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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
مؤشر Pine Script®
من ‎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.
مؤشر Pine Script®
من ‎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.
مؤشر Pine Script®
من ‎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.
مؤشر Pine Script®
من ‎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.
مؤشر Pine Script®
من ‎turtlekim‎
Sessions & Key LevelsAn indicator made to show: - Session Open & Close Breaks - Session Ranges/Outline (Lower transparency % in settings to show) Session times are editable in settings. - Session High's & Low's - H1 High's & Low's These are aligned with the Session Open & Close times. (Takes the H/L between the input times) Lines will fade once price touches & will be deleted once the current session ends. User can edit H1 pivot strength in settings. - Session Activity Dashboard Used to show which sessions are currently active. (Toggled off by default)
مؤشر Pine Script®
من ‎tkytrades‎
Erendev - Sessions for SweepsDescription: This indicator is designed for intraday traders who focus on liquidity sweeps and session-based market structure. It automatically draws session boxes for Asia, London, New York, and New York PM and highlights the highs and lows of each session. These levels act as important liquidity reference points. How it works: Session Boxes: Visualizes each trading session (Asia, London, New York, NY PM) with adjustable colors and transparency. Highs/Lows: At the close of each session, the indicator projects horizontal rays of the high/low until touched by price or until the day ends. Daily Separators: Optional background stripes or vertical lines mark new trading days, helping traders distinguish daily cycles. Day-of-Week Markers: Marks weekdays at the bottom of the chart to help align intraday patterns. Alerts: Alerts trigger when price interacts with session highs/lows, allowing traders to track liquidity sweeps in real time. Unique Concept: Unlike generic session indicators, this script integrates session-based liquidity sweeps directly into the workflow. It’s not only showing the sessions but also tracks untouched highs/lows as liquidity pools—a key ICT-inspired concept. By combining session timing, liquidity sweeps, and visual clarity, the tool provides a structured intraday map for traders. Usage: Works best on intraday timeframes (1m–60m). Above 2H, visuals are automatically disabled to keep charts clean. Traders can hide/show sessions individually and customize line styles, widths, and colors. Can be used across Forex, Futures, and Indices for scalping or day trading.
مؤشر Pine Script®
من ‎erendev‎
christophrobert MMA'sThe market moves in waves of momentum and trends, often leaving traders guessing where the true peaks and bottoms lie. The Multiple Moving Average Indicator is designed to cut through that noise. By layering multiple moving averages into a ribbon indicator, this tool makes it easy to spot shifts in momentum, highlight potential market tops and bottoms, and visualize the strength of a trend at a glance. Whether you’re looking for the best times to buy, sell, or simply confirm the strength of a move, this indicator provides a clear framework to guide your decisions.
مؤشر Pine Script®
من ‎AlgoNavigator‎
권재용 ai 시그널(단타, 스윙모드 버전)기존 보조지표들에 문제점이 많이 느낌. 한 보조지표에 한가지 밖에 적용못한다는 점과 선물용 시그널이 없다는점. 모든 보조지표를 뒤져봐도, 롱,숏,청산 까지 나오는 보조지표가 없어서, 답답해서 직접 알고리즘 구현함. 아직은 베타버전. 지속적 업데이트 예정(스윙모드 값 최적화 덜됨.) 1. 현재 비트코인과 이더리움 최적화되게 세팅값 자동 조정되게 구현함. 2. 시간봉에 따라 세팅값 자동으로 조정되게 많듦. 3. 여러 신뢰도 높은 보조지표들 알고리즘 통합하여 알고리즘 구현. 간단 알고리즘 1)추세 레짐 감지 ADX(평균 방향성 지수) + 200EMA 기울기(Slope) + ST 안정도(Trend Stability) + HTF 방향 일치 4개 요소 합산 → Trend Score 산출. 점수 기반으로 추세장 / 박스장 / 전이구간 분류, 상태 전환시 히스테리시스(Hysteresis) 적용해 딸깍거리 방지함. 즉, 한번 추세로 들어가면 일정 조건 만족해야만 박스로 전환됨 → Noise Filtering 핵심. 2)다층 청산 로직 Give-back Limit: MFE(최대유리구간) 대비 일정 비율 되돌리면 청산 → 익절 보호. ADX Weakness Counter: ADX가 약해지는 횟수 카운팅 → 모멘텀 사라질 때 청산. HTF Flip Exit: 상위TF 추세 뒤집힘 시 강제 청산. Structure Exit: 스윙 저점/고점 깨지면 구조 붕괴로 판단해 청산. Time Stop: 스윙에서 일정 시간 진전 없으면 자동 청산. 이 모든 걸 OR 조건으로 묶음 → Multi-factor Exit Engine. 3). Adaptive Parameter Scaling (적응형 파라미터 스케일링) 사용자가 정한 공격성(aggressiveness) 값 + 실시간 레짐 상태 합쳐서 트레일링 폭(k) 되돌림 한계(gb) ADX 문턱값 타임스톱 시간 다이나믹하게 바뀜. 결과: 시장이 고변동 추세장이면 청산 늦추고, 저변동 박스장이면 빨리 털고 나옴. 이게 Risk-Adjusted Exit Control 핵심. 4) State Machine Position Handling (포지션 상태 머신) 포지션 열림/닫힘/쿨다운 주기 관리. 진입 후 entryPrice, slPrice, mfe, noProgBars 등 상태변수 실시간 업데이트. 일종의 Finite State Machine(FSM) 구조라서 로직 충돌 없이 깔끔하게 동작함. 7. Hysteresis & Persistence Filters 추세/변동성 상태 바뀔 때 Persistence Counter로 연속성 요구함. 예: 한두 봉 노이즈로는 추세 안바뀜 → Signal Debouncing 기법. 간단 사용 루틴(단타) 1~15분봉 추천, 단타 + Auto + Auto + 공격성 50~60. 우상단 시장이 추세장·고변동이면 시그널↑. 박스장·저변동이면 진입 빈도↓. KJY-L/S 뜨면 진입, 회색선=진입가/빨간선=SL 확인. KJY-E 뜨면 미련 없이 정리. 알림 연동해두면 실전 편함. 간단 사용 루틴(스윙) 2H~4H, 스윙 + Auto + Auto + 공격성 45~55 + 스윙 최적화 ON. 구조 붕괴/타임스톱/HTF 뒤집힘 오면 자동으로 E 라벨로 정리. 레짐 감지: ADX 스무딩, 200EMA 기울기, ST 안정도, HTF 정합로 점수화 → 추세/박스 자동 분류. 변동성 적응: TR 비율로 고/저변동 인식 → 트레일 폭, 되돌림 한계, 타임스톱 스케일 조정. 스윙 가드: 1D 구조/기울기/정체시간 3중 안전장치. 공격성 슬라이더: 사용자 성향 한 방에 반영(트레일·되돌림·ADX 문턱 동시 스케일링). I felt a lot of limitations with existing indicators. Most indicators can only handle one thing at a time, and none of them provide signals specifically for futures trading. After digging through all indicators, I realized there wasn’t a single one that gave me long, short, and exit signals all in one — so I built my own algorithm out of frustration. This is still a beta version, with continuous updates planned. Automatically optimized for Bitcoin and Ethereum. Parameters auto-adjust based on timeframe. Combines multiple high-reliability indicators into one unified algorithm. 1) Trend Regime Detection Uses ADX (Average Directional Index) + 200EMA Slope + ST Stability (Trend Stability) + HTF Direction Alignment. Combines the four elements into a Trend Score. Classifies markets into Trending / Ranging / Transitional phases. Applies Hysteresis during regime switching to prevent rapid signal flipping. Once in a trend, it only switches to range mode after strict conditions are met → core Noise Filtering logic. 2) Multi-Layer Exit Logic Give-back Limit: Exits if price retraces beyond a set % of MFE (Maximum Favorable Excursion) → protects profits. ADX Weakness Counter: Counts consecutive ADX weakening periods → exits when momentum dies. HTF Flip Exit: Forces exit if higher-timeframe trend reverses. Structure Exit: Exits when swing high/low breaks = structural failure. Time Stop: Auto exit if no progress after a set number of bars in swing mode. All combined via OR conditions → Multi-factor Exit Engine. 3) Adaptive Parameter Scaling Combines user-defined aggressiveness + real-time regime state to dynamically adjust: Trailing stop width (k) Give-back limit (gb) ADX threshold Time-stop duration Result: In high-volatility trending markets, exits trail further; in low-volatility ranging markets, exits tighten quickly → key to Risk-Adjusted Exit Control. 4) State Machine Position Handling Manages open/close/cooldown cycles for positions. Updates variables like entryPrice, slPrice, mfe, noProgBars in real-time. Built as a Finite State Machine (FSM) → avoids logic conflicts, ensures clean execution. 5) Hysteresis & Persistence Filters Adds Persistence Counters for regime switching. Prevents a single noisy candle from flipping states → Signal Debouncing technique. Recommended: 1–15min charts, Settings: Scalp + Auto + Auto + Aggressiveness 50–60. Top-right panel: Trending + High-Volatility → More Signals, Ranging + Low-Volatility → Fewer Entries. When KJY-L/S appears → enter trade. Gray line = entry price, red line = SL. When KJY-E appears → exit with no hesitation. Alerts make it seamless in real trading. Recommended: 2H–4H charts, Settings: Swing + Auto + Auto + Aggressiveness 45–55 + Swing Optimization ON. Structural breaks / Time-stop / HTF trend reversals → auto exit with E label. Regime Detection: ADX smoothing + 200EMA slope + ST stability + HTF alignment → auto classifies Trend vs Range. Volatility Adaptation: TR ratio detects high/low volatility → adjusts trail, give-back, and time-stop levels. Swing Guard: 1D structure, slope, and time-stop → triple safety filter. Aggressiveness Slider: Instantly applies user preference to trail width, give-back, ADX thresholds
مؤشر Pine Script®
من ‎ubermensch0‎
Radial Basis Kernel RSI [Custom]What is the Radial Basis Kernel RSI? This indicator is a sophisticated and adaptive version of the classic Relative Strength Index (RSI). Unlike a standard RSI, which uses a simple moving average to calculate momentum, this indicator employs a powerful statistical method called a Radial Basis Function (RBF) kernel. This kernel makes the indicator's momentum line more dynamic and responsive to changing market conditions. It works by giving more weight to recent price changes that are similar to the current price action, resulting in a more intelligent and adaptive signal. The final line you see is a Double Exponential Moving Average (DEMA) of the RBF Kernel RSI, which provides extra smoothing to filter out noise and reduce false signals. How to Interpret and Use the Indicator The core purpose of this indicator is to identify potential shifts in momentum and spot overbought or oversold conditions that could precede a reversal. Buy Signal: Look for the indicator line to cross above the oversold level (default 20), which may also be marked by a green up-arrow. This suggests that the downward momentum is fading and a potential upward reversal or bounce is about to occur. Sell Signal: Look for the indicator line to cross below the overbought level (default 80), which may also be marked by a red down-arrow. This indicates that the upward momentum is overextended and a potential reversal or pullback could be coming. How Adjustments Impact the Indicator's Visual Output Think of the settings as controls that fine-tune the indicator's behavior. By adjusting them, you can make the indicator more or less sensitive to price changes. 1. RSI Kernel Length This setting controls the time frame the indicator looks at. Decrease the length: The line becomes more sensitive and "nervous." It will have more frequent, sharper swings and will enter the Overbought and Oversold zones more often. This provides more signals but can also lead to more false readings. Increase the length: The line becomes smoother and less reactive. It will take longer to change direction and will enter the extreme zones less frequently. This provides fewer signals, but they are generally considered more reliable and are better suited for identifying longer-term trends. 2. Gamma Adjustment Factor This is the unique "focus" control of the RBF kernel. Decrease the gamma factor: The line becomes smoother and more dampened. The kernel's influence is spread out, making it less reactive to sudden but minor price changes. Increase the gamma factor: The line becomes more focused and "spiky." The kernel gives a lot more weight to the most recent, similar-looking price action, which can make the line react very quickly. This can be useful for spotting quick changes but may also introduce more noise. 3. Overbought/Oversold Levels These are the trigger lines for your signals. Increase the Overbought level (e.g., from 80 to 90) or decrease the Oversold level (e.g., from 20 to 10): The indicator line will have to make a more extreme move to trigger a signal. You will get fewer signals, but the ones you do get will represent more significant and powerful moves. Decrease the Overbought level or increase the Oversold level: The line will trigger signals more easily and frequently. This can be useful in ranging markets but may lead to more false signals in strong, trending markets. 4. Moving Average Period (for DEMA) This setting controls the final smoothing of the line. Decrease the period: The final line will be more reactive and look "choppier." It will follow the underlying RBF RSI more closely, providing signals with less lag. Increase the period: The final line will be significantly smoother. It will be much slower to react to price changes, which reduces noise but can also delay your entry or exit signals.
مؤشر Pine Script®
من ‎Cmo22‎
Hammer Candle Finder [MQSXN]This script automatically scans your chart for hammer candlestick patterns and highlights them with fully customizable labels and markers. Hammers are classic price action signals that can suggest potential reversals or exhaustion in the current trend. How it works: - Detects candles with a small body near the top of the range, a long lower wick, and minimal upper wick. - Separates bullish hammers (green close above open) from bearish hammers (red close below open). - You can choose to display either type—or both—depending on your trading style. Customizable options: - Adjustable detection sensitivity (body % of range, wick-to-body ratio, top wick allowance). - Toggle to show/hide bullish or bearish signals. - Custom text, colors, label style, and positioning for the markers. - Option to anchor labels above bars automatically or offset them by a set number of ticks. Usage: This tool is designed for traders who want a clear, visual way to spot hammer candles in real time or during historical chart analysis. Combine it with your own support/resistance zones, volume analysis, or confirmation indicators to build complete strategies. Note: This indicator does not provide buy/sell signals on its own—it’s meant to assist with candlestick recognition. Always confirm with your broader trading plan and risk management rules.
مؤشر Pine Script®
من ‎mqsxn‎
Inefficient Candle TrackerThe Inefficient Candle Tracker indicator highlights large, inefficient price moves and plots their midpoints as Squared Up Points. Detects large candles using Percentile or ATR multiple methods Draws dynamic dashed lines at candle midpoints until price “squares them up” Built-in alerts for new SUP creation and when levels are touched Great for spotting unfinished business in price action, confluence with support/resistance, and potential return levels.
مؤشر Pine Script®
من ‎ianhay78‎
Daily High/Low (15m) + EMA Pre-Market H/L + ORBStraightforward: I built a swing-trading indicator with ChatGPT that plots 15-minute highs and lows, draws pre-market high/low lines, and adds a 15-minute opening-range breakout feature. Technical: Using ChatGPT, I developed a swing-trade indicator that calculates 15-minute highs/lows, overlays pre-market high and low levels, and includes a 15-minute Opening Range Breakout (ORB) module. Promotional: I created a ChatGPT-powered swing-trading indicator that maps 15-minute highs/lows, marks pre-market levels, and features a 15-minute Opening Range Breakout for clearer entries.
مؤشر Pine Script®
من ‎sheazadjiwani‎