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Strong Bullish & Bearish Candle LabelsThis Pine Script highlights strong bullish and strong bearish candles on a price chart using labels, helping traders visually identify momentum-driven candles and avoid market noise. How It Works: 1. Candle Strength Calculation It calculates the body size of a candle: |close - open| It calculates the total range of the candle: high - low Then it computes the body-to-range ratio: Pine script Copy Edit bodyRatio = body / (high - low) This ratio measures how much of the candle is body vs. wick. 2. Filtering Logic The script only labels candles where the body is large enough compared to the total range (i.e., a strong move). You can adjust how strict this is using the bodyThreshold input (default = 0.6): If bodyRatio >= 0.6, it's considered "strong" 3. Labeling Candles Bullish Candle: close > open and strong body → label below the candle with "Bullish" in green. Bearish Candle: close < open and strong body → label above the candle with "Bearish" in red. Inputs: Body-to-Range Ratio Threshold: Controls how "strong" a candle must be to get a label. Increase for stricter filtering. Visual Output: Labels appear below bullish candles and above bearish candles to avoid cluttering the chart. Color-coded for easy identification: Green for bullish Red for bearish
Pine Script® indicator
by STEEL-CITY-CREATORS
Triad RotationHey guys, this is the first indicator I've created. I have done some selective testing to validate the calculations against the FullStochastic indicators using the same settings. From my review it looks to match correctly, but please do your own due diligence to verify this indicator matches your needs and strategy. This indicator was designed closely with the Quad rotation strategy, where you use multiple stochastic indicators to identify overbought and oversold conditions. Once all the stochastics are determined to be over/under the overbought/oversold threshold, the section will be highlighted red or green based on which condition is met. Green indicates a potential period to buy, and red indicates a potential period to sell. P.S. I pair this with the MACD indicator to determine momentum of to aid in determining entry and exits, along with support and resistance levels. Thus far, I am an unprofitable trader, so this strategy may change. Again do your own due diligence to design a strategy that works for you.
Pine Script® indicator
by EmberJaxx77
1
Mariam Market DashboardMariam Market Dashboard – A Quick Guide Purpose: Shows if the market is trending, volatile, or stuck so you can decide when to trade or wait. How to Use Add the indicator to your chart. Adjust basic settings like EMA, RSI, ATR lengths, and timezone if needed. Use it before entering any trade to confirm market conditions. What Each Metric Means (with general ranges) Session: Identifies which market session is active (New York, London, Tokyo). Trend: Shows current market direction. “Up” means price above EMA and VWAP, “Down” means price below. Use this to confirm bullish or bearish bias. HTF Trend: Confirms trend on a higher timeframe for stronger signals. ATR (Average True Range): Measures market volatility or price movement speed. Low ATR (e.g., below 0.5% of price) means quiet or slow market; high ATR (above 1% of price) means volatile or fast-moving market, good for active trades. Strong Bar: A candlestick closing near its high (above 75% of range) indicates strong buying momentum; closing near its low indicates strong selling momentum. Higher Volume: Volume higher than average (typically 10-20% above normal) means more market activity and stronger moves. Volume / Avg Volume: Ratio above 1.2 (120%) shows volume is significantly higher than usual, signaling strong interest. RVol % (Relative Volume %): Above 100% means volume is hotter than normal, increasing chances of strong moves; below 50% means low activity and possible indecision. Delta: Difference between buying and selling volume (if available). A positive delta means buyers dominate; negative means sellers dominate. ADX (Average Directional Index): Measures trend strength: Below 20 means weak or no trend; Above 25 means strong trend; Between 20-25 is moderate trend. RSI (Relative Strength Index): Momentum oscillator: Below 30 = oversold (potential buy); Above 70 = overbought (potential sell); Between 40-60 means neutral momentum. MACD: Confirms momentum direction: Positive MACD histogram bars indicate bullish momentum; Negative bars indicate bearish momentum. Choppiness Index: Measures how much the market is ranging versus trending: Above 60 = very choppy/sideways market; Below 40 = trending market. Consolidation: When true, price is stuck in a narrow range, signaling indecision. Avoid breakout trades during this. Quick Trading Reminder Trade only when the trend is clear and volume is above average. Avoid trading in low volume or choppy markets.
Pine Script® indicator
by alghamdi_meriam
ALMA Trend-boxThis indicator uses the ALMA (Arnaud Legoux Moving Average) – a special type of moving average that provides a smoother and more responsive trend line. Based on the slope (angle) of the ALMA line and the price position relative to it, the indicator: Colors candles in three different ways (to reflect market structure), Plots the ALMA line on the chart, Detects consolidation and highlights it with blue candles, background shading, and horizontal "box" lines. 📘 Candle Colors – How to Interpret Them Candle Color Meaning Interpretation 🟩 Green Uptrend ALMA is sloping upward and price is above ALMA – look for buying opportunities. 🟥 Red Downtrend ALMA is sloping downward and price is below ALMA – look for selling opportunities. 🔵 Blue Sideways (Consolidation) Weak or neutral trend – market is moving sideways or accumulating. 🔵 What Do Blue Candles and the “Trend-box” Mean? Blue candles represent consolidation periods, which occur when: The slope of the ALMA line is less than ±40°, indicating a lack of strong trend, The price behavior is not consistent with the direction of the slope (e.g., price is below ALMA even though ALMA is pointing upward). During this time: Blue candles and a blue background appear to visually highlight the consolidation, Two dashed horizontal lines (a “box”) are drawn at the high and low of the consolidation range. 📌 The Trend-box helps you visually spot ranging markets, which often precede strong breakouts. 📈 How to Use This Indicator in Practice Trend Following Strategy: When candles are green → consider long trades. When candles are red → consider short trades. Use additional indicators (like RSI, MACD, or volume) to confirm entries. Breakout Trading: When blue candles and the box appear, wait for the price to: Break above the box → potential long breakout. Break below the box → potential short breakout. You can set pending orders (buy stop/sell stop) just outside the box range. Avoiding Choppy Entries: Blue candles signal uncertainty – avoid entering impulsively during this time. Wait for trend confirmation. ⚙️ Adjustable Settings ALMA Length – controls how quickly the moving average reacts. Slope Threshold – determines the minimum angle required to define a trend. Candle Colors – fully customizable (green/red/blue by default). ✅ Conclusion ALMA Trend-box is a powerful visual tool for identifying: Trending conditions (bullish or bearish), Sideways markets (consolidation), Breakout setups with clearly marked zones. It works well on its own or as part of a larger trading system. Blue candles tell you to be patient, while transitions into green/red candles indicate developing trends.
Pine Script® indicator
by Aleksin_Aleksandar
40 Ticker Cross-Sectional Z-Scores [BackQuant]40 Ticker Cross-Sectional Z-Scores BackQuant’s 40 Ticker Cross-Sectional Z-Scores is a powerful portfolio management strategy that analyzes the relative performance of up to 40 different assets, comparing them on a cross-sectional basis to identify the top and bottom performers. This indicator computes Z-scores for each asset based on their log returns and evaluates them relative to the mean and standard deviation over a rolling window. The Z-scores represent how far an asset's return deviates from the average, and these values are used to rank the assets, allowing for dynamic asset allocation based on performance. By focusing on the strongest-performing assets and avoiding the weakest, this strategy aims to enhance returns while managing risk. Additionally, by adjusting for standard deviations, the system offers a risk-adjusted method of ranking assets, making it suitable for traders who want to dynamically allocate capital based on performance metrics rather than just price movements. Key Features 1. Cross-Sectional Z-Score Calculation: The system calculates Z-scores for 40 different assets, evaluating their log returns against the mean and standard deviation over a rolling window. This enables users to assess the relative performance of each asset dynamically, highlighting which assets are performing better or worse compared to their historical norms. The Z-score is a useful statistical tool for identifying outliers in asset performance. 2. Asset Ranking and Allocation: The system ranks assets based on their Z-scores and allocates capital to the top performers. It identifies the top and bottom assets, and traders can allocate capital to the top-performing assets, ensuring that their portfolio is aligned with the best performers. Conversely, the bottom assets are removed from the portfolio, reducing exposure to underperforming assets. 3. Rolling Window for Mean and Standard Deviation Calculations: The Z-scores are calculated based on rolling means and standard deviations, making the system adaptive to changing market conditions. This rolling calculation window allows the strategy to adjust to recent performance trends and minimize the impact of outdated data. 4. Mean and Standard Deviation Visualization: The script provides real-time visualizations of the mean (x̄) and standard deviation (σ) of asset returns, helping traders quickly identify trends and volatility in their portfolio. These visual indicators are useful for understanding the current market environment and making more informed allocation decisions. 5. Top & Bottom Performer Tables: The system generates tables that display the top and bottom performers, ranked by their Z-scores. Traders can quickly see which assets are outperforming and underperforming. These tables provide clear and actionable insights, helping traders make informed decisions about which assets to include in their portfolio. 6. Customizable Parameters: The strategy allows traders to customize several key parameters, including: Rolling Calculation Window: Set the window size for the rolling mean and standard deviation calculations. Top & Bottom Tickers: Choose how many of the top and bottom assets to display and allocate capital to. Table Orientation: Select between vertical or horizontal table formats to suit the user’s preference. 7. Forward Test & Out-of-Sample Testing: The system includes out-of-sample forward tests, ensuring that the strategy is evaluated based on real-time performance, not just historical data. This forward testing approach helps validate the robustness of the strategy in dynamic market conditions. 8. Visual Feedback and Alerts: The system provides visual feedback on the current asset rankings and allocations, with dynamic labels and plots on the chart. Additionally, users receive alerts when allocations change, keeping them informed of important adjustments. 9. Risk Management via Z-Scores and Std Dev: The system’s approach to asset selection is based on Z-scores, which normalize performance relative to the historical mean. By incorporating standard deviation, it accounts for the volatility and risk associated with each asset. This allows for more precise risk management and portfolio construction. 10. Note on Mean Reversion Strategy: If you take the inverse of the signals provided by this indicator, the strategy can be used for mean-reversion rather than trend-following. This would involve buying the underperforming assets and selling the outperforming ones. However, it's important to note that this approach does not work well with highly correlated assets, as the relationship between the assets could result in the same directional movement, undermining the effectiveness of the mean-reversion strategy. References www.uts.edu.au onlinelibrary.wiley.com www.cmegroup.com Final Thoughts The 40 Ticker Cross-Sectional Z-Scores strategy offers a data-driven approach to portfolio management, dynamically allocating capital based on the relative performance of assets. By using Z-scores and standard deviations, this strategy ensures that capital is directed to the strongest performers while avoiding weaker assets, ultimately improving the risk-adjusted returns of the portfolio. Whether you’re focused on trend-following or looking to explore mean-reversion strategies, this flexible system can be tailored to suit your investment goals.
Pine Script® indicator
by BackQuant
Performance Metrics With Bracketed Rebalacing [BackQuant]Performance Metrics With Bracketed Rebalancing The Performance Metrics With Bracketed Rebalancing script offers a robust method for assessing portfolio performance, integrating advanced portfolio metrics with different rebalancing strategies. With a focus on adaptability, the script allows traders to monitor and adjust portfolio weights, equity, and other key financial metrics dynamically. This script provides a versatile approach for evaluating different trading strategies, considering factors like risk-adjusted returns, volatility, and the impact of portfolio rebalancing. Please take the time to read the following: Key Features and Benefits of Portfolio Methods Bracketed Rebalancing: Bracketed Rebalancing is an advanced strategy designed to trigger portfolio adjustments when an asset's weight surpasses a predefined threshold. This approach minimizes overexposure to any single asset while maintaining flexibility in response to market changes. The strategy is particularly beneficial for mitigating risks that arise from significant asset weight fluctuations. The following image illustrates how this method reacts when asset weights cross the threshold: Daily Rebalancing: Unlike the bracketed method, Daily Rebalancing adjusts portfolio weights every trading day, ensuring consistent asset allocation. This method aims for a more even distribution of portfolio weights, making it a suitable option for traders who prefer less sensitivity to individual asset volatility. Here's an example of Daily Rebalancing in action: No Rebalancing: For traders who prefer a passive approach, the "No Rebalancing" option allows the portfolio to remain static, without any adjustments to asset weights. This method may appeal to long-term investors or those who believe in the inherent stability of their selected assets. Here’s how the portfolio looks when no rebalancing is applied: Portfolio Weights Visualization: One of the standout features of this script is the visual representation of portfolio weights. With adjustable settings, users can track the current allocation of assets in real-time, making it easier to analyze shifts and trends. The following image shows the real-time weight distribution across three assets: Rolling Drawdown Plot: Managing drawdown risk is a critical aspect of portfolio management. The Rolling Drawdown Plot visually tracks the drawdown over time, helping traders monitor the risk exposure and performance relative to the peak equity levels. This feature is essential for assessing the portfolio's resilience during market downturns: Daily Portfolio Returns: Tracking daily returns is crucial for evaluating the short-term performance of the portfolio. The script allows users to plot daily portfolio returns to gain insights into daily profit or loss, helping traders stay updated on their portfolio’s progress: Performance Metrics Net Profit (%): This metric represents the total return on investment as a percentage of the initial capital. A positive net profit indicates that the portfolio has gained value over the evaluation period, while a negative value suggests a loss. It's a fundamental indicator of overall portfolio performance. Maximum Drawdown (Max DD): Maximum Drawdown measures the largest peak-to-trough decline in portfolio value during a specified period. It quantifies the most significant loss an investor would have experienced if they had invested at the highest point and sold at the lowest point within the timeframe. A smaller Max DD indicates better risk management and less exposure to significant losses. Annual Mean Returns (% p/y): This metric calculates the average annual return of the portfolio over the evaluation period. It provides insight into the portfolio's ability to generate returns on an annual basis, aiding in performance comparison with other investment opportunities. Annual Standard Deviation of Returns (% p/y): This measure indicates the volatility of the portfolio's returns on an annual basis. A higher standard deviation signifies greater variability in returns, implying higher risk, while a lower value suggests more stable returns. Variance: Variance is the square of the standard deviation and provides a measure of the dispersion of returns. It helps in understanding the degree of risk associated with the portfolio's returns. Sortino Ratio: The Sortino Ratio is a variation of the Sharpe Ratio that only considers downside risk, focusing on negative volatility. It is calculated as the difference between the portfolio's return and the minimum acceptable return (MAR), divided by the downside deviation. A higher Sortino Ratio indicates better risk-adjusted performance, emphasizing the importance of avoiding negative returns. Sharpe Ratio: The Sharpe Ratio measures the portfolio's excess return per unit of total risk, as represented by standard deviation. It is calculated by subtracting the risk-free rate from the portfolio's return and dividing by the standard deviation of the portfolio's excess return. A higher Sharpe Ratio indicates more favorable risk-adjusted returns. Omega Ratio: The Omega Ratio evaluates the probability of achieving returns above a certain threshold relative to the probability of experiencing returns below that threshold. It is calculated by dividing the cumulative probability of positive returns by the cumulative probability of negative returns. An Omega Ratio greater than 1 indicates a higher likelihood of achieving favorable returns. Gain-to-Pain Ratio: The Gain-to-Pain Ratio measures the return per unit of risk, focusing on the magnitude of gains relative to the severity of losses. It is calculated by dividing the total gains by the total losses experienced during the evaluation period. A higher ratio suggests a more favorable balance between reward and risk. www.linkedin.com Compound Annual Growth Rate (CAGR) (% p/y): CAGR represents the mean annual growth rate of the portfolio over a specified period, assuming the investment has been compounding over that time. It provides a smoothed annual rate of growth, eliminating the effects of volatility and offering a clearer picture of long-term performance. Portfolio Alpha (% p/y): Portfolio Alpha measures the portfolio's performance relative to a benchmark index, adjusting for risk. It is calculated using the Capital Asset Pricing Model (CAPM) and represents the excess return of the portfolio over the expected return based on its beta and the benchmark's performance. A positive alpha indicates outperformance, while a negative alpha suggests underperformance. Portfolio Beta: Portfolio Beta assesses the portfolio's sensitivity to market movements, indicating its exposure to systematic risk. A beta greater than 1 suggests the portfolio is more volatile than the market, while a beta less than 1 indicates lower volatility. Beta is used to understand the portfolio's potential for gains or losses in relation to market fluctuations. Skewness of Returns: Skewness measures the asymmetry of the return distribution. A positive skew indicates a distribution with a long right tail, suggesting more frequent small losses and fewer large gains. A negative skew indicates a long left tail, implying more frequent small gains and fewer large losses. Understanding skewness helps in assessing the likelihood of extreme outcomes. Value at Risk (VaR) 95th Percentile: VaR at the 95th percentile estimates the maximum potential loss over a specified period, given a 95% confidence level. It provides a threshold value such that there is a 95% probability that the portfolio will not experience a loss greater than this amount. Conditional Value at Risk (CVaR): CVaR, also known as Expected Shortfall, measures the average loss exceeding the VaR threshold. It provides insight into the tail risk of the portfolio, indicating the expected loss in the worst-case scenarios beyond the VaR level. These metrics collectively offer a comprehensive view of the portfolio's performance, risk exposure, and efficiency. By analyzing these indicators, investors can make informed decisions, balancing potential returns with acceptable levels of risk. Conclusion The Performance Metrics With Bracketed Rebalancing script provides a comprehensive framework for evaluating and optimizing portfolio performance. By integrating advanced metrics, adaptive rebalancing strategies, and visual analytics, it empowers traders to make informed decisions in managing their investment portfolios. However, it's crucial to consider the implications of rebalancing strategies, as academic research indicates that predictable rebalancing can lead to market impact costs. Therefore, adopting flexible and less predictable rebalancing approaches may enhance portfolio performance and reduce associated costs.
Pine Script® indicator
by BackQuant
Price Imbalance Flow Tracker📊 PIFT: Price Imbalance Flow Tracker At first glance, PIFT might look like a standard Bollinger Band overlay slapped on a few moving averages… It’s not. Every part of this system is custom-tuned: - The envelopes aren’t based on standard deviation—they’re built from smoothed price structure using average candle range. - There’s no central mean reversion assumption—bands don’t just expand and contract randomly; they flip in and out of dominance based on trend control. - The MA lengths (25/50/100) are deliberately chosen to sync with RIFT’s RSI layers, following a proprietary ratio rooted in how momentum and structure align over time. - It may resemble Bollinger Bands from a distance, but this is a bespoke trend envelope engine, built for clarity, control, and confluence—not statistical noise. A precision envelope engine for price action that mirrors RIFT’s RSI logic—because momentum and structure should speak the same language. PIFT tracks trend dominance directly on the price chart using layered moving average envelopes and dynamic fill logic. Together with my other indicator called RIFT (Relative Imbalance Flow Tracker), it forms a two-part confluence system: - RIFT shows who’s winning the momentum battle. - PIFT shows who’s controlling price structure. - Use them side by side to spot false moves, real breakouts, and trend exhaustion with confidence. 🧠 How It Works PIFT plots three WMA-based moving averages: 🔹 25 WMA = fast reaction line 🔸 50 WMA = medium-term trend 🟣 100 WMA = long-term structural flow Each MA gets a fixed-width envelope based on average candle range (not percent of price), so bands stay visually consistent across timeframes. Then the script checks envelope dominance: - If the fast band extends beyond the others → it glows. - If not → it fades out to reduce clutter. 🎨 Color Logic 🔴 Upper Band (Red) = Overextended uptrend 🟢 Lower Band (Green) = Oversold or trending support zone 🔍 How to Read It 🔴 Red envelope dominates but price slows? = Uptrend stalling 🟢 Green envelope dominates + candles cluster near band? = Watch for bounce ✅ Fast band flips dominance = Potential breakout or reversal ⚙️ Why It’s Useful - See when price is actually leading, not just floating between MAs - Avoid choppy MA crosses and use envelope shape and fills to understand context - Watch for volatility compression before major shifts - Use with RIFT to spot momentum/price mismatches and false moves 🔗 Works Best With: RIFT - PIFT is the price-side partner to RIFT. When both show dominance in the same direction, confidence increases. - When one flips but the other doesn't? You're looking at either early momentum divergence (RIFT) or a structural fakeout (PIFT). Either way: you’re ahead of the candles.
Pine Script® indicator
by Sherlock_MacGyver
Wavelet Filter with Adaptive Upsampling [BackQuant]Wavelet Filter with Adaptive Upsampling The Wavelet Filter with Adaptive Upsampling is an advanced filtering and signal reconstruction tool designed to enhance the analysis of financial time series data. It combines wavelet transforms with adaptive upsampling techniques to filter and reconstruct price data, making it ideal for capturing subtle market movements and enhancing trend detection. This system uses high-pass and low-pass filters to decompose the price series into different frequency components, applying adaptive thresholding to eliminate noise and preserve relevant signal information. Shout out to Loxx for the Least Squares fitting of trigonometric series and Quinn and Fernandes algorithm for finding frequency www.tradingview.com Key Features 1. Frequency Decomposition with High-Pass and Low-Pass Filters: The indicator decomposes the input time series using high-pass and low-pass filters to separate the high-frequency (detail) and low-frequency (trend) components of the data. This decomposition allows for a more accurate analysis of underlying trends, while mitigating the impact of noise. 2. Soft Thresholding for Noise Reduction: A soft thresholding function is applied to the high-frequency component, allowing for the reduction of noise while retaining significant market signals. This function adjusts the coefficients of the high-frequency data, removing small fluctuations and leaving only the essential price movements. 3. Adaptive Upsampling Process: The upsampling process in this script can be customized using different methods: sinusoidal upsampling, advanced upsampling, and simple upsampling. Each method serves a unique purpose: Sinusoidal Upsample uses a sine wave to interpolate between data points, providing a smooth transition. Advanced Upsample utilizes a Quinn-Fernandes algorithm to estimate frequency and apply more sophisticated interpolation techniques, adapting to the market’s cyclical behavior. Simple Upsample linearly interpolates between data points, providing a basic upsampling technique for less complex analysis. 4. Reconstruction of Filtered Signal: The indicator reconstructs the filtered signal by summing the high and low-frequency components after upsampling. This allows for a detailed yet smooth representation of the original time series, which can be used for analyzing underlying trends in the market. 5. Visualization of Reconstructed Data: The reconstructed series is plotted, showing how the upsampling and filtering process enhances the clarity of the price movements. Additionally, the script provides the option to visualize the log returns of the reconstructed series as a histogram, with positive returns shown in green and negative returns in red. 6. Cumulative Series and Trend Detection: A cumulative series is plotted to visualize the compounded effect of the filtered and reconstructed data. This feature helps traders track the overall performance of the asset over time, identifying whether the asset is following a sustained upward or downward trend. 7. Adaptive Thresholding and Noise Estimation: The system estimates the noise level in the high-frequency component and applies an adaptive thresholding process based on the standard deviation of the downsampled data. This ensures that only significant price movements are retained, further refining the trend analysis. 8. Customizable Parameters for Flexibility: Users can customize the following parameters to adjust the behavior of the indicator: Frequency and Phase Shift: Control the periodicity of the wavelet transformation and the phase of the upsampling function. Upsample Factor: Adjust the level of interpolation applied during the upsampling process. Smoothing Period: Determine the length of time used to smooth the signal, helping to filter out short-term fluctuations. References Enhancing Cross-Sectional Currency Strategies with Context-Aware Learning to Rank arxiv.org Daubechies Wavelet - Wikipedia en.wikipedia.org Quinn Fernandes Fourier Transform of Filtered Price by Loxx Note on Usage for Mean-Reversion Strategy This indicator is primarily designed for trend-following strategies. However, by taking the inverse of the signals, it can be adapted for mean-reversion strategies. This involves buying underperforming assets and selling outperforming ones. Caution: This method may not work effectively with highly correlated assets, as the price movements between correlated assets tend to mirror each other, limiting the effectiveness of mean-reversion strategies. Final Thoughts The Wavelet Filter with Adaptive Upsampling is a powerful tool for traders seeking to improve their understanding of market trends and noise. By using advanced wavelet decomposition and adaptive upsampling, this system offers a clearer, more refined picture of price movements, enhancing trend-following strategies. It’s particularly useful for detecting subtle shifts in market momentum and reconstructing price data in a way that removes noise, providing more accurate insights into market conditions.
Pine Script® indicator
by BackQuant
Mean Absolute Deviation Trend | Lyro RSMean Absolute Deviation Trend Introduction Mean Absolute Deviation (MAD) Trend is a precision tool designed to capture directional bias using the Mean Absolute Deviation from a dynamic moving average. It identifies trend shifts by measuring average volatility around price, highlighting bullish and bearish phases through adaptive bands. Signal Insight The 𝓜𝓐𝓓 𝓣𝓻𝓮𝓷𝓭 plots a dynamic bands around a user-defined moving average, using Mean Absolute Deviation (MAD) to reflect volatility-adjusted boundaries. A bullish signal is generated when price breaks above the upper MAD band—indicating positive momentum and potential trend continuation to the upside. A bearish signal occurs when price falls below the lower MAD band—signaling increased downside pressure and possible trend continuation to the downside. This approach gives traders a volatility-sensitive trend filter that can enhance signal quality across different market environments. Real-World Example 𝓜𝓐𝓓 𝓣𝓻𝓮𝓷𝓭 delivers a clear and timely long signal, capturing a +22.90% move. Upon exit, it seamlessly flips to a short position, securing an additional +13.34% —demonstrating its strength in both trending directions. Framework The 𝓜𝓐𝓓 𝓣𝓻𝓮𝓷𝓭 indicator identifies directional shifts by measuring price deviation from a dynamic moving average. At its core, it calculates the Mean Absolute Deviation (MAD) of price around a user-selected moving average. The indicator builds adaptive upper and lower bands by multiplying the MAD value above and below the moving average. When price crosses above the upper band, it triggers a bullish signal. When price crosses below the lower band, it signals bearish momentum which gives a bearish signal. This method provides an elegant balance between volatility sensitivity and trend clarity, adapting in real-time to changing market behavior. The moving average type and band sensitivity can be tuned to fit various strategies—from scalping to swing trading. Recommended Settings Long-Term Investing: 1D, EMA, 40, 2 Mid-Term Investing: 1D, Default Settings Swing Trading: 4h, EMA, 20, 2.5 Day/Intraday Trading: 15mins, 25, 2.5 ⚠️ WARNING ⚠️: THIS INDICATOR, OR ANY OTHER WE (LYRO RS) PUBLISH, IS NOT FINANCIAL OR INVESTMENT ADVICE. EVERY INDICATOR SHOULD BE COMBINED WITH PRICE ACTION, FUNDAMENTALS, OTHER TECHNICAL ANALYSIS TOOLS & PROPER RISK. MANAGEMENT.
Pine Script® indicator
by LyroRS
Pattern + Supertrend + Stoch RSI Signals**Strategy Description: Pattern + Supertrend + Stochastic RSI Filter** This trading strategy combines three robust technical analysis methods to generate high-quality trade signals: ### 1. **Candlestick Patterns** The script detects classic reversal patterns including: * **Hammer** (bullish reversal) * **Shooting Star** (bearish reversal) * **Bullish Engulfing** * **Bearish Engulfing** * **Morning Star** (bullish reversal) * **Evening Star** (bearish reversal) These patterns are only valid when they occur in the direction of the prevailing trend confirmed by Supertrend. ### 2. **Supertrend Filter** Supertrend acts as a trend filter: * Only **long trades** are taken when Supertrend is **bullish**. * Only **short trades** are taken when Supertrend is **bearish**. This ensures that trades are not taken against the major market direction. ### 3. **Stochastic RSI Confirmation** To refine entries, the strategy adds an oscillator-based filter: * **Overbought (>80)** and **Oversold (<20)** zones must be met. * A **Stochastic RSI crossover** is required: * %K crossing above %D when oversold (for longs) * %K crossing below %D when overbought (for shorts) This helps in capturing entries only when momentum is likely to reverse, avoiding low-quality signals in flat markets. ### Trade Signals: A trade signal is generated only when all three conditions are met: 1. A recognized candlestick pattern appears. 2. The Supertrend confirms the trade direction. 3. The Stochastic RSI confirms a crossover in overbought or oversold conditions. This layered filtering system reduces false signals and focuses on higher-probability trade setups that align with trend and momentum. **Use case:** Best suited for swing trading or intraday setups where market context and timing are crucial. **Timeframes:** Works on multiple timeframes but performs better on 15m, 1H, or 4H for more reliable patterns and trend behavior.
Pine Script® indicator
by rvsoriano056
OBV PanelOBV Panel – Volume-Based Price Prediction & Signal Dashboard Powered by Pine Script v6 🔍 Overview This multi-functional indicator is designed around the On-Balance Volume (OBV) concept, enhancing it with prediction models, trend tracking, and actionable buy/sell signals. It uses a combination of real-time OBV movement, smoothed OBV with EMA, and linear regression-based OBV forecasts to deliver both intraday and weekly insights — all neatly displayed in a table panel and directly plotted on your chart. ⚙️ Core Components 📌 1. OBV Core OBV is calculated based on volume flowing into or out of a stock as price moves up or down. Tracks raw OBV and its EMA (Exponential Moving Average) for smoother trend reading. Computes a Predicted OBV using Linear Regression (ta.linreg) over a user-defined number of bars. 🔮 2. Predicted Price Forecast Uses OBV percentage changes combined with a user-set sensitivity factor to project next day’s expected price. Offers an AI-style price forecast based on OBV strength, not just price action. 💹 3. Buy/Sell Signal Logic Daily Signals: Triggered when OBV, OBV EMA, and Predicted OBV all move upward or downward from the previous day. Weekly Signals: Based on EMA changes over a 5-bar period (approx. 1 week). Signal markers are drawn on the chart for visual reference. 📊 Table Panel (Top-Right Overlay) A detailed visual panel shows: Metric Description OBV, OBV EMA, Predicted OBV From previous close to current value OBV - Predicted OBV Difference In lakhs (scaled for readability) % Change Stats Daily percentage change in OBV, EMA, and Predicted OBV Weekly OBV EMA Change Actual & % change over 5 bars Signal Summary BUY/SELL or HOLD based on logic OBV Dominance Whether OBV > EMA and Predicted OBV Predicted Price (Next Day) Based on OBV dynamics and sensitivity
Pine Script® indicator
by raghavprakash05
Improved Stoch RSI + Supertrend Filter**Script Description: Improved Stoch RSI + Supertrend Filter** This custom TradingView indicator combines two powerful tools—Stochastic RSI and Supertrend—to generate high-probability trade signals. It is designed for traders who prefer clear, filtered entries based on momentum and trend direction. ### Core Logic: 1. **Stochastic RSI Crossovers:** * The indicator calculates a smoothed Stochastic RSI using user-defined lengths and smoothing parameters. * Signals are only considered when a %K/%D crossover happens in extreme zones: * **Bullish signal**: %K crosses above %D in the **oversold** zone. * **Bearish signal**: %K crosses below %D in the **overbought** zone. 2. **Supertrend Filter:** * The Supertrend indicator, based on ATR, filters trades by confirming the overall trend. * Only **bullish crossovers** are signaled when the Supertrend is green (uptrend). * Only **bearish crossovers** are signaled when the Supertrend is red (downtrend). ### Entry Conditions: * **Long Entry:** * %K crosses above %D in the oversold zone. * Supertrend confirms an uptrend. * **Short Entry:** * %K crosses below %D in the overbought zone. * Supertrend confirms a downtrend. ### Visual Aids: * Buy and sell signals are plotted with green and red labels respectively. * The Supertrend line is also plotted, switching color based on direction. ### Alerts: * Custom alerts are set for both long and short conditions, making this script suitable for automated or alert-driven trading setups. This script is ideal for swing and momentum traders looking to enter trades in strong trend conditions, filtering out noise and false reversals.
Pine Script® indicator
by rvsoriano056
DI+ Trend Tracker & Prediction (v6) DI+ Trend Tracker & Prediction – Pine Script v6 🔍 Overview This custom TradingView indicator focuses exclusively on the +DI (Positive Directional Indicator) component of the ADX (Average Directional Index) system. It tracks recent DI+ values, analyzes trend strength and direction, and applies a simple predictive model to estimate DI+ for the next trading day. 🧠 Key Features ✅ 1. DI+ History Table (Last 4 Days) Displays DI+ values for the past 4 completed bars. Helps traders observe momentum and directional strength in a structured view. 📈 2. Percentage Change Calculations Daily % Change: Shows change between the current DI+ and the previous day. Average % Change (3 Days): Measures average change over the last 3 sessions to identify the directional consistency. 🔮 3. Predictive DI+ Estimation Uses a linear regression (ta.linreg) over the last 4 DI+ values to estimate the next day’s DI+ reading. This is a simple "AI-style" statistical model, providing a forecast for tomorrow’s directional strength. 📉 4. Buy/Sell Signal Generation Buy Signal: Triggered when DI+ rises steadily over 3 days. Sell Signal: Triggered when DI+ drops steadily over 3 days. These signals are shown both in the table and directly on the chart with triangle markers. 📋 5. Clean Table Display The indicator uses a top-right table to clearly present: 4-day DI+ history Daily and average percentage changes Predicted DI+ value Current signal DI+ for today 🔧 Inputs ADX Length: Period for the DI+ calculation (default: 14) ADX Smoothing: Smoothing period for the ADX and DMI components (default: 14) 🎯 Use Case This indicator is ideal for: Traders who focus on trend strength and directional movement. Those seeking a quantitative edge by forecasting DI+. Anyone wanting a visual cue system without overly complex strategy rules. 📌 Notes This indicator does not include full ADX or DI− components. It is meant for signal analysis, trend confirmation, and forecasting, not full strategy backtesting.
Pine Script® indicator
by raghavprakash05