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My Custom IndicatorThis script implements a simple yet effective RSI-based trading strategy. It uses the Relative Strength Index (RSI) to generate buy and exit signals based on overbought and oversold conditions. How It Works: Buy Entry: When RSI crosses above 30 (indicating recovery from an oversold state). Exit: When RSI crosses below 70 (potential reversal from an overbought state). Plots the RSI line and key thresholds (30/70) directly on the chart. Designed for backtesting with TradingView’s strategy function. Features: Fully automated entry and exit logic Customizable RSI settings (just edit the code) Visual RSI plot and threshold lines Works on any asset or timeframe This strategy is suitable for trend-following or mean-reversion setups, and is best used in combination with other filters (like moving averages or price action patterns) for improved accuracy
Pine Script®指標
由MrAlex_17提供
Williams Fractals with Buy/Sell Signals🧠 Concept: This indicator is based on the concept of fractal swing highs and lows, commonly used in Bill Williams’ trading methods. A fractal forms when a candle’s high or low is higher/lower than a set number of candles on both sides. This structure helps identify local market turning points. ⚙️ Inputs: Fractal Sensitivity (swingSensitivity): Number of candles required on each side of the central bar to validate a fractal. For example, if set to 2, a swing high is detected when a bar’s high is higher than the previous 2 bars and the next 2 bars. ✅ Features: Fractal Detection: Plots white triangles above swing highs (down fractals). Plots white triangles below swing lows (up fractals). Buy/Sell Signals: Buy Signal: Triggered when the candle closes above the most recent down fractal. Sell Signal: Triggered when the candle closes below the most recent up fractal. Signals alternate — a Buy must follow a Sell and vice versa to reduce noise. Signal Labels: "BUY" label appears below the candle in green. "SELL" label appears above the candle in red. Alerts: Real-time alerts are available for both Buy and Sell signals via alertcondition(). 📌 Use Case: This indicator can help you: Detect short-term reversals. Confirm breakouts or structure shifts. Time entries with clear logic based on price action.
Pine Script®指標
由TradePro1000提供
Umile Indicatore – RSI + Stocastico + EMAs🔍 Overview: Multi-Signal Momentum Indicator This custom TradingView indicator is a comprehensive technical toolkit combining: RSI (Relative Strength Index) Stochastic Oscillator with volume filter Multi-period EMAs (Exponential Moving Averages) Customizable visual BUY/SELL signals It’s designed to detect potential momentum shifts, overbought/oversold conditions, and trend alignment, helping traders identify high-probability entries and exits based on layered confirmations. 🧠 Components Explained ✅ 1. RSI Logic Detects price momentum and potential reversal zones. Triggers a BUY signal when RSI crosses above a user-defined oversold level. Triggers a SELL signal when RSI crosses below an overbought threshold. You can choose the visual symbol (triangle, circle, or arrow) and set the color for each signal. ✅ 2. Stochastic Oscillator + Volume Filter Identifies turning points based on the relationship between %K and %D lines. Signals are only valid if: A crossover occurs (e.g., %K crosses above %D for a BUY) Price is in an extreme zone (below oversold or above overbought) Volume is above its moving average — to filter out weak signals. Also comes with symbol and color customization. ✅ 3. Exponential Moving Averages (EMAs) Plots multiple EMAs: 50, 100, 144, 200, 300, 500, 1000. These help assess trend strength and directional bias. You can toggle the visibility of EMAs if needed. ✅ 4. Visual & Style Customization Each signal type (RSI and Stochastic) allows: Selection of plot shape: triangle, circle, or arrow Custom BUY/SELL colors Levels like RSI/Stoch overbought and oversold zones are also plotted for reference. 🎯 How to Use It Look for confluence between RSI and Stochastic signals to validate entries. Use EMAs as trend filters — e.g., only take long signals when price is above EMA200. The volume filter on Stochastic helps reduce false signals in low-activity markets.
Pine Script®指標
由vytmar提供
Z-scored ZLEMA | OquantZ-Scored ZLEMA | Oquant This indicator combines the Zero-Lag Exponential Moving Average (ZLEMA) with Z-score normalization to present recent ZLEMA values relative to its mean. It helps users observe trend direction and momentum with reduced lag, while also highlighting potential overbought or oversold levels based on how far ZLEMA values deviate from their mean. 🧠 Concept Overview 📉 Zero Lag Exponential Moving Average (ZLEMA) The EMA is a popular tool that calculates an average price, but unlike a simple moving average, it gives more weight to recent prices. This means the EMA reacts faster to new price changes and is less affected by older data. However, even with this weighting, the EMA still introduces some lag. ZLEMA improves on the EMA by reducing this lag. It does this by adjusting how it accounts for previous prices, effectively "shifting" the data to better align the average with current market action. The result is an average that stays smooth but responds more quickly to real price changes—helping traders spot turning points or trend shifts earlier without being fooled by random noise. 📏 Z-score Normalization Once ZLEMA is calculated, the indicator applies Z-score normalization to measure how far the current ZLEMA value is from its mean. The Z-score expresses this difference using standard deviations, providing a clear, standardized scale. This helps highlight when price moves are unusually strong—either upward or downward—beyond normal fluctuations. 🔍 How This Indicator Works Smooth Price Data with ZLEMA The indicator begins by applying the Zero-Lag Exponential Moving Average (ZLEMA) to the chosen price data. Unlike a regular moving average, ZLEMA reduces the typical delay by adjusting the input data before averaging. It does this by "shifting" the price series to remove the lag caused by older prices. This way, ZLEMA stays smooth but reacts more quickly to recent price changes—helping the indicator follow market moves faster without being too noisy. Normalize ZLEMA values Using Z-score Once ZLEMA is calculated, the indicator applies Z-score normalization to measure how far the current ZLEMA value is from its mean. The Z-score expresses this difference in terms of standard deviations, creating a clear, standardized scale. This helps highlight when price moves are unusually strong—either up or down—beyond normal fluctuations. Set Signal Thresholds Two threshold levels are set on the Z-score scale—crossing above the upper threshold is considered a long (buy) signal, indicating bullish momentum, while crossing below the lower threshold is considered a short (sell) signal, indicating bearish momentum. Show Visual Signals on the Chart The Z-score and bars are plotted with colors: green when Z-score is above the bullish threshold, purple when Z-score is below the bearish threshold. ⚙️ Customizable Inputs Source: Choose the price source (close, open, etc.) for calculations. ZLEMA Length: Adjust the ZLEMA length to control smoothness versus responsiveness. Z-score period: Set the Z-score period to define how far back the indicator measures normal price behavior. Thresholds: Adjust the upper and lower thresholds to control how sensitive the indicator is to strong momentum changes. 📈 Practical Use This indicator helps identify trend directions and changes faster by combining ZLEMA with statistical analysis. It highlights when price moves are stronger than normal, making it easier to spot early signs of momentum shifts. Traders can use it to confirm trends or detect potential reversals with more timely signals. 🔔 Alert Support This indicator includes optional built-in alert conditions that notify you when the Z-score crosses above the bullish threshold (long signal) or below the bearish threshold (short signal). You can enable these alerts to get timely updates on potential momentum shifts without constantly watching the chart. ⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Pine Script®指標
由oquant提供
EMA 9 vs EMA 150 Cross Indicator//@version=5 indicator("EMA 9 vs EMA 150 Cross Indicator", overlay=true) // Input EMAs shortEmaLen = input.int(9, title="Short EMA (Fast)") longEmaLen = input.int(150, title="Long EMA (Slow)") // Calculate EMAs emaShort = ta.ema(close, shortEmaLen) emaLong = ta.ema(close, longEmaLen) // Detect Crosses bullishCross = ta.crossover(emaShort, emaLong) bearishCross = ta.crossunder(emaShort, emaLong) // Plot EMAs plot(emaShort, title="EMA 9", color=color.gray) emaColor = emaShort > emaLong ? color.green : color.red plot(emaLong, title="EMA 150", color=emaColor, linewidth=2) // Plot Arrows plotshape(bullishCross, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.small) plotshape(bearishCross, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.small)
Pine Script®指標
由thought_eng提供
BG CloseCandleThis simple yet effective strategy script allows you to schedule automated entries (Buy or Sell) at three customizable times throughout the trading day. Each session can be individually enabled, with its own execution time and trade direction. You can define: • Entry time (Hour & Minute) for each session • Whether each session should execute a Buy or a Sell order • Your preferred Take Profit and Stop Loss levels (in ticks) • Lot size per order The strategy is designed specifically for the 1-minute timeframe, offering the most precise execution of time-based entries. It resets automatically each day and limits the number of trades to a maximum of three per session. 📌 I personally use this strategy on the Nasdaq 100 E-mini Futures (NQ) for intraday setups and session-based candle closes. Perfect for testing market behavior at defined moments — ideal for overnight, premarket, or close-of-candle strategies. Thank you for your interest, and wishing you profitable trading
Pine Script®策略
由babtrader24提供
EMA 9 & 150 Cross Arrow//@version=5 indicator("EMA 9 & 150 Cross Arrow", overlay=true) // Input EMAs emaShort = ta.ema(close, 9) emaLong = ta.ema(close, 150) // Detect Crosses bullishCross = ta.crossover(emaShort, emaLong) bearishCross = ta.crossunder(emaShort, emaLong) // Plot EMAs plot(emaShort, color=color.green, title="EMA 9") plot(emaLong, color=color.red, title="EMA 150") // Plot Arrows plotshape(bullishCross, title="Bullish Cross", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.small) plotshape(bearishCross, title="Bearish Cross", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.small)
Pine Script®指標
由thought_eng提供
X HL QA market structure tool designed to frame price action within a defined context of prior session dynamics. It accomplishes this by anchoring a set of reference levels to the high, low, and open prices of a user-specified higher timeframe (e.g., 4H, 1D, etc.) and projecting those levels onto the current chart for ongoing analysis. At its core, the indicator establishes a reference range—derived from the previous completed instance of the selected timeframe—and overlays this on the current timeframe. This range serves as a foundational structure for price interpretation in the current session. Building upon this framework, the script constructs a set of symmetrical quadrants (or deviation zones) both inside and outside of the prior range. These include: The midpoint (EQ) of the prior range Levels at ±0.25x, ±0.75x, ±1.0x, ±1.5x, and ±2.0x the range height These levels act as contextual zones that traders can use to interpret price behavior—whether it's consolidating within the prior range, approaching fair value (EQ), or expanding into directional continuation or reversal zones beyond the range. The script operates in both real-time and historical contexts. On live bars, it dynamically updates the key levels to provide an evolving view of current price positioning. Simultaneously, it supports the display of historical levels for past sessions, enabling robust backtesting and comparative analysis of price behavior relative to previous quadrant structures. Ultimately, this tool serves as a positional map, helping traders assess where price is trading relative to significant levels from the prior session, offering insights into potential support/resistance, overextension, or mean reversion scenarios. Key Technical Features Multi-Timeframe Support: request.security() is used to pull data from a user-defined higher timeframe regardless of the current chart interval. Visual Flexibility: Toggle between "line" and "channel" mode. Line color, width, and visibility are all user-controlled. Anchoring Options: Deviation levels can be calculated from either the previous period's open or its EQ (midpoint), giving flexibility depending on analytical preference. Efficient Labeling: Labels are only rendered on the last bar and are automatically cleared and redrawn to prevent duplication. Label style, size, text color, and background color are all user-configurable. Trading Application This indicator is especially suited for: 1. Mean Reversion Strategies When price moves beyond +1.0 or +1.5 deviations from the EQ or open, it may signal overextension and a potential snap back to the midpoint or range. 2. Breakout Confirmation Sustained price action beyond ±1.0 levels may indicate trend strength or continuation beyond historical balance zones. 3. Contextual Range Awareness EQ and Open provide structure from which traders can judge whether price is in a state of balance or imbalance. Labels offer at-a-glance interpretation of key levels across any chosen timeframe. 4. Fractal and Multi-Session Analysis Analysts can layer daily, weekly, and monthly versions of this indicator to observe confluence or divergence of higher timeframe structure.
Pine Script®指標
由KinetiCapital提供