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חפש סקריפטים עבור "Cycle"

Adaptive Square Levels (Prev + Curr Month, Configurable) The Adaptive Square Levels (Configurable Edition) indicator dynamically plots price levels based on perfect squares — a concept derived from harmonic market behavior and geometric scaling. Each month, the script automatically detects the new monthly open and generates square levels both above and below the opening price. This version introduces full configurability, allowing traders to adjust how many square levels they want to visualize on either side of the base level. The indicator also visually separates previous and current month levels for easy reference. ⚙️ Features 🔢 User-Configurable Range: Choose how many levels to plot above and below the base level. 🧮 Mathematically Derived Levels: Based on perfect squares up to a user-defined max price. 📅 Monthly Auto-Reset: Automatically refreshes at the start of each new month. 🎨 Color-Coded Levels: Orange → Major levels (square roots divisible by 3) Yellow → Regular levels Star (★) → Base level (nearest to monthly open) 🕰️ Dual Month Display: Shows both current and previous month levels for trend comparison. 💡 How to Use Add the indicator to any symbol and timeframe (preferably daily or higher). Adjust: Max Price Level → The upper bound of your price universe. Number of Levels Each Side → Controls the density of levels. Observe how price reacts around these mathematically significant zones. Use in confluence with your own price action, volume, or support/resistance analysis. 📊 Ideal For Swing traders analyzing monthly trend reversals Price structure and geometry enthusiasts Traders exploring market harmonics or square-of-nine–based frameworks 🧠 Note The script doesn’t provide buy/sell signals — it offers a structural map of key levels derived from square relationships. Use it as a visual guide to align entries and exits with natural market geometry.
אינדיקטור Pine Script®
מאת ‎civiljeeva‎
1
Candle Color [AY¹]Visually highlight specific time periods with custom colors on intraday charts. Ideal for session-based traders who want to emphasize New York, London or any custom trading hours. Developed by AY¹ Candle Color Highlighter A simple yet powerful intraday visualization tool that colors candles or chart background during your chosen trading sessions. Perfect for traders who rely on time-based confluences — such as ICT, SMC, or session scalping frameworks. 🔧 Key Features ✅ Highlight up to four custom time periods (e.g. London Open, NY Open, Lunch Hour, etc.) ✅ Supports multiple highlight styles:  • Bar Color only  • Background only  • Both ✅ Full timezone control (Exchange, UTC, New York, London, Tokyo, or custom UTC+3) ✅ Works on all intraday timeframes or only those you select (1m–4h). ✅ Optional labels marking session starts. ✅ Integrated alerts when any period becomes active. ✅ Informative status table showing timezone, timeframe, and active period. 🕒 Use Cases Highlight New York Killzone (07:30–09:30) or London Open (02:00–03:00) Separate different liquidity windows Emphasize your backtest periods Combine with volume, displacement, or structure indicators for time-based confluence setups 🎨 Customization Each of the four configurable periods allows you to choose: Start/End time Custom color and transparency Session label visibility Highlight style preference 💡 Example Setup Period Session Time Color Notes Period 1 02:00–03:00 Magenta London Killzone Period 2 07:30–08:30 Yellow NY Pre-market Period 3 08:30–09:30 Blue NY Open Period 4 09:30–10:00 Green Initial Balance
אינדיקטור Pine Script®
מאת ‎MATISAY‎
Manipolazione Luca C H1Osservando le candele h1 neglio orari ( di apertura sessione london e ny) possiamo cogliere molto piu' facilmente le manipolazioni per poter aprire le operazioni o scendere di time frame aspettando un altri trigger di entrata. By observing the h1 candles during the opening hours (London and New York session) we can much more easily detect manipulations in order to open trades or move down the time frame waiting for other entry triggers.
אינדיקטור Pine Script®
מאת ‎CONIGL01‎
Hour/Day/Month Optimizer [CHE] Hour/Day/Month Optimizer — Bucketed seasonality ranking for hours, weekdays, and months with additive or compounded returns, win rate, simple Sharpe proxy, and trade counts Summary This indicator profiles time-of-day, day-of-week, and month-of-year behavior by assigning every bar to a bucket and accumulating its return into that bucket. It reports per-bucket score (additive or compounded), win rate, a dispersion-aware return proxy, and trade counts, then ranks buckets and highlights the current one if it is best or worst. A compact on-chart table shows the top buckets or the full ranking; a last-bar label summarizes best and worst. Optional hour filtering and UTC shifting let you align buckets with your trading session rather than exchange time. Motivation: Why this design? Traders often see repetitive timing effects but struggle to separate genuine seasonality from noise. Static averages are easily distorted by sample size, compounding, or volatility spikes. The core idea here is simple, explicit bucket aggregation with user-controlled accumulation (sum or compound) and transparent quality metrics (win rate, a dispersion-aware proxy, and counts). The result is a practical, legible seasonality surface that can be used for scheduling and filtering rather than prediction. What’s different vs. standard approaches? Reference baseline: Simple heatmaps or average-return tables that ignore compounding, dispersion, or sample size. Architecture differences: Dual aggregation modes: additive sum of bar returns or compounded factor. Per-bucket win rate and trade count to expose sample support. A simple dispersion-aware return proxy to penalize unstable averages. UTC offset and optional custom hour window. Deterministic, closed-bar rendering via a lightweight on-chart table. Practical effect: You see not only which buckets look strong but also whether the observation is supported by enough bars and whether stability is acceptable. The background tint and last-bar label give immediate context for the current bucket. How it works (technical) Each bar is assigned to a bucket based on the selected dimension (hour one to twenty-four, weekday one to seven, or month one to twelve) after applying the UTC shift. An optional hour filter can exclude bars outside a chosen window. For each bucket the script accumulates either the sum of simple returns or the compounded product of bar factors. It also counts bars and wins, where a win is any bar with a non-negative return. From these, it derives: Score: additive total or compounded total minus the neutral baseline. Win rate: wins as a percentage of bars in the bucket. Dispersion-aware proxy (“Sharpe” column): a crude ratio that rises when average return improves and falls when variability increases. Buckets are sorted by a user-selected key (score, win rate, dispersion proxy, or trade count). The current bar’s bucket is tinted if it matches the global best or worst. At the last bar, a table is drawn with headers, an optional info row, and either the top three or all rows, using zebra backgrounds and color-coding (lime for best, red for worst). Rendering is last-bar only; no higher-timeframe data is requested, and no future data is referenced. Parameter Guide UTC Offset (hours) — Shifts bucket assignment relative to exchange time. Default: zero. Tip: Align to your local or desk session. Use Custom Hours — Enables a local session window. Default: off. Trade-off: Reduces noise outside your active hours but lowers sample size. Start / End — Inclusive hour window one to twenty-four. Defaults: eight to seventeen. Tip: Widen if rankings look unstable. Aggregation — “Additive” sums bar returns; “Multiplicative” compounds them. Default: Additive. Tip: Use compounded for long-horizon bias checks. Dimension — Bucket by Hour, Day, or Month. Default: Hour. Tip: Start Hour for intraday planning; switch to Day or Month for scheduling. Show — “Top Three” or “All”. Default: Top Three. Trade-off: Clarity vs. completeness. Sort By — Score, Win Rate, Sharpe, or Trades. Default: Score. Tip: Use Trades to surface stable buckets; use Win Rate for skew awareness. X / Y — Table anchor. Defaults: right / top. Tip: Move away from price clusters. Text — Table text size. Default: normal. Light Mode — Light palette for bright charts. Default: off. Show Parameters Row — Info header with dimension and span. Default: on. Highlight Current Bucket if Best/Worst — Background tint when current bucket matches extremes. Default: on. Best/Worst Barcolor — Tint colors. Defaults: lime / red. Mark Best/Worst on Last Bar — Summary label on the last bar. Default: on. Reading & Interpretation Score column: Higher suggests stronger cumulative behavior for the chosen aggregation. Compounded mode emphasizes persistence; additive mode treats all bars equally. Win Rate: Stability signal; very high with very low trades is unreliable. “Sharpe” column: A quick stability proxy; use it to down-rank buckets that look good on score but fluctuate heavily. Trades: Sample size. Prefer buckets with adequate counts for your timeframe and asset. Tinting: If the current bucket is globally best, expect a lime background; if worst, red. This is context, not a trade signal. Practical Workflows & Combinations Trend following: Use Hour or Day to avoid initiating trades during historically weak buckets; require structure confirmation such as higher highs and higher lows, plus a momentum or volatility filter. Mean reversion: Prefer buckets with moderate scores but acceptable win rate and dispersion proxy; combine with deviation bands or volume normalization. Exits/Stops: Tighten exits during historically weak buckets; relax slightly during strong ones, but keep absolute risk controls independent of the table. Multi-asset/Multi-TF: Start with Hour on liquid intraday assets; for swing, use Day. On monthly seasonality, require larger lookbacks to avoid overfitting. Behavior, Constraints & Performance Repaint/confirmation: Calculations use completed bars only; table and label are drawn on the last bar and can update intrabar until close. security()/HTF: None used; repaint risk limited to normal live-bar updates. Resources: Arrays per dimension, light loops for metric building and sorting, `max_bars_back` two thousand, and capped label/table counts. Known limits: Sensitive to sample size and regime shifts; ignores costs and slippage; bar-based wins can mislead on assets with frequent gaps; compounded mode can over-weight streaks. Sensible Defaults & Quick Tuning Start: Hour dimension, Additive, Top Three, Sort by Score, default session window off. Too many flips: Switch to Sort by Trades or raise sample by widening hours or timeframe. Too sluggish/over-smoothed: Switch to Additive (if on compounded) or shorten your chart timeframe while keeping the same dimension. Overfit risk: Prefer “All” view to verify that top buckets are not isolated with tiny counts; use Day or Month only with long histories. What this indicator is—and isn’t This is a seasonality and scheduling layer that ranks time buckets using transparent arithmetic and simple stability checks. It is not a predictive model, not a complete trading system, and it does not manage risk. Use it to plan when to engage, then rely on structure, confirmation, and independent risk management for entries and exits. 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
אינדיקטור Pine Script®
מאת ‎chervolino‎
Total Points Moved by exp3rtsThis lightweight utility tracks the total intraday range of price movement, giving you real-time insight into market activity. It calculates: 🟩 Bullish Points – Total range from bullish candles (close > open) 🟥 Bearish Points – Total range from bearish candles (close < open) 🔁 Total Points Moved (TPM) – Sum of all high–low ranges for the day Values are pulled from the 1-second chart for high precision and displayed in a compact tag in the top-right corner.
אינדיקטור Pine Script®
מאת ‎exp3rts‎
Enhanced Std Dev Oscillator (Z-Score)Enhanced Std Dev Oscillator (Z-Score) Overview The Enhanced Std Dev Oscillator (ESDO) is a refined Z-Score indicator that normalizes price deviations from a moving mean using standard deviation, smoothed for clarity and equipped with divergence detection. This oscillator shines in identifying extreme overbought/oversold conditions and potential reversals, making it ideal for mean-reversion strategies in stocks, forex, or crypto. By highlighting when prices stray too far from the norm, it helps traders avoid chasing trends and focus on high-probability pullbacks. Key Features Customisable Mean & Deviation: Choose SMA or EMA for the mean (default: SMA, length 14); opt for Population or Sample standard deviation for precise statistical accuracy. Smoothing for Clarity: Apply a simple moving average (default: 3) to the raw Z-Score, reducing noise without lagging signals excessively. Zone Highlighting: Background colours flag extreme zones—red tint above +2 (overbought), green below -2 (oversold)—for quick visual scans. Divergence Alerts: Automatically detects bullish (price lows lower, Z-Score higher) and bearish (price highs higher, Z-Score lower) divergences using pivot points (default length: 5), with labeled shapes for easy spotting. Built-in Alerts: Notifications for Z-Score crossovers into OB/OS zones and divergence events to keep you informed without constant monitoring. How It Works Core Calculation: Computes the mean (SMA/EMA) over the specified length, then standard deviation (Population or adjusted Sample formula for N>1). Z-Score = (Source - Mean) / Std Dev, handling edge cases like zero deviation. Smoothing: Averages the Z-Score with an SMA to create a cleaner plot oscillating around zero. Levels & Zones: Plots horizontal lines at ±1 (orange dotted) and ±2 (red dashed) for reference; backgrounds activate in extreme zones. Divergence Logic: Scans for pivot highs/lows in price and Z-Score; flags divergences when price extremes diverge from oscillator extremes (looking back 2 pivots for confirmation). Visualisation: Blue line for the smoothed Z-Score; green/red labels for bull/bear divergences. Usage Tips Buy Signal: Z-Score crosses below -2 (oversold) or bullish divergence forms—pair with volume spike for confirmation. Sell Signal: Z-Score crosses above +2 (overbought) or bearish divergence—watch for resistance alignment. Customisation: Use EMA mean for trendier assets; enable Sample std dev for smaller datasets. Increase pivot length (7-10) in volatile markets to filter false signals. Timeframes: Excels on daily/4H for swing trades; test smoothing on lower frames to avoid over-smoothing. Always combine with trend filters like a 200-period MA. This open-source script is licensed under Mozilla Public License 2.0. Backtest thoroughly—past performance isn't indicative of future results. Trade with discipline! 📈 © HighlanderOne
אינדיקטור Pine Script®
מאת ‎HighlanderOne‎
Advanced Directional Stoch RSIAdvanced Directional Stochastic RSI Overview The Advanced Directional Stochastic RSI (Adv Stoch RSI Dir) is a powerful oscillator that combines the classic Stochastic RSI with John Ehlers' SuperSmoother filter for ultra-smooth signals and reduced noise. Unlike traditional Stoch RSI, this indicator incorporates directional coloring based on price action relative to a smoothed trend line, helping traders quickly spot bullish or bearish momentum. It's designed for swing traders and scalpers looking for clearer overbought/oversold conditions in volatile markets. Key Features Directional Coloring: %K line turns green when price is above the trend MA (bullish) and red when below (bearish), providing instant visual bias. Multi-Pass SuperSmoothing: Apply Ehlers' SuperSmoother filter up to 5 times for customizable noise reduction—dial in passes (default: 2) to balance responsiveness and smoothness. Trend-Aware Baseline: Uses a cascaded smoothed moving average (default length: 20) to gauge overall direction, making the oscillator more context-aware. Classic Stoch RSI Core: Built on RSI (default: 14) and Stochastic (default: 14), with SMA smoothing for %K (3) and %D (3). Visual Aids: Includes overbought (80), oversold (20), and midline (50) levels, plus a subtle blue fill between OB/OS zones for easy reference. How It Works Source Smoothing: The input source (default: close) is passed through the SuperSmoother filter multiple times to create a trend MA. Stoch RSI Calculation: Computes RSI on the source, then applies Stochastic to the RSI values, followed by SMA smoothing for base %K and %D. Advanced Smoothing: Extra SuperSmoother layers are applied to %K and %D based on your chosen passes, minimizing whipsaws. Directional Logic: Compares current close to the trend MA to color %K dynamically. Plotting: %K (thick line, colored) and %D (thin orange) oscillate between 0-100, highlighting crossovers and divergences. Usage Tips Buy Signal: Green %K crosses above %D below 50, or bounces off oversold (20) in uptrends. Sell Signal: Red %K crosses below %D above 50, or rejects overbought (80) in downtrends. Customization: Increase smoothing passes (3-5) for choppy markets; reduce for faster signals. Pair with volume or support/resistance for confirmation. Timeframes: Best on 1H-4H charts for stocks/crypto; adjust lengths for forex. This open-source script is licensed under Mozilla Public License 2.0. Backtest thoroughly—past performance isn't indicative of future results. Enjoy trading smarter with less noise! 🚀 © HighlanderOne
אינדיקטור Pine Script®
מאת ‎HighlanderOne‎
Quarter Strength Table (3M) [CHE] Quarter Strength Table (3M) — quarterly seasonality overview for the current symbol Is there seasonality in certain assets? Some YouTubers claim there is—can you test it yourself? Summary This indicator builds a compact table that summarizes quarterly seasonality from three-month bars. It aggregates the simple return of each historical quarter, counts observations, computes the average return and the win rate for each quarter, and flags the historically strongest quarter. The output is a five-column table rendered on the chart, designed for quick comparison rather than signal generation. Because it processes only confirmed higher-timeframe bars, results are stable once a quarter has closed. Motivation: Why this design? Seasonality tools often mix intraperiod estimates with live bars, which can lead to misleading flips and inconsistent statistics. The core idea here is to restrict aggregation to completed three-month bars only and to deduplicate events by timestamp. This avoids partial information and double counting, so the table reflects a consistent, closed-bar history. What’s different vs. standard approaches? Baseline: Typical seasonality studies that compute monthly or quarterly stats directly on the chart timeframe or update on live higher-timeframe bars. Architecture differences: Uses explicit higher-timeframe requests for open, close, time, and calendar month from three-month bars. Confirms the higher-timeframe bar before recording a sample; deduplicates by the higher-timeframe timestamp. Keeps fixed arrays of length four for the four quarters; renders a fixed five-by-five table with zebra rows. Practical effect: Once a quarter closes, counts and averages are stable. The “Best” column marks the highest average quarter so you can quickly identify the historically strongest period. How it works (technical) On every chart bar, the script requests three-month open, close, time, and the calendar month derived from that bar’s time. When the three-month bar is confirmed, it computes the simple return for that bar and maps the month to a quarter index between zero and three. A guard stores the last seen three-month timestamp to avoid duplicate writes. Per quarter, it accumulates the sum of returns, the number of samples, and the number of positive samples. From these, it derives average return and win rate. The table header is created once on the first bar; content updates only on the last visible chart bar for efficiency. No forward references are used, and lookahead is disabled in all higher-timeframe requests to avoid peeking. Parameter Guide Percent — Formats values as percentages. Default: true. Trade-off: Easier visual comparison; disable if you prefer raw unit returns. Decimals — Number of digits shown. Default: two. Bounds: zero to six. Trade-off: More digits improve precision but reduce readability. Show table — Toggles table rendering. Default: true. Trade-off: Disable when space is limited or for batch testing. Reading & Interpretation The table shows rows for Q1 through Q4 and columns for Count, Avg Ret, P(win), and Best. Count: Number of completed three-month bars observed for that quarter. Avg Ret: Average simple return across all samples in that quarter. P(win): Share of samples with a positive return. Best: An asterisk marks the quarter with the highest average return among those with at least one sample. Use the combination of average and win rate to judge both magnitude and consistency. Low counts signal limited evidence. Practical Workflows & Combinations Trend following filter: Favor setups when the upcoming or active quarter historically shows a positive average and a stable win rate. Combine with structure analysis such as higher highs and higher lows to avoid fighting dominant trends. Exits and risk: When entering during a historically weak quarter, consider tighter risk controls and quicker profit taking. Multi-asset and multi-timeframe: The default settings work across most liquid symbols. For assets with sparse history, treat results as low confidence due to small sample sizes. Behavior, Constraints & Performance Repaint and confirmation: Aggregation occurs only when the three-month bar is confirmed; values do not change afterward for that bar. During an open quarter, no new sample is added. Higher-timeframe usage: All higher-timeframe requests disable lookahead and rely on confirmation to mitigate repaint. Resources: Declared `max_bars_back` is two thousand. Arrays are fixed at length four. The script updates the table only on the last visible bar to reduce work. Known limits: Averages can be affected by outliers and structural market changes. Limited history reduces reliability. Corporate actions and contract rolls may influence returns depending on the symbol’s data source. This is a visualization and not a trading system. Sensible Defaults & Quick Tuning Starting values: Percent true; Decimals two; Show table true. If numbers feel noisy: Decrease decimals to one to reduce visual clutter. If you need raw values: Turn off Percent to display unit returns. If the table overlaps price: Toggle Show table off when annotating, or reposition via your chart’s table controls. What this indicator is—and isn’t This is a historical summary of quarterly behavior. It visualizes evidence and helps frame expectations. It is not predictive, does not generate trade signals, and does not manage positions or risk. Always combine with market structure, liquidity considerations, and independent risk controls. Inputs with defaults Percent: true, boolean. Decimals: two, integer between zero and six. Show table: true, boolean. Pine version: v6 Overlay: true Primary outputs: Table with five columns and five rows. Metrics/functions used: Higher-timeframe data requests, table rendering, arrays, bar state checks, month mapping. Special techniques: Closed-bar aggregation, deduplication by higher-timeframe timestamp, zebra row styling. Performance/constraints: Two thousand bars back, small fixed loops, higher-timeframe requests without lookahead. Compatibility/assets/timeframes: Works on time-based charts across most assets with sufficient history. Limitations/risks: Sample size sensitivity, regime shifts, data differences across venues. Debug/diagnostics: (Unknown/Optional) 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
אינדיקטור Pine Script®
מאת ‎chervolino‎
Seasonal Pattern DecoderSeasonal Pattern Decoder The Seasonal Pattern Decoder is a powerful tool designed for traders and analysts who want to uncover and leverage seasonal tendencies in financial markets. Instead of cluttering your chart with complex visuals, this indicator presents a clean, intuitive table that summarizes historical monthly performance, allowing you to spot recurring patterns at a glance. How It Works The indicator fetches historical monthly data for any symbol and calculates the percentage return for each month over a specified number of years. It then organizes this data into a comprehensive table, providing a clear, year-by-year and month-by-month breakdown of performance. Key Features Historical Performance Table: Displays monthly returns for up to a user-defined number of years, making it easy to compare performance across different periods. Color-Coded Heatmap: Each cell is colored based on the performance of the month. Strong positive returns are shaded in green, while strong negative returns are shaded in red, allowing for immediate visual analysis of monthly strength or weakness. Annual Summary: A "Σ" column shows the total percentage return for each full calendar year. AVG Row: Calculates and displays the average return for each month across all the years shown in the table. WR Row: Shows the "Win Rate" for each month, which is the percentage of time that month had a positive return. This is crucial for identifying high-probability seasonal trends. How to Use Add the "Seasonal Pattern Decoder" indicator to your chart. Note that it works best on Daily, Weekly, or Monthly timeframes. A warning message will be displayed on intraday charts. In the indicator settings, adjust the "Lookback Period" to control how many years of historical data you want to analyze. Use the "Show Years Descending" option to sort the table from the most recent year to the oldest. The "Heat Range" setting allows you to adjust the sensitivity of the color-coding to fit the volatility of the asset you are analyzing. This tool is ideal for confirming trading biases, developing seasonal strategies, or simply gaining a deeper understanding of an asset's typical behavior throughout the year. ## Disclaimer This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
אינדיקטור Pine Script®
מאת ‎dchunt-stack‎