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DMI_HMA Oscillator Smoothed by HMA v2The script provided, titled "DMI_HMA Oscillator Smoothed by HMA v2," is a technical analysis tool written in Pine Script (Version 6) for the TradingView platform. It represents a hybrid approach to momentum trading, combining the directional insight of the Directional Movement Index (DMI) with the noise-reduction capabilities of the Hull Moving Average (HMA). The purpose of this indicator is to provide a cleaner, lag-reduced view of market trend strength and direction, filtering out the erratic noise often associated with raw DMI readings. Using this indicator is highly appropriate for traders who struggle with the "noise" of standard momentum indicators but cannot afford the delay of traditional smoothing. Noise Reduction: Standard DMI crossovers can trigger frequently in sideways markets. The HMA smoothing suppresses these minor fluctuations, helping traders stay in a trade longer without being shaken out by temporary volatility. Lag Management: Most smoothing techniques (like SMA or EMA) introduce significant lag, making signals arrive too late. The HMA is specifically designed to minimize this, making it an excellent choice for a leading indicator like DMI. Clarity: By converting the two-line DMI system into a single oscillator relative to a zero line, the visual complexity is reduced. A trader simply needs to observe if the teal line is above or below the gray dashed zero line. Conclusion: The DMI_HMA Oscillator is a sophisticated yet elegant tool. It effectively addresses the primary weakness of the standard DMI (noise) without sacrificing its primary strength (responsiveness). It is best used as a trend-confirmation tool in conjunction with price action analysis, serving as a reliable filter for determining the prevailing market bias.
Pine Script® göstergesi
vlenarcic tarafından
Sniper BB + VWAP System (with SMT Divergence Arrows)STEP 1: Load two correlated futures charts. Example: CL + RB/SI+GC/ NQ+ES STEP 2: Add Bollinger Bands (20, 2.0) on both. Optional add (20, 3.0). STEP 3: Watch for a BB tag on one chart but not the other. STEP 4: Wait for a reclaim candle back inside the band. STEP 5: Enter with stop below/above the wick + 3.0 BB. STEP 6: Scale out midline, then opposite band. STEP 7: Hold partials when both pairs confirm trend. *You can take the vwap bands off the chart if it is too cluttered.
Pine Script® göstergesi
the1nepercent tarafından
1
Thirdeyechart Index – 7 MajorsThe 7 Majors Masterclass is a professional TradingView indicator designed for traders who want a fast, clear, and comprehensive view of the market direction of the 7 major forex pairs. This version monitors EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD, AUDUSD, and NZDUSD simultaneously, allowing traders to see global forex trends at a glance. The indicator calculates percentage changes for each pair across Weekly (W), Daily (D), 4-Hour (H4), and 1-Hour (H1) timeframes. Positive changes are highlighted in blue, negative changes in red, giving an immediate visual cue of market direction. A Total Average Trend Strength is calculated across all timeframes, helping traders quickly identify strong, weak, or neutral trends for each currency pair. Math Logic Behind the Indicator Percent change per timeframe: pct_tf = ((close_tf - open_tf) / open_tf) * 100 Collect all timeframe values for each pair: values = Total Average Trend Strength: Total_Avg = sum(values) / 4 Trend interpretation (default thresholds): ≥ +0.50 → Strong Uptrend +0.15 to +0.49 → Weak Uptrend −0.14 to +0.14 → Neutral −0.49 to −0.15 → Weak Downtrend ≤ −0.50 → Strong Downtrend The table layout is boxed and clean, making it easy to compare multiple pairs simultaneously. Traders can use it for intraday, swing, or long-term analysis, quickly assessing which pairs are strong or weak and planning trades accordingly. This indicator is informational and educational only. It does not provide buy or sell signals. Users must perform their own analysis and apply proper risk management before taking any trades. Disclaimer / Copyright: © 2025 Thirdeyechart. All rights reserved. Redistribution, copying, or commercial use without permission is prohibited. The author is not responsible for any trading losses or financial decisions made using this indicator.
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Spiderweb11 tarafından
BybitMinOrderSizeBybit Order Quantity Compliance Library This library provides all utility functions required for TradingView strategies that execute orders on Bybit via webhooks. Problem: Bybit enforces two strict rules on every order submitted: Minimum Order Size – each symbol has its own minimum quantity. Quantity Precision – each symbol requires rounding to the correct number of decimals. TradingView does not expose this metadata, so strategies can easily submit quantities that Bybit rejects as invalid. Solution (This Library): This library embeds full Bybit contract metadata, including: A complete mapping of Bybit symbols → minimum order size A complete mapping of Bybit symbols → allowed precision (decimal places) A helper to normalize tickers (removing `.P` suffix for Bybit perpetuals) It also exposes utility functions to automatically make your quantities valid: `normalizeTicker()` — removes `.P` for consistent lookup `getMinOrderSize()` — returns the correct minimum order size `getPrecisionForTicker()` — returns required quantity precision `floorQty()` — floors quantities to valid minimum increments `roundQty()` — rounds quantities to valid decimal precision Use Cases: Ensuring webhook strategies never send too-small orders Rounding limit/market orders correctly before execution Making Pine strategies execution-accurate for Bybit Avoiding "order rejected: qty too small / invalid precision" errors This library is recommended for: Live trading via TradingView → Bybit webhooks Backtesting strategies that simulate real Bybit constraints Source: www.bybit.com Updated: 2025-11-25 — Bybit contract metadata normalizeTicker(symbol)   Normalizes Bybit perpetual tickers by removing the ".P" suffix. precisionFromMinOrder(minOrder)   Derives precision (decimal places) from minimum order size. getMinOrderSize(symbol)   Retrieves the minimum order size for the current or given symbol. getPrecisionForTicker(symbol)   Retrieves the required quantity precision (decimal places) for a given Bybit symbol. floorQty(qty, symbol)   Rounds a quantity down to the nearest valid minimum order size for a given symbol. roundQty(qty, symbol)   Rounds a quantity to the valid precision for the specified symbol.
Pine Script® kütüphanesi
tkarolak tarafından
HMA+RVOL Strategy Hariss 369The Hull Moving Average (HMA) is a smooth, fast, and highly responsive moving average created by Alan Hull. It reduces lag significantly while still maintaining smoothness, making it one of the most popular tools for trend detection and entries. It is widely used for trend filter. Hull Moving Average(HMA) with RVOL strengthens the trend as volume is prime factor of price movement. Trading with HMA: Simple method is buy when price closes above HMA , stop less below the low of last candle and target is 1.5 or 2 times of stop loss. The reverse is for sell. The HMA automatically turns to green on bull trend and red on bear trend for better visual confirmation. Adding RVOL to HMA is better method of trading. Buy signal is initiated when price closes above HMA and RVOL is greater than 1.2. Sell signal is initiated when price closes below 89 HMA and rovl is greater than 1.2. One can change the value of RVOL according to trading style and type asset being traded. It is a back tested strategy.
Pine Script® stratejisi
Hariss369 tarafından
Nuh's Stochastic + Structure 1.0Nuh's Stochastic + Structure 1.0 is an advanced momentum–structure fusion indicator designed to identify high-probability reversal and continuation zones using a multi-layer confirmation engine. The script combines enhanced Stochastic analysis, market structure detection (HH/HL/LH/LL), divergence tracking, volume spikes, higher-timeframe trend alignment, and extreme-duration filters to deliver highly reliable buy/sell signals. Each signal is dynamically scored for strength, and a compact one-line trend panel provides real-time market state at a glance. Colors and visual elements follow a clear and intuitive hierarchy optimized for fast decision-making. Ideal for crypto, indices, and forex traders who want precision entries with minimal noise.
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nuhkoc1960 tarafından
Thirdeyechart Gold – 8 XAUThe XAU – 8 Gold Version is the newest and most advanced edition in the Masterclass series, designed specifically for gold traders who need fast, accurate, and multi-angle analysis of XAU behavior across global markets. This version monitors 8 different gold-related symbols simultaneously, presenting all data inside a clean, solid boxed layout. It gives traders a clear view of global XAU direction without switching charts. This version includes percentage change calculations for Weekly (W), Daily (D), 4-Hour (H4), and 1-Hour (H1) timeframes for all eight gold-related pairs you insert. Positive values appear in blue, negative in red. The upgraded layout is optimized to remain clean, compact, and readable even with eight gold symbols displayed. Fast Trend Detection With Math Logic The core of the Final Version is the Total Average Trend Strength Calculation, allowing traders to instantly identify whether gold is in a strong uptrend, weak uptrend, neutral zone, weak downtrend, or strong downtrend—based entirely on mathematical logic. Math Logic Used: Percent change per timeframe: pct_tf = ((close_tf - open_tf) / open_tf) * 100 All timeframe values are collected: values = Total Average Strength: Total_Avg = sum(values) / 4 Final Strength Interpretation (default thresholds): ≥ +0.50 → Strong Uptrend +0.15 to +0.49 → Weak Uptrend −0.14 to +0.14 → Neutral −0.49 to −0.15 → Weak Downtrend ≤ −0.50 → Strong Downtrend This system ensures fast, unbiased direction detection across all 8 gold symbols at once. The 8-Gold layout allows traders to see global pressure on XAU from multiple markets such as USD, JPY, EUR, GBP, AUD, CHF, CAD, and NZD — making this version extremely powerful for global gold trend reading. Disclaimer © 2025 Thirdeyechart. All rights reserved. This indicator is for educational and informational purposes only. Not a buy/sell signal. Redistribution or commercial use without permission is strictly prohibited. The author is not responsible for any trading loss.
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Spiderweb11 tarafından
Probabilistic Panel - COMPLETE VERSION📘 Probabilistic Panel — User Manual ________________________________________ INTRODUCTION The Probabilistic Panel is an advanced TradingView indicator that merges multiple technical-analysis components to provide a probabilistic evaluation of market direction. It is composed of several sections that assess trend, volume, price zones, support and resistance, multiple timeframes, and candle distribution. ________________________________________ PANEL STRUCTURE 1. HEADER • PROBABILISTIC PANEL: Indicator name. • FULL VERSION: Indicates that all functionalities are enabled. ________________________________________ 2. GENERAL INFORMATION • ASSET: Displays the asset symbol being analyzed. • LIMITS: Shows score thresholds for classifying setups (A+, B, C). ________________________________________ 3. DIRECTION PROBABILITIES • PROB: Displays probability of upward movement (upPct) and downward movement (downPct) in percentage. o Importance: Indicates the direction with the highest probability based on weighted factors. ________________________________________ 4. CONTINUATION BIAS • BIAS: Shows the probability of continuation of the current trend (intrProbCont). o Importance: Evaluates whether the market is likely to continue in the same direction. ________________________________________ 5. MULTI-TIMEFRAME ANALYSIS (MTF) • MTF: Shows trend direction across multiple timeframes (1D, 1H, 15M, 5M, 1M) using arrows (↑ uptrend, ↓ downtrend, → sideways). o Importance: Helps identify convergence or divergence between timeframes. • ALIGNED MTF: Displays the percentage of alignment between timeframes. o Importance: Higher alignment indicates stronger trends. ________________________________________ 6. VOLUME • VOLUME: Indicates whether volume is “INCREASING”, “DECREASING”, or “STABLE.” o Importance: Increasing volume confirms trend strength. ________________________________________ 7. TECHNICAL INDICATORS • RSI/ROC: Displays RSI (Relative Strength Index) and ROC (Rate of Change). o Importance:  RSI > 65 → Overbought  RSI < 35 → Oversold  ROC → Momentum strength indicator ________________________________________ 8. PRICE ZONE • ZONE: Classifies current price as “PREMIUM” (above average), “DISCOUNT” (below average), or “EQUILIBRIUM.” o Importance: Helps identify buying/selling opportunities based on mean-reversion logic. ________________________________________ 9. CANDLE ANALYSIS • AMPLITUDE: Shows current candle size in percentage and ticks. o Importance: Candles above minimum amplitude threshold are considered trade-valid. • FORMATION: Classifies candle as: o HIGH INDECISION o TOP REJECTION o BOTTOM REJECTION o CONVICTION o MIXED o Importance: Reflects market sentiment and psychology. • WICKS: Displays upper and lower wick size in percentage. o Importance: Longer wicks suggest rejection or indecision. • RATIO: Ratio between total wick size and candle body. o Importance: High ratio = indecision; low ratio = conviction. ________________________________________ 10. TRENDS • AMPLITUDE TREND: Indicates if amplitude is “INCREASING,” “DECREASING,” or “STABLE.” o Importance: Increasing amplitude may signal rising volatility. • CONVICTION TREND: Indicates recent candle conviction: o STRONG UP o STRONG DOWN o INDECISIVE o MIXED o Importance: Measures the strength of recent candles. ________________________________________ 11. PROBABILITY DIFFERENCE (DIF PROB) • Shows the percentage difference between upward and downward probabilities, classified as: o EXCELLENT: Very favorable o GOOD: Significant o MEDIUM: Moderate (avoid entering) o MARKET LOSING STRENGTH: Small difference (avoid entering) o UNSTABLE MARKET: Very small difference (do not trade) o Importance: Higher difference = more directional clarity. ________________________________________ 12. CONFIRMATIONS • Shows how many consecutive confirmations of the current signal were achieved relative to the configured requirement. o Importance: More confirmations increase reliability. ________________________________________ 13. SCORE & CLASSIFICATION • SCORE: Final score from 0 to 100, calculated based on multiple factors. o Higher scores = better setups. • CLASSIFICATION: Setup categorized as: o A+ SETUP o B SETUP o C SETUP o DO NOT TRADE o Importance: Defines whether conditions are favorable. ________________________________________ 14. ACTION • ACTION: Suggests “BUY,” “SELL,” or “WAIT.” o Importance: Final actionable signal. ________________________________________ DECISION LOGIC The indicator uses a weighted combination of multiple factors: 1. Trend (wTrend): Based on the price relative to EMA50. 2. Volume (wVol): Based on recent volume vs. its average. 3. Zone (wZona): Based on price position within recent price range. 4. Support/Resistance (wSR): Based on strength of S/R levels. 5. MTF (wMTF): Timeframe alignment. 6. Distribution (wDist): Distribution of bullish, bearish, and neutral candles. The final score integrates: • Probability of upward movement • Continuation bias • MTF conflict • Moving-average alignment • Volume • Extreme RSI conditions ________________________________________ FALSE-SIGNAL FILTERS • Close-Only Mode: Updates calculations only on candle close. • Minimum Candle Size: Ignores very small candles. • Consecutive Confirmations: Requires repeated signal confirmation. • Minimum Probability Difference: Enforces a minimum separation between bullish and bearish probabilities. ________________________________________ CONCLUSION The Probabilistic Panel is a comprehensive tool that integrates multiple technical-analysis dimensions to deliver more reliable trading signals. Parameters must be adjusted according to the asset and timeframe. Remember: no indicator is infallible. Always combine it with risk management and additional confirmations.
Pine Script® göstergesi
pf0210 tarafından
DEMA ATR Strategy [PrimeAutomation]⯁ OVERVIEW The DEMA ATR Strategy combines trend-following logic with adaptive volatility filters to identify strong momentum phases and manage trades dynamically. It uses a Double Exponential Moving Average (DEMA) anchored to ATR volatility bands, creating a self-adjusting trend baseline. When the adjusted DEMA shifts direction, the strategy enters positions and scales out profit in phases based on ATR-driven targets. This system adapts to volatility, filters noise, and seeks sustained directional moves. ⯁ KEY FEATURES DEMA-Volatility Hybrid Filter Uses Double EMA with ATR expansion/compression logic to form a dynamic trend baseline. Directional Shift Entries Entries occur when the adjusted DEMA flips trend (bullish crossover or bearish crossunder vs its past value). Noise Reduction Mechanism ATR range caps extreme moves and prevents false flips during choppy volatility spikes. Multi-Level Take Profits Targets scale out positions at 1×, 2×, and 3× ATR multiples in the trade direction. Volatility-Adaptive Targets ATR multiplier ensures profit targets expand/contract based on market conditions. Single-Direction Exposure No pyramiding; the strategy flips position only when trend shifts. Automated Trade Finalization When all profit targets trigger, the position is fully closed. ⯁ STRATEGY LOGIC Trend Direction: DEMA baseline is modified using ATR upper/lower envelopes. • If the adjusted DEMA rises above previous value → Bullish • If it falls below previous value → Bearish Entry Rules: • Enter Long when bullish shift occurs and no long position exists • Enter Short when bearish shift occurs and no short position exists Take Profit Logic: 3 partial exits for each trade based on ATR: • TP1 = ±1× ATR • TP2 = ±2× ATR • TP3 = ±3× ATR Profit distribution: 30% / 30% / 40% Exit Conditions: • Exit when all TPs hit (full scale-out if sum of all TPs 100%) • Opposite trend signal closes current trade and opens new one ⯁ WHEN TO USE Trending environments Medium–high volatility phases Swing trading and intraday trend plays Markets that respect momentum continuation (crypto, indices, FX majors) ⯁ CONCLUSION This strategy blends DEMA trend recognition with ATR-based volatility adaptation to generate cleaner directional entries and structured take-profit exits. It is designed to capture momentum phases while avoiding noise-driven false signals, delivering a disciplined and scalable trend-following approach.
Pine Script® stratejisi
ChartPrime tarafından
5
Macro Return ForecastWhen the macro environment was similar, what annualized return did the market usually deliver next? Before using the indicator, make sure your chart is set to any US-market symbol (SPX, QQQ, DIA, etc.). This requirement is simple: the indicator pulls macro series from US data (yields, TIPS, credit spreads, breadth of US indices). Because these series are independent from the chart’s price series, the chart symbol itself does not affect the internal calculations. Any US symbol works, and the output of the model will be identical as long as you are on a US asset with daily, weekly or monthly timeframe. The plotted price does not matter: the macro engine is fully exogenous to the chart symbol. 1. What the indicator does relative to selected assets In the settings you choose which market you want to analyze: - S&P500 - Nasdaq or NQ100 - Dow Jones - Russell 2000 - US-wide (VTI) - S&P500 sectors (XLF, XLY, XLP, etc.) For each one, the indicator loads: - Its internal breadth series (percentage of constituents above MA200) - Its price history to compute forward log-returns at multiple horizons - Its regime position relative to its own MA200 (for bull/bear filtering) This means the tool is not tied to the chart symbol you display. If your chart is SPX but the indicator setting is “S&P500 Technology”, the expected return projection is computed for the Technology sector using its own data, not the chart’s data. You can therefore: - Visualize macro-driven expected returns for any major US index or sector. - Compare how different parts of the market historically reacted to similar macro states. - Switch assets instantly to see which segment historically behaved better in comparable macro conditions. The indicator becomes an analyzer of macro sensitivity, not a chart-dependent indicator. 2. Method overview The model answers a statistical question: “When macro conditions looked like they do today, what forward annualized return did this asset usually deliver?” To do this it combines four macro pillars: - Market breadth of the selected asset - Yield curve slope (US 10Y minus 2Y) - US credit spread (high yield minus gov) - US real rate (TIPS 10Y) It normalizes each metric into a 0–100 score, groups similar historical states into bins, and examines what the asset did next across six horizons (from ~9 months to ~5 years). This produces a historical map connecting macro states to realized forward returns. It is not a forecast model. It is a conditional-distribution estimator: it tells you what has historically happened from similar setups. 3. Why this produces useful insights on assets For any chosen asset (SPX, Nasdaq, sectors…), the indicator computes: - Its forward return distribution in similar macro states. - How often these states occurred (n). - Whether the macro environment that preceded positive returns in the past resembles today’s. - Whether the asset tends to be more sensitive or more resilient than the broad index under given macro configurations. - Whether a given sector historically benefited from specific yield-curve, credit or real-rate environments. This lets you answer questions such as: - Does this sector usually outperform in an inverted yield curve environment? - Does the Nasdaq historically recover strongly after breadth collapses? - How did the S&P500 behave historically when real rates were this high? - Is today’s credit-spread environment typically associated with positive or negative forward returns for this index? These insights are not predictions but statistical context backed by past market behavior. 4. Why the technique is robust (and why it matters) The engine uses strict, non-optimistic data processing: - Winsorization of returns to neutralize extreme outliers without deleting information. - Shrinkage estimators to avoid overfitting when bins contain few occurrences. - Adaptive or static bounds for scaling macro indicators, ensuring comparability across cycles. - Inverse-variance weighting of horizons with penalties for horizon redundancy. - HAC-style adjustments to reduce autocorrelation bias in return estimation. Each method aims to prevent artificial inflation of expected-return values and to keep the estimator stable even in unusual macro states. This produces a result that is not “optimistic”, not curve-fit, not dependent on chart tricks, and not sensitive to isolated historical anomalies. 5. What you get as a user A single clean line: Expected Annual Return (%) This line reflects how the chosen asset historically performed after macro environments similar to today’s. The color gradient and confidence indicator (n) show the density of comparable episodes in history. This makes the output extremely simple to read: - High, stable expectation: historically supportive macro environment. - Low or negative expectation: historically weaker environments. - Low confidence: the macro state is rare and historical comparisons are limited. The tool therefore adds context, not signals. It helps you understand the environment the asset is currently in, based on how markets behaved in similar conditions across US market history.
Pine Script® göstergesi
Julien_Eche tarafından
Z-Score IndicatorThis script calculates the Z-Score to measure how many standard deviations the current price is from its mean (SMA). It is a classic tool for identifying statistical extremes and mean reversion opportunities. Formula Z = (Close - Mean) / Standard Deviation Visual Guide Blue Line: The Z-Score value. Red Dotted Lines (+/- 2): Statistical extremes. > 2: Potentially Overbought. < -2: Potentially Oversold. Grey Dotted Line (0): The mean (fair value). Settings Lookback Period: Default is 30. Adjust to change sensitivity.
Pine Script® göstergesi
WhenGeniusPrevailed tarafından