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Rsidivergence

RSI Divergence v6RSI Divergence Band (Close inside High/Low) This indicator is an advanced RSI visualization designed to show real-time momentum dynamics inside a controlled RSI range. Unlike the standard RSI, this script builds a dynamic RSI band based on RSI calculated from High and Low prices, while ensuring that RSI based on Close always stays inside the band. 🔹 How it works RSI is calculated separately for: Close price (main signal line) High price Low price The High/Low RSI values form a dynamic envelope The band is automatically adjusted so the RSI Close line is always inside it All values update on the live bar as price changes 🔹 Why this is useful Visualizes intrabar pressure and volatility Helps identify compression and expansion of momentum Improves divergence analysis Especially useful for scalping and short-term trading 🔹 Features RSI length customization Optional High/Low RSI band Adjustable RSI levels (20 / 50 / 80 by default) Clean and minimal visual design No repainting on closed bars 🔹 Best use cases Divergence trading Momentum analysis Scalping strategies Market structure confirmation
Penunjuk Pine Script®
oleh Benepamm
Auto-DCF and Margin of Safety SetupDescription Overview This indicator provides a dual-layered approach to stock valuation by combining a Discounted Cash Flow (DCF) model with Technical Momentum filters. It is designed for investors who seek to align fundamental "Fair Value" with high-probability technical entry points. How It Works The script automates the valuation process by fetching real-time financial data directly from TradingView’s database. Fundamental Valuation (DCF): FCF Projections: It retrieves Free Cash Flow (TTM) and Total Shares Outstanding to calculate FCF per share. Growth & Discounting: It projects FCF forward for 10 years based on your "Expected Annual Growth Rate" and discounts those values back to the present using the "Discount Rate" (WACC). Terminal Value: A terminal value is calculated using a exit multiple (P/FCF) at Year 10 to account for the company's value beyond the projection period. Intrinsic Value: The sum of all discounted cash flows and the terminal value represents the Intrinsic (Fair) Value, plotted as gray circles. Margin of Safety (MoS): A "Buy Limit" line (green) is plotted at a user-defined percentage below the Intrinsic Value. This represents the "Margin of Safety" popularized by Benjamin Graham to account for errors in estimation. Technical Filters (The "Buy Setup"): A visual Buy Zone appears only when three conditions align: Value: Price is trading below the Margin of Safety. Momentum: The RSI is in "Oversold" territory (default < 35). Price Action: The stock is in a "Deep Pullback" (defined as a 15% drop from its 50-bar high). How to Use Settings: You must adjust the Growth Rate and Discount Rate based on the specific company’s historical performance and risk profile. Visuals: When a setup occurs, the script draws a green box, a technical Stop Loss (based on a buffer below the low), and a Tech Target (a 50% retracement of the recent drop). Limitations: This script requires request.financial data. It is intended for Stocks only. If no financial data is available for a ticker (e.g., Crypto or Forex), an error label will appear. Disclaimer This script is for educational purposes only and does not constitute financial advice. DCF models are highly sensitive to input variables; small changes in growth or discount rates can significantly alter the Fair Value.
Penunjuk Pine Script®
oleh TheTankTrades
RSI_RDRSI_RD - RSI Divergence Detector (Ryan DeBraal) This script plots a standard RSI along with advanced automatic divergence detection. It identifies four types of divergences using pivot logic and configurable lookback windows. Signals appear directly on the RSI line as plotted marks and labels. FEATURES - Standard RSI with user-defined length and source. - Midline (50), overbought (70), and oversold (30) levels with shaded background. - Automatic detection of: • Regular Bullish Divergence • Regular Bearish Divergence • Hidden Bullish Divergence • Hidden Bearish Divergence - Each divergence type can be toggled on/off individually. - Pivot-based detection using left/right lookback lengths. - Range filter (bars since pivot) to avoid stale or invalid divergences. - Colored markers and labels placed exactly on pivot points. - Alerts for all four divergence conditions. PURPOSE This indicator makes RSI divergence trading systematic and visual. It highlights when price action disagrees with RSI momentum — often signaling exhaustion, reversal setups, or continuation opportunities depending on the divergence type. Ideal for combining with trend filters, VWAP, or ORB structures.
Penunjuk Pine Script®
oleh ryandebraal
SNP420/RSI_GOD_KOMPLEXRSI_GOD_KOMPLEX is a multi–timeframe RSI scanner for TradingView that displays a compact table in the top-right corner of the chart. For each timeframe (1m, 5m, 15m, 30m, 1h, 4h, 1d) it tracks the fast RSI line (not the smoothed/main one) and marks BUY in green when RSI crosses up through 30 (leaving oversold territory) and SELL in red when RSI crosses down through 70 (leaving overbought territory), always using only closed candles for reliable, non-repainting signals. The indicator remembers the last valid signal per timeframe, so the table always shows the most recent directional impulse from RSI across all selected timeframes on the same instrument. author: SNP420 + Jarvis project: FNXS ps: piece and love
Penunjuk Pine Script®
oleh SNP_420
RSI Forecast Colorful [DiFlip]RSI Forecast Colorful Introducing one of the most complete RSI indicators available — a highly customizable analytical tool that integrates advanced prediction capabilities. RSI Forecast Colorful is an evolution of the classic RSI, designed to anticipate potential future RSI movements using linear regression. Instead of simply reacting to historical data, this indicator provides a statistical projection of the RSI’s future behavior, offering a forward-looking view of market conditions. ⯁ Real-Time RSI Forecasting For the first time, a public RSI indicator integrates linear regression (least squares method) to forecast the RSI’s future behavior. This innovative approach allows traders to anticipate market movements based on historical trends. By applying Linear Regression to the RSI, the indicator displays a projected trendline n periods ahead, helping traders make more informed buy or sell decisions. ⯁ Highly Customizable The indicator is fully adaptable to any trading style. Dozens of parameters can be optimized to match your system. All 28 long and short entry conditions are selectable and configurable, allowing the construction of quantitative, statistical, and automated trading models. Full control over signals ensures precise alignment with your strategy. ⯁ Innovative and Science-Based This is the first public RSI indicator to apply least-squares predictive modeling to RSI calculations. Technically, it incorporates machine-learning logic into a classic indicator. Using Linear Regression embeds strong statistical foundations into RSI forecasting, making this tool especially valuable for traders seeking quantitative and analytical advantages. ⯁ Scientific Foundation: Linear Regression Linear regression is a fundamental statistical method that models the relationship between a dependent variable y and one or more independent variables x. The general formula for simple linear regression is: y = β₀ + β₁x + ε where: y  = predicted variable (e.g., future RSI value) x  = explanatory variable (e.g., bar index or time) β₀ = intercept (value of y when x = 0) β₁ = slope (rate of change of y relative to x) ε   = random error term The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the RSI projection based on recent trends. ⯁ Least Squares Estimation To minimize the error between predicted and observed values, we use the formulas: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables. ⯁ Linear Regression in Machine Learning Linear regression is a foundational component of supervised learning. Its simplicity and precision in numerical prediction make it essential in AI, predictive algorithms, and time-series forecasting. Applying regression to RSI is akin to embedding artificial intelligence inside a classic indicator, adding a new analytical dimension. ⯁ Visual Interpretation Imagine a time series of RSI values like this: Time → RSI    → The regression line smooths these historical values and projects itself n periods forward, creating a predictive trajectory. This projected RSI line can cross the actual RSI, generating sophisticated entry and exit signals. In summary, the RSI Forecast Colorful indicator provides both the current RSI and the forecasted RSI, allowing comparison between past and future trend behavior. ⯁ Summary of Scientific Concepts Used Linear Regression: Models relationships between variables using a straight line. Least Squares: Minimizes squared prediction errors for optimal fit. Time-Series Forecasting: Predicts future values from historical patterns. Supervised Learning: Predictive modeling based on known output values. Statistical Smoothing: Reduces noise to highlight underlying trends. ⯁ Why This Indicator Is Revolutionary Scientifically grounded: Built on statistical and mathematical theory. First of its kind: The first public RSI with least-squares predictive modeling. Intelligent: Incorporates machine-learning logic into RSI interpretation. Forward-looking: Generates predictive, not just reactive, signals. Customizable: Exceptionally flexible for any strategic framework. ⯁ Conclusion By combining RSI and linear regression, the RSI Forecast Colorful allows traders to predict market momentum rather than simply follow it. It's not just another indicator: it's a scientific advancement in technical analysis technology. Offering 28 configurable entry conditions and advanced signals, this open-source indicator paves the way for innovative quantitative systems. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What Is RSI? The RSI (Relative Strength Index) is a technical indicator developed by J. Welles Wilder. It measures the velocity and magnitude of recent price movements to identify overbought and oversold conditions. The RSI ranges from 0 to 100 and is commonly used to identify potential reversals and evaluate trend strength. ⯁ How RSI Works RSI is calculated from average gains and losses over a set period (commonly 14 bars) and plotted on a 0–100 scale. It consists of three key zones: Overbought: RSI above 70 may signal an overbought market. Oversold: RSI below 30 may signal an oversold market. Neutral Zone: RSI between 30 and 70, indicating no extreme condition. These zones help identify potential price reversals and confirm trend strength. ⯁ Entry Conditions All conditions below are fully customizable and allow detailed control over entry signal creation. 📈 BUY 🧲 Signal Validity: Signal remains valid for X bars. 🧲 Signal Logic: Configurable using AND or OR. 🧲 RSI > Upper 🧲 RSI < Upper 🧲 RSI > Lower 🧲 RSI < Lower 🧲 RSI > Middle 🧲 RSI < Middle 🧲 RSI > MA 🧲 RSI < MA 🧲 MA > Upper 🧲 MA < Upper 🧲 MA > Lower 🧲 MA < Lower 🧲 RSI (Crossover) Upper 🧲 RSI (Crossunder) Upper 🧲 RSI (Crossover) Lower 🧲 RSI (Crossunder) Lower 🧲 RSI (Crossover) Middle 🧲 RSI (Crossunder) Middle 🧲 RSI (Crossover) MA 🧲 RSI (Crossunder) MA 🧲 MA (Crossover)Upper 🧲 MA (Crossunder)Upper 🧲 MA (Crossover) Lower 🧲 MA (Crossunder) Lower 🧲 RSI Bullish Divergence 🧲 RSI Bearish Divergence 🔮 RSI (Crossover) Forecast MA 🔮 RSI (Crossunder) Forecast MA 📉 SELL 🧲 Signal Validity: Signal remains valid for X bars. 🧲 Signal Logic: Configurable using AND or OR. 🧲 RSI > Upper 🧲 RSI < Upper 🧲 RSI > Lower 🧲 RSI < Lower 🧲 RSI > Middle 🧲 RSI < Middle 🧲 RSI > MA 🧲 RSI < MA 🧲 MA > Upper 🧲 MA < Upper 🧲 MA > Lower 🧲 MA < Lower 🧲 RSI (Crossover) Upper 🧲 RSI (Crossunder) Upper 🧲 RSI (Crossover) Lower 🧲 RSI (Crossunder) Lower 🧲 RSI (Crossover) Middle 🧲 RSI (Crossunder) Middle 🧲 RSI (Crossover) MA 🧲 RSI (Crossunder) MA 🧲 MA (Crossover)Upper 🧲 MA (Crossunder)Upper 🧲 MA (Crossover) Lower 🧲 MA (Crossunder) Lower 🧲 RSI Bullish Divergence 🧲 RSI Bearish Divergence 🔮 RSI (Crossover) Forecast MA 🔮 RSI (Crossunder) Forecast MA 🤖 Automation All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies. ⯁ Unique Features Linear Regression Forecast Signal Validity: Keep signals active for X bars Signal Logic: AND/OR configuration Condition Table: BUY/SELL Condition Labels: BUY/SELL Chart Labels: BUY/SELL markers above price Automation & Alerts: BUY/SELL Background Colors: bgcolor Fill Colors: fill Linear Regression Forecast Signal Validity: Keep signals active for X bars Signal Logic: AND/OR configuration Condition Table: BUY/SELL Condition Labels: BUY/SELL Chart Labels: BUY/SELL markers above price Automation & Alerts: BUY/SELL Background Colors: bgcolor Fill Colors: fill
Penunjuk Pine Script®
oleh DiFlip
2
Weighted RSI DivergenceWeighted RSI Divergence A powerful divergence engine that grades every RSI divergence by strength, context, and confluence — helping you filter noise and focus only on the highest-probability reversal setups. This script combines RSI divergences with five confirmation layers to produce confidence-weighted signals, clearer trade decisions, and alert-ready setups for both bullish and bearish reversals. What This Indicator Detects Bullish Divergence → Price makes a lower low while RSI makes a higher low Bearish Divergence → Price makes a higher high while RSI makes a lower high Confirmation Factors (Each Adds +1 to the Score) Volume Spike: Above-average volume on the divergence bar Trend Alignment: Divergence occurs in harmony with higher-timeframe trend dynamics Key Level Proximity: Price tests significant support or resistance Momentum Extremes: RSI reaches oversold/overbought thresholds Candle Reversal Pattern: Engulfing, pin bar, or similar reversal structure Confidence Scoring 1–2 → Low Confidence (gray) 3 → Medium Confidence (yellow) 4–5 → High Confidence (green/red) Higher scores = higher-probability setups. Visual Components RSI plot with dynamic gradient coloring Divergence lines mapped to RSI pivots Signal labels showing confidence + factors Background highlighting for high-confidence events Real-time confidence meter for active bar conditions Optional data table for factor-by-factor breakdown Alerts Included High-confidence bullish & bearish divergences Medium-confidence signals Any divergence meeting your minimum threshold Best Practices Prioritize setups with 4 or 5 confirmations Use higher timeframes (4H, 1D, 1W) for more reliable signals Combine with market structure and price action (S/R, HTF trend, liquidity zones) Counter-trend divergences require stronger scores to validate Final Notes This script focuses on clarity, risk reduction, and selective trade timing. The confidence system helps distinguish weak divergences from high-probability reversal conditions — giving traders a structured, repeatable edge.
Penunjuk Pine Script®
oleh kingthies
Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide Table of Contents 1. Overview 2. Indicator Components 3. Signal Interpretation 4. Live Market Analysis Guide 5. Best Practices 6. Limitations and Considerations 7. Risk Disclaimer ________________________________________ Overview The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities. Key Features: • Multi-Indicator Analysis: Combines 20+ technical indicators • Real-Time Dashboard: Professional interface with customizable display • Signal Aggregation: Weighted scoring system for overall market sentiment • Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis • Visual Progress Indicators: Easy-to-read progress bars for signal strength ________________________________________ Indicator Components 1. Oscillators Section Purpose: Identifies overbought/oversold conditions and momentum changes Included Indicators: • RSI (14): Relative Strength Index - momentum oscillator • Stochastic (14): Compares closing price to price range • CCI (20): Commodity Channel Index - cycle identification • Williams %R (14): Momentum indicator similar to Stochastic • MACD (12,26,9): Moving Average Convergence Divergence • Momentum (10): Rate of price change • ROC (9): Rate of Change • Bollinger Bands (20,2): Volatility-based indicator Signal Interpretation: • Strong Buy (6+ points): Multiple oscillators indicate oversold conditions • Buy (2-5 points): Moderate bullish momentum • Neutral (-1 to 1 points): Balanced conditions • Sell (-2 to -5 points): Moderate bearish momentum • Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions 2. Moving Averages Section Purpose: Determines trend direction and strength Included Indicators: • SMA: 10, 20, 50, 100, 200 periods • EMA: 10, 20, 50 periods Signal Logic: • Price >2% above MA = Strong Buy (+2) • Price above MA = Buy (+1) • Price below MA = Sell (-1) • Price >2% below MA = Strong Sell (-2) Signal Interpretation: • Strong Buy (6+ points): Price well above multiple MAs, strong uptrend • Buy (2-5 points): Price above most MAs, bullish trend • Neutral (-1 to 1 points): Mixed MA signals, consolidation • Sell (-2 to -5 points): Price below most MAs, bearish trend • Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend 3. Order Block Analysis Purpose: Identifies institutional support/resistance levels and breakouts How It Works: • Detects historical levels where large orders were placed • Monitors price behavior around these levels • Identifies breakouts from established order blocks Signal Types: • BULLISH BRK (+2): Breakout above resistance order block • BEARISH BRK (-2): Breakdown below support order block • ABOVE SUP (+1): Price holding above support • BELOW RES (-1): Price rejected at resistance • NEUTRAL (0): No significant order block interaction 4. Supertrend Analysis Purpose: Trend following indicator based on Average True Range Parameters: • ATR Period: 10 (default) • ATR Multiplier: 6.0 (default) Signal Types: • BULLISH (+2): Price above Supertrend line • BEARISH (-2): Price below Supertrend line • NEUTRAL (0): Transition period 5. Trendline/Channel Analysis Purpose: Identifies trend channels and breakout patterns Components: • Dynamic trendline calculation using pivot points • Channel width based on historical volatility • Breakout detection algorithm Signal Types: • UPPER BRK (+2): Breakout above upper channel • LOWER BRK (-2): Breakdown below lower channel • ABOVE MID (+1): Price above channel midline • BELOW MID (-1): Price below channel midline 6. Volume Analysis Purpose: Confirms price movements with volume data Components: • Volume spikes detection • On Balance Volume (OBV) • Volume Price Trend (VPT) • Money Flow Index (MFI) • Accumulation/Distribution Line Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements. ________________________________________ Signal Interpretation Overall Summary Signals The indicator aggregates all component signals into an overall market sentiment: Signal Score Range Interpretation Action STRONG BUY 10+ Overwhelming bullish consensus Consider long positions BUY 4-9 Moderate to strong bullish bias Look for long opportunities NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities STRONG SELL -10+ Overwhelming bearish consensus Consider short positions Progress Bar Interpretation • Filled bars indicate signal strength • Green bars: Bullish signals • Red bars: Bearish signals • More filled bars = stronger conviction ________________________________________ Live Market Analysis Guide Step 1: Initial Assessment 1. Check Overall Summary: Start with the main signal 2. Verify with Component Analysis: Ensure signals align 3. Look for Divergences: Identify conflicting signals Step 2: Timeframe Analysis 1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading 2. Multi-Timeframe Confirmation: Check higher timeframes for trend context 3. Entry Timing: Use lower timeframes for precise entry points Step 3: Signal Confirmation Process. For Buy Signals: 1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20) 2. Moving Averages: Price should be above key MAs 3. Order Blocks: Confirm bounce from support levels 4. Volume: Check for accumulation patterns 5. Supertrend: Ensure bullish trend alignment. For Sell Signals: 1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80) 2. Moving Averages: Price should be below key MAs 3. Order Blocks: Confirm rejection at resistance levels 4. Volume: Check for distribution patterns 5. Supertrend: Ensure bearish trend alignment. Step 4: Risk Management Integration 1. Signal Strength Assessment: Stronger signals = larger position size 2. Stop Loss Placement: Use Order Block levels for stops 3. Take Profit Targets: Based on channel analysis and resistance levels 4. Position Sizing: Adjust based on signal confidence ________________________________________ Best Practices Entry Strategies 1. High Conviction Entries: Wait for STRONG BUY/SELL signals 2. Confluence Trading: Look for multiple components aligning 3. Breakout Trading: Use Order Block and Trendline breakouts 4. Trend Following: Align with Supertrend direction. Risk Management 1. Never Risk More Than 2% Per Trade: Regardless of signal strength 2. Use Stop Losses: Place at invalidation levels 3. Scale Positions: Stronger signals warrant larger (but still controlled) positions 4. Diversification: Don't rely solely on one indicator. Market Conditions 1. Trending Markets: Focus on Supertrend and MA signals 2. Range-Bound Markets: Emphasize Oscillator and Order Block signals 3. High Volatility: Reduce position sizes, widen stops 4. Low Volume: Be cautious of breakout signals. Common Mistakes to Avoid 1. Signal Chasing: Don't enter after signals have already moved significantly 2. Ignoring Context: Consider overall market conditions 3. Overtrading: Wait for high-quality setups 4. Poor Risk Management: Always use appropriate position sizing ________________________________________ Limitations and Considerations Technical Limitations 1. Lagging Nature: All technical indicators are based on historical data 2. False Signals: No indicator is 100% accurate 3. Market Regime Changes: Indicators may perform differently in various market conditions 4. Whipsaws: Possible in choppy, sideways markets. Optimal Use Cases 1. Trending Markets: Performs best in clear trending environments 2. Medium to High Volatility: Requires sufficient price movement for signals 3. Liquid Markets: Works best with adequate volume and tight spreads 4. Multiple Timeframe Analysis: Most effective when used across different timeframes. When to Use Caution 1. Major News Events: Fundamental analysis may override technical signals 2. Market Opens/Closes: Higher volatility can create false signals 3. Low Volume Periods: Signals may be less reliable 4. Holiday Trading: Reduced participation affects signal quality ________________________________________ Risk Disclaimer IMPORTANT LEGAL DISCLAIMER FROM aiTrendview WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms: No Investment Advice • The Indicator does NOT constitute investment advice, financial advice, or trading recommendations • All signals generated are based on historical price data and mathematical calculations • Past performance does not guarantee future results • No representation is made that any account will achieve profits or losses similar to those shown. Risk Acknowledgment • TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital • LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment • MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile • TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades. User Responsibility • YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences • CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions • CONSULT PROFESSIONALS: Seek advice from qualified financial advisors • RISK MANAGEMENT: Implement appropriate risk management strategies No Warranties • The Indicator is provided "AS IS" without warranties of any kind • aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator • Technical glitches, data feed issues, or calculation errors may occur • The Indicator may not work as expected in all market conditions. Limitation of Liability • aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages • This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures • MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any) Code Usage and Distribution • This indicator is published on TradingView in accordance with TradingView's house rules • UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited • Users may not claim ownership of this intellectual property • Commercial use requires explicit written permission from aiTrendview. Compliance and Regulations • VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws • Some trading strategies may not be suitable for all investors • Tax implications of trading are your responsibility • Report trading activities as required by law Specific Risk Factors 1. False Signals: The Indicator may generate incorrect buy/sell signals 2. Market Gaps: Overnight gaps can invalidate technical analysis 3. Fundamental Events: News and economic data can override technical signals 4. Liquidity Risk: Some markets may have insufficient liquidity 5. Technology Risk: Platform failures or connectivity issues may prevent order execution. Professional Trading Warning • THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading • NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority • EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts FINAL WARNING NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading: 1. Practice on paper/demo accounts extensively 2. Start with small position sizes 3. Develop a comprehensive trading plan 4. Implement strict risk management rules 5. Continuously educate yourself about market dynamics By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes. Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only. ________________________________________ This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator. Document Version: 1.0 Publisher: aiTrendview ________________________________________ Disclaimer The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
RSI Divergence Strategy v6 What this does Detects regular and hidden divergences between price and RSI using confirmed RSI pivots. Adds RSI@pivot entry gates, a normalized strength + volume filter, optional volume gate, delayed entries, and transparent risk management with rigid SL and activatable trailing. Visuals are throttled for clarity and include a gap-free horizontal RSI gradient. How it works (simple) 🧮 RSI is calculated on your selected source/period. 📌 RSI pivots are confirmed with left/right lookbacks (lbL/lbR). A pivot becomes final only after lbR bars; before that, it can move (expected). 🔎 The latest confirmed pivot is compared against the previous confirmed pivot within your bar window: • Regular Bullish = price lower low + RSI higher low • Hidden Bullish = price higher low + RSI lower low • Regular Bearish = price higher high + RSI lower high • Hidden Bearish = price lower high + RSI higher high 💪 Each divergence gets a strength score that multiplies price % change, RSI change, and a volume ratio (Volume SMA / Baseline Volume SMA). • Set Min divergence strength to filter tiny/noisy signals. • Turn on the volume gate to require volume ratio ≥ your threshold (e.g., 1.0). 🎯 RSI@pivot gating: • Longs only if RSI at the bullish pivot ≤ 30 (default). • Shorts only if RSI at the bearish pivot ≥ 70 (default). ⏱ Entry timing: • Immediate: on divergence confirm (delay = 0). • Delayed: after N bars if RSI is still valid. • RSI-only mode: ignore divergences; use RSI thresholds only. 🛡 Risk: • Rigid SL is placed from average entry. • Trailing activates only after unrealized gain ≥ threshold; it re-anchors on new highs (long) or new lows (short). What’s NEW here (vs. the reference) — and why you may care • Improved pivots + bar window → fewer early/misaligned signals; cleaner drawings. • RSI@pivot gates → entries aligned with true oversold/overbought at the exact decision bar. • Normalized strength + volume gate → ignore weak or low-volume divergences. • Delayed entries → require the signal to persist N bars if you want more confirmation. • Rigid SL + activatable trailing → trailing engages only after a cushion, so it’s less noisy. • Clutter control + gradient → readable chart with a smooth RSI band look. Suggested starting values (clear ranges) • RSI@pivot thresholds: LONG ≤ 30 (oversold), SHORT ≥ 70 (overbought). • Min divergence strength: 0.0 = off 3–6 = moderate filter 7–12 = strict filter for noisy LTFs • Volume gate (ratio): 1.0 = at least baseline volume 1.2–1.5 = strong-volume only (fewer but cleaner signals) • Pivot lookbacks: lbL 1–2, lbR 3–4 (raise lbR to confirm later and reduce noise) • Bar window (between pivots): Min 5–10, Max 30–60 (increase Min if you see micro-pivots; increase Max for wider structures) • Risk: Rigid SL 2–5% on liquid majors; 5–10% on higher-volatility symbols Trailing activation 1–3%, trailing 0.5–1.5% are common intraday starts Plain-text examples • BTCUSDT 1h → RSI 9, lbL 1, lbR 3, Min strength 5.0, Volume gate 1.0, SL 4.5%, Trail on 2.0%, Trail 1.0%. • SPY 15m → RSI 8, lbL 1, lbR 3, Min strength 7.0, Volume gate 1.2, SL 3.0%, Trail on 1.5%, Trail 0.8%. • EURUSD 4h → RSI 14, lbL 2, lbR 4, Min strength 4.0, Volume gate 1.0, SL 2.5%, Trail on 1.0%, Trail 0.5%. Notes & limitations • Pivot confirmation means the newest candidate pivot can move until lbR confirms it (expected). • Results vary by timeframe/symbol/settings; always forward-test. • Educational tool — no performance or profit claims. Credits • RSI by J. Welles Wilder Jr. (1978). • Reference divergence script by eemani123: • This version by tagstrading 2025 adds: improved pivot engine, RSI@pivot gating, normalized strength + optional volume gate, delayed entries, rigid SL and activatable trailing, and a gap-free RSI gradient.
Strategi Pine Script®
oleh TagsTrading
1
TRAPPER TRENDLINES — RSIBuilds dynamic RSI trendlines by connecting the two most recent confirmed RSI swing points (highs→highs for resistance, lows→lows for support). Includes optional channel shading for the 30–70 zone, an RSI moving average, clean break alerts, and simple bullish/bearish divergence alerts versus price. How it works RSI pivots: A point on RSI is a swing high/low only if it is the most extreme value compared with a set number of bars on the left and the right (the Pivot Lookback). RSI trendlines: Resistance connects the last two confirmed RSI swing highs. Support connects the last two confirmed RSI swing lows. Lines can be Full Extend (update into the future) or Pivot Only. Channel block: Optional fill of the 30–70 range for fast visual context. Alerts: Breaks of RSI support/resistance trendlines. Basic bullish/bearish RSI divergences versus price pivots. Inputs RSI RSI Length: Default 14 (standard). Pivot Lookback: Bars to the left/right required to confirm an RSI swing. Overbought / Oversold: 70 / 30 by default. Line Extension: Full Extend or Pivot Only. Visuals Show RSI Moving Average / Signal Length: Optional smoothing line on RSI. RSI/Signal colors: Customize plot colors. Show 30–70 Channel Block: Toggle the middle-zone fill. Tint pane background when RSI in channel: Optional subtle background when RSI is between OB/OS. Divergences & Alerts Enable RSI TL Break Alerts: Alert conditions for RSI line breaks. Enable Divergence Alerts: Bullish/Bearish divergence alerts versus price. Pairing with price for confluence/divergence For accurate confluence and clearer divergences, align this RSI tool with your price trendline tool (for example, TRAPPER TRENDLINES — PRICE): Set RSI Pivot Lookback equal to the Pivot Left/Right size used on price. Example: Price uses Pivot Left = 50 and Pivot Right = 50 → set RSI Pivot Lookback = 50. Keep RSI Length = 14 and OB/OS = 70/30 unless you have a specific edge. Interpretation: Confluence: Price reacts at its trendline while RSI reacts at its own line in the same direction. Divergence: Price makes a higher high while RSI makes a lower high (bearish), or price makes a lower low while RSI makes a higher low (bullish), using matched pivot windows. Suggested settings Higher timeframes (4H / 1D / 1W): Pivot Lookback = 50; optional RSI MA length 14; channel block ON. Intraday (15m / 30m / 1H): Pivot Lookback = 30; optional RSI MA length 14. Always mirror your price pivot size to this RSI Pivot Lookback for consistent swings. Reading the signals RSI trendline touch/hold: Momentum reacting at structure; look for confluence with price levels. RSI Trendline Break Up / Down: Momentum shift; consider price structure and retests. Bullish/Bearish Divergence: Confirm only when pivots are matched and the new swing is confirmed. Notes & limitations Pivots require future bars to confirm by design; trendlines update as new swings confirm. Divergence logic compares RSI pivots to price pivots with the same lookback; mismatched windows can produce false positives. No strategy entries/exits or performance claims are provided. This is an analytical tool. Alerts (titles/messages) RSI: Trendline Break Up — “RSI broke falling resistance line.” RSI: Trendline Break Down — “RSI broke rising support line.” RSI: Bullish Divergence — “Bullish RSI divergence confirmed.” RSI: Bearish Divergence — “Bearish RSI divergence confirmed.” Quick start Add the indicator to a separate pane. Set Pivot Lookback to match your price tool’s pivot size (e.g., 50). Optionally toggle the RSI MA and Channel Block for clarity. Enable alerts if you want notifications on RSI line breaks and divergences. Use with TRAPPER TRENDLINES — PRICE or any price-based trendline tool for confluence/divergence analysis. Compliance This script is for educational purposes only and does not constitute financial advice. Trading involves risk. Past performance does not guarantee future results. No performance claims are made.
Penunjuk Pine Script®
oleh RAMS-offthecharts
2
Divergence & Volume ThrustThis document provides both user and technical information for the "Divergence & Volume Thrust" (DVT) Pine Script indicator. Part 1: User Guide 1.1 Introduction The DVT indicator is an advanced tool designed to automatically identify high-probability trading setups. It works by detecting divergences between price and key momentum oscillators (RSI and MACD). A divergence is a powerful signal that a trend might be losing strength and a reversal is possible. To filter out weak signals, the DVT indicator includes a Volume Thrust component, which ensures that a divergence is backed by significant market interest before it alerts you. 🐂 Bullish Divergence: Price makes a new low, but the indicator makes a higher low. This suggests selling pressure is weakening. 🐻 Bearish Divergence: Price makes a new high, but the indicator makes a lower high. This suggests buying pressure is weakening. 1.2 Key Features on Your Chart When you add the indicator to your chart, here's what you will see: Divergence Lines: Bullish Lines (Teal): A line will be drawn on your chart connecting two price lows that form a bullish divergence. Bearish Lines (Red): A line will be drawn connecting two price highs that form a bearish divergence. Solid lines represent RSI divergences, while dashed lines represent MACD divergences. Confirmation Labels: "Bull Div ▲" (Teal Label): This label appears below the candle when a bullish divergence is detected and confirmed by a recent volume spike. This is a high-probability buy signal. "Bear Div ▼" (Red Label): This label appears above the candle when a bearish divergence is detected and confirmed by a recent volume spike. This is a high-probability sell signal. Volume Spike Bars (Orange Background): Any price candle with a faint orange background indicates that the volume during that period was unusually high (exceeding the average volume by a multiplier you can set). 1.3 Settings and Configuration You can customize the indicator to fit your trading style. Here's what each setting does: Divergence Pivot Lookback (Left/Right): Controls the sensitivity of swing point detection. Lower numbers find smaller, more frequent divergences. Higher numbers find larger, more significant ones. 5 is a good starting point. Max Lookback Range for Divergence: How many bars back the script will look for the first part of a divergence pattern. Default is 60. Indicator Settings (RSI & MACD): You can toggle RSI and MACD divergences on or off. Standard length settings for each indicator (e.g., RSI Length 14, MACD 12, 26, 9). Volume Settings: Use Volume Confirmation: The most important filter. When checked, labels will only appear if a volume spike occurs near the divergence. Volume MA Length: The lookback period for calculating average volume. Volume Spike Multiplier: The core of the "Thrust" filter. A value of 2.0 means volume must be 200% (or 2x) the average to be considered a spike. Visuals: Customize colors and toggle the confirmation labels on or off. 1.4 Strategy & Best Practices Confluence is Key: The DVT indicator is powerful, but it should not be used in isolation. Look for its signals at key support and resistance levels, trendlines, or major moving averages for the highest probability setups. Wait for Confirmation: A confirmed signal (with a label) is much more reliable than an unconfirmed divergence line. Context Matters: A bullish divergence in a strong downtrend might only lead to a small bounce, not a full reversal. Use the signals in the context of the overall market structure. Set Alerts: Use the TradingView alert system with this script. Create alerts for "Confirmed Bullish Divergence" and "Confirmed Bearish Divergence" to be notified of setups automatically.
Penunjuk Pine Script®
oleh WhiteHuracan
2
Inside Candle DivergenceStudy Material: Inside Candle Divergence Indicator (aiTrendview) 1. Introduction The Inside Candle Divergence Indicator is a custom tool built on TradingView using Pine Script. It is designed to help traders identify potential reversal points or trend continuations using a mix of candlestick analysis, RSI (Relative Strength Index), VWAP (Volume Weighted Average Price), Pivot Points, and Volume analytics. The tool also provides a dashboard table on the chart, summarizing all key values in a single glance for traders and analysts. This indicator is not just a signal generator but also an educational framework—explaining how different concepts in technical analysis combine to build a systematic approach for market entries and exits. ________________________________________ 2. Core Concepts Behind the Tool A. Inside Candle Pattern An Inside Candle forms when the current candle’s high is lower than or equal to the previous candle’s high, and the low is higher than or equal to the previous candle’s low. • This means the entire price action of the current candle is "inside" the range of the previous candle. • A bullish inside candle occurs when the close is higher than the open. • A bearish inside candle occurs when the close is lower than the open. This pattern shows market indecision but also sets up potential breakouts or trend reversals. ________________________________________ B. RSI (Relative Strength Index) The indicator calculates RSI using the formula from the ta.rsi() function in TradingView. RSI helps measure momentum in the market. • A low RSI (below 25) signals an oversold zone → possible buy. • A high RSI (above 75) signals an overbought zone → possible sell. By combining RSI with the Inside Candle, the indicator ensures that signals are triggered only when momentum and price patterns confirm each other. ________________________________________ C. Buy & Sell Signals • Buy Signal: Triggered when RSI < Buy Level (default 25) and a bullish inside candle forms. • Sell Signal: Triggered when RSI > Sell Level (default 75) and a bearish inside candle forms. When triggered, the chart displays a BUY (green label below candle) or SELL (red label above candle) marker. The indicator also saves the entry price and signal bar for future reference inside the dashboard. ________________________________________ D. VWAP (Volume Weighted Average Price) VWAP is calculated using the typical price (H+L+C)/3 and weighting it by volume. • VWAP shows the average trading price weighted by volume, widely used by institutions. • The tool calculates the distance of price from VWAP in % terms. • If price is far above VWAP, the market may be overheated (overbought). If far below, it may be undervalued (oversold). ________________________________________ E. Volume Analysis The tool splits volume into Buy Volume and Sell Volume: • Buy Volume: If close > open. • Sell Volume: If close ≤ open. • Cumulative totals are maintained, and percentages are calculated to show what proportion of total market volume is bullish vs bearish. • A progress bar style visual (using blocks █) shows the dominance of buyers or sellers. This allows traders to quickly measure whether buyers or sellers are controlling the market trend. ________________________________________ F. Daily Pivot Points Pivot Points are calculated using the previous day’s high, low, and close: • Pivot = (High + Low + Close) / 3 • R1, S1, R2, S2, R3, S3 levels are derived from this pivot. • These levels act as support and resistance zones. The script plots Pivot, R1, and S1 lines on the chart for easy reference. ________________________________________ G. Trend Direction The indicator checks where the price is compared to R1 and S1: • If price > R1 → Bullish Trend • If price < S1 → Bearish Trend • Otherwise → Neutral Trend The trend direction is displayed in the dashboard with arrows (↑, ↓, →). ________________________________________ H. Price Change Calculation The tool calculates: • Price Change = Current Close – Previous Close • Percentage Change = (Change / Previous Close) × 100 • Displays ▲ (green upward) or ▼ (red downward) with the exact percentage. This gives traders a quick snapshot of intraday price movement. ________________________________________ I. Dashboard Table One of the most powerful features is the real-time dashboard table shown on the chart. It contains: 1. Symbol & Price Info (Current ticker, price, change %) 2. RSI Reading (with color coding: green for oversold, red for overbought) 3. VWAP and Distance from VWAP 4. Volume Analysis with Progress Bar (Buy vs Sell %) 5. Pivot Levels (Pivot, R1, S1) 6. Trend Direction (Bullish, Bearish, Neutral) 7. Signal Status (Last Buy/Sell signal with entry price) This reduces the need for multiple indicators and gives traders a command-center view directly on the chart. ________________________________________ J. Alerts The tool generates alerts whenever a Buy or Sell condition is met. Traders can set up TradingView alerts to be notified instantly when: • Buy Signal Alert → RSI oversold + Bullish inside candle • Sell Signal Alert → RSI overbought + Bearish inside candle This ensures no opportunity is missed even if you’re not actively monitoring the chart. ________________________________________ K. Background Highlights The chart background also changes faintly (light green or light red) when a Buy or Sell condition is triggered. This gives traders visual confirmation along with signals and alerts. ________________________________________ 3. Practical Use of This Tool • Scalpers & Intraday Traders can use it for quick momentum-based entries. • Swing Traders can use the RSI + Inside Candle + Pivot Points to find medium-term reversals. • Analysts can use the dashboard for real-time summaries in reports. • Volume Analysis helps understand institutional activity. Remember: This is not a standalone holy grail. It must be used with proper risk management and confirmation from higher timeframes. ________________________________________ 4. Strict Disclaimer (aiTrendview) ⚠️ Disclaimer from aiTrendview: This indicator is designed for educational and analytical purposes only. It is not financial advice or a guaranteed trading strategy. Markets are inherently risky and unpredictable; past performance of indicators does not ensure future results. Trading involves risk of financial loss, and traders must use proper risk management, stop-loss, and independent judgment. aiTrendview strictly follows TradingView.com rules and compliance guidelines. Any misuse of this tool, its code, or analytical features for unauthorized commercial purposes, false promises, or misleading activities is strictly discouraged. The creators of this script and aiTrendview will not be responsible for any losses, damages, or misuse arising from its application. Always trade responsibly and only with money you can afford to lose. ________________________________________
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
Pivot Matrix & Multi-Timeframe Support-Resistance Analytics________________________________________ 📘 Study Material for Pivot Matrix & Multi Timeframe Support-Resistance Analytics (By aiTrendview — Educational Use Only) ________________________________________ 🎯 Introduction The Pivot Matrix & Multi Timeframe Support-Resistance Analytics indicator is designed to help traders visualize pivot points, support/resistance levels, VWAP, and volume flow analytics all in one place. Rather than giving explicit buy/sell calls, the dashboard provides reference insights so a learner may understand how different technical levels interact in real time. This document explains its functionality step by step with formulas and usage guides. ________________________________________ 1️⃣ Pivot System Logic Pivot points are classic tools for mapping market support and resistance levels. ✦ How Calculated? Using the Traditional Method: • Pivot Point (PP): PP=Highprev+Lowprev+Closeprev3PP = \frac{High_{prev} + Low_{prev} + Close_{prev}}{3}PP=3Highprev+Lowprev+Closeprev • First Support/Resistance: R1=2×PP−Lowprev,S1=2×PP−HighprevR1 = 2 \times PP - Low_{prev}, \quad S1 = 2 \times PP - High_{prev}R1=2×PP−Lowprev,S1=2×PP−Highprev • Second Support/Resistance: R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)R2 = PP + (High_{prev} - Low_{prev}), \quad S2 = PP - (High_{prev} - Low_{prev})R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev) • Third Levels: R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)R3 = High_{prev} + 2 \times (PP - Low_{prev}), \quad S3 = Low_{prev} - 2 \times (High_{prev} - PP)R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP) • Similarly, R4/R5 and S4/S5 are extrapolated from extended range multipliers. ✦ How Used? • Price above PP → bullish control bias. • Price below PP → bearish control bias. • R1–R5 levels act as resistances; S1–S5 act as supports. Learners should watch how candles behave when approaching R/S zones to spot breakout vs. rejection conditions. ________________________________________ 2️⃣ Multi Timeframe Logic The indicator allows using daily-based pivot values (via request.security). This ensures alignment with institutional daily levels, not just intraday recalculations. ✦ Teaching Value Understanding MTF pivots shows how markets respect higher timeframe levels (daily > intraday, weekly > daily). This helps learners grasp nested support-resistance structures. ________________________________________ 3️⃣ VWAP (Volume Weighted Average Price) Formula: VWAPt=∑(Pricei×Volumei)∑(Volumei),Pricei=High+Low+Close3VWAP_t = \frac{\sum (Price_i \times Volume_i)}{\sum (Volume_i)}, \quad Price_i = \frac{High + Low + Close}{3}VWAPt=∑(Volumei)∑(Pricei×Volumei),Pricei=3High+Low+Close Usage: • VWAP is used as an institutional benchmark of fair value. • Above VWAP = bullish flow. • Below VWAP = bearish flow. Learners should check whether price respects VWAP as a magnet or uses it as support/resistance. ________________________________________ 4️⃣ Volume Flow Analysis The script classifies buy volume, sell volume, and neutral volume. • Buy Volume = if close > open. • Sell Volume = if close < open. • Neutral Volume = if close = open. For daily tracking: Buy%=DayBuyVolDayTotalVol×100,Sell%=DaySellVolDayTotalVol×100Buy\% = \frac{DayBuyVol}{DayTotalVol} \times 100, \quad Sell\% = \frac{DaySellVol}{DayTotalVol} \times 100Buy%=DayTotalVolDayBuyVol×100,Sell%=DayTotalVolDaySellVol×100 Usage for Learners: • Dominant Buy% → accumulation/ bullish pressure. • Dominant Sell% → distribution/ bearish pressure. • Balanced → sideways liquidity building. This teaches observation of order flow bias rather than relying only on price. ________________________________________ 5️⃣ Dashboard Progress Bars & Colors The script uses visual progress bars and dynamic colors for clarity. For example: • VWAP Backgrounds: Green shades when price strongly above VWAP, Red when below. • Volume Bars: More green blocks mean buying dominance, red means selling pressure. This visual design turns concepts into easy-to-digest cues, useful for training. ________________________________________ 6️⃣ Market Status Summary Finally, the dashboard synthesizes all data points: • Price vs Pivot (above or below). • Price vs VWAP (above or below). • Volume Pressure (buy side vs sell side). Status Rule: • If all three align bullish → Status box turns green. • If mixed → Neutral grey. • If bearish dominance → weaker tone. Why Important? This teaches learners that market conditions should align in confluence across indicators before confidence arises. ________________________________________ ⚠️ Strict Disclaimer (aiTrendview) The Pivot Matrix & Multi Timeframe Support-Resistance Analytics tool is developed by aiTrendview for strictly educational and research purposes. ❌ It does NOT provide buy/sell recommendations. ❌ It does NOT guarantee profits. ❌ Unauthorized use, copying, or redistribution of this code is prohibited. ⚠️ Trading Risk Warning: • Trading involves high risk of financial loss. • You may lose more than your capital. • Past levels and indicators do not predict future outcomes. This tool must be viewed as a visual education aid to practice technical analysis skills, not as trading advice. ________________________________________ ✅ Now you have a step by step study guide: • Pivot calculations explained • VWAP with logic • Volume breakdown • Visual analytics • Status confluence logic • Disclaimer for compliance ________________________________________ ⚠️ Warning: • Trading financial markets involves substantial risk. • You can lose more money than you invest. • Past performance of indicators does not guarantee future results. • This script must not be copied, resold, or republished without authorization from aiTrendview. By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice. ________________________________________ ⚠️ Disclaimer and Warning (From aiTrendview) This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment. The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
DYNAMIC TRADING DASHBOARDStudy Material for the "Dynamic Trading Dashboard" This Dynamic Trading Dashboard is designed as an educational tool within the TradingView environment. It compiles commonly used market indicators and analytical methods into one visual interface so that traders and learners can see relationships between indicators and price action. Understanding these indicators, step by step, can help traders develop discipline, improve technical analysis skills, and build strategies. Below is a detailed explanation of each module. ________________________________________ 1. Price and Daily Reference Points The dashboard displays the current price, along with percentage change compared to the day’s opening price. It also highlights whether the price is moving upward or downward using directional symbols. Alongside, it tracks daily high, low, open, and daily range. For traders, daily levels provide valuable reference points. The daily high and low are considered intraday support and resistance, while the median price of the day often acts as a pivot level for mean reversion traders. Monitoring these helps learners see how price oscillates within daily ranges. ________________________________________ 2. VWAP (Volume Weighted Average Price) VWAP is calculated as a cumulative average price weighted by volume. The dashboard compares the current price with VWAP, showing whether the market is trading above or below it. For traders, VWAP is often a guide for institutional order flow. Price trading above VWAP suggests bullish sentiment, while trading below VWAP indicates bearish sentiment. Learners can use VWAP as a training tool to recognize trend-following vs. mean reversion setups. ________________________________________ 3. Volume Analysis The system distinguishes between buy volume (when the closing price is higher than the open) and sell volume (when the closing price is lower than the open). A progress bar highlights the ratio of buying vs. selling activity in percentage. This is useful because volume confirms price action. For instance, if prices rise but sell volume dominates, it can signal weakness. New traders learning with this tool should focus on how volume often precedes price reversals and trends. ________________________________________ 4. RSI (Relative Strength Index) RSI is a momentum oscillator that measures price strength on a scale from 0 to 100. The dashboard classifies RSI readings into overbought (>70), oversold (<30), or neutral zones and adds visual progress bars. RSI helps learners understand momentum shifts. During training, one should notice how trending markets can keep RSI extended for longer periods (not immediate reversal signals), while range-bound markets react more sharply to RSI extremes. It is an excellent tool for practicing trend vs. range identification. ________________________________________ 5. MACD (Moving Average Convergence Divergence) The MACD indicator involves a fast EMA, slow EMA, and signal line, with focus on crossovers. The dashboard shows whether a “bullish cross” (MACD above signal line) or “bearish cross” (MACD below signal line) has occurred. MACD teaches traders to identify trend momentum shifts and divergence. During practice, traders can explore how MACD signals align with VWAP trends or RSI levels, which helps in building a structured multi-indicator analysis. ________________________________________ 6. Stochastic Oscillator This indicator compares the current close relative to a range of highs and lows over a period. Displayed values oscillate between 0 and 100, marking zones of overbought (>80) and oversold (<20). Stochastics are useful for students of trading to recognize short-term momentum changes. Unlike RSI, it reacts faster to price volatility, so false signals are common. Part of the training exercise can be to observe how stochastic “flips” can align with volume surges or daily range endpoints. ________________________________________ 7. Trend & Momentum Classification The dashboard adds simple labels for trend (uptrend, downtrend, neutral) based on RSI thresholds. Additionally, it provides quick momentum classification (“bullish hold”, “bearish hold”, or neutral). This is beneficial for beginners as it introduces structured thinking: differentiating long-term market bias (trend) from short-term directional momentum. By combining both, traders can practice filtering signals instead of trading randomly. ________________________________________ 8. Accumulation / Distribution Bias Based on RSI levels, the script generates simplified tags such as “Accumulate Long”, “Accumulate Short”, or “Wait”. This is purely an interpretive guide, helping learners think in terms of accumulation phases (when markets are low) and distribution phases (when markets are high). It reinforces the concept that trading is not only directional but also involves timing. ________________________________________ 9. Overall Market Status and Score Finally, the dashboard compiles multiple indicators (VWAP position, RSI, MACD, Stochastics, and price vs. median levels) into a Market Score expressed as a percentage. It also labels the market as Overbought, Oversold, or Normal. This scoring system isn’t a recommendation but a learning framework. Students can analyze how combining different indicators improves decision-making. The key training focus here is confluence: not depending on one indicator but observing when several conditions align. Extended Study Material with Formulas ________________________________________ 1. Daily Reference Levels (High, Low, Open, Median, Range) • Day High (H): Maximum price of the session. DayHigh=max⁡(Hightoday)DayHigh=max(Hightoday) • Day Low (L): Minimum price of the session. DayLow=min⁡(Lowtoday)DayLow=min(Lowtoday) • Day Open (O): Opening price of the session. DayOpen=OpentodayDayOpen=Opentoday • Day Range: Range=DayHigh−DayLowRange=DayHigh−DayLow • Median: Mid-point between high and low. Median=DayHigh+DayLow2Median=2DayHigh+DayLow These act as intraday guideposts for seeing how far the price has stretched from its key reference levels. ________________________________________ 2. VWAP (Volume Weighted Average Price) VWAP considers both price and volume for a weighted average: VWAPt=∑i=1t(Pricei×Volumei)∑i=1tVolumeiVWAPt=∑i=1tVolumei∑i=1t(Pricei×Volumei) Here, Price_i can be the average price (High + Low + Close) ÷ 3, also known as hlc3. • Interpretation: Price above VWAP = bullish bias; Price below = bearish bias. ________________________________________ 3. Volume Buy/Sell Analysis The dashboard splits total volume into buy volume and sell volume based on candle type. • Buy Volume: BuyVol=Volumeif Close > Open, else 0BuyVol=Volumeif Close > Open, else 0 • Sell Volume: SellVol=Volumeif Close < Open, else 0SellVol=Volumeif Close < Open, else 0 • Buy Ratio (%): VolumeRatio=BuyVolBuyVol+SellVol×100VolumeRatio=BuyVol+SellVolBuyVol×100 This helps traders gauge who is in control during a session—buyers or sellers. ________________________________________ 4. RSI (Relative Strength Index) RSI measures strength of momentum by comparing gains vs. losses. Step 1: Compute average gains (AG) and losses (AL). AG=Average of Upward Closes over N periodsAG=Average of Upward Closes over N periodsAL=Average of Downward Closes over N periodsAL=Average of Downward Closes over N periods Step 2: Calculate relative strength (RS). RS=AGALRS=ALAG Step 3: RSI formula. RSI=100−1001+RSRSI=100−1+RS100 • Used to detect overbought (>70), oversold (<30), or neutral momentum zones. ________________________________________ 5. MACD (Moving Average Convergence Divergence) • Fast EMA: EMAfast=EMA(Close,length=fast)EMAfast=EMA(Close,length=fast) • Slow EMA: EMAslow=EMA(Close,length=slow)EMAslow=EMA(Close,length=slow) • MACD Line: MACD=EMAfast−EMAslowMACD=EMAfast−EMAslow • Signal Line: Signal=EMA(MACD,length=signal)Signal=EMA(MACD,length=signal) • Histogram: Histogram=MACD−SignalHistogram=MACD−Signal Crossovers between MACD and Signal are used in studying bullish/bearish phases. ________________________________________ 6. Stochastic Oscillator Stochastic compares the current close against a range of highs and lows. %K=Close−LowestLowHighestHigh−LowestLow×100%K=HighestHigh−LowestLowClose−LowestLow×100 Where LowestLow and HighestHigh are the lowest and highest values over N periods. The %D line is a smooth version of %K (using a moving average). %D=SMA(%K,smooth)%D=SMA(%K,smooth) • Values above 80 = overbought; below 20 = oversold. ________________________________________ 7. Trend and Momentum Classification This dashboard generates simplified trend/momentum logic using RSI. • Trend: • RSI < 40 → Downtrend • RSI > 60 → Uptrend • In Between → Neutral • Momentum Bias: • RSI > 70 → Bullish Hold • RSI < 30 → Bearish Hold • Otherwise Neutral This is not predictive, only a classification framework for educational use. ________________________________________ 8. Accumulation/Distribution Bias Based on extreme RSI values: • RSI < 25 → Accumulate Long Bias • RSI > 80 → Accumulate Short Bias • Else → Wait/No Action This helps learners understand the idea of accumulation at lows (strength building) and distribution at highs (profit booking). ________________________________________ 9. Overall Market Status and Score The tool adds up 5 bullish conditions: 1. Price above VWAP 2. RSI > 50 3. MACD > Signal 4. Stochastic > 50 5. Price above Daily Median BullishScore=ConditionsMet5×100BullishScore=5ConditionsMet×100 Then it categorizes the market: • RSI > 70 or Stoch > 80 → Overbought • RSI < 30 or Stoch < 20 → Oversold • Else → Normal This encourages learners to think in terms of probabilistic conditions instead of single-indicator signals. ________________________________________ ⚠️ Warning: • Trading financial markets involves substantial risk. • You can lose more money than you invest. • Past performance of indicators does not guarantee future results. • This script must not be copied, resold, or republished without authorization from aiTrendview. By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice. ________________________________________ ⚠️ Disclaimer and Warning (From aiTrendview) This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment. The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
Zero-Lag RSI DivergenceZero-Lag RSI Divergence Overview This indicator identifies RSI divergences in real-time without delay, providing immediate signals as price-momentum discrepancies develop. The indicator analyzes price action against RSI momentum across dual configurable periods, enabling traders to detect potential reversal opportunities with zero lag. Key Features Instant Divergence Detection : Identifies bullish and bearish divergences immediately upon formation without waiting for candle confirmation or historical validation. This eliminates signal delay but may increase false signals due to higher sensitivity. Dual Period Analysis : Configure detection across two independent cycles - Short Period (default 15) and Long Period (default 50) - allowing for multi-timeframe divergence analysis and enhanced signal validation across different market conditions. Visual Divergence Lines : Automatically draws dashed lines connecting divergence points between price highs/lows and corresponding RSI peaks/troughs, clearly illustrating the momentum-price relationship. Customizable RSI Parameters : Adjustable RSI length (default 14) allows optimization for different market volatility and trading timeframes. How It Works The indicator continuously monitors price action patterns and RSI momentum: - Bullish Divergence : Detected when price makes lower lows while RSI makes higher lows, suggesting potential upward momentum - Bearish Divergence : Identified when price makes higher highs while RSI makes lower highs, indicating potential downward momentum The algorithm uses candle color transitions and immediate RSI comparisons to trigger signals without historical repainting , ensuring backtesting accuracy and real-time reliability. How To Read Important Notes Higher Signal Frequency : The zero-lag approach increases signal sensitivity, generating more frequent alerts that may include false signals. Consider using additional confirmation methods for trade entries. Non-Repainting : All signals are generated and maintained without historical modification, ensuring consistent backtesting and forward-testing results. Input Parameters RSI Length: Period for RSI calculation (default: 14) Short/Long Periods: Lookback periods for divergence detection (default: 15/50) Line Colors: Customizable colors for short and long period divergence lines Label Settings: Optional divergence labels with custom text This indicator is designed for traders seeking immediate divergence identification across multiple timeframes while maintaining signal integrity and backtesting reliability.
Penunjuk Pine Script®
oleh dangtunglam14
3
Momentum Fusion v1Momentum Fusion v1 Overview Momentum Fusion v1 (MFusion) is a multi-oscillator indicator that combines several components to analyze market momentum and trend strength. It incorporates modified versions of classic indicators such as PVI (Positive Volume Index), NVI (Negative Volume Index), MFI (Money Flow Index), RSI, Stochastic, and Bollinger Bands Oscillator. The indicator displays a histogram that changes color based on momentum strength and includes "FUSION🔥" signal labels when extreme values are reached. Indicator Settings Parameters: EMA Length – Smoothing period for the moving average (default: 255). Smoothing Period – Internal calculation smoothing parameter (default: 15). BB Multiplier – Standard deviation multiplier for Bollinger Bands (default: 2.0). Show verde / marron / media lines – Toggles the display of auxiliary lines. Show FUSION🔥 label – Enables/disables signal labels. Indicator Components 1. PVI (Positive Volume Index) Formula: pvi := volume > volume ? nz(pvi ) + (close - close ) / close * sval : nz(pvi ) Description: PVI increases when volume rises compared to the previous bar and accounts for price percentage change. The stronger the price movement with increasing volume, the higher the PVI value. 2. NVI (Negative Volume Index) Formula: nvi := volume < volume ? nz(nvi ) + (close - close ) / close * sval : nz(nvi ) Description: NVI tracks price movements during declining volume. If the price rises on low volume, it may indicate a "stealth" trend. 3. Money Flow Index (MFI) Formula: 100 - 100 / (1 + up / dn) Description: An oscillator measuring money flow strength. Values above 80 suggest overbought conditions, while values below 20 indicate oversold conditions. 4. Stochastic Oscillator Formula: k = 100 * (close - lowest(low, length)) / (highest(high, length) - lowest(low, length)) Description: A classic stochastic oscillator showing price position relative to the selected period's range. 5. Bollinger Bands Oscillator Formula: (tprice - BB midline) / (upper BB - lower BB) * 100 Description: Indicates the price position relative to Bollinger Bands in percentage terms. Key Lines & Histogram 1. Verde (Green Line) Calculation: verde = marron + oscp (normalized PVI) Interpretation: Higher values indicate stronger bullish momentum. A FUSION🔥 signal appears when the value reaches 750+. 2. Marron (Brown Line) Calculation: marron = (RSI + MFI + Bollinger Osc + Stochastic / 3) / 2 Interpretation: A composite oscillator combining multiple indicators. Higher values suggest overbought conditions. 3. Media (Red Line) Calculation: media = EMA of marron with smoothing period Interpretation: Acts as a signal line for trend confirmation. 4. Histogram Calculation: histo = verde - marron Colors: Bright green (>100) – Strong bullish momentum. Light green (>0) – Moderate bullish momentum. Orange (<0) – Bearish momentum. Red (<-100) – Strong bearish momentum. Signals & Alerts 1. FUSION🔥 (Strong Momentum) Condition: verde >= 750 Visualization: A "FUSION🔥" label appears below the chart. Alert: Can be set to trigger notifications when the condition is met. 2. Background Aura Condition: verde > 850 Visualization: The chart background turns teal, indicating extreme momentum. Usage Recommendations FUSION🔥 Signal – Can be used as a long entry point when confirmed by other indicators. Histogram: 1. Green bars – Potential long entry. 2. Red/orange bars – Potential short entry. 3. Media & Marron Crossover – Can serve as an additional trend filter. 4. Suitable for a 5-15 minute time frame Conclusion Momentum Fusion v1 is a powerful tool for momentum analysis, combining multiple indicators into a unified system. It is suitable for: Trend traders (catching strong movements). Scalpers (identifying short-term impulses). Swing traders (filtering entry points). The indicator features customizable settings and visual signals, making it adaptable to various trading styles.
Penunjuk Pine Script®
oleh Zdorman
Sentiment Bias Gauge📌 Overview The Sentiment Bias Gauge (SBG) is a unique overlay-style indicator that visually maps a sentiment value—such as market bullishness or bearishness—onto your price chart. It converts sentiment data (in this case, RSI-based) into a floating line that moves between defined price zones, allowing users to quickly understand the current market mood in the context of price. ⚙️ How It Works • The indicator uses RSI (Relative Strength Index) as a proxy for market sentiment (0 to 100 scale). • This sentiment value is then mapped to a vertical price range on your chart using a configurable zone (via top and bottom percent of chart range). • The line floats up or down within the price chart, reflecting how bullish or bearish the sentiment is. • It includes background shading to represent the sentiment level: • 🔴 Red (Bearish): sentiment < 30 • 🟡 Yellow (Neutral): 30 ≤ sentiment ≤ 70 • 🟢 Green (Bullish): sentiment > 70 • A floating label shows the current sentiment score. 🌟 Key Features • 📈 Overlay-Based Sentiment Line: Plots sentiment as a price-level line, giving intuitive spatial reference. • 🔧 Configurable Range Placement: Adjust where the sentiment line appears within the chart’s high-low range. • 🖌️ Color-Coded Background: Visually distinguish bullish, bearish, and neutral conditions. • 🏷️ Real-Time Sentiment Label: Displays updated sentiment score on the most recent bar. 🧠 How to Use • Use this indicator alongside your price action or technical strategy to gauge market mood. • Combine with other sentiment indicators (e.g., fear/greed, delta volume, news sentiment). • Especially helpful in sideways markets to identify potential shifts in bias before price reacts. Why This Combination? • RSI offers a reliable and intuitive proxy for market sentiment. • Mapping the value directly onto the chart helps avoid constantly looking at a separate panel. • The customizable chart range lets traders fit sentiment visuals within any market structure. 🎯 Why It’s Worth Using • Makes sentiment visually accessible directly on the chart. • Helps detect bullish/bearish bias shifts earlier than traditional indicators. • A great tool for sentiment-aware discretionary trading or contextual overlays in algo strategies.
Penunjuk Pine Script®
oleh TradeTechanalysis
RSI - 5UP Overview The "RSI - 5UP" indicator is a versatile tool that enhances the traditional Relative Strength Index (RSI) by adding smoothing options, Bollinger Bands, and divergence detection. It provides a clear visual representation of RSI levels with customizable bands and optional moving averages, helping traders identify overbought/oversold conditions and potential trend reversals through divergence signals. Features Customizable RSI: Adjust the RSI length and source to fit your trading style. Overbought/Oversold Bands: Visualizes RSI levels with intuitive color-coded bands (red for overbought at 70, white for neutral at 50, green for oversold at 30). Smoothing Options: Apply various types of moving averages (SMA, EMA, SMMA, WMA, VWMA) to the RSI, with optional Bollinger Bands for volatility analysis. Divergence Detection: Identifies regular bullish and bearish divergences, with visual labels ("Bull" for bullish, "Bear" for bearish) and alerts. G radient Fills: Highlights overbought and oversold zones with gradient fills (green for overbought, red for oversold). How to Use 1. Add to Chart: Apply the "RSI - 5UP" indicator to any chart. It works well on timeframes from 5 minutes to daily. 2. Configure Settings: RSI Settings: RSI Length: Adjust the period for RSI calculation (default: 14). Source: Choose the price source for RSI (default: close). Calculate Divergence: Enable to detect bullish/bearish divergences (default: disabled). Smoothing: Type: Select the type of moving average to smooth the RSI ("None", "SMA", "SMA + Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", "VWMA"; default: "SMA"). Length: Set the period for the moving average (default: 14). BB StdDev: If "SMA + Bollinger Bands" is selected, adjust the standard deviation multiplier for the bands (default: 2.0). 3.Interpret the Indicator: RSI Levels: The RSI line (purple) oscillates between 0 and 100. Levels above 70 (red band) indicate overbought conditions, while levels below 30 (green band) indicate oversold conditions. The 50 level (white band) is neutral. Gradient Fills: The background gradients (green above 70, red below 30) highlight overbought and oversold zones for quick reference. Moving Average (MA): If enabled, a yellow MA line smooths the RSI. If "SMA + Bollinger Bands" is selected, green bands appear around the MA to show volatility. Divergences: If "Calculate Divergence" is enabled, look for "Bull" (green label) and "Bear" (red label) signals: Bullish Divergence: Indicates a potential upward reversal when the price makes a lower low, but the RSI makes a higher low. Bearish Divergence: Indicates a potential downward reversal when the price makes a higher high, but the RSI makes a lower high. 4. Set Alerts: Use the "Regular Bullish Divergence" and "Regular Bearish Divergence" alert conditions to be notified when a divergence is detected. Notes The indicator does not provide direct buy/sell signals. Use the RSI levels, moving averages, and divergence signals as part of a broader trading strategy. Divergence detection requires the "Calculate Divergence" option to be enabled and may not work on all timeframes or assets due to market noise. The Bollinger Bands are only visible when "SMA + Bollinger Bands" is selected as the smoothing type. Credits Developed by Marrulk. Enjoy trading with RSI - 5UP! 🚀
Penunjuk Pine Script®
oleh Marrulk
Oath KeeperOath Keeper - Advanced Money Flow & Market Dynamics Indicator A sophisticated indicator that analyzes market dynamics through money flow patterns, volume analysis, and liquidation detection to identify high-probability trading opportunities. Core Features: • Smart Money Flow Analysis: Proprietary calculation of institutional money movement • Volume-Enhanced Signals: Multi-timeframe volume confirmation • Liquidation Detection: Identifies potential forced liquidation events • Advanced Signal Classification: Regular, Super, and Fakeout signals Signal Types: 1. Regular Signals (Green/Purple Circles) • Volume-confirmed momentum shifts • Money flow threshold breaches • Institutional participation confirmation 2. Super Signals (Green/Purple Squares) • Deep oversold/overbought reversals • High-volume rejection patterns • Liquidation event confirmation 3. Fakeout Signals (Red X) • Rapid sentiment shifts • Trap detection • False breakout warnings Visual Components: • Dynamic Money Flow Line (White/Purple) • Order Flow Clouds (Green/Red with high transparency) • Reference Levels (20, 50, 80) • Multi-type Signal Markers • Color-coded momentum visualization Interpretation Guide: • Green Cloud: Bullish money flow dominance • Red Cloud: Bearish money flow dominance • Circle Markers: Standard reversals • Square Markers: High-conviction moves • X Markers: Potential trap zones Best Practices: • Most effective on 1H+ timeframes • Use with major trading pairs • Wait for candle close confirmation • Combine with support/resistance levels • Monitor volume confirmation • Use multiple timeframe analysis This indicator helps traders identify institutional money flow, potential liquidation events, and market reversals by analyzing volume patterns and money flow dynamics, providing multiple confirmation layers for trade decisions. Note: Performance varies with market conditions and timeframes. Always employ proper risk management.
Penunjuk Pine Script®
oleh RickyTSpanish
RSI Forecast [Titans_Invest]RSI Forecast Introducing one of the most impressive RSI indicators ever created – arguably the best on TradingView, and potentially the best in the world. RSI Forecast is a visionary evolution of the classic RSI, merging powerful customization with groundbreaking predictive capabilities. While preserving the core principles of traditional RSI, it takes analysis to the next level by allowing users to anticipate potential future RSI movements. Real-Time RSI Forecasting: For the first time ever, an RSI indicator integrates linear regression using the least squares method to accurately forecast the future behavior of the RSI. This innovation empowers traders to stay one step ahead of the market with forward-looking insight. Highly Customizable: Easily adapt the indicator to your personal trading style. Fine-tune a variety of parameters to generate signals perfectly aligned with your strategy. Innovative, Unique, and Powerful: This is the world’s first RSI Forecast to apply this predictive approach using least squares linear regression. A truly elite-level tool designed for traders who want a real edge in the market. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an RSI time series like this: Time → RSI    → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public RSI with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it. RSI Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _______________________________________________________________________ 🥇 This is the world’s first RSI indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________ _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:   •  Overbought: When the RSI is above 70, indicating that the asset may be overbought.   •  Oversold: When the RSI is below 30, indicating that the asset may be oversold.   •  Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear 📈 RSI Forecast: 🔮 RSI (Crossover) MA Forecast 🔮 RSI (Crossunder) MA Forecast ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear 📉 RSI Forecast: 🔮 RSI (Crossover) MA Forecast 🔮 RSI (Crossunder) MA Forecast ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Penunjuk Pine Script®
oleh Titans_Invest
3