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指标和策略

Pivot and Golden Crossover Swing Strategy### Strategy Description: This **Pivot and Golden Crossover Swing Strategy** combines moving averages and pivot points to identify potential swing trade opportunities. It is designed for traders who want to leverage momentum and key price levels in their decisions. #### Key Features: 1. **Golden Crossover**: - A long position is triggered when the short moving average (50-period by default) crosses above the long moving average (200-period by default). - A short position is triggered when the short moving average crosses below the long moving average. 2. **Pivot Points**: - Identifies recent high and low pivot levels based on a user-defined lookback period (default is 5 candles). - Pivot points are used to determine entry levels and calculate stop-loss and take-profit targets. 3. **Risk Management**: - Stop-loss levels are set relative to pivot points with a user-defined multiplier (default: 1.5x). - Take-profit targets are based on the distance between moving averages, adjusted by a multiplier (default: 2.0x). 4. **Visual Indicators**: - Moving averages are plotted on the chart for trend visualization. - Pivot points are marked with triangle shapes for easy identification. #### Use Case: This strategy works well in trending markets where golden crossovers indicate momentum shifts. The pivot points ensure precise trade management, making it suitable for swing traders aiming to capture medium-term price movements. Let me know if you'd like any further details or adjustments!
Pine Script™策略
由hukumatsingh提供
Order Flow VWAP chatGPTVWAP: El cálculo del VWAP se hace con la función ta.vwap(), que toma el cierre de cada barra para ponderarlo por el volumen de esa barra. Bandas de VWAP: Este script también calcula bandas superiores e inferiores del VWAP usando una desviación estándar. Estas bandas ayudan a visualizar áreas de sobrecompra o sobreventa. Opciones de visualización: Puedes activar o desactivar las bandas de VWAP con el parámetro show_bands. Estilo y color: Puedes personalizar los colores, el ancho de las líneas y las bandas, según lo que prefieras para tu gráfico.
Pine Script™指标
由KARMONYFX提供
1
Daily Open LineIndicator Goal/Objective: This is a Simple Code to show Daily Open Level in chart This script plots a circle at the open price of the current day on the chart. It marks the first bar's open price of each new trading day and keeps the same value for the rest of the day until a new trading day begins. It is only for analysis purpose only. it is not a new indicator and can be replica of any other persons indicator. The purpose of making indicator as an individual indicator is only for easiness.
Pine Script™指标
由ASK_Dinesh_Kumar提供
CCI Buy Signal//@version=5 indicator("CCI Buy Signal", overlay=true) // Inputs for CCI length = input.int(14, title="CCI Length") src = input.source(close, title="Source") // Calculate CCI cci = ta.cci(src, length) prev_cci = ta.valuewhen(bar_index > 0, cci , 0) // Buy condition buySignal = (cci < -100) and (cci > prev_cci) // Plot CCI plot(cci, color=color.blue, title="CCI") hline(100, color=color.red, linestyle=hline.style_dotted, title="Upper Threshold") hline(0, color=color.gray, linestyle=hline.style_dotted, title="Zero Line") hline(-100, color=color.red, linestyle=hline.style_dotted, title="Lower Threshold") // Plot Buy Signal as Arrow plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal Arrow")
Pine Script™指标
由helpfulTruffle94135提供
VWMACD-MFI-OBV Composite# MACD-MFI-OBV Composite A dynamic volume-based technical indicator combining Volume-Weighted MACD, Money Flow Index (MFI), and normalized On Balance Volume (OBV). This composite indicator excels at identifying breakouts and strong trend movements through multiple volume confirmations, making it particularly effective for momentum and high-volatility trading environments. ## Overview The indicator integrates trend, momentum, and cumulative volume analysis into a unified visualization system. Each component is carefully normalized to enable direct comparison, while the background color system provides instant trend recognition. This version is specifically optimized for breakout detection and strong trend confirmation. ## Core Components ### Volume-Weighted MACD Visualized through the background color system, this enhanced MACD implementation uses Volume-Weighted Moving Averages (VWMA) instead of traditional EMAs. This modification ensures greater sensitivity to volume-supported price movements while filtering out less significant low-volume price changes. The background alternates between green (bullish) and red (bearish) to provide immediate trend feedback. ### Money Flow Index (MFI) Displayed as the purple line, the MFI functions as a volume-weighted momentum oscillator. Operating within a natural 0-100 range, it helps identify potential overbought and oversold conditions while confirming volume support for price movements. The MFI is particularly effective at validating breakout momentum. ### Normalized On Balance Volume (OBV) The white line represents normalized OBV, providing insight into cumulative buying and selling pressure. The normalization process scales OBV to match other components while maintaining its ability to confirm price trends through volume analysis. This component excels at identifying strong breakout movements and volume surges. ## Signal Integration The indicator generates its most powerful signals when all three components align, particularly during breakout conditions: Strong Bullish Signals develop when: - Background shifts to green (VWMACD bullish) - MFI shows strong upward momentum - OBV demonstrates sharp volume accumulation Strong Bearish Signals emerge when: - Background turns red (VWMACD bearish) - MFI exhibits downward momentum - OBV shows significant volume distribution ## Market Application This indicator variant is specifically designed for: Breakout Trading: The OBV component provides excellent sensitivity to volume surges, making it ideal for breakout confirmation and momentum validation. Trend Following: Sharp OBV movements combined with MFI momentum help identify and confirm strong trending conditions. High Volatility Markets: The indicator's design excels in active, volatile markets where clear signal generation is crucial for decision-making. ## Technical Implementation Default Parameters: Volume-Weighted MACD maintains traditional periods (12/26/9) while leveraging volume weighting. MFI uses standard 14-period calculation with 80/20 overbought/oversold thresholds. All components undergo normalization over a 100-period lookback for stable comparison. Visual Elements: - Background: VWMACD trend indication (green/red) - Purple Line: Money Flow Index - White Line: Normalized OBV - Yellow Line: Combined signal (arithmetic mean of normalized components) - Reference Lines: Key levels at 20, 50, and 80 ## Trading Methodology The indicator supports a systematic approach to breakout and momentum trading: 1. Breakout Identification Monitor for background color changes accompanied by significant OBV movement, indicating potential breakout conditions. 2. Volume Surge Confirmation Examine OBV slope and magnitude to confirm genuine breakout scenarios versus false moves. 3. Momentum Validation Use MFI to confirm breakout strength and identify potential exhaustion points. 4. Combined Signal Analysis The yellow line provides a unified view of all components, helping identify high-probability breakout opportunities. ## Interpretation Guidelines Breakout Confirmation: Strong breakouts typically show alignment of all three components with notable OBV surge. This configuration often precedes significant price movements. Trend Strength: Continuous OBV expansion during trends, supported by steady MFI readings, suggests sustained momentum. ## Market Selection Optimal Markets Include: - High-beta growth stocks - Momentum-driven securities - Stocks with significant volatility - Active trading instruments - Examples: TSLA, NVDA, growth stocks ## Version Information Current Version: 2.0.0 This indicator represents a specialized adaptation of volume-based analysis, optimized for breakout trading and momentum strategies in high-volatility environments.
Pine Script™指标
由munair提供
metaconnectorLibrary "metaconnector" metaconnector buy_market_order(License_ID, symbol, lot)   Places a buy market order   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to buy   Returns: String syntax for the buy market order sell_market_order(License_ID, symbol, lot)   Places a sell market order   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to sell   Returns: String syntax for the sell market order buy_limit_order(License_ID, symbol, lot, price)   Places a buy limit order   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to buy      price (float) : Limit price for the order   Returns: String syntax for the buy limit order sell_limit_order(License_ID, symbol, lot, price)   Places a sell limit order   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to sell      price (float) : Limit price for the order   Returns: String syntax for the sell limit order stoploss_for_buy_order(License_ID, symbol, lot, stoploss_price)   Places a stop-loss order for a buy position   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to buy      stoploss_price (float)   Returns: String syntax for the buy stop-loss order stoploss_for_sell_order(License_ID, symbol, lot, stoploss_price)   Places a stop-loss order for a sell position   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to sell      stoploss_price (float)   Returns: String syntax for the sell stop-loss order takeprofit_for_buy_order(License_ID, symbol, lot, target_price)   Places a take-profit order for a buy position   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to buy      target_price (float)   Returns: String syntax for the buy take-profit order takeprofit_for_sell_order(License_ID, symbol, lot, target_price)   Places a take-profit order for a sell position   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to sell      target_price (float)   Returns: String syntax for the sell take-profit order buy_stop_order(License_ID, symbol, lot, price)   Places a buy stop order above the current market price   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to buy      price (float) : Stop order price   Returns: String syntax for the buy stop order sell_stop_order(License_ID, symbol, lot, price)   Places a sell stop order below the current market price   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to sell      price (float) : Stop order price   Returns: String syntax for the sell stop order close_all_positions(License_ID, symbol)   Closes all positions for a specific symbol   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol   Returns: String syntax for closing all positions close_buy_positions(License_ID, symbol)   Closes all buy positions for a specific symbol   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol   Returns: String syntax for closing all buy positions close_sell_positions(License_ID, symbol)   Closes all sell positions for a specific symbol   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol   Returns: String syntax for closing all sell positions close_partial_buy_position(License_ID, symbol, lot)   Closes a partial buy position for a specific symbol   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to close   Returns: String syntax for closing a partial buy position close_partial_sell_position(License_ID, symbol, lot)   Closes a partial sell position for a specific symbol   Parameters:      License_ID (string) : Unique license ID of the user      symbol (string) : Trading symbol      lot (int) : Number of lots to close   Returns: String syntax for closing a partial sell position
Pine Script™脚本库
由garvthakurcom提供
Market Structure CHoCH/BOS (Fractal) [vandji]Explication de la stratégie Market Structure CHoCH/BOS (Fractal) Introduction La stratégie Market Structure CHoCH/BOS (Fractal) est conçue pour analyser les structures de marché en identifiant les changements de caractère (Change of Character - CHoCH) et les cassures de structure (Break of Structure - BOS) basées sur des fractales. Cette approche permet aux traders de repérer les renversements de tendance ainsi que la continuation de celle-ci à l'aide d'un outil visuel intuitif et de niveaux clés marqués directement sur le graphique. Fonctionnement de l'indicateur L'indicateur utilise des fractales pour identifier des points hauts et bas significatifs dans le marché. Ces points permettent de : Identifier les structures haussières (Bullish) : Une cassure d'un sommet fractal indique une continuation ou un renversement haussier. Des niveaux de support sont tracés pour repérer les zones où le prix peut rebondir. Identifier les structures baissières (Bearish) : Une cassure d'un bas fractal signale une continuation ou un renversement baissier. Des niveaux de résistance sont tracés pour surveiller les zones où le prix peut se retourner. L'indicateur utilise également des labels visuels tels que CHoCH et BOS : CHoCH (Change of Character) : Indique un changement de tendance. BOS (Break of Structure) : Confirme la continuation de la tendance. Visualisation des Niveaux Clés Support : Tracé lorsque la structure haussière est identifiée. Résistance : Tracée lorsque la structure baissière est détectée. Ces niveaux servent de repères pour placer des ordres ou évaluer la force de la tendance. Avantages Identification claire des tendances : Les CHoCH et BOS aident à distinguer les renversements des continuations. Zones clés définies : Les supports et résistances fractals donnent des points d'entrée ou de sortie potentiels. Convient aux styles variés de trading : Applicable pour le scalping, le day trading ou le swing trading. Exemple Visuel Graphique annoté L'image suivante illustre le fonctionnement de l'indicateur sur un graphique. Les sommets fractals haussiers et baissiers sont marqués. Les niveaux de support et de résistance sont dessinés. Les labels CHoCH et BOS indiquent des points importants de renversement ou de continuation.
Pine Script™指标
由djoutrou提供
Price Projection by Linear RegressionPurpose: This is a TradingView Pine Script indicator that performs a linear regression on historical price data to project potential future price levels. It's designed to help traders visualize long-term price trends and potential future price targets. Key Components: User Inputs: Historical Data Points (default 1000 bars) - The amount of historical data used to calculate the trend Years to Project (default 10 years) - How far into the future to project the price Technical Implementation: Uses linear regression (ta.linreg) to calculate the trend slope Converts years to trading days using 252 trading days per year Limits visible projection to 500 bars due to TradingView's drawing limitations Projects prices using the formula: current_price + (slope × number_of_bars) Visual Elements: Blue line showing actual historical prices Red projection line showing the expected price path Label showing the projected price at the visible end of the line Information table in the top-right corner showing: Current price Final projected price after the full time period Limitations: Can only display projections up to 500 bars into the future (about 2 years) due to TradingView limitations The full projection value is still calculated and shown in the table Past performance doesn't guarantee future results - this is a mathematical projection based on historical trends Usage: Traders can use this to: Visualize potential long-term price trends Set long-term price targets Understand the historical trend's trajectory Compare current prices with projected future values
Pine Script™指标
由kdbrewer提供