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MuLegend's NQ 1m Break & Retest Sniper (clean)This indicator will mos def alert you when on NQ 1 minute time frame, to ENTER, AFTER retest: 1) if its' a bullish retest: enter on the candle HIGHER than the retest candle, with the stop loss, under the retest candle, and target is the next structure point. 2) If it's a bearish retest candle: enter on the candle LOWER than the retest candle, with the stop lost above the retest candle, and your target is the next structure point. MuLegend Follow me on IG @ atltime2shine
Индикатор Pine Script®
от Mulegendrules370
Justin's Bitcoin Power Law PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. Using the formula Price = A * (daysSinceGenesis)^B, it calculates fair, upper, and floor prices with constants A_fair = 1.16e-17, A_floor = 0.42e-17, and B = 5.82, starting from Bitcoin’s genesis (January 3, 2009). The script plots these prices, displays values in a table. Source: www.ccn.com
Индикатор Pine Script®
от hodljb
Fibonacci Sequence Circles [BigBeluga]🔵 Overview The Fibonacci Sequence Circles is a unique and visually intuitive indicator designed for the TradingView platform. It combines the principles of the Fibonacci sequence with geometric circles to help traders identify potential support and resistance levels, as well as price expansion zones. The indicator dynamically anchors to key price points, such as pivot highs, pivot lows, or timeframe changes (daily, weekly, monthly), and generates Fibonacci-based circles around these anchor points. ⚠️For proper indicators visualization use simple not logarithmic chart 🔵 Key Features Customizable Anchor Points : The indicator can be anchored to Pivot Highs , Pivot Lows , or timeframe changes ( Daily, Weekly, Monthly ), making it adaptable to various trading strategies. Fibonacci Sequence Logic : The circles are generated using the Fibonacci sequence, where the diameter of each circle is the sum of the diameters of the two preceding circles. first = start_val secon = start_val + int(start_val/2) three = first + secon four = secon + three five = three + four six = four + five seven = five + six eight = six + seven nine = seven + eight ten = eight + nine Adjustable Start Value : Traders can modify the starting value of the sequence to scale the circles larger or smaller, ensuring they fit the current price action. Color Customization : Each circle can be individually enabled or disabled, and its color can be customized for better visual clarity. Visual Labels : The diameter of each circle (in bars) is displayed next to the circle, providing additional context for analysis. 🔵 Usage Step 1: Set the Anchor Point - Choose the anchor type ( Pivot High, Pivot Low, Daily, Weekly, Monthly ) to define the center of the Fibonacci circles. Step 2: Adjust the Start Value - Modify the starting value of the Fibonacci sequence to scale the circles according to the price action. Step 3: Customize Circle Colors - Enable or disable specific circles and adjust their colors for better visualization. Step 4: Analyze Price Action - Use the circles to identify potential support/resistance levels, price expansion zones, or trend continuation areas. Step 5: Combine with Other Tools - Enhance your analysis by combining the indicator with other technical tools like trendlines, moving averages, or volume indicators. The Fibonacci Sequence Circles is a powerful and flexible tool for traders who rely on Fibonacci principles and geometric patterns. Its ability to anchor to key price points and dynamically scale based on market conditions makes it suitable for various trading styles and timeframes. Whether you're a day trader or a long-term investor, this indicator can help you visualize and anticipate price movements with greater precision.
Индикатор Pine Script®
от BigBeluga
2
CyberFlow [Probabilities] | FractalystWhat's the indicator's purpose and functionality? CyberFlow quantifies, per chosen higher-timeframe “Period 1/2/3”, what happens after price first taps the midpoint (Mid) of the previous period’s range. Specifically, it estimates P(High first | Mid tap) versus P(Low first | Mid tap): which side (previous High “PH” or previous Low “PL”) is typically reached first after that mid activation. It extends a previously shared OrderFlow concept that used market structure; here it conditions on higher‑timeframe previous‑period PH/PL with the Mid as the explicit trigger. Note: It's specifically designed to exports raw probabilistic series for algorithmic/system developers to integrate a probabilistic layer into strategies and to build/backtest ideas directly from those series. What is “Mid activation”? The Mid is the average of the previous period’s PH and PL. Activation occurs on the first bar in the current period whose high–low range includes the Mid. The first bar of a new period cannot activate Mid; activation can only start from the second bar of the period onward. What counts as “first hit” after activation? After a Mid activation, the script waits for a subsequent bar that touches either the previous High (PH) or previous Low (PL). The first side touched after the activation bar is recorded as that period’s first hit. Once decided, the other side is ignored for first‑hit statistics. Which periods does it use? You can select three custom reference timeframes (Period 1/2/3) in the UI (defaults: D/W/M). All logic—PH/PL/Mid, activation, first‑hit stats—runs independently per selected period. Do the display controls change the calculation? No. The “Show” selector only controls visuals: Period 1/2/3: show only that period’s plots/barcolors. OFF: shows all periods. Statistics and exported series are unaffected by this selector. What do the bar/line colors mean? Activation (first Mid tap): yellow bar. Delivered to previous High after activation: blue Delivered to previous Low after activation: red Plots stop showing PH/PL once delivery happens (for that side) within the period. What do the status symbols in the table mean? ■ Inactive — Mid not tapped this period. ▶ Activated — Mid tapped; awaiting delivery to PH or PL. ● Delivered — PH or PL was hit first after the Mid tap. How are probabilities computed? For each period, the script counts samples where the Mid was tapped and one side was hit first. It reports: P(High first | Mid tap) and P(Low first | Mid tap). Two‑sided p‑value vs 50% (H0: p = 0.5). These appear in the stats table with detailed tooltips. What is “Bias” in exports? Bias is a ternary signal derived from P(High first | Mid tap): Bias = 1 if > 0.5 Bias = -1 if < 0.5 Bias = 0 if exactly 0.5 or no sample Source can be per period or “Merged” (simple average of available period probabilities). Note: the UI uses a simple average; no weighted option is exposed. What is “Entry” in exports? Entry = 1 on bars where the selected period’s Mid activates (first tap), else 0. “Merged” emits 1 if any of the three periods activates on the bar. What is “Exit” in exports? Exit is the previous period’s Mid price (PH/PL average) for the selected period. “Merged” is the average of the three previous‑period Mid prices. How do I integrate this into strategies? How to use the indicator? CyberFlow is designed for algorithmic/system developers to add a probabilistic layer for entries and market‑regime detection. What CyberFlow exports - Bias (−1, 0, 1): from P(High first | Mid tap) vs 50% per your chosen source (Period 1/2/3 or Merged simple average). - Entry (0/1): 1 only on the bar where the selected period’s Mid first activates (the “mid tap” bar). - Exit (price): the previous period’s Mid price (average of previous High/Low) for the selected source. - These appear in the Data Window as series named Bias, Entry, and Exit. Connecting from your strategy (input.source) - Add inputs in your strategy so users can select CyberFlow’s outputs: - Bias source input: pick the indicator’s Bias. - Entry source input: pick the indicator’s Entry. - Exit source input: pick the indicator’s Exit. In TradingView’s UI, users link these inputs to CyberFlow’s plots via the source picker. Does this use request.security? No. CyberFlow reconstructs your selected higher timeframes (Period 1/2/3) directly on the chart without request.security(). It detects new period boundaries via timeframe.change(tf), rolls the last period’s extremes into Previous High/Low (PH/PL), computes their Mid, then waits for a “Mid activation” (a bar after the first bar of the period whose range crosses the Mid). From activation onward, it records which side (PH or PL) is reached first to build conditional probabilities per period. Because levels and events are derived locally from the live bar stream, there are no cross-timeframe fetch artifacts or repaint nuances from request.security(). The exported series (Bias −1/0/1, Entry 0/1, Exit price) are produced natively and can be wired into strategies via TradingView’s input.source() for robust, low-latency integration. What markets and assets does the indicator Extension work best on? CyberFlow is market- and timeframe‑agnostic: it computes conditional probabilities (which side of the prior range is reached first after a mid tap) directly from price, so it can be applied to crypto, FX, indices, equities, futures, and commodities across intraday to higher timeframes. In practice, robustness depends on liquidity and sample size: higher timeframes usually yield more stable estimates (fewer activations, lower noise), while lower timeframes give more activations but can be noisier (spreads/fees matter more). Because the study itself provides probabilities—not PnL—assess profitability in your context by integrating the exported series (Bias −1/0/1, Entry 0/1, Exit price) into your strategy via TradingView’s input.source(), then backtest with your fills, costs, and risk model to measure performance efficiency on your specific markets and settings. What makes this script unique? Custom higher-timeframes (beyond D/W/M) You can pick any three reference periods (Period 1/2/3), not just Daily/Weekly/Monthly. The script rebuilds these periods directly on the chart and analyzes each independently. True conditional probability (why it matters) It measures P(High first | Mid tap) vs P(Low first | Mid tap) — i.e., “after the previous period’s midpoint is first tapped, which side is typically reached first?” Conditioning on the mid‑tap event isolates the path that follows a specific trigger. Unconditioned counts (e.g., “how often PH/PL is hit”) mix pre‑ and post‑activation behavior and can be misleading. This conditional framing turns vague hit‑rates into decision‑grade odds tied to a clear setup. Statistical confidence in‑context (p‑value in tooltips) Tooltips show a Wilson 95% confidence interval and a two‑sided p‑value versus 50/50. This helps you judge whether an observed edge is likely signal or noise at your chosen periods. Exports built for algorithmic integration Three clean outputs in the Data Window for strategies: Bias (−1/0/1) from the conditional probability versus 50%. Entry (0/1) on the activation bar (first mid tap). Exit (price) as the previous period’s Mid. Hook these into your backtests via TradingView’s input.source(), then evaluate profitability with your own fills, costs, and risk model. This turns the probabilities into measurable performance you can optimize. Disclaimer This tool provides statistical estimates only and is not financial advice. Historical probabilities are not guarantees of future results. Always backtest with your own costs, fills, and risk model before using in live trading.
Индикатор Pine Script®
от Fractalyst
Volumetric Support and Resistance [BackQuant]Volumetric Support and Resistance What this is This Overlay locates price levels where both structure and participation have been meaningful. It combines classical swing points with a volume filter, then manages those levels on the chart as price evolves. Each level carries: • A reference price (support or resistance) • An estimate of the volume that traded around that price • A touch counter that updates when price retests it • A visual box whose thickness is scaled by volatility The result is a concise map of candidate support and resistance that is informed by both price location and how much trading occurred there. How levels are built Find structural pivots uses ta.pivothigh and ta.pivotlow with a user set sensitivity. Larger sensitivity looks for broader swings. Smaller sensitivity captures tighter turns. Require meaningful volume computes an average volume over a lookback period and forms a volume ratio for the current bar. A pivot only becomes a level when the ratio is at least the volume significance multiplier. Avoid clustering checks a minimum level distance (as a percent of price). If a candidate is too close to an existing level, it is skipped to keep the map readable. Attach a volume strength to the level estimates volume strength by averaging the volume of recent bars whose high to low range spans that price. Levels with unusually high strength are flagged as high volume. Store and draw levels are kept in an array with fields for price, type, volume, touches, creation bar, and a box handle. On the last bar, each level is drawn as a horizontal box centered at the price with a vertical thickness scaled by ATR. Borders are thicker when the level is marked high volume. Boxes can extend into the future. How levels evolve over time • Aging and pruning : levels are removed if they are too old relative to the lookback or if you exceed the maximum active levels. • Break detection : a level can be removed when price closes through it by more than a break threshold set as a fraction of ATR. Toggle with Remove Broken Levels. • Touches : when price approaches within the break threshold, the level’s touch counter increments. Visual encoding • Boxes : support boxes are green, resistance boxes are red. Box height uses an ATR based thickness so tolerance scales with volatility. Transparency is fixed in this version. Borders are thicker on high volume levels. • Volume annotation : show the estimated volume inside the box or as a label at the right. If a level has more than one touch, a suffix like “(2x)” is appended. • Extension : boxes can extend a fixed number of bars into the future and can be set to extend right. • High volume bar tint : bars with volume above average × multiplier are tinted green if up and red if down. Inputs at a glance Core Settings • Level Detection Sensitivity — pivot window for swing detection • Volume Significance Multiplier — minimum volume ratio to accept a pivot • Lookback Period — window for average volume and maintenance rules Level Management • Maximum Active Levels — cap on concurrently drawn levels • Minimum Level Distance (%) — required spacing between level prices Visual Settings • Remove Broken Levels — drop a level once price closes decisively through it • Show Volume Information on Levels — annotate volume and touches • Extend Levels to Right — carry boxes forward Enhanced Visual Settings • Show Volume Text Inside Box — text placement option • Volume Based Transparency and Volume Based Border Thickness — helper logic provided; current draw block fixes transparency and increases border width on high volume levels Colors • Separate colors for support, resistance, and their high volume variants How it can be used • Trade planning : use the most recent support and resistance as reference zones for entries, profit taking, or stop placement. ATR scaled thickness provides a practical buffer. • Context for patterns : combine with breakouts, pullbacks, or candle patterns. A breakout through a high volume resistance carries more informational weight than one through a thin level. • Prioritization : when multiple levels are nearby, prefer high volume or higher touch counts. • Regime adaptation : widen sensitivity and increase minimum distance in fast regimes to avoid clutter. Tighten them in calm regimes to capture more granularity. Why volume support and resistance is used in trading Support and resistance relate to willingness to transact at certain prices. Volume measures participation. When many contracts change hands near a price: • More market players hold inventory there, often creating responsive behavior on retests • Order flow can concentrate again to defend or to exit • Breaks can be cleaner as trapped inventory rebalances Conditioning level detection on above average activity focuses attention on prices that mattered to more participants. Alerts • New Support Level Created • New Resistance Level Created • Level Touch Alert • Level Break Alert Strengths • Dual filter of structure and participation, reducing trivial swing points • Self cleaning map that retires old or invalid levels • Volatility aware presentation using ATR based thickness • Touch counting for persistence assessment • Tunable inputs for instrument and timeframe Limitations and caveats • Volume strength is an approximation based on bars spanning the price, not true per price volume • Pivots confirm after the sensitivity window completes, so new levels appear with a delay • Narrow ranges can still cluster levels unless minimum distance is increased • Large gaps may jump past levels and immediately trigger break conditions Practical tuning guide • If the chart is crowded: increase sensitivity, increase minimum level distance, or reduce maximum active levels • If useful levels are missed: reduce volume multiplier or sensitivity • If you want stricter break removal: increase the ATR based break threshold in code • For instruments with session patterns: tailor the lookback period to a representative window Interpreting touches and breaks • First touch after creation is a validation test • Multiple shallow touches suggest absorption; a later break may then travel farther • Breaks on high current volume merit extra attention Multi timeframe usage Levels are computed on the active chart timeframe. A common workflow is to keep a higher timeframe instance for structure and a lower timeframe instance for execution. Align trades with higher timeframe levels where possible. Final Thoughts This indicator builds a lightweight, self updating map of support and resistance grounded in swings and participation. It is not a full market profile, but it captures much of the practical benefit with modest complexity. Treat levels as context and decision zones, not guarantees. Combine with your entry logic and risk controls.
Индикатор Pine Script®
от BackQuant
FBTBBT (Filtered Black Two Bar Break Through)📘 FBTBBT (Filtered Black Two Bar Break Through) Overview FBTBBT is a filtered breakout indicator based on the classical Two Bar Break Through (TBBT) concept. It generates Buy and Sell signals when price breaks above or below the previous bar’s high/low, but only displays the **first signal in a run** to avoid noise and duplicates. - Buy Signal → Break above previous high - Sell Signal → Break below previous low - Filtered → Only the first signal in a consecutive streak is shown --- Key Features 1. Filtered Signals • Avoids repeated identical signals. • Example: 3 consecutive bars breaking the previous low → only the first bar shows a Sell signal. 2. Confirmation Options • Real-Time Mode: signals appear intrabar as soon as the breakout happens. • Close Confirmation: signals appear only after bar close beyond previous high/low (reduces repainting). 3. Visual Aids • Green “Buy” labels below breakout bars. • Red “Sell” labels above breakout bars. • Optional lines for previous bar’s high/low levels. 4. Alerts • Alerts trigger only on the first filtered signal in each run. • Messages specify breakout above (Buy) or below (Sell). --- How to Use • Add FBTBBT to your TradingView chart. • Choose Real-Time or Close-Confirmed signals depending on your style. • Focus on the **first breakout signal**; ignore duplicates until the opposite side appears. • Combine with trend filters, volume, or higher timeframe context for stronger accuracy. --- 👉 In short: **FBTBBT = Clean, filtered breakout signals with no noise.** Perfect for traders who want **precise first-bar breakouts** while avoiding repeated alerts.
Индикатор Pine Script®
от turtlekim