Inizia

Bande e canali

Kalman Supertrend (High vs Low) Bands by Skyito V2Inspired by BackQuant's Kalman Hull Supertrend, this upgraded version replaces the typical Kalman-close method with Kalman-filtered High and Low sources. This approach provides clearer trend visualization and helps confirm potential breakouts or reversals using clean, directional candle signals. The core logic revolves around BB (Band Buy) and SS (Band Sell) signals: BB appears only when a candle fully breaks above both Kalman High and Low bands. SS appears when a candle fully breaks below both bands. These clean triggers help avoid false signals and are excellent for capturing high-probability trend shifts. ✅ The Supertrend line is also included and can be toggled on or off — useful for those who prefer early trend detection or confirmation. 🆕 Why the SMA Band was Included To complement the Kalman band system, a Moving Average Band (default: SMA 200) is added: It helps detect the long-term trend direction. Candles are colored green when above the SMA band and red when below. This visual cue strengthens trend confidence and adds an extra layer for filtering trades. The MA band and coloring can be turned on or off based on preference. This tool is built for traders who want a clean trend-following and breakout confirmation system. It can be used as a standalone strategy or paired with price action, volume, or support/resistance tools.
Indicatore Pine Script®
di Skyito
Swing Anchored Vwap [BigBeluga]🔵 OVERVIEW Swing Anchored Vwap tracks the market’s directional behavior by anchoring VWAPs (Volume Weighted Average Price) to dynamically detected swing highs and lows. It visually distinguishes the active swing VWAP from historical ones—offering traders a clean view of trend-aligned value zones with clearly marked inflection points. 🔵 CONCEPTS Swing Anchored VWAPs: VWAPs are initiated from recent swing highs during downtrends and swing lows during uptrends. Trend Detection: The indicator identifies trend shifts based on the breaking of recent highest or lowest price value. Trend-Based Coloring:  • Green VWAPs: are drawn from swing lows in uptrends.  • Blue VWAPs: are drawn from swing highs in downtrends. Sensitivity Control: The Length input defines how far back the script looks to determine swing points—shorter lengths make it more reactive. 🔵 FEATURES Real-time VWAP projection from the current swing point, updated live. Historical VWAP traces with slightly faded color to emphasize the current active one. Swing markers automatically placed on highs/lows where VWAPs are anchored. Label with price value at the end of each active VWAP line for clarity. Adaptive color scheme that visually separates uptrend/downtrend zones. 🔵 HOW TO USE Use active VWAP as a dynamic support/resistance guide during ongoing trends. Observe breaks or rejections around these VWAPs for trend continuation or reversal clues . Compare current price position relative to swing VWAPs to assess trend maturity and extension . Combine with volume analysis or structure to increase conviction at swing points. 🔵 CONCLUSION Swing Anchored Vwap merges the logic of anchored VWAPs and swing structure into a responsive visual tool. It helps traders stay aligned with the current trend while offering historical context via previous value anchors—ideal for intraday to swing-level analysis.
Indicatore Pine Script®
di BigBeluga
43
Turtle Trading System IndicatorKey Features & Components Donchian Channels The core of the indicator is the Donchian Channel, represented by the upper and lower blue bands. Upper Channel: The highest price over a user-defined period. Lower Channel: The lowest price over the same period. Middle Line: The midpoint between the upper and lower channels. These channels are used to identify potential breakouts, which form the basis for trade entries. Trading Signals The script automatically generates clear, non-repainting signals for potential trades: Long Entry (Green ▲): A green upward-facing triangle appears below the candle when the closing price breaks above the upper Donchian channel, signaling the start of a potential uptrend. Short Entry (Red ▼): A red downward-facing triangle appears above the candle when the closing price breaks below the lower Donchian channel, signaling the start of a potential downtrend. Long Exit (Green X): A green cross appears above the candle when the price crosses below the middle line, suggesting the uptrend is weakening. Short Exit (Orange X): An orange cross appears below the candle when the price crosses above the middle line, suggesting the downtrend is losing momentum. Integrated Risk Management A crucial element of the Turtle strategy is disciplined risk management, which is built into this indicator. Volatility-Based Position Sizing You can enable position sizing that adapts to market volatility using the Average True Range (ATR). When an entry signal occurs, a label appears showing a calculated position size unit. The formula aims to normalize risk, meaning you would trade smaller sizes in volatile markets and larger sizes in calmer markets. The formula used is: Volatility Unit= 100 Risk % ​ × 4×ATR Close Price ​ Dynamic Stop Loss Upon a long or short entry, a stop-loss level is plotted on the chart as red circles. This level is calculated based on the ATR, automatically adjusting to the market's current volatility to provide a data-driven exit point for managing losses. It is calculated as: Long Stop: Close Price - 1.8 * ATR Short Stop: Close Price + 1.8 * ATR On-Chart Information Panel A convenient table is displayed in the bottom-right corner of the chart, showing the current ATR value and the calculated Position Size unit for quick and easy reference. Customizable Settings You can tailor the indicator to your specific strategy and risk tolerance: Donchian Channel Period: Sets the lookback period for the channels. The default is 20. Shorter periods will be more sensitive and generate more signals. ATR Period: Sets the lookback period for the Average True Range calculation, affecting both position size and stop-loss levels. The default is 14. Risk Percentage: The percentage of equity you wish to risk per trade. This directly influences the position size calculation. Use Volatility Position Sizing: A simple checkbox to turn the ATR-based position sizing on or off.
Indicatore Pine Script®
di edg777
Kalman Supertrend (High vs Low) Bands Inspired by BackQuant, this script modifies the original Kalman Hull Supertrend by replacing the close price with High and Low sources. This creates clearer trend definition and better trend tracking. This is one of the best trend indicators that can be used for trend trading or to capture reversals with high clarity. Key Features: Kalman High/Low Bands — Smooths market noise while separating bullish and bearish zones. BB & SS Alerts — Triggered only when the entire candle closes outside both bands, helping filter out false breakouts. Supertrend (optional) — Can be toggled on/off to monitor potential short-term or early trend shifts. Customizable Display — Show/hide bands, fills, and live candle coloring for chart clarity. Reversal Insight: For 4H and Daily charts, reversal signals appear to be quite accurate when the price retests the trend bands before continuing the move. How to Use: BB appears when a candle fully closes above both High/Low Kalman bands — possible bullish breakout. SS appears when a candle fully closes below both bands — possible bearish breakdown. Supertrend toggle can confirm shorter-term moves or early reversals. Credit to the original script BackQuant
Indicatore Pine Script®
di Skyito
1
Multi-Length Quad Bollinger BandsHere is a Pine Script code for TradingView that plots four separate Bollinger Bands on your chart. The lengths are preset to 14, 50, 100, and 200, but every aspect—including lengths, standard deviations, colors, and the source price—is fully customizable through the script's settings menu. The 14 and 50-period bands are enabled by default, while the 100 and 200-period bands are disabled to keep the chart clean initially. You can easily toggle any of them on or off.
Indicatore Pine Script®
di imnadim
BBMA OA - AI GPT-5This indicator is an AI-assisted implementation of the BBMA OA (Bollinger Bands + Moving Average) trading strategy, originally introduced by Malaysian trader Oma Ally. The code was generated and optimized using the GPT-5 AI model to ensure clean Pine Script v6 structure and compatibility. The system combines Bollinger Bands (20, 2) with EMA50, EMA200, and MA5/10 High-Low to identify the four main BBMA OA patterns: Extreme Market Hilang Volume (MHV) Candle Arah Kukuh (CSAK) Re-entry (RRE, REE, REM) Features: Multi Time Frame confirmation for higher accuracy Automatic signal detection with visual markers Trend ribbon and candle coloring Optimized Pine Script v6, free from errors/warnings ⚠ This is an adaptation of Oma Ally’s concept for educational purposes, not an official version. Past performance does not guarantee future results.
Indicatore Pine Script®
di aribanang
1
Custom Ichimoku Cloud with Signals📊 OVERVIEW This indicator generates trading signals based on Ichimoku Cloud breakouts and breakdowns. It identifies when price decisively moves through the cloud boundaries, filtering out false signals from consolidation periods. 📈 KEY FEATURES - Transition-based signals only when price breaks through cloud - Candle body must completely clear cloud (no touching) - Alternating signal system prevents consecutive duplicate signals - Built-in alerts for automated notifications - Standard Ichimoku components included ⚙️ HOW IT WORKS BUY SIGNAL: Triggered when candle body moves completely above cloud after being inside/below SELL SIGNAL: Triggered when candle body moves completely below cloud after being inside/above 🎯 USE CASES - Trend continuation trading - Breakout trading strategies - Cloud support/resistance analysis - Multi-timeframe analysis 📝 PARAMETERS - Adjustable Ichimoku periods (Conversion, Base, Lagging Span B) - Customizable lookback period for transition detection - Visual signal markers with alerts ⚠️ DISCLAIMER This indicator is for educational purposes. Past performance doesn't guarantee future results. Always use proper risk management and combine with other analysis methods. ⚠️ DISCLAIMER & RISK WARNING This indicator is provided for informational and educational purposes only and should not be considered as financial advice. TRADING RISKS: - Trading involves substantial risk of loss and is not suitable for all investors - Past performance is not indicative of future results - You can lose more than your initial investment - Never trade with money you cannot afford to lose NO GUARANTEES: - This indicator does not guarantee profits or predict market movements with certainty - Signals are based on mathematical calculations and may produce false signals - Market conditions can change, making any strategy ineffective - Success depends on multiple factors beyond this indicator USER RESPONSIBILITY: - You are solely responsible for your trading decisions - Always conduct your own research and analysis - Consider consulting with a qualified financial advisor - Use proper risk management and position sizing - Test thoroughly on demo accounts before live trading TECHNICAL LIMITATIONS: - Indicator may be subject to repainting in real-time conditions - Historical results do not represent actual trading - Signals are for analysis only, not automatic trade execution - Performance varies across different timeframes and instruments By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading outcomes. The author assumes no liability for any losses incurred. NOT FINANCIAL ADVICE - FOR EDUCATIONAL PURPOSES ONLY
Indicatore Pine Script®
di viprasol
COG-10 + Deviation BandsClassic Center of Gravity, COG «Center of Gravity» COG is a weighted moving average, in which new bars have more weight, and old ones have less. Formula (Pine equivalent): COG = – Σ (price × (i+1)) / Σ price • i = 0 – the most recent bar • i = length-1 – the oldest bar The minus sign simply flips the curve so that the extremes coincide with the price reversals. Bars: | 9 | 8| 7 | 6| 5| 4| 3 | 2 | 1 | 0 | Weight: |1 | 2 | 3 | 4| 5| 6| 7| 8 | 9| 10| Where COG is used Reversal zones – when the price moves far from the COG, it is considered «overbought/oversold»; return to COG – potential reversal. Dynamic support/resistance – in a sideways trend, the price often bounces off the COG. Trend filter – if COG grows → uptrend, falls → downtrend. Strategy pairs • COG + deviation bands (analogous to Bollinger) is given in lines • COG + RSI – confirmation of divergences • COG + volume (weighted by volume) is given in yellow lines Перевод для русской аудитории Classic Center of Gravity, COG «Центр тяжести» COG – это взвешенное скользящее среднее, в котором новые бары имеют больший вес, а старые – меньший. Формула (Pine-эквивалент): COG = – Σ (price × (i+1)) / Σ price • i = 0 – самый свежий бар • i = length-1 – самый старый бар Знак «минус» просто переворачивает кривую, чтобы экстремумы совпадали с разворотами цены. Бары: | 9 | 8| 7 | 6| 5| 4| 3 | 2 | 1 | 0 | Вес: |1 | 2 | 3 | 4| 5| 6| 7| 8 | 9| 10| Где применяют COG Разворотные зоны – когда цена отходит далеко от COG, считается «перекупленностью/перепроданностью»; возврат к COG – потенциальный разворот. Динамическая опора/сопротивление – в боковике цена часто отталкивается от COG. Фильтр тренда – если COG растёт → восходящий тренд, падает → нисходящий. Пары стратегий • COG + полосы отклонения (аналог Bollinger) приводится в линиях • COG + RSI – подтверждение дивергенций • COG + объём (взвешивать по volume) приводится в желтых линиях
Indicatore Pine Script®
di roadking1984
Standard Deviation BandsStandard Deviation Bands คำอธิบายอินดิเคเตอร์: อินดิเคเตอร์ SD Bands (Standard Deviation Bands) เป็นเครื่องมือวิเคราะห์ทางเทคนิคที่ออกแบบมาเพื่อวัดความผันผวนของราคาและระบุโอกาสในการเทรดที่อาจเกิดขึ้น อินดิเคเตอร์นี้จะแสดงผลเป็นเส้นขอบ 2 เส้นบนกราฟราคาโดยตรง โดยอ้างอิงจากค่าเฉลี่ยเคลื่อนที่ (Moving Average) และค่าส่วนเบี่ยงเบนมาตรฐาน (Standard Deviation) * เส้นบน (Upper Band): แสดงระดับที่ราคาเคลื่อนไหวสูงกว่าค่าเฉลี่ย * เส้นล่าง (Lower Band): แสดงระดับที่ราคาเคลื่อนไหวต่ำกว่าค่าเฉลี่ย ความกว้างของช่องระหว่างเส้นทั้งสองบ่งบอกถึงระดับความผันผวนของตลาดในปัจจุบัน วิธีการใช้งานอย่างละเอียด: คุณสามารถนำอินดิเคเตอร์ SD Bands ไปประยุกต์ใช้ได้หลายวิธีเพื่อประกอบการตัดสินใจ ดังนี้: 1. การใช้เป็นแนวรับ-แนวต้านแบบไดนามิก (Dynamic Support & Resistance) * แนวรับ: เมื่อราคาวิ่งลงมาแตะหรือเข้าใกล้เส้นล่าง (เส้นสีน้ำเงิน) เส้นนี้อาจทำหน้าที่เป็นแนวรับชั่วคราวและมีโอกาสที่ราคาจะเด้งกลับขึ้นไปหาเส้นกลาง * แนวต้าน: เมื่อราคาวิ่งขึ้นไปแตะหรือเข้าใกล้เส้นบน (เส้นสีแดง) เส้นนี้อาจทำหน้าที่เป็นแนวต้านชั่วคราวและมีโอกาสที่ราคาจะย่อตัวลงมา 2. การวัดความผันผวนและสัญญาณ Breakout * ช่วงตลาดสงบ (Low Volatility): เมื่อเส้น SD ทั้งสองเส้นบีบตัวเข้าหากันเป็นช่องที่แคบมาก (คล้ายกับ Bollinger Squeeze) แสดงว่าตลาดมีความผันผวนต่ำมาก ซึ่งมักจะเป็นสัญญาณว่ากำลังจะเกิดการเคลื่อนไหวครั้งใหญ่ (Breakout) * ช่วงตลาดเป็นเทรนด์ (High Volatility): เมื่อเส้น SD ขยายตัวกว้างออกอย่างรวดเร็ว พร้อมกับที่ราคาวิ่งอยู่นอกขอบ แสดงว่าตลาดเข้าสู่ช่วงเทรนด์ที่แข็งแกร่งและมีโมเมนตัมสูง 3. สัญญาณการกลับตัว (Reversal Signals) * เมื่อราคาปิดแท่งเทียน นอกเส้น SD Bands อย่างชัดเจน (โดยเฉพาะหลังจากที่เทรนด์นั้นดำเนินมานาน) อาจเป็นสัญญาณว่าแรงซื้อ/แรงขายเริ่มอ่อนกำลังลง และมีโอกาสที่จะเกิดการกลับตัวของราคาในไม่ช้า การตั้งค่าอินพุต (Input Parameters): * ระยะเวลา (Length): กำหนดจำนวนแท่งเทียนที่ใช้ในการคำนวณค่าเฉลี่ยและ SD * 20: สำหรับการวิเคราะห์ระยะสั้นถึงกลาง * 50 หรือ 100: สำหรับการวิเคราะห์ระยะยาว * ตัวคูณ (Multiplier): กำหนดระยะห่างของเส้น SD จากค่าเฉลี่ย * 1.0 - 2.0: เส้นจะอยู่ใกล้ราคามากขึ้น ทำให้เกิดสัญญาณบ่อยขึ้น * 2.0 - 3.0: เส้นจะอยู่ห่างจากราคามากขึ้น ทำให้เกิดสัญญาณที่น่าเชื่อถือมากขึ้น แต่จะเกิดไม่บ่อย ข้อควรระวังและคำเตือน: * อินดิเคเตอร์นี้เป็นเพียง เครื่องมือวิเคราะห์ เพื่อช่วยในการตัดสินใจ ไม่ใช่สัญญาณการซื้อขายที่ถูกต้อง 100% * ควรใช้ร่วมกับเครื่องมืออื่นๆ เช่น RSI, MACD, หรือ Volume เพื่อยืนยันสัญญาณ * การเทรดมีความเสี่ยงสูง ควรบริหารจัดการความเสี่ยงและตั้งจุด Stop Loss ทุกครั้ง คุณสามารถใช้โครงสร้างนี้ในการเขียนโพสต์บน TradingView ได้เลยนะครับ ขอให้ประสบความสำเร็จกับการโพสต์อินดิเคเตอร์ของคุณครับ! English Standard Deviation Bands Indicator Description: The SD Bands (Standard Deviation Bands) indicator is a powerful technical analysis tool designed to measure price volatility and identify potential trading opportunities. The indicator displays two dynamic bands directly on the price chart, based on a moving average and a customizable standard deviation multiplier. * Upper Band: Indicates price levels above the moving average. * Lower Band: Indicates price levels below the moving average. The width of the channel between these two bands provides a clear picture of current market volatility. Detailed User Guide: You can use SD Bands in several ways to enhance your trading decisions: 1. Dynamic Support and Resistance: These bands can act as dynamic support and resistance levels. * Support: When the price moves down and touches or approaches the lower band, it can act as support, offering the possibility of a rebound to the average. * Resistance: When the price moves up and touches or approaches the upper band, it can act as resistance, offering the possibility of a rebound. 2. Volatility Measurement and Breakout Signals: * Low Volatility (Squeeze): When the two bands converge and form a narrow channel. Indicates very low market volatility. This condition often occurs before significant price movements or breakouts. * High Volatility (Expansion): When the bands expand and widen rapidly, it indicates that the market is entering a period of strong trending momentum with high momentum. 3. Reversal Signals: * When the price closes significantly outside the SD Bands (especially after a long-term trend), it may signal that the current momentum has expired and a reversal may be imminent. Input Parameters: The indicator's parameters are fully customizable to suit your trading style: * Length: Defines the number of bars used to calculate the moving average and standard deviation. * 20: Suitable for short- to medium-term analysis. * 50 or 100: Suitable for long-term trend analysis. * Multiplier: Adjusts the sensitivity of the signal bars. * 1.0 - 2.0: Creates narrower signal bars, leading to more frequent signals. * 2.0 - 3.0: Creates wider signal bars, providing fewer but potentially more significant signals. Important Warning: * This indicator is an analytical tool only. It does not provide guaranteed buy or sell signals. * Always use it in conjunction with other indicators (such as RSI, MACD, and Volume) for confirmation. * Trading involves high risk. Proper risk management, including the use of stop-loss orders, is recommended. You can use this structure for your posts on TradingView. Good luck with your indicators!
Indicatore Pine Script®
di Mr-7TRILL
Universal Valuation[public code]Universal valuation indicator for all assets. Consists of 12 different indicators which are z-scored and averaged out. > Volatility bands via Keltner Channels with a NWMA > Confluence when price > vol.bands and valuation is high/low. The confluence is marked with red arrows when above the upper third band(green when below the lower on the downside), and 50% transparency when between 2/3 band(green when below the lower 2/3 bands on the downside.) > Can be used separately of course. > Can be used as valuation of indicators, when possible. (eg. Global Liquidity index valuation) Code is a mess a bit, but parts can be extracted and a new strategy/indicator can be made. *Big probs to the creator of this indicator . Inspired by him. I want to make it possible for people to extrapolate and create their own indicators/strategies. And of course, so I can do the same.
Indicatore Pine Script®
di boyanoff_B13
1
Bitcoin Logarithmic Growth Curve 2025 Z-Score"The Bitcoin logarithmic growth curve is a concept used to analyze Bitcoin's price movements over time. The idea is based on the observation that Bitcoin's price tends to grow exponentially, particularly during bull markets. It attempts to give a long-term perspective on the Bitcoin price movements. The curve includes an upper and lower band. These bands often represent zones where Bitcoin's price is overextended (upper band) or undervalued (lower band) relative to its historical growth trajectory. When the price touches or exceeds the upper band, it may indicate a speculative bubble, while prices near the lower band may suggest a buying opportunity. Unlike most Bitcoin growth curve indicators, this one includes a logarithmic growth curve optimized using the latest 2024 price data, making it, in our view, superior to previous models. Additionally, it features statistical confidence intervals derived from linear regression, compatible across all timeframes, and extrapolates the data far into the future. Finally, this model allows users the flexibility to manually adjust the function parameters to suit their preferences. The Bitcoin logarithmic growth curve has the following function: y = 10^(a * log10(x) - b) In the context of this formula, the y value represents the Bitcoin price, while the x value corresponds to the time, specifically indicated by the weekly bar number on the chart. How is it made (You can skip this section if you’re not a fan of math): To optimize the fit of this function and determine the optimal values of a and b, the previous weekly cycle peak values were analyzed. The corresponding x and y values were recorded as follows: 113, 18.55 240, 1004.42 451, 19128.27 655, 65502.47 The same process was applied to the bear market low values: 103, 2.48 267, 211.03 471, 3192.87 676, 16255.15 Next, these values were converted to their linear form by applying the base-10 logarithm. This transformation allows the function to be expressed in a linear state: y = a * x − b. This step is essential for enabling linear regression on these values. For the cycle peak (x,y) values: 2.053, 1.268 2.380, 3.002 2.654, 4.282 2.816, 4.816 And for the bear market low (x,y) values: 2.013, 0.394 2.427, 2.324 2.673, 3.504 2.830, 4.211 Next, linear regression was performed on both these datasets. (Numerous tools are available online for linear regression calculations, making manual computations unnecessary). Linear regression is a method used to find a straight line that best represents the relationship between two variables. It looks at how changes in one variable affect another and tries to predict values based on that relationship. The goal is to minimize the differences between the actual data points and the points predicted by the line. Essentially, it aims to optimize for the highest R-Square value. Below are the results: snapshot snapshot It is important to note that both the slope (a-value) and the y-intercept (b-value) have associated standard errors. These standard errors can be used to calculate confidence intervals by multiplying them by the t-values (two degrees of freedom) from the linear regression. These t-values can be found in a t-distribution table. For the top cycle confidence intervals, we used t10% (0.133), t25% (0.323), and t33% (0.414). For the bottom cycle confidence intervals, the t-values used were t10% (0.133), t25% (0.323), t33% (0.414), t50% (0.765), and t67% (1.063). The final bull cycle function is: y = 10^(4.058 ± 0.133 * log10(x) – 6.44 ± 0.324) The final bear cycle function is: y = 10^(4.684 ± 0.025 * log10(x) – -9.034 ± 0.063) The main Criticisms of growth curve models: The Bitcoin logarithmic growth curve model faces several general criticisms that we’d like to highlight briefly. The most significant, in our view, is its heavy reliance on past price data, which may not accurately forecast future trends. For instance, previous growth curve models from 2020 on TradingView were overly optimistic in predicting the last cycle’s peak. This is why we aimed to present our process for deriving the final functions in a transparent, step-by-step scientific manner, including statistical confidence intervals. It's important to note that the bull cycle function is less reliable than the bear cycle function, as the top band is significantly wider than the bottom band. Even so, we still believe that the Bitcoin logarithmic growth curve presented in this script is overly optimistic since it goes parly against the concept of diminishing returns which we discussed in this post: This is why we also propose alternative parameter settings that align more closely with the theory of diminishing returns." Now with Z-Score calculation for easy and constant valuation classification of Bitcoin according to this metric. Created for TRW
Indicatore Pine Script®
di Commandoum
Vegas Tunnel StrategyVegas Tunnel Strategy is a trend-following breakout system based on exponential moving averages (EMAs). It uses a "tunnel" formed by the 144 EMA and 169 EMA to identify the market's long-term trend direction. Entry signals are generated when a shorter-term EMA (12 EMA) breaks above or below this tunnel, confirming momentum alignment. Long Setup: Price and EMA12 are above the tunnel (EMA144 < EMA169); entry on pullback near the tunnel. Short Setup: Price and EMA12 are below the tunnel (EMA144 > EMA169); entry on rebound near the tunnel. Exit Rules: Fixed stop loss below/above the tunnel or based on ATR; take profit at 1.5–2× the risk. This strategy works best on 4H or daily charts and is suitable for trending assets like FX pairs, gold, oil, or indices.
Strategia Pine Script®
di xandrea710
[Stratégia] VWAP Mean Magnet v9 (Simple Alert)This strategy is specifically designed for a ranging (sideways-moving) Bitcoin market. A trade is only opened and signaled on the chart if all three of the following conditions are met simultaneously at the close of a candle: Zone Entry The price must cross into the signal zone: the red band for a Short (sell) position, or the green band for a Long (buy) position. RSI Confirmation The RSI indicator must also confirm the signal. For a Short, it must go above 65 (overbought condition). For a Long, it must fall below 25 (oversold condition). Volume Filter The volume on the entry candle cannot be excessively high. This safety filter is designed to prevent trades during risky, high-momentum breakouts.
Strategia Pine Script®
di GaborNemeth
Squeeze Momentum Regression Clouds [SciQua]╭──────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ☁️ Squeeze Momentum Regression Clouds ╰──────────────────────────────────────────────╯ 🔍 Overview The Squeeze Momentum Regression Clouds (SMRC) indicator is a powerful visual tool for identifying price compression , trend strength , and slope momentum using multiple layers of linear regression Clouds. Designed to extend the classic squeeze framework, this indicator captures the behavior of price through dynamic slope detection, percentile-based spread analytics, and an optional UI for trend inspection — across up to four customizable regression Clouds . ──────────────────────────────────────────────────────────── ╭────────────────╮ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ⚙️ Core Features ╰────────────────╯ Up to 4 Regression Clouds – Each Cloud is created from a top and bottom linear regression line over a configurable lookback window. Slope Detection Engine – Identifies whether each band is rising, falling, or flat based on slope-to-ATR thresholds. Spread Compression Heatmap – Highlights compressed zones using yellow intensity, derived from historical spread analysis. Composite Trend Scoring – Aggregates directional signals from each Cloud using your chosen weighting model. Color-Coded Candles – Optional candle coloring reflects the real-time composite score. UI Table – A toggleable info table shows slopes, compression levels, percentile ranks, and direction scores for each Cloud. Gradient Cloud Styling – Apply gradient coloring from Cloud 1 to Cloud 4 for visual slope intensity. Weight Aggregation Options – Use equal weighting, inverse-length weighting, or max pooling across Clouds to determine composite trend strength. ──────────────────────────────────────────────────────────── ╭──────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ 🧪 How to Use the Indicator ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ 1. Understand Trend Bias with Cloud Colors ╰──────────────────────────────────────────╯ Each Cloud changes color based on its current slope: Green indicates a rising trend. Red indicates a falling trend. Gray indicates a flat slope — often seen during chop or transitions. Cloud 1 typically reflects short-term structure, while Cloud 4 represents long-term directional bias. Watch for multi-Cloud alignment — when all Clouds are green or red, the trend is strong. Divergence among Clouds often signals a potential shift. ──────────────────────────────────────────────────────────── ╭───────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ 2. Use Compression Heat to Anticipate Breakouts ╰───────────────────────────────────────────────╯ The space between each Cloud’s top and bottom regression lines is measured, normalized, and analyzed over time. When this spread tightens relative to its history, the script highlights the band with a yellow compression glow . This visual cue helps identify squeeze zones before volatility expands. If you see compression paired with a changing slope color (e.g., gray to green), this may indicate an impending breakout. ──────────────────────────────────────────────────────────── ╭─────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ 3. Leverage the Optional Table UI ╰─────────────────────────────────╯ The indicator includes a dynamic, floating table that displays real-time metrics per Cloud. These include: Slope direction and value , with historical Min/Max reference. Top and Bottom percentile ranks , showing how price sits within the Cloud range. Current spread width , compared to its historical norms. Composite score , which blends trend, slope, and compression for that Cloud. You can customize the table’s position, theme, transparency, and whether to show a combined summary score in the header. ──────────────────────────────────────────────────────────── ╭─────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ 4. Analyze Candle Color for Composite Signals ╰─────────────────────────────────────────────╯ When enabled, the indicator colors candles based on a weighted composite score. This score factors in: The signed slope of each Cloud (up, down, or flat) The percentile pressure from the top and bottom bands The degree of spread compression Expect green candles in bullish trend phases, red candles during bearish regimes, and gray candles in mixed or low-conviction zones. Candle coloring provides a visual shorthand for market conditions , useful for intraday scanning or historical backtesting. ──────────────────────────────────────────────────────────── ╭────────────────────────╮ ‎ ‎ ‎ ‎ ‎‎ ‎‎‎ ‎ ‎ ‎ 🧰 Configuration Guidance ╰────────────────────────╯ To tailor the indicator to your strategy: Use Cloud lengths like 21, 34, 55, and 89 for a balanced multi-timeframe view. Adjust the slope threshold (default 0.05) to control how sensitive the trend coloring is. Set the spread floor (e.g., 0.15) to tune when compression is detected and visualized. Choose your weighting style : Inverse Length (favor faster bands), Equal, or Max Pooling (most aggressive). Set composite weights to emphasize trend slope, percentile bias, or compression—depending on your market edge. ──────────────────────────────────────────────────────────── ╭────────────────╮ ‎ ‎ ‎ ‎‎ ‎‎‎ ‎ ‎ ‎ ✅ Best Practices ╰────────────────╯ Use aligned Cloud colors across all bands to confirm trend conviction. Combine slope direction with compression glow for early breakout entry setups. In choppy markets, watch for Clouds 1 and 2 turning flat while Clouds 3 and 4 remain directional — a sign of potential trend exhaustion or consolidation. Keep the table enabled during backtesting to manually evaluate how each Cloud behaved during price turns and consolidations. ──────────────────────────────────────────────────────────── ╭───────────────────────╮ ‎ ‎ ‎ ‎‎ ‎ ‎ ‎‎ ‎‎ ‎ 📌 License & Usage Terms ╰───────────────────────╯ This script is provided under the Creative Commons Attribution-NonCommercial 4.0 International License . ✅ You are allowed to: Use this script for personal or educational purposes Study, learn, and adapt it for your own non-commercial strategies ❌ You are not allowed to: Resell or redistribute the script without permission Use it inside any paid product or service Republish without giving clear attribution to the original author For commercial licensing , private customization, or collaborations, please contact Joshua Danford directly.
Indicatore Pine Script®
di JoshuaDanford
1