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Prakash and Vicky TrendPrakash and Vicky Trend This indicator is designed to help traders identify potential trend changes and key price levels on the chart. It uses three weighted moving averages and the volume-weighted average price (VWAP) for a balanced view of short-term momentum, overall trend, and market value. The fast and slow moving averages generate buy and sell signals when they cross over or under each other, signaling shifts in market momentum. The longer-term moving average acts as a trend filter, helping traders see the bigger picture direction. VWAP offers a benchmark level watched by institutions, highlighting areas of value and potential support or resistance. This combination provides a simple yet effective framework for making trading decisions with a clear view of price action, trend strength, and key levels.
Pine Script® göstergesi
prakash1126 tarafından
IU Fibonacci Levels For IntradayDESCRIPTION This indicator draws intraday Fibonacci levels from the opening price of the day using percentage-based retracements. It helps traders identify potential intraday support and resistance zones derived from the day’s opening bias. The levels are dynamically calculated and displayed with optional labels and customizable colors, making it an effective tool for both breakout and mean-reversion intraday strategies. USER INPUTS Direction Of The Level Choose whether to show Upside, Downside, or Both level sets based on your directional bias. Show Labels of Levels Option to enable or disable text labels displaying Fibonacci values and prices. Individual Level Toggles & Colors You can choose to show or hide each of the following Fibonacci levels and set their respective colors: * 0.236 * 0.328 * 0.500 * 0.618 * 0.786 * 1.000 INDICATOR LOGIC On the first bar of the session, the opening price is captured. Fibonacci levels are then calculated above and below this open using percentage multipliers (for example, day\_open + (day\_open \* 0.236%) for the 0.236 level). Depending on the selected direction, upside and/or downside levels are plotted. Filled zones are drawn between levels to visually highlight key price zones. Optionally, each level can be labeled with its Fibonacci value and price. WHY IT IS UNIQUE Unlike traditional swing-based Fibonacci retracements, this tool uses the day’s opening price as an anchor, specifically designed for intraday traders. Allows traders to quickly visualize micro-support and resistance levels that adapt every day. Highly customizable and easy to read, with filled level bands for better zone recognition. Works independently of indicators like RSI, MACD, or moving averages – purely based on price action logic. HOW USER CAN BENEFIT FROM IT Spot precise intraday reversal zones or breakout regions. Combine with price action or volume analysis for smarter entries. Filter trades by choosing directional bias (Up Site, Down Site, or Both). Set profit targets or stop-losses based on Fibonacci bands. Works great for scalpers, day traders, and even short-term swing traders looking to align with opening price momentum. Disclaimer This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
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Shivam_Mandrai tarafından
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Normalized EMA Cycle (NEC)Normalized EMA Cycle (NEC) The Normalized EMA Cycle (NEC) is a versatile momentum and trend reversal tool designed to detect high-probability turning points and gauge the strength of price cycles. It combines fast and slow Exponential Moving Averages (EMAs), dynamic normalization, and adaptive transparency to create clear, intuitive reversal signals on the chart. 🔹 How It Works EMA Differencing The NEC calculates the difference between a fast EMA and a slower EMA: Fast EMA Length (default 6) captures short-term momentum. Slow EMA Length (default 16) tracks broader trends. The slope of this difference identifies accelerating or decelerating momentum. Normalization to 0–100 Scale The raw EMA difference is scaled relative to the recent Alpha Period range (default 6 bars). This transforms the value into a normalized oscillator ranging between 0 and 100. A 3-period Hull Moving Average (HMA) smooths this series to reduce noise. Overbought and Oversold Thresholds By default: Overbought Level: 75 Oversold Level: 25 Crossovers of these levels are used to detect potential reversals. Adaptive Alpha Adjustment The normalized value is transformed into an “Alpha Schaff” line, dynamically shifting between price and normalized cycles. This helps the model adjust to different volatility regimes. Trend Reversal Logic Bullish Reversal: Normalized oscillator crosses above the Oversold Level. EMA difference slope is positive. Bearish Reversal: Normalized oscillator crosses below the Overbought Level. EMA difference slope is negative. Additional confirmation comes when price crosses the Alpha Schaff line in the direction of momentum. Dynamic Confidence Visualization The indicator calculates a trend confidence score based on the normalized separation of the EMAs. The transparency of reversal markers dynamically adjusts: Strong trends = more opaque signals Weak trends = more transparent signals 🔹 How to Use ✅ Entries Long Signal: Aqua upward label appears below a bar. Conditions: Bullish reversal or price crossing above Alpha Schaff Normalized slope is rising Short Signal: Fuchsia downward label appears above a bar. Conditions: Bearish reversal or price crossing below Alpha Schaff Normalized slope is falling ✅ Trend Strength The less transparent the signal marker, the more significant the trend. ✅ Customization Use the inputs to fine-tune sensitivity: Shorter EMAs: Faster signals Longer EMAs: Smoother trends Alpha Period: Adjusts the lookback range for normalization 🟢 Best Practices NEC is best used in combination with other trend confirmation tools (e.g., price structure, volume, or higher timeframe EMAs). Avoid relying on signals in extremely low-volume or choppy ranges. ⚠️ Disclaimer This script is intended for educational purposes only and does not constitute financial advice. Trading involves substantial risk, and you should consult your financial advisor before making any investment decisions.
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RWCS_LTD tarafından
JIYANS FVGJIYAN'S FVG is a powerful Fair Value Gap (FVG) indicator designed to help traders visually identify and track bullish and bearish imbalances across customizable timeframes. The script automatically detects FVGs based on market structure and plots them with shaded boxes and clear boundary lines on the chart. Key Features: Multi-Timeframe Detection: Select your preferred timeframe for FVG detection (e.g., H4, H1, M30). Visual Clarity: Displays shaded gaps with customizable colors, upper and lower boundary lines, and optional midpoint lines for precise reference. Dynamic Management: Automatically removes mitigated (filled) gaps to keep the chart clean and focused. Labeling: Annotates each FVG with the selected timeframe for easy tracking. Alerts: Built-in alerts notify you when a new FVG forms or when price touches the boundary of an existing unmitigated FVG. This tool is perfect for traders who rely on price imbalances and fair value gaps to identify potential trading opportunities and key areas of interest.
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priteshkhetani001 tarafından
ETF Leverage VerificationDo leveraged ETFs really return what they promise? Do they return the exact 2x or 3x? Or a slightly different multiple? How much do they deviate from the promised leverage multiples? Do these deviations impact investors in a positive or negative manner? These are the questions that I want to answer with this indicator. The ETF Leverage Verification indicator challenges the conventional understanding of leveraged ETFs by measuring how they actually perform versus their theoretical targets. Instead of assuming leveraged ETFs perfectly track their target multiple, this indicator quantifies the real-world behavior by comparing the expected returns versus the actual results on every trading day. Key Features Measures actual versus expected performance of leveraged ETFs Tracks deviation patterns across thousands of trading days Identifies asymmetric behavior in up versus down markets Quantifies beneficial "cushioning effect" during market declines Provides statistical summary of performance patterns Works with any leverage factor (2x, 3x, -1x, etc.) Compatible with all leveraged ETFs (equity, bond, commodity, volatility) How to Use the Indicator Enter the Expected Leverage Factor (default: 2.0) Select the Base Asset (underlying index, e.g., SPX) Select the Leveraged Asset (leveraged ETF, e.g., SSO) Understanding the Results Green markers: Days when the ETF outperformed its expected multiple Red markers: Days when the ETF underperformed its expected multiple Data Table: Positive Deviations: Count of days with better-than-expected performance Negative Deviations: Count of days with worse-than-expected performance Avg Deviation: Average magnitude of deviation from expected returns Frequency Skew: Difference between beneficial deviations in down vs. up markets Impact: Overall assessment of pattern benefit to investors Summary Label: Percentage of positive deviations in up and down markets Total sample size for statistical significance Key Patterns to Look For Positive Deviation in Negative Days: This occurs when a leveraged ETF falls less than expected during market declines. For example, if SPX falls 1% and a 2x ETF falls only 1.8% (instead of the expected 2%), this creates a +0.2% deviation. This pattern is beneficial as it provides downside protection. Negative Deviation in Positive Days: This happens when a leveraged ETF rises less than expected during market advances. For example, if SPX rises 1% and a 2x ETF rises only 1.9% (instead of the expected 2%), this creates a -0.1% deviation. This pattern reduces upside performance. Frequency Skew: The most critical metric that measures how much more frequently beneficial deviations occur in down markets compared to up markets. A higher positive skew indicates a stronger asymmetric pattern that helps long-term performance. Mathematical Background The indicator computes the deviation between expected and actual performance: Deviation = Actual Return - Expected Return Where: Expected Return = Base Asset Return × Leverage Factor The deviation is then categorized into four possible outcomes: Positive deviation on positive market days Negative deviation on positive market days Positive deviation on negative market days Negative deviation on negative market days In short, more positive deviations are good for investors. Please feel free to criticize. I'm happy to improve the indicator.
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HenriqueCentieiro tarafından
WMA cross with filtered Signals [Dr.K.C.Prakash]WMA cross with filtered Signals 📌 Description This indicator is designed to generate trend-filtered Buy and Sell signals based on the crossover of two Weighted Moving Averages (WMAs), with confirmation from a long-term EMA trend filter. It helps traders avoid false signals in choppy markets by trading only in the direction of the broader trend. ✅ Features Fast WMA (?) and Slow WMA (?) Core crossover logic for detecting local trend shifts. EMA Trend Filter (?) Confirms overall trend direction. Buy signals only occur when price is above the EMA ? (uptrend). Sell signals only occur when price is below the EMA ? (downtrend). Signal Markers on Chart BUY label below bar for valid bullish crossovers. SELL label above bar for valid bearish crossunders. EMA 200 Line Clearly plotted to visualize the trend filter level. Customizable Length Inputs Users can adjust Fast WMA, Slow WMA, and EMA filter length. Lines for both WMAs and the EMA trend filter. Signal labels on valid Buy/Sell events. ✅ Use Cases Trend-following traders who want cleaner entries. Avoiding counter-trend signals. Works on any timeframe (but EMA 200 is best for larger trend context).
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prakash1126 tarafından
MTF Dashboard 9 Timeframes + Signals📊 MTF Dashboard — Multi-Timeframe Market Signal Matrix Overview The MTF Dashboard is an open-source Pine Script tool that enables traders to monitor key trend and momentum indicators across nine timeframes simultaneously—ranging from 1 minute to monthly—within a single unified view. This script is designed to support both discretionary and rules-based traders by improving efficiency in multi-timeframe analysis. ✅ Key Features 🔄 Multi-Timeframe Coverage 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W, 1M supported Toggle individual timeframes on/off as per your trading style 📈 Built-in Technical Indicators Trend Detection: Based on moving average (EMA) crossovers Momentum Evaluation: Using Relative Strength Index (RSI) MACD Status: Displays histogram trend Volume Confirmation: Compares current volume to average Confluence Rating: Optional logic combining indicator signals 🎨 Custom Dashboard Appearance Supports light/dark chart modes Adjustable panel positioning (Top/Bottom/Center Left/Right) Multiple text size options Color settings for bullish, bearish, and neutral signals 🔔 Optional Alerts Alert conditions for confluence setups or trend changes (user must configure manually) Use Cases Identify trend alignment across short, medium, and long timeframes Confirm entry or exit signals with high-confidence confluence Detect early shifts in trend direction using EMA, RSI, MACD divergence Quickly assess overall market sentiment in one glance Limitations: This script does not provide financial advice or guaranteed signals Not intended for automatic trading or strategy backtesting Users should interpret dashboard signals in the context of price structure and risk management How to Use: Add the script to your chart from your favorites Open the settings panel: Enable only the timeframes you want to analyze Customize colors, position, and table layout Optionally, right-click the script to configure alerts based on confluence or indicator changes Technical Notes EMA settings can be adjusted to match your trading system Designed for visual clarity and performance with multiple timeframes enabled Credits This tool was developed to help the TradingView community simplify MTF analysis. Inspired by institutional-grade dashboards and adapted for manual charting use by retail traders. Tags #multi-timeframe #EMA #RSI #MACD #volume #confluence #dashboard #trend #momentum #open-source #pine-script #tradingview License Published as open-source under the TradingView community sharing model. Users are encouraged to modify, improve, and credit respectfully.
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DeltaSpeedEdge tarafından
Contrarian RSIContrarian RSI Indicator Pairs nicely with Contrarian 100 MA (optional hide/unhide buy/sell signals) Description The Contrarian RSI is a momentum-based technical indicator designed to identify potential reversal points in price action by combining a unique RSI calculation with a predictive range model inspired by the "Contrarian 5 Levels" logic. Unlike traditional RSI, which measures price momentum based solely on price changes, this indicator integrates a smoothed, weighted momentum calculation and predictive price ranges to generate contrarian signals. It is particularly suited for traders looking to capture reversals in trending or range-bound markets. This indicator is versatile and can be used across various timeframes, though it performs best on higher timeframes (e.g., 1H, 4H, or Daily) due to reduced noise and more reliable signals. Lower timeframes may require additional testing and careful parameter tuning to optimize performance. How It Works The Contrarian RSI combines two primary components: Predictive Ranges (5 Levels Logic): This calculates a smoothed price average that adapts to market volatility using an ATR-based mechanism. It helps identify significant price levels that act as potential support or resistance zones. Contrarian RSI Calculation: A modified RSI calculation that uses weighted momentum from the predictive ranges to measure buying and selling pressure. The result is smoothed and paired with a user-defined moving average to generate clear signals. The indicator generates buy (long) and sell (exit) signals based on crossovers and crossunders of user-defined overbought and oversold levels, making it ideal for contrarian trading strategies. Calculation Overview Predictive Ranges (5 Levels Logic): Uses a custom function (pred_ranges) to calculate a dynamic price average (avg) based on the ATR (Average True Range) multiplied by a user-defined factor (mult). The average adjusts only when the price moves beyond the ATR threshold, ensuring responsiveness to significant price changes while filtering out noise. This calculation is performed on a user-specified timeframe (tf5Levels) for multi-timeframe analysis. Contrarian RSI: Compares consecutive predictive range values to calculate gains (g) and losses (l) over a user-defined period (crsiLength). Applies a Gaussian weighting function (weight = math.exp(-math.pow(i / crsiLength, 2))) to prioritize recent price movements. Computes a "wave ratio" (net_momentum / total_energy) to normalize momentum, which is then scaled to a 0–100 range (qrsi = 50 + 50 * wave_ratio). Smooths the result with a 2-period EMA (qrsi_smoothed) for stability. Moving Average: Applies a user-selected moving average (SMA, EMA, WMA, SMMA, or VWMA) with a customizable length (maLength) to the smoothed RSI (qrsi_smoothed) to generate the final indicator value (qrsi_ma). Signal Generation: Long Entry: Triggered when qrsi_ma crosses above the oversold level (oversoldLevel, default: 1). Long Exit: Triggered when qrsi_ma crosses below the overbought level (overboughtLevel, default: 99). Entry and Exit Rules Long Entry: Enter a long position when the Contrarian RSI (qrsi_ma) crosses above the oversold level (default: 1). This suggests the asset is potentially oversold and due for a reversal. Long Exit: Exit the long position when the Contrarian RSI (qrsi_ma) crosses below the overbought level (default: 99), indicating a potential overbought condition and a reversal to the downside. Customization: Adjust overboughtLevel and oversoldLevel to fine-tune sensitivity. Lower timeframes may benefit from tighter levels (e.g., 20 for oversold, 80 for overbought), while higher timeframes can use extreme levels (e.g., 1 and 99) for stronger reversals. Timeframe Considerations Higher Timeframes (Recommended): The indicator is optimized for higher timeframes (e.g., 1H, 4H, Daily) due to its reliance on predictive ranges and smoothed momentum, which perform best with less market noise. These timeframes typically yield more reliable reversal signals. Lower Timeframes: The indicator can be used on lower timeframes (e.g., 5M, 15M), but signals may be noisier and require additional confirmation (e.g., from price action or other indicators). Extensive backtesting and parameter optimization (e.g., adjusting crsiLength, maLength, or mult) are recommended for lower timeframes. Inputs Contrarian RSI Length (crsiLength): Length for RSI momentum calculation (default: 5). RSI MA Length (maLength): Length of the moving average applied to the RSI (default: 1, effectively no MA). MA Type (maType): Choose from SMA, EMA, WMA, SMMA, or VWMA (default: SMA). Overbought Level (overboughtLevel): Upper threshold for exit signals (default: 99). Oversold Level (oversoldLevel): Lower threshold for entry signals (default: 1). Plot Signals on Main Chart (plotOnChart): Toggle to display signals on the price chart or the indicator panel (default: false). Plotted on Lower: Plotted on Chart: 5 Levels Length (length5Levels): Length for predictive range calculation (default: 200). Factor (mult): ATR multiplier for predictive ranges (default: 6.0). 5 Levels Timeframe (tf5Levels): Timeframe for predictive range calculation (default: chart timeframe). Visuals Contrarian RSI MA: Plotted as a yellow line, representing the smoothed Contrarian RSI with the applied moving average. Overbought/Oversold Lines: Red line for overbought (default: 99) and green line for oversold (default: 1). Signals: Blue circles for long entries, white circles for long exits. Signals can be plotted on the main chart (plotOnChart = true) or the indicator panel (plotOnChart = false). Usage Notes Use the indicator in conjunction with other tools (e.g., support/resistance, trendlines, or volume) to confirm signals. Test extensively on your chosen timeframe and asset to optimize parameters like crsiLength, maLength, and mult. Be cautious with lower timeframes, as false signals may occur due to market noise. The indicator is designed for contrarian strategies, so it works best in markets with clear reversal patterns. Disclaimer This indicator is provided for educational and informational purposes only. Always conduct thorough backtesting and risk management before using any indicator in live trading. The author is not responsible for any financial losses incurred.
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chuckaschultz tarafından
Open Range Breakout (ORB) with Alerts 🚀 ChartsAlgo – Open Range Breakout (ORB) with Alerts The Open Range Breakout (ORB) Indicator by ChartsAlg is designed for intraday traders looking to capitalize on price movements after the market’s opening range. This tool is especially effective for futures (MNQ, MES) and high-volatility stocks or crypto where initial volatility sets the tone for the session. This indicator identifies a user-defined opening range window, plots the high/low lines of that range, and visually alerts users when price breaks out above or below the range — with options to customize breakout repetitions, background fill, and alerts. 💡 What is an Open Range Breakout (ORB)? The opening range represents the high and low established during the first few minutes of the trading session — usually 15 or 30 minutes. Many intraday strategies are based on the idea that breaking out of this initial range often signals strong momentum and trend continuation. Traders often enter: Long when price breaks above the range high. Short when price breaks below the range low. ⚙️ How It Works You define a session window (e.g., 09:30–09:45 EST). The indicator tracks the high and low during this time. Once the session ends, the high and low become your range breakout levels. The indicator then: Plots lines for visual clarity Optionally fills background between the range Triggers breakout signals if price crosses the levels Provides alerts when breakouts occur 🛠️ Settings Breakdown 🔹 Session Settings Range Session: Set your preferred window (e.g., 0930–0945). Can be premarket, first 30 mins, or any custom time. Time zone: Use "America/New York" for EST (default) or change to "GMT+0" for international traders. 🔹 Breakout Settings Bullish Breakout Signals: Number of allowed breakout alerts above the range. Bearish Breakout Signals: Number of allowed breakout alerts below the range. This prevents repeated alerts once breakout has been confirmed. 🔹 Display Settings Show Background Fill: Fills area between high/low of the range for easier visual analysis. Show Breakout Signals: Triangle markers plotted on the chart when breakouts happen. Only Show Today’s Range: Keeps the chart clean by showing only the most current day’s range. 🔹 Color Settings Range High/Low Line Colors: Choose any color for clarity. Range Fill Color: Customize the highlight area for your chart style. 📊 Chart Features Range High/Low Lines: Automatically plotted after range session ends. Visual Fill Box: Optional background shading between the opening range. Triangle Breakout Markers: Appear at the breakout candle. Alerts: Can be used with TradingView’s alert system to notify you of breakouts in real-time. 🔔 Alerts Two alert conditions are built in: Bullish Breakout: Triggers when price breaks above the high of the range. Bearish Breakout: Triggers when price breaks below the low of the range. Example Alert Message: 📈 “Bullish Breakout above Open Range on AAPL!” To activate: Click “🔔 Alerts” on TradingView. Set condition to this script. Choose “ORB Breakout Up” or “ORB Breakout Down”. Choose alert frequency and notification method. ⚠️ DISCLAIMER ChartsAlgo tools are for informational and educational purposes only. They are not financial advice or signals. Past performance does not guarantee future results. Use at your own risk and always implement solid risk management. By using this indicator, you agree that you are solely responsible for any trades or decisions made based on the information provided.
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ChartsAlgo tarafından
ALP AT + KAMA Crossover This indicator is a powerful combination of two adaptive trend-following concepts: the AlphaTrend by Kivanc Ozbilgic and the Kaufman's Adaptive Moving Average (KAMA), often credited to Perry Kaufman (with the specific implementation based on HPotter's interpretation of KAMA). The primary goal of this indicator is to provide a robust trend detection and dynamic support/resistance system, adapting to market volatility. How it Works: AlphaTrend Component: The green/red line is the AlphaTrend. It dynamically adjusts to market volatility (using ATR) and momentum (using MFI or RSI, configurable). It provides faster signals for trend changes. KAMA Component: The black line is the Kaufman's Adaptive Moving Average. KAMA is designed to filter out market noise during choppy periods and follow the price closely during trending periods, making it a smoother and more reliable long-term trend indicator. Color-Coded Trend Zones: The AlphaTrend line is color-coded to visually represent the current market condition based on the price's position relative to both AlphaTrend and KAMA: Strong Uptrend (Lime Green): Price is above both AlphaTrend and KAMA. Strong Downtrend (Red): Price is below both AlphaTrend and KAMA. Uptrend Uncertainty (Orange): Price is above KAMA but below AlphaTrend (suggests consolidation or weakening uptrend). Downtrend Uncertainty (Blue): Price is below KAMA but above AlphaTrend (suggests consolidation or strengthening downtrend within a downtrend). Gray: Default/unclassified state. The underlying logic is based on: Bullish Crossover (Potential Buy Signal): When the AlphaTrend line crosses above the KAMA line. Bearish Crossover (Potential Sell Signal): When the AlphaTrend line crosses below the KAMA line. These crossovers indicate a shift in the adaptive trend momentum. Customization: Users can customize various parameters in the indicator's settings, including: AlphaTrend Multiplier and Common Period. KAMA Lengths and Alpha values. All the color codes for different trend zones and lines, allowing for full personalization of the visual output. Disclaimer: This indicator is for informational and educational purposes only and should not be considered as financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct your own thorough research and analysis before making any trading or investment decisions. This indicator is NOT a buy/sell/hold recommendation. Use it as a tool to aid your analysis, not as a sole basis for your trades.
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Tungaer_as tarafından
MFI Candles MTF TableMFI Candles + Multi-Timeframe Table | by julzALGO This open-source script visualizes the Money Flow Index (MFI) in a new format — as candles instead of a traditional oscillator line. It provides a clean, volume-driven view of momentum and pressure, ideal for traders seeking more actionable and visual cues than a typical MFI plot. What Makes It Unique: • Plots "MFI Candles" — synthetic candles based on smoothed MFI values using a selected timeframe (default: 1D), giving a new way to read volume flow. • Candles reflect momentum: green if MFI rises, red if it falls. • Background turns red when MFI is overbought (≥ 80) or green when oversold (≤ 20). Multi-Timeframe Strength Table: • Displays MFI values from 15m, 1h, 4h, and 1D timeframes — all in one dashboard. • Color-coded for quick recognition: 🔴 Overbought, 🟢 Oversold. • Values are smoothed with linear regression for better clarity. Custom Settings: • MFI calculation length • Smoothing factor • Candle source timeframe • Toggle table and OB/OS background How to Use: - Use MFI Candles to monitor momentum shifts based on money flow. - Use the Multi-Timeframe Table to identify when multiple timeframes align — helpful for timing entries and exits. - Watch the background for extreme conditions (OB/OS) that may signal upcoming reversals or pressure exhaustion. Happy Trading!
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julzALGO tarafından