade Grading System Enter aggressively on Grade 4–5 signals. Stay cautious on Grade 1–2 signals. Automated Alerts & Screening Combine AADX alerts with strategy rules. Build scanners to highlight strong ADX setups across multiple stocks. 🎯 Trader’s Advantage More powerful than standard ADX → Adds slope, grading, alerts, and visualization. Adaptable to any style → Works for intraday scalping, swing trading, and positional analysis. Visual clarity → Color fills, histograms, and labels simplify decision-making. Customizable smoothing → Adjusts to fast or slow markets. ✅ Closing Note The Artharjan ADX (AADX) transforms the traditional ADX into a complete trend and momentum analyzer. It helps traders detect, confirm, and act on directional strength with clarity and confidence. With Thanks, Rrahul Desai @Artharjan
Penunjuk Pine Script®
oleh rsdesai005
VXN (NQ100) Implied Move — Bands StrategyVXN (NQ100) Implied Move — Bands Strategy 📌 Overview This strategy uses the 30-day implied volatility from VXN (CBOE:VXN) to build an “implied move” envelope around a EMA computed in the indicator timeframe. The bands act like elastic zones where price stretches and often reverts. Signals trigger when the close re-enters the zone, and exits are managed via opposite band targets, band retests, and/or optional ATR thresholds. All logic confirms on bar close. ⚙️ Key Inputs - Indicator Timeframe (tfInput): timeframe used to sample both the symbol EMA and VXN. - EMA Length (emaLen): center line for the bands. - Multiplier (mult): scales the implied move. - Days (daysLook): horizon in days for square-root-of-time scaling. - Trade Direction: Both / Longs only / Shorts only. - Band TP / Band SL: enable take-profit or stop at bar close when price hits bands. - ATR Stop (SL) & ATR Take Profit (TP): optional ATR-based exits. - Bar Limit (Time Stop): closes a trade after N bars in market. - Prevent PDT: caps day trades within a rolling window. 🧠 Band Construction (core) Compute EMA of price in the Indicator Timeframe. Fetch VXN (close) in the same timeframe. Implied Move (IM) = EMA * (VXN/100) * sqrt(Days/365) * Multiplier. Bands: Upper = EMA + IM Lower = EMA - IM 🚀 Entry Rules (all on bar close) Long: first, the close moves below the lower band (arming). Later, when the close crosses above that band, go long. Short: mirror logic. First, the close moves above the upper band (arming), then the close crosses below that band, go short. 🎯 Exit Logic (first event wins, on bar close) Band Take-Profit: target at the opposite band. Band Stop-Loss: if the close returns to the entry band (lower for longs, upper for shorts). ATR Optional: ATR SL: distance from entry price via multiplier. ATR TP: profit target based on ATR. Time Stop (Bar Limit): forces an exit after a maximum number of bars. 🛡️ Risk Management & Filters Trade Direction: restrict sides (long-only, short-only, or both). Prevent PDT: counts day trades per calendar day and limits them in a rolling window. ATR Stops/TP: useful under higher volatility to control exposure. 🔔 Alerts Includes alerts for entries and exits (bands and ATR). Set them to Once per bar close to align with the close-based logic. 📎 Important Notes EMA and VXN are both computed in the Indicator Timeframe. Signals confirm on bar close only; intrabar confirmation is not used. VXN is essentially daily. If you pick an intraday Indicator Timeframe, TradingView will replicate the last daily value until the next update; the EMA and IM are still computed consistently in that timeframe. Not financial advice. Backtest and adjust before live use. 🧩 Tips - Tune Days and Multiplier to match your trading horizon and sensitivity. - Combine Band TP/SL with ATR SL/TP for hybrid exit management. - For intraday trading, consider a Bar Limit to avoid over-holding.
Strategi Pine Script®
oleh mauricio_a_morales
1
High For Loop | MisinkoMasterThe High For Loop is a new Trend Following tool designed to give traders smooth and fast signals without being too complex, overfit or repainting. It works by finding how many bars have a higher high than the current high, how many have a lower high, and scores it based on that. This provides users with easy and accurate signals, allowing for gaining a large edge in the market. It is pretty simple but you can still play around with it pretty well and improve uppon your strategies. For any backtests using strategies, I left many comments and tried to make it as easy as possible to backtest. Enjoy G´s
Penunjuk Pine Script®
oleh MisinkoMaster
MA-Median For Loop | MisinkoMasterThe MA-Median For Loop is a new Trend Following tool that gives the user smooth yet responsive trend signals, allowing you to see clear and accurate trends by combining the Moving Average & Median in a For Loop concept. How does it work? 1. Select user defined inputs => Adjust it to your liking, everyone can set it to their liking. 2. Calculate the MA and the Median => Simple, but important 3. Calculate the For Loop => For every bar back where the median or ma of that bar is higher than the current median or ma subtract 0.5 from the trend score, and for every bar back where the current median/ma is higher than the previous one add 0.5 to the trend score. This simple yet effective approach enhances speed, decreases noise, and produces accurate signals everyone can utilize to get an edge in the market Enjoy G´s
Penunjuk Pine Script®
oleh MisinkoMaster
Cardwell RSI by TQ📌 Cardwell RSI – Enhanced Relative Strength Index This indicator is based on Andrew Cardwell’s RSI methodology , extending the classic RSI with tools to better identify bullish/bearish ranges and trend dynamics. In uptrends, RSI tends to hold between 40–80 (Cardwell bullish range). In downtrends, RSI tends to stay between 20–60 (Cardwell bearish range). Key Features : Standard RSI with configurable length & source Fast (9) & Slow (45) RSI Moving Averages (toggleable) Cardwell Core Levels (80 / 60 / 40 / 20) – enabled by default Base Bands (70 / 50 / 30) in dotted style Optional custom levels (up to 3) Alerts for MA crosses and level crosses Data Window metrics: RSI vs Fast/Slow MA differences How to Use : Monitor RSI behavior inside Cardwell’s bullish (40–80) and bearish (20–60) ranges Watch RSI crossovers with Fast (9) and Slow (45) MAs to confirm momentum or trend shifts Use levels and alerts as confluence with your trading strategy Default Settings : RSI Length: 14 MA Type: WMA Fast MA: 9 (hidden by default) Slow MA: 45 (hidden by default) Cardwell Levels (80/60/40/20): ON Base Bands (70/50/30): ON
Penunjuk Pine Script®
oleh TradeQUO
1
Renko RSI (Brick-Triggered, Red/Green Only) MODIFIEDhe Renko RSI (Brick-Triggered, Red/Green Only) Modified indicator is a specialized trading tool designed for use with Renko charts, which focus solely on price movements rather than time. This modified version enhances the traditional Renko RSI by triggering signals based on brick formations (price blocks) and uses only red and green colors to indicate trend direction—green for bullish (upward) trends and red for bearish (downward) trends. It integrates the Relative Strength Index (RSI) to identify potential reversals or continuations when Renko bricks change direction, filtering out market noise for clearer trend analysis. The indicator is tailored to highlight high-probability entry and exit points, making it suitable for traders seeking a simplified, visual approach to spotting trends and reversals, especially on assets like crypto on short timeframes such as 15-minute or 1-hour charts.
Penunjuk Pine Script®
oleh donbag
1
Sequential Pattern Strength [QuantAlgo]🟢 Overview The Sequential Pattern Strength indicator measures the power and sustainability of consecutive price movements by tracking unbroken sequences of up or down closes. It incorporates sequence quality assessment, price extension analysis, and automatic exhaustion detection to help traders identify when strong trends are losing momentum and approaching potential reversal or continuation points. 🟢 How It Works The indicator's key insight lies in its sequential pattern tracking system, where pattern strength is measured by analyzing consecutive price movements and their sustainability: if close > close upSequence := upSequence + 1 downSequence := 0 else if close < close downSequence := downSequence + 1 upSequence := 0 The system calculates sequence quality by measuring how "perfect" the consecutive moves are: perfectMoves = math.max(upSequence, downSequence) totalMoves = math.abs(bar_index - ta.valuewhen(upSequence == 1 or downSequence == 1, bar_index, 0)) sequenceQuality = totalMoves > 0 ? perfectMoves / totalMoves : 1.0 First, it tracks price extension from the sequence starting point: priceExtension = (close - sequenceStartPrice) / sequenceStartPrice * 100 Then, pattern exhaustion is identified when sequences become overextended: isExhausted = math.abs(currentSequence) >= maxSequence or math.abs(priceExtension) > resetThreshold * math.abs(currentSequence) Finally, the pattern strength combines sequence length, quality, and price movement with momentum enhancement: patternStrength = currentSequence * sequenceQuality * (1 + math.abs(priceExtension) / 10) enhancedSignal = patternStrength + momentum * 10 signal = ta.ema(enhancedSignal, smooth) This creates a sequence-based momentum indicator that combines consecutive movement analysis with pattern sustainability assessment, providing traders with both directional signals and exhaustion insights for entry/exit timing. 🟢 Signal Interpretation Positive Values (Above Zero): Sequential pattern strength indicating bullish momentum with consecutive upward price movements and sustained buying pressure = Long/Buy opportunities Negative Values (Below Zero): Sequential pattern strength indicating bearish momentum with consecutive downward price movements and sustained selling pressure = Short/Sell opportunities Zero Line Crosses: Pattern transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts when sequences break Upper Threshold Zone: Area above maximum sequence threshold (2x maxSequence) indicating extremely strong bullish patterns approaching exhaustion levels Lower Threshold Zone: Area below negative threshold (-2x maxSequence) indicating extremely strong bearish patterns approaching exhaustion levels
Penunjuk Pine Script®
oleh QuantAlgo
AlphaADX Trend Meter - Enhanced ADX VisualizationTechnical Overview This indicator enhances the traditional Average Directional Index (ADX) with advanced visualization techniques and adaptive threshold management. It demonstrates several Pine Script programming concepts including dynamic color gradients, conditional plotting, and real-time information display systems. Mathematical Methodology Core ADX Calculation Uses standard DMI (Directional Movement Index) calculation: ta.dmi(diLength, adxSmoothing) Applies configurable smoothing to reduce noise while preserving trend signals Maintains mathematical integrity of Welles Wilder's original ADX formula Dynamic Color System Gradient Implementation: pinecolor.from_gradient(adxValue, minThreshold, maxThreshold, startColor, endColor) Color Logic: Strong trends (ADX > 25): Bright colors (green for bullish, red for bearish) Weak trends (15 < ADX ≤ 25): Muted colors with transparency Choppy markets (ADX ≤ 15): Gray coloring to indicate low directional movement Gradient mode creates smooth color transitions based on ADX intensity Adaptive Threshold Framework While maintaining standard ADX interpretation levels, the indicator allows customization of: Strong trend threshold (default: 25) Weak trend threshold (default: 20) Chop zone threshold (default: 15) This flexibility accommodates different market conditions and trading styles. Technical Features 1. Multi-Layer Visualization Primary ADX Line: Color-coded based on strength and direction Histogram Display: Shows ADX momentum with transparency effects Trend Meter Bar: Simplified visual reference at bottom of chart Background Zones: Subtle shading for strong trends and chop zones 2. Signal Generation Automatic Detection: Strong trend emergence (ADX crosses above strong threshold) Chop zone entry warnings (ADX falls below chop threshold) Trend direction changes in strong trending markets Visual Markers: Triangle arrows for strong trend signals Cross markers for chop zone warnings Color-coded based on bullish/bearish bias 3. Information Dashboard Real-time table displaying: Current ADX value with dynamic background coloring Trend status classification (Strong/Weak/Neutral/Choppy) Directional bias (Bullish ↑/Bearish ↓) DI+ and DI- values for detailed analysis 4. Alert System Programmatic alerts for: Strong trend emergence Entry into consolidation zones Trend reversals during strong directional moves Breakouts from choppy conditions Programming Techniques Demonstrated Advanced Pine Script Concepts: Dynamic Color Functions: Custom color selection based on multiple conditions Conditional Plotting: Different visual elements based on user preferences Table Implementation: Real-time information display with formatting Alert Integration: Multiple condition monitoring system Input Validation: Parameter bounds and logical constraints Visual Enhancement Methods: Gradient color transitions for smooth visual feedback Transparency effects to reduce visual clutter Multi-component display system for comprehensive analysis Customizable visual elements for user preference accommodation Educational Value This indicator serves as a learning tool for: Enhanced ADX Implementation: Shows how to extend built-in indicators with additional functionality Visual Design Principles: Demonstrates effective use of colors, transparency, and layout User Interface Development: Table creation and information display techniques Alert System Design: Comprehensive condition monitoring and notification Configuration Options ADX Parameters: ADX Length: Period for directional movement calculation DI Length: Directional indicator smoothing period ADX Smoothing: Additional smoothing for noise reduction Threshold Levels: Strong Trend Level: Threshold for identifying strong directional movement Weak Trend Level: Moderate trend identification threshold Chop Zone Level: Low directional movement threshold Visual Controls: Trend Meter: Toggle bottom reference bar Histogram: Show/hide ADX momentum bars Signal Arrows: Enable/disable trend change markers Info Table: Display/hide real-time information panel Gradient Mode: Switch between smooth gradients and solid colors Use Cases and Applications Market Analysis: Trend Identification: Determine current market directional strength Regime Classification: Distinguish between trending and ranging markets Timing Analysis: Identify optimal periods for trend-following strategies Risk Management: Environment Assessment: Avoid trading during low-ADX choppy periods Position Sizing: Adjust trade size based on trend strength Strategy Selection: Choose appropriate techniques based on market regime Educational Purposes: ADX Understanding: Visual representation of directional movement concepts Pine Script Learning: Example of advanced indicator development techniques Market Behavior: Observation of trend strength patterns across different timeframes Limitations and Considerations Technical Limitations: ADX is a lagging indicator that confirms existing trends rather than predicting them Requires sufficient price movement data for meaningful calculations May generate false signals in very low volatility environments Threshold levels may need adjustment for different asset classes Usage Guidelines: Most effective when combined with other forms of technical analysis Consider market context and fundamental factors Use appropriate timeframes for intended trading approach Regular parameter review for optimal performance Performance Notes: Calculations optimized for real-time analysis Visual elements designed to minimize chart clutter Alert system prevents excessive notifications through condition filtering Disclaimer This indicator is designed for educational and analytical purposes. It demonstrates enhanced visualization of the ADX indicator and various Pine Script programming techniques. Users should understand that past performance does not guarantee future results and should always employ proper risk management practices. The indicator should be used as part of a comprehensive trading approach rather than as a standalone decision-making tool.
Penunjuk Pine Script®
oleh AlphaEdge_
AlphaRSI Pro - Adaptive RSI with Trend AnalysisOverview AlphaRSI Pro is a technical analysis indicator that enhances the traditional RSI by incorporating adaptive overbought/oversold levels, trend bias analysis, and divergence detection. This indicator addresses common limitations of standard RSI implementations through mathematical adaptations to market volatility. Technical Methodology 1. Smoothed RSI Calculation Applies weighted moving average smoothing to standard RSI(14) Reduces noise while preserving momentum signals Configurable smoothing period (default: 3) 2. Adaptive Level System Mathematical Approach: Calculates ATR-based volatility ratio: volatility_ratio = current_ATR / average_ATR Applies dynamic adjustment: adaptive_level = base_level ± (volatility_ratio - 1) × 20 Bounds levels between practical ranges (15-35 for oversold, 65-85 for overbought) Purpose: Adjusts RSI sensitivity based on current market volatility conditions rather than using fixed 70/30 levels. 3. Trend Bias Integration Uses Simple Moving Average slope analysis over configurable period Calculates trend strength: |slope / price| × 100 Provides visual background shading for trend context Filters RSI signals based on underlying price trend direction 4. Signal Generation Logic Entry Conditions: Bullish: RSI crosses above adaptive oversold level Bearish: RSI crosses below adaptive overbought level Strong signals: Include trend bias confirmation Enhancement over standard RSI: Reduces false signals in choppy markets by requiring trend alignment for "strong" signals. 5. Divergence Detection Automated identification of regular bullish/bearish divergences Uses 5-bar lookback for pivot detection Compares price highs/lows with corresponding RSI highs/lows Plots divergence markers when conditions are met Key Features Real-time adaptive levels based on volatility Trend-filtered signals to improve reliability Built-in divergence scanner Information dashboard showing current values Comprehensive alert system Clean visual presentation with customizable colors Usage Guidelines This indicator works best when: Combined with proper risk management Used in conjunction with other technical analysis Applied to liquid markets with sufficient volatility data Configured appropriately for the selected timeframe Input Parameters RSI Period: Standard RSI calculation length (default: 14) Smoothing Period: WMA smoothing for noise reduction (default: 3) Volatility Lookback: Period for ATR volatility calculation (default: 50) Base OB/OS Levels: Starting points for adaptive adjustment (70/30) Trend Period: Moving average length for trend bias (default: 21) Alert Conditions Bullish Signal: RSI crosses above adaptive oversold Bearish Signal: RSI crosses below adaptive overbought Strong Bullish/Bearish: Signals with trend confirmation Divergence Alerts: Automated divergence detection Educational Value This indicator demonstrates several advanced Pine Script concepts: Dynamic level calculation using mathematical formulas Multi-timeframe analysis integration Conditional signal filtering based on market state Table display for real-time information Comprehensive alert system implementation Limitations Requires sufficient historical data for volatility calculations May generate fewer signals in very low volatility environments Trend bias effectiveness depends on selected MA period Divergences may not always lead to immediate reversals Disclaimer This indicator is for educational and analysis purposes. Past performance does not guarantee future results. Always use proper risk management and consider multiple forms of analysis before making trading decisions.
Penunjuk Pine Script®
oleh AlphaEdge_
ADX MTF mura visionOverview ADX MTF — mura vision measures trend strength and visualizes a higher-timeframe (HTF) ADX on any chart. The current-TF ADX is drawn as a line; the HTF ADX is rendered as “step” segments to reflect closed HTF bars without repainting. Optional soft fills highlight the 20–25 (trend forming) and 40–50 (strong trend) zones. How it works ADX (current TF) : Classic Wilder formulation using DI components and RMA smoothing. HTF ADX : Requested via request.security(..., lookahead_off, gaps_off). When a new HTF bar opens, the previous value is frozen as a horizontal segment. The current HTF bar is shown as a live moving segment. This staircase look is expected on lower timeframes. Auto timeframe mapping If “Auto” is selected, the HTF is derived from the chart TF: <30m → 60m, 30–<240m → 240m, 240m–<1D → 1D, 1D → 1W, 1W/2W → 1M, ≥1M → same. Inputs DI Length and ADX Smoothing — core ADX parameters. Higher Time Frame — Auto or a fixed TF. Line colors/widths for current ADX and HTF ADX. Fill zone 20–25 and Fill zone 40–50 — optional light background fills. Number of HTF ADX Bars — limits stored HTF segments to control chart load. Reading the indicator ADX < 20: typically range-bound conditions; trend setups require extra caution. 20–25: trend emergence; breakouts and continuation structures gain validity. 40–50: strong trend; favor continuation and manage with trailing stops. >60 and turning down: possible trend exhaustion or transition toward range. Note: ADX measures strength, not direction. Combine with your directional filter (e.g., price vs. MA, +DI/−DI, structure/levels). Non-repainting behavior HTF values use lookahead_off; closed HTF bars are never revised. The only moving piece is the live segment for the current HTF bar. Best practices Use HTF ADX as a regime filter; time entries with the current-TF ADX rising through your threshold. Pair with ATR-based stops and a MA/structure filter for direction. Consider higher thresholds on highly volatile altcoins. Performance notes The script draws line segments for HTF bars. If your chart becomes heavy, reduce “Number of HTF ADX Bars.” Disclaimer This script is for educational purposes only and does not constitute financial advice. Trading involves risk.
Penunjuk Pine Script®
oleh trading_mura
RSI Multi Time FrameWhat it is A clean, two-layer RSI that shows your chart-timeframe RSI together with a higher-timeframe (HTF) RSI on the same pane. The HTF line is drawn as a live segment plus frozen “steps” for each completed HTF bar, so you can see where the higher timeframe momentum held during your lower-timeframe bars. How it works Auto HTF mapping (when “Auto” is selected): Intraday < 30m → uses 60m (1-hour) RSI 30m ≤ tf < 240m (4h) → uses 240m (4-hour) RSI 240m ≤ tf < 1D → uses 1D RSI 1D → uses 1W RSI 1W or 2W → uses 1M RSI ≥ 1M → keeps the same timeframe The HTF series is requested with request.security(..., gaps_off, lookahead_off), so values are confirmed bar-by-bar. When a new HTF bar begins, the previous value is “frozen” as a horizontal segment; the current HTF value is shown by a short moving segment and a small dot (so you can read the last value easily). Visuals Current RSI (chart TF): solid line (color/width configurable). HTF RSI: same-pane line + tiny circle for the latest value; historical step segments show completed HTF bars. Guides: dashed 70 / 30 bands, dotted 60/40 helpers, dashed 50 midline. Inputs Higher Time Frame: Auto or a fixed TF (1, 3, 5, 10, 15, 30, 45, 60, 120, 180, 240, 360, 480, 720, D, W, 2W, M, 3M, 6M, 12M). Length: RSI period (default 14). Source: price source for RSI. RSI / HTF RSI colors & widths. Number of HTF RSI Bars: how many frozen HTF segments to keep. Reading it Alignment: When RSI (current TF) and HTF RSI both push in the same direction, momentum is aligned across frames. Divergence across frames: Current RSI failing to confirm HTF direction can warn about chops or early slowdowns. Zones: 70/30 boundaries for classic overbought/oversold; 60/40 can be used as trend bias rails; 50 is the balance line. This is a context indicator, not a signal generator. Combine with your entry/exit rules. Notes & limitations HTF values do not repaint after their bar closes (lookahead is off). The short “live” segment will evolve until the HTF bar closes — this is expected. Very small panels or extremely long histories may impact performance if you keep a large number of HTF segments. Credits Original concept by LonesomeTheBlue; Pine v6 refactor and auto-mapping rules by trading_mura. Suggested use Day traders: run the indicator on 5–15m and keep HTF on Auto to see 1h/4h momentum. Swing traders: run it on 1h–4h and watch the daily HTF. Position traders: run on daily and watch the weekly HTF. If you find it useful, a ⭐ helps others discover it.
Penunjuk Pine Script®
oleh trading_mura
Top and Bottom Probability The top and bottom probability oscillator is an educational indicator that estimates the probability of a local top or bottom using four ingredients: price extension since the last RSI overbought/oversold, time since that OB/OS event, RSI divergence strength, Directional Momentum Velocity (DMV) — a normalized, signed trend velocity. It plots RSI, two probability histograms (Top %, Bottom %), and an optional 0–100 velocity gauge. How to read it RSI & Levels: Standard RSI with OB/OS lines (70/30 by default). Prob Top (%): Red histogram, 0–100. Higher values suggest increasing risk of a local top after an RSI overbought anchor. Prob Bottom (%): Green histogram, 0–100. Higher values suggest increasing chance of a local bottom after an RSI oversold anchor. Velocity (0–100): Optional line. Above 50 = positive/upward DMV; below 50 = negative/downward DMV. DMV pushes Top risk when trending down and Bottom chance when trending up. These are composite, scale-free scores, not certainties or trade signals. What the probabilities consider Price Delta: How far price has moved beyond the last OB (for tops) or below the last OS (for bottoms). More extension → higher probability. Time Since OB/OS: Longer time since the anchor → higher probability (until capped by the “Time Normalization (bars)” input). Oscillator Divergence: RSI pulling away from its last OB/OS reading in the opposite direction implies weakening momentum and increases probability. Directional Momentum Velocity (DMV): Computes a regression slope of hlc3 vs. bar index, normalized by ATR, then squashed with tanh. Downward DMV boosts Top probability; upward DMV boosts Bottom probability. Toggle the velocity plot and adjust its sensitivity with Velocity Lookback, ATR Length, and Velocity Gain. All four terms are blended with user-set weights. If Normalize Weights is ON, weights are rescaled to sum to 1. Inputs (most useful) RSI Length / OB / OS: Core RSI setup. Time Normalization (bars): Sets how quickly the “time since OB/OS” term ramps from 0→1. Weights: Price Delta, Time Since OB/OS, Osc Divergence, Directional Velocity. Turn Normalize Weights ON to keep the blend consistent when you experiment. Settings: Velocity Lookback: Window for slope estimation (shorter = more reactive). ATR Length: Normalizes slope so symbols/timeframes are comparable. Velocity Gain: Steepens or softens the tanh curve (higher = punchier extremes). Show Velocity (0–100): Toggles the DMV display. Tip: If you prefer momentum measured on RSI rather than price, in the DMV block replace hlc3 with rsi (concept stays identical). Practical tips Use Top/Bottom % as context, not triggers. Combine with structure (S/R), trend filters, and risk management. On strong trends, expect the opposite probability (e.g., Top % during an uptrend) to stay suppressed longer. Calibrate weights: e.g., raise Osc Divergence on mean-reversion symbols; raise Velocity in trending markets. For lower noise: lengthen Velocity Lookback and ATR Length, or reduce Velocity Gain.
Penunjuk Pine Script®
oleh Cmo22