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MULTIPLE TIME-FRAME STRATEGY(TREND, MOMENTUM, ENTRY) Hey everyone, this is one strategy that I have found profitable over time. It is a multiple time frame strategy that utilizes 3 time-frames. Highest time-frame is the trend, medium time-frame is the momentum and short time-frame is the entry point. Long Term: - If closed candle is above entry then we are looking for longs, otherwise we are looking for shorts Medium Term: - If Stoch SmoothK is above or below SmoothK and the momentum matches long term trend then we look for entries. Short Term: - If a moving average crossover(long)/crossunder(short) occurs then place a trade in the direction of the trend. Close Trade: - Trade is closed when the Medium term SmoothK Crosses under/above SmoothD. You can mess with the settings to get the best Profit Factor / Percent Profit that matches your plan. Best of luck!
Strategi Pine Script®
oleh tux
4
FREE INDICATOR: Relative Momentum Index (RMI)RMI, as requested by glaz Description: The Relative Momentum Index was developed by Roger Altman and was introduced in his article in the February, 1993 issue of Technical Analysis of Stocks & Commodities magazine. While your typical RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago. The result is an RSI that is a bit smoother. Usage: Use in the same way you would any other RSI. There are overbought and oversold zones, and can also be used for divergence and trend analysis . Grab the source code here: pastebin.com Installation video by @ChrisMoody here : vimeopro.com             ░░░░░░░░░░░░░░░ Feel free to follow me to keep up with my latest scripts! ░░░░░░░░░░░░░░░             ░░░░░░░░░░░░ PLEASE THUMB UP OR STAR IF YOU LIKE THIS INDICATOR! ░░░░░░░░░░░░                                                           I'd like as many people as possible to get it :)
Penunjuk Pine Script®
oleh TheLark
20
MACD-V (Volatility-Normalised Momentum) — Spiroglou, 2022Volatility-normalized MACD per Alex Spiroglou (2022): MACD-V = (EMA12 − EMA26) / ATR26 × 100, so momentum is expressed in ATR units and stays comparable across assets/timeframes. What you get • Trend-colored line: green when price ≥ EMA200, red otherwise. • Guides: ±50 / ±100 / 0; Extremes: ±140 (editable). • Regime shading: OB ≥ +140 shaded red; OS ≤ −140 shaded green. • Clean, on-curve markers: small circles on the MACD-V line at the four edge events — OB (enter ≥ +threshold), OBX (cross back down), OS (enter ≤ −threshold), OSX (cross back up). • Text labels are off by default; optional toggle only for OB/OBX. • Signal & histogram: EMA(9) of MACD-V and (MACD-V − Signal) columns. • Alerts: OB/OS entries & exits included. How to use • Favor longs when MACD-V > 0 (ideally > +50); respect OB for possible exhaustion. • Favor shorts when MACD-V < 0 (ideally < −50); respect OS for possible exhaustion. • Because it’s ATR-normalized, thresholds transfer well across symbols and timeframes.
Penunjuk Pine Script®
oleh suresh789
Market DashboardMarket Dashboard — All-in-One Technical Indicator Panel The Market Dashboard is a powerful visual tool that consolidates key technical indicators into a single on-chart table, helping traders make faster and more informed decisions. This script includes: RSI — Detects overbought and oversold market conditions MACD — Shows trend momentum and crossover signals CVD (Cumulative Volume Delta) — Highlights buyer vs. seller pressure Volume Analysis — Flags unusually high volume ATR (Average True Range) — Displays current market volatility Session Detector — Automatically identifies ASIAN, LONDON, or NEW YORK sessions based on UTC time Fully Customizable — Adjust table position and text size to fit your chart layout Designed for traders who want a clean, real-time snapshot of market dynamics, directly on the chart.
Penunjuk Pine Script®
oleh CaptainsPlan
2
CDP - Counter-Directional-Pivot🎯 CDP - Counter-Directional-Pivot 📊 Overview The Counter-Directional-Pivot (CDP) indicator calculates five critical price levels based on the previous day's OHLC data, specifically designed for multi-timeframe analysis. Unlike standard pivot points, CDP levels are calculated using a unique formula that identifies potential reversal zones where price action often changes direction. ⚡ What Makes This Script Original This implementation solves several technical challenges that existing pivot indicators face: 🔄 Multi-Timeframe Consistency: Values remain identical across all timeframes (1m, 5m, 1h, daily) - a common problem with many pivot implementations 🔒 Intraday Stability: Uses advanced value-locking technology to prevent the "stepping" effect that occurs when pivot lines shift during the trading session 💪 Robust Data Handling: Optimized for both liquid and illiquid stocks with enhanced data synchronization 🧮 CDP Calculation Formula The indicator calculates five key levels using the previous day's High (H), Low (L), and Close (C): CDP = (H + L + C) ÷ 3 (Central Decision Point) AH = 2×CDP + H – 2×L (Anchor High - Strong Resistance) NH = 2×CDP – L (Near High - Moderate Resistance) AL = 2×CDP – 2×H + L (Anchor Low - Strong Support) NL = 2×CDP – H (Near Low - Moderate Support) ✨ Key Features 🎨 Visual Elements 📈 Five Distinct Price Levels: Each with customizable colors and line styles 🏷️ Smart Label System: Shows exact price values for each level 📋 Optional Value Table: Displays all levels in an organized table format 🎯 Clean Chart Display: Minimal visual clutter while maximizing information ⚙️ Technical Advantages 🔐 Session-Locked Values: Prices are locked at market open, preventing intraday shifts 🔄 Multi-Timeframe Sync: Perfect consistency between daily and intraday charts ✅ Data Validation: Built-in checks ensure reliable calculations 🚀 Performance Optimized: Efficient code structure for fast loading 💼 Trading Applications 🔄 Reversal Zones: AH and AL often act as strong turning points 💥 Breakout Confirmation: Price movement beyond these levels signals trend continuation 🛡️ Risk Management: Use levels for stop-loss and take-profit placement 🏗️ Market Structure: Understand daily ranges and potential price targets 📚 How to Use 🚀 Basic Setup Add the indicator to your chart (works on any timeframe) Customize colors for easy identification of support/resistance zones Enable the value table for quick reference of exact price levels 📈 Trading Strategy Examples 🟢 Long Bias: Look for bounces at NL or AL levels 🔴 Short Bias: Watch for rejections at NH or AH levels 💥 Breakout Trading: Enter positions when price decisively breaks through anchor levels ↔️ Range Trading: Use CDP as the central reference point for range-bound markets 🎯 Advanced Strategy Combinations RSI Integration for Enhanced Signals: 📊 📉 Oversold Bounces: Combine RSI below 30 with price touching AL/NL levels for high-probability long entries 📈 Overbought Rejections: Look for RSI above 70 with price rejecting AH/NH levels for short opportunities 🔍 Divergence Confirmation: When RSI shows bullish divergence at support levels (AL/NL) or bearish divergence at resistance levels (AH/NH), it often signals stronger reversal potential ⚡ Momentum Confluence: RSI crossing 50 while price breaks through CDP can confirm trend direction changes ⚙️ Configuration Options 🎨 Line Customization: Adjust width, style (solid/dashed/dotted), and colors 👁️ Display Preferences: Toggle individual levels, labels, and value table 📍 Table Position: Place the value table anywhere on your chart 🔔 Alert System: Get notifications when price crosses key levels 🔧 Technical Implementation Details 🎯 Data Reliability The script uses request.security() with lookahead settings to ensure historical accuracy while maintaining real-time functionality. The value-locking mechanism prevents the common issue where pivot levels shift during the trading day. 🔄 Multi-Timeframe Logic ⏰ Intraday Charts: Display previous day's calculated levels as stable horizontal lines 📅 Daily Charts: Show current day's levels based on yesterday's OHLC 🔍 Consistency Check: All timeframes reference the same source data 🤔 Why CDP vs Standard Pivots? Counter-Directional Pivots often provide more accurate reversal points than traditional pivot calculations because they incorporate the relationship between high/low ranges and closing prices more effectively. The formula creates levels that better reflect market psychology and institutional trading behaviors. 💡 Best Practices 💧 Use on liquid markets for most reliable results 📊 RSI Combination: Add RSI indicator for overbought/oversold confirmation and divergence analysis 📊 Combine with volume analysis for confirmation 🔍 Consider multiple timeframe analysis (daily levels on hourly charts) 📝 Test thoroughly in paper trading before live implementation 💪 Example Market Applications NASDAQ:AAPL AAPL - Tech stock breakouts through AH levels $NYSE:SPY SPY - Index trading with CDP range analysis NASDAQ:TSLA TSLA - Volatile stock reversals at AL/NL levels ⚠️ This indicator is designed for educational and analytical purposes. Always combine with proper risk management and additional technical analysis tools.
Penunjuk Pine Script®
oleh joericke
Kaufman Trend Strategy# ✅ Kaufman Trend Strategy – Full Description (Script Publishing Version) **Kaufman Trend Strategy** is a dynamic trend-following strategy based on Kaufman Filter theory. It detects real-time trend momentum, reduces noise, and aims to enhance entry accuracy while optimizing risk. ⚠️ _For educational and research purposes only. Past performance does not guarantee future results._ --- ## 🎯 Strategy Objective - Smooth price noise using Kaufman Filter smoothing - Detect the strength and direction of trends with a normalized oscillator - Manage profits using multi-stage take-profits and adaptive ATR stop-loss logic --- ## ✨ Key Features - **Kaufman Filter Trend Detection** Extracts directional signal using a state space model. - **Multi-Stage Profit-Taking** Automatically takes partial profits based on color changes and zero-cross events. - **ATR-Based Volatility Stops** Stops adjust based on swing highs/lows and current market volatility. --- ## 📊 Entry & Exit Logic **Long Entry** - `trend_strength ≥ 60` - Green trend signal - Price above the Kaufman average **Short Entry** - `trend_strength ≤ -60` - Red trend signal - Price below the Kaufman average **Exit (Long/Short)** - Blue trend color → TP1 (50%) - Oscillator crosses 0 → TP2 (25%) - Trend weakens → Final exit (25%) - ATR + swing-based stop loss --- ## 💰 Risk Management - Initial capital: `$3,000` - Order size: `$100` per trade (realistic, low-risk sizing) - Commission: `0.002%` - Slippage: `2 ticks` - Pyramiding: `1` max position - Estimated risk/trade: `~0.1–0.5%` of equity > ⚠️ _No trade risks more than 5% of equity. This strategy follows TradingView script publishing rules._ --- ## ⚙️ Default Parameters - **1st Take Profit**: 50% - **2nd Take Profit**: 25% - **Final Exit**: 25% - **ATR Period**: 14 - **Swing Lookback**: 10 - **Entry Threshold**: ±60 - **Exit Threshold**: ±40 --- ## 📅 Backtest Summary - **Symbol**: USD/JPY - **Timeframe**: 1H - **Date Range**: Jan 3, 2022 – Jun 4, 2025 - **Trades**: 924 - **Win Rate**: 41.67% - **Profit Factor**: 1.108 - **Net Profit**: +$1,659.29 (+54.56%) - **Max Drawdown**: -$1,419.73 (-31.87%) --- ## ✅ Summary This strategy uses Kaufman filtering to detect market direction with reduced lag and increased smoothness. It’s built with visual clarity and strong trade management, making it practical for both beginners and advanced users. --- ## 📌 Disclaimer This script is for educational and informational purposes only and should not be considered financial advice. Use with proper risk controls and always test in a demo environment before live trading.
Strategi Pine Script®
oleh PakunFX
Dual Pwma Trends [ZORO_47]Key Features: Dual PWMA System: Combines a fast and slow Parabolic Weighted Moving Average to identify momentum shifts and trend changes with precision. Dynamic Color Coding: The indicator lines change color to reflect market conditions—green for bullish crossovers (potential buy signals) and red for bearish crossunders (potential sell signals), making it easy to interpret at a glance. Customizable Parameters: Adjust the fast and slow PWMA lengths, power settings, and source data to tailor the indicator to your trading style and timeframe. Clean Visualization: Plotted with bold, clear lines (3px width) for optimal visibility on any chart, ensuring you never miss a signal. How It Works: The indicator calculates two PWMAs using the imported ZOROLIBRARY by ZORO_47. When the fast PWMA crosses above the slow PWMA, both lines turn green, signaling a potential bullish trend. Conversely, when the fast PWMA crosses below the slow PWMA, the lines turn red, indicating a potential bearish trend. The color persists until the next crossover or crossunder, providing a seamless visual cue for trend direction. Ideal For: Trend Traders: Identify trend reversals and continuations with clear crossover signals. Swing Traders: Use on higher timeframes to capture significant price moves. Day Traders: Fine-tune settings for faster signals on intraday charts. Settings: Fast Length/Power: Control the sensitivity of the fast PWMA (default: 12/2). Slow Length/Power: Adjust the smoother, slower PWMA (default: 21/1). Source: Choose your preferred data input (default: close price).
Penunjuk Pine Script®
oleh ZORO_47
TJR SEEK AND DESTROYTJR SEEK AND DESTROY – Intraday ICT Trading Tool Built for day traders, TJR SEEK AND DESTROY combines Smart Money concepts like order blocks, fair value gaps, and liquidity sweeps with structure breaks and daily bias to pinpoint high-probability trades during US market hours (9:30–16:00). Ideal for scalping or intraday strategies on stocks, futures, or forex. What Makes It Unique? Unlike standalone ICT indicators, this script integrates: Order Blocks with volume and range filters for precise support/resistance zones. Fair Value Gaps (FVG) to spot pre-market price imbalances. Break of Structure (BOS) and Liquidity Sweeps for trend and reversal signals. A 1H MA-based Bias to align trades with the day’s direction. BUY/SELL Labels triggered only when bias, BOS, and sweeps align, reducing noise. How Does It Work? Order Blocks: Marks zones with high volume (>1.5x 20-period SMA) and low range (<0.5x ATR20) as teal boxes—potential reversal points. Fair Value Gap: Compares the prior day’s close to the current open (pre- or post-9:30), shown as a purple line and label (e.g., "FVG: 0.005"). Pivot Point: Calculates (prevHigh + prevLow + prevClose) / 3 from the prior day, plotted as an orange line for equilibrium. Break of Structure: Detects crossovers of 5-bar highs/lows (gray lines), marked with red triangles. Liquidity Sweeps: Tracks breaches of the prior day’s high/low (yellow lines), marked with yellow triangles. Daily Bias: Uses 1H close vs. 20-period MA (blue line) for bullish (green background), bearish (red), or neutral (gray) context. Signals: BUY (green label) when bias is bullish, price breaks up, and sweeps the prior high; SELL (red label) when bias is bearish, price breaks down, and sweeps the prior low. How to Use It Setup: Apply to 1M–15M charts for US session trading (9:30–16:00 EST). Trading: Wait for a BUY label after a yellow sweep triangle above the prior day’s high in a green (bullish) background. Wait for a SELL label after a yellow sweep triangle below the prior day’s low in a red (bearish) background. Use order blocks (teal boxes) as support/resistance for stop-loss or take-profit. Markets: Best for SPY, ES futures, or forex pairs with US session volatility. Underlying Concepts Order Blocks: High-volume, low-range bars suggest institutional activity. FVG: Gaps between close and open indicate imbalance to be filled. BOS & Sweeps: Price breaking key levels signals momentum or stop-hunting. Bias: 1H MA filters trades by broader trend. Chart Setup Displays order blocks (teal boxes), pivot (orange), open (purple), bias (colored background), BOS/sweeps (triangles), and signals (labels). Keep other indicators off for clarity.
Penunjuk Pine Script®
oleh SwiftEdge
4 Bar Momentum Reversal strategy█ STRATEGY DESCRIPTION The "4 Bar Momentum Reversal Strategy" is a mean-reversion strategy designed to identify price reversals following a sustained downward move. It enters a long position when a reversal condition is met and exits when the price shows strength by exceeding the previous bar's high. This strategy is optimized for indices and stocks on the daily timeframe. █ WHAT IS THE REFERENCE CLOSE? The Reference Close is the closing price from X bars ago, where X is determined by the Lookback period. Think of it as a moving benchmark that helps the strategy assess whether prices are trending upwards or downwards relative to past performance. For example, if the Lookback is set to 4, the Reference Close is the closing price 4 bars ago (`close `). █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The close price has been lower than the Reference Close for at least `Buy Threshold` consecutive bars. This indicates a sustained downward move, suggesting a potential reversal. The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the high of the previous bar (`close > high `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ ADDITIONAL SETTINGS Buy Threshold: The number of consecutive bearish bars needed to trigger a Buy Signal. Default is 4. Lookback: The number of bars ago used to calculate the Reference Close. Default is 4. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for trending markets with frequent reversals. It performs best in volatile conditions where price movements are significant. Backtesting results should be analysed to optimize the Buy Threshold and Lookback parameters for specific instruments.
Strategi Pine Script®
oleh Botnet101
1
Percentile Momentum IndicatorInput Parameters: lengthPercentile: Defines the period used to calculate the percentile values (default: 30). lengthMomentum: Defines the period for calculating the Rate of Change (ROC) momentum (default: 10). Core Logic: Rate of Change (ROC): The script calculates the ROC of the closing price over the specified period (lengthMomentum). Percentile Calculations: The script calculates two key percentiles: percentile_upper (80th percentile of the high prices) percentile_lower (20th percentile of the low prices) Percentile Average: An average of the upper and lower percentiles is calculated (avg_percentile). Trade Signals: Buy Signal: Triggered when the ROC is positive, the close is above the percentile_lower, and the close is above the avg_percentile. Sell Signal: Triggered when the ROC is negative, the close is below the percentile_upper, and the close is below the avg_percentile. Trade State Management: The script uses a binary state: 1 for long (buy) and -1 for short (sell). The trade state is updated based on buy or sell signals. Bar Coloring: Bars are colored dynamically based on the trade state: Green for long (buy signal). Red for short (sell signal). The same color is applied to the percentile and average percentile lines for visual consistency.
Penunjuk Pine Script®
oleh jvckvmuno
The Most Powerful TQQQ EMA Crossover Trend Trading StrategyTQQQ EMA Crossover Strategy Indicator Meta Title: TQQQ EMA Crossover Strategy - Enhance Your Trading with Effective Signals Meta Description: Discover the TQQQ EMA Crossover Strategy, designed to optimize trading decisions with fast and slow EMA crossovers. Learn how to effectively use this powerful indicator for better trading results. Key Features The TQQQ EMA Crossover Strategy is a powerful trading tool that utilizes Exponential Moving Averages (EMAs) to identify potential entry and exit points in the market. Key features of this indicator include: **Fast and Slow EMAs:** The strategy incorporates two EMAs, allowing traders to capture short-term trends while filtering out market noise. **Entry and Exit Signals:** Automated signals for entering and exiting trades based on EMA crossovers, enhancing decision-making efficiency. **Customizable Parameters:** Users can adjust the lengths of the EMAs, as well as take profit and stop loss multipliers, tailoring the strategy to their trading style. **Visual Indicators:** Clear visual plots of the EMAs and exit points on the chart for easy interpretation. How It Works The TQQQ EMA Crossover Strategy operates by calculating two EMAs: a fast EMA (default length of 20) and a slow EMA (default length of 50). The core concept is based on the crossover of these two moving averages: - When the fast EMA crosses above the slow EMA, it generates a *buy signal*, indicating a potential upward trend. - Conversely, when the fast EMA crosses below the slow EMA, it produces a *sell signal*, suggesting a potential downward trend. This method allows traders to capitalize on momentum shifts in the market, providing timely signals for trade execution. Trading Ideas and Insights Traders can leverage the TQQQ EMA Crossover Strategy in various market conditions. Here are some insights: **Scalping Opportunities:** The strategy is particularly effective for scalping in volatile markets, allowing traders to make quick profits on small price movements. **Swing Trading:** Longer-term traders can use this strategy to identify significant trend reversals and capitalize on larger price swings. **Risk Management:** By incorporating customizable stop loss and take profit levels, traders can manage their risk effectively while maximizing potential returns. How Multiple Indicators Work Together While this strategy primarily relies on EMAs, it can be enhanced by integrating additional indicators such as: - **Relative Strength Index (RSI):** To confirm overbought or oversold conditions before entering trades. - **Volume Indicators:** To validate breakout signals, ensuring that price movements are supported by sufficient trading volume. Combining these indicators provides a more comprehensive view of market dynamics, increasing the reliability of trade signals generated by the EMA crossover. Unique Aspects What sets this indicator apart is its simplicity combined with effectiveness. The reliance on EMAs allows for smoother signals compared to traditional moving averages, reducing false signals often associated with choppy price action. Additionally, the ability to customize parameters ensures that traders can adapt the strategy to fit their unique trading styles and risk tolerance. How to Use To effectively utilize the TQQQ EMA Crossover Strategy: 1. **Add the Indicator:** Load the script onto your TradingView chart. 2. **Set Parameters:** Adjust the fast and slow EMA lengths according to your trading preferences. 3. **Monitor Signals:** Watch for crossover points; enter trades based on buy/sell signals generated by the indicator. 4. **Implement Risk Management:** Set your stop loss and take profit levels using the provided multipliers. Regularly review your trading performance and adjust parameters as necessary to optimize results. Customization The TQQQ EMA Crossover Strategy allows for extensive customization: - **EMA Lengths:** Change the default lengths of both fast and slow EMAs to suit different time frames or market conditions. - **Take Profit/Stop Loss Multipliers:** Adjust these values to align with your risk management strategy. For instance, increasing the take profit multiplier may yield larger gains but could also increase exposure to market fluctuations. This flexibility makes it suitable for various trading styles, from aggressive scalpers to conservative swing traders. Conclusion The TQQQ EMA Crossover Strategy is an effective tool for traders seeking an edge in their trading endeavors. By utilizing fast and slow EMAs, this indicator provides clear entry and exit signals while allowing for customization to fit individual trading strategies. Whether you are a scalper looking for quick profits or a swing trader aiming for larger moves, this indicator offers valuable insights into market trends. Incorporate it into your TradingView toolkit today and elevate your trading performance!
Strategi Pine Script®
oleh Pineify
1
CoT Trend Change MomentumI discovered that whenever there's huge change in long IO or short IO there will be a momentum shift. So, I created this indicator to spot massive explosive volume changes for commercials and non commercials activity. Using standard deviation 2 and -2 as extreme point. Whatever crossing above standard deviation 2 indicating positions are added regardless whether it is long or shorts, whatever crossing below standard deviation -2 means positions are closed. This is how I use this indicator: 1) In this example , i use only the commercials long and shorts. Whenever the longs exceed stdeviation +2, means that long volume flow in massively, for me this can be indicating potential to the upside. Whenever longs fall below stdeviation-2, for me this can be indicating that commercials are either taking profits for the short positions or accumulating for another bull price. 2) For shorts same logic applied here, when it exceeds stdeviation +2, mean commercials shorts position increase massively, when it exceeds stdeviation-2, means that commercials closed their short positions. For this script, I use 13 weeks period as lookback, u guys may directly modify the period in the script to set the period that u want. I've added for non-commercials as well, to ease people who emphasizes on non-commercials positioning analysis process. I'm still trying to incorporate this with Open Interest Analysis. Hopefully u guys find this indicator useful. Feel free to modify it, to understand it more, my suggestions are u compare date by date the positions, to see the extreme points. The indicator only works in weekly chart, it is non repainted only in weekly chart, meaning that the indicator shows the histogram just as the week open.
Penunjuk Pine Script®
oleh Dixon_Chai
1
WaveTrend Oscillator PlusThe WaveTrend based on “Enhanced WaveTrend” of EliCobra. The WaveTrend Oscillator is a popular technical analysis tool used to identify overbought and oversold conditions in the market and generate trading signals. This indicator introduces additional features for improved analysis and comparison across assets. WaveTrend: The original WaveTrend indicator calculates two lines based on exponential moving averages and their relationship to the asset's price. The first line measures the distance between the asset's price and its EMA, while the second line smooths the first line over a specific period. The result is divided by 0.015 multiplied by the smoothed difference ('d' for reference). The indicator aims to identify overbought and oversold conditions by analyzing the relationship between the two lines. In the original formula, the rudimentary estimation factor 0.015 times 'd' fails to accomodate for approximately a quarter of the data, preventing the indicator from reaching the traditional stationary levels of +-100. This limitation renders the indicator quantitatively biased, as it relies on the user's subjective adjustment of the levels. The enhanced version replaces this factor with the standard deviation of the asset's price, resulting in improved estimation accuracy and provides a more dynamic and robust outcome, we thereafter multiply the result by 100 to achieve a more traditional oscillation. Enhancements and Features: Dynamic Estimation: The original indicator uses an arbitrary estimation factor, while the enhanced version replaces it with the standard deviation of the asset's price. This modification provides a more dynamic and accurate estimation, adapting to the specific price characteristics of each asset. Stationary Support and Resistance Levels: The enhanced version provides stationary key support and resistance levels that range from -150 to 150. These levels are determined based on the analysis of the indicator's data and encompass more than 95% of the indicator's values. These levels offer important reference points for traders to identify potential price reversals or significant price movements. Comparison Across Assets: The enhanced version allows for better comparison and analysis across different assets. By incorporating the standard deviation of the asset's price, the indicator provides a more consistent and comparable interpretation of the market conditions across multiple assets. Z-Score Analysis: The Z-Score is a statistical measurement that quantifies how far a particular data point deviates from the mean in terms of standard deviations. In the enhanced version, the calculation involves determining the basis (mean) and deviation (standard deviation) of the asset's price to calculate its Z-Score, thereafter applying a smoothing technique to generate the final WaveTrend value. Utility: The offers traders and investors valuable insights into overbought and oversold conditions in the market. By analyzing the indicator's values and referencing the stationary support and resistance levels, traders can identify potential trend reversals, evaluate market strength, and make better informed analysis. The following indicators were added: ⎆⎆ Squeeze Momentum Indicator ⎆⎆ Elliott Wave Oscillator ⎆⎆ Expert Trend Locator
Penunjuk Pine Script®
oleh OskarGallard
21
Trig-Log Scaled Momentum OscillatorTaylor Series Approximations for Trigonometry: 1. The indicator starts by calculating sine and cosine values of the close price using Taylor Series approximations. These approximations use polynomial terms to estimate the values of these trigonometric functions. Mathematical Component Formation: 2. The calculated sine and cosine values are then multiplied together. This gives us the primary mathematical component, termed as the 'trigComponent'. Smoothing Process: 3. To ensure that our indicator is less susceptible to market noise and more reactive to genuine price movements, this 'trigComponent' undergoes a smoothing process using a simple moving average (SMA). The length of this SMA is defined by the user. Logarithmic Transformation: 4. With our smoothed value, we apply a natural logarithm approximation. Again, this approximation is based on the Taylor expansion. This step ensures that all resultant values are positive and offers a different scale to interpret the smoothed component. Dynamic Scaling: 5. To make our indicator more readable and comparable over different periods, the logarithmically transformed values are scaled between a range. This range is determined by the highest and lowest values of the transformed component over the user-defined 'lookback' period. ROC (Rate of Change) Direction: 6. The direction of change in our scaled value is determined. This offers a quick insight into whether our mathematical component is increasing or decreasing compared to the previous value. Visualization: 7. Finally, the indicator plots the dynamically scaled and smoothed mathematical component on the chart. The color of the plotted line depends on its direction (increasing or decreasing) and its boundary values.
Penunjuk Pine Script®
oleh Uldisbebris
1