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חפש סקריפטים עבור "scalping"

XAUUSD Buy/Sell Alerts with SL & TPThis custom TradingView indicator identifies high-probability buy and sell signals on XAUUSD using EMA crossovers combined with RSI confirmation. Designed for precision entries, it automatically calculates optimal Stop Loss (SL) and Take Profit (TP) levels based on user-defined pip distances. Key Features: Fast and Slow EMA crossover for trend direction RSI filter for momentum confirmation Dynamic SL and TP levels to manage risk and reward Visual buy/sell signals plotted on chart Real-time alerts with detailed messages including entry price, SL, and TP Suitable for multiple timeframes and trading styles Perfect for traders seeking clear signals with built-in risk management for scalping or swing trading XAUUSD.
אינדיקטור Pine Script®
מאת ‎alexandrossolomou1‎
FlowFusion Money Flow — FP + VWAP Drift + PVT (−100..+100)Title (ASCII only) FlowFusion Money Flow — Flow Pressure + Rolling VWAP Drift + PVT (Normalized −100..+100) Short Description Original money-flow oscillator combining Flow Pressure, Rolling VWAP Drift, and PVT Momentum into one normalized score (−100..+100) with a signal line, thresholds, optional component plots, and ready-made alerts. Full Description (meets “originality & usefulness”) What’s original FlowFusion Money Flow is not a generic mashup. It builds a single score from three complementary, volume-aware components that target different facets of order flow: Flow Pressure (FP) — In-bar directional drive scaled by relative volume. Drive = close − open max ⁡ ( high − low ,  tick ) ∈ = max(high−low, tick) close−open ​ ∈ . Relative Volume = volume average volume over  𝑓 𝑝 𝐿 𝑒 𝑛 = average volume over fpLen volume ​ . 𝐹 𝑃 𝑟 𝑎 𝑤 = Drive × RelVol FP raw ​ =Drive×RelVol then squashed (softsign) to . Why it belongs: distinguishes real pushes (big body and big volume) from noise. Rolling VWAP Drift — Direction of VWAP itself over a rolling window, normalized by ATR. 𝑉 𝑊 𝐴 𝑃 𝑡 = ∑ ( 𝑇 𝑃 × 𝑉 𝑜 𝑙 ) ∑ 𝑉 𝑜 𝑙 VWAP t ​ = ∑Vol ∑(TP×Vol) ​ over vwapLen. Drift = 𝑉 𝑊 𝐴 𝑃 𝑡 − 𝑉 𝑊 𝐴 𝑃 𝑡 − 1 𝐴 𝑇 𝑅 = ATR VWAP t ​ −VWAP t−1 ​ ​ → squashed to . Why it belongs: persistent VWAP movement signals sustained accumulation/distribution. PVT Momentum — Price-Volume Trend standardized (z-score) and squashed. 𝑃 𝑉 𝑇 𝑡 = 𝑃 𝑉 𝑇 𝑡 − 1 + 𝑉 𝑜 𝑙 × Δ 𝐶 𝑙 𝑜 𝑠 𝑒 𝐶 𝑙 𝑜 𝑠 𝑒 𝑡 − 1 PVT t ​ =PVT t−1 ​ +Vol× Close t−1 ​ ΔClose ​ . 𝑧 = 𝑃 𝑉 𝑇 − SMA ( 𝑃 𝑉 𝑇 ) StDev ( 𝑃 𝑉 𝑇 ) z= StDev(PVT) PVT−SMA(PVT) ​ → squashed to . Why it belongs: captures volume-weighted trend pressure without relying on price alone. Composite score: Score = 𝑤 𝐹 𝑃 ⋅ 𝐹 𝑃 + 𝑤 𝑉 𝑊 𝐴 𝑃 ⋅ 𝑉 𝑊 𝐴 𝑃 _ 𝐷 𝑟 𝑖 𝑓 𝑡 + 𝑤 𝑃 𝑉 𝑇 ⋅ 𝑃 𝑉 𝑇 _ 𝑀 𝑜 𝑚 𝑤 𝐹 𝑃 + 𝑤 𝑉 𝑊 𝐴 𝑃 + 𝑤 𝑃 𝑉 𝑇 Score= w FP ​ +w VWAP ​ +w PVT ​ w FP ​ ⋅FP+w VWAP ​ ⋅VWAP_Drift+w PVT ​ ⋅PVT_Mom ​ with a Signal = SMA(Score, sigLen). Thresholds mark strong accumulation/distribution zones. How it works (step-by-step) Compute FP, VWAP Drift, PVT Momentum. Normalize each to the same scale. Weighted average → FlowFusion Score. Smooth with a Signal line to reduce whipsaw. Optional background shading when Score exceeds thresholds. How to use Direction filter: Score > 0 favors longs; Score < 0 favors shorts. Momentum turns: Score crosses above Signal → setup for long; below → setup for short. Strength zones: Above Upper Threshold (default +40) = strong buy pressure; below Lower (−40) = strong sell pressure. Confluence: Best near S/R, trendlines, or HTF bias. For scalping on 1–5m, consider sigLen 9–13 and thresholds ±40 to ±50. Alerts included: zero cross, zone entries, and Score/Signal crossovers. Inputs (key) fpLen (20): relative-volume lookback for Flow Pressure. vwapLen (34): rolling VWAP window. pvtLen (50): PVT z-score window. sigLen (9): Signal smoothing. Weights: wFP, wVWAP, wPVT to bias the blend. Thresholds: upperBand / lowerBand (defaults +40/−40). Display: toggle component plots and background shading. Best practices Trending markets: increase wVWAP (VWAP Drift) or widen thresholds. Ranging markets: increase wFP and wPVT; take quicker profits. News: wait for bar close confirmation or reduce size. Data quality: use consistent volume feeds (especially in crypto). Limitations Oscillators can stay extreme in strong trends; use structure/trend filters. Volume anomalies (illiquid pairs, API glitches) can distort signals—sanity-check with another venue when possible. Disclaimer This indicator is for educational purposes only and is not financial advice. Trading involves risk; past performance does not guarantee future results. Always paper-trade first and use appropriate risk controls.
אינדיקטור Pine Script®
מאת ‎fts4sure‎
LogPressure Envelope [BOSWaves]LogPressure Envelope – Adaptive Volatility & Trend Visualizer Overview LogPressure Envelope is a specialized trading tool designed to normalize market behavior using logarithmic price scaling while providing an adaptive framework for volatility and trend detection. The indicator calculates a log-based moving average midline, surrounds it with asymmetric volatility envelopes, and replaces the conventional cloud with progressive fan lines to present price action in a more interpretable form. By integrating rate-of-change midline coloring, fading trend strength, and structured buy/sell markers, LogPressure Envelope simplifies the reading of complex market dynamics. Its design makes it suitable for multiple trading approaches, including scalping, intraday, and swing trading, where volatility behavior and trend shifts must be understood quickly and objectively. Unlike static envelope indicators, LogPressure Envelope adapts continuously to price scale and volatility conditions. It evaluates log-transformed prices, applies configurable moving average methods (EMA, SMA, WMA), and derives asymmetric standard-deviation bands for both upside and downside moves. These envelopes are projected as fan lines with adjustable opacity, producing a layered volatility map that evolves with the market. This system ensures each visual element—midline shading, candle coloring, fan structure, and signal markers—reflects real-time market conditions, allowing traders to interpret volatility expansion, contraction, and directional bias with clarity. How It Works The foundation of LogPressure Envelope is the logarithmic transformation of price. By operating in log space, the indicator removes distortions caused by large nominal price differences across assets, enabling consistent analysis of both low-priced and high-priced instruments. A moving average of log prices is calculated (EMA, SMA, or WMA depending on user input) and then re-converted to normal price scale, forming the log midline. Standard deviation of log prices is then measured over a separate period, with independent multipliers for upside and downside deviations. This asymmetry captures the fact that markets often expand differently in bullish versus bearish phases. Instead of plotting a filled cloud, the envelope is expressed as ten equidistant fan lines stretching from the lower to upper boundary. Each line is shaded progressively to visualize volatility clustering and directional strength without overloading the chart. Trend determination is smoothed using a fade mechanism: shifts in bias do not flip instantly but gradually move toward the new state, producing fewer false transitions. Buy and sell markers are generated when trend strength crosses confirmation thresholds, ensuring signals are event-driven and contextually meaningful. Signals and Visuals LogPressure Envelope provides multiple layers of structured signals: Midline Bias – Central moving average colored by rate-of-change, reflecting directional acceleration or deceleration. Volatility Fan – Ten progressive lines forming a gradient between lower and upper bands, visually encoding volatility spread. Buy Signals – Labels below bars when upward trend strength is confirmed. Sell Signals – Labels above bars when downward trend strength is confirmed. Candle Coloring – Optional shading of candles based on trend alignment with the log midline, highlighting bullish, bearish, or neutral conditions. These signals remain clear even during high-volatility phases, with visual hierarchy maintained through progressive opacity control. Interpretation Trend Analysis : Midline direction and candle coloring provide continuous feedback on prevailing bias. Upward-sloping midlines with blue shading indicate bullish phases, while downward slopes with orange shading confirm bearish conditions. Volatility and Risk Assessment : Expansion of fan lines indicates rising volatility and potential breakout conditions; contraction indicates consolidation and possible mean reversion. Signal Confirmation : Buy and sell markers validate transitions when trend strength thresholds are crossed, aligning with volatility envelope dynamics. Market Context : Asymmetric envelopes allow traders to see where bearish acceleration differs from bullish expansion, improving interpretation of liquidity conditions and institutional pressure. Strategy Integration LogPressure Envelope can be applied across trading styles: Trend Following : Enter trades in the direction of midline bias, confirmed by buy or sell markers. Pullback Entries : Use midline retests during trending conditions as lower-risk continuation points. Volatility Breakouts : Identify sharp expansions in fan line spacing as early signals of directional moves. Reversal Strategies : Fade extreme envelope touches when momentum shows exhaustion and fan contraction begins. Multi-Timeframe Confirmation : Align signals from higher and lower timeframes to reduce noise and validate trade setups. Stop-loss levels can be set near the opposite envelope boundary, while targets may be managed through progressive volatility zones or midline convergence. Advanced Techniques For greater precision, LogPressure Envelope can be combined with other analytical tools: Pair with volume or liquidity measures to validate breakout or reversal conditions. Use momentum indicators to confirm ROC-based midline bias. Track sequences of fan line expansions and contractions to anticipate regime shifts in volatility. Apply across multiple timeframes to monitor how volatility clusters align at different market scales. Adjusting parameters such as envelope multipliers, moving average type, and fade bars allows the indicator to adapt to diverse asset classes and volatility environments. Inputs and Customization Midline Type : Select EMA, SMA, or WMA. Line Opacity : Control visibility of fan lines. Enable Candle Coloring : Toggle trend-based bar shading. MA Length / StdDev Length : Define periods for midline and volatility calculation. Multipliers : Set asymmetric scaling for upside and downside envelopes. Fade Bars : Control smoothness of trend strength transitions. Fan Lines : Adjust number of envelope subdivisions for visualization granularity. Why Use LogPressure Envelope LogPressure Envelope translates complex volatility and trend interactions into a structured and adaptive framework. By combining logarithmic normalization, asymmetric standard deviation envelopes, and smoothed trend confirmation, it allows traders to: Normalize price analysis across assets of different scales. Visualize volatility expansion and contraction in real time. Identify and confirm directional shifts with objective signal markers. Apply a disciplined system for trend, breakout, and reversal strategies. This indicator is designed for traders who want a systematic, visually clear approach to volatility-based market analysis without relying on static bands or arbitrary scaling.
אינדיקטור Pine Script®
מאת ‎BOSWaves‎
5
Session Open Candle MarkerThe "Session Open Candle Marker" is a Pine Script indicator designed for forex and futures traders using Smart Money Concepts (SMC) and RP Profits-inspired strategies. It marks the 15-minute opening range candles for the Asia, London, and NY sessions, where institutional "big players" often gather liquidity. Each session’s range is drawn as a rectangle with a customizable midpoint line, ideal for spotting breakouts, retests, and liquidity sweeps. Features Session Open Ranges: Plots rectangles for the 15m open candles of Asia (03:00 EEST), London (10:00 EEST), and NY (15:00 EEST), corresponding to 01:00, 08:00, and 13:00 GMT+1. Customizable Visualization: Toggle each session (Asia, London, NY) on/off. Independent high/low label toggles for each session. Adjustable rectangle color, midpoint line color, style (solid/dashed/dotted), and width. Customizable rectangle duration (default: 96 bars, ~24 hours on 15m). Timezone Flexibility: Default times are set for EEST (UTC+3). Adjust session inputs for your chart’s timezone (e.g., GMT+1: Asia 01:00, London 08:00, NY 13:00; UTC: Asia 00:00, London 07:00, NY 12:00). Clean Design: Rectangles and labels update dynamically, with proper cleanup to avoid clutter. Usage: Setup: Add to a 15m chart (e.g., EURUSD, ES1!). Check your chart’s timezone (Chart Settings > Symbol > Timezone) and adjust session times if needed. Settings: Toggle sessions and labels to focus on desired ranges (e.g., London and NY for high volatility). Customize colors, midpoint line style/width, and rectangle duration. Trading: Breakouts/Retests: Trade breakouts above/below the rectangle high/low, with retests back to the range or midpoint (aligned with RP Profits scalping). Liquidity Sweeps: Watch for price sweeping session highs/lows, reversing for entries (SMC concept).
אינדיקטור Pine Script®
מאת ‎alexbejuandres123‎
Signal Hunter Pro - GKDXLSignal Hunter Pro - GKDXL combines four powerful technical indicators with trend strength filtering and volume confirmation to generate reliable BUY/SELL signals. This indicator is perfect for traders who want a systematic approach to market analysis without the noise of conflicting signals. 🔧 Core Features 📈 Multi-Indicator Signal System Moving Averages: EMA 20, EMA 50, and SMA 200 for trend analysis Bollinger Bands: Dynamic support/resistance with price momentum detection RSI: Enhanced RSI logic with smoothing and multi-zone analysis MACD: Traditional MACD with signal line crossovers and zero-line analysis 🎛️ Advanced Filtering System ADX Trend Strength Filter: Only signals when trend strength exceeds threshold Volume Confirmation: Ensures signals occur with adequate volume participation Multi-Timeframe Logic: Works on any timeframe from 1m to 1D and beyond 🚨 Intelligent Signal Generation Requires 3 out of 4 indicators to align for signal confirmation Separate bullish and bearish signal conditions Real-time signal strength scoring (1/4 to 4/4) Built-in alert system for automated notifications ⚙️ Customizable Parameters 📊 Technical Settings Moving Averages: Adjustable EMA and SMA periods Bollinger Bands: Configurable length and multiplier RSI: Customizable length, smoothing, and overbought/oversold levels MACD: Flexible fast, slow, and signal line settings 🎯 Risk Management Risk Percentage: Set your risk per trade (0.1% to 10%) Reward Ratio: Configure risk-to-reward ratios (1:1 to 1:5) ADX Threshold: Control minimum trend strength requirements 🖥️ Display Options Indicator Visibility: Toggle individual indicators on/off Information Table: Optional detailed status table (off by default) Volume Analysis: Real-time volume vs. average comparison 🎨 Visual Elements 📈 Chart Indicators EMA Lines: Blue (20) and Orange (50) exponential moving averages SMA 200: Gray long-term trend line Bollinger Bands: Upper/lower bands with semi-transparent fill Clean Interface: Minimal visual clutter for clear analysis 📋 Information Table (Optional) Real-time indicator status with ✓/✗/— symbols Current signal strength and direction ADX trend strength measurement Volume confirmation status No-signal reasons when conditions aren't met 🔔 Alert System 📢 Three Alert Types BUY Signal: Triggered when 3+ indicators align bullishly SELL Signal: Triggered when 3+ indicators align bearishly General Alert: Any signal detection for broader monitoring 📱 Alert Messages Clear, actionable alert text Includes indicator name for easy identification Compatible with webhook integrations 🎯 How It Works 📊 Signal Logic Indicator Assessment: Each of the 4 indicators is evaluated as Bullish/Bearish/Neutral Consensus Building: Counts aligned indicators (minimum 3 required) Filter Application: Applies trend strength and volume filters Signal Generation: Generates BUY/SELL when all conditions are met 🔍 Indicator States Moving Averages: Price position, EMA alignment, and crossovers Bollinger Bands: Price relative to bands and momentum shifts RSI: Multi-zone analysis with momentum and crossover detection MACD: Signal line crossovers and zero-line positioning 🎉 Why Choose Signal Hunter Pro? ✅ Multi-Indicator Confirmation reduces false signals ✅ Trend Strength Filtering improves win rate ✅ Volume Confirmation ensures market participation ✅ Customizable Parameters adapt to any trading style ✅ Clean Visual Design doesn't clutter your charts ✅ Professional Alert System for automated trading ✅ No Repainting - reliable historical signals ✅ Works on All Timeframes from scalping to investing
אינדיקטור Pine Script®
מאת ‎gkdxlceo‎
Daily HOD / LOD Anchored VWAP (24/7 Markets)mart Daily HOD/LOD Anchored VWAP (Auto Detect + Alerts) This indicator automatically anchors VWAP at the High of Day (HOD) and Low of Day (LOD) for each session/day. No more manual anchoring — the script tracks intraday highs and lows in real-time and resets cleanly at the start of each trading day or session. ✨ Features ✅ Auto-anchored AVWAP at daily High and Low ✅ Works for stock markets (with fixed sessions) and crypto markets (24/7) ✅ Clean reset every session/day ✅ Separate AVWAP lines for HOD and LOD ✅ Customizable colors & line widths ✅ Alerts included 🚨 (get notified instantly when a new High/Low AVWAP starts) 📈 Use Cases Spot true intraday support/resistance levels Track where institutions may be defending positions Combine with price action, orderflow, or volume profile strategies Perfect for intraday trading, scalping, and swing entries ⚡ Alerts New HOD AVWAP → Fires when price makes a fresh high of day, starting a new anchored VWAP. New LOD AVWAP → Fires when price makes a fresh low of day, starting a new anchored VWAP. 🛠️ Settings Show/hide HOD or LOD VWAP Customize line colors and thickness Works seamlessly across stocks, futures, forex, and crypto 💡 Pro Tip: AVWAP from the high and low of the day often acts as a magnet for price. Watch how price reacts when revisiting these levels — confluence with other indicators = high-probability setups. ⚠️ Disclaimer: This script is for educational purposes only. It is not financial advice. Always manage your own risk.
אינדיקטור Pine Script®
מאת ‎hardik23joshi‎
Adaptive Valuation [BackQuant]Adaptive Valuation What this is A composite, zero-centered oscillator that standardizes several classic indicators and blends them into one “valuation” line. It computes RSI, CCI, Demarker, and the Price Zone Oscillator, converts each to a rolling z-score, then forms a weighted average. Optional smoothing, dynamic overbought and oversold bands, and an on-chart table make the inputs and the final score easy to inspect. How it works Components • RSI with its own lookback. • CCI with its own lookback. • DM (Demarker) with its own lookback. • PZO (Price Zone Oscillator) with its own lookback. Standardization via z-score Each component is transformed using a rolling z-score over lookback bars: z = (value − mean) ÷ stdev , where the mean is an EMA and the stdev is rolling. This puts all inputs on a comparable scale measured in standard deviations. Weighted blend The z-scores are combined with user weights w_rsi, w_cci, w_dm, w_pzo to produce a single valuation series. If desired, it is then smoothed with a selected moving average (SMA, EMA, WMA, HMA, RMA, DEMA, TEMA, LINREG, ALMA, T3). ALMA’s sigma input shapes its curve. Dynamic thresholds (optional) Two ways to set overbought and oversold: • Static : fixed levels at ob_thres and os_thres . • Dynamic : ±k·σ bands, where σ is the rolling standard deviation of the valuation over dynLen . Bands can be centered at zero or around the valuation’s rolling mean ( centerZero ). Visualization and UI • Zero line at 0 with gradient fill that darkens as the valuation moves away from 0. • Optional plotting of band lines and background highlights when OB or OS is active. • Optional candle and background coloring driven by the valuation. • Summary table showing each component’s current z-score, the final score, and a compact status. How it can be used • Bias filter : treat crosses above 0 as bullish bias and below 0 as bearish bias. • Mean-reversion context : look for exhaustion when the valuation enters the OB or OS region, then watch for exits from those regions or a return toward 0. • Signal confirmation : use the final score to confirm setups from structure or price action. • Adaptive banding : with dynamic thresholds, OB and OS adjust to prevailing variability rather than relying on fixed lines. • Component tuning : change weights to emphasize trend (raise DM, reduce RSI/CCI) or range behavior (raise RSI/CCI, reduce DM). PZO can help in swing environments. Why z-score blending helps Indicators often live on different scales. Z-scoring places them on a common, unitless axis, so a one-sigma move in RSI has comparable influence to a one-sigma move in CCI. This reduces scale bias and allows transparent weighting. It also facilitates regime-aware thresholds because the dynamic bands scale with recent dispersion. Inputs to know • Component lookbacks : rsilb, ccilb, dmlb, pzolb control each raw signal. • Standardization window : lookback sets the z-score memory. Longer smooths, shorter reacts. • Weights : w_rsi, w_cci, w_dm, w_pzo determine each component’s influence. • Smoothing : maType, smoothP, sig govern optional post-blend smoothing. • Dynamic bands : dyn_thres, dynLen, thres_k, centerZero configure the adaptive OB/OS logic. • UI : toggle the plot, table, candle coloring, and threshold lines. Reading the plot • Above 0 : composite pressure is positive. • Below 0 : composite pressure is negative. • OB region : valuation above the chosen OB line. Risk of mean reversion rises and momentum continuation needs evidence. • OS region : mirror logic on the downside. • Band exits : leaving OB or OS can serve as a normalization cue. Strengths • Normalizes heterogeneous signals into one interpretable series. • Adjustable component weights to match instrument behavior. • Dynamic thresholds adapt to changing volatility and drift. • Transparent diagnostics from the on-chart table. • Flexible smoothing choices, including ALMA and T3. Limitations and cautions • Z-scores assume a reasonably stationary window. Sharp regime shifts can make recent bands unrepresentative. • Highly correlated components can overweight the same effect. Consider adjusting weights to avoid double counting. • More smoothing adds lag. Less smoothing adds noise. • Dynamic bands recalibrate with dynLen ; if set too short, bands may swing excessively. If too long, bands can be slow to adapt. Practical tuning tips • Trending symbols: increase w_dm , use a modest smoother like EMA or T3, and use centerZero dynamic bands. • Choppy symbols: increase w_rsi and w_cci , consider ALMA with a higher sigma , and widen bands with a larger thres_k . • Multiday swing charts: lengthen lookback and dynLen to stabilize the scale. • Lower timeframes: shorten component lookbacks slightly and reduce smoothing to keep signals timely. Alerts • Enter and exit of Overbought and Oversold, based on the active band choice. • Bullish and bearish zero crosses. Use alerts as prompts to review context rather than as stand-alone trade commands. Final Remarks We created this to show people a different way of making indicators & trading. You can process normal indicators in multiple ways to enhance or change the signal, especially with this you can utilise machine learning to optimise the weights, then trade accordingly. All of the different components were selected to give some sort of signal, its made out of simple components yet is effective. As long as the user calibrates it to their Trading/ investing style you can find good results. Do not use anything standalone, ensure you are backtesting and creating a proper system.
אינדיקטור Pine Script®
מאת ‎BackQuant‎
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands Part 1 — Mathematics and Algorithmic Design Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals. Data pipeline. 1. Choose a source (default `close`; MTF optional via `request.security`). 2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$. 3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists). 4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer. 5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline). 6. Smooth levels with a short EMA for readability. Rolling quantiles. Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate: * Buy band $\approx Q(q)$ * Sell band $\approx Q(1-q)$ * Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$ Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead. Residual transform (optional). In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price. Volatility-adaptive percentile. Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is: Smoothing. Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals. Latched state machines. Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset: * BUY latch: (1) HLC3 crosses above the median → (2) the median is rising → (3) HLC3 prints above the upper (orange) band → BUY latched. * SELL latch: (1) HLC3 crosses below the median → (2) the median is falling → (3) HLC3 prints below the lower (teal) band → SELL latched. Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn. MTF behavior and repainting. MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability. Complexity and parameters. Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$. Part 2 — Practical Use for Discretionary/Active Traders What the bands mean in practice. The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts. Two core playbooks. 1. Mean-reversion around a stable median. * Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging. * Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up. * Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry. * Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop. * Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down. 2. Continuation with latched confirmations. * Context: A developing trend where you want fewer but cleaner signals. * Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation. * Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum. * Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple. Parameter guidance by timeframe. * Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise. * Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6. * Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4. Baseline choice. Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands. How to time entries. Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size. Risk management. Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution. Combos and filters. * Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median). * Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation). * Volume or session filters (e.g., avoid illiquid hours) can materially improve execution. Alerts for discretion. Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise. Common pitfalls. Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops. A concise checklist. 1. Is the median flat (range) or sloped (trend)? 2. Is band width expanding or contracting vs ATR? 3. Are we near the tail level aligned with the intended trade? 4. For continuation: did the 3 steps for a latched signal complete? 5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)? 6. Are you trading during liquid hours for the instrument? Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries. Disclaimer No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly. The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence 🚀 Best regards Chervolino
אינדיקטור Pine Script®
מאת ‎chervolino‎
Dynamic Momentum Oscillator with Adaptive ThresholdsDynamic Momentum Oscillator with Adaptive Thresholds (DMO-AT) This advanced indicator is designed to provide traders with a robust tool for identifying momentum shifts, overbought/oversold conditions, and potential reversals in any market. Unlike traditional oscillators with fixed thresholds, DMO-AT uses adaptive levels that adjust based on current volatility (via ATR) and incorporates volume weighting for more accurate signals in high-volume environments. #### Key Features: - **Momentum Calculation**: A normalized momentum value derived from price changes, optionally weighted by volume for enhanced sensitivity. - **Adaptive Thresholds**: Overbought and oversold levels dynamically adjust using ATR, making the indicator adaptable to volatile or ranging markets. - **Signal Line**: An EMA of the momentum for crossover signals, helping confirm trend directions. - **Divergence Detection**: Built-in alerts for bullish and bearish divergences between price and momentum. - **Visual Enhancements**: Background coloring for quick zone identification, dashed static lines for reference, and a customizable stats table displaying real-time values. - **Alerts**: Multiple alert conditions for crossovers, zone entries, and divergences to keep you notified without constant chart watching. #### How to Use: 1. Add the indicator to your chart via TradingView's indicator search. 2. Customize inputs: Adjust the momentum length, source, ATR length, and threshold multiplier to fit your trading style (e.g., shorter lengths for scalping, longer for swing trading). 3. Interpret Signals: - **Crossover**: Momentum crossing above the signal line suggests bullish momentum; below indicates bearish. - **Zones**: Entering the overbought (red) zone may signal a potential sell; oversold (green) for buys. - **Divergences**: Use alerts to spot hidden opportunities where price and momentum disagree. 4. Combine with other tools like moving averages or support/resistance for confluence. 5. Enable the stats table for at-a-glance insights on the chart. This indicator is versatile across timeframes and assets, from stocks to crypto. It's optimized for clarity and performance, with no repainting.
אינדיקטור Pine Script®
מאת ‎jwammo12‎
EMA 1/8 Cross - Fixed Pip TP/SLEMA 1/8 Cross – Fixed Pip TP/SL This strategy is based on the crossover between EMA 8 and EMA 14 as trading signals: Long entry → when EMA 1 crosses above EMA 8 Short entry → when EMA 1 crosses below EMA 8 Features: Fixed pip Take Profit (TP) and Stop Loss (SL), fully adjustable in the settings. Customizable EMA Fast/Slow lengths for optimization. Pip size input to match different broker definitions (e.g., XAUUSD often uses 0.10 as one pip). Suitable for testing scalping or swing trading across multiple timeframes. ⚠️ Disclaimer: This script is intended for backtesting and educational purposes only. Please optimize parameters and apply proper risk management before using it on live accounts.
אסטרטגיית Pine Script®
מאת ‎milikgroupy_tv‎
1
MACD StrategyOverview The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks). #### How It Works This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction: - **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum. - **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum. Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility. #### Key Features - **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis. - **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio. - **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking. - **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time. #### Input Parameters - **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing. - **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity. - **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation. - **MACD Signal Length**: Default 9 – The smoothing period for the signal line. - **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300). - **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3). - **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR). - **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio. - **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart. - **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines. - **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility. #### How to Use 1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe). 2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops. 3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts. 4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks. 5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency. #### Tips for Success - **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals. - **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability. - **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed. - **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures. #### Limitations - This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed. - Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading. #### Conclusion The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
אסטרטגיית Pine Script®
מאת ‎thetraderlodge‎
Frozen 4H VWAP – Precision AnchoredFrozen 4H VWAP – Precision Anchored Like Ice The Frozen 4H VWAP – Precision Anchored delivers a clean, stable, and reliable view of the 4-hour Volume Weighted Average Price, designed for traders who want higher timeframe insights without intrabar noise or repainting. 🔹 Key Features: Non-Repainting: VWAP value is “frozen” at the close of each 4H candle — no mid-bar updates or flickering. 4H Timeframe Anchoring: Seamlessly pulls 4-hour VWAP values into any timeframe you’re trading on. Clear Trend Reference: Updates only when a new 4H candle begins, acting as a trustworthy anchor for support/resistance. Custom Source Option: Choose from different price sources (default: HLC3) to fit your strategy. Whether you're scalping, day trading, or swing trading, this indicator gives you a powerful edge by grounding your decisions in higher timeframe VWAP data — clear, calm, and frozen in time.
אינדיקטור Pine Script®
מאת ‎Equanimity_raven‎
MK_OSFT-Multi-Timeframe MA Dashboard & Smart Alerts-v2📊 Multi-Timeframe MA Dashboard & Smart Alerts v2.0 Transform your trading with the ultimate moving average monitoring system that tracks up to 8 different MA configurations across multiple timeframes simultaneously. 🎯 What This Indicator Does This advanced dashboard eliminates the need to constantly switch between timeframes by displaying all your critical moving averages on a single chart. Whether you're scalping on 5-minute charts or swing trading on daily timeframes, you'll instantly see the big picture. ⭐ Key Features 📈 Multi-Timeframe Moving Averages Monitor up to **8 different MA configurations** simultaneously Support for **SMA and EMA** across 6 timeframes (5m, 15m, 1h, 4h, Daily, Weekly) Each MA fully customizable: length, color, alert settings, and visibility Smart visual representation with labeled horizontal lines and connecting plots 🚨 Intelligent Alert System Cross-over/Cross-under alerts for price vs MA interactions Three alert modes : No alerts, Once only, or Once per bar close Smart batching system prevents alert spam during volatile periods Queue management with 3-second delays between alerts for optimal performance Easy alert reset functionality for "once only" alerts 📊 Real-Time Information Dashboard Live countdown timers showing time remaining until each timeframe closes Color-coded progress bars with gradient visualization (green → yellow → orange → red) Instant cross-over detection with up/down arrow indicators Price vs MA relationship clearly displayed (above/below coloring) 🎨 Professional Visualization Anti-overlap technology prevents labels from clustering Customizable label positioning and sizing options Drawing order control (larger timeframes first/last) Connecting lines link current price to MA values Status line integration for quick value reference 💡 Perfect For Multi-timeframe traders [/b who need complete market context Trend followers monitoring key MA levels across timeframes Breakout traders waiting for price to cross critical moving averages Risk managers using MAs as dynamic support/resistance levels Anyone wanting organized, clutter-free MA monitoring ⚙️ Highly Configurable Moving Average Settings Individual enable/disable for each of 8 MA slots Flexible timeframe selection : 5m, 15m, 1h, 4h, Daily, Weekly MA type choice : SMA or EMA for each configuration Custom lengths from 1 to any desired period Color customization for each MA line and label Alert Management Per-MA alert configuration : Choose which MAs trigger alerts Source selection : Current bar vs last confirmed bar calculations Frequency control : Prevent over-alerting with smart queuing Reset functionality : Easily reactivate "fired" once-only alerts Display Options Table positioning : Top-right, bottom-left, or bottom-right Label styling : Size, offset, and gap control Line customization : Width and extension options Timezone adjustment : Align timestamps with your local time 🔧 Technical Excellence Optimized performance with efficient array management and single-pass calculations Real-time vs historical mode handling for accurate backtesting Memory-efficient label and line management prevents accumulation Robust error handling and edge case management Clean, well-documented code following Pine Script best practices 📋 How to Use Add to chart and configure your desired MA combinations Set alert preferences for each MA (none/once/per bar) Create TradingView alert using "Any alert() function calls" Monitor the dashboard for cross-over signals and timeframe progress Use the info table to track all MA values and alert statuses at a glance 🎓 Educational Value This indicator serves as an excellent educational tool for understanding: Multi-timeframe analysis principles Moving average confluence and divergence Alert system design and management Professional indicator development techniques --- Transform your trading workflow with this professional-grade multi-timeframe MA monitoring system. No more chart hopping - get the complete moving average picture in one powerful dashboard! © MK_OSF_TRADING | Pine Script v6 | Mozilla Public License 2.0
אינדיקטור Pine Script®
מאת ‎MK_OSF_TRADING‎
2
VWAP Executor — v6 (VWAP fix)tarek helishPractical scalping plan with high-rate (sometimes reaching 70–85% in a quiet market) Concept: “VWAP bounce with a clear trend.” Tools: 1–3-minute chart for entry, 5-minute trend filter, VWAP, EMA(50) on 5M, ATR(14) on 1M, volume. When to trade: London session or early New York session; avoid 10–15 minutes before/after high-impact news. Entry rules (buy for example): Trend: Price is above the EMA(50) on 5M and has an upward trend. Entry zone: First bounce to VWAP (or a ±1 standard deviation channel around it). Signal: Bullish rejection/engulfing candle on 1M with increasing volume, and RSI(2) has exited oversold territory (optional). Order: Entry after the confirmation candle closes or a limit close to VWAP. Trade Management: Stop: Below the bounce low or 0.6xATR(1M) (strongest). Target: 0.4–0.7xATR(1M) or the previous micro-high (small return to increase success rate). Trigger: Move the stop to breakeven after +0.25R; close manually if the 1M candle closes strongly against you. Filter: Do not trade if the spread widens, or the price "saws" around VWAP without a trend. Sell against the rules in a downtrend. Why this plan raises the heat-rate? You buy a "small discount" within an existing trend and near the institutional average price (VWAP), with a small target price. مواقعي شركة الماسة للخدمات المنزلية شركة تنظيف بالرياض نقل عفش بالرياض
אסטרטגיית Pine Script®
מאת ‎worldforhost‎
Rolling Correlation BTC vs Hedge AssetsRolling Correlation BTC vs Hedge Assets Overview This indicator calculates and plots the rolling correlation between Bitcoin (BTC) returns and several key hedge assets: • XAUUSD (Gold) • EURUSD (proxy for DXY, U.S. Dollar Index) • VIX (Volatility Index) • TLT (20y U.S. Treasury Bonds ETF) By monitoring these dynamic correlations, traders can identify whether BTC is moving in sync with risk assets or decoupling as a hedge, and adjust their trading strategy accordingly. How it works 1. Computes returns for BTC and each asset using percentage change. 2. Uses the rolling correlation function (ta.correlation) over a configurable window length (default = 12 bars). 3. Plots each correlation as a separate colored line (Gold = Yellow, EURUSD = Blue, VIX = Red, TLT = Green). 4. Adds threshold levels at +0.3 and -0.3 to help classify correlation regimes. How to use it • High positive correlation (> +0.3): BTC is moving together with the asset (risk-on behavior). • Near zero (-0.3 to +0.3): BTC is showing little to no correlation — neutral/independent moves. • Negative correlation (< -0.3): BTC is moving in the opposite direction — potential hedge opportunity. Practical strategies: • Watch BTC vs VIX: a spike in volatility (VIX ↑) usually coincides with BTC selling pressure. • Track BTC vs EURUSD: stronger USD often puts downside pressure on BTC. • Observe BTC vs Gold: during “flight to safety” events, gold rises while BTC weakens. • Monitor BTC vs TLT: rising yields (falling TLT) often align with BTC weakness. Inputs • Window Length (bars): Number of bars used to calculate rolling correlations (default = 12). • Comparison Timeframe: Default = 5m. Can be changed to align with your intraday or swing trading style. Notes • Works best on intraday charts (1m, 5m, 15m) for scalping and short-term setups. • Use correlations as context, not standalone signals — combine with volume, VWAP, and price action. • Correlations are dynamic; they can switch regimes quickly during macro events (CPI, NFP, FOMC). This tool is designed for traders who want to manage risk exposure by monitoring whether BTC is behaving as a risk-on asset or hedge, and to exploit opportunities during decoupling phases.
אינדיקטור Pine Script®
מאת ‎leobuezo‎
VWAP with period (rajib127)VWAP with Adjustable Period (rajib127) This advanced VWAP (Volume Weighted Average Price) indicator offers enhanced functionality with customizable anchor periods and multiple standard deviation bands. Key Features: Adjustable Anchor Period: Unlike standard VWAP that resets daily, this indicator allows you to set custom anchor timeframes (Daily, Weekly, Monthly) to match your trading strategy Multiple Deviation Bands: Display up to 3 sets of bands with customizable multipliers for better support/resistance identification Dual Calculation Modes: Choose between Standard Deviation or Percentage-based band calculations Flexible Price Sources: Select from 7 different price calculation methods (Typical, Close, High, Low, Median, Weighted, Open) Timeframe Visibility Control: Option to hide VWAP on higher timeframes (Daily and above) for cleaner charts Visual Enhancements: Color-coded bands with fill areas and real-time value display table Trading Applications: Identify dynamic support and resistance levels Spot mean reversion opportunities when price deviates from bands Use different anchor periods for swing trading vs day trading strategies Combine with other indicators for confluence-based entries Unique Advantage: The ability to adjust the VWAP reset period makes this indicator versatile for various trading styles - from intraday scalping with hourly resets to swing trading with weekly anchors. Perfect for traders who want more control over their VWAP analysis beyond the standard daily reset limitation.
אינדיקטור Pine Script®
מאת ‎rajib127‎
FUMO 200 MagnetWhat it does FUMO Magnet measures how far price has stretched away from its long-term “magnet” — a blended EMA/SMA moving average (200 by default). It plots a logarithmic deviation (optionally normalized) as an oscillator around zero. Above 0** → price is above the magnet (stretched up) Below 0** → price is below the magnet (stretched down) Guide levels** highlight potential overbought/oversold zones --- Why log deviation? Log returns make extremes comparable across cycles and compress exponential trends — especially useful for BTC and other crypto assets. Normalization modes further adjust the scale, keeping the oscillator readable on any chart. --- Inputs **Base** * Source (default: Close) * Base Length (default: 200 EMA/SMA) * EMA vs SMA weight (%) — 0% = pure SMA, 100% = pure EMA, 50% = blended * EMA smoothing of deviation — acts as a noise filter **Normalization** * None (Log Deviation) — raw log stretch in % terms * Z-score — deviation in standard deviations (σ) * Robust Z (MAD) — deviation vs median absolute deviation, resistant to outliers * Tanh squash — smooth nonlinear squash of extremes for compact scale * Normalization window (for Z / MAD) * Tanh scale (lower = stronger squash) * Clamp after normalization — hard cap at ±X **Levels** * Guide levels (Upper / Lower) — visual thresholds (default ±12) * Zero line toggle --- ### How to read it * **Trend bias**: sustained time above 0 = uptrend, below 0 = downtrend * **Stretch / mean reversion**: the farther from 0, the higher the reversion risk * **Cross-checks**: combine with structure (HH/HL, LH/LL), volume, or momentum (RSI, MACD) --- ### Recommended settings by timeframe **Long-term (1D / 1W)** * Normalization: None (Log Deviation) * Base Length: 200 * EMA vs SMA weight: 50% (adjust 35–65% for faster/slower magnet) * Deviation smoothing: 20 (10–30 range) * Guide levels: ±12 to ±20 * Use case: cycle extremes, portfolio rebalancing, trim/add logic **Swing (4H – 1D)** * Normalization: Z-score * Window: 200 (100–250) * Smoothing: 14–20 * Guide levels: ±2σ to ±3σ * Use case: stretched conditions across regimes; ±3σ is rare, often mean-reverts **Intraday / Active swing (1H – 4H)** * Normalization: Robust Z (MAD) * Window: 200 (150 for faster response) * Smoothing: 10–16 * Guide levels: ±3 to ±4 (robust units) * Use case: handles spikes better than σ, fewer false overbought/oversold signals **Scalping / Universal readability (15m – 1H)** * Normalization: Tanh squash * Tanh scale: 6–10 (start with 8) * Smoothing: 8–12 * Guide levels: ±8 to ±12 * Use case: compact panel across assets and timeframes; not % or σ, but visually consistent --- ### Optional * Clamp: enable ±20 (or ±25) for strict bounded range (useful for public charts) --- ### Quick setups **BTC Daily (“cycle view”)** * Normalization: None * Blend: 50% * Smooth: 20 * Levels: ±12–15 **BTC 4H (“swing”)** * Normalization: Z-score * Window: 200 * Smooth: 16 * Levels: ±2.5σ to ±3σ **Alts 1H (“volatile”)** * Normalization: Robust Z (MAD) * Window: 200 * Smooth: 12 * Levels: ±3.5 to ±4.5 **Mixed assets 15m (“compact panel”)** * Normalization: Tanh squash * Scale: 8 * Smooth: 10 * Levels: ±8–12 * Clamp: ±20
אינדיקטור Pine Script®
מאת ‎deerHunter2049‎
T-Virus Sentiment [hapharmonic]🧬 T-Virus Sentiment: Visualize the Market's DNA Remember the iconic T-Virus vial from the first Resident Evil? That powerful, swirling helix of potential has always fascinated me. It sparked an idea: what if we could visualize the market's underlying health in a similar way? What if we could capture the "genetic code" of market sentiment and contain it within a dynamic, 3D indicator? This project is the result of that idea, brought to life with Pine Script. The indicator's main goal is to measure the strength and direction of market sentiment by analyzing the "genetic code" of price action through a variety of trusted indicators. The result is displayed as a liquid level within a DNA helix, a bubble density representing buying pressure, and a T-Virus mascot that reflects the overall mood. 🧐 Core Concept: How It Works The primary output of the indicator is the "Active %" gauge you see on the right side of the vial. This percentage represents the overall sentiment score, calculated as an average from 7 different technical analysis tools. Each tool is analyzed on every bar and assigned a score from 1 (strong bearish pressure) to 5 (strong bullish potential). In this indicator, we re-imagine market dynamics through the lens of a viral outbreak. A strong bear market is like a virus taking hold, pulling all technical signals down into a state of weakness. Conversely, a powerful bull market is like an antiviral serum ; positive signals rise and spread toward the top of the vial, indicating that the system is being injected with strength. This is not just another line on a chart. It's a comprehensive sentiment dashboard designed to give an immediate, at-a-glance understanding of the confluence between 7 classic technical indicators. The incredible 3D model of the vial itself was inspired by a design concept found here . ⚛️ The 4 Core Elements of T-Virus Sentiment These four elements work in harmony to give a complete, multi-faceted picture of market sentiment. Each component tells a different part of the story. The Virus Mascot: An instant emotional cue. This character provides the quickest possible read on the overall market mood, combining sentiment with volume pressure. The Antiviral Serum Level: The main quantitative output. This is the liquid level in the DNA helix and the percentage gauge on the right, representing the average sentiment score from all 7 indicators. Buy Pressure & Bubble Density: This visualizes volume flow. The density of bubbles represents the intensity of accumulation (buying) versus distribution (selling). It's the "power" behind the move. The Signal Distribution: This shows the confluence (or dispersion) of sentiment. Are all signals bullish and clustered at the top, or are they scattered, indicating a conflicted market? The position of the indicator labels is crucial, as each is assigned to one of five distinct zones: Base Bottom: The market is at its weakest. Signals here suggest strong bearish control and distribution. Lower Zone: The market is still bearish, but signals may be showing early signs of accumulation or bottoming. Neutral Core (Center): A state of balance or sideways consolidation. The market is waiting for a new direction. Upper Zone: Bullish momentum is becoming clear. Signals are strengthening and showing bullish control. Top Cap: The market is "heating up" with strong bullish sentiment, potentially nearing overbought conditions. 🐂🐻 The Virus Mascot: The At-a-Glance Indicator This character acts as a shortcut to confirm market health. It combines the sentiment score with volume, preventing false confidence in a low-volume rally. Its state is determined by a dual-check: the overall "Antiviral Serum Level" and the "Buy Pressure" must both be above 50%. Green & Smiling: The 'all clear' signal. This means that not only is the overall technical sentiment bullish, but it's also being supported by real buying pressure. This is a sign of a healthy bull market. Red & Angry: A warning sign. This appears if either the sentiment is weak, or a bullish sentiment is not being confirmed by buying volume. The latter could indicate a potential "bull trap" or an exhaustive move. This mascot can be disabled from the settings page under "Virus Mascot Styling" if a cleaner look is preferred. 🫧 Bubble Density: Gauging Buy vs. Sell Pressure The bubbles visualize the battle between buyers and sellers. There are two modes to control how this is calculated: Mode 1: Visible Range (The 'Big Picture' View) This default mode is best for getting a broad, contextual understanding of the current session. It dynamically analyzes the volume of every single candlestick currently visible on the screen to calculate the buy/sell pressure ratio. It answers the question: "Over the entire period I'm looking at, who is in control?" As you zoom in or out, the calculation adapts. Mode 2: Custom Lookback (The 'Precision' View) This mode is for traders who need to analyze short-term pressure. You can define a fixed number of recent bars to analyze, which is perfect for scalping or understanding the volume dynamics leading into a key level. It answers the question: "What is happening right now ?" In the example above, a lookback of 2 focuses only on the most recent action, clearly showing intense, immediate selling pressure (few bubbles) and a corresponding drop in the sentiment score to 29%. ℹ️ Interactive Tooltips: Dive Deeper We believe in transparency, not 'black box' indicators. This feature transforms the indicator from a visual aid into an active learning tool. Simply hover the mouse over any indicator label (like EMA, OBV, etc.) to get a detailed tooltip. It will explain the specific data points and thresholds that signal met to be placed in its current zone. This helps build trust in the signals and allows users to fine-tune the indicator settings to better match their own trading style. 🎯 The Scoring Logic Breakdown The "Antiviral Serum Level" gauge is the average score from 7 technical analysis tools. Each is graded on a 5-point scale (1=Strong Bearish to 5=Strong Bullish). Here’s a detailed, transparent look at how each "gene" is evaluated: Relative Strength Index (RSI) Measures momentum and overbought/oversold conditions. Group 1 (Strong Bearish): RSI > 80 (Extreme Overbought) Group 2 (Bearish): 70 < RSI ≤ 80 (Overbought) Group 3 (Neutral): 30 ≤ RSI ≤ 70 Group 4 (Bullish): 20 ≤ RSI < 30 (Oversold) Group 5 (Strong Bullish): RSI < 20 (Extreme Oversold) Exponential Moving Averages (EMA) Evaluates the trend's strength and structure based on the alignment of multiple EMAs (9, 21, 50, 100, 200, 250). Group 1 (Strong Bearish): A perfect bearish sequence (9 < 21 < 50 < ...) Group 2 (Bearish Transition): Early signs of a potential reversal (e.g., 9 > 21 but still below 50) Group 3 (Neutral / Mixed): MAs are intertwined or showing a partial bullish sequence. Group 4 (Bullish): A strong bullish sequence is forming (e.g., 9 > 21 > 50 > 100) Group 5 (Strong Bullish): A perfect bullish sequence (9 > 21 > 50 > 100 > 200 > 250) Moving Average Convergence Divergence (MACD) Analyzes the relationship between two moving averages to gauge momentum. Group 1 (Strong Bearish): MACD & Histogram are negative and momentum is falling. Group 2 (Weakening Bearish): MACD is negative but the histogram is rising or positive. Group 3 (Neutral / Crossover): A crossover event is occurring near the zero line. Group 4 (Bullish): MACD & Histogram are positive. Group 5 (Strong Bullish): MACD & Histogram are positive, rising strongly, and accelerating. Average Directional Index (ADX) Measures trend strength, not direction. The score is based on both ADX value and the dominance of DI+ vs DI-. Group 1 (Bearish / No Trend): ADX < 20 and DI- is dominant. Group 2 (Developing Bearish Trend): 20 ≤ ADX < 25 and DI- is dominant. Group 3 (Neutral / Indecision): Trend is weak or DI+ and DI- are nearly equal. Group 4 (Developing Bullish Trend): 25 ≤ ADX ≤ 40 and DI+ is dominant. Group 5 (Strong Bullish Trend): ADX > 40 and DI+ is dominant. Ichimoku Cloud (IKH) A comprehensive indicator that defines support/resistance, momentum, and trend direction. Group 1 (Strong Bearish): Price is below the Kumo, Tenkan < Kijun, and Chikou is below price. Group 2 (Bearish): Price is inside or below the Kumo, with mixed secondary signals. Group 3 (Neutral / Ranging): Price is inside the Kumo, often with a Tenkan/Kijun cross. Group 4 (Bullish): Price is above the Kumo with strong primary signals. Group 5 (Strong Bullish): All signals are aligned bullishly: price above Kumo, bullish Tenkan/Kijun cross, bullish future Kumo, and Chikou above price. Bollinger Bands (BB) Measures volatility and relative price levels. Group 1 (Strong Bearish): Price is below the lower band. Group 2 (Bearish Territory): Price is between the lower band and the basis line. Group 3 (Neutral): Price is hovering around the basis line. Group 4 (Bullish Territory): Price is between the basis line and the upper band. Group 5 (Strong Bullish): Price is above the upper band. On-Balance Volume (OBV) Uses volume flow to predict price changes. The score is based on OBV's trend and its position relative to its moving average. Group 1 (Strong Bearish): OBV is below its MA and falling. Group 2 (Weakening Bearish): OBV is below its MA but showing signs of rising. Group 3 (Neutral): OBV is very close to its MA. Group 4 (Bullish): OBV is above its MA and rising. Group 5 (Strong Bullish): OBV is above its MA, rising strongly, and showing signs of a volume spike. 🧭 How to Use the T-Virus Sentiment Indicator IMPORTANT: This indicator is a sentiment dashboard , not a direct buy/sell signal generator. Its strength lies in showing confluence and providing a quick, holistic view of the market's technical health. Confirmation Tool: Use the "Active %" gauge to confirm a trade setup from your primary strategy. For example, if you see a bullish chart pattern, a high and rising sentiment score can add confidence to your trade. Momentum & Trend Gauge: A consistently high score (e.g., > 75%) suggests strong, established bullish momentum. A consistently low score (< 25%) suggests strong bearish control. A score hovering around 50% often indicates a ranging or indecisive market. Divergence & Warning System: Pay attention to divergences. If the price is making new highs but the sentiment score is failing to follow or is actively decreasing, it could be an early warning sign that the underlying momentum is weakening. ⚙️ Settings & Customization The indicator is highly customizable to fit any trading style. Position & Anchor: Control where the vial appears on the chart. Styling (Vial, Helix, etc.): Nearly every visual element can be color-customized. Signals: This is where the real power is. All underlying indicator parameters (RSI length, MACD settings, etc.) can be fine-tuned to match a personal strategy. The text labels can also be disabled if the chart feels cluttered. Enjoy visualizing the market's DNA with the T-Virus Sentiment indicator
אינדיקטור Pine Script®
מאת ‎hapharmonic‎
15
FUMO MA Cross Matrix 9/21/50/100/200 FUMO MA Cross Matrix is a flexible and advanced indicator designed for traders who rely on moving average crossovers as part of their strategy. 🔹 Key Features: Supports 5 types of Moving Averages: EMA, SMA, SMMA (RMA), WMA, HMA. Includes 5 standard MAs: 9, 21, 50, 100, 200 (toggle on/off individually). Choose which MA crosses to monitor (9×21, 21×50, 50×100, 100×200, and 6 extended combinations). On-chart signals (labels) when crosses occur. Alerts system for every selected cross and also summary alerts (“Any Cross Up/Down”). Option to trigger signals only on confirmed bars (no repaint). Fully adjustable label visibility and signal style. 🔹 Use Cases: Detect trend shifts (short-term vs long-term). Build scalping, swing, or position trading strategies. Combine with price action or volume analysis for stronger setups. Quickly react to Golden Cross and Death Cross events. 🔹 How to Use: Select your preferred MA type (EMA, SMA, etc.). Enable the MAs (9, 21, 50, 100, 200) you want to plot. Choose which crossovers to track in the settings. Enable/disable on-chart labels for better visualization. Set up alerts: “CROSS UP/DOWN X>Y” for specific pairs. “ANY CROSS UP/DOWN” for aggregated signals. 📌 Example Alerts MA Cross UP 9>21 on BTCUSDT 15m @ 65432 Any selected MA cross DOWN on AAPL 1D @ 195.2
אינדיקטור Pine Script®
מאת ‎deerHunter2049‎
Market Sessions [odnac] This indicator highlights the three main global market sessions (USA, Europe, Asia) and their overlaps directly on the chart. It helps traders quickly identify active trading periods and potential high-liquidity overlaps. Features: Customizable start and end times for each session Optional daily dividers with weekday labels Session markers displayed as circles above the candles Overlap sessions displayed in distinct colors Adjustable opacity for better chart visibility Option to hide weekends Sessions included: USA Market Session (default 13:30–20:00 UTC) Europe Market Session (default 07:00–16:00 UTC) Asia Market Session (default 00:00–09:00 UTC) Overlaps: USA + Europe, USA + Asia, Europe + Asia This tool is designed for intraday timeframes (1m–60m) and can be useful for scalping, day trading, or session-based strategies.
אינדיקטור Pine Script®
מאת ‎odnac‎
KAMA Trend Flip - SightLing LabsBuckle up, traders—this open-source KAMA Trend Flip indicator is your ticket to sniping trend reversals with a Kaufman Adaptive Moving Average (KAMA) that’s sharper than a Wall Street shark’s tooth. No voodoo, no fluff—just raw, volatility-adaptive math that dances with the market’s rhythm. It zips through trending rockets and chills in choppy waters, slashing false signals like a samurai. Not laggy like the others - this thing is the real deal! Core Mechanics: • Efficiency Ratio (ER): Reads the market’s pulse (0-1). High ER = turbo-charged MA, low ER = smooth operator. • Adaptive Smoothing: Mixes fast (default power 2) and slow (default 30) constants to match market mood swings. • Trend Signals: KAMA climbs = blue uptrend (bulls run wild). KAMA dips = yellow downtrend (bears take over). Flat = gray snooze-fest. • Alerts: Instant pings on flips—“Trend Flip Up” for long plays, “Down” for shorts. Plug into bots for set-and-forget domination. Why It Crushes: • Smokes static MAs in volatile arenas (crypto, stocks, you name it). Backtests show 20-30% fewer fakeouts than SMA50. • Visual Pop: Overlays price with bold blue/yellow signals. Slap it on BTC 1D to see trends light up like Times Square. • Tweakable: Dial ER length (default 50) to your timeframe. Short for scalps, long for swing trades. Example Settings in Action: • 10s Chart (Hyper-Scalping): Set Source: Close, ER Length: 100, Fast Power: 1, Slow Power: 6. Catches micro-trends in crypto like a heat-seeking missile. Blue/yellow flips scream entry/exit on fast moves. • 2m Chart (Quick Trades): Set Source: Close, ER Length: 14, Fast Power: 1, Slow Power: 6. Perfect for rapid trend shifts in stocks or forex. Signals align with momentum bursts—check historical flips for proof. Deployment: • Drop it on any chart. Backtest settings to match your asset’s volatility—tweak until it sings. • Pair with RSI or volume spikes for killer confirmation. Pro move: Enter on flip + volume pop, exit on reverse. • Strategy-Ready: Slap long/short logic on alerts to build a lean, mean trading machine. Open source from SightLing Labs—grab it, hack it, profit from it. Share your tweaks in the comments and let’s outsmart the market together. Trade hard, win big!
אינדיקטור Pine Script®
מאת ‎SightLineLabs‎
FluidFlow OscillatorFluidFlow Oscillator: Study Material for Traders Overview The FluidFlow Oscillator is a custom technical indicator designed to measure price momentum and market flow dynamics by simulating fluid motion concepts such as velocity, viscosity, and turbulence. It helps traders identify potential buy and sell signals along with trend strength, momentum direction, and volatility conditions. This study explains the underlying calculation concepts, signal logic, visual cues, and how to interpret the professional dashboard table that summarizes key indicator readings. ________________________________________ How the FluidFlow Oscillator Works Core Mechanisms 1. Price Flow Velocity o Measures the rate of change of price over a specified flow length (default 40 bars). o Calculated as a percentage change of closing price: roc=close−closelen_flowcloselen_flow×100\text{roc} = \frac{\text{close} - \text{close}_{len\_flow}}{\text{close}_{len\_flow}} \times 100roc=closelen_flowclose−closelen_flow×100 o Smoothed by an EMA (Exponential Moving Average) to reduce noise, generating a "flow velocity" value. 2. Viscosity Factor o Analogous to fluid viscosity, it adjusts the flow velocity based on recent price volatility. o Volatility is computed as the standard deviation of close prices over the flow length. o The viscosity acts as a damping factor to slow down the flow velocity in highly volatile conditions. o This results in a "flow with viscosity" value, that smooths out the velocity considering market turbulence. 3. Turbulence Burst o Captures sudden changes or bursts in the flow by measuring changes between successive viscosity-adjusted flows. o The turbulence value is a smoothed absolute change in flow. o A burst boost factor is added to the oscillator to incorporate this rapid change component, amplifying signals during sudden shifts. 4. Oscillator Calculation o The raw oscillator value is the sum of flow with viscosity plus burst boost, scaled by 10. o Clamped between -100 and +100 to limit extremes. o Finally, smoothed again by EMA for cleaner visualization. ________________________________________ Signal Logic The oscillator works with complementary components to produce actionable signals: • Signal Line: An EMA-smoothed version of the oscillator for generating crossover-based signals. • Momentum: The rate of change of the oscillator itself, smoothed by EMA. • Trend: Uses fast (21-period EMA) and slow (50-period EMA) moving averages of price to identify market trend direction (uptrend, downtrend, or sideways). Signal Conditions • Bullish Signal (Buy): Oscillator crosses above the oversold threshold with positive momentum. • Bearish Signal (Sell): Oscillator crosses below the overbought threshold with negative momentum. Statuses The oscillator provides descriptive market states based on level and momentum: • Overbought • Oversold • Buy Signal • Sell Signal • Bullish / Bearish (momentum-driven) • Neutral (no clear trend) ________________________________________ Color System and Visualization The oscillator uses a sophisticated HSV color model adapting hues according to: • Oscillator value magnitude and sign (positive or negative) • Acceleration of oscillator changes • Smooth color gradients to facilitate intuitive understanding of trend strength and momentum shifts Background colors highlight overbought (red tint) and oversold (green tint) zones with transparency. ________________________________________ How to Understand the Professional Dashboard Table The FluidFlow Oscillator offers an integrated table at the bottom center of the chart. This dashboard summarizes critical indicator readings in 8 columns across 3 rows: Column Description SIGNAL Current signal status (e.g., Buy, Sell, Overbought) with color coding OSCILLATOR Current oscillator value (-100 to +100) with color reflecting intensity and direction MOMENTUM Momentum bias indicating strength/direction of oscillator changes (Strong Up, Up, Sideways, Down, Strong Down) TREND Current trend status based on EMAs (Strong Uptrend, Uptrend, Sideways, Downtrend, Strong Downtrend) VOLATILITY Volatility percentage relative to average, indicating market activity level FLOW Flow velocity value describing price momentum magnitude and direction TURBULENCE Turbulence level indicating sudden bursts or spikes in price movement PROGRESS Oscillator's position mapped as a percentage (0% to 100%) showing proximity to extreme levels Rows Explained • Row 1 (Header): Labels for each metric. • Row 2 (Values): Current numerical or descriptive values color-coded along a professional scheme: o Green or lime tones indicate positive or bullish conditions. o Red or orange tones indicate caution, sell signals, or bearish conditions. o Blue tones indicate neutral or stable conditions. • Row 3 (Status Indicators): Emoji-like icons and bars provide a quick visual gauge of each metric's intensity or signal strength: o For example, "🟢🟢🟢" suggests very strong bullish momentum, while "🔴🔴🔴" suggests strong bearish momentum. o Progress bar visually demonstrates oscillator movement toward oversold or overbought extremes. ________________________________________ Practical Interpretation Tips • A Buy signal with green colors and strong momentum usually precedes upward price moves. • An Overbought status with red background and red table colors warns of potential price corrections or reversals. • Watch the Turbulence to gauge market instability; spikes may precede price shocks or volatility bursts. • Confirm signals with the Trend and Momentum columns to avoid false entries. • Use the Progress bar to anticipate oscillations approaching key threshold levels for timing trades. ________________________________________ Alerts The oscillator supports alerts for: • Buy and sell signals based on oscillator crossovers. • Overbought and oversold levels reached. These help traders automate awareness of important market conditions. ________________________________________ Disclaimer The FluidFlow Oscillator and its signals are for educational and informational purposes only. They do not guarantee profits and should not be considered as financial advice. Always conduct your own research and use proper risk management when trading. Past performance is not indicative of future results. ________________________________________ This detailed explanation should help you understand the workings of the FluidFlow Oscillator, its components, signal logic, and how to analyze its professional dashboard for informed trading decisions.
אינדיקטור Pine Script®
מאת ‎aiTrendview-Charting-System‎
3