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SIP Evaluator and Screener [Trendoscope®]The SIP Evaluator and Screener is a Pine Script indicator designed for TradingView to calculate and visualize Systematic Investment Plan (SIP) returns across multiple investment instruments. It is tailored for use in TradingView's screener, enabling users to evaluate SIP performance for various assets efficiently. 🎲 How SIP Works A Systematic Investment Plan (SIP) is an investment strategy where a fixed amount is invested at regular intervals (e.g., monthly or weekly) into a financial instrument, such as stocks, mutual funds, or ETFs. The goal is to build wealth over time by leveraging the power of compounding and mitigating the impact of market volatility through disciplined, consistent investing. Here’s a breakdown of how SIPs function: Regular Investments : In an SIP, an investor commits to investing a fixed sum at predefined intervals, regardless of market conditions. This consistency helps inculcate a habit of saving and investing. Cost Averaging : By investing a fixed amount regularly, investors purchase more units when prices are low and fewer units when prices are high. This approach, known as dollar-cost averaging, reduces the average cost per unit over time and mitigates the risk of investing a large amount at a peak price. Compounding Benefits : Returns generated from the invested amount (e.g., capital gains or dividends) are reinvested, leading to exponential growth over the long term. The longer the investment horizon, the greater the potential for compounding to amplify returns. Dividend Reinvestment : In some SIPs, dividends received from the underlying asset can be reinvested to purchase additional units, further enhancing returns. Taxes on dividends, if applicable, may reduce the reinvested amount. Flexibility and Accessibility : SIPs allow investors to start with small amounts, making them accessible to a wide range of individuals. They also offer flexibility in terms of investment frequency and the ability to adjust or pause contributions. In the context of the SIP Evaluator and Screener , the script simulates an SIP by calculating the number of units purchased with each fixed investment, factoring in commissions, dividends, taxes and the chosen price reference (e.g., open, close, or average prices). It tracks the cumulative investment, equity value, and dividends over time, providing a clear picture of how an SIP would perform for a given instrument. This helps users understand the impact of regular investing and make informed decisions when comparing different assets in TradingView’s screener. It offers insights into key metrics such as total invested amount, dividends received, equity value, and the number of installments, making it a valuable resource for investors and traders interested in understanding long-term investment outcomes. 🎲 Key Features Customizable Investment Parameters: Users can define the recurring investment amount, price reference (e.g., open, close, HL2, HLC3, OHLC4), and whether fractional quantities are allowed. Commission Handling: Supports both fixed and percentage-based commission types, adjusting calculations accordingly. Dividend Reinvestment: Optionally reinvests dividends after a user-specified period, with the ability to apply tax on dividends. Time-Bound Analysis: Allows users to set a start year for the analysis, enabling historical performance evaluation. Flexible Dividend Periods: Dividends can be evaluated based on bars, days, weeks, or months. Visual Outputs: Plots key metrics like total invested amount, dividends, equity value, and remainder, with customizable display options for clarity in the data window and chart. 🎲 Using the script as an indicator on Tradingview Supercharts In order to use the indicator on charts, do the following. Load the instrument of your choice - Preferably a stable stocks, ETFs. Chose monthly timeframe as lower timeframes are insignificant in this type of investment strategy Load the indicator SIP Evaluator and Screener and set the input parameters as per your preference. Indicator plots, investment value, dividends and equity on the chart. 🎲 Visualizations Installments : Displays the number of SIP installments (gray line, visible in the data window). Invested Amount : Shows the cumulative amount invested, excluding reinvested dividends (blue area plot). Dividends : Tracks total dividends received (green area plot). Equity : Represents the current market value of the investment based on the closing price (purple area plot). Remainder : Indicates any uninvested cash after each installment (gray line, visible in the data window). 🎲 Deep dive into the settings The SIP Evaluator and Screener offers a range of customizable settings to tailor the Systematic Investment Plan (SIP) simulation to your preferences. Below is an explanation of each setting, its purpose, and how it impacts the analysis: 🎯 Duration Start Year (Default: 2020) : Specifies the year from which the SIP calculations begin. When Start Year is enabled via the timebound option, the script only considers data from the specified year onward. This is useful for analyzing historical SIP performance over a defined period. If disabled, the script uses all available data. Timebound (Default: False) : A toggle to enable or disable the Start Year restriction. When set to False, the SIP calculation starts from the earliest available data for the instrument. 🎯 Investment Recurring Investment (Default: 1000.0) : The fixed amount invested in each SIP installment (e.g., $1000 per period). This represents the regular contribution to the SIP and directly influences the total invested amount and quantity purchased. Allow Fractional Qty (Default: True) : When enabled, the script allows the purchase of fractional units (e.g., 2.35 shares). If disabled, only whole units are purchased (e.g., 2 shares), with any remaining funds carried forward as Remainder. This setting impacts the precision of investment allocation. Price Reference (Default: OPEN): Determines the price used for purchasing units in each SIP installment. Options include: OPEN : Uses the opening price of the bar. CLOSE : Uses the closing price of the bar. HL2 : Uses the average of the high and low prices. HLC3 : Uses the average of the high, low, and close prices. OHLC4 : Uses the average of the open, high, low, and close prices. This setting affects the cost basis of each purchase and, consequently, the total quantity and equity value. 🎯 Commission Commission (Default: 3) : The commission charged per SIP installment, expressed as either a fixed amount (e.g., $3) or a percentage (e.g., 3% of the investment). This reduces the amount available for purchasing units. Commission Type (Default: Fixed) : Specifies how the commission is calculated: Fixed ($) : A flat fee is deducted per installment (e.g., $3). Percentage (%) : A percentage of the investment amount is deducted as commission (e.g., 3% of $1000 = $30). This setting affects the net amount invested and the overall cost of the SIP. 🎯 Dividends Apply Tax On Dividends (Default: False) : When enabled, a tax is applied to dividends before they are reinvested or recorded. The tax rate is set via the Dividend Tax setting. Dividend Tax (Default: 47) : The percentage of tax deducted from dividends if Apply Tax On Dividends is enabled (e.g., 47% tax reduces a $100 dividend to $53). This reduces the amount available for reinvestment or accumulation. Reinvest Dividends After (Default: True, 2) : When enabled, dividends received are reinvested to purchase additional units after a specified period (e.g., 2 units of time, defined by Dividends Availability). If disabled, dividends are tracked but not reinvested. Reinvestment increases the total quantity and equity over time. Dividends Availability (Default: Bars) : Defines the time unit for evaluating when dividends are available for reinvestment. Options include: Bars : Based on the number of chart bars. Weeks : Based on weeks. Months : Based on months (approximated as 30.5 days). This setting determines the timing of dividend reinvestment relative to the Reinvest Dividends After period. 🎯 How Settings Interact These settings work together to simulate a realistic SIP. For example, a $1000 recurring investment with a 3% commission and fractional quantities enabled will calculate the number of units purchased at the chosen price reference after deducting the commission. If dividends are reinvested after 2 months with a 47% tax, the script fetches dividend data, applies the tax, and adds the net dividend to the investment amount for that period. The Start Year and Timebound settings ensure the analysis aligns with the desired timeframe, while the Dividends Availability setting fine-tunes dividend reinvestment timing. By adjusting these settings, users can model different SIP scenarios, compare performance across instruments in TradingView’s screener, and gain insights into how commissions, dividends, and price references impact long-term returns. 🎲 Using the script with Pine Screener The main purpose of developing this script is to use it with Tradingview Pine Screener so that multiple ETFs/Funds can be compared. In order to use this as a screener, the following things needs to be done. Add SIP Evaluator and Screener to your favourites (Required for it to be added in pine screener) Create a watch list containing required instruments to compare Open pine screener from Tradingview main menu Products -> Screeners -> Pine or simply load the URL - www.tradingview.com Select the watchlist created from Watchlist dropdown. Chose the SIP Evaluator and Screener from the "Choose Indicator" dropdown Set timeframe to 1 month and update settings as required. Press scan to display collected data on the screener. 🎲 Use Case This indicator is ideal for educational purposes, allowing users to experiment with SIP strategies across different instruments. It can be applied in TradingView’s screener to compare SIP performance for stocks, ETFs, or other assets, helping users understand how factors like commissions, dividends, and price references impact returns over time.
Penunjuk Pine Script®
oleh Trendoscope
2
StatMetricsLibrary "StatMetrics" A utility library for common statistical indicators and ratios used in technical analysis. Includes Z-Score, correlation, PLF, SRI, Sharpe, Sortino, Omega ratios, and normalization tools. zscore(src, len)   Calculates the Z-score of a series   Parameters:      src (float) : The input price or series (e.g., close)      len (simple int) : The lookback period for mean and standard deviation   Returns: Z-score: number of standard deviations the input is from the mean corr(x, y, len)   Computes Pearson correlation coefficient between two series   Parameters:      x (float) : First series      y (float) : Second series      len (simple int) : Lookback period   Returns: Correlation coefficient between -1 and 1 plf(src, longLen, shortLen, smoothLen)   Calculates the Price Lag Factor (PLF) as the difference between long and short Z-scores, normalized and smoothed   Parameters:      src (float) : Source series (e.g., close)      longLen (simple int) : Long Z-score period      shortLen (simple int) : Short Z-score period      smoothLen (simple int) : Hull MA smoothing length   Returns: Smoothed and normalized PLF oscillator sri(signal, len)   Computes the Statistical Reliability Index (SRI) based on trend persistence   Parameters:      signal (float) : A price or signal series (e.g., smoothed PLF)      len (simple int) : Lookback period for smoothing and deviation   Returns: Normalized trend reliability score sharpe(src, len)   Calculates the Sharpe Ratio over a period   Parameters:      src (float) : Price series (e.g., close)      len (simple int) : Lookback period   Returns: Sharpe ratio value sortino(src, len)   Calculates the Sortino Ratio over a period, using only downside volatility   Parameters:      src (float) : Price series      len (simple int) : Lookback period   Returns: Sortino ratio value omega(src, len)   Calculates the Omega Ratio as the ratio of upside to downside return area   Parameters:      src (float) : Price series      len (simple int) : Lookback period   Returns: Omega ratio value beta(asset, benchmark, len)   Calculates beta coefficient of asset vs benchmark using rolling covariance   Parameters:      asset (float) : Series of the asset (e.g., close)      benchmark (float) : Series of the benchmark (e.g., SPX close)      len (simple int) : Lookback window   Returns: Beta value (slope of linear regression) alpha(asset, benchmark, len)   Calculates rolling alpha of an asset relative to a benchmark   Parameters:      asset (float) : Series of the asset (e.g., close)      benchmark (float) : Series of the benchmark (e.g., SPX close)      len (simple int) : Lookback window   Returns: Alpha value (excess return not explained by Beta exposure) skew(x, len)   Computes skewness of a return series   Parameters:      x (float) : Input series (e.g., returns)      len (simple int) : Lookback period   Returns: Skewness value kurtosis(x, len)   Computes kurtosis of a return series   Parameters:      x (float) : Input series (e.g., returns)      len (simple int) : Lookback period   Returns: Kurtosis value cv(x, len)   Calculates Coefficient of Variation   Parameters:      x (float) : Input series (e.g., returns or prices)      len (simple int) : Lookback period   Returns: CV value autocorr(x, len)   Calculates autocorrelation with 1-lag   Parameters:      x (float) : Series to test      len (simple int) : Lookback window   Returns: Autocorrelation at lag 1 stderr(x, len)   Calculates rolling standard error of a series   Parameters:      x (float) : Input series      len (simple int) : Lookback window   Returns: Standard error (std dev / sqrt(n)) info_ratio(asset, benchmark, len)   Calculates the Information Ratio   Parameters:      asset (float) : Asset price series      benchmark (float) : Benchmark price series      len (simple int) : Lookback period   Returns: Information ratio (alpha / tracking error) tracking_error(asset, benchmark, len)   Measures deviation from benchmark (Tracking Error)   Parameters:      asset (float) : Asset return series      benchmark (float) : Benchmark return series      len (simple int) : Lookback window   Returns: Tracking error value max_drawdown(x, len)   Computes maximum drawdown over a rolling window   Parameters:      x (float) : Price series      len (simple int) : Lookback window   Returns: Rolling max drawdown percentage (as a negative value) zscore_signal(z, ob, os)   Converts Z-score into a 3-level signal   Parameters:      z (float) : Z-score series      ob (float) : Overbought threshold      os (float) : Oversold threshold   Returns: -1, 0, or 1 depending on signal state r_squared(x, y, len)   Calculates rolling R-squared (coefficient of determination)   Parameters:      x (float) : Asset returns      y (float) : Benchmark returns      len (simple int) : Lookback window   Returns: R-squared value (0 to 1) entropy(x, len)   Approximates Shannon entropy using log returns   Parameters:      x (float) : Price series      len (simple int) : Lookback period   Returns: Approximate entropy zreversal(z)   Detects Z-score reversals to the mean   Parameters:      z (float) : Z-score series   Returns: +1 on upward reversal, -1 on downward momentum_rank(x, len)   Calculates relative momentum strength   Parameters:      x (float) : Price series      len (simple int) : Lookback window   Returns: Proportion of lookback where current price is higher normalize(x, len)   Normalizes a series to a 0–1 range over a period   Parameters:      x (float) : The input series      len (simple int) : Lookback period   Returns: Normalized value between 0 and 1 composite_score(score1, score2, score3)   Combines multiple normalized scores into a composite score   Parameters:      score1 (float)      score2 (float)      score3 (float)   Returns: Average composite score
Perpustakaan Pine Script®
oleh RWCS_LTD
True Range eXpansion🕯️ TRX — True Range eXpansion Clean Candle Bodies · Volatility Bands · Adaptive Range Envelope System Not your grandfather’s candles. Not your brokerage’s bands. ---------------------------------------------------- TRX begins with a simple concept: visualize the true range of every candle, without the noise of flickering wicks. From there, it grows into a fully adaptive price visualization framework. What started as a candle-only visualizer evolved into a modular, user-controlled price engine. From wickless candle clarity to dynamic volatility envelopes, TRX adapts to you. There are plenty of band and channel indicators out there — Bollinger, Keltner, Donchian, Envelope, the whole crew. But none of them are built on the true candle range, adaptive ATR shaping, and full user control like TRX. This isn’t just another indicator — it’s a new framework. Most bands and channels are based on close price and statistical deviation — useful, but limited. TRX uses the full true range of each candle as its foundation, then applies customizable smoothing and directional ATR scaling to form a dynamic, volatility-reactive envelope. The result? Bands that breathe with the market — not lag behind it. ---------------------------------------------------- 🔧 Core Features: 🕯️ True Range Candles — Each candle is plotted from low to high, body-only, colored by open/close. 📈 Adjustable High/Low Moving Averages — Select your smoothing style: SMA, EMA, WMA, RMA, or HMA. 🌬️ ATR-Based Expansion — Bands dynamically breathe based on market volatility. 🔀 Per-Band Multipliers — Fine-tune expansion individually for the upper and lower bands. ⚖️ Basis Line — Optional centerline between bands for structure tracking and equilibrium zones. 🎛️ Full Visual Control — Width, transparency, color, on/off toggles for each element. ---------------------------------------------------- 🧠 Default Use Case: With the included default settings, TRX behaves like an evolved Bollinger Band system — based on True Range candle structure, not just close price and standard deviation. ---------------------------------------------------- 🔄 How to Zero Out the Bands (for Minimalist Use): Want just candles? A clean MA? Single band? You got it. ➤ Use TRX like a clean moving average: • Set ATR Multiplier to 0 • Set both Band ATR Adjustments to 0 • Leave the Basis Line ON or OFF — your call ➤ Show only candles (no bands at all): • Turn off "Show High/Low MAs" • Turn off Basis Line ➤ Single-line ceiling or floor tracking: • Set one band’s Transparency to 100 • Use the remaining band as a price envelope or support/resistance guide ---------------------------------------------------- 🧬 Notes: TRX can be made: • Spiky or silky (via smoothing & ATR) • Wide or tight (via multipliers) • Subtle or aggressive (via color/transparency) • Clean as a compass or dirty as a chaos meter Built by accident. Tuned with intention. Released to the world as one of the most adaptable and expressive visual overlays ever made. Created by Sherlock_MacGyver
Penunjuk Pine Script®
oleh Sherlock_MacGyver
Circuit % Marker w/ Mirrored Arrows📈 Indian Market Circuit Limit Change Tracker This indicator automatically tracks circuit limit changes (price bands) as applied in NSE/BSE stocks. 🧠 How It Works: Start from a user-defined initial circuit limit (e.g. 10%) If the upper or lower limit is hit, the script waits for a user-defined cooling period (e.g. 5 trading days) After that, it automatically adjusts to the next lower or higher band (e.g. from 10% to 5%) Shows a visual label with the current circuit % right on the chart — placed above or below candles for better visibility 🔧 Custom Inputs: Starting Circuit % — choose between standard NSE/BSE values (20%, 10%, 5%, 2%) Cooling Days — how many days must pass after a circuit hit before it’s allowed to change again Label Positioning, Color, and Size — fully customizable to suit your chart style 🚫 No Clutter: Doesn’t draw circuit limit lines Just clean, small labels at key turning points — as seen in real trading dashboards 🔍 Notes: NSE and BSE manually assign circuit bands — this script does not fetch live exchange data Use it as a visual tracker and simulator of how circuit behavior would evolve under fixed rules
Penunjuk Pine Script®
oleh bupumol
Consecutive Candles Above/Below EMADescription: This indicator identifies and highlights periods where the price remains consistently above or below an Exponential Moving Average (EMA) for a user-defined number of consecutive candles. It visually marks these sustained trends with background colors and labels, helping traders spot strong bullish or bearish market conditions. Ideal for trend-following strategies or identifying potential trend exhaustion points, this tool provides clear visual cues for price behavior relative to the EMA. How It Works: EMA Calculation: The indicator calculates an EMA based on the user-specified period (default: 100). The EMA is plotted as a blue line on the chart for reference. Consecutive Candle Tracking: It counts how many consecutive candles close above or below the EMA: If a candle closes below the EMA, the "below" counter increments; any candle closing above resets it to zero. If a candle closes above the EMA, the "above" counter increments; any candle closing below resets it to zero. Highlighting Trends: When the number of consecutive candles above or below the EMA meets or exceeds the user-defined threshold (default: 200 candles): A translucent red background highlights periods where the price has been below the EMA. A translucent green background highlights periods where the price has been above the EMA. Labeling: When the required number of consecutive candles is first reached: A red downward arrow label with the text "↓ Below" appears for below-EMA streaks. A green upward arrow label with the text "↑ Above" appears for above-EMA streaks. Usage: Trend Confirmation: Use the highlights and labels to confirm strong trends. For example, 200 candles above the EMA may indicate a robust uptrend. Reversal Signals: Prolonged streaks (e.g., 200+ candles) might suggest overextension, potentially signaling reversals. Customization: Adjust the EMA period to make it faster or slower, and modify the candle count to make the indicator more or less sensitive to trends. Settings: EMA Length: Set the period for the EMA calculation (default: 100). Candles Count: Define the minimum number of consecutive candles required to trigger highlights and labels (default: 200). Visuals: Blue EMA line for tracking the moving average. Red background for sustained below-EMA periods. Green background for sustained above-EMA periods. Labeled arrows to mark when the streak threshold is met. This indicator is a powerful tool for traders looking to visualize and capitalize on persistent price trends relative to the EMA, with clear, customizable signals for market analysis. Explain EMA calculation Other trend indicators Make description shorter
Penunjuk Pine Script®
oleh TheDivergentTrader
Parabolic RSI Strategy [ChartPrime × PineIndicators]This strategy combines the strengths of the Relative Strength Index (RSI) with a Parabolic SAR logic applied directly to RSI values. Full credit to ChartPrime for the original concept and indicator, licensed under the MPL 2.0. It provides clear momentum-based trade signals using an innovative method that tracks RSI trend reversals via a customized Parabolic SAR, enhancing traditional oscillator strategies with dynamic trend confirmation. How It Works The system overlays a Parabolic SAR on the RSI, detecting trend shifts in RSI itself rather than on price, offering early reversal insight with visual and algorithmic clarity. Core Components 1. RSI-Based Trend Detection Calculates RSI using a customizable length (default: 14). Uses upper and lower thresholds (default: 70/30) for overbought/oversold zones. 2. Parabolic SAR Applied to RSI A custom Parabolic SAR function tracks momentum within the RSI, not price. This allows the system to capture RSI trend reversals more responsively. Configurable SAR parameters: Start, Increment, and Maximum acceleration. 3. Signal Generation Long Entry: Triggered when the SAR flips below the RSI line. Short Entry: Triggered when the SAR flips above the RSI line. Optional RSI filter ensures that: Long entries only occur above a minimum RSI (e.g. 50). Short entries only occur below a maximum RSI. Built-in logic prevents new positions from being opened against trend without prior exit. Trade Modes & Controls Choose from: Long Only Short Only Long & Short Optional setting to reverse positions on opposite signal (instead of waiting for a flat close). Visual Features 1. RSI Plotting with Thresholds RSI is displayed in a dedicated pane with overbought/oversold fill zones. Custom horizontal lines mark threshold boundaries. 2. Parabolic SAR Overlay on RSI SAR dots color-coded for trend direction. Visible only when enabled by user input. 3. Entry & Exit Markers Diamonds: Mark entry points (above for shorts, below for longs). Crosses: Mark exit points. Strategy Strengths Provides early momentum reversal entries without relying on price candles. Combines oscillator and trend logic without repainting. Works well in both trending and mean-reverting markets. Easy to configure with fine-tuned filter options. Recommended Use Cases Intraday or swing traders who want to catch RSI-based reversals early. Traders seeking smoother signals than price-based Parabolic SAR entries. Users of RSI looking to reduce false positives via trend tracking. Customization Options RSI Length and Thresholds. SAR Start, Increment, and Maximum values. Trade Direction Mode (Long, Short, Both). Optional RSI filter and reverse-on-signal settings. SAR dot color customization. Conclusion The Parabolic RSI Strategy is an innovative, non-repainting momentum strategy that enhances RSI-based systems with trend-confirming logic using Parabolic SAR. By applying SAR logic to RSI values, this strategy offers early, visualized, and filtered entries and exits that adapt to market dynamics. Credit to ChartPrime for the original methodology, published under MPL-2.0.
Strategi Pine Script®
oleh PineIndicators
Market Sessions & LevelsOverview This Pine Script indicator identifies key trading levels and market sessions, making it easier for traders to analyze price movements. It highlights the previous day's high and low, tracks premarket price action, and marks the first 5-minute high and low after the market opens. Features ✅ Identifies Market Sessions: Pre-Market Session (4:30 AM - 9:30 AM EST) Regular Market Session (9:30 AM - 4:00 PM EST) ✅ Tracks Key Levels: Previous Day’s High & Low Premarket High & Low First 5-Minute High & Low after market open ✅ Visual Cues for Easy Analysis: Plots horizontal lines for each level with distinct colors Displays labels for key price levels on the chart How It Helps Traders 📊 Pre-Market Preparation: Helps traders spot key resistance/support levels before the market opens. 🚀 Momentum Trading: The first 5-minute high/low can act as breakout or reversal zones. 📉 Historical Price Context: Uses the previous day's high/low to gauge market sentiment. Customization The script can be easily modified to adjust session timings, colors, or additional levels based on your trading strategy. 💡 How to Use: Apply the script to a 1-minute or 5-minute chart for the most accurate premarket and first 5-minute tracking. Look for price reactions at the plotted levels to determine potential trade setups.
Penunjuk Pine Script®
oleh askhulal
MACD Boundary PSA - CoffeeKillerMACD Boundary PSA - CoffeeKiller Indicator Guide Welcome traders! This guide will walk you through the MACD Boundary PSA indicator, a powerful market analysis tool developed by CoffeeKiller that enhances the traditional MACD with advanced boundary detection and peak signaling features. 🔔 **Warning: This Indicator Has No Signal Line or MACD Line** 🔔 This indicator is my version of the MACD, that I use in conjunction with the Rev&Line indicator. Core Concept: Enhanced MACD Analysis The foundation of this indicator builds upon the classic Moving Average Convergence Divergence (MACD) indicator, adding boundary tracking and peak detection systems to provide clearer signals and market insights. Histogram Bars: Market Momentum - Positive Green Bars: Bullish momentum - Negative Red Bars: Bearish momentum - Color intensity varies based on momentum strength - Special coloring for new high/low boundaries Marker Lines: Dynamic Support/Resistance - High Marker Line (Magenta): Tracks the highest point reached during a bullish phase - Low Marker Line (Cyan): Tracks the lowest point reached during a bearish phase - Acts as dynamic boundaries that help identify strength of current moves Peak Detection System: - Triangular markers identify significant local maxima and minima - Background highlighting shows important momentum peaks - Helps identify potential reversal points and momentum exhaustion Core Components 1. MACD Calculation - Customizable fast and slow moving averages - Signal line smoothing options - Flexible MA type selection (SMA or EMA) - Custom source input options 2. Boundary Tracking System - Automatic detection of highest values in bullish phases - Automatic detection of lowest values in bearish phases - Step-line visualization of boundaries - Color-coded for easy identification 3. Peak Detection System - Identification of local maxima and minima - Background highlighting of significant peaks - Triangle markers for peak visualization - Zero-line cross detection for trend changes 4. Time Resolution Control - Normal mode: calculations based on chart timeframe - Custom resolution mode: calculations based on specified timeframe Main Features Time Resolution Settings - Normal mode: calculations match your chart's timeframe - Custom resolution mode: calculations based on specified timeframe - Helps identify stronger signals from other timeframes Visual Elements - Color-coded histogram bars - Dynamic marker lines for boundaries - Peak triangles for significant turning points - Background highlighting for peak identification Signal Generation - Zero-line crosses for trend change signals - Boundary breaks for momentum strength - Peak formation for potential reversals - Color changes for momentum direction Customization Options - MA types and lengths - Signal smoothing - Color schemes - Marker line visibility - Peak background display options Trading Applications 1. Trend Identification - Histogram crossing above zero: bullish trend beginning - Histogram crossing below zero: bearish trend beginning - Histogram color: indicates momentum direction - Consistent color intensity: trend strength 2. Reversal Detection - Peak triangles after extended trend: potential exhaustion - Background highlighting: significant reversal points - Histogram approaching marker lines: potential trend change - Color shifts from bright to muted: decreasing momentum 3. Momentum Analysis - Histogram breaking above previous high boundary: accelerating bullish momentum - Histogram breaking below previous low boundary: accelerating bearish momentum - Special coloring (magenta/cyan): boundary breaks indicating strength - Distance from zero line: overall momentum magnitude 4. Market Structure Assessment - Consecutive higher peaks: strengthening bullish structure - Consecutive lower troughs: strengthening bearish structure - Peak comparisons: relative strength of momentum phases - Boundary line steps: market structure levels Optimization Guide 1. MACD Settings - Fast Length: Shorter values (8-12) for responsiveness, longer values (20+) for smoother signals - Slow Length: Shorter values (21-34) for more signals, longer values (72+) for major moves - Default settings (22, 72, 9): balanced approach for most timeframes - Consider using 8, 21, 5 for shorter timeframes and 34, 144, 5 for longer timeframes 2. MA Type Selection - EMA: More responsive, follows price more closely - SMA: Smoother, fewer false signals, potentially more lag - Mix and match for oscillator and signal lines based on your preference 3. Time Resolution - Match chart timeframe: for aligned analysis - Use higher timeframe: for filtering signals - Lower timeframe: for earlier entries but more noise 4. Color Customization - Normal bullish/bearish colors: represent standard momentum - High/low marker line colors: customize visibility - Peak marker colors: adjust for your visual preference - Consider chart background when selecting colors Best Practices 1. Signal Confirmation - Wait for zero-line crosses to confirm trend changes - Look for peak formations to identify potential reversals - Check for boundary breaks to confirm strong momentum - Use custom timeframe option for higher timeframe confirmation 2. Timeframe Selection - Lower timeframes: more signals, potential noise - Higher timeframes: cleaner signals, less frequent - Custom resolution: allows comparison across timeframes - Consider using multiple timeframes for confirmation 3. Market Context - Strong bullish phase: positive histogram breaking above marker line - Strong bearish phase: negative histogram breaking below marker line - Histogram approaching zero: potential trend change - Peak formations: potential exhaustion points 4. Combining with Other Indicators - Use with trend indicators for confirmation - Pair with oscillators for overbought/oversold conditions - Combine with volume analysis for validation - Consider support/resistance levels with boundary lines Advanced Trading Strategies 1. Boundary Break Strategy - Enter long when histogram breaks above previous high marker line - Enter short when histogram breaks below previous low marker line - Use zero-line as initial stop-loss reference - Take profits at formation of opposing peaks 2. Peak Trading Strategy - Identify significant peaks with triangular markers - Look for consecutive lower peaks in bullish phases for shorting opportunities - Look for consecutive higher troughs in bearish phases for buying opportunities - Use zero-line crosses as confirmation 3. Multi-Timeframe Strategy - Use custom resolution for higher timeframe MACD trend - Enter trades when both timeframes align - Higher timeframe for trend direction - Chart timeframe for precise entry 4. Histogram Color Strategy - Enter long when histogram turns bright green (increasing momentum) - Enter short when histogram turns bright red (increasing momentum) - Exit when color intensity fades (decreasing momentum) - Use marker lines as dynamic support/resistance Practical Analysis Examples Bullish Market Scenario - Histogram crosses above zero line - Green bars grow in height and intensity - High marker line forms steps upward - Peak triangles appear at local maxima - Background highlights appear at significant momentum peaks Bearish Market Scenario - Histogram crosses below zero line - Red bars grow in depth and intensity - Low marker line forms steps downward - Peak triangles appear at local minima - Background highlights appear at significant momentum troughs Consolidation Scenario - Histogram oscillates around zero line - Bar colors alternate frequently - Marker lines remain relatively flat - Few or no new peak highlights appear - Histogram values remain small Understanding Market Dynamics Through MACD Boundary PSA At its core, this indicator provides a unique lens to visualize market momentum and boundaries: 1. Momentum Strength: The histogram height/depth shows the strength of current momentum, with color intensity providing additional context about acceleration or deceleration. 2. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of momentum in both directions, helping to identify when markets are making new momentum extremes. 3. Exhaustion Signals: The peak detection system highlights moments where momentum has reached a local maximum or minimum, often precursors to reversals or consolidations. 4. Trend Confirmation: The histogram color and intensity provide instant feedback about the current trend direction and strength, with special colors highlighting particularly significant moves. Remember: - Combine signals from histogram, marker lines, and peak formations - Use appropriate timeframe settings for your trading style - Customize the indicator to match your visual preferences - Consider market conditions and correlate with price action This indicator works best when: - Used as part of a comprehensive trading system - Combined with proper risk management - Applied with an understanding of current market conditions - Signals are confirmed by price action and other indicators **DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Penunjuk Pine Script®
oleh CoffeeKiller
Power Balance Bull&Bear - CoffeeKillerPower Balance Bull&Bear - CoffeeKiller Indicator Guide Welcome traders! This guide will walk you through the Power Balance Bull&Bear indicator, a unique and powerful market analysis tool developed by CoffeeKiller that visualizes the ongoing battle between buyers and sellers in any market. Core Concept: Buyers vs. Sellers The foundation of this indicator rests on a simple yet profound concept: every price movement in the market represents a battle between buyers and sellers. Positive Green Line: Buyer Power - Represents cumulative buying pressure in the market - Tracks positive directional movement over a specified period - Rising positive line indicates increasing buying momentum - Peaks in the positive line show moments of maximum buyer dominance Negative Red Line: Seller Power - Represents cumulative selling pressure in the market - Tracks negative directional movement over a specified period - Falling negative line indicates increasing selling momentum - Troughs in the negative line show moments of maximum seller dominance Master Line: Market Balance - Calculated as the difference between positive and negative movements - Above zero: buyers are in control - Below zero: sellers are in control - Peaks and troughs: moments of extreme buyer or seller dominance Core Components 1. Directional Movement Analysis - Cumulative measurement of price changes in both directions - Normalization for consistent visualization - Optional smoothing for clearer signals - Custom box size for sensitivity control 2. Distance Measurement - Calculation of separation between buyer and seller lines - Convergence and divergence thresholds - Dynamic fill coloring based on distance trends - Distance trend visualization 3. Peak Detection System - Identification of local maxima and minima in buyer/seller dominance - Background highlighting of significant peaks - Zero-line cross detection for trend changes - Visual cues for market extremes 4. Trend Analysis - Buyer/seller line crossovers for major trend signals - Distance trending for momentum confirmation - Status monitoring (Near, Far, Normal) - Direction tracking for both buyer and seller lines Main Features Time Resolution Settings - Normal mode: calculations based on chart timeframe - Custom resolution mode: calculations based on specified timeframe - Multi-timeframe analysis capabilities - Flexible time projection options Visual Elements - Color-coded buyer and seller lines - Dynamic fill coloring based on convergence/divergence - Background highlighting for significant peaks - Distance line with threshold markers Signal Generation - Buyer/seller crossover alerts - Convergence/divergence notifications - Peak detection signals - Status change alerts Analysis Table(I personally don't use the table it was coded to take longer signals to show strength or weakness in overall trend) - Current distance measurement - Distance trend indication - Status monitoring (Near, Far, Normal) - Buyer and seller line trend tracking Trading Applications 1. Trend Identification - Buyer line crossing above seller line: bullish trend beginning - Seller line crossing above buyer line: bearish trend beginning - Distance between lines: trend strength - Distance trending: momentum confirmation 2. Reversal Detection - Peak formation after extended trend: potential exhaustion - Buyer/seller line convergence: decreasing trend strength - Distance falling below convergence threshold: potential trend change - Background highlighting: visual cue for significant peaks 3. Momentum Analysis - Increasing distance: accelerating trend - Decreasing distance: decelerating trend - Distance above divergence threshold: strong momentum - Distance below convergence threshold: weak momentum 4. Market Balance Assessment - Buyer line trend: indicates strength/weakness of bulls - Seller line trend: indicates strength/weakness of bears - Master line position relative to zero: overall market bias - Distance between lines: consensus or disagreement in the market Optimization Guide 1. Period Settings - Longer period: smoother signals, less noise, fewer false signals - Shorter period: more responsive, captures minor moves, potentially more noise - Default (20): balanced approach for most timeframes 2. Box Size Parameter - Smaller box size: more sensitive to price changes - Larger box size: less sensitive, focuses on major moves - Default (0.001): calibrated for typical price ranges 3. Distance Thresholds - Convergence threshold: determines when lines are considered "near" - Divergence threshold: determines when lines are considered "far" - Adjusting these based on volatility of the instrument 4. Color Customization - Positive Green line: representing buyer strength - Negative Red line: representing seller strength - Diverging fill: when the gap between buyers and sellers is increasing - Converging fill: when buyers and sellers are moving closer together Best Practices 1. Signal Confirmation - Wait for buyer/seller crossovers to confirm - Look for background highlighting at peaks - Check distance trends for momentum confirmation - Use the analysis table for additional context 2. Timeframe Selection - Lower timeframes: more signals, potential noise - Higher timeframes: cleaner signals, less frequent - Custom resolution: allows comparison across timeframes - Consider using multiple timeframes for confirmation 3. Market Context - Strong buyer line rising + weak seller line: very bullish - Strong seller line falling + weak buyer line: very bearish - Both lines rising: volatile uptrend - Both lines falling: volatile downtrend 4. Combining with Other Indicators - Use with trend indicators for confirmation - Pair with oscillators for overbought/oversold conditions - Combine with volume analysis for validation - Consider support/resistance levels when peaks form Advanced Trading Strategies 1. Buyer/Seller Balance Strategy - Enter long when buyer line crosses above seller line - Enter short when seller line crosses above buyer line - Use distance trend for filtering quality of signals - Exit when distance falls below convergence threshold 2. Peak Trading Strategy - Identify significant peaks with background highlighting - Look for consecutive lower peaks in buyer line for shorting opportunities - Look for consecutive higher troughs in seller line for buying opportunities - Use master line crosses through zero as confirmation 3. Convergence/Divergence Strategy - Enter positions when distance exceeds divergence threshold (strong trend) - Take partial profits when distance starts decreasing - Exit fully when distance falls below convergence threshold - Re-enter when a new trend forms with increasing distance 4. Line Trend Combination Strategy - Strongest bullish signal: Rising buyer line + falling seller line + increasing distance - Strongest bearish signal: Falling buyer line + rising seller line + increasing distance - Potential reversal signal: Decreasing distance + peak formation + line trend change - Continuation signal: Consistent buyer/seller dominance + increasing distance after consolidation Practical Analysis Examples Bullish Market Scenario - Buyer line trends upward as buying pressure increases - Seller line remains flat or trends downward as selling pressure decreases - Distance between lines expands, showing divergence (strong trend) - Positive background highlights appear at new peaks in buyer dominance - Master line moves further above zero Bearish Market Scenario - Seller line trends downward as selling pressure increases - Buyer line remains flat or trends downward as buying pressure decreases - Distance between lines expands, showing divergence (strong trend) - Negative background highlights appear at new troughs in seller dominance - Master line moves further below zero Consolidation Scenario - Buyer and seller lines move sideways - Distance between lines narrows, showing convergence - Few or no new peak highlights appear - Master line oscillates close to the zero line - Analysis table shows "Stable" trends for both buyer and seller lines Understanding Market Dynamics Through Power Balance At its core, this indicator provides a unique lens to visualize the ongoing battle between bulls and bears: 1. **Relative Strength**: When the buyer line rises faster than the seller line, bulls are gaining strength relative to bears - a bullish signal. When the seller line falls faster than the buyer line, bears are dominating - a bearish signal. 2. **Market Consensus**: Convergence between lines suggests market participants are reaching consensus about price direction. Divergence suggests growing disagreement and potential for stronger moves. 3. **Exhaustion Signals**: Major peaks in either line that are highlighted by background colors suggest moments where one side (buyers or sellers) has reached maximum strength - often precursors to reversals. 4. **Trend Confirmation**: The status indicators (Near, Far, Normal) provide context about the current market phase, helping confirm whether a trend is establishing, continuing strongly, or potentially fading. Remember: - Combine signals from buyer/seller lines, distance measurements, and peak formations - Use appropriate timeframe settings for your trading style - Monitor the analysis table for additional context - Consider market conditions and correlate with price action This indicator works best when: - Used as part of a comprehensive trading system - Combined with proper risk management - Applied with an understanding of current market conditions - Signals are confirmed by price action and other indicators **DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Penunjuk Pine Script®
oleh CoffeeKiller
TSI Long/Short for BTC 2HThe TSI Long/Short for BTC 2H strategy is an advanced trend-following system designed specifically for trading Bitcoin (BTC) on a 2-hour timeframe. It leverages the True Strength Index (TSI) to identify momentum shifts and executes both long and short trades in response to dynamic market conditions. Unlike traditional moving average-based strategies, this script uses a double-smoothed momentum calculation, enhancing signal accuracy and reducing noise. It incorporates automated position sizing, customizable leverage, and real-time performance tracking, ensuring a structured and adaptable trading approach. 🔹 What Makes This Strategy Unique? Unlike simple crossover strategies or generic trend-following approaches, this system utilizes a customized True Strength Index (TSI) methodology that dynamically adjusts to market conditions. 🔸 True Strength Index (TSI) Filtering – The script refines the TSI by applying double exponential smoothing, filtering out weak signals and capturing high-confidence momentum shifts. 🔸 Adaptive Entry & Exit Logic – Instead of fixed thresholds, it compares the TSI value against a dynamically determined high/low range from the past 100 bars to confirm trade signals. 🔸 Leverage & Risk Optimization – Position sizing is dynamically adjusted based on account equity and leverage settings, ensuring controlled risk exposure. 🔸 Performance Monitoring System – A built-in performance tracking table allows traders to evaluate monthly and yearly results directly on the chart. 📊 Core Strategy Components 1️⃣ Momentum-Based Trade Execution The strategy generates long and short trade signals based on the following conditions: ✅ Long Entry Condition – A buy signal is triggered when the TSI crosses above its 100-bar highest value (previously set), confirming bullish momentum. ✅ Short Entry Condition – A sell signal is generated when the TSI crosses below its 100-bar lowest value (previously set), indicating bearish pressure. Each trade execution is fully automated, reducing emotional decision-making and improving trading discipline. 2️⃣ Position Sizing & Leverage Control Risk management is a key focus of this strategy: 🔹 Dynamic Position Sizing – The script calculates position size based on: Account Equity – Ensuring trade sizes adjust dynamically with capital fluctuations. Leverage Multiplier – Allows traders to customize risk exposure via an adjustable leverage setting. 🔹 No Fixed Stop-Loss – The strategy relies on reversals to exit trades, meaning each position is closed when the opposite signal appears. This design ensures maximum capital efficiency while adapting to market conditions in real time. 3️⃣ Performance Visualization & Tracking Understanding historical performance is crucial for refining strategies. The script includes: 📌 Real-Time Trade Markers – Buy and sell signals are visually displayed on the chart for easy reference. 📌 Performance Metrics Table – Tracks monthly and yearly returns in percentage form, helping traders assess profitability over time. 📌 Trade History Visualization – Completed trades are displayed with color-coded boxes (green for long trades, red for short trades), visually representing profit/loss dynamics. 📢 Why Use This Strategy? ✔ Advanced Momentum Detection – Uses a double-smoothed TSI for more accurate trend signals. ✔ Fully Automated Trading – Removes emotional bias and enforces discipline. ✔ Customizable Risk Management – Adjust leverage and position sizing to suit your risk profile. ✔ Comprehensive Performance Tracking – Integrated reporting system provides clear insights into past trades. This strategy is ideal for Bitcoin traders looking for a structured, high-probability system that adapts to both bullish and bearish trends on the 2-hour timeframe. 📌 How to Use: Simply add the script to your 2H BTC chart, configure your leverage settings, and let the system handle trade execution and tracking! 🚀
Strategi Pine Script®
oleh PineIndicators
SASDv2rSensitive Altcoin Season Detector V2 This Pine Script™ code, titled "SASDv2r" (Sensitive Altcoin Season Detector version 2 revised), is designed for cryptocurrency trading analysis on the TradingView platform and tailored for those interested in tracking when altcoins might be outperforming Bitcoin, potentially indicating a market shift towards altcoins. Feel free to use and modify. If you made it better, please let me know. Intention was to help the community with a tool for retail traders have no access to advanced, MV indicators. Solution uses classic TA only. Use it witl TOTAL3/BTC indicator. Please check: it gave signal just before last alt season % rose more than 250%. Market Cap Data Fetching: The script fetches market capitalization data for Bitcoin, Ethereum, and all other altcoins (excluding Bitcoin and Ethereum) using request.security function. Altcoin to Bitcoin Ratio: It calculates the ratio of total market cap of altcoins to Bitcoin's market cap (altToBtcRatio), which is central to identifying an "altcoin season." Moving Averages: Several moving averages are computed for different time frames (50-day SMA, 200-day SMA, 20-day SMA, and 10-day EMA) to analyze trends in the altcoin to Bitcoin ratio. Momentum Indicators: The script uses RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) to gauge momentum and potential reversal points in the market. Custom Indicators: It includes Volume Weighted Moving Average (VWMA) and a custom momentum indicator (altMomentum and altMomentumAvg) to provide additional insights into market movements. Volatility Measurement: Bollinger Bands are calculated to assess volatility in the altcoin to Bitcoin ratio, which helps identify periods of high or low market activity. Visual Analysis: Various plots are added to the chart for visual interpretation, including the altcoin to Bitcoin ratio, different moving averages, and Bollinger Bands. Alt Season Detection: The script defines conditions for detecting when an "altcoin season" might be starting, based on crossovers of moving averages, RSI levels, MACD signals, and other custom criteria. Performance Tracking: After signaling an alt season, the script evaluates the performance over the next 30 days by checking if there's been an increase in the altcoin to Bitcoin ratio, adding labels for positive or negative trends.(this one is in progress). Logic still gives false signals and aim is to identify failed signals. Visual Signals: Labels are placed on the chart to visually indicate the beginning of a potential alt season or the performance outcome after a signal, aiding traders in making informed decisions.
Penunjuk Pine Script®
oleh SVTPremium
Previous Key Levels (fadi)Previous Key Levels indicator is a highly configurable OHLC levels tool designed to provide traders with the ability to plot multiple levels while minimizing screen clutter. This indicator is perfect for those who want to monitor various timeframes simultaneously without overloading their charts with unnecessary information. How to Use It This indicator offers traders the flexibility to track up to 6 higher timeframes (HTFs) and multiple candles for each timeframe. For example, a trader can choose to monitor the OHLC of the last four 4-hour candles, providing a comprehensive view of significant price levels over different periods. Key Features Highly Configurable: Customize the number of timeframes and candles to suit your trading strategy. Minimal Screen Clutter: Efficiently plot multiple levels without overwhelming your chart. Flexible Application: Ideal for identifying support and resistance levels, liquidity sweeps, target levels, and more, adapting to various trading styles. Traders have diverse trading styles and preferences. Some may use these levels to identify support and resistance zones, while others might look for liquidity sweeps or set target levels. By offering a high degree of customization, the Previous Key Levels indicator caters to the unique needs of individual traders, helping them make informed decisions based on historical price action across multiple timeframes. Timeframe Settings Toggle to track 6 HTF settings and the number of candles to track for each. Limit to next HTFs only can be used to limit the HTF levels displayed based on the current timeframe. Hide Above will disable the indicator above the specified interval. Offset to Left and Right are used to specify where the level line starts and ends based on the current candle. Offset between HTFs extends HTF levels to become more readable. HTF Settings Choice of the OHLC levels to track. Specify the color, line style, and line width for each level. Mark the start of that level, for example, draw a vertical line where the 4H candle has started. Trace back to draw optional lines to track back to the origin of the level. Label Settings Highly configurable labels that allow traders to customize the labels to their liking. Label color, background, and size. Customize using up to 9 configurable parts. Fading Levels To prevent clutter, the indicator offers the option to change the transparency of the levels based on their distance from the current price. The distance is calculated based on a configurable Average True Range (ATR). Change Transparency to a percentage of its current color. Range should be within X candles will fade any level that is X candles length away from the current price. ATR length used in calculation will calculate the average size of candles in the calculation.
Penunjuk Pine Script®
oleh fadizeidan
27
WhalenatorThis custom TradingView indicator combines multiple analytic techniques to help identify potential market trends, areas of support and resistance, and zones of heightened trading activity. It incorporates a SuperTrend-like line based on ATR, Keltner Channels for volatility-based price envelopes, and dynamic order blocks derived from significant volume and pivot points. Additionally, it highlights “whale” activities—periods of exceptionally large volume—along with an estimated volume profile level and approximate bid/ask volume distribution. Together, these features aim to offer traders a more comprehensive view of price structure, volatility, and institutional participation. This custom TradingView indicator integrates multiple trading concepts into a single, visually descriptive tool. Its primary goal is to help traders identify directional bias, volatility levels, significant volume events, and potential support/resistance zones on a price chart. Below are the main components and their functionalities: SuperTrend-Like Line (Trend Bias): At the core of the indicator is a trend-following line inspired by the SuperTrend concept, which uses Average True Range (ATR) to adaptively set trailing stop levels. By comparing price to these levels, the line attempts to indicate when the market is in an uptrend (price above the line) or a downtrend (price below the line). The shifting levels can provide a dynamic sense of direction and help traders stay with the predominant trend until it shifts. Keltner Channels (Volatility and Range): Keltner Channels, based on an exponential moving average and Average True Range, form volatility-based envelopes around price. They help traders visualize whether price is extended (touching or moving outside the upper/lower band) or trading within a stable range. This can be useful in identifying low-volatility consolidations and high-volatility breakouts. Dynamic Order Blocks (Approximations of Supply/Demand Zones): By detecting pivot highs and lows under conditions of significant volume, the indicator approximates "order blocks." Order blocks are areas where institutional buying or selling may have occurred, potentially acting as future support or resistance zones. Although these approximations are not perfect, they offer a visual cue to areas on the chart where price might react strongly if revisited. Volume Profile Proxy and Whale Detection: The indicator highlights price levels associated with recent maximum volume activity, providing a rough "volume profile" reference. Such levels often become key points of price interaction. "Whale" detection logic attempts to identify bars where exceptionally large volume occurs (beyond a defined threshold). By tracking these "whale bars," traders can infer where heavy participation—often from large traders or institutions—may influence market direction or create zones of interest. Approximate Bid/Ask Volume and Dollar Volume Tracking: The script estimates whether volume within each bar leans more towards the bid or the ask side, aiming to understand which participant (buyers or sellers) might have been more aggressive. Additionally, it calculates dollar volume (close price multiplied by volume) and provides an average to gauge the relative participation strength over time. Labeling and Visual Aids: Dynamic labels display Whale Frequency (the ratio of bars with exceptionally large volume), average dollar volume, and approximate ask/bid volume metrics. This gives traders at-a-glance insights into current market conditions, participation, and sentiment. Strengths: Multifaceted Analysis: By combining trend, volatility, volume, and order block logic in one place, the indicator saves chart space and simplifies the analytical process. Traders gain a holistic view without flipping between multiple separate tools. Adaptable to Market Conditions: The use of ATR and Keltner Channels adapts to changing volatility conditions. The SuperTrend-like line helps keep traders aligned with the prevailing trend, avoiding constant whipsaws in choppy markets. Volume-Based Insights: Integrating whale detection and a crude volume profile proxy helps traders understand where large players might be interacting. This perspective can highlight critical levels that might not be evident from price action alone. Convenient Visual Cues and Labels: The indicator provides quick reference points and textual information about the underlying volume dynamics, making decision-making potentially faster and more informed. Weaknesses: Heuristic and Approximate Nature: Many of the indicator’s features, like the "order blocks," "whale detection," and the approximate bid/ask volume, rely on heuristics and assumptions that may not always be accurate. Without actual Level II data or true volume profiles, the insights are best considered as supplementary, not definitive signals. Lagging Components: Indicators that rely on past data, like ATR-based trends or moving averages for Keltner Channels, inherently lag behind price. This can cause delayed signals, particularly in fast-moving markets, potentially missing some early opportunities or late in confirming market reversals. No Guaranteed Predictive Power: As with any technical tool, it does not forecast the future with certainty. Strong volume at a certain level or a bullish SuperTrend reading does not guarantee price will continue in that direction. Market conditions can change unexpectedly, and false signals will occur. Complexity and Overreliance Risk: With multiple signals combined, there’s a risk of information overload. Traders might feel compelled to rely too heavily on this one tool. Without complementary analysis (fundamentals, news, or additional technical confirmation), overreliance on the indicator could lead to misguided trades. Conclusion: This integrated indicator offers a comprehensive visual guide to market structure, volatility, and activity. Its strength lies in providing a multi-dimensional viewpoint in a single tool. However, traders should remain aware of its approximations, inherent lags, and the potential for conflicting signals. Sound risk management, position sizing, and the use of complementary analysis methods remain essential for trading success. Risks Associated with Trading: No indicator can guarantee profitable trades or accurately predict future price movements. Market conditions are inherently unpredictable, and reliance on any single tool or combination of tools carries the risk of financial loss. Traders should practice sound risk management, including the use of stop losses and position sizing, and should not trade with funds they cannot afford to lose. Ultimately, decisions should be guided by a thorough trading plan and possibly supplemented with other forms of market analysis or professional advice. Risks and Important Considerations: • Not a Standalone Tool: • This indicator should not be used in isolation. It is essential to incorporate additional technical analysis tools, fundamental analysis, and market context when making trading decisions. • Relying solely on this indicator may lead to incomplete assessments of market conditions. • Market Volatility and False Signals: • Financial markets can be highly volatile, and indicators based on historical data may not accurately predict future movements. • The indicator may produce false signals due to sudden market changes, low liquidity, or atypical trading activity. • Risk Management: • Always employ robust risk management strategies, including setting stop-loss orders, diversifying your portfolio, and not over-leveraging positions. • Understand that no indicator guarantees success, and losses are a natural part of trading. • Emotional Discipline: • Avoid making impulsive decisions based on indicator signals alone. • Emotional trading can lead to significant financial losses; maintain discipline and adhere to a well-thought-out trading plan. • Continuous Learning and Adaptation: • Stay informed about market news, economic indicators, and global events that may impact trading conditions. • Continuously evaluate and adjust your trading strategies as market dynamics evolve. • Consultation with Professionals: • Consider seeking advice from financial advisors or professional traders to understand better how this indicator can fit into your overall trading strategy. • Professional guidance can provide personalized insights based on your financial goals and risk tolerance. Disclaimer: Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions. Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Penunjuk Pine Script®
oleh DinoTradez
10% Drop from Current High - Akshay10% Drop from Current High TradingView Indicator Description: The "10% Drop from Current High" indicator dynamically tracks the highest price within a user-defined period and highlights when the current price drops by a specified percentage. This tool is invaluable for traders looking to monitor significant pullbacks or corrections from recent highs. Key Features: Customizable Drop Percentage: Allows users to set the percentage drop to track, with a default value of 10%. Configurable via an input field to suit different trading strategies and market conditions. Lookback Period: Tracks the highest price over a user-defined lookback period (default is 20 bars). This ensures the indicator adapts to short-term or long-term market conditions based on user preferences. Dynamic Levels: Current High Level: Plots the highest price within the lookback period in blue. Drop Level: Plots the calculated drop level (e.g., 10% below the current high) in red. Visual Alerts: Background Highlighting: A translucent red background appears when the current price is at or below the drop level, signaling a significant pullback. Shape Marker: A downward label is plotted below the bar when the price touches or falls below the drop level, providing cSet Alerts:lear visual feedback. Overlay on Price Chart: The indicator is plotted directly on the price chart (overlay=true), ensuring seamless integration with other technical analysis tools. Use Case: This indicator is designed for traders who want to: Monitor Pullbacks: Identify when the price of an asset experiences a defined percentage drop from its recent high, signaling potential reversal zones or buying opportunities. Use visual cues to react quickly to price movements. Analyze Trends: Combine with other indicators to assess the strength of trends and corrections. Customization Options: Drop Percentage: Adjust the percentage drop to track based on asset volatility and trading strategy. Lookback Period: Modify the lookback period to focus on short-term (e.g., 5 bars) or long-term (e.g., 50 bars) price highs. This indicator provides a flexible and intuitive way to track price pullbacks, helping traders make informed decisions and stay ahead in dynamic market conditions.
Penunjuk Pine Script®
oleh CARasagnya
1
Price BoundariesThe "Price Boundaries" indicator provides a dynamic framework to monitor an asset's price extremes over time. By identifying and tracking the highest and lowest levels, it equips traders with essential insights into market trends and potential trading ranges. Main Features: Adaptive Price Tracking: Continuously updates the maximum and minimum price points as the market fluctuates. Displays these levels visually on the chart using distinct color-coded lines. Proportional Range Analysis: Calculates the percentage difference between the current price and the identified high/low boundaries, offering a clear measure of price positioning within the range. Shaded Visualization: Adds visually appealing shaded zones to highlight the gaps between the price and its boundaries, enhancing clarity for traders. Real-Time Functionality: Processes price data dynamically, ensuring that the displayed boundaries and calculations reflect the latest market movements. This tool is ideal for traders who want to pinpoint key market levels and assess the likelihood of price reversals or breakouts. The clear visualization of price dynamics allows for informed decision-making and better risk management.
Penunjuk Pine Script®
oleh dboichenko
Economic Seasons [Daveatt]Ever wondered what season your economy is in? Just like Mother Nature has her four seasons, the economy cycles through its own seasons! This indicator helps you visualize where we are in the economic cycle by tracking two key metrics: 📊 What We're Tracking: 1. Interest Rates (USIRYY) - The yearly change in interest rates 2. Inflation Rate (USINTR) - The rate at which prices are rising The magic happens when we normalize these values (fancy math that makes the numbers play nice together) and compare them to their recent averages. We use a lookback period to calculate the standard deviation and determine if we're seeing higher or lower than normal readings. 🔄 The Four Economic Seasons & Investment Strategy: 1. 🌸 Goldilocks (↑Growth, ↓Inflation) "Not too hot, not too cold" - The economy is growing steadily without overheating. BEST TIME TO: Buy growth stocks, technology, consumer discretionary WHY: Companies can grow earnings in this ideal environment of low rates and stable prices 2. 🌞 Reflation (↑Growth, ↑Inflation) "Party time... but watch your wallet!" - The economy is heating up. BEST TIME TO: Buy commodities, banking stocks, real estate WHY: These sectors thrive when inflation rises alongside growth 3. 🌡️ Inflation (↓Growth, ↑Inflation) "Ouch, my purchasing power!" - Growth slows while prices keep rising. BEST TIME TO: Rotate into value stocks, consumer staples, healthcare WHY: These defensive sectors maintain pricing power during inflationary periods 4. ❄️ Deflation (↓Growth, ↓Inflation) "Winter is here" - Both growth and inflation are falling. BEST TIME TO: Focus on quality bonds, cash positions, and dividend aristocrats WHY: Capital preservation becomes key; high-quality fixed income provides safety 🎯 Strategic Trading Points: - BUY AGGRESSIVELY: During late Deflation/early Goldilocks (the spring thaw) - HOLD & ACCUMULATE: Throughout Goldilocks and early Reflation - START TAKING PROFITS: During late Reflation/early Inflation - DEFENSIVE POSITIONING: Throughout Inflation and Deflation ⚠️ Warning Signs to Watch: - Goldilocks → Reflation: Time to reduce growth stock exposure - Reflation → Inflation: Begin rotating into defensive sectors - Inflation → Deflation: Quality becomes crucial - Deflation → Goldilocks: Start building new positions The blue dot shows you where we are right now in this cycle. The red arrows in the middle remind us that this is a continuous cycle - one season flows into the next, just like in nature! 💡 Pro Tip: The transitions between seasons often provide the best opportunities - but also the highest risks. Use additional indicators and fundamental analysis to confirm these shifts. Remember: Just like you wouldn't wear a winter coat in summer, you shouldn't use a Goldilocks strategy during Inflation! Time your trades with the seasons. 🎯 Happy Trading! 📈
Penunjuk Pine Script®
oleh Daveatt
Multiple ATR Lines with Current Price PercentageThis indicator plots multiple lines based on the Average True Range (ATR) on the chart, helping traders identify potential support and resistance levels. Specifically, it draws three lines above the price and three lines below the price at different multiples of the ATR. Additionally, it plots a dynamic line at the current price level, which shows how much percentage of the ATR the current price has traveled from a specific point. How it works: ATR-Based Lines: The indicator calculates three upper and three lower levels based on the ATR of the selected period. These levels represent 1x, 2x, and 3x ATR above and below the current price. Current Price Line: A dotted line follows the current price, displaying the percentage of the ATR that the price has moved. Labels: Each line is labeled with its respective ATR multiple (1x ATR, 2x ATR, 3x ATR), and the current price line shows the percentage of the ATR traveled. Use Cases: Identifying Market Volatility: Traders can use this indicator to see how far the price has moved relative to its average volatility. Support and Resistance Levels: The ATR lines can be treated as potential support and resistance zones, providing insight into price targets or stop-loss placement. Dynamic Tracking: The percentage of ATR traveled helps traders understand the market momentum relative to its historical volatility. Settings: ATR Length: The user can adjust the length of the ATR calculation period. ATR Multiplier: A multiplier to adjust the distance of the lines relative to the ATR. Advantages: Clear visualization of market volatility through ATR-based levels. Real-time tracking of the price’s movement relative to ATR, giving traders a better understanding of price action. Customizable settings for different trading styles.
Penunjuk Pine Script®
oleh ahmad_salehi
1
Interest Rate Trading (Manually Added Rate Decisions) [TANHEF]Interest Rate Trading: How Interest Rates Can Guide Your Next Move. How were interest rate decisions added? All interest rate decision dates were manually retrieved from the 'Record of Policy Actions' and 'Minutes of Actions' on the Federal Reserve's website due to inconsistent dates from other sources. These were manually added as Pine Script currently only identifies rate changes, not pauses. █ Simple Explanation: This script is designed for analyzing and backtesting trading strategies based on U.S. interest rate decisions which occur during Federal Open Market Committee (FOMC) meetings, to make trading decisions. No trading strategy is perfect, and it's important to understand that expectations won't always play out. The script leverages historical interest rate changes, including increases, decreases, and pauses, across multiple economic time periods from 1971 to the present. The tool integrates two key data sources for interest rates—USINTR and FEDFUNDS—to support decision-making around rate-based trades. The focus is on identifying opportunities and tracking trades driven by interest rate movements. █ Interest Rate Decision Sources: As noted above, each decision date has been manually added from the 'Record of Policy Actions' and 'Minutes of Actions' documents on the Federal Reserve's website. This includes +50 years of more than 600 rate decisions. █ Interest Rate Data Sources: USINTR: Reflects broader U.S. interest rate trends, including Treasury yields and various benchmarks. This is the preferred option as it corresponds well to the rate decision dates. FEDFUNDS: Tracks the Federal Funds Rate, which is a more specific rate targeted by the Federal Reserve. This does not change on the exact same days as the rate decisions that occur at FOMC meetings. █ Trade Criteria: A variety of trading conditions are predefined to suit different trading strategies. These conditions include: Increase/Decrease: Standard rate increases or decreases. Double/Triple Increase/Decrease: A series of consecutive changes. Aggressive Increase/Decrease: Rate changes that exceed recent movements. Pause: Identification of no changes (pauses) between rate decisions, including double or triple pauses. Complex Patterns: Combinations of pauses, increases, or decreases, such as "Pause after Increase" or "Pause or Increase." █ Trade Execution and Exit: The script allows automated trade execution based on selected criteria: Auto-Entry: Option to enter trades automatically at the first valid period. Max Trade Duration: Optional exit of trades after a specified number of bars (candles). Pause Days: Minimum duration (in days) to validate rate pauses as entry conditions. This is especially useful for earlier periods (prior to the 2000s), where rate decisions often seemed random compared to the consistency we see today. █ Visualization: Several visual elements enhance the backtesting experience: Time Period Highlighting: Economic time periods are visually segmented on the chart, each with a unique color. These periods include historical phases such as "Stagflation (1971-1982)" and "Post-Pandemic Recovery (2021-Present)". Trade and Holding Results: Displays the profit and loss of trades and holding results directly on the chart. Interest Rate Plot: Plots the interest rate movements on the chart, allowing for real-time tracking of rate changes. Trade Status: Highlights active long or short positions on the chart. █ Statistics and Criteria Display: Stats Table: Summarizes trade results, including wins, losses, and draw percentages for both long and short trades. Criteria Table: Lists the selected entry and exit criteria for both long and short positions. █ Economic Time Periods: The script organizes interest rate decisions into well-defined economic periods, allowing traders to backtest strategies specific to historical contexts like: (1971-1982) Stagflation (1983-1990) Reaganomics and Deregulation (1991-1994) Early 1990s (Recession and Recovery) (1995-2001) Dot-Com Bubble (2001-2006) Housing Boom (2007-2009) Global Financial Crisis (2009-2015) Great Recession Recovery (2015-2019) Normalization Period (2019-2021) COVID-19 Pandemic (2021-Present) Post-Pandemic Recovery █ User-Configurable Inputs: Rate Source Selection: Choose between USINTR or FEDFUNDS as the primary interest rate source. Trade Criteria Customization: Users can select the criteria for long and short trades, specifying when to enter or exit based on changes in the interest rate. Time Period: Select the time period that you want to isolate testing a strategy with. Auto-Entry and Pause Settings: Options to automatically enter trades and specify the number of days to confirm a rate pause. Max Trade Duration: Limits how long trades can remain open, defined by the number of bars. █ Trade Logic: The script manages entries and exits for both long and short trades. It calculates the profit or loss percentage based on the entry and exit prices. The script tracks ongoing trades, dynamically updating the profit or loss as price changes. █ Examples: One of the most popular opinions is that when rate starts begin you should sell, then buy back in when rate cuts stop dropping. However, this can be easily proven to be a difficult task. Predicting the end of a rate cut is very difficult to do with the the exception that assumes rates will not fall below 0.25%. 2001-2009 Trade Result: +29.85% Holding Result: -27.74% 1971-2024 Trade Result: +533% Holding Result: +5901% █ Backtest and Real-Time Use: This backtester is useful for historical analysis and real-time trading. By setting up various entry and exit rules tied to interest rate movements, traders can test and refine strategies based on real historical data and rate decision trends. This powerful tool allows traders to customize strategies, backtest them through different economic periods, and get visual feedback on their trading performance, helping to make more informed decisions based on interest rate dynamics. The main goal of this indicator is to challenge the belief that future events must mirror the 2001 and 2007 rate cuts. If everyone expects something to happen, it usually doesn’t.
Penunjuk Pine Script®
oleh TanHef
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades Overview The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities. This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions. Originality and Usefulness The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals. The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions. How the Components Work Together 1. Cross-Validation of Signals WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals. RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals. Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume. Example Bullish scenario: When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. Example Bearish scenario: When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. 2. Divergence Detection and Market Reversals Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high. Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy. Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market. A Regular Bullish Divergence Example: A Hidden Bullish Divergence Example: A Regular Bearish Divergence Example: A Hidden Bearish Divergence Example: 3. Trend Strength and Sentiment Analysis WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals. Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse. RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal. Example: During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Example: During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Conclusion The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics. WAVETREND Display of WaveTrend: Display of WaveTrend Setting: WaveTrend Indicator Explanation The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis. WaveTrend Input Settings: WT MA Source: Default: HLC3 What it is: The data source used for calculating the WaveTrend Moving Average. What it does: Determines the input data to smooth price action and filter noise. Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price. Length (WT MA Length): Default: 3 What it is: The period used to calculate the Moving Average. What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes. Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements. WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12 What it is: Lengths used to calculate the WaveTrend channel and its average. What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period. Example: Higher values reduce noise and help in identifying more reliable trends. Channel: Style, Width, and Color: What it is: Customization options for the WaveTrend channel's appearance. What it does: Adjusts how the channel is displayed, including line style, width, and color. Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart. WT Buy & Sell Signals: What it is: Settings to enable and customize buy and sell signals based on WaveTrend. What it does: Allows for the display of buy/sell signals and customization of their shapes and colors. When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement. When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend. Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively. WAVETREND OVERBOUGTH AND OVERSOLD LEVELS Display of WaveTrend with Overbought & Oversold Levels: Display of WaveTrend Overbought & Oversold Levels Settings: WaveTrend Overbought & Oversold Levels Explanation WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60 What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals. What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity. Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone. Show OB/OS Levels: Default: True What it is: Toggle options to show or hide the overbought and oversold levels on your chart. What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds. Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions. Line Style, Width, and Color for OB/OS Levels: What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color. What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions. Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification. Example of Use: Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order. WAVETREND DIVERGENCES Display of WaveTrend Divergence: Display of WaveTrend Divergence Setting: WaveTrend Divergence Indicator Explanation The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts. WaveTrend Divergence Input Settings: Potential Reversal Range: Default: 28 What it is: The number of bars to look back when detecting potential tops and bottoms. What it does: Sets the range for identifying possible reversal points based on historical data. Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability. Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35 What it is: The minimum overbought and oversold levels required for detecting potential reversals. What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator. Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals. Lookback Bar Left & Right: Default: Left = 10, Right = 1 What it is: The number of bars to the left and right used to confirm a top or bottom. What it does: Helps determine the position of peaks and troughs in the price action. Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past. Lookback Range Min & Max: Default: Min = 5, Max = 60 What it is: The minimum and maximum range for the lookback period when identifying divergences. What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back. Example: A wider range increases the chances of detecting divergences across different market conditions. R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53 What it is: The threshold levels for detecting regular divergences. What it does: Adjusts the sensitivity of the regular divergence detection. Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals. H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20 What it is: The threshold levels for detecting hidden divergences. What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious. Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts. Divergence Label Options: What it is: Options to display and customize labels for regular and hidden divergences. What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors. Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart. Text Size and Color: What it is: Customization options for the size and color of divergence labels. What it does: Adjusts the readability and visibility of divergence labels on the chart. Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly. FAST & SLOW MONEY FLOW INDEX Display of Fast & Slow Money Flow: Display of Fast & Slow Money Flow Setting: Fast Money Flow Indicator Explanation The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions. Fast Money Flow Input Settings: Fast Money Flow: Length: Default: 9 What it is: The period used for calculating the Fast Money Flow. What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal. Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period. Fast MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator. Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Fast Money Flow plot on the chart. What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators. Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity. Fast MFI Style, Width, and Color: What it is: Customization options for how the Fast Money Flow is displayed on the chart. What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow. Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure. Slow Money Flow Indicator Explanation The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends. Slow Money Flow Input Settings: Slow Money Flow: Length: Default: 12 What it is: The period used for calculating the Slow Money Flow. What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend. Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility. Slow MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Slow Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance. Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Slow Money Flow plot on the chart. What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators. Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart. Slow MFI Style, Width, and Color: What it is: Customization options for the visual display of the Slow Money Flow on the chart. What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow. Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market. RSI Display of RSI: Display of RSI Setting: RSI Indicator Explanation The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling. RSI Input Settings: RSI Source: Default: Close What it is: The data source used for calculating the RSI. What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions. Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period. MA Type (Moving Average Type): Default: SMA What it is: The type of moving average applied to the RSI for smoothing purposes. What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements. Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA). RSI Length: Default: 14 What it is: The period over which the RSI is calculated. What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals. Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability. RSI Plot Style, Width, and Color: What it is: Options to customize the appearance of the RSI line on the chart. What it does: Allows you to adjust the visual representation of the RSI, including the line width and color. Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis. Display of RSI with RSI Moving Average: RSI Moving Average Explanation The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals. RSI Moving Average Input Settings: MA Length: Default: 14 What it is: The period over which the Moving Average is calculated on the RSI. What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication. Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions. MA Plot Style, Width, and Color: What it is: Customization options for how the RSI Moving Average is displayed on the chart. What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line. Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator. STOCHASTIC RSI Display of Stochastic RSI: Display of Stochastic RSI Setting: Stochastic RSI Indicator Explanation The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts. Stochastic RSI Input Settings: Stochastic RSI Length: Default: 14 What it is: The period over which the Stochastic RSI is calculated. What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise. Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions. Display of Stochastic RSI %K Line: Stochastic RSI %K Line Explanation The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points. Stochastic RSI %K Input Settings: %K Length: Default: 3 What it is: The period used for smoothing the %K line of the Stochastic RSI. What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals. Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts. %K Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %K line. What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences. Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change. %K Fill Color (Above): What it is: The fill color that appears above the %K line on the chart. What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum. Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent. Display of Stochastic RSI %D Line: Stochastic RSI %D Line Explanation The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line. Stochastic RSI %D Input Settings: %D Length: Default: 3 What it is: The period used for smoothing the %D line of the Stochastic RSI. What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals. Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line. %D Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %D line. What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences. Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot. %D Fill Color (Below): What it is: The fill color that appears below the %D line on the chart. What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum. Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify. RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS Display of RSI & Stochastic with Overbought & Oversold Levels: Display of RSI & Stochastic Overbought & Oversold Settings: RSI & Stochastic Overbought & Oversold Levels Explanation The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal. RSI & Stochastic Overbought & Oversold Input Settings: RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130 What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity. Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside. RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120 What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions. Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy. RSI & Stochastic Overbought (OB) Band Customization: OB Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first overbought band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart. Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed. OB Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second overbought band on the chart. What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band. Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level. RSI & Stochastic Oversold (OS) Band Customization: OS Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first oversold band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent. Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities. OS Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second oversold band on the chart. What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions. Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities. RSI DIVERGENCES Display of RSI Divergence Labels: Display of RSI Divergence Settings: RSI Divergence Lookback Explanation The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. ) RSI Divergence Lookback Input Settings: Lookback Left: Default: 10 What it is: The number of bars to look back from the current bar to detect a potential divergence. What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences. Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns. Lookback Right: Default: 1 What it is: The number of bars to look forward from the current bar to complete the divergence pattern. What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation. Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable. Lookback Range Min: Default: 5 What it is: The minimum range of bars required to detect a valid divergence. What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences. Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns. Lookback Range Max: Default: 60 What it is: The maximum range of bars within which a divergence can be detected. What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns. Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals. RSI Divergence Explanation RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences. RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. STOCHASTIC DIVERGENCES Display of Stochastic RSI Divergence Labels: Display of Stochastic RSI Divergence Settings: Stochastic RSI Divergence Explanation Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI. Stochastic RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. Alert System: Custom Alerts for Divergences and Reversals: What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI. What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions. Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected. How to Use Alerts: Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals. By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy. For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences. How Components Work Together Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making. Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals. Ideal For Traders who require a reliable, multifaceted tool for detecting market trends and reversals. Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets. This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools. Acknowledgements Special thanks to these amazing creators for inspiration and their creations: I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible! vumanchu: VuManChu Cipher B Divergences. MisterMoTa: RSI + Divergences + Alerts . DevLucem: Plain Stochastic Divergence. Note This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
Penunjuk Pine Script®
oleh WeloTrades
4
ATR Bands (Keltner Channel), Wick and SRSI Signals [MW]Introduction This indicator uses a novel combination of ATR Bands, candle wicks crossing the ATR upper and lower bands, and baseline, and combines them with the Stochastic SRSI oscillator to provide early BUY and SELL signals in uptrends, downtrends, and in ranging price conditions. How it’s unique People generally understand Bollinger Bands and Keltner Channels. Buy at the bottom band, sell at the top band. However, because the bands themselves are not static, impulsive moves can render them useless. People also generally understand wicks. Candles with large wicks can represent a change in pattern, or volatile price movement. Combining those two to determine if price is reaching a pivot point is relatively novel. When Stochastic RSI (SRSI) filtering is also added, it becomes a genuinely unique combination that can be used to determine trade entries and exits. What’s the benefit The benefit of the indicator is that it can help potentially identify pivots WHEN THEY HAPPEN, and with potentially minimal retracement, depending on the trader’s time window. Many indicators wait for a trend to be established, or wait for a breakout to occur, or have to wait for some form of confirmation. In the interpretation used by this indicator, bands, wicks, and SRSI cycles provide both the signal and confirmation. It takes into account 3 elements: Price approaching the upper or lower band or the baseline - MEANING: Price is becoming extended based on calculations that use the candle trading range. A candle wick of a defined proportion (e.g. wick is 1/2 the size of a full candle OR candle body) crosses a band or baseline, but the body does not cross the band or baseline - MEANING: Buyers and sellers are both very active. The Stochastic RSI reading is above 80 for SELL signals and below 20 for BUY signals - MEANING: Additional confirmation that price is becoming extended based on the current cyclic price pattern. How to Use SIGNALS Buy Signals - Green(ish): B Signal - Potential pivot up from the lower band when using the preferred multiplier B1 Signal - Potential pivot up from the lower band when using phi * multiplier B2 Signal - Potential pivot up from the lower band when using 1/2 * multiplier B3 Signal - Potential pivot up from baseline Sell Signals - Red(ish): S Signal - Potential pivot down from the upper band when using the preferred multiplier S1 Signal - Potential pivot down from the upper band when using S2 Signal - Potential pivot down from the upper band when using 1/2 * multiplier S3 Signal - Potential pivot down from the baseline DISCUSSION During an uptrend or downtrend, signals from the baseline can help traders identify areas where they may enter the trending move with the least amount of drawdown. In both cases, entry points can occur with baseline signals in the direction of the trend. For example, in an uptrend (when the price is forming higher highs and higher lows, or when the baseline is rising), price tends to oscillate between the upper band and baseline. In this case, the baseline BUY signal (B3) can show an entry point. In a downtrend (when the price is forming lower highs and lower lows, or when the baseline is falling), price tends to oscillate between the baseline and the lower band. In this case, the baseline SELL signal (S3) can show an entry point. During consolidation, when price is ranging, price tends to oscillate between the upper and lower bands, while crossing through the baseline unperturbed. Here, entry points can occur at the upper and lower bands. When all conditions are met at the lower band during consolidation, a BUY signal (B), can occur. This signal may also occur prior to a break out of consolidation to the upside. When all conditions are met at the upper band during consolidation, a SELL signal (S), can occur. This signal may also occur prior to a break out of consolidation to the downside. Additional B1, B2, and S1, and S2 signals can be displayed that use the bands based on a multiplier that is half that of the primary one, and phi (0.618) times the primary multiplier as a way to quickly check for signals occurring along different, but related, bands. Calculations ATR Bands, or Keltner Channels, are a technical analysis tool that are used to measure market volatility and identify overbought or oversold conditions in the trading of financial instruments, such as stocks, bonds, commodities, and currencies. ATR Bands consist of three lines plotted on a price chart: Middle Band, Basis, or Baseline: This is typically a simple moving average (SMA) of the closing prices over a certain period. It represents the intermediate-term trend of the asset's price. Upper Band: This is calculated by adding a certain number of ATRs to the middle band (SMA). The upper band adjusts itself with the increase in volatility. Lower Band: This is calculated by subtracting the same number of ATRs from the middle band (SMA). Like the upper band, the lower band adjusts to changes in volatility. The candle wick signals occur if the wick is at the specified ratio compared to either the entire candle or the candle body. The upper band, lower band, and baseline signals happen if the wick is the specified ratio of the total candle size. For the major signals for upper and lower bands, these occur when the wick extends outside of the bands while closing a candle inside of the bands. For the baseline signals, they occur if a wick crosses a baseline but closes on the other side. Settings CHANNEL SETTINGS Baseline EMA Period (Default: 21): Period length of the moving average basis line. ATR Period (Default: 21): The number of periods over which the Average True Range (ATR) is calculated. Basis MA Type (Default: SMA): The moving average type for the basis line. Multiplier (Default: 2.5: The deviation multiplier used to calculate the band distance from the basis line. ADDITIONAL CHANNELS Half of Multiplier Offset (Default: True): Toggles the display of the ATR bands that are set a distance of half of the ATR multiplier. Quarter of Multiplier Offset (Default: false): Toggles the display of the ATR bands that are set a distance of one quarter of the ATR multiplier. Phi (Φ) Offset (Default: false): Toggles the display of the ATR bands that are set a distance of phi (Φ) times the ATR multiplier. WICK SETTINGS FOR CANDLE FILTERS Wick Ratio for Bands (Default: 0.4): The ratio of wick size to total candle size for use at upper and lower bands. Wick Ratio for Baseline (Default: 0.4): The ratio of wick size to total candle size for use at baseline. Use Candle Body (rather than full candle size) (Default: false): Determines whether wick calculations use the candle body or the entire candle size. VISUAL PREFERENCES - SIGNALS Show Signals (Default: true): Allows signal labels to be shown. Show Signals from 1/2 Band Offset (Default: false): Toggle signals originating from 1/2 offset upper and lower bands. Show Signals from Phi (Φ) Band Offset (Default: false): Toggle signals originating from phi (Φ) offset upper and lower bands. Show Baseline Signals (Default: false): Toggle Baseline signals. VISUAL PREFERENCES - BANDS Show ATR (Keltner) Bands (Default: true): Use a background color inside the Bollinger Bands. Fill Bands (Default: true): Use a background color inside the Bollinger Bands. STOCHASTIC SETTINGS Use Stochastic RSI Filtering (Default: False): This will only trigger some SELL signals when the stochastic RSI is above 80, and BUY signals when below 20. K (Default: 3): The smoothing level for the Stochastic RSI. RSI Length (Default: 14): The period length for the RSI calculation. Stochastic Length (Default: 8): The period length over which the stochastic calculation is performed. Other Usage Notes and Limitations To understand future price movement, this indicator assumes that 3 things must be known: Evidence of a change of market structure. This can be demonstrated by increased volatility, consolidation, volume spikes (which can be tracked with the MW Volume Impulse Indicator) or, in the case of this indicator, candle wicks. The potential cause of the change. It could be a VWAP line (which can be tracked with the Multi VWAP , and Multi VWAP from Gaps indicators), an event, an important support or resistance level, a key moving average, or many other things. This indicator assumes the ATR bands can be a cause. The current position in the price cycle. Oscillators like the RSI, and MACD, are typical measures of price oscillation (other oscillators like the Price and Volume Stochastic Divergence indicator can also be useful). This indicator uses the Stochastic RSI oscillator to determine overbought and oversold conditions. When evidence of the change appears, and the potential cause of the change is identified, and the price oscillation is at a favorable position for the desired trading direction, this indicator will generate a signal. ATR Bands (or Keltner Channels) are used to determine when price might “revert to the mean”. Crossing, or being near the upper or lower band, can indicate an overbought or oversold condition, which could lead to a price reversal. By tracking the behavior of candle wicks during these events, we can see how active the battle is between buyers and sellers. If the top of a wick is large, it may indicate that sellers are aggressively attempting to bring the price down. Conversely, if the bottom wick is large, it can indicate that buyers are actively trying to counter the price action caused by selling pressure. When this wicking action occurs at times when price is not near the upper band, lower band, or baseline, it could indicate the presence of an important level. That could mean a nearby VWAP line, a supply or demand zone, a round price number, or a number of other factors. In any case, this wick may be the first indication of a price reversal. Shorter baseline periods may be better for short period trading like scalping or day trading, while longer period baselines can show signals that are better suited to swing trading, or longer term investing. It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks. The TradingView platform allows a maximum of 500 labels per chart. This means that if your settings allow for a lot of signals, labels for earlier ones may not appear if the total number of labels exceeds 500 for the chart.
Penunjuk Pine Script®
oleh mwrightinc
8
Bollinger Band Wick and SRSI Signals [MW]Introduction This indicator uses a novel combination of Bollinger Bands, candle wicks crossing the upper and lower Bollinger Bands and baseline, and combines them with the Stochastic SRSI oscillator to provide early BUY and SELL signals in uptrends, downtrends, and in ranging price conditions. How it’s unique People generally understand Bollinger Bands and Keltner Channels. Buy at the bottom band, sell at the top band. However, because the bands themselves are not static, impulsive moves can render them useless. People also generally understand wicks. Candles with large wicks can represent a change in pattern, or volatile price movement. Combining those two to determine if price is reaching a pivot point is relatively novel. When Stochastic RSI (SRSI) filtering is also added, it becomes a genuinely unique combination that can be used to determine trade entries and exits. What’s the benefit The benefit of the indicator is that it can help potentially identify pivots WHEN THEY HAPPEN, and with potentially minimal retracement, depending on the trader’s time window. Many indicators wait for a trend to be established, or wait for a breakout to occur, or have to wait for some form of confirmation. In the interpretation used by this indicator, bands, wicks, and SRSI cycles provide both the signal and confirmation. It takes into account 3 elements: Price approaching the upper or lower band or the baseline - MEANING: Price is becoming extended based on calculations that use the candle trading range. A candle wick of a defined proportion (e.g. wick is 1/2 the size of a full candle OR candle body) crosses a band or baseline, but the body does not cross the band or baseline - MEANING: Buyers and sellers are both very active. The Stochastic RSI reading is above 80 for SELL signals and below 20 for BUY signals - MEANING: Additional confirmation that price is becoming extended based on the current cyclic price pattern. How to Use SIGNALS Buy Signals - Green(ish): B Signal - Potential pivot up from the lower band when using the preferred multiplier B1 Signal - Potential pivot up from baseline Sell Signals - Red(ish): S Signal - Potential pivot down from the upper band when using the preferred multiplier S1 Signal - Potential pivot down from the baseline DISCUSSION During an uptrend or downtrend, signals from the baseline can help traders identify areas where they may enter the trending move with the least amount of drawdown. In both cases, entry points can occur with baseline signals in the direction of the trend. For example, in an uptrend (when the price is forming higher highs and higher lows, or when the baseline is rising), price tends to oscillate between the upper band and baseline. In this case, the baseline BUY signal (B3) can show an entry point. In a downtrend (when the price is forming lower highs and lower lows, or when the baseline is falling), price tends to oscillate between the baseline and the lower band. In this case, the baseline SELL signal (S3) can show an entry point. During consolidation, when price is ranging, price tends to oscillate between the upper and lower bands, while crossing through the baseline unperturbed. Here, entry points can occur at the upper and lower bands. When all conditions are met at the lower band during consolidation, a BUY signal (B), can occur. This signal may also occur prior to a break out of consolidation to the upside. When all conditions are met at the upper band during consolidation, a SELL signal (S), can occur. This signal may also occur prior to a break out of consolidation to the downside. Additional, B1 and S1 signals can be displayed that use the baseline as the pivot level. Settings SIGNALS Show Bollinger Band Signals (Default: True): Allows signal labels to be shown. Hide Baseline Signals (Default: False): Baseline signals are on by default. This will turn them off. Show Wick Signals (Defau lt: True): Displays signals when wicking occurs. BOLLINGER BAND SETTINGS Period length for Bollinger Band Basis (Default: 21): Length of the Bollinger Band (BB) moving average basis line. Basis MA Type (Default: SMA): The moving average type for the BB Basis line. Source (Default: “close”): The source of time series data. Standard Deviation Multiplier (Default: 2.5: The deviation multiplier used to calculate the band distance from the basis line. WICK SETTINGS FOR BOLLINGER BANDS Wick Ratio for Bands (Default: 0.3): The ratio of wick size to total candle size for use at upper and lower bands. Wick Ratio for Baseline (Default: 0.3): The ratio of wick size to total candle size for use at baseline. WICK SETTINGS FOR CANDLE SIGNALS Upper Wick Threshold (Default: 50): The percent of upper wick compared to the full candle size or candle body size. Lower Wick Threshold (Default: 50): The percent of lower wick compared to the full candle size or candle body size. Use Candle Body (Default: false): Toggles the use of the full candle size versus the candle body size when calculating the wick signal. VISUAL PREFERENCES Fill Bands (Default: true): Use a background color inside the Bollinger Bands. Show Signals (Default: true): Toggle the Bollinger Band upper band, lower band, and baseline signals. Show Bollinger Bands (Default: true): Show the Bollinger Bands. STOCHASTIC SETTINGS Use Stochastic RSI Filtering (Default: False): This will only trigger some SELL signals when the stochastic RSI is above 80, and BUY signals when below 20. K (Default: 3): The smoothing level for the Stochastic RSI. RSI Length (Default: 14): The period length for the RSI calculation. Stochastic Length (Default: 8): The period length over which the stochastic calculation is performed. Calculations Bollinger Bands are a technical analysis tool that are used to measure market volatility and identify overbought or oversold conditions in the trading of financial instruments, such as stocks, bonds, commodities, and currencies. Bollinger Bands consist of three lines plotted on a price chart: Middle Band, Basis, or Baseline: This is typically a simple moving average (SMA) of the closing prices over a certain period. It represents the intermediate-term trend of the asset's price. Upper Band: This is calculated by adding a certain number of standard deviations to the middle band (SMA). The upper band adjusts itself with the increase in volatility. Lower Band: This is calculated by subtracting the same number of standard deviations from the middle band (SMA). Like the upper band, the lower band adjusts to changes in volatility. The candle wick signals occur if the wick is at the specified ratio compared to either the entire candle or the candle body. The upper band, lower band, and baseline signals happen if the wick is the specified ratio of the total candle size. For the major signals for upper and lower bands, these occur when the wick extends outside of the bands while closing a candle inside of the bands. For the baseline signals, they occur if a wick crosses a baseline but closes on the other side. Other Usage Notes and Limitations To understand future price movement, this indicator assumes that 3 things must be known: Evidence of a change of market structure. This can be demonstrated by increased volatility, consolidation, volume spikes (which can be tracked with the MW Volume Impulse Indicator) or, in the case of this indicator, candle wicks. The potential cause of the change. It could be a VWAP line (which can be tracked with the Multi VWAP , and Multi VWAP from Gaps indicators), an event, an important support or resistance level, a key moving average, or many other things. This indicator assumes the ATR bands can be a cause. The current position in the price cycle. Oscillators like the RSI, and MACD, are typical measures of price oscillation (other oscillators like the Price and Volume Stochastic Divergence indicator can also be useful). This indicator uses the Stochastic RSI oscillator to determine overbought and oversold conditions. When evidence of the change appears, and the potential cause of the change is identified, and the price oscillation is at a favorable position for the desired trading direction, this indicator will generate a signal. ATR Bands (or Keltner Channels) are used to determine when price might “revert to the mean”. Crossing, or being near the upper or lower band, can indicate an overbought or oversold condition, which could lead to a price reversal. By tracking the behavior of candle wicks during these events, we can see how active the battle is between buyers and sellers. If the top of a wick is large, it may indicate that sellers are aggressively attempting to bring the price down. Conversely, if the bottom wick is large, it can indicate that buyers are actively trying to counter the price action caused by selling pressure. When this wicking action occurs at times when price is not near the upper band, lower band, or baseline, it could indicate the presence of an important level. That could mean a nearby VWAP line, a supply or demand zone, a round price number, or a number of other factors. In any case, this wick may be the first indication of a price reversal. Shorter baseline periods may be better for short period trading like scalping or day trading, while longer period baselines can show signals that are better suited to swing trading, or longer term investing. It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks. The TradingView platform allows a maximum of 500 labels per chart. This means that if your settings allow for a lot of signals, labels for earlier ones may not appear if the total number of labels exceeds 500 for the chart.
Penunjuk Pine Script®
oleh mwrightinc
Weight Gain 4000 - (Adjustable Volume Weighted MA) - [mutantdog]Short Version: This is a fairly self-contained system based upon a moving average crossover with several unique features. The most significant of these is the adjustable volume weighting system, allowing for transformations between standard and weighted versions of each included MA. With this feature it is possible to apply partial weighting which can help to improve responsiveness without dramatically altering shape. Included types are SMA, EMA, WMA, RMA, hSMA, DEMA and TEMA. Potentially more will be added in future (check updates below). In addition there are a selection of alternative 'weighted' inputs, a pair of Bollinger-style deviation bands, a separate price tracker and a bunch of alert presets. This can be used out-of-the-box or tweaked in multiple ways for unusual results. Default settings are a basic 8/21 EMA cross with partial volume weighting. Dev bands apply to MA2 and are based upon the type and the volume weighting. For standard Bollinger bands use SMA with length 20 and try adding a small amount of volume weighting. A more detailed breakdown of the functionality follows. Long Version: ADJUSTABLE VOLUME WEIGHTING In principle any moving average should have a volume weighted analogue, the standard VWMA is just an SMA with volume weighting for example. Actually, we can consider the SMA to be a special case where volume is a constant 1 per bar (the value is somewhat arbitrary, the important part is that it's constant). Similar principles apply to the 'elastic' EVWMA which is the volume weighted analogue of an RMA. In any case though, where we have standard and weighted variants it is possible to transform one into the other by gradually increasing or decreasing the weighting, which forms the basis of this system. This is not just a simple multiplier however, that would not work due to the relative proportions being the same when set at any non zero value. In order to create a meaningful transformation we need to use an exponent instead, eg: volume^x , where x is a variable determined in this case by the 'volume' parameter. When x=1, the full volume weighting applies and when x=0, the volume will be reduced to a constant 1. Values in between will result in the respective partial weighting, for example 0.5 will give the square root of the volume. The obvious question here though is why would you want to do this? To answer that really it is best to actually try it. The advantages that volume weighting can bring to a moving average can sometimes come at the cost of unwanted or erratic behaviour. While it can tend towards much closer price tracking which may be desirable, sometimes it needs moderating especially in markets with lower liquidity. Here the adjustability can be useful, in many cases i have found that adding a small amount of volume weighting to a chosen MA can help to improve its responsiveness without overpowering it. Another possible use case would be to have two instances of the same MA with the same length but different weightings, the extent to which these diverge from each other can be a useful indicator of trend strength. Other uses will become apparent with experimentation and can vary from one market to another. THE INCLUDED MODES At the time of publication, there are 7 included moving average types with plans to add more in future. For now here is a brief explainer of what's on offer (continuing to use x as shorthand for the volume parameter), starting with the two most common types. SMA: As mentioned above this is essentially a standard VWMA, calculated here as sma(source*volume^x,length)/sma(volume^x,length). In this case when x=0 then volume=1 and it reduces to a standard SMA. RMA: Again mentioned above, this is an EVWMA (where E stands for elastic) with constant weighting. Without going into detail, this method takes the 1/length factor of an RMA and replaces it with volume^x/sum(volume^x,length). In this case again we can see that when x=0 then volume=1 and the original 1/length factor is restored. EMA: This follows the same principle as the RMA where the standard 2/(length+1) factor is replaced with (2*volume^x)/(sum(volume^x,length)+volume^x). As with an RMA, when x=0 then volume=1 and this reduces back to the standard 2/(length+1). DEMA: Just a standard Double EMA using the above. TEMA: Likewise, a standard Triple EMA using the above. hSMA: This is the same as the SMA except it uses harmonic mean calculations instead of arithmetic. In most cases the differences are negligible however they can become more pronounced when volume weighting is introduced. Furthermore, an argument can be made that harmonic mean calculations are better suited to downtrends or bear markets, in principle at least. WMA: Probably the most contentious one included. Follows the same basic calculations as for the SMA except uses a WMA instead. Honestly, it makes little sense to combine both linear and volume weighting in this manner, included only for completeness and because it can easily be done. It may be the case that a superior composite could be created with some more complex calculations, in which case i may add that later. For now though this will do. An additional 'volume filter' option is included, which applies a basic filter to the volume prior to calculation. For types based around the SMA/VWMA system, the volume filter is a WMA-4, for types based around the RMA/EVWMA system the filter is a RMA-2. As and when i add more they will be listed in the updates at the bottom. WEIGHTED INPUTS The ohlc method of source calculations is really a leftover from a time when data was far more limited. Nevertheless it is still the method used in charting and for the most part is sufficient. Often the only important value is 'close' although sometimes 'high' and 'low' can be relevant also. Since we are volume weighting however, it can be useful to incorporate as much information as possible. To that end either 'hlc3' or 'hlcc4' tend to be the best of the defaults (in the case of 24/7 charting like crypto or intraday trading, 'ohlc4' should be avoided as it is effectively the same as a lagging version of 'hlcc4'). There are many other (infinitely many, in fact) possible combinations that can be created, i have included a few here. The premise is fairly straightforward, by subtracting one value from another, the remaining difference can act as a kind of weight. In a simple case consider 'hl2' as simply the midrange ((high+low)/2), instead of this using 'high+low-open' would give more weight to the value furthest from the open, providing a good estimate of the median. An even better estimate can be achieved by combining that with 'high+low-close' to give the included result 'hl-oc2'. Similarly, 'hlc3' can be considered the basic mean of the three significant values, an included weighted version 'hlc2-o2' combines a sum with subtraction of open to give an estimated mean that may be more accurate. Finally we can apply a similar principle to the close, by subtracting the other values, this one potentially gets more complex so the included 'cc-ohlc4' is really the simplest. The result here is an overbias of the close in relation to the open and the midrange, while in most cases not as useful it can provide an estimate for the next bar assuming that the trend continues. Of the three i've included, hlc2-o2 is in my opinion the most useful especially in this context, although it is perhaps best considered to be experimental in nature. For that reason, i've kept 'hlcc4' as the default for both MAs. Additionally included is an 'aux input' which is the standard TV source menu and, where possible, can be set as outputs of other indicators. THE SYSTEM This one is fairly obvious and straightforward. It's just a moving average crossover with additional deviation (bollinger) bands. Not a lot to explain here as it should be apparent how it works. Of the two, MA1 is considered to be the fast and MA2 is considered to be the slow. Both can be set with independent inputs, types and weighting. When MA1 is above, the colour of both is green and when it's below the colour of both is red. An additional gradient based fill is there and can be adjusted along with everything else in the visuals section at the bottom. Default alerts are available for crossover/crossunder conditions along with optional marker plots. MA2 has the option for deviation bands, these are calculated based upon the MA type used and volume weighted according to the main parameter. In the case of a unweighted SMA being used they will be standard Bollinger bands. An additional 'source direct' price tracker is included which can be used as the basis for an alert system for price crossings of bands or MAs, while taking advantage of the available weighted inputs. This is displayed as a stepped line on the chart so is also a good way to visualise the differences between input types. That just about covers it then. The likelihood is that you've used some sort of moving average cross system before and are probably still using one or more. If so, then perhaps the additional functionality here will be of benefit. Thanks for looking, I welcome any feedack
Penunjuk Pine Script®
oleh mutantdog
1
Waindrops [Makit0]█  OVERALL Plot waindrops (custom volume profiles) on user defined periods, for each period you get high and low, it slices each period in half to get independent vwap, volume profile and the volume traded per price at each half. It works on intraday charts only, up to 720m (12H). It can plot balanced or unbalanced waindrops, and volume profiles up to 24H sessions. As example you can setup unbalanced periods to get independent volume profiles for the overnight and cash sessions on the futures market, or 24H periods to get the full session volume profile of EURUSD The purpose of this indicator is twofold: 1 — from a Chartist point of view, to have an indicator which displays the volume in a more readable way 2 — from a Pine Coder point of view, to have an example of use for two very powerful tools on Pine Script:    • the recently updated drawing limit to 500 (from 50)    • the recently ability to use drawings arrays (lines and labels) If you are new to Pine Script and you are learning how to code, I hope you read all the code and comments on this indicator, all is designed for you, the variables and functions names, the sometimes too big explanations, the overall structure of the code, all is intended as an example on how to code in Pine Script a specific indicator from a very good specification in form of white paper If you wanna learn Pine Script form scratch just start HERE In case you have any kind of problem with Pine Script please use some of the awesome resources at our disposal: USRMAN , REFMAN , AWESOMENESS , MAGIC █  FEATURES Waindrops are a different way of seeing the volume and price plotted in a chart, its a volume profile indicator where you can see the volume of each price level plotted as a vertical histogram for each half of a custom period. By default the period is 60 so it plots an independent volume profile each 30m You can think of each waindrop as an user defined candlestick or bar with four key values:  • high of the period  • low of the period  • left vwap (volume weighted average price of the first half period)  • right vwap (volume weighted average price of the second half period) The waindrop can have 3 different colors (configurable by the user):  • GREEN: when the right vwap is higher than the left vwap (bullish sentiment )  • RED: when the right vwap is lower than the left vwap (bearish sentiment )  • BLUE: when the right vwap is equal than the left vwap ( neutral sentiment ) KEY FEATURES  • Help menu  • Custom periods  • Central bars  • Left/Right VWAPs  • Custom central bars and vwaps: color and pixels  • Highly configurable volume histogram: execution window, ticks, pixels, color, update frequency and fine tuning the neutral meaning  • Volume labels with custom size and color  • Tracking price dot to be able to see the current price when you hide your default candlesticks or bars █  SETTINGS Click here or set any impar period to see the HELP INFO : show the HELP INFO, if it is activated the indicator will not plot PERIOD SIZE (max 2880 min) : waindrop size in minutes, default 60, max 2880 to allow the first half of a 48H period as a full session volume profile BARS : show the central and vwap bars, default true    Central bars : show the central bars, default true    VWAP bars : show the left and right vwap bars, default true    Bars pixels : width of the bars in pixels, default 2    Bars color mode : bars color behavior    • BARS : gets the color from the 'Bars color' option on the settings panel    • HISTOGRAM : gets the color from the Bearish/Bullish/Neutral Histogram color options from the settings panel    Bars color : color for the central and vwap bars, default white HISTOGRAM show the volume histogram, default true    Execution window (x24H) : last 24H periods where the volume funcionality will be plotted, default 5    Ticks per bar (max 50) : width in ticks of each histogram bar, default 2    Updates per period : number of times the histogram will update    • ONE : update at the last bar of the period    • TWO : update at the last bar of each half period    • FOUR : slice the period in 4 quarters and updates at the last bar of each of them    • EACH BAR : updates at the close of each bar    Pixels per bar : width in pixels of each histogram bar, default 4    Neutral Treshold (ticks) : delta in ticks between left and right vwaps to identify a waindrop as neutral, default 0    Bearish Histogram color : histogram color when right vwap is lower than left vwap, default red    Bullish Histogram color : histogram color when right vwap is higher than left vwap, default green    Neutral Histogram color : histogram color when the delta between right and left vwaps is equal or lower than the Neutral treshold, default blue VOLUME LABELS : show volume labels    Volume labels color : color for the volume labels, default white    Volume Labels size : text size for the volume labels, choose between AUTO, TINY, SMALL, NORMAL or LARGE, default TINY TRACK PRICE : show a yellow ball tracking the last price, default true █  LIMITS This indicator only works on intraday charts (minutes only) up to 12H (720m), the lower chart timeframe you can use is 1m This indicator needs price, time and volume to work, it will not work on an index (there is no volume), the execution will not be allowed The histogram (volume profile) can be plotted on 24H sessions as limit but you can plot several 24H sessions █  ERRORS AND PERFORMANCE Depending on the choosed settings, the script performance will be highly affected and it will experience errors Two of the more common errors it can throw are:  • Calculation takes too long to execute  • Loop takes too long The indicator performance is highly related to the underlying volatility (tick wise), the script takes each candlestick or bar and for each tick in it stores the price and volume, if the ticker in your chart has thousands and thousands of ticks per bar the indicator will throw an error for sure, it can not calculate in time such amount of ticks. What all of that means? Simply put, this will throw error on the BITCOIN pair BTCUSD (high volatility with tick size 0.01) because it has too many ticks per bar, but lucky you it will work just fine on the futures contract BTC1! (tick size 5) because it has a lot less ticks per bar There are some options you can fine tune to boost the script performance, the more demanding option in terms of resources consumption is Updates per period , by default is maxed out so lowering this setting will improve the performance in a high way. If you wanna know more about how to improve the script performance, read the HELP INFO accessible from the settings panel █  HOW-TO SETUP The basic parameters to adjust are Period size , Ticks per bar and Pixels per bar  • Period size is the main setting, defines the waindrop size, to get a better looking histogram set bigger period and smaller chart timeframe  • Ticks per bar is the tricky one, adjust it differently for each underlying (ticker) volatility wise, for some you will need a low value, for others a high one.    To get a more accurate histogram set it as lower as you can (min value is 1)  • Pixels per bar allows you to adjust the width of each histogram bar, with it you can adjust the blank space between them or allow overlaping You must play with these three parameters until you obtain the desired histogram: smoother, sharper, etc... These are some of the different kind of charts you can setup thru the settings:  • Balanced Waindrops (default): charts with waindrops where the two halfs are of same size.    This is the default chart, just select a period (30m, 60m, 120m, 240m, pick your poison), adjust the histogram ticks and pixels and watch  • Unbalanced Waindrops: chart with waindrops where the two halfs are of different sizes.    Do you trade futures and want to plot a waindrop with the first half for the overnight session and the second half for the cash session? you got it;    just adjust the period to 1860 for any CME ticker (like ES1! for example) adjust the histogram ticks and pixels and watch  • Full Session Volume Profile: chart with waindrops where only the first half plots.    Do you use Volume profile to analize the market? Lucky you, now you can trick this one to plot it, just try a period of 780 on SPY, 2760 on ES1!, or 2880 on EURUSD    remember to adjust the histogram ticks and pixels for each underlying  • Only Bars: charts with only central and vwap bars plotted, simply deactivate the histogram and volume labels  • Only Histogram: charts with only the histogram plotted (volume profile charts), simply deactivate the bars and volume labels  • Only Volume: charts with only the raw volume numbers plotted, simply deactivate the bars and histogram If you wanna know more about custom full session periods for different asset classes, read the HELP INFO accessible from the settings panel EXAMPLES Full Session Volume Profile on MES 5m chart: Full Session Unbalanced Waindrop on MNQ 2m chart (left side Overnight session, right side Cash Session): The following examples will have the exact same charts but on four different tickers representing a futures contract, a forex pair, an etf and a stock. We are doing this to be able to see the different parameters we need for plotting the same kind of chart on different assets The chart composition is as follows:  • Left side: Volume Labels chart (period 10)  • Upper Right side: Waindrops (period 60)  • Lower Right side: Full Session Volume Profile The first example will specify the main parameters, the rest of the charts will have only the differences MES :  • Left: Period size: 10, Bars: uncheck, Histogram: uncheck, Execution window: 1, Ticks per bar: 2, Updates per period: EACH BAR,    Pixels per bar: 4, Volume labels: check, Track price: check  • Upper Right: Period size: 60, Bars: check, Bars color mode: HISTOGRAM, Histogram: check, Execution window: 2, Ticks per bar: 2,    Updates per period: EACH BAR, Pixels per bar: 4, Volume labels: uncheck, Track price: check  • Lower Right: Period size: 2760, Bars: uncheck, Histogram: check, Execution window: 1, Ticks per bar: 1, Updates per period: EACH BAR,    Pixels per bar: 2, Volume labels: uncheck, Track price: check EURUSD :  • Upper Right: Ticks per bar: 10  • Lower Right: Period size: 2880, Ticks per bar: 1, Pixels per bar: 1 SPY :  • Left: Ticks per bar: 3  • Upper Right: Ticks per bar: 5, Pixels per bar: 3  • Lower Right: Period size: 780, Ticks per bar: 2, Pixels per bar: 2 AAPL :  • Left: Ticks per bar: 2  • Upper Right: Ticks per bar: 6, Pixels per bar: 3  • Lower Right: Period size: 780, Ticks per bar: 1, Pixels per bar: 2 █  THANKS TO PineCoders for all they do, all the tools and help they provide and their involvement in making a better community scarf for the idea of coding a waindrops like indicator, I did not know something like that existed at all All the Pine Coders, Pine Pros and Pine Wizards, people who share their work and knowledge for the sake of it and helping others, I'm very grateful indeed I'm learning at each step of the way from you all, thanks for this awesome community; Opensource and shared knowledge: this is the way! (said with canned voice from inside my helmet :D) █  NOTE This description was formatted following THIS guidelines ═════════════════════════════════════════════════════════════════════════ I sincerely hope you enjoy reading and using this work as much as I enjoyed developing it :D GOOD LUCK AND HAPPY TRADING!
Penunjuk Pine Script®
oleh makit0
108