Inizia

Media mobile ponderata con volume (VWMA)

Fibonacci Counter-Trend TradingOverview: The Fibonacci Counter-Trend Trading strategy is designed to capitalize on price reversals by utilizing Fibonacci levels calculated from the standard deviation of price movements. This strategy opens a sell order when the closing price crosses above a specified upper Fibonacci level and a buy order when the closing price crosses below a specified lower Fibonacci level. By leveraging the principles of Fibonacci retracement and volatility, this strategy aims to identify potential reversal points in the market. How It Works: Fibonacci Levels Calculation: The strategy calculates upper and lower Fibonacci levels based on the standard deviation of the price over a specified moving average length. These levels are derived from the Fibonacci sequence, which is widely used in technical analysis to identify potential support and resistance levels. The upper levels are calculated by adding specific Fibonacci ratios (0.236, 0.382, 0.5, 0.618, 0.764, and 1.0) multiplied by the standard deviation to the basis (the volume-weighted moving average). The lower levels are calculated by subtracting the same Fibonacci ratios multiplied by the standard deviation from the basis. Trade Entry Rules: Sell Order: A sell order is triggered when the closing price crosses above the selected upper Fibonacci level. This indicates a potential reversal point where the price may start to decline. Buy Order: A buy order is initiated when the closing price crosses below the selected lower Fibonacci level. This suggests a potential reversal point where the price may begin to rise. Trade Management: The strategy includes stop-losses based on the Fibonacci levels to protect against adverse price movements. How to Use: Users can customize the moving average length and the multiplier for the standard deviation to suit their trading preferences and market conditions. The strategy can be applied to various financial instruments, including stocks, forex, and cryptocurrencies, making it versatile for different trading environments. Pros: The Fibonacci Counter-Trend Trading strategy combines the mathematical principles of the Fibonacci sequence with the statistical measure of standard deviation, providing a unique approach to identifying potential market reversals. This strategy is particularly useful in volatile markets where price swings can lead to significant trading opportunities. The use of Fibonacci levels can help traders identify key support and resistance areas, enhancing decision-making. Cons: The strategy may generate false signals in choppy or sideways markets, leading to potential losses if the price does not reverse as anticipated. Relying solely on Fibonacci levels without considering other technical indicators or market conditions may result in missed opportunities or increased risk. The effectiveness of the strategy can vary depending on the chosen parameters (e.g., moving average length and standard deviation multiplier), requiring users to spend time optimizing these settings for different market conditions. As with any counter-trend strategy, there is a risk of significant drawdowns during strong trending markets, where the price continues to move in one direction without reversing. By understanding the mechanics of the Fibonacci Counter-Trend Trading strategy, along with its pros and cons, traders can effectively implement it in their trading routines and potentially enhance their trading performance.
Strategia Pine Script®
di dPEngineering
Rogue ORB PRORogue ORB Pro is a precision-engineered Opening Range Breakout (ORB) indicator built for active intraday traders who need real signals, not noise. This tool identifies high-probability breakout entries from the opening range, enhanced with optional ATR-based stop loss levels, deviation targets, cooldown filters, and a relative volume gate to filter weak setups. 🔍 Key Features: Opening Range High/Low: Drawn from a user-defined time window and locked for the day Deviations: Automatically plots target zones above and below the OR range (e.g. 1, 2 deviations) Buy/Sell Signals: Triggered on breakout of the OR High/Low with configurable breakout logic (touch or close) ATR Stop Loss Line: Dynamically drawn at a fixed ATR distance from breakout candle, with optional SL label Cooldown Period: Prevents back-to-back signals by enforcing a user-defined bar delay between entries Volume Filter: Optional relative volume filter that requires breakout candles to exceed a custom volume threshold VWAP Overlay: Visual VWAP for directional bias and confluence
Indicatore Pine Script®
di RogueLLC33
Sudden increase in volume [PINESCRIPTLABS]The indicator plots buying and selling histograms on the price chart, as well as graphical signals in the form of triangles to highlight buying and selling conditions. Buying conditions are based on a sudden increase in volume and oversold RSI, while selling conditions are based on a sudden increase in volume and overbought RSI. In summary, this strategy aims to identify moments when there is a significant surge in trading volume along with overbought or oversold conditions in the RSI. These moments are considered potential signals for buying or selling in the market. Sudden Volume Surge: It checks if the current volume is greater than a multiple of the exponential moving average of volume (EMA) calculated with a specific length (ema_length). This indicates a sudden surge in trading volume. RSI Overbought and Oversold Levels: Two RSI values, rsi_overbought and rsi_oversold, are used as references. If the RSI value is below the rsi_oversold level, it is considered to be in oversold territory, and if the RSI value is above the rsi_overbought level, it is considered to be in overbought territory. El indicador plotea histogramas de compra y venta en el gráfico de precios, así como señales gráficas en forma de triángulos para resaltar las condiciones de compra y venta. Las condiciones para la compra se basan en un aumento brusco de volumen y un RSI en sobreventa, mientras que las condiciones para la venta se basan en un aumento brusco de volumen y un RSI en sobrecompra. En resumen, esta estrategia busca identificar momentos en los que haya un aumento significativo en el volumen de operaciones junto con condiciones de sobrecompra o sobreventa en el RSI. Estos momentos se consideran señales potenciales de compra o venta en el mercado. Aumento brusco de volumen: Se verifica si el volumen actual es mayor que un múltiplo del promedio móvil exponencial del volumen (EMA) calculado con una longitud específica (ema_length). Esto indica un aumento repentino en el volumen de operaciones. Niveles de RSI en sobrecompra y sobreventa: Se utilizan dos valores de RSI como referencia, rsi_overbought y rsi_oversold. Si el valor del RSI está por debajo del nivel rsi_oversold, se considera que está en territorio de sobreventa, y si el valor del RSI está por encima del nivel rsi_overbought, se considera que está en territorio de sobrecompra.
Indicatore Pine Script®
di PINE_LABS
6
CPR BEAST with Previous Day High/Low, SMA, EMA, VWAP by MRS*Indicator Name: **CPR BEAST with EMAs, VWAP & Previous Day High/Low by Rajasekhar Muvvala** Description: This powerful indicator combines **Central Pivot Range (CPR)**, **Daily/Weekly/Monthly Pivot Points**, **Moving Averages (SMA, EMA, 200-Day EMA)**, **Volume Weighted Average Price (VWAP)**, and **Previous Day High/Low** into a single, easy-to-use tool for traders. It is designed to help traders identify key support and resistance levels, trends, and potential reversal zones across multiple timeframes. Key Features: 1. Central Pivot Range (CPR): - CPR is calculated based on daily pivot points and includes three lines: "Central Pivot (CP)", "Bottom Central Pivot (BC)", and "Top Central Pivot (TC)". - Enabled by default but can be toggled off from the settings. - Customizable colors for all three lines. 2. Daily Pivot Points: - Includes **Support (S1, S2, S3)** and **Resistance (R1, R2, R3)** levels. - Levels 1 and 2 (S1/R1, S2/R2) are enabled by default, while Level 3 (S3/R3) can be optionally displayed. - Resistance lines are red, and Support lines are green by default (colors customizable). 3. Weekly and Monthly Pivot Points: - Weekly and Monthly pivots include **Pivot**, **Support (S1, S2, S3)**, and **Resistance (R1, R2, R3)** levels. - Weekly levels are displayed as crossed (`+`) lines, while Monthly levels are displayed as circled (`o`) lines for better visual distinction. - All weekly and monthly levels are optional and can be toggled on/off. 4. Moving Averages: - Includes **Simple Moving Average (SMA)**, **Exponential Moving Average (EMA)**, and **200-Day EMA**. - Customizable lengths and colors for each moving average. - Helps identify trends and potential entry/exit points. 5. Volume Weighted Average Price (VWAP): - Displays VWAP for intraday trading. - Can be toggled on/off and customized for color. 6. Previous Day High/Low: - Highlights the "Previous Day High" and "Previous Day Low" on the chart. - Useful for identifying breakout or reversal zones. - Customizable colors for both high and low levels. 7. Visibility Settings: - All pivot points, CPR, VWAP, and previous day high/low are "hidden on daily and above timeframes" by default. - Ensures the indicator is optimized for intraday trading. 8. Customization Options: - Toggle visibility of CPR, pivot points, moving averages, VWAP, and previous day high/low. - Customize colors, lengths, and styles for all elements. - Adjust input sources for calculations (e.g., close, open, etc.). --- How to Use: Intraday Trading: Use the CPR and daily pivot points to identify key support and resistance levels. Combine these with VWAP and moving averages to confirm trends and find potential entry/exit points. Swing Trading: Use weekly and monthly pivot points to identify longer-term support and resistance zones. Breakout Trading: Monitor the previous day's high and low for potential breakout opportunities. Trend Analysis: Use the moving averages (SMA, EMA, 200-Day EMA) to identify the overall trend direction. --- Default Settings: - **CPR**: Enabled by default (Central Pivot line cannot be disabled). - **Daily Pivot Points**: Levels 1 and 2 (S1/R1, S2/R2) are enabled by default. - **Weekly/Monthly Pivot Points**: Disabled by default (can be enabled from settings). - **Moving Averages**: SMA (20), EMA (21), and 200-Day EMA are enabled by default. - **VWAP**: Enabled by default. - **Previous Day High/Low**: Enabled by default. --- Customization Options: - **CPR**: - Enable/Disable CPR lines. - Customize colors for CP, BC, and TC lines. - **Pivot Points**: - Enable/Disable daily, weekly, and monthly pivot points. - Customize colors for support and resistance levels. - **Moving Averages**: - Adjust lengths for SMA, EMA, and 200-Day EMA. - Customize colors for each moving average. - **VWAP**: - Enable/Disable VWAP. - Customize color. - **Previous Day High/Low**: - Enable/Disable previous day high/low. - Customize colors for high and low levels. --- Best Practices: 1. **Combine Indicators**: Use CPR and pivot points in conjunction with moving averages and VWAP to confirm trends and identify high-probability trading setups. 2. **Timeframe Optimization**: The indicator is designed for intraday trading, so it hides unnecessary elements on daily and above timeframes. 3. **Color Coding**: Customize colors to match your chart theme and improve readability. 4. **Backtesting**: Test the indicator on historical data to understand how it behaves in different market conditions. --- Disclaimer: This indicator is intended for educational and informational purposes only. It does not provide financial advice or guarantee profits. Always conduct your own research and consult with a professional before making trading decisions.
Indicatore Pine Script®
di mrsekhar
Fib BB on VWMA*ATRThis TradingView Pine Script is designed to plot Fibonacci Bollinger Bands on a Volume Weighted Moving Average (VWMA) using the Average True Range (ATR). The script takes a higher timeframe (HTF) approach, allowing traders to analyze price action and volatility from a broader market perspective. 🔹 How It Works Higher Timeframe Data Integration Users can select a specific timeframe to calculate the VWMA and ATR. This allows for a more macro perspective, avoiding the noise of lower timeframes. Volume Weighted Moving Average (VWMA) Unlike the Simple Moving Average (SMA), VWMA gives higher weight to price movements with larger volume. Calculation Formula: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 Since VWMA accounts for volume, it is more reactive to price zones with high buying or selling activity, making it useful for identifying liquidity zones. ATR-Based Fibonacci Bollinger Bands The Average True Range (ATR) is used to measure market volatility. Instead of standard deviation-based Bollinger Bands, Fibonacci multipliers (2.618, 3.0, 3.414) are applied to ATR. These bands adjust dynamically with market volatility. 🔹 Key Findings from Exploration Through testing and analysis, this indicator seems to effectively detect supply and demand zones, particularly at the Fibonacci levels of 2.618 to 3.414. Price frequently reacts at these bands, indicating that they capture key liquidity zones. Potential Order Block Detection: The ends of the Fibonacci Bollinger Bands (especially at 2.618, 3.0, and 3.414) tend to align with order blocks—areas where institutional traders previously accumulated or distributed positions. This is particularly useful for order flow traders who focus on unfilled institutional orders. 🔹 How to Use This Indicator? Identifying Order Blocks When price reaches the upper or lower bands, check if there was a strong reaction (rejection or consolidation). If price rapidly moves away from a band, that level might be an order block. Spotting Liquidity Pools VWMA’s nature enhances liquidity detection since it emphasizes high-volume price action. If a price level repeatedly touches the band without breaking through, it suggests institutional orders may be absorbing liquidity there. Trend Confirmation If VWMA is trending upwards and price keeps rejecting the lower bands, it confirms a strong bullish trend. Conversely, constant rejection from the upper bands suggests a bearish market. This script is designed for open-source publication and offers traders a refined approach to detecting order blocks and liquidity zones using Fibonacci-based volatility bands. 📌 한글 설명 (상세 설명) 이 트레이딩뷰 파인스크립트는 거래량 가중 이동평균(VWMA)과 평균 실제 범위(ATR)를 활용하여 피보나치 볼린저 밴드를 표시하는 지표입니다. 또한, 고차 타임프레임(HTF) 데이터를 활용하여 시장의 큰 흐름을 분석할 수 있도록 설계되었습니다. 🔹 지표 작동 방식 고차 타임프레임(HTF) 데이터 적용 사용자가 원하는 타임프레임을 선택하여 VWMA와 ATR을 계산할 수 있습니다. 이를 통해 더 큰 시장 흐름을 분석할 수 있으며, 저타임프레임의 노이즈를 줄일 수 있습니다. 거래량 가중 이동평균(VWMA) 적용 VWMA는 단순 이동평균(SMA)보다 거래량이 많은 가격 움직임에 더 큰 가중치를 부여합니다. 계산 공식: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 ​ 거래량이 많이 발생한 가격 구간을 강조하는 특성이 있어, 시장의 유동성 구간을 더 정확히 포착할 수 있습니다. ATR 기반 피보나치 볼린저 밴드 생성 ATR(Average True Range)를 활용하여 변동성을 측정합니다. 기존의 표준편차 기반 볼린저 밴드 대신, 피보나치 계수(2.618, 3.0, 3.414)를 ATR에 곱하여 밴드를 생성합니다. 이 밴드는 시장 변동성에 따라 유동적으로 조정됩니다. 🔹 탐구 결과: 매물대 및 오더블록 감지 테스트를 통해 Fibonacci 2.618 ~ 3.414 구간에서 매물대 및 오더블록을 포착하는 경향이 있음을 확인했습니다. 가격이 피보나치 밴드(특히 2.618, 3.0, 3.414)에 닿을 때 반응하는 경우가 많음 VWMA의 특성을 통해 오더블록을 감지할 가능성이 높음 🔹 오더블록(Order Block) 감지 원리 Fibonacci 밴드 끄트머리(2.618 ~ 3.414)에서 가격이 강하게 반응 이 영역에서 가격이 강하게 튀어 오르거나(매수 압력) 급락하는(매도 압력) 경우, → 기관들이 포지션을 청산하거나 추가 매집하는 구간일 가능성이 큼. 과거에 대량 주문이 체결된 가격 구간(= 오더블록)일 수 있음. VWMA를 통한 유동성 감지 VWMA는 거래량이 집중된 가격을 기준으로 이동하기 때문에, 기관 주문이 많이 들어온 가격대를 강조하는 특징이 있음. 따라서 VWMA와 피보나치 밴드가 만나는 지점은 유동성이 높은 핵심 구간이 될 가능성이 큼. 매물대 및 청산 구간 분석 가격이 밴드에 도달했을 때 강한 반등이 나오는지를 확인 → 오더블록 가능성 가격이 밴드를 여러 번 테스트하면서 돌파하지 못한다면, 해당 지점은 강한 매물대일 가능성 🔹 활용 방법 ✅ 오더블록 감지: 가격이 밴드(2.618~3.414)에 닿고 강하게 튕긴다면, 오더블록 가능성 해당 지점에서 거래량 증가 및 강한 반등 발생 시 매수 고려 ✅ 유동성 풀 확인: VWMA와 피보나치 밴드가 만나는 구간에서 반복적으로 거래량이 터진다면, 해당 지점은 기관 유동성 구간일 가능성 ✅ 추세 확인: VWMA가 상승하고 가격이 밴드 하단(지지선)에서 튕긴다면 강한 상승 추세 VWMA가 하락하고 가격이 밴드 상단(저항선)에서 거부당하면 하락 추세 지속
Indicatore Pine Script®
di kdhchgo
THMA VWAP Oscillator [by Oberlunar]The THMA VWAP Oscillator of Oberlunar is a trend-following and liquidity-sensitive indicator that blends the Triple Hull Moving Average (THMA) with Volume Weighted Average Price (VWAP) deviation bands to highlight high-probability trading setups. It helps traders differentiate between healthy momentum moves and market noise , making it an effective tool for spotting trend continuations, reversals, and mean reversion trades . At its core, the THMA is an advanced moving average that smooths price action while minimizing lag. Unlike conventional moving averages that react slowly, the THMA dynamically adapts to market conditions by applying a weighted smoothing process. This allows it to react more efficiently to momentum shifts , making it ideal for trend-following and breakout strategies . The VWAP acts as a volume-weighted price equilibrium, giving traders a framework for understanding institutional positioning. Since VWAP considers both price and volume , it helps determine whether the market is trading at a premium or a discount relative to where most of the volume has transacted. The inclusion of VWAP deviation bands , derived from standard deviations, enhances the ability to detect overbought and oversold conditions , ensuring that signals align with key liquidity levels. The indicator generates buy and sell signals based on a structured methodology that incorporates trend direction, liquidity positioning, and momentum confirmation . A buy signal is triggered when the THMA on a higher timeframe is positioned below the THMA of the current timeframe, indicating that the broader trend is supportive of an upward move. Additionally, the THMA must be trading below the lower VWAP deviation band , suggesting that price is in a discounted liquidity zone, which is often an area where institutional buyers step in. To ensure that the signal is not just a random fluctuation, the THMA must also show positive slope , meaning it is actively rising, confirming that price is attempting to reverse or continue its upward move with strength. A sell signal follows the same logic in reverse. The THMA on a higher timeframe must be above the THMA of the current timeframe, confirming alignment with a broader downtrend. The THMA must also be positioned above the upper VWAP deviation band , signaling that price is extended and potentially due for a reversal. To validate that the momentum is actually weakening, the THMA must be in a declining slope , ensuring that price is not simply pausing but actually entering a phase of downward acceleration. One of the key nuances of the THMA VWAP Oscillator is how it visually represents momentum through the serpentine line , which dynamically shifts color as it develops. When the serpentine line maintains a consistent color—green in an uptrend or red in a downtrend—it signals strong trend conviction . However, when the color fluctuates rapidly between green and red, it indicates a weakening signal , suggesting that price action is becoming choppy and trend strength is deteriorating. This alternation in color serves as an early warning of potential reversals, false breakouts, or trend exhaustion. Traders should be cautious when signals appear in conjunction with an unstable serpentine, as they are less likely to be reliable in such conditions. To further enhance signal quality, the indicator incorporates a signal alternation mechanism , ensuring that consecutive buy or sell signals do not appear unless the previous trade setup has been invalidated. This helps prevent overtrading in consolidating markets and reduces the chances of chasing false breakouts. Additionally, the placement of buy and sell labels is optimized using ATR-based scaling , positioning them strategically above or below price action to maintain chart clarity without interfering with live price movements. By integrating trend structure, liquidity positioning, and signal validation , the THMA VWAP Oscillator provides a structured approach to trade execution. It is particularly effective for traders looking to capture breakout moves, pullback entries, and mean reversion opportunities , as it ensures that entries are aligned with market momentum, institutional positioning, and price equilibrium dynamics . The ability to filter out weak signals while identifying strong momentum trends makes it an indispensable tool for trend-followers, breakout traders, and mean reversion specialists alike . I am very pleased to share that I am publicly releasing one of my private indicators, which I usually provide exclusively to my community. This is a significant moment for me, as this tool has been carefully refined and tested to offer high-quality trading insights. I also want to take this opportunity to thank my entire community for the incredible support I have received over the past few months. Your feedback, engagement, and enthusiasm continue to inspire me, and I truly appreciate being part of this journey with all of you. Stay tuned for more updates, and as always, trade smart! 🚀
Indicatore Pine Script®
di oberlunar_tr
2
Dynamic VWAP Levels (V1.0)The script calculates bands around the VWAP (Volume Weighted Average Price) using the Average True Range (ATR) to adjust the levels according to market reality. Buy and sell signals are generated when the price crosses these bands. Customizable Parameters SmoothingLength (SmoothLength): The period used to smooth the levels. A higher value results in smoother bands that are less susceptible to rapid fluctuations. Use EMA for smoothing?: Selects between using the Exponential Moving Average (EMA) or the Simple Moving Average (SMA) for smoothing. ATR Length: The period used to calculate the ATR, which determines the frequency. ATR Multiplier: A multiplier that adjusts the amplitude of the bands around the VWAP. How the Script Works Calculating VWAP and Bands: The VWAP is calculated to obtain the volume weighted average price. Bands are created around the VWAP by adding or subtracting a fraction of the ATR to account for the current market variation. Smoothing Application: Price levels are smoothed to reduce market noise, allowing for better visualization of trends. Signal Generation: Buy Signal: Generated when price crosses upwards the smoothed lower band (default dp7_smooth). Sell Signal: Generated when price crosses downwards the smoothed upper band (default dp1_smooth).
Indicatore Pine Script®
di WhaleMoves
Multi-Timeframe VWMA chartThis "Multi-Timeframe VWMA Indicator" is a powerful tool for traders seeking to analyze price action across multiple timeframes using the Volume Weighted Moving Average (VWMA). Built in Pine Script v6, it overlays a customizable VWMA on your chart while displaying a table that tracks how your chosen price source (e.g., close, open, high, low) interacts with the VWMA across eight timeframes: 1m, 3m, 5m, 15m, 1h, 4h, 1d, and 1w. Key features include adjustable inputs: select your price source, set the VWMA length (default 20), pick the line color (default blue), adjust line width (default 2), and apply an offset (default 0, range -500 to 500) to shift the VWMA for precise alignment. The VWMA is plotted on the current chart timeframe, scaling naturally with price due to the overlay setting. The table, positioned top-right, shows each timeframe’s status: an upward arrow (↑, green) if the source is above the VWMA, indicating bullish momentum, or a downward arrow (↓, red) if below, suggesting bearish pressure. Using request.security, it fetches data efficiently, making it ideal for multi-timeframe analysis. Perfect for traders wanting a clear, customizable view of VWMA-based trends.
Indicatore Pine Script®
di brianoppen254
PivotBuilderOverview PivotBuilder is a versatile trading tool that allows traders to create up to eight pivot lines, calculated using moving averages and standard deviation offsets, for enhanced market analysis and trade signal generation. These pivot lines work in conjunction with a trigger line to generate long and short signals based on user-defined parameters. Key features: Build strategies based on interaction between a moving average and any one or more of the 8 pivot lines - all fully configurable. Customizable moving average types for pivot and trigger lines (SMA, EMA, VWMA). Optional global pivot line configuration to simplify parameter adjustments. Signal persistence options: signals can last for only one bar or until the opposite signal is issued. Strategy visualization on chart. Ideal for intraday and swing traders seeking dynamic support/resistance analysis and related strategies. Key Concepts: Customizable Pivot Lines Create up to eight pivot lines with individually adjustable lengths, moving average types, and standard deviation offsets. Optionally enable or disable signal generation for each pivot line. Global Pivot Line Settings Use a single global length for all pivot lines with one input for quicker configuration. Signal Persistence Choose between signals lasting only for the current bar or remaining active until the opposite signal is issued. Chart Highlighting Green background: Long signal is active. Red background: Short signal is active. Alerts Configure alerts for signals via email, Discord, pop-ups, or sound using TradingView's native alert function. Input Parameters Global Settings: Use Global Length for Pivot Lines: Enable this to apply a single length value to all pivot lines. Global Pivot Line Length: The length to apply when the global setting is enabled. Signal Mode: Signal Mode: Select how long signals persist. One Bar Only: Signals last only for the current bar. Until Opposite Signal: Signals remain active until the opposite signal is triggered. Trigger Line: Trigger Line Moving Average Length: Set the length of the moving average for the trigger line. Trigger Line MA Type: Choose the moving average type (Simple - SMA, Exponential - EMA, Volume-Weighted - VWMA). Pivot Lines: Each of the eight pivot lines has the following configurable settings: Length: Define the moving average length. Overrides the global length if global settings are disabled. MA Type: Choose between Simple - SMA, Exponential - EMA, Volume-Weighted - VWMA. Standard Deviation: Set the standard deviation offset for the pivot line. Enable Signal: Turn signal generation on/off for the specific pivot line. Example Strategy on Nasdaq Futures (NQ, 1-minute Chart) Long Signal: A long signal is generated when: The trigger line crosses above Pivot Line, Pivot Line 2, Pivot Line 3, and Pivot Line 4. Short Signal: A short signal is generated when: The trigger line crosses below Pivot Line, Pivot Line 2, Pivot Line 3, and Pivot Line 4. Configuration Example: Global Settings: Use Global Length for Pivot Lines: Disabled (to allow individual lengths for each pivot line). Signal Mode: Until Opposite Signal (signals persist until the opposite signal is triggered). Trigger Line: Trigger Line Moving Average Length: 5. Trigger Line MA Type: EMA (Exponential Moving Average). Pivot Line 1: Length: 20. MA Type: EMA (Exponential Moving Average). Standard Deviation: 0.25. Enable Signal: True. Pivot Line 2: Length: 50. MA Type: EMA (Exponential Moving Average). Standard Deviation: -0.5. Enable Signal: True. Pivot Line 3: Length: 50. MA Type: EMA (Exponential Moving Average). Standard Deviation: 1. Enable Signal: True. Pivot Line 4: Length: 40. MA Type: EMA (Exponential Moving Average). Standard Deviation: 2.0. Enable Signal: True. Set Pivot Lines 5-8 disabled. Signals: Green Highlight: Indicates a long signal is active. Red Highlight: Indicates a short signal is active. Alerts PivotBuilder allows you to set alerts for long or short signals. Here’s how to set them up in TradingView: Add the Indicator: Attach PivotBuilder to your chart. Open Alert Menu: Right-click on the chart and select Add Alert. Condition: Choose your symbol (e.g., NQ) and select PivotBuilder. Alert Options: Crossing: Choose if you want to be alerted for "long" or "short" signals. Notifications: Configure alerts via: Email: Receive email alerts when signals are triggered. Webhook: Set up Discord notifications via webhooks. Pop-ups: Show an on-screen alert in TradingView. Sound: Play a sound when a signal is issued. Create: Save the alert. Signal Persistence: How It Works PivotBuilder gives you control over how long signals remain active: One Bar Only: Signals are active for the current bar only. At the close of the bar, signals reset automatically. Until Opposite Signal: A long signal remains active until a short signal is triggered and vice versa. Useful for trend-following strategies. Development Roadmap Future updates for PivotBuilder will include: New Moving Average Types: Expand the available moving average options for both the pivot and trigger lines. Planned additions include, Weighted Moving Average (WMA), Hull Moving Average (HMA), Least Squares Moving Average (LSMA), and more. Dynamic Volume Filtering: Add volume-based conditions to validate signals during periods of high market activity, filtering out low-liquidity signals. Incorporation of Support/Resistance Calculations: Integrate traditional and alternative methods of support and resistance calculations into pivot lines such as Fibonacci retracements, Average True Range (ATR), volume-profile based support. Automated trading via Strategy companion add-on.
Indicatore Pine Script®
di ChartVPS
Strength of Divergence Across Multiple Indicators (+CMF&VWMACD)Modified Version of Strength of Divergence Across Multiple Indicators by reees Purpose: This Pine Script indicator is designed to identify and evaluate the strength of bullish and bearish divergences across multiple technical indicators. Divergences occur when the price of an asset is moving in one direction while a technical indicator is moving in the opposite direction, potentially signaling a trend reversal. Key Features: 1. Multiple Indicator Support: The script now analyzes divergences for the following indicators: * RSI (Relative Strength Index) * OBV (On-Balance Volume) * MACD (Moving Average Convergence/Divergence) * STOCH (Stochastic Oscillator) * CCI (Commodity Channel Index) * MFI (Money Flow Index) * AO (Awesome Oscillator) * CMF (Chaikin Money Flow) - Newly added * VWMACD (Volume-Weighted MACD) - Newly added 2. Customizable Divergence Parameters: * Bullish/Bearish: Enable or disable the detection of bullish and bearish divergences independently. * Regular/Hidden: Detect both regular and hidden divergences (hidden divergences can indicate trend continuation). * Broken Trendline Exclusion: Optionally ignore divergences where the trendline connecting price pivots is broken by an intermediate pivot. * Pivot Lookback Periods: Adjust the number of bars used to identify valid pivot highs and lows for divergence calculations. * Weighting: Assign different weights to regular vs. hidden divergences and to the relative change in price vs. the indicator. 3. Indicator-Specific Settings: * Weight: Each indicator can be assigned a weight, influencing its contribution to the overall divergence strength calculation. * Extreme Value: Define a threshold above which an indicator's divergence is considered "extreme," giving it a higher strength rating. 4. Divergence Strength Calculation: * For each indicator, the script calculates a divergence "degree" based on the magnitude of the divergence and the user-defined weightings. * The total divergence strength is the sum of the individual indicator divergence degrees. * Strength is categorized as "Extreme," "Very strong," "Strong," "Moderate," "Weak," or "Very weak." 5. Visualization: * Divergence Lines: The script draws lines on the chart connecting the price and indicator pivots that form a divergence (optional, with customizable transparency). * Labels: Labels display the total divergence strength and a breakdown of each indicator's contribution. The size and visibility of labels are based on the strength. 6. Alerts: * The script can generate alerts when the total divergence strength exceeds a user-defined threshold. New Indicators (CMF and VWMACD): * Chaikin Money Flow (CMF): * Purpose: Measures the buying and selling pressure by analyzing the relationship between price, volume, and the accumulation/distribution line. * Divergence: A bullish CMF divergence occurs when the price makes a lower low, but the CMF makes a higher low (suggesting increasing buying pressure). A bearish divergence is the opposite. * Volume-Weighted MACD (VWMACD): * Purpose: Similar to the standard MACD but uses volume-weighted moving averages instead of simple moving averages, giving more weight to periods with higher volume. * Divergence: Divergences are interpreted similarly to the standard MACD, but the VWMACD can be more sensitive to volume changes. How It Works (Simplified): 1. Pivot Detection: The script identifies pivot highs and lows in both price and the selected indicators using the specified lookback periods. 2. Divergence Check: For each indicator: * It checks if a series of pivots in price and the indicator are diverging (e.g., price makes a lower low, but the indicator makes a higher low for a bullish divergence). * It calculates the divergence degree based on the difference in price and indicator values, weightings, and whether it's a regular or hidden divergence. 3. Strength Aggregation: The script sums up the divergence degrees of all enabled indicators to get the total divergence strength. 4. Visualization and Alerts: It draws lines and labels on the chart to visualize the divergences and generates alerts if the total strength exceeds the set threshold. Benefits: * Comprehensive Divergence Analysis: By considering multiple indicators, the script provides a more robust assessment of potential trend reversals. * Customization: The many adjustable parameters allow traders to fine-tune the script to their specific trading style and preferences. * Objective Strength Evaluation: The divergence strength calculation and categorization offer a more objective way to evaluate the significance of divergences. * Early Warning System: Divergences can often precede significant price movements, making this script a valuable tool for anticipating potential trend changes. * Volume Confirmation: The inclusion of CMF and VWMACD add volume-based confirmation to the divergence signals, potentially increasing their reliability. Limitations: * Lagging Indicators: Most of the indicators used are lagging, meaning they are based on past price data. Divergences may sometimes occur after a significant price move has already begun. * False Signals: No indicator is perfect, and divergences can sometimes produce false signals, especially in choppy or ranging markets. * Subjectivity: While the script aims for objectivity, some settings (like weightings and extreme values) still involve a degree of subjective judgment.
Indicatore Pine Script®
di AzamSaja
2
Volume IQOverview Volume IQ is meant to be the ‘intelligent volume distribution analyzer’ that takes much of the work of interpreting volume profiles off of your shoulders. It attempts to ‘do the technical analysis’ of volume data for you, with its capstone feature being "Trading Action Zones": ranges on the chart whose placement are determined by high and low volume nodes and sentiment analysis, and their adapting range affected by current volatility. These zones are meant to offer practical levels for potential entries, exits, targets, and stops while trading. These zones are the cherry on top of other useful and original features like visuals for grouping areas of similar buy/sell bias. Originality and Usefulness Volume IQ stands out for its originality by offering a data-driven approach to interpreting volume profiles and presenting its analysis on the chart. Unlike traditional volume profiles, Volume IQ automates much of the volume analysis process, helping traders identify potential opportunities and key trading areas with minimal effort. Its unique "Trading Action Zones" leverage high and low volume nodes, sentiment analysis, and current volatility to highlight practical levels for entries, exits, targets, and stops. Additionally, the tool provides grouped bias visuals, gradient coloring, and flexible customization options, allowing traders to gain a clearer understanding of market sentiment and structure. By simplifying complex volume data into actionable insights, Volume IQ provides a valuable and efficient resource for charting on TradingView. The ‘Capstone’ Feature: Trading ‘Action Zones’: Potential areas to take trading action based on built-in interpretations of high-volume nodes, low-volume nodes, and overarching chart sentiment (whose calculation is described below), and their interplay. Categorized by tiers - with Tier 2 zones intended as potential entry areas, and Tier 1 zones for exits or adds. These zones can also present logical areas to consider targets and stops, for example placing a stop loss in a Tier 1 sell zone below price where there is a series of low-volume nodes and potentially not much support. These zones help you quickly identify potential areas on the chart to ‘take action’. Key Features: Level and Block Biases: By estimating buying and selling volume, as well as leveraging intrabar data, the Volume IQ profile provides detailed buy/sell sentiment at individual price levels. It then groups together consecutive price levels with the same bias into what we call ‘Block Biases’ making it easy to determine larger price areas with distinct buying or selling pressure. Chart Sentiment Analysis: A ‘continuously optimizing algorithm’ configured to find high average runups after a sentiment switch powers what we call ‘bias guidelines’ which border the Volume IQ profile and influence the determination of Action Zones. This algorithm is based on comparing many combinations of volume-weighted trends, largely based on smoothed volume weighted moving averages, on each bar, to ensure that the approach with the highest average runup amongst the combinations is used. Zones of Control: A gradient-coloring approach to the profile highlighst areas of influence at a glance, making it easier to focus on key price levels. Broad Compatibility: Works across all chart timeframes and market types - so long as volume data and OHLC candle data is available. Highly Customizable: Configure features to align with your trading preferences and workflow. Show them all, or pick and choose the ones you want. Settings Use a Color Theme: Toggle between our predefined color themes or customize your own. Style: Select your preferred color theme (e.g., "TI Fusion"). Colors (When Not Using a Theme): Customize primary, secondary, and background colors for your own non-theme styling. Gradient Coloring: Enable or disable gradient shading of the profile for visual enhancement of zones with high control and low control. Action Zones: Turn trading action zones on or off to highlight key trading levels. Time Staggering: Enabling this option will simply ‘stagger’ the display of action zones horizontally. Zones closer to price will be placed leftwards, and as they become more distant from price, they will be ‘staggered out’ rightwards, to give an intuitive feel for the time it may take for price to reach these zones. Tier Labels: Enable or disable the ‘tier labels’ (1 square for Tier 1, 2 squares for Tier 2) for action zones. Bias Blocks: Toggle the display of grouped buy/sell bias blocks. Extend: Choose how the bias blocks are displayed: “Left” to stretch them from the end to the beginning of the histogram, “Right” to extend from the end outwards, and “Across” to extend from the beginning to outwards past the end, enveloping the bias and volume count labels. Opacity: Adjust the transparency level of bias blocks (0–100). Level Bias Labels: Turn on/off labels for individual price level biases. Bias Guidelines: Enable the visual guidelines for bias levels which border the profile. Volume Counts: Toggle volume count labels for each of the profile’s price levels. Split Buy/Sell Volume: Enable separate display of buy and sell volume for each level (buy volume on the left, sell volume on the right). Font Size: Adjust the font size for these labels. Histogram Display: Choose the display option for the histogram bars of the profile themselves: "Full View" will display the profile, and “None” will hide it. BG Shading Logic: Adjust the background shading logic for the display: “Neutral” will use the ‘Neutral Color’ from your color theme to put some emphasis around high and low volume nodes, while “None” will remove any background shading. Detail: This option allows you to set the granularity of the volume data used: “Bar Data” will simply use the bar data from the chart timeframe, while “Intrabar Data” will attempt to use bar data from a lower timeframe. Please note that using intrabar data may not be available with your TradingView subscription on some timeframes, and also that using intrabar data may increase calculation time. Data Request: Choose the lookback for the volume distribution: "Long-term" will look back 500 bars, and “Short-Term” will halve this. # of Levels: Specify the number of levels/rows to display for visualizing the distribution.
Indicatore Pine Script®
di TradingIndicatorsNow
Unique Trend Meter this unique trend meter indicator is designed to provide a comprehensive view of market trends based on the interaction of multiple moving averages and the linear regression line. unlike other indicators that only focus on a single type of trend-following line, this strategy combines four different lines: the exponential moving average (ema), simple moving average (sma), volume-weighted moving average (vwma), and linear regression (linreg). by normalizing their values to a consistent scale of 0-5000, the indicator ensures that these lines are comparable, allowing for better trend analysis and decision-making. key features and differences: multiple trend lines: the indicator uses four different types of moving averages, offering a broader and more nuanced view of the market. while other indicators might only use one type, this strategy combines ema, sma, vwma, and linreg to capture various market behaviors. normalization to 0-5000 scale: each of the moving averages is normalized to a 0-5000 scale. this allows for consistent comparisons across different lines and ensures that each trend line can be analyzed on a uniform range, making it easier to detect significant changes. zone identification: this indicator doesn't directly generate buy or sell signals; instead, it focuses on identifying zones. when the linreg line crosses above all the other moving averages, it signals a potential bull zone, and when it crosses below, it indicates a bear zone. these zones represent areas where market conditions are favorable for either buying or selling, but they are not definitive trade signals. background color: the background color changes dynamically based on the positions of the lines. when all the lines are above 1000, the background turns green, indicating a bullish environment. when they fall below 4000, the background turns red, signaling a bearish environment. this visual cue helps traders quickly identify the prevailing market sentiment. crossover detection: the indicator also detects when the linreg line crosses above or below the other lines, indicating potential shifts in market direction. these crossovers can serve as a signal for traders to pay closer attention to the current trend, even though they are not directly tradable signals. no tables or unnecessary clutter: unlike some other indicators that include tables or complex elements, this one is designed to be as simple and clean as possible, focusing on the trend lines and background color for easy interpretation. main purpose of the indicator: this unique trend meter is primarily focused on identifying zones (bull and bear zones) based on the behavior of four key moving averages. it’s not intended to provide direct buy or sell signals but instead helps traders understand when the market is in a bullish or bearish environment based on the interaction of multiple trend lines. traders can use these zones to make more informed decisions, aligning their trades with the overall market trend. in summary, this indicator offers a holistic view of market trends, giving traders a clearer understanding of when to anticipate a potential shift in market conditions. its emphasis on zones, combined with the use of multiple trend lines, makes it stand out from other simpler indicators that only rely on one type of moving average or trend-following line.
Indicatore Pine Script®
di hormuzdengineer
3
Granular Candle-by-Candle VWAPGranular Candle-by-Candle VWAP is a customizable Volume Weighted Average Price (VWAP) indicator designed for TradingView. Unlike traditional VWAP indicators that operate on the chart's primary timeframe, this script enhances precision by incorporating lower timeframe (e.g., 1-minute) data into VWAP calculations. This granular approach provides traders with a more detailed and accurate representation of the average price, accounting for intra-bar price and volume movements. The indicator dynamically adjusts to the chart's current timeframe and offers a range of customization options, including price type selection, visual styling, and alert configurations. Customizable Features Users have extensive control over various aspects of the Granular Candle-by-Candle VWAP indicator. Below are the key features that can be customized to align with individual trading preferences: 🎛️ Customizable Features Users have extensive control over various aspects of the Granular Candle-by-Candle VWAP indicator. Below are the key features that can be customized to align with individual trading preferences: 🔢 Lookback Period Description: Defines the number of lower timeframe bars used in the VWAP calculation. Customization: Input: VWAP Lookback Period (Number of Lower Timeframe Bars) Default Value: 20 bars Range: Minimum of 1 bar Purpose: Allows traders to adjust the sensitivity of the VWAP. A smaller lookback period makes the VWAP more responsive to recent price changes, while a larger period smoothens out fluctuations. 📈 Price Type Selection Description: Determines which price metric is used in the VWAP calculation. Customization: Input: Price Type for VWAP Calculation Options: Open: Uses the opening price of each lower timeframe bar. High: Uses the highest price of each lower timeframe bar. Low: Uses the lowest price of each lower timeframe bar. Close: Uses the closing price of each lower timeframe bar. OHLC/4: Averages the Open, High, Low, and Close prices. HL/2: Averages the High and Low prices. Typical Price: (High + Low + Close) / 3 Weighted Close: (High + Low + 2 × Close) / 4 Default Value: Close Purpose: Offers flexibility in how the average price is calculated, allowing traders to choose the price metric that best fits their analysis style. 🕒 Lower Timeframe Selection Description: Specifies the lower timeframe from which data is fetched for granular VWAP calculations. Customization: Input: Lower Timeframe for Granular Data Default Value: 1 minute ("1") Options: Any valid TradingView timeframe (e.g., "1", "3", "5", "15", etc.) Purpose: Enables traders to select the granularity of data used in the VWAP calculation, enhancing the indicator's precision on higher timeframe charts. 🎨 VWAP Line Customization Description: Adjusts the visual appearance of the VWAP line based on price position relative to the VWAP. Customizations: Color When Price is Above VWAP: Input: VWAP Color (Price Above) Default Value: Green Color When Price is Below VWAP: Input: VWAP Color (Price Below) Default Value: Red Line Thickness: Input: VWAP Line Thickness Default Value: 2 Range: Minimum of 1 Line Style: Input: VWAP Line Style Options: Solid, Dashed, Dotted Default Value: Solid Purpose: Enhances visual clarity, allowing traders to quickly assess price positions relative to the VWAP through color coding and line styling. 🔔 Alerts and Notifications Description: Provides real-time notifications when the price crosses the VWAP. Customizations: Enable/Disable Alerts: Input: Enable Alerts for Price Crossing VWAP Default Value: Enabled (true) Alert Conditions: Price Crossing Above VWAP: Trigger: When the closing price crosses from below to above the VWAP. Alert Message: "Price has crossed above the Granular VWAP." Price Crossing Below VWAP: Trigger: When the closing price crosses from above to below the VWAP. Alert Message: "Price has crossed below the Granular VWAP." Purpose: Keeps traders informed of significant price movements relative to the VWAP, facilitating timely trading decisions. 📊 Plotting and Visualization Description: Displays the calculated Granular VWAP on the chart with user-defined styling. Customization Options: Color, Thickness, and Style: As defined in the VWAP Line Customization section. Track Price Feature: Parameter: trackprice=true Function: Ensures that the VWAP line remains visible even when the price moves far from the VWAP. Purpose: Provides a clear and persistent visual reference of the VWAP on the chart, aiding in trend analysis and support/resistance identification. ⚙️ Performance Optimizations Description: Ensures the indicator runs efficiently, especially on higher timeframes with large datasets. Strategies Implemented: Minimized Security Calls: Utilizes two separate request.security calls to fetch necessary data, balancing functionality and performance. Efficient Calculations: Employs built-in functions like ta.sum for rolling calculations to reduce computational load. Conditional Processing: Alerts are processed only when enabled, preventing unnecessary computations. Purpose: Maintains smooth chart performance and responsiveness, even when using lower timeframe data for granular calculations.
Indicatore Pine Script®
di kronos455
Moving AveragesWhile this "Moving Averages" indicator may not revolutionize technical analysis, it certainly offers a valuable and efficient solution for traders seeking to streamline their chart analysis process. This all-in-one tool addresses a common frustration among traders: the need to constantly search for and compare different types and lengths of moving averages. Key Features The indicator allows for the configuration of up to 5 moving averages simultaneously, providing a comprehensive view of price trends. Users can choose from 7 types of moving averages for each line, including SMA, EMA, WMA, VWMA, HMA, SMMA, and TMA. This variety ensures that traders can apply their preferred moving average types without the need for multiple indicators. Each moving average can be fully customized in terms of length, color, line style, and thickness, allowing for clear visual differentiation. However, what sets this indicator apart is its "Smart Opacity" feature. When activated, this option dynamically adjusts the transparency of the moving average lines based on their direction, with ascending lines appearing more opaque and descending lines more transparent. This subtle yet effective visual cue aids in quickly identifying trend changes and potential trading signals. Advantages The primary benefit of this indicator lies in its convenience. By consolidating multiple moving averages into a single, customizable tool, it saves traders valuable time and reduces chart clutter. The Smart Opacity feature, while not groundbreaking, does offer an intuitive way to visualize trend strength and direction at a glance. Moreover, the indicator's flexibility makes it suitable for various trading styles and experience levels. Whether you're a novice trader learning to interpret basic trend signals or an experienced analyst fine-tuning a complex strategy, this tool can adapt to your needs. In conclusion, while this "Moving Averages" indicator may not be a game-changer in the world of technical analysis, it represents a thoughtful refinement of a fundamental trading tool. By focusing on user convenience and visual clarity, it offers a practical solution for traders looking to optimize their chart analysis process and make more informed trading decisions.
Indicatore Pine Script®
di Julien_Eche
Chill in WavesChill in Waves is a distinctive technical indicator that integrates both volume and price action, specifically designed to help traders identify key market trends and optimize entry/exit points. What sets this indicator apart is its ability to normalize data using Z-score techniques, making it highly adaptable and reliable across any timeframe, from short-term intraday trading to long-term position strategies. Key Features and What Makes it Unique: 1. Volume-Weighted Moving Averages (VWMA): At the core of Chill in Waves are two volume-weighted moving averages (VWMA), which highlight periods of strong price movement influenced by high trading volume. The use of VWMA ensures that market activity during times of increased volume has a greater influence on the signals generated. This provides a more accurate reflection of market sentiment compared to traditional moving averages. 2. Z-Score Normalization: One of the key innovations of Chill in Waves is its Z-score normalization of the difference between the fast and slow VWMAs. This normalization helps to smooth out the noise typically present in raw market data, allowing traders to better identify statistically significant deviations from historical price norms. By using normalized data, traders can confidently apply this indicator across all timeframes without the risk of distortion caused by extreme values or outliers. This is especially beneficial for traders who operate in volatile markets. 3. Versatility Across Timeframes: Unlike many indicators that are calibrated for specific timeframes, Chill in Waves is designed for use on all timeframes, from minute-by-minute charts to daily, weekly, and even monthly charts. The Z-score normalization ensures that signals are consistently reliable, no matter the timeframe you are trading in, providing traders with a flexible tool to adapt to any market conditions. 4. Clear Visual Cues for Buy/Sell Signals: Chill in Waves offers straightforward visual cues by plotting Z-scores with color-coded signals: green for potential bullish trends and red for bearish movements. This makes it easy for traders to quickly assess market conditions at a glance, without the need to interpret complex calculations. 5. Customizable Trailing Stop Feature: To further support effective risk management, Chill in Waves includes a customizable trailing stop feature, allowing traders to lock in profits while minimizing downside risk. The flexibility in adjusting the trailing stop percentage ensures that the indicator can be tailored to fit each trader’s risk tolerance and strategy. Buy and Sell Logic: Buy Logic: A long position is triggered when both the fast and slow VWMA Z-scores are trending upward, signaling a statistically significant shift toward bullish price action. Sell Logic: Positions are closed when the trailing stop condition is met or after a predetermined period, ensuring traders can capture gains while limiting exposure to downside risk. Customization Options: VWMA Length: Traders can adjust the lengths of the fast and slow VWMA to better suit specific market conditions or individual asset classes. Bar Color Customization: For additional visual clarity, you can enable an optional feature that changes the color of price bars based on the Z-score difference, providing further insight into market momentum. Chill in Waves stands out as a flexible and robust indicator for traders across all timeframes, combining the power of volume-weighted moving averages with normalized data to produce accurate and adaptable buy/sell signals. Whether you're a short-term scalper or a long-term trend follower, this indicator offers you the calm confidence needed to ride the waves of market volatility.
Strategia Pine Script®
di lvchi_fin
Median Moving Average @shrilssThe "Median Moving Average" (MMA) It allows users to select from two moving average lengths—short and long—and plots the median moving average, which is the midpoint between these two averages. Colored green for upward trends and red for downward trends, enhancing visual analysis. Additionally, users can choose from a range of moving average types including Simple (SMA), Exponential (EMA), Weighted (WMA), Double Exponential (DEMA), Triple Exponential (TEMA), Hull (HMA), and Volume Weighted (VWMA).
Indicatore Pine Script®
di shrilss
Golden Cross VWMA & EMA 4h PinescriptlabsThis strategy combines the 50-period Volume-Weighted Moving Average (VWMA) on the current timeframe with a 200-period Simple Moving Average (SMA) on the 4-hour timeframe. This combination of indicators with different characteristics and time horizons aims to identify strong and sustained trends across multiple timeframes. The VWMA is a variant of the moving average that assigns greater weight to periods of higher volatility, helping to avoid misleading signals. On the other hand, the 4-hour SMA is used as an additional trend filter in a shorter-term horizon. By combining these two indicators, the strategy can leverage the strength of the VWMA to capture the main trend, but only when confirmed by the SMA in the lower timeframe. Buy signals are generated when the VWMA crosses above the 4-hour SMA, indicating a potential bullish trend aligned in both timeframes. Sell signals occur on a bearish cross, suggesting a possible reversal of the main trend. The default parameters are a 50-period VWMA and a 200-period 4-hour SMA. It is recommended to adjust these lengths according to the traded instrument and the desired timeframe. It is also crucial to use stop losses and profit targets to properly manage risk. By combining indicators of different types and timeframes, this strategy aims to provide a more comprehensive view of trend strength. Español: Esta estrategia combina la Volume-Weighted Moving Average (VWMA) de 50 períodos en el timeframe actual con una Simple Moving Average (SMA) de 200 períodos en el timeframe de 4 horas. Esta combinación de indicadores de distinta naturaleza y horizontes temporales busca identificar tendencias fuertes y sostenidas en múltiples timeframes. La VWMA es una variante de la media móvil que asigna mayor ponderación a los períodos de mayor volatilidad, lo que ayuda a evitar señales engañosas. Por otro lado, la SMA de 4 horas se utiliza como un filtro adicional de tendencia en un horizonte de corto plazo. Al combinar estos dos indicadores, la estrategia puede aprovechar la fortaleza de la VWMA para capturar la tendencia principal, pero sólo cuando es confirmada por la SMA en el timeframe menor. Las señales de compra se generan cuando la VWMA cruza al alza la SMA de 4 horas, indicando una potencial tendencia alcista alineada en ambos horizontes temporales. Las señales de venta ocurren en el cruce bajista, sugiriendo una posible reversión de la tendencia principal. Los parámetros predeterminados son: VWMA de 50 períodos y SMA de 4 horas de 200 períodos. Se recomienda ajustar estas longitudes según el instrumento operado y el horizonte temporal deseado. También es crucial utilizar stops y objetivos de ganancias para controlar adecuadamente el riesgo. Al combinar indicadores de diferentes tipos y timeframes, esta estrategia busca brindar una visión más completa de la fuerza de la tendencia.
Strategia Pine Script®
di PINE_LABS
Dynamic Price Targets @shrilssDynamic Price Targets is a designed to provide traders with a comprehensive view of dynamic price levels based on Volume Weighted Moving Average (VWMA) and standard deviation. This script allows users to identify potential support and resistance zones, aiding in strategic decision-making during market analysis. The script calculates the VWMA of a chosen price source over a specified length, establishing a dynamic baseline for market trends. The standard deviation is then used to derive multiple upper and lower targets, each representing a certain deviation from the VWMA. These levels are color-coded for clarity, with upper targets displayed in shades of red and lower targets in shades of green.
Indicatore Pine Script®
di shrilss
Machine Learning: STDEV Oscillator [YinYangAlgorithms]This Indicator aims to fill a gap within traditional Standard Deviation Analysis. Rather than its usual applications, this Indicator focuses on applying Standard Deviation within an Oscillator and likewise applying a Machine Learning approach to it. By doing so, we may hope to achieve an Adaptive Oscillator which can help display when the price is deviating from its standard movement. This Indicator may help display both when the price is Overbought or Underbought, and likewise, where the price may face Support and Resistance. The reason for this is that rather than simply plotting a Machine Learning Standard Deviation (STDEV), we instead create a High and a Low variant of STDEV, and then use its Highest and Lowest values calculated within another Deviation to create Deviation Zones. These zones may help to display these Support and Resistance locations; and likewise may help to show if the price is Overbought or Oversold based on its placement within these zones. This Oscillator may also help display Momentum when the High and/or Low STDEV crosses the midline (0). Lastly, this Oscillator may also be useful for seeing the spacing between the High and Low of the STDEV; large spacing may represent volatility within the STDEV which may be helpful for seeing when there is Momentum in the form of volatility. Tutorial: Above is an example of how this Indicator looks on BTC/USDT 1 Day. As you may see, when the price has parabolic movement, so does the STDEV. This is due to this price movement deviating from the mean of the data. Therefore when these parabolic movements occur, we create the Deviation Zones accordingly, in hopes that it may help to project future Support and Resistance locations as well as helping to display when the price is Overbought and Oversold. If we zoom in a little bit, you may notice that the Support Zone (Blue) is smaller than the Resistance Zone (Orange). This is simply because during the last Bull Market there was more parabolic price deviation than there was during the Bear Market. You may see this if you refer to their values; the Resistance Zone goes to ~18k whereas the Support Zone is ~10.5k. This is completely normal and the way it is supposed to work. Due to the nature of how STDEV works, this Oscillator doesn’t use a 1:1 ratio and instead can develop and expand as exponential price action occurs. The Neutral (0) line may also act as a Support and Resistance location. In the example above we can see how when the STDEV is below it, it acts as Resistance; and when it’s above it, it acts as Support. This Neutral line may also provide us with insight as towards the momentum within the market and when it has shifted. When the STDEV is below the Neutral line, the market may be considered Bearish. When the STDEV is above the Neutral line, the market may be considered Bullish. The Red Line represents the STDEV’s High and the Green Line represents the STDEV’s Low. When the STDEV’s High and Low get tight and close together, this may represent there is currently Low Volatility in the market. Low Volatility may cause consolidation to occur, however it also leaves room for expansion. However, when the STDEV’s High and Low are quite spaced apart, this may represent High levels of Volatility in the market. This may mean the market is more prone to parabolic movements and expansion. We will conclude our Tutorial here. Hopefully this has given you some insight into how applying Machine Learning to a High and Low STDEV then creating Deviation Zones based on it may help project when the Momentum of the Market is Bullish or Bearish; likewise when the price is Overbought or Oversold; and lastly where the price may face Support and Resistance in the form of STDEV. If you have any questions, comments, ideas or concerns please don't hesitate to contact us. HAPPY TRADING!
Indicatore Pine Script®
di YinYangAlgorithms
5
Multi-TF AI SuperTrend with ADX - Strategy [PresentTrading] ## █ Introduction and How it is Different The trading strategy in question is an enhanced version of the SuperTrend indicator, combined with AI elements and an ADX filter. It's a multi-timeframe strategy that incorporates two SuperTrends from different timeframes and utilizes a k-nearest neighbors (KNN) algorithm for trend prediction. It's different from traditional SuperTrend indicators because of its AI-based predictive capabilities and the addition of the ADX filter for trend strength. BTC 8hr Performance ETH 8hr Performance ## █ Strategy, How it Works: Detailed Explanation (Revised) ### Multi-Timeframe Approach The strategy leverages the power of multiple timeframes by incorporating two SuperTrend indicators, each calculated on a different timeframe. This multi-timeframe approach provides a holistic view of the market's trend. For example, a 8-hour timeframe might capture the medium-term trend, while a daily timeframe could capture the longer-term trend. When both SuperTrends align, the strategy confirms a more robust trend. ### K-Nearest Neighbors (KNN) The KNN algorithm is used to classify the direction of the trend based on historical SuperTrend values. It uses weighted voting of the 'k' nearest data points. For each point, it looks at its 'k' closest neighbors and takes a weighted average of their labels to predict the current label. The KNN algorithm is applied separately to each timeframe's SuperTrend data. ### SuperTrend Indicators Two SuperTrend indicators are used, each from a different timeframe. They are calculated using different moving averages and ATR lengths as per user settings. The SuperTrend values are then smoothed to make them suitable for KNN-based prediction. ### ADX and DMI Filters The ADX filter is used to eliminate weak trends. Only when the ADX is above 20 and the directional movement index (DMI) confirms the trend direction, does the strategy signal a buy or sell. ### Combining Elements A trade signal is generated only when both SuperTrends and the ADX filter confirm the trend direction. This multi-timeframe, multi-indicator approach reduces false positives and increases the robustness of the strategy. By considering multiple timeframes and using machine learning for trend classification, the strategy aims to provide more accurate and reliable trade signals. BTC 8hr Performance (Zoom-in) ## █ Trade Direction The strategy allows users to specify the trade direction as 'Long', 'Short', or 'Both'. This is useful for traders who have a specific market bias. For instance, in a bullish market, one might choose to only take 'Long' trades. ## █ Usage Parameters: Adjust the number of neighbors, data points, and moving averages according to the asset and market conditions. Trade Direction: Choose your preferred trading direction based on your market outlook. ADX Filter: Optionally, enable the ADX filter to avoid trading in a sideways market. Risk Management: Use the trailing stop-loss feature to manage risks. ## █ Default Settings Neighbors (K): 3 Data points for KNN: 12 SuperTrend Length: 10 and 5 for the two different SuperTrends ATR Multiplier: 3.0 for both ADX Length: 21 ADX Time Frame: 240 Default trading direction: Both By customizing these settings, traders can tailor the strategy to fit various trading styles and assets.
Strategia Pine Script®
di PresentTrading
4
Double AI Super Trend Trading - Strategy [PresentTrading]█ Introduction and How It is Different The Double AI Super Trend Trading Strategy is a cutting-edge approach that leverages the power of not one, but two AI algorithms, in tandem with the SuperTrend technical indicator. The strategy aims to provide traders with enhanced precision in market entry and exit points. It is designed to adapt to market conditions dynamically, offering the flexibility to trade in both bullish and bearish markets. *The KNN part is mainly referred from @Zeiierman. BTCUSD 8hr performance ETHUSD 8hr performance █ Strategy, How It Works: Detailed Explanation 1. SuperTrend Calculation The SuperTrend is a popular indicator that captures market trends through a combination of the Volume-Weighted Moving Average (VWMA) and the Average True Range (ATR). This strategy utilizes two sets of SuperTrend calculations with varying lengths and factors to capture both short-term and long-term market trends. 2. KNN Algorithm The strategy employs k-Nearest Neighbors (KNN) algorithms, which are supervised machine learning models. Two sets of KNN algorithms are used, each focused on different lengths of historical data and number of neighbors. The KNN algorithms classify the current SuperTrend data point as bullish or bearish based on the weighted sum of the labels of the k closest historical data points. 3. Signal Generation Based on the KNN classifications and the SuperTrend indicator, the strategy generates signals for the start of a new trend and the continuation of an existing trend. 4. Trading Logic The strategy uses these signals to enter long or short positions. It also incorporates dynamic trailing stops for exit conditions. Local picture █ Trade Direction The strategy allows traders to specify their trading direction: long, short, or both. This enables the strategy to be versatile and adapt to various market conditions. █ Usage ToolTips: Comprehensive tooltips are provided for each parameter to guide the user through the customization process. Inputs: Traders can customize numerous parameters including the number of neighbors in KNN, ATR multiplier, and types of moving averages. Plotting: The strategy also provides visual cues on the chart to indicate bullish or bearish trends. Order Execution: Based on the generated signals, the strategy will execute buy or sell orders automatically. █ Default Settings The default settings are configured to offer a balanced approach suitable for most scenarios: Initial Capital: $10,000 Default Quantity Type: 10% of equity Commission: 0.1% Slippage: 1 Currency: USD These settings can be modified to suit various trading styles and asset classes.
Strategia Pine Script®
di PresentTrading
AI SuperTrend - Strategy [presentTrading] █ Introduction and How it is Different The AI Supertrend Strategy is a unique hybrid approach that employs both traditional technical indicators and machine learning techniques. Unlike standard strategies that rely solely on traditional indicators or mathematical models, this strategy integrates the power of k-Nearest Neighbors (KNN), a machine learning algorithm, with the tried-and-true SuperTrend indicator. This blend aims to provide traders with more accurate, responsive, and context-aware trading signals. *The KNN part is mainly referred from @Zeiierman. BTCUSD 8hr performance ETHUSD 8hr performance █ Strategy, How it Works: Detailed Explanation SuperTrend Calculation Volume-Weighted Moving Average (VWMA): A VWMA of the close price is calculated based on the user-defined length (len). This serves as the central line around which the upper and lower bands are calculated. Average True Range (ATR): ATR is calculated over a period defined by len. It measures the market's volatility. Upper and Lower Bands: The upper band is calculated as VWMA + (factor * ATR) and the lower band as VWMA - (factor * ATR). The factor is a user-defined multiplier that decides how wide the bands should be. KNN Algorithm Data Collection: An array (data) is populated with recent n SuperTrend values. Corresponding labels (labels) are determined by whether the weighted moving average price (price) is greater than the weighted moving average of the SuperTrend (sT). Distance Calculation: The absolute distance between each data point and the current SuperTrend value is calculated. Sorting & Weighting: The distances are sorted in ascending order, and the closest k points are selected. Each point is weighted by the inverse of its distance to the current point. Classification: A weighted sum of the labels of the k closest points is calculated. If the sum is closer to 1, the trend is predicted as bullish; if closer to 0, bearish. Signal Generation Start of Trend: A new bullish trend (Start_TrendUp) is considered to have started if the current trend color is bullish and the previous was not bullish. Similarly for bearish trends (Start_TrendDn). Trend Continuation: A bullish trend (TrendUp) is considered to be continuing if the direction is negative and the KNN prediction is 1. Similarly for bearish trends (TrendDn). Trading Logic Long Condition: If Start_TrendUp or TrendUp is true, a long position is entered. Short Condition: If Start_TrendDn or TrendDn is true, a short position is entered. Exit Condition: Dynamic trailing stops are used for exits. If the trend does not continue as indicated by the KNN prediction and SuperTrend direction, an exit signal is generated. The synergy between SuperTrend and KNN aims to filter out noise and produce more reliable trading signals. While SuperTrend provides a broad sense of the market direction, KNN refines this by predicting short-term price movements, leading to a more nuanced trading strategy. Local picture █ Trade Direction The strategy allows traders to choose between taking only long positions, only short positions, or both. This is particularly useful for adapting to different market conditions. █ Usage ToolTips: Explains what each parameter does and how to adjust them. Inputs: Customize values like the number of neighbors in KNN, ATR multiplier, and moving average type. Plotting: Visual cues on the chart to indicate bullish or bearish trends. Order Execution: Based on the generated signals, the strategy will execute buy/sell orders. █ Default Settings The default settings are selected to provide a balanced approach, but they can be modified for different trading styles and asset classes. Initial Capital: $10,000 Default Quantity Type: 10% of equity Commission: 0.1% Slippage: 1 Currency: USD By combining both machine learning and traditional technical analysis, this strategy offers a sophisticated and adaptive trading solution.
Strategia Pine Script®
di PresentTrading
14