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Dynamic Fractal Flow [Alpha Extract]An advanced momentum oscillator that combines fractal market structure analysis with adaptive volatility weighting and multi-derivative calculus to identify high-probability trend reversals and continuation patterns. Utilizing sophisticated noise filtering through choppiness indexing and efficiency ratio analysis, this indicator delivers entries that adapt to changing market regimes while reducing false signals during consolidation via multi-layer confirmation centered on acceleration analysis, statistical band context, and dynamic omega weighting—without any divergence detection. 🔶 Fractal-Based Market Structure Detection Employs Williams Fractal methodology to identify pivotal market highs and lows, calculating normalized price position within the established fractal range to generate oscillator signals based on structural positioning. The system tracks fractal points dynamically and computes relative positioning with ATR fallback protection, ensuring continuous signal generation even during extended trending periods without fractal formation. 🔶 Dynamic Omega Weighting System Implements an adaptive weighting algorithm that adjusts signal emphasis based on real-time volatility conditions and volume strength, calculating dynamic omega coefficients ranging from 0.3 to 0.9. The system applies heavier weighting to recent price action during high-conviction moves while reducing sensitivity during low-volume environments, mitigating lag inherent in fixed-period calculations through volatility normalization and volume-strength integration. 🔶 Cascading Robustness Filtering Features up to five stages of progressive EMA smoothing with user-adjustable robustness steps, each layer systematically filtering microstructure noise while preserving essential trend information. Smoothing periods scale with the chosen fractal length and robustness steps using a fixed smoothing multiplier for consistent, predictable behavior. 🔶 Adaptive Noise Suppression Engine Integrates dual-component noise filtering combining Choppiness Index calculation with Kaufman’s Efficiency Ratio to detect ranging versus trending market conditions. The system applies dynamic damping that maintains full signal strength during trending environments while suppressing signals during choppy consolidation, aligning output with the prevailing regime. 🔶 Acceleration and Jerk Analysis Framework Calculates second-derivative acceleration and third-derivative jerk to identify explosive momentum shifts before they fully materialize on traditional indicators. Detects bullish acceleration when both acceleration and jerk turn positive in negative oscillator territory, and bearish acceleration when both turn negative in positive territory, providing early entry signals for high-velocity trend initiation phases. 🔶 Multi-Layer Signal Generation Architecture Combines three primary signal types with hierarchical validation: acceleration signals, band crossover entries, and threshold momentum signals. Each signal category includes momentum confirmation, trend-state validation, and statistical band context; signals are further conditioned by band squeeze detection to avoid low-probability entries during compression phases. Divergence is intentionally excluded for a purely structure- and momentum-driven approach. 🔶 Dynamic Statistical Band System Utilizes Bollinger-style standard deviation bands with configurable multiplier and length to create adaptive threshold zones that expand during volatile periods and contract during consolidation. Includes band squeeze detection to identify compression phases that typically precede expansion, with signal suppression during squeezes to prevent premature entries. 🔶 Gradient Color Visualization System Features color gradient mapping that dynamically adjusts line intensity based on signal strength, transitioning from neutral gray to progressively intense bullish or bearish colors as conviction increases. Includes gradient fills between the signal line and zero with transparency scaling based on oscillator intensity for immediate visual confirmation of trend strength and directional bias. All analysis provided by Alpha Extract is for educational and informational purposes only. The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations.
Pine Script® göstergesi
AlphaExtract tarafından
Multi Pivot Trend [BigBeluga]🔵 OVERVIEW The Multi Pivot Trend is an advanced market-structure-driven trend engine that evaluates trend strength by scanning multiple pivot breakouts simultaneously. Instead of relying on a single swing length, it tracks breakouts across ten increasing pivot lengths — then averages their behavior to produce a smooth, reliable trend reading. Mitigation logic (close, wick, or HL2 touches) controls how breakouts are confirmed, giving traders institutional-style flexibility similar to BOS/CHoCH validation rules. This indicator not only colors candles based on trend strength, but also extends trend strength and volatility-scaled projection candles to show where trend pressure may expand next. Pivot breakout lines and labels mark key changes, making the trend transitions extremely clear. 🔵 CONCEPTS Market trend strength is reflected by multiple pivot breakouts, not just one. The indicator analyzes ten pivot structures from smaller to larger swings. Each bullish or bearish pivot breakout contributes to trend score. Mitigation options (close / wick / HL2) imitate smart-money breakout confirmation logic. Trend score is averaged and translated into colors and extension bars. Neutral regime ≈ weak trend or transition zone (trend compression). 🔵 FEATURES Multi-Pivot Engine — tracks 10 pivot-based trend signals simultaneously. Mitigation Modes : • Close — breakout requires candle close beyond pivot • Wicks — breakout requires wick violation • HL2 — breakout confirmed when average (H+L)/2 crosses level Dynamic Color System : • Blue → confirmed bullish rotation • Red → confirmed bearish rotation • Orange → neutral / transition state Breakout Visualization — draws pivot breakout lines in real-time. Trend Labels — prints trend %. Trend Volatility-Scaled Extension Candles — ATR/trend strength based candle projections show momentum continuation strength. Gradient Pivot Encoding — higher pivot lengths = deeper structure considered. 🔵 HOW TO USE Use strong blue/red periods to follow dominant structural trend. Watch for color transition into orange — possible trend change or consolidation. Pivot breakout lines help validate structure shifts without clutter. Wick mitigation catches aggressive liquidity-sweep based breaks. Close/HL2 mitigation catches cleaner market structure rotations. Extension bars visualize trend pressure — large extensions = strong push. Best paired with volume or volatility confirmation tools. 🔵 CONCLUSION The Multi Pivot Trend is a structural trend recognition system that blends multiple pivot breakouts into one clean trend score — with institutional-style mitigation logic and volatility-projected trend extensions. It gives traders a powerful, visually intuitive way to track momentum, spot trend rotations early, and understand true structural flow beyond simple MA-based approaches. Use it to stay aligned with the dominant swing direction while avoiding noise and false flips.
Pine Script® göstergesi
BigBeluga tarafından
18
mysourcetypesncsLibrary "mysourcetypes" Libreria personale per sorgenti estese (Close, Open, High, Low, Median, Typical, Weighted, Average, Average Median Body, Trend Biased, Trend Biased Extreme, Volume Body, Momentum Biased, Volatility Adjusted, Body Dominance, Shadow Biased, Gap Aware, Rejection Biased, Range Position, Adaptive Trend, Pressure Balanced, Impulse Wave) rclose()   Regular Close   Returns: Close price ropen()   Regular Open   Returns: Open price rhigh()   Regular High   Returns: High price rlow()   Regular Low   Returns: Low price rmedian()   Regular Median (HL2)   Returns: (High + Low) / 2 rtypical()   Regular Typical (HLC3)   Returns: (High + Low + Close) / 3 rweighted()   Regular Weighted (HLCC4)   Returns: (High + Low + Close + Close) / 4 raverage()   Regular Average (OHLC4)   Returns: (Open + High + Low + Close) / 4 ravemedbody()   Average Median Body   Returns: (Open + Close) / 2 rtrendb()   Trend Biased Regular   Returns: Trend-weighted price rtrendbext()   Trend Biased Extreme   Returns: Extreme trend-weighted price rvolbody()   Volume Weighted Body   Returns: Body midpoint weighted by volume intensity rmomentum()   Momentum Biased   Returns: Price biased towards momentum direction rvolatility()   Volatility Adjusted   Returns: Price adjusted by candle's volatility rbodydominance()   Body Dominance   Returns: Emphasizes body over wicks rshadowbias()   Shadow Biased   Returns: Price biased by shadow length rgapaware()   Gap Aware   Returns: Considers gap between candles rrejection()   Rejection Biased   Returns: Emphasizes price rejection levels rrangeposition()   Range Position   Returns: Where close sits within the candle range (0-100%) radaptivetrend()   Adaptive Trend   Returns: Adapts based on recent trend strength rpressure()   Pressure Balanced   Returns: Balances buying/selling pressure within candle rimpulse()   Impulse Wave   Returns: Detects impulsive moves vs corrections
Pine Script® kütüphanesi
stefanoncs tarafından
Option Buying Strategy By Raj PandyaThis strategy is designed for intraday trading on BankNifty using a powerful confluence of trend, structure and momentum. It combines the 9-period Exponential Moving Average (EMA) with Daily Traditional Pivot Points to identify high-probability breakout trades. A Long (CALL) signal is generated when price crosses and closes above both the 9 EMA and the Daily Pivot Point (PP), confirming upward trend strength. A Short (PUT) signal triggers when price crosses and closes below the 9 EMA and PP, signaling downside momentum. To reduce false signals, the strategy uses RSI with a moving average filter to ensure momentum aligns with price action. Risk management is built-in with previous candle high/low stop-loss, a fixed 50-point target, and an automatic trailing stop system to protect profits on trending days. This helps capitalize on strong momentum while managing risk effectively. This strategy works best on the 5-minute timeframe and is optimized for BankNifty futures/options. It aims to capture clean directional moves around key intraday value levels used by institutional traders.
Pine Script® stratejisi
rajpandya18477 tarafından
MTF Multi EMA - IntradayMTF Multi EMA – Intraday Purpose: To quickly analyze trend direction and alignment across multiple timeframes (1m, 3m, 5m, 15m, 30m, and 60m) using fast and slow EMAs for each timeframe — and combine them into a simple “stack score” for easy visual decision-making. The script is tuned for Intraday Trading indicator by default. Concept Each timeframe (TF) — like 1m, 3m, 5m, etc. — has two EMAs: A fast EMA (shorter length) A slow EMA (longer length) When the fast EMA > slow EMA, that timeframe is bullish. When the fast EMA < slow EMA, that timeframe is bearish. By combining multiple timeframes together, the indicator helps you: Identify when all trends align bullishly (strong buy bias) Identify when all trends align bearishly (strong sell bias) Stay out during mixed or sideways phases Inputs Explained Setting Description 1m / 3m / 5m / 15m / 30m / 60m EMA Lengths Controls the EMA period for each timeframe’s fast and slow EMAs. Fast EMA Color Color for all fast EMAs plotted on chart. Slow EMA Color Color for all slow EMAs plotted on chart. Use Smooth Interpolation Ensures smoother plots when merging higher TF data into a smaller chart (recommended ON). Show Toggle visibility of each timeframe’s EMAs. Table Position Lets you move the mini dashboard to any chart corner. Stack Score The Stack Score measures how many timeframes are bullish vs bearish: Stack Score Meaning +6 All timeframes bullish → Strong Uptrend +3 to +5 Majority bullish → Bullish Bias 0 Neutral / Mixed → Sideways Market −3 to −5 Majority bearish → Bearish Bias −6 All timeframes bearish → Strong Downtrend Table Display At the chosen chart corner, you’ll see: TF Direction 1m 🟢 B (Bullish) / 🔴 S (Bearish) 3m 🟢 B (Bullish) / 🔴 S (Bearish) 5m 🟢 B (Bullish) / 🔴 S (Bearish) 15m 🟢 B (Bullish) / 🔴 S (Bearish) 30m 🟢 B (Bullish) / 🔴 S (Bearish) 60m 🟢 B (Bullish) / 🔴 S (Bearish) Score Final alignment score (color-coded) Color meanings: 🟢 Green cell = bullish for that TF 🔴 Red cell = bearish for that TF The Score cell background color changes with strength: Bright green → strong bull Yellow → neutral Red / Maroon → strong bear How to Use for Trading (Intraday NIFTY 5m) Recommended Chart: 5-minute timeframe on NIFTY Futures or major index stocks. 🔹 1. Identify Trend Alignment When Score ≥ +3 → Market bias is bullish. → Look for long entries (buy breakouts or EMA retests). When Score ≤ −3 → Market bias is bearish. → Look for short entries (sell breakdowns or retests). When Score is between −2 and +2 → Trend is mixed. → Best to wait — avoid trading in choppy conditions. 🔹 2. Combine with Price Action Use it with: Trendline breaks or retests Candle confirmation (e.g. bullish engulfing or rejection) Volume surge Example: On NIFTY 5m — if score = +5, price breaks above a descending trendline, and 1m–15m EMAs are all rising → strong long signal. 🔹 3. Avoid Conflicts If lower timeframes (1m/3m/5m) are bullish but higher ones (30m/60m) are bearish, → Trend is short-term bullish but larger bias is down — scalps only, not swings. Optional Alerts If you add alert conditions (as suggested earlier): “Strong Bullish Alignment” triggers when score ≥ +5 “Strong Bearish Alignment” triggers when score ≤ −5 This gives you early alerts when full trend alignment occurs — ideal for breakout setups. Some more Tips Use 5m or 15m chart as your main view. Use Stack Score as a trend filter — trade with it, not against it. Combine with Breakout + Retest strategy or Trendline color-coded system you’re building. In sideways days (score near 0), reduce risk or skip trades.
Pine Script® göstergesi
Just-a-Trader tarafından
Serenity Model VIPI — by yuu_iuHere’s a concise, practical English guide for Serenity Model VIPI (Author: yuu_iu). It covers what it is, how to set it up for daily trading, how to tune it, and how we guarantee non-repainting. Serenity Model VIPI — User Guide (Daily Close, Non‑Repainting) Credits - Author: yuu_iu - Producer: yuu_iu - Platform: TradingView (Pine Script v5) 1) What it is Serenity Model VIPI is a multi‑module, context‑aware trading model that fuses signals from: - Entry modules: VCP, Flow, Momentum, Mean Reversion, Breakout - Exit/risk modules: Contrarian, Breakout Sell, Volume Delta Sell, Peak Detector, Overbought Exit, Profit‑Take - Context/memory: Learns per Ticker/Sector/Market Regime and adjusts weights/aggression - Learning engine: Runs short “fake trades” to learn safely before scaling real trades It produces a weighted, context‑adjusted score and a final decision: BUY, SELL, TAKE_PROFIT, or WAIT. 2) How it works (high level) - Each module computes a score per bar. - A fusion layer combines module scores using accuracy and base weights, then adjusts by: - Market regime (Bull/Bear/Sideways) and optional higher‑timeframe (HTF) bias - Risk control neuron - Context memory (ticker/sector/regime) - Optional LLM mode can override marginal cases if context supports it. - Final decision is taken at bar close only (no intrabar repaint). 3) Non‑repainting guarantee (Daily) - Close‑only execution: All key actions use barstate.isconfirmed, so signals/entries/exits only finalize after the daily candle closes. - No lookahead on HTF data: request.security() reads prior‑bar values (series ) for HTF close/EMA/RSI. - Alerts at bar close: Alerts are fired once per bar close to prevent mid‑bar changes. What this means: Once the daily bar closes, the decision and alert won’t be repainted. 4) Setup (TradingView) - Paste the Pine v5 code into Pine Editor, click Add to chart. - Timeframe: 1D (Daily). - Optional: enable a date window for training/backtest - Enable Custom Date Filter: ON - Set Start Date / End Date - Create alert (non‑repainting) - Condition: AI TRADE Signal - Options: Once Per Bar Close - Webhook (optional): Paste your URL into “System Webhook URL (for AI events)” - Watch the UI - On‑chart markers: AI BUY / AI SELL / AI TAKE PROFIT - Right‑side table: Trades, Win Rate, Avg Profit, module accuracies, memory source, HTF trend, etc. - “AI Thoughts” label: brief reasoning and debug lines. 5) Daily trading workflow - The model evaluates at daily close and may: - Enter long (BUY) when buy votes + total score exceed thresholds, after context/risk checks - Exit via trailing stop, hard stop, TAKE_PROFIT, or SELL decision - Learning mode: - Triggers short “fake trades” every N bars (default 3) and measures outcome after 5 bars - Improves module accuracies and adjusts aggression once stable (min fake win% threshold) - Memory application: - When you change tickers, the model tries to apply Ticker or Sector memory for the current market regime to pre‑bias module weights/aggression. 6) Tuning (what to adjust and why) Core controls - Base Aggression Level (default 1.0): Higher = more trades and stronger decisions; start conservative on Daily (1.0–1.2). - Learning Speed Multiplier (default 3): Faster adaptation after fake/real trades; too high can overreact. - Min Fake Win Rate to Exit Learning (%) (default 10–20%): Raises the bar before trusting more real trades. - Fake Trade Every N Bars (default 3): Frequency of learning attempts. - Learning Threshold Win Rate (default 0.4): Governs when the learner should keep learning. - Hard Stop Loss (%) (default 5–8%): Global emergency stop. Multi‑Timeframe (MTF) - Enable Multi‑Timeframe Confirmation: ON (recommended for Daily) - HTF Trend Source: HOSE:VNINDEX for VN equities (or CURRENT_SYMBOL if you prefer) - HTF Timeframe: D or 240 (for a strong bias) - MTF Weight Adjustment: 0.2–0.4 (0.3 default is balanced) Module toggles and base weights - In strong uptrends: increase VCP, Momentum, Breakout (0.2–0.3 typical) - In sideways low‑vol regimes: raise MeanRev (0.2–0.3) - For exits/defense: Contrarian, Peak, Overbought Exit, Profit‑Take (0.1–0.2 each) - Keep Flow on as a volume‑quality filter (≈0.2) Memory and control - Enable Shared Memory Across Tickers: ON to share learning - Enable Sector‑Based Knowledge Transfer: ON to inherit sector tendencies - Manual Reset Learning: Use sparingly to reset module accuracies if regime changes drastically Risk management - Hard Stop Loss (%): 5–8% typical on Daily - Trailing Stop: ATR‑ and volatility‑adaptive; tightens faster in Bear/High‑Vol regimes - Max hold bars: Shorter in Bear or Sideways High‑Vol to cut risk Alerts and webhook - Use AI TRADE Signal with Once Per Bar Close - Webhook payload is JSON, including event type, symbol, time, win rates, equity, aggression, etc. 7) Recommended Daily preset (VN equities) - MTF: Enable, Source: HOSE:VNINDEX, TF: D, Weight Adj: 0.3 - Aggression: 1.1 - Learning Speed: 3 - Min Fake Win Rate to Exit Learning: 15% - Hard SL: 6% - Base Weights: - VCP 0.25, Momentum 0.25, Breakout 0.15, Flow 0.20 - MeanRev 0.20 (raise in sideways) - Contrarian/Peak/Overbought/Profit‑Take: 0.10–0.20 - Leave other defaults as is, then fine‑tune by symbol/sector. 8) Reading the UI - Table highlights: Real Trades, Win Rate, Avg Profit, Fake Actions/Win%, VCP Acc, Aggression, Equity, Score, Status (LEARNING/TRADING/REFLECTION), Last Real, Consec Loss, Best/Worst Trade, Pattern Score, Memory Source, Current Sector, AI Health, HTF Trend, Scheduler, Memory Loaded, Fake Active. - Shapes: AI BUY (below bar), AI SELL/TAKE PROFIT (above bar) - “AI Thoughts”: module contributions, context notes, debug lines 9) Troubleshooting - No trades? - Ensure timeframe is 1D and the date filter covers the chart range - Check Scheduler Cooldown (3 bars default) and that barstate.isconfirmed (only at close) - If MTF is ON and HTF is bearish, buy bias is reduced; relax MTF Weight Adjustment or module weights - Too many/too few trades? - Lower/raise Base Aggression Level - Adjust base weights on key modules (raise entry modules to be more active; raise exit/defense modules to be more selective) - Learning doesn’t end? - Increase Min Fake Win Rate to Exit Learning only after it’s consistently stable; otherwise lower it or reduce Fake Trade Every N Bars 10) Important notes - The strategy is non‑repainting at bar close by design (confirmed bars + HTF series + close‑only alerts). - Backtest fills may differ from live fills due to slippage and broker rules; this is normal for all TradingView strategies. - Always validate settings across multiple symbols and regimes before going live. If you want, I can bundle this guide into a README section in your Pine code and add a small on‑chart signature (Author/Producer: yuu_iu) in the top‑right corner.
Pine Script® stratejisi
Thach999 tarafından
1
RSI with SMA + 70/60/50/40/30 LevelsIndicator Name: RSI with SMA + 70/60/50/40/30 Levels 🧩 Concept Overview: यह indicator दो popular tools को combine करता है: RSI (Relative Strength Index) – momentum indicator जो market ke overbought aur oversold zones ko identify karta hai. SMA (Simple Moving Average) – trend smoother jo RSI ke movement ko average karke lagging confirmation deta hai. इन दोनों के साथ 70, 60, 50, 40, और 30 की multiple reference lines draw की जाती हैं, ताकि trader को RSI ke swings aur reversals easily samajh aaye. ⚙️ Indicator Components: RSI Line: Default Period: 14 (customize kar sakte ho). Show karta hai price momentum – agar RSI 70 ke upar jaata hai to market overbought zone me hota hai; agar 30 ke niche jaata hai to oversold zone me. SMA on RSI: RSI ka smooth version (usually 9-period SMA). Trend confirmation ke liye – jab RSI line SMA ke upar cross karti hai to bullish signal, aur neeche cross kare to bearish signal. Horizontal Levels: 70: Overbought zone (potential sell area). 60: Strong bullish momentum line (trend confirmation). 50: Neutral / midline (trend direction flip area). 40: Weak bearish zone (trend losing strength). 30: Oversold zone (potential buy area). 💡 How to Use: Trend Identification: RSI > 60 aur SMA ke upar → Bullish trend. RSI < 40 aur SMA ke neeche → Bearish trend. Reversal Spotting: RSI 70 ke upar jaake wapas niche aaye → Sell signal. RSI 30 ke neeche jaake wapas upar aaye → Buy signal. Confirmation Using SMA: RSI cross SMA from below → Confirmed bullish reversal. RSI cross SMA from above → Confirmed bearish reversal.
Pine Script® göstergesi
sharesmarket_sunil tarafından
Balanced Delta Volume Profile (Zeiierman)█ Overview Balanced Delta Volume Profile (Zeiierman) builds a vertical, price-by-price profile that blends total participation with balance quality. Instead of plotting raw volume alone, it weights each price bin by: how balanced buyers vs. sellers were, how compressed price was inside that bin, how often price revisited it. The result spotlights fair value and acceptance zones while still revealing momentum/imbalance areas—ideal for reading rotation vs. trend, continuation vs. exhaustion, and the prices that truly matter. Highlights Balanced score that fuses delta symmetry, price compression, and hit frequency. Optional heat spectrum for instant read of participation density and balance strength. POC-like auto highlight of the dominant price level within the lookback window. Works across timeframes for session profiling, swing context, or regime shifts. █ How It Works ⚪ Profile Construction The script scans a fixed History Length and divides the full high–low span into Bin Count price bins. For every bar in the window, its volume is proportionally distributed across the bins it overlaps, so wide-range bars contribute across multiple bins, while narrow bars concentrate where they traded most. This yields per-bin totals for: Total Volume (participation) Positive / Negative Volume (up vs. down bar contribution) Hit Count (how often price touched the bin) Average Price Range (mean bar range inside the bin; a proxy for compression) ⚪ Delta & Direction For each bin, delta symmetry is measured via the ratio of |pos − neg| to total volume. Bins with balanced two-sided flow score higher than one-sided, runaway bins. This curbs the tendency of raw volume profiles to over-reward impulsive bursts. ⚪ Balance Score Each price bin gets a balance score that multiplies three normalized components: Delta Balance: rewards bins where buy/sell pressure is symmetrical (configurable via Volume Momentum Weight). Price Compression: rewards bins where average bar range is relatively small (configurable via Price Momentum Weight). Durability: rewards bins revisited often (configurable via Hits Weight). A Min Hits Filter removes flimsy, single-touch bins from dominating the score. The profile can display pure totals or Average Mode (Vol/Hit) to compare bins fairly when hit counts differ. ⚪ Display & Heat Spectrum The final plotted bar length per bin is the display volume (total or average) weighted by the balance score and normalized to 100. POC-like Highlight: The 100% bin is outlined (and labeled) when Highlight Max Volume Bin is ON. Heat Spectrum (optional): A background gradient scales with normalized bar length and balance hue. Balance Hue: Interpolates between Balance Low/High Colors so high-balance bins visually pop as “accepted value.” █ How to Use The profile is effectively a map of price acceptance: High, bright bars = strong participation at balanced prices → fair value/rotation zones. Thin, muted bars = poor acceptance → imbalance or transition areas. POC-style level = most influential price in the lookback window. ⚪ Find Fair Value & Acceptance Thick, high-balance bins mark value. Expect rotation: price often revisits or oscillates around these areas. They’re prime zones for mean-reversion fades, scale-ins, and risk-defined trades against the edges. ⚪ Identify Imbalance & Funnels Low-balance, low-hit bins often act like air pockets—price can move through them quickly. These zones are helpful for continuation trades into thin areas or for timing breakout pulls back into acceptance. ⚪ POC Dynamics When price leaves the POC and returns, watch for re-acceptance (price comes back into the POC or high-balance zone and stays there.) vs. rejection (trend continuation away from value). The auto-highlight makes this quick to judge. █ Settings History Length – Bars scanned for the profile. Longer = broader context, slower to adapt. Bin Count – Vertical resolution of bins between the window’s min and max price. Display Shift – Offsets the rendering rightward for clarity. Average Mode (Vol/Hit) – ON uses average volume per visit; OFF uses total volume. Volume Momentum Weight – Emphasizes two-way flow; higher values favor balanced bins over one-sided deltas. Price Momentum Weight – Emphasizes compression; higher values favor narrow-range, coiling price action. Hits Weight – Rewards bins revisited often; higher values favor durable acceptance. Min Hits Filter – Minimum visits a bin needs to qualify for the balance score. Show Heat Spectrum – Background gradient for quick read of density and balance. Highlight Max Volume Bin – Outline + raw volume label for the dominant bin. Max Volume Color – Color used for that highlight. Balance Low/High Colors – Gradient endpoints for balance hue across the profile. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® göstergesi
Zeiierman tarafından
10
Weis Wave Volume MTF 🎯 Indicator Name Weis Wave Volume (Multi‑Timeframe) — adapted from the original “Weis Wave Volume by LazyBear.” This version adds multi‑timeframe (MTF) readings, configurable colors, font size, and screen position for clear dashboard‑style display. 🧠 Concept Background — What is Weis Wave Volume (WWV)? The Weis Wave Volume indicator originates from Wyckoff and David Weis’ techniques. Its purpose is to link price movement “waves” with the amount of traded volume to reveal how strong or weak each wave is. Instead of showing bars one by one, WWV accumulates the total volume while price keeps moving in the same direction. When price direction changes (up → down or down → up), it: Finishes the previous wave volume total. Starts a new wave and begins accumulating again. Those wave volumes help traders see: Effort vs Result: Big volume with small price move ⇒ absorption; low volume with big move ⇒ weak participation. Trend confirmation or exhaustion: High volume waves in trend direction strengthen it, while low‑volume waves hint exhaustion. ⚙️ How this Script Works Trend & Wave Detection Compares close with the previous bar to determine up or down movement (mov). Detects trend reversals (when mov direction changes). Builds “waves,” each representing a continuous run of bars in one direction. Volume Accumulation While price keeps the same direction, the script adds each bar’s volume to the running total (vol). When direction flips, it resets that total and starts a new wave. Multi‑Timeframe Computation Calculates these wave volumes on three timeframes at once, chosen dynamically: Active Chart Timeframe Displays WWV for: 1 min  1 min   5 min  5 min   15 min  15 min   Any other  Chart TF   It uses request.security() to pull each timeframe’s latest WWV value and current wave direction. Visual Output Instead of plotting histogram bars, it shows a table with three numeric values: WWV (1): 25.3 M | (15): 312 M | (240): 2.46 B Each value is color‑coded: user‑selected Uptrend Color when price wave = up user‑selected Downtrend Color when wave = down You can position this small table in any corner/center (top / bottom × left / center / right). Font size is user‑adjustable (Tiny → Huge). 📈 How Traders Use It Quickly gauge buying vs selling effort across multiple horizons. Compare short‑term wave volume to higher‑timeframe waves to spot: Alignment → all up and big volumes = strong trend Divergence → small or opposite‑colored higher‑TF wave = potential reversal or pause Combine with Wyckoff, VSA, or standard trend analysis to judge if a breakout or pullback has real participation. 🧩 Key Features of This Version Feature Description Multi‑Timeframe Panel Displays WWV values for 3 selected TFs at once Dynamic TF Mapping Auto‑adjusts which TFs to use based on chart Up/Down Color Coding Customizable colors for wave direction Adjustable Font and Placement Set font size (Tiny→Huge) and screen corner/center No Histograms Keeps chart clean; acts as a compact WWV dashboard
Pine Script® göstergesi
DrodzCip tarafından
チャットGPTimport yfinance as yf import pandas as pd import requests from bs4 import BeautifulSoup # 株たんのスクリーニング結果URL（例：200日線以下） url = "https://kabutan.jp/warning/?mode=3_1" r = requests.get(url) soup = BeautifulSoup(r.text, "html.parser") # 銘柄コードと企業名を抽出 stocks = for link in soup.select("td a "): code = link .split('=') name = link.text.strip() if code.isdigit(): stocks.append({"code": code, "name": name}) results = for stock in stocks : # ←テスト用に10銘柄まで ticker = f"{stock }.T" df = yf.download(ticker, period="1y", interval="1d") # EMA200 df = df .ewm(span=200, adjust=False).mean() below_ema200 = df .iloc < df .iloc # 株たんの個別ページからPER・成長率を取得 stock_url = f"https://kabutan.jp/stock/?code={stock }" res = requests.get(stock_url) s = BeautifulSoup(res.text, "html.parser") try: per = s.find(text="PER").find_next("td").text growth = s.find(text="売上高増減率").find_next("td").text except: per, growth = "N/A", "N/A" results.append({ "銘柄コード": stock , "企業名": stock , "200EMA以下": below_ema200, "PER": per, "売上成長率": growth }) # 結果をCSV出力 df_result = pd.DataFrame(results) df_result.to_csv("割安EMA200以下銘柄.csv", index=False, encoding="utf-8-sig") print(df_result)
Pine Script® göstergesi
toshi2103 tarafından
Simple FloatFloat Display Indicator A simple, clean indicator that displays the current float (shares outstanding float) for any stock directly in your indicator status line at the top left of the chart. Features: - Shows the float value with automatic K/M formatting for thousands and millions - No chart clutter - value only appears in the status line, nothing plotted on the chart - Works on any stock that has float data available - Lightweight and efficient Perfect for traders who want quick access to float information without switching between windows or cluttering their charts. Note: Float data availability depends on TradingView's financial data for the specific ticker. Some tickers may not have this data available.
Pine Script® göstergesi
maxiejazz tarafından
Run-Stacked Percentage MoveTracks cumulative percentage change from a dynamic baseline that resets when price direction flips. The baseline resets to the previous bar's close whenever a non-zero return has the opposite sign from the last non-zero return. Zero-change bars are ignored for flip detection but continue displaying the running cumulative percentage. Teal histogram bars indicate positive moves from the baseline, red bars indicate negative moves. Useful for comparing directional momentum persistence across different instruments - configure the symbol input to track any security.
Pine Script® göstergesi
NekoKeys tarafından
Vwap Daily By SamsungTitle Daily VWAP with Historical Lookback (Logic Fix) Description This script calculates and plots the daily Volume-Weighted Average Price (VWAP), an essential tool for intraday traders. What makes this indicator special is its robust plotting logic. Unlike many simple VWAP scripts that struggle to show data for previous days, this version includes a crucial fix that allows you to reliably display historical VWAP lines for as many days back as you need. This allows for more comprehensive backtesting and analysis of how price has interacted with the VWAP on previous trading days. This is an indispensable tool for traders who use VWAP as a dynamic level of support/resistance, a benchmark for trade execution quality, or a gauge of the day's trend. Key Features Historical VWAP Display: Easily plot VWAP for multiple past days on your chart. Simply set the number of lookback days in the settings. Accurate Daily Calculation: The VWAP calculation correctly resets at the beginning of each new trading session (00:00 server time). Fully Customizable: You have full control over the appearance of the VWAP line, including its color, width, and style (Solid or Stepped). Robust Plotting Engine: This script solves the common Pine Script issue where conditionally plotted historical lines fail to render. It works reliably on all intraday timeframes. Built-in Debug Mode: For advanced users or those curious about the inner workings, a comprehensive debug mode can be enabled to display raw VWAP values, cumulative volume, and timeframe warnings. How to Use Add the "Daily VWAP with Historical Lookback" indicator to your chart. IMPORTANT: Make sure you are on an intraday timeframe (e.g., 1H, 30M, 15M, 5M, 1M). This indicator is designed for intraday analysis and will display a warning if used on a daily or higher timeframe. Open the indicator's settings. In the "VWAP Settings" tab, adjust the "Lookback Days to Display" to set how many previous days of VWAP you want to see. (e.g., 0 for today only, 1 for today and yesterday, 10 for the last 10 days). Customize the line's appearance in the "Line Style" tab. The "Logic Fix" Explained (For Developers) A common challenge in Pine Script is conditionally plotting data for historical bars. Many scripts attempt this by dynamically changing the plot color to na (transparent) for bars that shouldn't be displayed. This method is often unreliable and can result in the entire plot failing to render. This script employs a more robust and standard approach: manipulating the data series itself. The Problem: plot(vwap, color = shouldPlot ? color.red : na) can be buggy. The Solution: plot(shouldPlot ? vwap : na, color = color.red) is reliable. Instead of changing the color, we create a new data series (plotVwap). This series contains the vwapValue only on the bars that meet our date criteria. On all other bars, its value is na (Not a Number). The plot() function is designed to handle na values by simply "lifting the pen," creating a clean break in the line. This ensures that the VWAP is drawn only for the selected days, with 100% reliability across all historical data. Settings Explained Lookback Days to Display: Sets the number of past days (from the last visible bar) for which to display the VWAP. Line Color, Width, and Style: Standard cosmetic settings for the VWAP line. Enable Debug Mode (Master Switch): Toggles all debugging features on or off. It is enabled by default to help new users. Display Debug: Cumulative Volume: When enabled, it shows the daily cumulative volume in a gray area on a separate pane. Display Debug: Raw VWAP Value: When enabled, it plots the raw, unfiltered VWAP calculation for all days on the chart, helping to verify the core logic. This script is provided for educational and informational purposes. Trading involves significant risk. Always conduct your own research and analysis before making any trading decisions. If you find this script useful, a 'Like' is always appreciated! Happy trading
Pine Script® göstergesi
samsungtrade8888b tarafından
MACD HTF Hardcoded (A/B Presets) + Regimes [CHE] MACD HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe MACD emulation with acceptance-based regime filter and on-chart diagnostics Summary This indicator emulates a higher-timeframe MACD directly on the current chart using two hardcoded preset families and a time-bucket mapping, avoiding cross-timeframe requests. It classifies four MACD regimes and applies an acceptance filter that requires several consecutive bars before a state is considered valid. A small dead-band around zero reduces noise near the axis. An on-chart table reports the active preset, the inferred time bucket, the resolved lengths, and the current regime. Pine version: v6 Overlay: false Primary outputs: MACD line, Signal line, Histogram columns, zero line, regime-change alert, info table Motivation: Why this design? Cross-timeframe indicators often rely on external timeframe requests, which can introduce repaint paths and added latency. This design provides a deterministic alternative: it maps the current chart’s timeframe to coarse higher-timeframe buckets and uses fixed EMA lengths that approximate those views. The dead-band suppresses flip-flops around zero, and the acceptance counter reduces whipsaw by requiring sustained agreement across bars before acknowledging a regime. What’s different vs. standard approaches? Baseline: Classical MACD with user-selected lengths on the same timeframe, or higher-timeframe MACD via cross-timeframe requests. Architecture differences: Hardcoded A and B length families with a bucket map derived from the chart timeframe. No `request.security`; all calculations occur on the current series. Regime classification from MACD and Histogram sign, gated by an acceptance count and a small zero dead-band. Diagnostics table for transparency. Practical effect: The MACD behaves like a slower, higher-timeframe variant without external requests. Regimes switch less often due to the dead-band and acceptance logic, which can improve stability in choppy sessions. How it works (technical) The script derives a coarse bucket from the chart timeframe using `timeframe.in_seconds` and maps it to preset-specific EMA lengths. EMAs of the source build MACD and Signal; their difference is the Histogram. Signs of MACD and Histogram define four regimes: strong bull, weak bull, strong bear, and weak bear. A small, user-defined band around zero treats values near the axis as neutral. An acceptance counter checks whether the same regime persisted for a given number of consecutive bars before it is emitted as the filtered regime. A single alert condition fires when the filtered regime changes. The histogram columns change shade based on position relative to zero and whether they are rising or falling. A persistent table object shows preset, bucket tag, resolved lengths, and the filtered regime. No cross-timeframe requests are used, so repaint risk is limited to normal live-bar movement; values stabilize on close. Parameter Guide Source — Input series for MACD — Default: Close — Using a smoother source increases stability but adds lag. Preset — A or B length family — Default: “3,10,16” — Switch to “12,26,9” for the classic family mapped to buckets. Table Position — Anchor for the info table — Default: Top right — Choose a corner that avoids covering price action. Table Size — Table text size — Default: Normal — Use small on dense charts, large for presentations. Dark Mode — Table theme — Default: Enabled — Match your chart background for readability. Show Table — Toggle diagnostics table — Default: Enabled — Disable for a cleaner pane. Zero dead-band (epsilon) — Noise gate around zero — Default: Zero — Increase slightly when you see frequent flips near zero. Acceptance bars (n) — Bars required to confirm a regime — Default: Three — Raise to reduce whipsaw; lower to react faster. Reading & Interpretation Histogram columns: Above zero indicates bullish pressure; below zero indicates bearish pressure. Darker shade implies the histogram increased compared with the prior bar; lighter shade implies it decreased. MACD vs. Signal lines: The spread corresponds to histogram height. Regimes: Strong bull: MACD above zero and Histogram above zero. Weak bull: MACD above zero and Histogram below zero. Strong bear: MACD below zero and Histogram below zero. Weak bear: MACD below zero and Histogram above zero. Table: Inspect active preset, bucket tag, resolved lengths, and the filtered regime number with its description. Practical Workflows & Combinations Trend following: Use strong bull to favor long exposure and strong bear to favor short exposure. Use weak states as pullback or transition context. Combine with structure tools such as swing highs and lows or a baseline moving average for confirmation. Exits and risk: In strong trends, consider exiting partial size on a regime downgrade to a weak state. In choppy sessions, increase the acceptance bars to reduce churn. Multi-asset / Multi-timeframe: Works on time-based charts across liquid futures, indices, currencies, and large-cap equities. Bucket mapping helps retain a consistent feel when moving from lower to higher timeframes. Behavior, Constraints & Performance Repaint/confirmation: No cross-timeframe requests; values can evolve intrabar and settle on close. Alerts follow your TradingView alert timing settings. Resources: `max_bars_back` is set to five thousand. Very large resolved lengths require sufficient history to seed EMAs; expect a warm-up period on first load or after switching symbols. Known limits: Dead-band and acceptance can delay recognition at sharp turns. Extremely thin markets or large gaps may still cause brief regime reversals. Sensible Defaults & Quick Tuning Start with preset “3,10,16”, dead-band near zero, and acceptance of three bars. Too many flips near zero: increase the dead-band slightly or raise the acceptance bars. Too sluggish in clean trends: reduce the acceptance bars by one. Too sensitive on fast lower timeframes: switch to the “12,26,9” preset family or raise the acceptance bars. Want less clutter: hide the table and keep the alert. What this indicator is—and isn’t This is a visualization and regime layer for MACD using higher-timeframe emulation and stability gates. It is not a complete trading system and does not generate position sizing or risk management. Use it with market structure, execution rules, and protective stops. Disclaimer 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. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® göstergesi
chervolino tarafından