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Relative Strength Index (RSI)

AP IFTCCIv2/IFTStoch/IFTRSI Multi-TimeframeMulti-Timeframe IFT-CCI/Stoch/RSI Composite This enhanced indicator combines three powerful oscillators—Inverse Fisher Transform (IFT) versions of the Commodity Channel Index (CCI), Stochastic, and Relative Strength Index (RSI)—into a unified multi-timeframe analysis tool. Originally developed by John Ehlers (pioneer of cyclical analysis and signal processing in trading systems) and adapted by KIVANC (@fr3762), this version adds dual-timeframe capability to compare indicator values across different chart resolutions. Key Features: Triple Oscillator Composite IFT-CCI: Smoothed CCI values transformed via Ehlers' Inverse Fisher Transform (blue-gold) IFT-Stochastic: Classic stochastic oscillator processed through IFT (blue) IFT-RSI: RSI oscillator converted to IFT format (magenta) Composite Average Line: Combined average of all three indicators (green) Multi-Timeframe Analysis Compare primary and secondary timeframes (e.g., 1H vs. 4H, daily vs. weekly) Primary timeframe plots use solid lines with 80% opacity Secondary timeframe (optional) uses dashed/circle markers with 40% opacity Key Levels Overbought (+0.75) and oversold (-0.75) reference lines Zero-centerline for momentum direction bias Applications: Trend Confirmation: Align higher timeframe signals with lower timeframe entries Divergence Detection: Spot inter-timeframe discrepancies in momentum Regime Filter: Use higher timeframe composite values to filter trades Technical Basis: Inverse Fisher Transform: Compresses oscillator values into bounded (-1 to +1) range while emphasizing extreme moves Dual WMA Smoothing: Combines initial calculation smoothing (WMA1) with final output smoothing (WMA2) Exponential Scaling: (e^2x - 1)/(e^2x + 1) formula converts Gaussian-like distributions to bounded outputs Credits: Original Concept: John Ehlers (IFT methodology, cyclical analysis foundations) Initial Implementation: KIVANC (@fr3762 on Twitter) for the base IFT-CCI/Stoch/RSI script Multi-Timeframe Adaptation: for cross-resolution analysis capabilities This tool is particularly effective for traders seeking to align multiple timeframes while using Ehlers' noise-reduction techniques. The composite average line provides a consensus view, while the individual oscillators help identify component strength/weakness.
Penunjuk Pine Script®
oleh nuipai
Adaptive Volume-Weighted RSI (AVW-RSI)Concept Summary The AVW-RSI is a modified version of the Relative Strength Index (RSI), where each price change is weighted by the relative trading volume for that period. This means periods of high volume (typically driven by institutions or “big money”) have a greater influence on the RSI calculation than periods of low volume. Why AVW-RSI Helps Traders Avoids Weak Signals During Low Volume Standard RSI may show overbought/oversold zones even during low-volume periods (e.g., during lunch hours or after news). AVW-RSI gives less weight to these periods, avoiding misleading signals. Amplifies Strong Momentum Moves If RSI is rising during high volume, it's more likely driven by institutional buying—AVW-RSI reflects that stronger by weighting the RSI component. Filters Out Retail Noise By prioritizing high-volume candles, it naturally discounts fakeouts caused by thin markets or retail-heavy moves. Highlights Institutional Entry/Exit Useful for spotting hidden accumulation/distribution that classic RSI would miss. How It Works (Calculation Logic) Traditional RSI Formula Recap RSI = 100 - (100 / (1 + RS)) RS = Average Gain / Average Loss (over N periods) Modified Step – Apply Volume Weight For each period Gain_t = max(Close_t - Close_{t-1}, 0) Loss_t = max(Close_{t-1} - Close_t, 0) Weight_t = Volume_t / AvgVolume(N) WeightedGain_t = Gain_t * Weight_t WeightedLoss_t = Loss_t * Weight_t Weighted RSI AvgWeightedGain = SMA(WeightedGain, N) AvgWeightedLoss = SMA(WeightedLoss, N) RS = AvgWeightedGain / AvgWeightedLoss AVW-RSI = 100 - (100 / (1 + RS)) Visual Features on Chart Line Color Gradient Color gets darker as volume weight increases, signaling stronger conviction. Overbought/Oversold Zones Traditional: 70/30 Suggested AVW-RSI zones: Use dynamic thresholds based on historical volatility (e.g., 80/20 for high-volume coins). Volume Spike Flags Mark RSI turning points that occurred during volume spikes with a special dot/symbol. Trading Strategies with AVW-RSI 1. Weighted RSI Divergence Regular RSI divergence becomes more powerful when volume is high. AVW-RSI divergence with volume spike is a strong signal of reversal. 2. Trend Confirmation RSI crossing above 50 during rising volume is a good entry signal. RSI crossing below 50 with high volume is a strong exit or short trigger. 3. Breakout Validation Price breaking resistance + AVW-RSI > 60 with volume = Confirmed breakout. Price breaking but AVW-RSI < 50 or on low volume = Potential fakeout. Example Use Case Stock XYZ is approaching a resistance zone. A trader sees: Standard RSI: 65 → suggests strength. Volume is 3x the average. AVW-RSI: 78 → signals strong momentum with institutional backing. The trader enters confidently, knowing this isn't just low-volume hype. Limitations / Tips Works best on liquid assets (Forex majors, large-cap stocks, BTC/ETH). Should be used alongside price action and volume analysis—not standalone. Periods of extremely high volume (news events) might need smoothing to avoid spikes.
Penunjuk Pine Script®
oleh SupertradeOfficial
2
Parsifal.Swing.RSIThe Parsifal.Swing.RSI indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators: • Parsifal Swing TrendScore • Parsifal Swing Composite • Parsifal Swing RSI • Parsifal Swing Flow Each module facilitates judgment of the current swing state in the underlying market. ________________________________________ Background Market movements typically follow a time-varying trend channel within which prices oscillate. These swings within the trend are inherently tradable. They can be approached: • One-sidedly, in alignment with the trend (generally safer), or • Two-sidedly, aiming to profit from mean reversions. Note: In strong trends, mean reversions often appear as sideways consolidations, making one-sided trades more robust. ________________________________________ The Parsifal Swing Suite The suite provides insights into current swing states and offers various entry point triggers. All modules act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., the RSI, which ranges from 0 to 100%). ________________________________________ The Parsifal.Swing.RSI – Specifics The Parsifal.Swing.RSI is the simplest module in the suite. It uses variations of the classical RSI, explicitly combining: • RSI: 14-period RSI of the market • RSIMA: 14-period EMA of the RSI • RSI21: 14-period RSI of the 21-period EMA of the market • RSI21MA: 14-period EMA of RSI21 Component Behavior: • RSI: Measures overbought/oversold levels but reacts very sensitively to price changes. • RSIMA: Offers smoother directional signals, making it better for assessing swing continuation. Its slope and sign changes are more reliable indicators than pure RSI readings. • RSI21: Based on smoothed prices. In strong trends, it reaches higher levels and reacts more smoothly than RSI. • RSI21MA: Further smooths RSI21, serving as a medium-term swing estimator and a signal line for RSI21. When RSI21 exceeds RSI, it indicates trend strength. • In uptrends, RSI21 > RSI, with larger exceedance = stronger trend • In downtrends, the reverse holds ________________________________________ Indicator Construction The Swing RSI combines: • RSI and RSIMA → short-term swings • RSI21 and RSI21MA → medium-term swings This results in: • A fast swing curve, derived from RSI and RSI21 • A slow swing curve, derived from RSIMA and RSI21MA This setup is smoother than RSI/RSIMA alone but more responsive than using RSI21/RSI21MA alone. ________________________________________ Background Value The Background Value reflects the overall market state, derived from RSI21: • > 0: shaded green → bullish mode • < 0: shaded red → bearish mode • The absolute value reflects confidence in the current mode ________________________________________ How to Use the Parsifal.Swing.RSI Several change points can act as entry triggers: • Fast Trigger: change in slope of the fast signal curve • Trigger: fast line crossing slow line or change in slow signal's slope • Slow Trigger: change in sign of the Background Value Examples of these triggers are shown in the chart. Additionally, market highs and lows aligned with swing values can serve as pivot points in evolving price movements. ________________________________________ As always, this indicator should be used alongside other tools and information in live trading. While it provides valuable insights and potential entry points, it does not predict future price action. It reflects the latest tendencies and should be used judiciously.
Penunjuk Pine Script®
oleh parsifaltrading
Adaptive RSI | Lyro RSThe Adaptive RSI | 𝓛𝔂𝓻𝓸 𝓡𝓢 indicator enhances the traditional Relative Strength Index (RSI) by integrating adaptive smoothing techniques and dynamic bands. This design aims to provide traders with a nuanced view of market momentum, highlighting potential trend shifts and overbought or oversold conditions. Key Features Adaptive RSI Calculation: Combines fast and slow Exponential Moving Averages (EMAs) of the RSI to capture momentum shifts effectively. Dynamic Bands: Utilizes a smoothed standard deviation approach to create upper and lower bands around the adaptive RSI, aiding in identifying extreme market conditions. Signal Line: An additional EMA of the adaptive RSI serves as a signal line, assisting in confirming trend directions. Customizable Color Schemes: Offers multiple predefined color palettes, including "Classic," "Mystic," "Accented," and "Royal," with an option for users to define custom colors for bullish and bearish signals. How It Works Adaptive RSI Computation: Calculates the difference between fast and slow EMAs of the RSI, producing a responsive oscillator that adapts to market momentum. Band Formation: Applies a smoothing factor to the standard deviation of the adaptive RSI, generating dynamic upper and lower bands that adjust to market volatility. Signal Line Generation: Computes an EMA of the adaptive RSI to act as a signal line, providing additional confirmation for potential entries or exits. Visualization: Plots the adaptive RSI as color-coded columns, with colors indicating bullish or bearish momentum. The dynamic bands are filled to visually represent overbought and oversold zones. How to Use Identify Momentum Shifts: Observe crossovers between the adaptive RSI and the signal line to detect potential changes in trend direction. Spot Overbought/Oversold Conditions: Monitor when the adaptive RSI approaches or breaches the dynamic bands, signaling possible market extremes. Customize Visuals: Select from predefined color palettes or define custom colors to align the indicator's appearance with personal preferences or chart themes. Customization Options RSI and EMA Lengths: Adjust the lengths of the RSI, fast EMA, slow EMA, and signal EMA to fine-tune the indicator's sensitivity. Band Settings: Modify the band length, multiplier, and smoothing factor to control the responsiveness and width of the dynamic bands. Color Schemes: Choose from predefined color modes or enable custom color settings to personalize the indicator's appearance. ⚠️ DISCLAIMER ⚠️: This indicator alone is not reliable and should be combined with other indicator(s) for a stronger signal.
Penunjuk Pine Script®
oleh LyroRS
Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time. What Makes This Unique GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto. True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation. Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals. Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity. Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading. No hidden DCA or pyramiding—what you see is what you trade. Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable. Inputs and What They Mean (Read Carefully) 📊 Main Signal Inputs Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this. RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals. ⚡ Regime & Momentum Gates Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop. 🕒 Volatility & Session ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time. Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills. 📊 Sizing & Risk Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk. 🔄 Exits & Scaling Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode. Visuals That Actually Matter Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”). Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge. *No cosmetics, no hidden code distractions. Why It Wins While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive: - Context-aware signals, not just patterns - Tight, transparent risk - Inputs that adapt, not confuse - Visuals that clarify, not distract - Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box) Disclaimer (for TradingView compliance): Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades. Personal Note to Mods and Traders: Yes, this statement is DIFFERENT, because this script IS different. If you see this taken down for some technicality (charting labels etc.), know I will fix, adapt, and repost until the system and its truth are visible to the community. This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private. Use with discipline, use with clarity, and always trade smarter. — Dskyz, powered by DAFE Trading Systems.
Strategi Pine Script®
oleh DskyzInvestments
6
MACD+RSI Cross Alert – Clean Signal by TFGMACD + RSI Cross Alert (Lightweight & Clean Visuals) This script highlights potential momentum shifts using MACD line crossovers with RSI confirmation. Clean, minimal ▲▼ markers make it suitable for any chart setup. ▲ Upward Marker: When MACD line crosses above signal line and RSI is above 50 ▼ Downward Marker: When MACD line crosses below signal line and RSI is below 50 Signals are semi-transparent and offset for visual clarity Compatible with any timeframe and symbol 🔰 For beginners: These markers may suggest trend initiation or a momentum shift. They can serve as timing references when used with support/resistance zones or moving averages. MACD＋RSIクロス マーカー（軽量・視認性重視） このスクリプトは、MACDのクロスとRSIの方向をもとに、勢いの変化を示すマーカーを表示します。 チャートを邪魔しない小さな▲▼のみ表示され、シンプルで軽量な構成です。 ▲ 上向きマーカー：MACDがシグナルを上抜け、かつRSIが50より上の場合 ▼ 下向きマーカー：MACDがシグナルを下抜け、かつRSIが50より下の場合 半透明かつオフセット配置で視認性を確保 すべての時間足・銘柄に対応 🔰 初心者向け補足： このマーカーは、トレンドの始まりや勢いの変化の可能性を示します。 サポートライン・移動平均などと組み合わせて、タイミングの参考として活用できます。
Penunjuk Pine Script®
oleh thelo_fg
Alerta Caída Brusca + Confirmación de VolumenTechnical Components of the Indicator EMA 9 vs EMA 21 Detects momentum shifts via exponential moving average crossovers. When EMA 9 crosses below EMA 21, it is interpreted as a bearish signal. Bollinger Band Compression Identifies periods of low volatility (tight bands). A breakout following this compression typically precedes sharp and fast price moves. Ichimoku Cloud (Kumo Breakout) If the price closes below the Kumo (Ichimoku cloud), it indicates structural bearish pressure. This confirms the loss of key technical support. RSI (Relative Strength Index) A reading below 45 signals price weakness and low buying pressure. 🛑 Conditions to Trigger a Sell Signal A sell signal is generated when all of the following conditions occur simultaneously: Bollinger Bands show compression (low volatility). EMA 9 crosses below EMA 21 (bearish crossover). Price breaks below the Ichimoku cloud (Kumo). RSI is below 45, confirming weak buying momentum. When these conditions are met, a "SELL" label is visually projected on the corresponding candle. 📈 Usage Recommendations Recommended timeframes: 5 minutes, 15 minutes, or 1 hour. Useful for anticipating drops, avoiding late entries, and detecting technical breakdowns. Can be combined with volume, candlestick patterns, or liquidity zones for higher accuracy.
Penunjuk Pine Script®
oleh Teomariscal
RSI-EMA-Crossing with Donchian-Stop-LossThe Donchian RSI Indicator is a visual tool that combines momentum and trend analysis to identify high-quality long opportunities based on RSI crossovers, price action, and Donchian channel dynamics. How It Works Momentum Signal: A bullish RSI crossover is detected when the RSI crosses above its moving average. Trend Filter: A signal is only valid if the crossover occurs while the price is above its moving average – filtering out entries against the prevailing trend. Signal Candle: The high of the crossover candle is stored. Entry Trigger: A valid signal occurs when a later candle closes above that signal high. Stop-Loss (Visual Only) The lower band of the Donchian Channel acts as a visual reference for a dynamic stop-loss level. Features Customizable RSI, Donchian Channel, and moving average lengths Selectable MA types: SMA, EMA, WMA, VWMA, HMA Signal candle highlighted (yellow background) Entry points labeled on the chart Price MA and Donchian Channel plotted Trend filter improves signal quality by confirming upward bias Use Case Designed for swing and position traders Optimized for use on daily or 4H charts
Penunjuk Pine Script®
oleh Kahael
C&B Auto MK5C&B Auto MK5.2ema BullBear Overview The C&B Auto MK5.2ema BullBear is a versatile Pine Script indicator designed to help traders identify bullish and bearish market conditions across various timeframes. It combines Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Average True Range (ATR), and customizable time filters to generate actionable signals. The indicator overlays on the price chart, displaying EMAs, a dynamic cloud, scaled RSI levels, bull/bear signals, and market condition labels, making it suitable for swing trading, day trading, or scalping in trending or volatile markets. What It Does This indicator generates bull and bear signals based on the interaction of two EMAs, filtered by RSI thresholds, ATR-based volatility, a 50/200 EMA trend filter, and user-defined time windows. It adapts to market volatility by adjusting EMA lengths and RSI thresholds. A dynamic cloud highlights trend direction or neutral zones, with candlestick coloring in neutral conditions. Market condition labels (current and historical) provide real-time trend and volatility context, displayed above the chart. How It Works The indicator uses the following components: EMAs: Two EMAs (short and long) are calculated on a user-selected timeframe (1, 5, 15, 30, or 60 minutes). Their crossover or crossunder triggers potential bull/bear signals. EMA lengths adjust based on volatility (e.g., 10/20 for volatile markets, 5/10 for non-volatile). Dynamic Cloud: The area between the EMAs forms a cloud, colored green for bullish trends, red for bearish trends, or a user-defined color (default yellow) for neutral zones (when EMAs are close, determined by an ATR-based threshold). Users can widen the cloud for visibility. RSI Filter: RSI is scaled to price levels and plotted on the chart (optional). Signals are filtered to ensure RSI is within volatility-adjusted bull/bear thresholds and not in overbought/oversold zones. ATR Volatility Filter: An optional filter ensures signals occur during sufficient volatility (ATR(14) > SMA(ATR, 20)). 50/200 EMA Trend Filter: An optional filter restricts bull signals to bullish trends (50 EMA > 200 EMA) and bear signals to bearish trends (50 EMA < 200 EMA). Time Filter: Signals are restricted to a user-defined UTC time window (default 9:00–15:00), aligning with active trading sessions. Market Condition Labels: Labels above the chart display the current trend (Bullish, Bearish, Neutral) and optionally volatility (e.g., “Bullish Volatile”). Up to two historical labels persist for a user-defined number of bars (default 5) to show recent trend changes. Visual Aids: Bull signals appear as green triangles/labels below the bar, bear signals as red triangles/labels above. Candlesticks in neutral zones are colored (default yellow). The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to produce realistic signals, avoiding non-standard types like Heikin Ashi or Renko. How to Use It Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView. Configure Settings: Timeframe: Choose a timeframe (1, 5, 15, 30, or 60 minutes) to match your trading style. Filters: Enable/disable the ATR volatility filter to focus on high-volatility periods. Enable/disable the 50/200 EMA trend filter to align signals with the broader trend. Enable the time filter and set custom UTC hours/minutes (default 9:00–15:00). Cloud Settings: Adjust the cloud width, neutral zone threshold, color, and transparency. EMA Colors: Use default trend-based colors or set custom colors for short/long EMAs. RSI Display: Toggle the scaled RSI and its thresholds, with customizable colors. Signal Settings: Toggle bull/bear labels and set signal colors. Market Condition Labels: Toggle current/historical labels, include/exclude volatility, and adjust decay period. Interpret Signals: Bull Signal: A green triangle or “Bull” label below the bar indicates potential bullish momentum (EMA crossover, RSI above bull threshold, within time window, passing filters). Bear Signal: A red triangle or “Bear” label above the bar indicates potential bearish momentum (EMA crossunder, RSI below bear threshold, within time window, passing filters). Neutral Zone: Yellow candlesticks and cloud (if enabled) suggest a lack of clear trend; consider range-bound strategies or avoid trading. Market Condition Labels: Check labels above the chart for real-time trend (Bullish, Bearish, Neutral) and volatility status to confirm market context. Monitor Context: Use the cloud, RSI, and labels to assess trend strength and volatility before acting on signals. Unique Features Volatility-Adaptive EMAs: Automatically adjusts EMA lengths based on ATR to suit volatile or non-volatile markets, reducing manual configuration. Neutral Zone Detection: Uses an ATR-based threshold to identify low-trend periods, helping traders avoid choppy markets. Scaled RSI Visualization: Plots RSI and thresholds directly on the price chart, simplifying momentum analysis relative to price. Flexible Time Filtering: Supports precise UTC-based trading windows, ideal for day traders targeting specific sessions. Historical Market Labels: Displays recent trend changes (up to two) with a decay period, providing context for market shifts. 50/200 EMA Trend Filter: Aligns signals with the broader market trend, enhancing signal reliability. Notes Use on standard candlestick or bar charts to ensure accurate signals. Test the indicator on a demo account to optimize settings for your market and timeframe. Combine with other analysis (e.g., support/resistance, volume) for better decision-making. The indicator is not a standalone system; use it as part of a broader trading strategy. Limitations Signals may lag in fast-moving markets due to EMA-based calculations. Neutral zone detection may vary in extremely volatile or illiquid markets. Time filters are UTC-based; ensure your platform’s timezone settings align. This indicator is designed for traders seeking a customizable, trend-following tool that adapts to volatility and provides clear visual cues with robust filtering for bullish and bearish market conditions.
Penunjuk Pine Script®
oleh charleyRT
Fibonacci - RSI OscillatorIndicator Overview The Fibonacci RSI Oscillator calculates the Relative Strength Index (RSI) based on a dynamically adjusting level derived from recent price action and a fixed Fibonacci ratio (0.236). This differs from standard RSI, which is calculated directly on the closing price. The objective is to measure momentum relative to a level that adapts to recent peaks and valleys. Core Calculation Mechanism Peak/Valley Tracking: The script identifies the highest high (state_peak) and lowest low (state_valley) since the last detected change in short-term directional bias (state_dir). Dynamic Level Calculation: A level (state_dyn_level) is calculated using a fixed 0.236 Fibonacci ratio relative to the tracked peak and valley: If bias is up: state_dyn_level = state_peak - (state_peak - state_valley) * 0.236 If bias is down: state_dyn_level = state_valley + (state_peak - state_valley) * 0.236 This level adjusts automatically when a new peak or valley is established in the current directional bias. If price crosses the dynamic level against the current bias, the bias flips, and the level recalculates. Optional Source Smoothing: The calculated state_dyn_level can optionally be smoothed using a user-selected moving average (SMA, EMA, WMA, HMA, RMA) before the RSI calculation. RSI Calculation: The standard RSI formula is applied to the (optionally smoothed) state_dyn_level series to produce the primary oscillator value (val_primary_osc). Signal Line: A moving average (type and length configurable) is calculated on the val_primary_osc to generate the val_sig_line. Key Features & Components Dynamic Fibonacci Level: The core input for the RSI calculation, based on recent peaks/valleys and the 0.236 ratio. Fibonacci Level RSI: The primary oscillator line representing the RSI of the dynamic level. Signal Line: A moving average of the primary RSI line. Overbought/Oversold Levels: User-defined threshold lines. Optional Source Smoothing: Configurable MA smoothing applied to the dynamic level before RSI calculation. Gradient RSI Color : Option to color the primary RSI line based on its value relative to OB/Mid/OS levels. Zone & OB/OS Fills: Visual fills for the 0-50 / 50-100 zones and specific fills when the RSI enters OB/OS territory. Background Gradient: Optional vertical background color gradient based on the RSI's position between 0 and 100. Configurable Parameters: Inputs for lengths, MA types, OB/OS levels, colors, line widths, and feature toggles. Visual Elements Explained Fibonacci Level RSI Line: The main plotted oscillator (color/gradient/width configurable). Signal Line: The moving average of the RSI line (color/width/MA type configurable). OB/OS Lines: Horizontal lines plotted at the set OB/OS levels (color/width configurable). Mid-Line (50): Horizontal line plotted at 50 (color/width configurable). Zone Fills: Background fill between 0-50 and 50-100 (colors configurable). Conditional fill between the RSI line and the 50 line when RSI > OB level or RSI < OS level (colors configurable). Background Gradient: Optional background coloring where transparency varies vertically with the RSI level (base colors and transparency range configurable). Configuration Options Users can adjust the following parameters in the indicator settings: Smoothing: Enable/disable dynamic level smoothing; set length and MA type. RSI: Set the RSI calculation length. Signal Line: Set the signal line smoothing length and MA type. Levels: Define Overbought and Oversold numeric thresholds. Visuals: Configure colors and widths for the RSI line, signal line, OB/OS lines, mid-line, zone fills, and OB/OS fills. Gradients: Enable/disable and configure colors for the RSI line gradient; enable/disable and configure colors/transparency for the background gradient. Interpretation Notes The oscillator reflects the momentum of the dynamic Fibonacci level, not directly the price. Divergences, OB/OS readings, and signal line crossovers should be interpreted in this context. The behavior may differ from standard RSI, potentially offering a smoother output or highlighting different momentum patterns depending on market structure and volatility. As with any indicator, signals should be used in conjunction with other analysis methods and risk management practices. It is not designed as a standalone trading system. Risk Disclaimer: Trading involves significant risk. This indicator is provided for analytical purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use sound risk management practices and never trade with capital you cannot afford to lose.
Penunjuk Pine Script®
oleh sizzlinsoft
2
MTF Stochastic RSIOverview: MTF Stochastic RSI is a momentum-tracking tool that plots the Stochastic RSI oscillator for up to four user- defined timeframes on a single panel. It provides a compact yet powerful view of how momentum is aligning or diverging across different timeframes, making it suitable for both scalpers and swing traders looking for multi-timeframe confirmation. What it does: Calculates Stochastic RSI values using the RSI of price as the base input and applies smoothing for stability. Aggregates and displays the values for four customizable TF (e.g., 5min, 15min, 1h, 4h). Highlights potential support and resistance zones in the oscillator space using adaptive zone logic. Optionally draws dynamic support/resistance zone lines in the oscillator space based on historical turning points. How it works: Each timeframe uses the same RSI and Stoch calculation settings but runs independently via the request.security() function. Stochastic RSI is calculated by first applying the RSI to price, then applying a stochastic formula on the RSI values, and finally smoothing the %K output. Adaptive overbought and oversold thresholds adjust based on ATR-based volatility and simple trend filtering (e.g., price vs EMA). When a crossover above the oversold zone or a crossunder below the overbought zone occurs, the script checks for proximity to previously stored zones and either adjusts or records a new one. These zones are stored and re-plotted as dotted support/resistance levels within the oscillator space. What it’s based on: The indicator builds upon traditional Stochastic RSI by applying it to multiple timeframes in parallel. Zone detection logic is inspired by the idea of oscillator-based support/resistance levels. Volatility-adjusted thresholds are based on ATR (Average True Range) to make the overbought/oversold zones responsive to market conditions. How to use it: Look for alignment across timeframes (e.g., all four curves pushing into the overbought region suggests strong trend continuation). Reversal risk increases when one or more higher timeframes are diverging or showing signs of cooling while lower timeframes are still extended. Use the zone lines as soft support/resistance references within the oscillator—retests of these zones can indicate strong reversal opportunities or continuation confirmation. This script is provided for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or an offer to buy or sell any financial instrument. Always perform your own due diligence, use proper risk management, and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results. Use this tool at your own discretion and risk.
Penunjuk Pine Script®
oleh AresIQ
RTB - Momentum Breakout Strategy V3 📈 RTB - Momentum Breakout Strategy V3 is a directional breakout strategy based on momentum. It combines exponential moving averages (EMAs), RSI, and recent support/resistance levels to detect breakout entries with trend confirmation. The system includes dynamic risk management using ATR-based stop-loss and trailing stop levels. Webhook alerts are supported for external automated trading integrations. 🔎 The strategy was backtested using default parameters on BTCUSDT Futures (Bybit) with 4-hour timeframe and a 0.05% commission per trade. ⚠️ This script is for educational purposes only and does not constitute financial advice. Always do your own research before trading.
Strategi Pine Script®
oleh Ramtraderbook
3
COT3 - Flip Strength Index - Invincible3This indicator uses the TradingView COT library to visualize institutional positioning and potential sentiment or trend shifts. It compares the long% vs short% of commercial and non-commercial traders for both Pair A and Pair B, helping traders identify trend strength, market overextension, and early reversal signals. 🔷 COT RSI The COT RSI normalizes the net positioning difference between non-commercial and commercial traders over (N=13, 26, and 52)-week periods. It ranges from 0 to 100, highlighting when sentiment is at bullish or bearish extremes. COT RSI (N)= ((NC - C)−min)/(max-min) x100 🟡 COT Index The COT Index tracks where the current non-commercial net position lies within its 1-year and 3-year historical range. It reflects institutional accumulation or distribution phases. Strength represents the magnitude of that positioning bias, visualized through normalized RSI-style metrics. COT Index (N)= (NC net)/(max-min) x100 🔁 Flip Detection Flip refers to the crossovers between long% and short%, indicating a change in directional bias among trader groups. When long positions exceed shorts (or vice versa), it signals a possible market flip in sentiment or trend. For example, Pair B commercial flip is calculated as: Long% = (Long/Open Interest)×100 Short% = (Short/Open Interest)×100 Flip = Long%−Short% A bullish flip occurs when long% overtakes short%, and vice versa for a bearish flip. These flips often precede price trend changes or confirm sentiment breakouts. Flip captures how far current positioning deviates from historical norms — highlighting periods of institutional overconfidence or exhaustion, often leading to significant market turns. This combination offers a multi-layered edge for identifying when smart money is flipping direction, and whether that flip has strong conviction or is likely to fade. ..........................................................................................................................................................
Penunjuk Pine Script®
oleh invincible3
2
RSI Full Forecast [Titans_Invest]RSI Full Forecast Get ready to experience the ultimate evolution of RSI-based indicators – the RSI Full Forecast, a boosted and even smarter version of the already powerful: RSI Forecast Now featuring over 40 additional entry conditions (forecasts), this indicator redefines the way you view the market. AI-Powered RSI Forecasting: Using advanced linear regression with the least squares method – a solid foundation for machine learning - the RSI Full Forecast enables you to predict future RSI behavior with impressive accuracy. But that’s not all: this new version also lets you monitor future crossovers between the RSI and the MA RSI, delivering early and strategic signals that go far beyond traditional analysis. You’ll be able to monitor future crossovers up to 20 bars ahead, giving you an even broader and more precise view of market movements. See the Future, Now: • Track upcoming RSI & RSI MA crossovers in advance. • Identify potential reversal zones before price reacts. • Uncover statistical behavior patterns that would normally go unnoticed. 40+ Intelligent Conditions: The new layer of conditions is designed to detect multiple high-probability scenarios based on historical patterns and predictive modeling. Each additional forecast is a window into the price's future, powered by robust mathematics and advanced algorithmic logic. Full Customization: All parameters can be tailored to fit your strategy – from smoothing periods to prediction sensitivity. You have complete control to turn raw data into smart decisions. Innovative, Accurate, Unique: This isn’t just an upgrade. It’s a quantum leap in technical analysis. RSI Full Forecast is the first of its kind: an indicator that blends statistical analysis, machine learning, and visual design to create a true real-time predictive system. ⯁ 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 β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ 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 Full 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: _________________________________________________ 🔮 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 🔹 RSI Forecast 1 > MA Forecast 1 🔹 RSI Forecast 1 < MA Forecast 1 🔹 RSI Forecast 2 > MA Forecast 2 🔹 RSI Forecast 2 < MA Forecast 2 🔹 RSI Forecast 3 > MA Forecast 3 🔹 RSI Forecast 3 < MA Forecast 3 🔹 RSI Forecast 4 > MA Forecast 4 🔹 RSI Forecast 4 < MA Forecast 4 🔹 RSI Forecast 5 > MA Forecast 5 🔹 RSI Forecast 5 < MA Forecast 5 🔹 RSI Forecast 6 > MA Forecast 6 🔹 RSI Forecast 6 < MA Forecast 6 🔹 RSI Forecast 7 > MA Forecast 7 🔹 RSI Forecast 7 < MA Forecast 7 🔹 RSI Forecast 8 > MA Forecast 8 🔹 RSI Forecast 8 < MA Forecast 8 🔹 RSI Forecast 9 > MA Forecast 9 🔹 RSI Forecast 9 < MA Forecast 9 🔹 RSI Forecast 10 > MA Forecast 10 🔹 RSI Forecast 10 < MA Forecast 10 🔹 RSI Forecast 11 > MA Forecast 11 🔹 RSI Forecast 11 < MA Forecast 11 🔹 RSI Forecast 12 > MA Forecast 12 🔹 RSI Forecast 12 < MA Forecast 12 🔹 RSI Forecast 13 > MA Forecast 13 🔹 RSI Forecast 13 < MA Forecast 13 🔹 RSI Forecast 14 > MA Forecast 14 🔹 RSI Forecast 14 < MA Forecast 14 🔹 RSI Forecast 15 > MA Forecast 15 🔹 RSI Forecast 15 < MA Forecast 15 🔹 RSI Forecast 16 > MA Forecast 16 🔹 RSI Forecast 16 < MA Forecast 16 🔹 RSI Forecast 17 > MA Forecast 17 🔹 RSI Forecast 17 < MA Forecast 17 🔹 RSI Forecast 18 > MA Forecast 18 🔹 RSI Forecast 18 < MA Forecast 18 🔹 RSI Forecast 19 > MA Forecast 19 🔹 RSI Forecast 19 < MA Forecast 19 🔹 RSI Forecast 20 > MA Forecast 20 🔹 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🔸 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 🔸 RSI Forecast 1 > MA Forecast 1 🔸 RSI Forecast 1 < MA Forecast 1 🔸 RSI Forecast 2 > MA Forecast 2 🔸 RSI Forecast 2 < MA Forecast 2 🔸 RSI Forecast 3 > MA Forecast 3 🔸 RSI Forecast 3 < MA Forecast 3 🔸 RSI Forecast 4 > MA Forecast 4 🔸 RSI Forecast 4 < MA Forecast 4 🔸 RSI Forecast 5 > MA Forecast 5 🔸 RSI Forecast 5 < MA Forecast 5 🔸 RSI Forecast 6 > MA Forecast 6 🔸 RSI Forecast 6 < MA Forecast 6 🔸 RSI Forecast 7 > MA Forecast 7 🔸 RSI Forecast 7 < MA Forecast 7 🔸 RSI Forecast 8 > MA Forecast 8 🔸 RSI Forecast 8 < MA Forecast 8 🔸 RSI Forecast 9 > MA Forecast 9 🔸 RSI Forecast 9 < MA Forecast 9 🔸 RSI Forecast 10 > MA Forecast 10 🔸 RSI Forecast 10 < MA Forecast 10 🔸 RSI Forecast 11 > MA Forecast 11 🔸 RSI Forecast 11 < MA Forecast 11 🔸 RSI Forecast 12 > MA Forecast 12 🔸 RSI Forecast 12 < MA Forecast 12 🔸 RSI Forecast 13 > MA Forecast 13 🔸 RSI Forecast 13 < MA Forecast 13 🔸 RSI Forecast 14 > MA Forecast 14 🔸 RSI Forecast 14 < MA Forecast 14 🔸 RSI Forecast 15 > MA Forecast 15 🔸 RSI Forecast 15 < MA Forecast 15 🔸 RSI Forecast 16 > MA Forecast 16 🔸 RSI Forecast 16 < MA Forecast 16 🔸 RSI Forecast 17 > MA Forecast 17 🔸 RSI Forecast 17 < MA Forecast 17 🔸 RSI Forecast 18 > MA Forecast 18 🔸 RSI Forecast 18 < MA Forecast 18 🔸 RSI Forecast 19 > MA Forecast 19 🔸 RSI Forecast 19 < MA Forecast 19 🔸 RSI Forecast 20 > MA Forecast 20 🔸 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🤖 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 Full 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
Kalman Filtered RSI | [DeV]The Kalman Filtered RSI indicator is an advanced tool designed for traders who want precise, noise-free market insights. By enhancing the classic Relative Strength Index (RSI) with a Kalman filter, this indicator delivers a smoother, more reliable view of market momentum, helping you identify trends, reversals, and overbought/oversold conditions with greater accuracy. It’s an ideal choice for traders seeking clear signals amidst market volatility, giving you a competitive edge across any trading environment. The RSI measures momentum by analyzing price movements over a set period, typically 14 bars. It calculates the average of price gains on up days and the average of price losses on down days, then compares these to produce a value between 0 and 100. An RSI above 70 often indicates an overbought market that may reverse downward, while below 30 suggests an oversold market that could reverse upward. RSI is great for spotting momentum shifts, potential reversals, and trend strength, but it can be noisy in choppy markets, leading to misleading signals. That's where the Kalman filter comes in; it enhances the RSI by applying a sophisticated smoothing process that predicts the RSI’s next value based on its historical trend, then updates this prediction with the actual RSI reading. It operates in two phases: prediction and correction. In the prediction phase, it uses the previous filtered RSI and adds uncertainty from process noise (Q), which is derived from the historical variance of RSI changes, reflecting how much the RSI might unexpectedly shift. In the correction phase, it calculates a Kalman gain based on the ratio of prediction uncertainty to measurement noise (R), which is determined from the variance between raw RSI and a smoothed version, indicating the raw data’s noisiness. This gain weights how much the filter trusts the new RSI versus the prediction, blending them to produce a smoothed RSI that reduces noise while staying responsive to real trends, outperforming simpler methods like moving averages that often lag or oversmooth. With the Kalman Filtered RSI, you get a refined view of momentum, making it easier to spot trends and reversals with clarity. This indicator’s ability to dynamically adapt to market changes delivers timely, reliable signals, making it a powerful addition to your trading strategy for any market or timeframe.
Penunjuk Pine Script®
oleh DeVrizii
Stochastic and RSI2 entriesStochastic and RSI2 entries, v1.0 This indicator combines Stochastic and RSI to facilitate "RSI2" entry signals. Buy signals will be shown at the bottom. The default configuration uses non-standard settings for the underlying indicators to tailor it for this type of entry strategy. This is an entry strategy that tries to find entries close to "the dip". A combination of Stochastic crossovers, VWAP, daily SMA50 and daily SMA200 are used to verify buy signals. This indicator is written for bullish signals and aims to find the start of short trends or cheap entries for longer positions. Like with any strategy, some signals will be false, and the user is advised to do some own research before using the buy signals for actual entries. Happy trading!
Penunjuk Pine Script®
oleh infoq1suh