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BB next+2This indicator extends the standard Bollinger Bands by allowing you to project future Bollinger Bands based on assumed closing prices for the next trading day (+1) and the day after (+2). Key Features: Plots standard Bollinger Bands (supports SMA, EMA, etc.) Allows manual input of assumed closing prices for the next trading day (+1) and the day after (+2) Displays projected Bollinger Bands (basis, upper, and lower) based on the input values Option to restrict display to the latest bar or confirmed bars only
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Komc tarafından
5 Min Scalping Oscillator### Overview The 5 Min Scalping Oscillator is a custom oscillator designed to provide traders with a unified momentum signal by fusing normalized versions of the Relative Strength Index (RSI), Stochastic RSI, and Commodity Channel Index (CCI). This combination creates a more balanced view of market momentum, overbought/oversold conditions, and potential reversals, while incorporating adaptive smoothing, dynamic thresholds, and market condition filters to reduce noise and false signals. Unlike standalone oscillators, the 5 Min Scalping Oscillator adapts to trending or sideways regimes, volatility levels, and higher timeframe biases, making it particularly suited for short-term charts like 5-minute timeframes where quick, filtered signals are valuable. ### Purpose and Originality of the Fusion Traditional oscillators like RSI measure momentum but can lag in volatile markets; Stochastic RSI adds sensitivity to RSI extremes but often generates excessive noise; and CCI identifies cyclical deviations but may overreact to minor price swings. The 5 Min Scalping Oscillator addresses these limitations by weighting and blending their normalized outputs (RSI at 45%, Stochastic RSI at 35%, and CCI at 20%) into a single raw oscillator value. This weighted fusion creates a hybrid signal that balances lag reduction with noise filtering, resulting in a more robust indicator for identifying reversal opportunities. The originality lies in extending this fusion with: - **Adaptive Smoothing via KAMA (Kaufman's Adaptive Moving Average):** Adjusts responsiveness based on market efficiency, speeding up in trends and slowing in ranges—unlike fixed EMAs, this helps preserve signal integrity without over-smoothing. - **Dynamic Overbought/Oversold Thresholds:** Calculated using rolling percentiles over a user-defined lookback (default 200+ periods), these levels adapt to recent oscillator behavior rather than relying on static values like 70/30, making the indicator more responsive to asset-specific volatility. - **Multi-Factor Filters:** Integrates ADX for trend detection, ATR percentiles for volatility confirmation, and optional higher timeframe RSI bias to ensure signals align with broader market context. This layered approach reduces false positives (e.g., ignoring low-volatility crossovers) and adds a confidence score based on filter alignment, which is not typically found in simple mashups. This design justifies the combination: it's not a mere overlay of indicators but a purposeful integration that enhances usefulness by providing context-aware signals, helping traders avoid common pitfalls like trading against the trend or in low-volatility chop. The result is an original tool that performs better in diverse conditions, especially on 5-minute charts for intraday trading, where rapid adaptations are key. ### How It Works The 5 Min Scalping Oscillator processes price data through these steps: 1. **Normalization and Fusion:** - RSI (default length 10) is normalized to a -1 to +1 scale using a tanh transformation for bounded output. - Stochastic RSI (default length 14) is derived from RSI highs/lows and scaled similarly. - CCI (default length 14) is tanh-normalized to align with the others. - These are weighted and summed into a raw value, emphasizing RSI for core momentum while using Stochastic RSI for edge sensitivity and CCI for cycle detection. 2. **Smoothing and Signal Line:** - The raw value is smoothed (default KAMA with fast/slow periods 2/30 and efficiency length 10) to reduce whipsaws. - A shorter signal line (half the smoothing length) is added for crossover detections. 3. **Filters and Enhancements:** - **Trend Regime:** ADX (default length 14, threshold 20) classifies markets as trending (ADX > threshold) or sideways, allowing signals in both but prioritizing alignment. - **Volatility Check:** ATR (default length 14) percentile (default 85%) ensures signals only trigger in above-average volatility, filtering out flat markets. - **Higher Timeframe Bias:** Optional RSI (default length 14 on 60-minute timeframe) provides bull/neutral/bear bias (above 55, 45-55, below 45), requiring signal alignment (e.g., bullish signals only if bias is neutral or bull). - **Dynamic Levels:** Percentiles (default OB 85%, OS 15%) over recent oscillator values set adaptive overbought/oversold lines. 4. **Signal Generation:** - Bullish (B) signals on upward crossovers of the smoothed line over the signal line, filtered by conditions. - Bearish (S) signals on downward crossunders. - Each signal includes a confidence score (0-100) based on factors like trend alignment (25 points), volatility (15 points), and bias (20 points if strong, 10 if neutral). The output includes a glowing oscillator line, histogram for divergence spotting, dynamic levels, shapes/labels for signals, and a dashboard table summarizing regime, ADX, bias, levels, and last signal. ### How to Use It This indicator is easy to apply and interpret, even for beginners: - **Adding to Chart:** Apply the 5 Min Scalping Oscillator to a clean chart (no other indicators unless explained). It's non-overlay, so it appears in a separate pane. For 5-minute timeframes, keep defaults or tweak lengths shorter for faster response (e.g., RSI 8-12). - **Interpreting Signals:** - Look for green upward triangles labeled "B" (bullish) at the bottom for potential entry opportunities in uptrends or reversals. - Red downward triangles labeled "S" (bearish) at the top signal potential exits or shorts. - Higher confidence scores (e.g., 70+) indicate stronger alignment—use these for priority trades. - Watch the histogram for divergences (e.g., price higher highs but histogram lower highs suggest weakening momentum). - Dynamic OB (green line) and OS (red line) help gauge extremes; signals near these are more reliable. - **Dashboard:** At the bottom-right, it shows real-time info like "Trending" or "Sideways" regime, ADX value, HTF bias (Bull/Neutral/Bear), OB/OS levels, and last signal—use this for quick context. - **Customization:** Adjust inputs via the settings panel: - Toggle KAMA for adaptive vs. EMA smoothing. - Set HTF to "60" for 1-hour bias on 5-min charts. - Increase ADX threshold to 25 for stricter trend filtering. - **Best Practices:** Combine with price action (e.g., support/resistance) or volume for confirmation. On 5-min charts, pair with a 1-hour HTF for intraday scalping. Always use stop-losses and risk no more than 1-2% per trade. ### Default Settings Explanation Defaults are optimized for 5-minute charts on volatile assets like stocks or forex: - RSI/Stoch/CCI lengths (10/14/14): Shorter for quick momentum capture. - Signal smoothing (5): Responsive without excessive lag. - ADX threshold (20): Balances trend detection. - ATR percentile (0.85): Filters ~15% of low-vol signals. - HTF RSI (14 on 60-min): Aligns with hourly trends. - Percentiles (OB 85%, OS 15%): Adaptive to recent data. If changing, test on historical data to ensure fit—e.g., longer lengths for less noisy assets. ### Disclaimer The 5 Min Scalping Oscillator is an educational tool to visualize momentum and does not guarantee profits or predict future performance. All signals are based on historical calculations and should not be used as standalone trading advice. Past results are not indicative of future outcomes. Traders must conduct their own analysis, use proper risk management, and consider market conditions. No claims are made about accuracy, reliability, or performance.
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Trading_Indicator_Pro tarafından
1
New RSI📌 New RSI The New RSI is a modern, enhanced version of the classic RSI created in 1978 — redesigned for today’s fast-moving markets, where algorithmic trading and AI dominate price action. This indicator combines: Adaptive RSI: Adjusts its calculation length in real time based on market volatility, making it more responsive during high volatility and smoother during calm periods. Dynamic Bands: Upper and lower bands calculated from historical RSI volatility, helping you spot overbought/oversold conditions with greater accuracy. Trend & Regime Filters: EMA and ADX-based detection to confirm signals only in favorable market conditions. Volume Confirmation: Signals appear only when high trading volume supports the move — green volume for bullish setups and red volume for bearish setups — filtering out weak and unreliable trades. 💡 How it works: A LONG signal appears when RSI crosses above the lower band and the volume is high with a bullish candle. A SHORT signal appears when RSI crosses below the upper band and the volume is high with a bearish candle. Trend and higher timeframe filters (optional) can help improve precision and adapt to different trading styles. ✅ Best Use Cases: Identify high-probability reversals or pullbacks with strong momentum confirmation. Avoid false signals by trading only when volume validates the move. Combine with your own support/resistance or price action strategy for even higher accuracy. ⚙️ Fully Customizable: Adjustable RSI settings (length, volatility adaptation, smoothing) Dynamic band sensitivity Volume threshold multiplier Higher timeframe RSI filter Color-coded background for market regime visualization This is not just another RSI — it’s a complete, next-gen momentum tool designed for traders who want accuracy, adaptability, and confirmation in every signal.
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BullBearSR tarafından
Momentum Phases📌 Overview The Momentum Phases indicator helps traders quickly identify periods of strong bullish or bearish momentum based on the relationship between a short‑term and a long‑term Moving Average (SMA). It helps traders visually distinguish between Positive 🟢 , Negative 🔴 , and Neutral ⚪ phases by plotting a dynamically colored state line and generating optional alerts when a phase change occurs. 🧠 How It Works ⦿ SMA Calculation The indicator calculates two SMAs: Short SMA (default: 7 periods) Long SMA (default: 65 periods) Both SMA lengths can be adjusted by the user. // SMA calculations smaShort = ta.sma(close, shortLen) smaLong = ta.sma(close, longLen) ⦿ Momentum Ratio A ratio is calculated: ratio = smaShort / smaLong This ratio measures how far the short‑term trend has diverged from the long‑term trend. ⦿ Threshold Levels Positive Threshold (default: 1.05) — indicates short SMA is at least 5% above the long SMA. Negative Threshold (default: 0.95) — indicates short SMA is at least 5% below the long SMA. These thresholds are user‑adjustable. ⦿ Momentum States Positive Momentum: Ratio ≥ Positive Threshold (default: 1.05) → Short SMA is at least 5% above Long SMA. Negative Momentum: Ratio ≤ Negative Threshold (default: 0.95) → Short SMA is at least 5% below Long SMA. Neutral: Ratio between the two thresholds. ⦿ State Line Plot The indicator plots a flat state line at 1.0 when in positive or negative momentum, and 0.0 when in neutral. The state line’s color changes dynamically: Green 🟢 Positive Momentum: Ratio ≥ Positive Threshold (default: 1.05) – Short SMA is at least 5% above Long SMA. Red 🔴 Negative Momentum: Ratio ≤ Negative Threshold (default: 0.95) – Short SMA is at least 5% below Long SMA. Gray ⚪ Neutral: Ratio between the two thresholds. 📈 How to Use Trend Confirmation: Use the state line color to quickly confirm the prevailing momentum. Green 🟢: Consider focusing on long setups Red 🔴: Consider focusing on short setups Gray ⚪: Consider staying neutral or waiting for stronger signals Trade Filtering: Filter trades in your existing strategy so they only align with the detected momentum phase. Early Warnings: Enable phase change alerts to get notified when market conditions shift. ⚙️ Customization SMA Periods: Adjust short and long SMA lengths to suit your trading timeframe. Thresholds: Tighten (closer to 1.00) for more frequent signals, or widen for fewer but stronger signals. 🔔 Alerts 🟢 Positive Momentum START – Stock/Security shifts into positive momentum. ⚪ Positive Momentum END – Positive momentum ends (neutral state). 🔴 Negative Momentum START – Market shifts into negative momentum. ⚪ Negative Momentum END – Negative momentum ends (neutral state). Momentum Phase Change – Any shift between Positive, Negative, or Neutral. 🎯 Add this indicator to your chart to track momentum phases like a pro — know exactly when trends start, end, or stall.
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Byte2Bull tarafından
MistaB SMC Navigation ToolkitThe MistaB SMC Navigation Toolkit is a multi-functional price action and Smart Money Concepts (SMC) tool designed to help traders quickly identify key market structure shifts, order blocks, fair value gaps (FVGs), premium/discount zones, and higher timeframe (HTF) trend alignment. This indicator integrates multiple SMC elements into one chart overlay, reducing the need for multiple scripts and improving workflow efficiency. Main Features: Automatic Order Block Detection – Identifies bullish and bearish order blocks with optional displacement and volume filters. Fair Value Gap Highlighting – Marks bullish and bearish FVG zones with optional HTF confirmation. Market Structure Shift Labels – Detects BoS and CHoCH events with fractal-based swing logic. HTF Trend Confirmation – Color-codes structure and FVGs based on higher timeframe alignment. Premium/Discount Zones – Visually divides the range for optimal trade entries. Custom Cleanup System – Automatically removes broken or filled OB/FVG zones after a user-defined delay. How to Use Apply to Your Chart Add the indicator to your preferred trading timeframe (e.g., 1H, 15M, 5M). Select your desired HTF Confirmation Timeframe in the settings. Interpreting the Chart Elements Green/Red Order Blocks: Potential demand (green) or supply (red) zones. Green/Red FVG Zones: Imbalances where price may return before continuing. Market Structure Labels: HH BoS / HL BoS → Bullish structure breaks. LH BoS / LL BoS → Bearish structure breaks. CHoCH → Change of Character (potential reversal). Premium Zone (red): Above the midline — potential selling areas in a bearish bias. Discount Zone (green): Below the midline — potential buying areas in a bullish bias. Trade Example Workflow Identify overall HTF trend (HTF label at top of chart). Wait for structure shifts (BoS/CHoCH) aligned with HTF bias. Look for OB or FVG in discount (buy) or premium (sell) zones. Manage trade risk with stop-loss below/above the zone. Disclaimer This indicator is for educational purposes only. It does not constitute financial advice and should not be relied upon for investment decisions. Trading financial markets involves significant risk, and you may lose more than your initial investment. Always do your own research, test strategies in a demo account, and consult a licensed financial advisor before trading with real capital. The creator and publisher of this script assume no responsibility for any losses incurred from its use.
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Mistab1009 tarafından
Cnagda Trading ToolCnagda Trading Tools - complete set of intraday trading 1. Trendline breakout based On ATR. 2. Live RSI, volume/candle average 20 Periods, trend direction last 34 periods, and some useful dashboard features. 3. Ma Scalp Line provide trend support and resistance + Where Line More Flat Previous Time You Also Use That Range As Support And Resistance 4. RSI based POC ( Point Of Control) indicate high Volume Area like fixed Range Volume profile 5. London session breakout with buy/sell Signal and NewYork session opening half hour range breakout with Buy/sell signal Ma Scalp Buy And Sell Signal For Short term Scalping ( 5 Min Timeframe) Based on Ema And Wma Crossover I hope these tools will improve your trading, but you should trade only after proper research, this indicator is not responsible for any loss.
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cnagda3 tarafından
8
Approx STH Unrealized Profit [Relative %]This indicator estimates the unrealized profit or loss of short-term holders (STH) without requiring on-chain data. Instead of using actual STH Realized Price (average purchase price), it employs a 155-day Simple Moving Average (SMA) to approximate the behavior of "recent buyers." How It Works The indicator calculates the percentage deviation between the current price and the 155-day SMA using the formula: (Current Price - 155 SMA) / 155 SMA * 100%. Positive values indicate profit, while negative values show loss. Key threshold levels are set at +50% (overbought) and -30% (oversold). Trading Applications Profit > 50% - STH are experiencing significant profits, suggesting potential correction. Consider taking partial profits. 0% < Profit < 50% - Moderate profits indicate the trend may continue. Maintain positions. Profit ≈ 0% - Price is near STH's average entry point, showing market indecision. -30% < Profit < 0% - STH are at a loss, potentially signaling accumulation opportunities. Profit < -30% - Extreme oversold conditions may present buying opportunities. Limitations SMA only approximates STH behavior. May produce false signals during sideways markets. SMA lag can be noticeable in strong trending markets. Recommendation For improved accuracy, combine this indicator with trend-following tools (200 EMA, Volume analysis) and other technical indicators. It serves best as a supplementary tool for identifying overbought/oversold market conditions within your trading strategy.
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ALMCorporation tarafından
RSI Divergence detector by Jaehee📌 RSI DIVERGENCE DETECTOR — Instant Detection of Regular & Hidden Divergences with Color-Coded Labels 🔍 WHAT IT IS • Detects regular and hidden divergences between price and RSI instantly, without the delay common in other divergence indicators • Displays divergences directly on the chart with color-coded labels and connecting lines for instant visual recognition • Uses different label colors for each divergence type so traders can identify setups at a glance ⚙️ HOW IT WORKS • RSI Calculation — RSI is computed from a chosen price source with adjustable length • Immediate Pivot Detection — Identifies pivots just one bar after formation for minimal delay • RSI Delta Filter — Requires a minimum RSI difference to reduce noise and false signals • Divergence Logic Regular Bullish: Price lower low • RSI higher low Regular Bearish: Price higher high • RSI lower high Hidden Bullish: Price higher low • RSI lower low Hidden Bearish: Price lower high • RSI higher high • Visual Output — Connects pivot points with lines and adds labels above/below bars in colors you set 💡 WHY THIS COMBINATION • Instant feedback — Acts faster than typical divergence tools that wait for multiple bar confirmations • All-in-one detection — Regular and hidden divergences in the same tool • Visual clarity — Distinct label colors make type recognition immediate • Customizable — Adjust RSI length, pivot sensitivity, color scheme, and filtering to your style 🆚 HOW IT DIFFERS FROM COMMON DIVERGENCE INDICATORS • Displays divergence the moment a pivot forms • Detects both regular and hidden divergences in real time • Applies RSI difference filtering for better quality • Offers full color customization for each divergence type 📖 HOW TO READ IT (CONTEXT, NOT SIGNALS) • Regular Bullish ↑ — Possible upward reversal or trend continuation after pullback • Regular Bearish ↓ — Possible downward reversal or continuation after rally • Hidden Bullish ↑ — Often a trend continuation signal in uptrends • Hidden Bearish ↓ — Often a trend continuation signal in downtrends • Always confirm with trend, momentum, or volume tools before trading 🛠 INPUTS • RSI source and length • Pivot lookback bars (left/right) • Minimum RSI difference • Custom colors for each divergence type 🎨 DESIGN NOTES • Overlay on price chart for context • Lines connect relevant pivots for clarity • Labels placed near pivot highs/lows for easy spotting • Customizable colors for personal visual preferences ⚠️ LIMITATIONS AND GOOD PRACTICE • Divergence is not a guaranteed reversal signal • Strong trends may override divergence setups • False signals can occur in low volume or choppy markets • Best used with a complete trading system and risk management 📂 DEFAULTS AND SCOPE • Works on all OHLCV instruments and timeframes • No repainting after pivot confirmation 💬 AUTHOR’S NOTE FOR REVIEW This script is not a repackaging of existing tools. It integrates immediate divergence detection, hidden divergence analysis, and visual type separation into a single, customizable package. All features interact to deliver faster, clearer market context without generating trade signals or making performance claims.
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Jaehee_H tarafından
Checklist by JaeheeThe checklist is a market context tool that consolidates seven key metrics into a single on-chart panel, helping traders quickly gauge market conditions without switching between multiple indicators. 1. Display Panel (7 metrics): ADX: Trend intensity (Above 20 often indicates a stronger, more reliable trend) EMA Structure: 5/20/60/120/240 EMA alignment (Uptrend, Downtrend, or Mixed state) Volatility: ATR regime classification (High volatility may require wider stops) Volume State: Relative to 20-bar SMA with spike multiple (High volume often confirms price moves) RSI: Current RSI(14) value (Above 70 = overbought zone, below 30 = oversold zone) Price Zone: Location within the last 20-bar range (Near High, Mid, or Near Low) Momentum Slope: MACD histogram slope (Rising suggests building momentum; Falling suggests fading momentum) 2. Purpose & Use: Designed for traders—especially beginners—who want to speed up market scanning. Keeps a concise, standardized “checklist” visible on the right side of the chart. Use as a contextual reference, not as an entry/exit signal. 3. Features: Compact label HUD anchored to the chart’s right margin. Automatic refresh on each bar close with only one label to avoid clutter. Works on any timeframe and symbol that supports OHLCV data.
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Jaehee_H tarafından
Wolf Exit Oscillator Enhanced # Wolf Exit Oscillator Enhanced ## What it is (quick take) **Wolf Exit Oscillator Enhanced** is a clean, rules-first **exit timing tool** built on the **True Strength Index (TSI)** with two optional safeguards: 1. **Signal-line crossover** (to avoid bailing on shallow dips), and 2. **EMA confirmation** (price-based “is the trend actually weakening/strengthening?” check). Use it to standardize when you **take profits, cut losers, or scale out**—especially after momentum runs hot or cold. > Works best **paired** with: > > * **ABS NR — Fail-Safe Confirm (v4.2.2)** for entries > * **ABS Companion Oscillator — Trend / Exhaustion / New Trend** for trend/exhaustion context --- ## How to use it (operational workflow) 1. **Set your bands** * `exitHigh` and `exitLow` mark “overcooked” zones on the TSI scale (default: +60 / –60). * Above `exitHigh` = momentum stretched **up** (good place to **exit shorts** or **take long profits**). * Below `exitLow` = momentum stretched **down** (good place to **exit longs** or **take short profits**). 2. **Choose strictness** * **Base mode**: the moment TSI crosses out of a band, you get an exit signal. * **Add Signal-Line Cross** (`enableSignalX = true`): require TSI to cross its signal in the same direction → **fewer, cleaner exits**. * **Add EMA Filter** (`enableEMAFilter = true`): also require **price** to confirm (e.g., long exit only if price < EMA). This avoids bailing during healthy trends. 3. **Execute with structure** * **Full exit** when a signal fires, or * **Scale out** (e.g., 50% on first signal, remainder on trail/secondary signal), or * **Move stop** to lock gains once an exit signal prints. 4. **Alerts** * Set to **“Once per bar close”** to avoid intrabar flip-flop. * Use the two provided alert names for automation (see “Alerts” below). --- ## Signals & visuals * **TSI line** (solid) and **Signal line** (dashed) with optional **histogram** (TSI − Signal). * **Horizontal bands** at `exitHigh` and `exitLow`. * **Labels**: * **Exit Long** appears when long-side momentum breaks down (below `exitLow`, plus any enabled filters). * **Exit Short** appears when short-side momentum breaks down (above `exitHigh`, plus any enabled filters). **Alerts (stable names):** * **WolfExit — Exit Long** * **WolfExit — Exit Short** --- ## Non-repainting behavior (what to expect) * The oscillator is computed with **EMAs on current timeframe**—no higher-timeframe lookahead, no repaint. * **Intrabar**: TSI/Signal can fluctuate; use **bar-close evaluation** (and alert setting “Once per bar close”) to lock signals. * If you enable the EMA filter, that check is also evaluated at bar close. --- ## Every input explained (and how changing it alters behavior) ### Momentum engine (TSI) * **TSI Long EMA Length (`tsiLongLen`, default 25)** Higher = smoother, slower momentum; fewer signals. Lower = twitchier, more signals. * **TSI Short EMA Length (`tsiShortLen`, default 13)** Fine-tunes responsiveness on top of the long length. Lower short → snappier TSI. * **TSI Signal Line Length (`tsisigLen`, default 7)** Higher = slower signal line (harder to cross) → fewer signals. Lower = easier crosses → more signals. ### Thresholds (the bands) * **Exit Threshold High (`exitHigh`, default +60)** Raise to demand **stronger** overbought before signaling short exits / long profit-takes. Lower to trigger sooner. * **Exit Threshold Low (`exitLow`, default −60)** Raise (toward 0) to trigger **earlier** on longs; lower (more negative) to wait for deeper downside stretch. ### Confirmation layers * **Require Signal Line Crossover (`enableSignalX`, default true)** On = TSI must cross its signal (same direction as exit) → **filters out shallow wiggles**. Off = faster, more frequent exits. * **Enable EMA Confirmation Filter (`enableEMAFilter`, default true)** On = require **price < EMA** for **Exit Long** and **price > EMA** for **Exit Short**. * **EMA Exit Confirmation Length (`exitEMALen`, default 50)** Higher = **trendier** filter (harder to flip) → fewer exits; Lower = more reactive → more exits. ### Visuals * **Show Histogram (`showHist`)** On = quick visual for TSI–Signal spread (helps spot weakening momentum before a cross). * **Plot Exit Signals (`showSignals`)** Toggle labels if you only want the lines/bands with alerts. --- ## Tuning recipes (quick, practical) * **Strong trend days (avoid premature exits)** * Keep **`enableSignalX = true`** and **`enableEMAFilter = true`** * Increase **`exitEMALen`** (e.g., 80) * Consider raising **`exitHigh`** to 65–70 (and lowering **`exitLow`** to −65/−70) * **Choppy/range days (exit faster, take the cash)** * **`enableEMAFilter = false`** (don’t wait for price filter) * **`enableSignalX`** optional; try off for quicker responses * Bring bands closer to **±50** to take profits earlier * **Scalping / lower timeframes** * Shorten **TSI lengths** a bit (e.g., 21/9/5) * Consider **`exitHigh=55 / exitLow=-55`** * Keep **histogram on** to visualize momentum flip risk * **Swing trading / higher timeframes** * Lengthen **TSI** (e.g., 35/21/9) and **`exitEMALen`** (e.g., 100) * Wider bands (±65 to ±75) to catch bigger moves before exiting --- ## Playbooks (how to actually trade it) * **Entry from ABS NR FS, exit with Wolf** * Take entries from **ABS NR — Fail-Safe Confirm** (triangle). * Use **Wolf Exit** to scale out: 50% on first exit label, trail remainder with price/EMA or your stop logic. * **Pyramid & protect** * Add on re-accelerations (TSI pulls back toward zero without breaching the opposite band). * The first **Exit** signal → take partial, raise stop to last higher low / lower high. * **Mean-reversion fade management** * When fading with ABS NR (KC band pokes + stretched |Z|), target the first opposite **Exit** signal as your “don’t overstay” cue. --- ## Suggested starting points * **Day trading (5–15m):** * TSI: **25 / 13 / 7** (default) * Bands: **+60 / −60** * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 50** * Alerts: **Once per bar close** * **Scalping (1–3m):** * TSI: **21 / 9 / 5** * Bands: **±55** * Confirmations: **SignalX = on**, **EMA Filter = off** (optional for speed) * **Swing (1h–D):** * TSI: **35 / 21 / 9** * Bands: **+65 / −65** (or ±70) * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 100** --- ## Best-practice pairings * **Entries:** **ABS NR — Fail-Safe Confirm (v4.2.2)** * Take ABS triangles; let Wolf standardize exits so you’re not guessing. * **Context:** **ABS Companion Oscillator** * Prefer holding longer when the companion stays above (for longs) or below (for shorts) its neutral band and **no EXH tag** prints. * If companion flags **EXH** against your position, tighten stops; Wolf’s next exit signal becomes high priority. --- ## Notes & disclaimers * This is an **exit signal tool**, not a strategy or broker. * Signals are strongest when aligned with your **entry logic** and a **risk framework** (position sizing, stops, partials). * All evaluations are **current timeframe**; no higher-timeframe lookahead is used. * Markets change—tune the bands and confirmations per symbol/timeframe. --- **Tip:** Keep your alerts simple—one for **Exit Long**, one for **Exit Short**, **Once per bar close**. Use partial exits on the first signal, and let your stop/trailing logic handle the rest.
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jensenvilhelm tarafından
Parabolic Stoch SAR VisualizerParabolic Stoch SAR Visualizer — Momentum-Driven Trend Precision Tool Overview: Parabolic Stoch SAR Visualizer is a thoughtfully engineered hybrid indicator that blends momentum oscillation and trend-following mechanics into one robust system. By applying a custom Parabolic SAR calculation directly on a double-smoothed stochastic oscillator (rather than on price), it generates cleaner signals with enhanced trend detection and fewer false positives than typical Parabolic RSI or standard SAR variants. Unique Functionality: Momentum smoothing : The base stochastic %K undergoes double smoothing via consecutive simple moving averages, significantly cutting down random noise and erratic swings common in raw stochastic readings. This stabilizes momentum tracking, isolating true price strength and weakness. Custom Parabolic SAR on smoothed momentum : Traditional SAR algorithms operate on price data, acting as trailing stops. This indicator repurposes SAR to work on smoothed stochastic values, effectively converting it into a momentum-driven directional filter. This yields a more adaptive and responsive trend signal focused on genuine momentum shifts instead of price noise. Bounded SAR range and adjustable acceleration : SAR values are mathematically restricted between 0 and 100, aligning with the stochastic scale to prevent distortions. Traders can customize acceleration parameters (start, increment, max) to fine-tune trend sensitivity relative to market volatility or specific strategies. Signal clarity through filterin g: Minimum bar spacing and minimum SAR movement thresholds between plotted dots reduce chart clutter, highlighting only meaningful trend changes and filtering out insignificant fluctuations. Enhanced visuals : The oscillator line smoothly transitions its color gradient between defined uptrend and downtrend hues, intuitively signaling momentum strength. Parabolic SAR dots are offset from the oscillator line with multi-layered glow effects, making trend flips easy to spot at a glance. Trading Application: Trend identification : Momentum-based SAR dots offer precise marking of trend shifts, helping traders avoid false breakouts and premature trades. Entry and exit timing : Combining the double-smoothed stochastic oscillator and SAR dots creates a reliable framework to confirm momentum shifts and optimal trade entries or exits. Customizable for volatility regimes : Adjustable acceleration and filtering parameters allow scalpers to increase signal sensitivity, while swing traders can dial back noise for smoother trend recognition. Visual clarity for fast decisions : Gradient color coding and glowing SAR dots facilitate immediate momentum assessment without complex analysis, empowering quicker, more confident trade actions. Advantages over Parabolic RSI and similar indicators: Parabolic RSI’s direct application of SAR on RSI often results in noisy, choppy signals prone to whipsaws. This indicator’s double-smoothed stochastic foundation delivers a cleaner, steadier signal. Applying SAR to smoothed momentum rather than price transforms it into a directional filter that better captures true market strength with reduced lag. Adaptive plotting thresholds and enhanced visuals minimize clutter and ambiguity, improving trader focus and execution speed.
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BOSWaves tarafından
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) . While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach: It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility . The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio. This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging. ──────────────────────────────────────────────────────────── ╭────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ How It Works ╰────────────╯ 1. Standard Deviation Calculation ‎ ‎ ‎ ‎ ‎ • Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`). ‎ 2. Directional Separation ‎‎ ‎ ‎ ‎ • Volatility on up bars (`chg > 0`) is treated as upward volatility . ‎ ‎ ‎ ‎ ‎‎ • Volatility on down bars (`chg < 0`) is treated as downward volatility . 3. Rolling Sum ‎ ‎ ‎ ‎ ‎ • Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`. 4. Relative Volatility Mass ‎‎ ‎ ‎ ‎ • The two sums are added together to get the total volatility mass for the rolling window. Formula: RVM = Σ(σ up) + Σ(σ down) where σ is the standard deviation over `stdDevLen`. ╭────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Key Features ╰────────────╯ Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines. Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period. Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA. Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier. Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source. ╭─────╮ ‎ ‎ ‎ ‎ ‎ ‎ Usage ╰─────╯ Trend Confirmation: High RVM values can confirm strong trending conditions. Breakout Detection: Spikes in RVM often precede or accompany price breakouts. Volatility Cycle Analysis: Compare periods of contraction and expansion. RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters. Consider normalizing or using smoothing for easier visual comparison. ╭────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Example Settings ╰────────────────╯ Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10` Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20` Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history. ╭───────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Notes & Limitations ╰───────────────────╯ Not a directional signal by itself — use alongside price structure, volume, or other indicators. Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness. Because it sums, not averages, values will scale with both volatility and chosen window size. ╭───────╮ ‎ ‎ ‎ ‎ ‎ ‎ Credits ╰───────╯ Based on the Relative Volatility Index concept by Donald Dorsey (1993). TradingView SciQua - Joshua Danford
Pine Script® göstergesi
JoshuaDanford tarafından
1
BTFD 5 Break-Out indyThe "BTFD 5 Break-Out indy" indicator uses background colors and buy/sell triangles to visually represent trading signals and position status based on its logic. Here's a brief explanation of the logic behind the green/red background and buy/sell triangles: - **Green/Red Background**: - **Green Background**: Displayed when the indicator is in a "long" position, meaning a buy signal has been triggered and the position is active. This indicates the market is in a favorable state for holding a long trade, based on conditions like an oversold breakout or strong momentum. - **Red Background**: Shown when not in a long position, either before entering a trade or after exiting due to a sell signal (e.g., trend reversal, overbought conditions, or stop-loss hit). It signals a neutral or unfavorable state for buying. - **Buy/Sell Triangles**: - **Buy Triangles (Green, Below Bar)**: Plotted when a buy signal is triggered, indicating a high-probability entry point. This occurs when the market shows signs of recovery from an oversold state (e.g., a significant upward shift in the smoothed Z-score) or strong momentum (e.g., a rapid change in the rate-of-change metric). The triangle marks the exact bar where the long position is initiated. - **Sell Triangles (Red, Above Bar)**: Plotted when an exit condition is met, signaling the close of a long position. Exits are triggered by a trend reversal (e.g., a trailing moving average turning bearish), a shift to overbought conditions, or a stop-loss breach. The triangle marks the bar where the position is closed. In summary, the green background reflects an active long trade, while red indicates no position. Buy triangles signal entry points based on oversold breakouts or momentum, and sell triangles mark exits due to trend changes, reversals, or losses, aligning with institutional dip-buying strategies.
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AnuarASM tarafından
1
SMT Oscillator: Smarter Money Divergence Detector [PhenLabs]📊Phenlabs - SMT Oscillator: Smarter Money Divergence Detector Version: PineScript™v6 📌Description The SMT Oscillator is a sophisticated tool designed to identify smart money divergence between two correlated assets. By analyzing the momentum and volume-weighted price action of a primary and secondary symbol, traders can spot subtle shifts in market dynamics that often precede significant price movements. This indicator is built to provide a clearer, more filtered view of inter-market relationships, solving the common problem of false signals and market noise. Its primary purpose is to equip traders with a quantifiable edge in detecting potential reversals or continuations that are not obvious on a standard price chart. 🚀Points of Innovation Dual-Symbol Divergence Core: Directly compares momentum (RSI or MACD) between two user-selected symbols to pinpoint true SMT divergence. Volume-Weighted Analysis: Integrates volume delta into the divergence calculation, giving more weight to moves backed by significant market participation. Entropy Filter for Noise Reduction: Employs an entropy calculation to filter out low-quality signals during choppy or consolidating market conditions. Predictive Forecast Line: Utilizes a linear regression model to project the oscillator’s future trajectory, offering a forward-looking glimpse of potential momentum shifts. Customizable Signal Sensitivity: Allows fine-tuning of overbought and oversold levels to adapt to different market volatilities and trading styles. Integrated Signal Alerts: Provides built-in alerts for bullish/bearish zero crosses and overbought/oversold conditions. 🔧Core Components Momentum Engine: The user can select either RSI or MACD as the underlying engine for the divergence calculation, allowing for flexibility in analysis. Normalization Function: Price data from both symbols is normalized using percentage change to ensure a true “apples-to-apples” comparison, regardless of their nominal price differences. Divergence Calculator: The core algorithm that subtracts the secondary symbol’s momentum from the primary’s and normalizes the result using the combined standard deviation. Smoothing Mechanism: An Exponential Moving Average (EMA) is applied to the raw oscillator output to reduce choppiness and provide a clearer signal line. 🔥Key Features Multi-Asset Comparison: Go beyond single-asset analysis by comparing correlated pairs like ES/NQ or BTC/ETH to uncover hidden trading opportunities. Heatmap Visualization: An optional heatmap mode provides an intuitive visual representation of divergence strength, making it easier to gauge market sentiment at a glance. Configurable Lookback and Timeframe: Adjust the lookback period and analysis timeframe to suit your specific strategy, from short-term scalping to long-term trend analysis. Signal Markers: Visual markers are plotted directly on the chart for bullish and bearish zero-line crossovers, providing clear entry and exit signals. 🎨Visualization SMT Oscillator Line: The primary visual element, colored blue for bullish (positive) divergence and orange for bearish (negative) divergence. Zero Line: A solid horizontal line at the zero level, indicating the equilibrium point between the two assets. Crossovers of this line signal a shift in relative strength. Overbought/Oversold Zones: Dotted lines at the +80 and -80 levels (customizable) that highlight extreme divergence readings, often indicating potential exhaustion points. Forecast Line: A predictive line that plots the anticipated path of the oscillator, giving traders an advanced warning of potential changes in momentum. 📖Usage Guidelines Setting Categories Primary Symbol Default: (Chart Symbol) Description: The main asset you are analyzing. Leave blank to use the symbol currently on your chart. Secondary Symbol Default: CME_MINI:ES1! (used with NASDAQ futures due to inherent heavy correlation Description: The asset to compare against the primary symbol. Lookback Period Default: 14 Range: 8-100 Description: Controls the calculation window for momentum (RSI/MACD). Higher values result in a smoother, less sensitive oscillator. Divergence Type Default: RSI Options: RSI, MACD Description: Choose the momentum indicator to use for the divergence calculation. Enable Volume Weighting Default: true Description: When enabled, gives more weight to divergence signals that are accompanied by significant volume. ✅Best Use Cases Identifying high-probability reversal points by spotting divergence in overbought or oversold territory. Confirming the strength of a trend by observing sustained positive or negative divergence. Pairs trading by taking a long position on the outperforming asset and a short position on the underperforming one during a divergence. Risk management by recognizing when a current trend is losing its underlying momentum. ⚠️Limitations Requires Correlated Assets: The indicator’s effectiveness is highly dependent on the selection of two assets with a known correlation (e.g., ES and NQ). Not a Standalone System: Divergence signals should be used in conjunction with other forms of analysis (price action, market structure) and not as a complete trading system. Lagging by Nature: As it is based on moving averages and past price data, the oscillator is inherently lagging and may not capture all rapid price changes. 💡What Makes This Unique Combined Momentum & Volume: Unlike standard oscillators, it fuses momentum with volume delta for a more robust “Smart Money” perspective. Noise-Filtering Mechanism: The proprietary entropy filter is a unique feature designed to weed out insignificant market chatter and focus on high-conviction signals. 🔬How It Works Data Normalization: The script first normalizes the price data of the two selected symbols into percentage changes. This ensures that the comparison is fair, regardless of the difference in their price scales. Momentum Calculation: It then calculates the chosen momentum value (either RSI or MACD histogram) for each of the normalized price series. Divergence Computation: The core of the indicator lies in subtracting the momentum of the secondary symbol from the primary one. This raw divergence is then optionally weighted by volume and filtered for market noise (entropy) to produce the final oscillator value. 💡Note: For best results, use this indicator on adequate timeframes to filter out market noise. Always confirm signals with price action analysis before entering a trade.
Pine Script® göstergesi
PhenLabs tarafından
RSI Z-score | Lemniscuss🧠 Introducing RSI Z-Score (RSI-Z) by Lemniscuss 🛠️ Overview RSI Z-Score (RSI-Z) is a momentum-based market condition detector that transforms the classic Relative Strength Index (RSI) into a standardized volatility framework. By applying Z-Score normalization to the RSI, this tool allows traders to identify statistically significant deviations in momentum — cutting through noise and highlighting high-probability turning points. RSI-Z is optimized for trend inflection detection and overextension spotting, providing both visual clarity and actionable trade signals with dynamic labeling and optional bar coloring. 🔍 How It Works 1️⃣ RSI Foundation The system starts with a standard RSI calculation on a user-defined source and length (default: 45). 2️⃣ Z-Score Normalization The RSI values are standardized by subtracting their mean and dividing by the standard deviation over the same lookback. This converts RSI into a statistical measure — revealing how many standard deviations current momentum is from its mean. 3️⃣ Threshold Logic Two customizable thresholds define actionable zones: • Long Threshold → Signals bullish momentum shifts when crossed upward • Short Threshold → Signals bearish momentum shifts when crossed downward 4️⃣ Signal State Tracking A state variable locks in a bias (Long / Short / Neutral) until an opposing trigger appears, ensuring clear and consistent market bias mapping. ✨ Key Features 🔹 Statistically Driven Momentum Detection — Moves beyond fixed RSI overbought/oversold levels by using standard deviations for adaptive accuracy. 🔹 Customizable Thresholds — Fine-tune long/short triggers for different volatility environments. 🔹 Clear Visual Feedback — Candle coloring and signal labels make trade setups instantly recognizable. 🔹 Overlay-Friendly — Works directly on your main chart or in a separate pane. ⚙️ Custom Settings • Source: Price stream for RSI calculation (default: close) • RSI Length: Lookback period for RSI & Z-Score (default: 45) • Long Threshold: Z-score value for bullish signal (default: 1) • Short Threshold: Z-score value for bearish signal (default: -1.9) • Long/Cash Signal Labels: Toggle for "Long"/"Short" markers • Bar Coloring: Toggle for trend-based candle coloring 📌 Trading Applications ✅ Trend Reversals → Spot statistically significant shifts in momentum before traditional RSI signals trigger ✅ Overextension Monitoring → Identify when momentum has deviated too far from the mean ✅ Mean Reversion Setups → Use extreme Z-score values as potential reversion points ✅ Bias Confirmation → Combine with trend tools for higher conviction entries/exits 📌 Conclusion RSI-Z by Lemniscuss offers a clean, statistics-backed upgrade to the classic RSI. By framing momentum in standard deviation terms, it empowers traders to separate normal fluctuations from truly significant market moves — making it a valuable tool for both trend traders and mean reversion specialists. 🔹 Summary Highlights 1️⃣ Statistical upgrade to RSI for higher-quality signals 2️⃣ Threshold-based, customizable long/short triggers 3️⃣ Visual candle coloring & signal labels for clarity 4️⃣ Adaptable to trend, swing, or intraday strategies 📌 Disclaimer: Past performance is not indicative of future results. No indicator guarantees profitability — always test and manage risk appropriately.
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lemniscuss tarafından
Minimalist RSI - Nasdaq (14) with Volume Filter and AlertsDescription: This indicator shows the standard RSI (period 14) adapted for Nasdaq, with a clean and minimalist design. It adds visual levels for overbought (75) and oversold (25), plus an optional centerline 50 to better interpret momentum. It incorporates a high volume visual filter to confirm signals and avoid false entries in low-interest conditions. Buy and sell signals are based on RSI crosses in extreme zones, optionally filtered by volume to improve reliability. You can enable automatic alerts to receive notifications when important signals occur. How to use: Watch the RSI and its position relative to overbought/oversold zones and the 50 line. Wait for high volume confirmation for greater reliability (you can disable this filter if preferred). Use buy and sell signals alongside your price action and overall context analysis to make decisions. Set alerts to not miss opportunities. Important Notice: This indicator is a support tool, not a complete strategy. Trading involves risks and no guarantees. Always use risk management and test the indicator on a demo before using it live. Personal note: This is my first script and I would love to receive constructive feedback to improve and offer better tools to the community. Thanks for trying it! Motivational phrase: “No risk, no reward.”
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ShanksMaster tarafından