ND Egitim - AI Oto FibonacciAutomatic Fibonacci & HH/LL Trend Analysis
This indicator automatically determines the optimal lookback bar count based on market conditions and the specific symbol, then identifies the most recent “Higher High” (HH) and “Lower Low” (LL) points on your chart. It draws a Fibonacci system between these two points, allowing you to instantly visualize potential retracement and extension levels that may act as key support and resistance zones. Additionally, the indicator provides a quick overview of the overall market trend and volatility.
What does it do?
• Fibonacci Levels: Classic Fibonacci levels such as 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, and 100% are drawn automatically on the chart. Additional extension and negative levels are also displayed as needed.
• Trend Direction: The general market trend (bullish, bearish, or sideways) is visualized based on the relative positioning of HH/LL points and the structure of moving averages.
• Alert Conditions: Built-in alerts notify you when the price breaks key Fibonacci levels.
Indicators and strategies
RMSE Bollinger Bands + Loop | Lyro RSRMSE Bollinger Bands + Loops
Overview
The RMSE Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with statistical measures. This indicator employs a multi-model approach, integrating Bollinger-style RMSE bands, momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions.
Indicator Modes
Bollinger-style RMSE Bands: this mode calculates dynamic volatility bands around the price using the following formula:
Upper Band = Dynamic Moving Average + (RMSE × Multiplier)
Lower Band = Dynamic Moving Average - (RMSE × Multiplier)
These bands adjust to market volatility, helping identify potential breakout or breakdown points.
For-Loop Momentum Scoring, momentum is assessed by analyzing recent price behavior through a looping mechanism. A rising momentum score indicates increasing bullish strength, while a declining score suggests growing bearish momentum.
Hybrid Combined Signal: this mode assigns a directional score to the other two modes:
+1 for bullish (green)
–1 for bearish (red)
An average of these scores is computed to generate a combined signal, offering a consolidated market trend indication.
Practical Application
Signal Interpretation: A buy signal is generated when both the RMSE Bands and For-Loop Momentum Scoring align bullishly. Conversely, a sell signal is indicated when both are bearish.
Trend Confirmation: The Hybrid Combined Signal provides a consolidated view, assisting traders in confirming the prevailing market trend.
Note: Always consider additional technical analysis tools and risk management strategies when making trading decisions.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Volatility RSI Breakout + Volume Filter [v6]This indicator is designed for my dca bot as entry signal. It combines four key conditions to generate high-probability buy/sell signals:
RSI Momentum Filter – Detects early strength or weakness before extreme overbought/oversold levels.
Bollinger Band Breakout – Confirms price expansion beyond recent volatility ranges.
Volume Spike Filter – Ensures breakout moves are supported by increased trader activity.
ATR Volatility Threshold – Trades are only allowed in sufficiently volatile environments.
The indicator plots:
Buy/Sell labels directly on the chart when all conditions are met.
Super MTF Clouds (4x3 Pairs)Overview:
This script is based on Ripster's MTF clouds, which transcends the standard moving average cloud indicator by offering a powerful and deeply customizable Multi-Timeframe (MTF) analysis. Instead of being limited to the moving averages of your current charts from the current timeframe, this tool allows you to project and visualize the trend and key support/resistance zones from up to 4 different timeframes simultaneously. User can input up to 6 different EMA values which will form 3 pairs of EMA clouds, for each of the timeframes.
The primary purpose is to provide traders with immediate confluence. By observing how price interacts with moving average clouds from higher timeframes (e.g., Hourly, Daily, Weekly), you can make more informed decisions on your active trading timeframe (e.g., 10 Minute). It's designed as a complete MTF Cloud toolkit, allowing you to display all necessary MTFs in a single script to build a comprehensive view of the market structure without having to flick to different timeframe to look for cloud positions.
Key features:
Four Independent Multi-Timeframe Slots: Each slot can be assigned any timeframe available on TradingView (e.g., D, W, M, 4H).
Three MA Pairs Per Timeframe: For each timeframe, configure up to three separate MA clouds (e.g., a 9/12 EMA pair, a 20/50 EMA pair, and a 100/200 SMA pair).
Complete Customisation: For every single moving average (24 in total), you can independently control:
MA Type: Choose between EMA or SMA.
Length: Any period you require.
Line Color: Full colour selection.
Line Thickness: Adjust the visual weight of each line.
Cloud Control: For every pair (12 in total), you can set the fill colour and transparency.
How To Use This Script:
This tool is best used for confirmation and context. Here are some practical strategies that one can adopt:
Trend Confluence: Before taking a trade based on a signal on your current timeframe, glance at the higher timeframe clouds. If you see a buy signal on the 15-minute chart and the price is currently trading above a thick, bullish Daily cloud, the probability of that trade succeeding is significantly higher. Conversely, shorting into strong HTF support is a low-probability trade.
Dynamic Support & Resistance: The edges of the higher timeframe clouds often act as powerful, dynamic levels of support and resistance. A pullback to the 4-Hour 50 EMA on your 15-minute chart can be a prime area to look for entries in the direction of the larger trend.
Gauging Market Regimes: Use the toggles in the settings to quickly switch between different views. You can have a "risk-on" view with short-term clouds and a "macro" view with weekly and monthly clouds. This helps you adapt your trading style to the current market conditions.
Key Settings:
1. Global Setting
Source For All MAs: This determines the price data point used for every single moving average calculation.
Default: hl2 (an average of the High and Low of each bar). This gives a smooth midpoint price.
Options: You can change this to Close (the most common method), Open, High, Low, or ohlc4 (an average of the open, high, low, and close), among others.
Recommendation: For most standard trend analysis, the default hl2 is the common choice.
2. The Timeframe Group Structure
The rest of the settings are organized into four identical, collapsible groups: "Timeframe 1 Settings" through "Timeframe 4 Settings". Each group acts as a self-contained control panel for one multi-timeframe view.
Within each timeframe group, you have two master controls:
Enable Timeframe: This is the main power switch for the entire group. Uncheck this box to instantly hide all three clouds and lines associated with this timeframe. This is perfect for quickly decluttering your chart or focusing on a different set of analyses.
Timeframe: This dropdown menu is the heart of the MTF feature. Here, you select the higher timeframe you want to analyse (e.g., 1D for Daily, 1W for Weekly, 4H for 4-Hour). All calculations for the three pairs within this group will be based on the timeframe you select here.
3. Pair-Specific Controls
Inside each timeframe group, there are three sections for "Pair 1", "Pair 2", and "Pair 3". These control each individual moving average cloud.
Enable Pair: Just like the master switch for the timeframe, this checkbox turns a single cloud and its two MA lines on or off.
For each pair, the settings are further broken down:
Moving Average Lines (A and B): These two rows control the two moving averages that form the cloud. 'A' is typically used for the shorter-period MA and 'B' for the longer-period one.
Type (A/B): A dropdown menu to select either EMA (Exponential Moving Average) or SMA (Simple Moving Average). EMAs react more quickly to recent price changes, while SMAs are smoother and react more slowly.
Length (A/B): The lookback period for the moving average (e.g., 21, 50, 200).
Color (A/B): Sets the specific colour of the MA line itself on your chart.
Cloud Fill Settings
Fill Color: This controls the colour of the shaded area (the "cloud") between the two moving average lines. For a consistent look, you can set this to the same colour as your shorter MA line.
Transparency: Controls how see-through the cloud is, on a scale of 0 to 100. 0 is a solid, opaque colour, while 100 is completely invisible. The default of 85 provides a light, "cloud-like" appearance that doesn't obscure the price action.
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If anything is not clear please let me know!
HMA Swing Levels [BigBeluga]An advanced swing structure and trend-following tool built on Hull Moving Average logic, designed to detect major reversals and track dynamic support/resistance zones.
This indicator analyzes price swings using pivot highs/lows and a smoothed HMA trend baseline. It highlights key reversal levels and keeps them active until breached, giving traders a clear visual framework for price structure and trend alignment. The pivots are calculated in real-time using non-lagging logic, making them highly responsive to market conditions.
🔵 CONCEPTS
Combines a fast-reacting Hull Moving Average (HMA) with pivot logic to capture precise directional changes.
Detects non-lagging reversal highs and lows when pivot points form and the HMA direction flips.
Projects these reversal levels forward as horizontal support/resistance lines until broken by price.
Active trend is shown with a step-style trail line that reflects HMA bias over time.
🔵 FEATURES
Swing Level Detection:
Identifies high/low reversals when trend direction changes and plots horizontal zones.
Non-lagging logic of swing points detection:
if h == high and high < h and change > 0
// Detected Swing High
if l == low and low > l and change < 0
// Detected Swing Low
Persistent Support & Resistance Lines:
Each detected swing high or low is extended forward until price invalidates the level. Dotted style is applied once breached.
Color-Coded Trend Trail:
Displays a stepped trend trail using HMA slope: lime = uptrend, blue = downtrend.
Automatic Labeling:
Each reversal level is labeled with its price for clear reference.
Age-Based Line Thickness:
Every level increases in thickness every 250 bars. The longer the level lasts, the stronger it is.
🔵 HOW TO USE
Use green (support) and blue (resistance) levels to frame key reaction zones.
Trade with the trend defined by the trail color: lime for bullish bias, blue for bearish.
Explore where buy or sell orders are stacked
Look for breaks of swing lines to anticipate trend shifts or breakout setups.
Adjust the "Trend Change" input to tune the sensitivity of swing detection.
Adjust the "SwingLevels" input to define how far back to search for valid pivots.
🔵 CONCLUSION
HMA Swing Levels offers a hybrid approach to structural and trend-based trading. With automated non-lagging swing detection, persistent support/resistance tracking, and intuitive HMA-based trend coloring, it provides a powerful visual system for discretionary and systematic traders alike.
Wavelet-Trend ML Integration [Alpha Extract]Alpha-Extract Volatility Quality Indicator
The Alpha-Extract Volatility Quality (AVQ) Indicator provides traders with deep insights into market volatility by measuring the directional strength of price movements. This sophisticated momentum-based tool helps identify overbought and oversold conditions, offering actionable buy and sell signals based on volatility trends and standard deviation bands.
🔶 CALCULATION
The indicator processes volatility quality data through a series of analytical steps:
Bar Range Calculation: Measures true range (TR) to capture price volatility.
Directional Weighting: Applies directional bias (positive for bullish candles, negative for bearish) to the true range.
VQI Computation: Uses an exponential moving average (EMA) of weighted volatility to derive the Volatility Quality Index (VQI).
Smoothing: Applies an additional EMA to smooth the VQI for clearer signals.
Normalization: Optionally normalizes VQI to a -100/+100 scale based on historical highs and lows.
Standard Deviation Bands: Calculates three upper and lower bands using standard deviation multipliers for volatility thresholds.
Signal Generation: Produces overbought/oversold signals when VQI reaches extreme levels (±200 in normalized mode).
Formula:
Bar Range = True Range (TR)
Weighted Volatility = Bar Range × (Close > Open ? 1 : Close < Open ? -1 : 0)
VQI Raw = EMA(Weighted Volatility, VQI Length)
VQI Smoothed = EMA(VQI Raw, Smoothing Length)
VQI Normalized = ((VQI Smoothed - Lowest VQI) / (Highest VQI - Lowest VQI) - 0.5) × 200
Upper Band N = VQI Smoothed + (StdDev(VQI Smoothed, VQI Length) × Multiplier N)
Lower Band N = VQI Smoothed - (StdDev(VQI Smoothed, VQI Length) × Multiplier N)
🔶 DETAILS
Visual Features:
VQI Plot: Displays VQI as a line or histogram (lime for positive, red for negative).
Standard Deviation Bands: Plots three upper and lower bands (teal for upper, grayscale for lower) to indicate volatility thresholds.
Reference Levels: Horizontal lines at 0 (neutral), +100, and -100 (in normalized mode) for context.
Zone Highlighting: Overbought (⋎ above bars) and oversold (⋏ below bars) signals for extreme VQI levels (±200 in normalized mode).
Candle Coloring: Optional candle overlay colored by VQI direction (lime for positive, red for negative).
Interpretation:
VQI ≥ 200 (Normalized): Overbought condition, strong sell signal.
VQI 100–200: High volatility, potential selling opportunity.
VQI 0–100: Neutral bullish momentum.
VQI 0 to -100: Neutral bearish momentum.
VQI -100 to -200: High volatility, strong bearish momentum.
VQI ≤ -200 (Normalized): Oversold condition, strong buy signal.
🔶 EXAMPLES
Overbought Signal Detection: When VQI exceeds 200 (normalized), the indicator flags potential market tops with a red ⋎ symbol.
Example: During strong uptrends, VQI reaching 200 has historically preceded corrections, allowing traders to secure profits.
Oversold Signal Detection: When VQI falls below -200 (normalized), a lime ⋏ symbol highlights potential buying opportunities.
Example: In bearish markets, VQI dropping below -200 has marked reversal points for profitable long entries.
Volatility Trend Tracking: The VQI plot and bands help traders visualize shifts in market momentum.
Example: A rising VQI crossing above zero with widening bands indicates strengthening bullish momentum, guiding traders to hold or enter long positions.
Dynamic Support/Resistance: Standard deviation bands act as dynamic volatility thresholds during price movements.
Example: Price reversals often occur near the third standard deviation bands, providing reliable entry/exit points during volatile periods.
🔶 SETTINGS
Customization Options:
VQI Length: Adjust the EMA period for VQI calculation (default: 14, range: 1–50).
Smoothing Length: Set the EMA period for smoothing (default: 5, range: 1–50).
Standard Deviation Multipliers: Customize multipliers for bands (defaults: 1.0, 2.0, 3.0).
Normalization: Toggle normalization to -100/+100 scale and adjust lookback period (default: 200, min: 50).
Display Style: Switch between line or histogram plot for VQI.
Candle Overlay: Enable/disable VQI-colored candles (lime for positive, red for negative).
The Alpha-Extract Volatility Quality Indicator empowers traders with a robust tool to navigate market volatility. By combining directional price range analysis with smoothed volatility metrics, it identifies overbought and oversold conditions, offering clear buy and sell signals. The customizable standard deviation bands and optional normalization provide precise context for market conditions, enabling traders to make informed decisions across various market cycles.
GCM Heikin Ashi with PivotsTitle: GCM Heikin Ashi with Pivots
Description:
Overview
This indicator provides a powerful combination of trend visualization, precise reversal signals, and volume confirmation in a clean, customizable sub-chart. It is designed to help traders identify trend momentum using Heikin Ashi candles, pinpoint confirmed swing highs and lows (pivots), and spot surges in buying pressure with our unique Volume Rate-of-Change (VROC) highlighter.
The key feature of this script is its non-repainting pivot signals. A pivot high or low is only confirmed and plotted after a specific number of subsequent bars have closed, ensuring the signals are reliable and do not change after they appear.
Key Features
Heikin Ashi Sub-Chart: Displays smoothed Heikin Ashi candles in a separate pane to clearly visualize trend strength and direction without cluttering the main price chart.
Non-Repainting Pivot Signals: Uses ta.pivothigh and ta.pivotlow to identify confirmed swing points. The signals will not repaint or move once they are printed on the chart.
Smart Volume Spike Analysis (VROC): A Heikin Ashi candle will be highlighted in a distinct bright green (#2dff00) when the volume increases significantly on a bullish price candle. This "volume-confirmed" candle can signal strong conviction behind a move.
Complete Label Customization: Take full control over the look and feel of your signals:
Label Mode: Choose between "High & Low" (H/L) or "Buy & Sell" (B/S) to match your trading terminology.
Custom Colors: Set unique colors for both the high and low pivot labels.
Label Style: Select from various shapes like boxes, circles, diamonds, or squares.
Label Size: Adjust the size of the labels from Tiny to Huge for perfect visibility.
Adjustable Pivot Sensitivity: Fine-tune the pivot detection algorithm by setting the number of bars required to the left (strength) and right (confirmation) of a pivot point.
How to Use & Interpret the Signals
Assess the Trend with Heikin Ashi:
A series of green HA candles with little to no lower wicks indicates strong bullish momentum.
A series of red HA candles with little to no upper wicks indicates strong bearish momentum.
Look for Volume Confirmation:
A bright green highlighted candle signals a surge in buying pressure (VROC spike). This adds significant weight to bullish moves and can act as a leading indicator for a new leg up.
Identify Entry/Exit Points with Pivot Labels:
An "L" or "B" label marks a confirmed swing low. This is a potential buying opportunity, especially if it is followed by green Heikin Ashi candles and, ideally, a bright green VROC spike candle.
An "H" or "S" label marks a confirmed swing high. This is a potential selling/shorting opportunity, especially as HA candles turn red.
Example Strategy (High-Confluence)
A powerful way to use this indicator is to look for a sequence of events:
Wait for a "Buy" (B) or "Low" (L) signal to appear, confirming a bottom has likely formed.
Wait for the first bright green VROC spike candle to appear after the signal. This confirms that buyers are stepping in with conviction.
Consider an entry based on this high-confluence setup, using the swing low as a potential stop-loss area.
Settings Explained
Pivot Detection:
Left Bars (Strength): Number of bars to the left of a pivot. A higher number finds more significant pivots.
Right Bars (Confirmation): Number of bars to the right required to confirm a pivot. This creates a lag for reliability.
Volume Spike Detection (VROC):
Enable Volume Spike Highlighting: Turn the bright green candle highlight on or off.
VROC Length: The lookback period for calculating the volume's rate of change.
VROC Threshold %: The percentage volume must increase to trigger a highlight.
Label Customization:
Label Text Mode: Choose between "High & Low" or "Buy & Sell".
Label Color, Style, and Size: Full cosmetic control for the pivot labels.
Final Note
This indicator is a tool to aid in technical analysis and should not be used as a standalone trading system. Always use it in conjunction with other analysis methods, proper risk management, and a sound trading plan.
Enjoy!
Alligator (Intraday) + Bill Williams + Dotted S/R TrendlinesPredator Edge is a powerful all-in-one intraday trading tool designed for traders seeking high-probability entries within 3–5 hour windows. It combines Bill Williams' Alligator indicator, automated support & resistance trendlines, and RSI divergence detection, giving you precision market insights in real-time.
🔍 Core Features:
✅ 1. Alligator Indicator (Optimized for Intraday)
Uses shorter EMA settings to adapt to fast-moving markets
Clearly identifies market trends and consolidation zones
Color-coded jaws, teeth, and lips to visualize momentum
✅ 2. Dynamic Support & Resistance
Automatically plots dotted trendlines at key swing highs and lows
Line weight and length are tuned to stay relevant to recent price action
Clean and uncluttered visual presentation
✅ 3. RSI Divergence Detection
Detects bullish and bearish RSI divergences using price pivots
Labels appear directly on the chart for easy signal spotting
Optimized RSI length and pivot settings for short-term intraday use
Static ADR/ATR RangesSee how the price is moving in comparison to ATR and ADR to estimate the price movements intraday and anticipate breakouts, targets and stop losses.
Auto Trend Channel MTF | TCMasterAuto Trend Channel MTF
The Auto Trend Channel MTF is a dynamic price channel indicator that automatically identifies and draws trendlines based on recent swing highs and lows. It helps traders visualize the prevailing trend direction and potential support/resistance zones by connecting pivot points on a customizable timeframe.
This tool uses pivot-based logic to detect two recent highs and lows, calculates their slopes, and draws an upper and lower trendline — forming a real-time channel that extends into the future.
⚙️ How It Works
1. Pivot Sensitivity
The length input determines how sensitive the pivot detection is.
A lower value makes the indicator react faster; a higher value smooths out smaller fluctuations.
2. Higher Timeframe (HTF) Option
You can specify a higher timeframe (HTF) to base the channel calculations on.
Leave blank to use the current chart timeframe.
3. Auto-Detection of Trendlines
The indicator continuously detects the two latest pivot highs and pivot lows from the selected timeframe.
It calculates the slope between these pivot points.
Trendlines are extended into the future by a user-defined number of bars (extendBars).
4. Visual Output
Upper Trendline (from pivot highs): Red
Lower Trendline (from pivot lows): Green
Channel Fill (area between lines): Light blue (optional)
✅ How to Use
Setup Instructions
Add the script to your TradingView chart.
Choose your preferred pivot sensitivity and future extension length.
(Optional) Select a higher timeframe for more macro-level channeling.
Trading Applications
Trend Confirmation: Use the direction of the channel to confirm trend bias.
Support & Resistance: The upper and lower bounds can serve as dynamic support/resistance zones.
Breakout Detection: Watch for price to break above/below the channel.
Scalping & Swinging: Adjust sensitivity depending on your trading style.
🟥 Tips
For scalping, use lower sensitivity and current timeframe.
For trend-following, use a higher timeframe and smoother pivot detection.
📝 Notes
The channel automatically updates when new valid pivot points appear.
Trendlines are always drawn using the most recent confirmed pivot pairs.
This indicator is non-repainting once pivot points are confirmed.
Gold Scalping Indicator MTF | TCMaster🧠 Overview:
The Scalping Gold Indicator is a multi-condition entry signal tool designed for scalping, especially effective on gold (XAUUSD) and other volatile instruments. It identifies high-probability reversal points based on a combination of:
Keltner Channel touches
RSI reversal detection
Classic candlestick reversal patterns
Volume spike confirmation
This confluence-based approach aims to help traders capture short-term reversals and scalping opportunities with improved accuracy.
🔍 Core Logic:
✅ Buy Signal triggers when:
Price touches or drops below the Keltner Channel lower band
RSI (< 30) starts to reverse upward
A bullish candlestick pattern forms (e.g., Bullish Engulfing, Morning Star, Hammer)
Volume spikes above the highest volume of the last N bars
❌ Sell Signal triggers when:
Price touches or exceeds the Keltner Channel upper band
RSI (> 70) starts to drop downward
A bearish candlestick pattern forms (e.g., Bearish Engulfing, Evening Star, Hanging Man)
Volume spikes above the highest volume of the last N bars
📈 Recommended Timeframes:
Best suited for lower timeframes (e.g. 1m, 5m, 15m)
Automatically adapts internal settings based on chart timeframe
🛠️ How to Use:
Add the indicator to your chart
Use the green triangle for potential buy entries
Use the red triangle for potential sell entries
Combine with your stop-loss/take-profit strategy (e.g., recent swing high/low, or fixed pips)
Optional: Combine with trend filters (e.g., moving averages, higher timeframe bias) for added confirmation
🔔 Pro Tip:
To enhance signal reliability, look for setups where all conditions align within a few candles, especially during periods of volatility (e.g., news releases, session opens).
📜 Disclaimer (for community compliance):
This script is for educational and informational purposes only. It is not financial advice. Always do your own research and use proper risk management.
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.
Overlapping FVG - [Fandesoft Trading Academy]🧠 Overview
This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (30s–15m) has its own independent toggle, custom label, and box styling, giving traders unmatched control and clarity across multiple market structures.
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🎯 What It Does
✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa).
✅ Plots HTF FVG boxes accurately aligned in LTF charts for clearer intraday decision making.
✅ Custom timeframes: 30s to 15m — individually toggleable.
✅ Set custom labels per timeframe for easier reference.
✅ Full visual customization:
Border color
Bullish/Bearish box opacity
Label font size and color
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✨ Why It’s Unique
🔁 Multi-timeframe plotting from as low as 30 seconds to 15 minutes — all at once.
🖼️ Boxes plotted with fixed pixel-perfect width even on lower timeframes.
🎨 All visual aspects are fully configurable from the UI: labels, colors, borders.
🧩 Modular input system: you can turn off individual timeframes without code edits.
🧠 Smart barstate.isconfirmed usage ensures no repainting and stable historical plotting.
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⚙️ How It Works
The script requests data for each selected timeframe using request.security.
For every confirmed HTF bar:
It checks for an FVG based on simple imbalance logic:
Bullish FVG: low >= high
Bearish FVG: low >= high
If a valid gap exists:
A box is drawn using box.new() between candle 1 and candle 3 with matching label and style.
Timeframe toggles ensure efficient performance (below the request.security limit of 40).
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📈 Use Cases
Scalpers & Intraday Traders: Use 30s–15m HTF levels for precise microstructure guidance.
ICT Traders: Visualize displacement and inefficiency zones aligned with higher timeframe context.
FVG Stacking: Add this layer on top of FVG confluences.
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🔐 This script is invite-only. Contact the author for access.
📩 Perfect for serious traders, algorithmic strategists looking to visualize multi-timeframe imbalances efficiently.
6 gün önce
Sürüm Notları
🧠 Overview
This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (30s–15m) has its own independent toggle, custom label, and box styling, giving traders unmatched control and clarity across multiple market structures.
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🎯 What It Does
✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa).
✅ Plots HTF FVG boxes accurately aligned in LTF charts for clearer intraday decision making.
✅ Custom timeframes: 30s to 15m — individually toggleable.
✅ Set custom labels per timeframe for easier reference.
✅ Full visual customization:
Border color
Bullish/Bearish box opacity
Label font size and color
----------------------------------------------
✨ Why It’s Unique
🔁 Multi-timeframe plotting from as low as 30 seconds to 15 minutes — all at once.
🖼️ Boxes plotted with fixed pixel-perfect width even on lower timeframes.
🎨 All visual aspects are fully configurable from the UI: labels, colors, borders.
🧩 Modular input system: you can turn off individual timeframes without code edits.
🧠 Smart barstate.isconfirmed usage ensures no repainting and stable historical plotting.
----------------------------------------------
⚙️ How It Works
The script requests data for each selected timeframe using request.security.
For every confirmed HTF bar:
It checks for an FVG based on simple imbalance logic:
Bullish FVG: low >= high
Bearish FVG: low >= high
If a valid gap exists:
A box is drawn using box.new() between candle 1 and candle 3 with matching label and style.
Timeframe toggles ensure efficient performance (below the request.security limit of 40).
----------------------------------------------
📈 Use Cases
Scalpers & Intraday Traders: Use 30s–15m HTF levels for precise microstructure guidance.
ICT Traders: Visualize displacement and inefficiency zones aligned with higher timeframe context.
FVG Stacking: Add this layer on top of FVG confluences.
----------------------------------------------
🔐 This script is invite-only. Contact the author for access.
📩 Perfect for serious traders, algorithmic strategists looking to visualize multi-timeframe imbalances efficiently.
SM/CENKER - Scalping Signal w/ Volume SpikeSM/CENKER - Scalping Signal with Volume Spike
This advanced scalping indicator combines MACD, RSI, EMA, VWAP, and volume spike detection to generate high-probability entry signals. It filters out low-quality setups by confirming entries only during volume surges.
🔍 Key Features:
✅ Volume Spike Filter: Signals are triggered only when volume exceeds 150% of the 20-bar average.
✅ Momentum Cross Confirmation: MACD crossover, RSI conditions, and price above/below EMA & VWAP are all required.
✅ Visual Background: Green or red background highlights BUY/SELL zones for quick decision-making.
✅ Clean Labels: Simple BUY/SELL labels are plotted on the chart.
✅ Optimized for Real-Time Scalping: Works effectively on 1M, 3M, 5M, and 15M charts.
📌 Recommended Timeframes & Settings:
Timeframe EMA RSI MACD Volume Spike Threshold
1 Minute 9 14 12-26-9 1.5x Avg Volume
3 Minute 9 14 12-26-9 1.5x Avg Volume
5 Minute 9 14 12-26-9 1.5x Avg Volume
15 Minute 9 14 12-26-9 1.5x Avg Volume
⚠️ Disclaimer: This script is for educational purposes only and does not constitute financial advice.
Fib-SMAs + 38↘23 Signal🧠 Fibonacci Time-Ribbon — the 32.8↗23.6 Bearish Reversion Signal (30min)
This indicator plots a dynamic ribbon of Simple Moving Averages (SMAs) derived from key Fibonacci and Golden Spiral ratios applied to time — not price.
It features five SMAs, calculated as Fibonacci-based percentages of a customizable base length (default: 100 candles):
% of base Color Rhythm
23.6% Fuchsia Very fast
32.8% Aqua Fast
50.0% White Neutral
61.8% Yellow Slow
78.6% Orange Very slow
🔍 These SMAs behave like a time-based Fibonacci retracement ladder, dynamically responding to market rhythm and structure.
⚠️ What to Watch For — The “32↗23” Signal
Through repeated intraday testing on BTC, ETH, and high-beta altcoins, we’ve found that:
When the 32.8% SMA crosses above the 23.6% SMA on the 30-minute chart,
price often experiences a short-term correction within the next 4–5 candles (2–2.5 hours).
⏱️ Typical Sequence:
Appears after strong intraday pumps or short-squeeze extensions.
Marks the exhaustion of local upside momentum.
Price often reverts back toward the 50% or 61.8% SMAs (mean).
📉 Historical Outcomes
In back-tested environments:
70–80% of these crosses were followed by pullbacks ranging –3% to –9.8% and sometimes -15~18%.
The moves typically played out within 2–3 hours, making them ideal for scalpers and short-term swing traders.
🛠 Features & Customization
🟨 32↗23 diamond marker appears on every confirmed signal.
📣 Includes alertcondition() so you can automate alerts or trigger bots.
⚙️ Inputs:
Adjustable base period (default 100)
Toggle visibility of the 32↗23 signal
🧵 Full Fibonacci ribbon context (5 SMAs) for trend direction and dynamic support/resistance structure.
✅ How to Use It
Add to a 30-minute chart.
When the 32.8 SMA (aqua) crosses above the 23.6 SMA (fuchsia):
Consider securing profits if long.
Avoid chasing long entries.
Look for reversion or fade entries aligned with broader context (e.g., VWAP, resistance zones, AVWAP anchor points).
Use confluence with Multi-Timeframe AVWAP, structure, or momentum indicators for higher-confidence plays.
🧠 Why 32.8%?
32.8% is the inverse complement of the Golden Ratio (1 – 0.618 = 0.382, and 0.328 is just below that).
While 38.2% is common in swing trading, the 32.8% level reacts more sensitively in faster intraday charts, helping to spot momentum shifts early.
⚠️ Disclaimer
This tool is for educational purposes only.
Historical patterns do not guarantee future performance.
Use in combination with risk management and your own trading system.
Bitcoin Power Law Clock [LuxAlgo]The Bitcoin Power Law Clock is a unique representation of Bitcoin prices proposed by famous Bitcoin analyst and modeler Giovanni Santostasi.
It displays a clock-like figure with the Bitcoin price and average lines as spirals, as well as the 12, 3, 6, and 9 hour marks as key points in the cycle.
🔶 USAGE
Giovanni Santostasi, Ph.D., is the creator and discoverer of the Bitcoin Power Law Theory. He is passionate about Bitcoin and has 12 years of experience analyzing it and creating price models.
As we can see in the above chart, the tool is super intuitive. It displays a clock-like figure with the current Bitcoin price at 10:20 on a 12-hour scale.
This tool only works on the 1D INDEX:BTCUSD chart. The ticker and timeframe must be exact to ensure proper functionality.
According to the Bitcoin Power Law Theory, the key cycle points are marked at the extremes of the clock: 12, 3, 6, and 9 hours. According to the theory, the current Bitcoin prices are in a frenzied bull market on their way to the top of the cycle.
🔹 Enable/Disable Elements
All of the elements on the clock can be disabled. If you disable them all, only an empty space will remain.
The different charts above show various combinations. Traders can customize the tool to their needs.
🔹 Auto scale
The clock has an auto-scale feature that is enabled by default. Traders can adjust the size of the clock by disabling this feature and setting the size in the settings panel.
The image above shows different configurations of this feature.
🔶 SETTINGS
🔹 Price
Price: Enable/disable price spiral, select color, and enable/disable curved mode
Average: Enable/disable average spiral, select color, and enable/disable curved mode
🔹 Style
Auto scale: Enable/disable automatic scaling or set manual fixed scaling for the spirals
Lines width: Width of each spiral line
Text Size: Select text size for date tags and price scales
Prices: Enable/disable price scales on the x-axis
Handle: Enable/disable clock handle
Halvings: Enable/disable Halvings
Hours: Enable/disable hours and key cycle points
🔹 Time & Price Dashboard
Show Time & Price: Enable/disable time & price dashboard
Location: Dashboard location
Size: Dashboard size
✅ Trend Predictor with Breakout and Volume FlowComponents & What Each One Does:
1. Rate of Change (ROC) – Momentum Direction
• Measures the % change in price over a recent period.
• Helps confirm whether price momentum is positive (bullish) or negative (bearish).
2. ADX (Average Directional Index) – Trend Strength
• Tells how strong the current trend is.
• You set the threshold to detect only when the trend is strong enough (default: 15, loosened for more signals).
3. Volume Filter (vs. MA) – Confirm Real Activity
• Confirms breakouts are supported by higher-than-usual volume.
• You use volume > 0.8 × volume average — a looser filter to show more setups.
4. Chaikin Money Flow (CMF) – Smart Money Buying or Selling
• Measures volume-weighted accumulation/distribution over time.
• Helps detect money inflow/outflow, supporting or rejecting trend changes.
5. RSI (Relative Strength Index) – Overbought/Oversold Risk
• Momentum indicator to spot potential reversals from extremes.
• You now have a solid green horizontal line at 30 (oversold), and a red one at 70 (overbought).
6. Bollinger Band vs. Keltner Channel (Squeeze Detection) – Volatility Contraction
• Detects when price volatility compresses, creating a “squeeze”.
• Squeeze zones are shown with a purple background (lightened for visibility).
• These zones often precede explosive moves.
7. Inside Bar Breakout – Price Action Setup
• Looks for candles with lower high and higher low (inside bar), then a breakout of that range.
• This acts as a price action trigger to validate entry.
Ultimate Regression Channel v5.0 [WhiteStone_Ibrahim]Ultimate Regression Channel v5.0: Comprehensive User Guide
This indicator is designed to visualize the current trend, potential support/resistance levels, and market volatility through a statistical analysis of price action. At its core, it plots a regression line (a trend line) based on prices over a specific period and adds channels based on standard deviation around this line.
1. Core Features and Settings
Length Mode:
Numerical (Manual): You define the number of bars to be used for the regression channel calculation. You can use lower values (e.g., 50-100) for short-term analysis and higher values (e.g., 200-300) to identify long-term trends.
Automatic (Based on Market Structure): This mode automatically draws the channel starting from the highest high or lowest low that has formed within the Auto Scan Period. This allows the indicator to adapt itself to significant market turning points (swing points), which is highly useful.
Regression Model:
Linear: Calculates the trend as a straight line. It generally works well in stable, short-to-medium-term trends.
Logarithmic: Calculates the trend as a curved line. It more accurately reflects price action, especially on long-term charts or for assets that experience exponential growth/decline (like cryptocurrencies or growth stocks).
Channel Widths:
These settings determine how far from the central trend line (in terms of standard deviations) the channels will be drawn.
The 0 (Inner), 1 (Middle), and 2 (Outer) channels represent the "normal" range of price movement and the "extreme" zones. Statistically, about 95% of all price action occurs within the outer channels (2nd standard deviation).
2. Visual Extras and Their Interpretation
Breakout Style:
This feature alerts you when the price closes above the uppermost channel (Channel 2) with a green arrow/background or below the lowermost channel with a red arrow/background.
This is a very important signal. A breakout can signify that the current trend is strengthening and likely to continue (a breakout/trend-following strategy) or that the market has become overextended and may be due for a reversal (an exhaustion/top-bottom signal). It is critical to confirm this signal with other indicators (e.g., RSI, Volume).
Info Label:
This provides an at-a-glance summary of the channel on the right side of the chart:
Trend Status: Identifies the trend as "Uptrend," "Downtrend," or "Sideways" based on the slope of the centerline. The Horizontal Threshold setting allows you to filter out noise by treating very small slopes as "Sideways."
Regression Model and Length: Shows your current settings.
Trend Slope: A numerical value representing how steep or weak the trend is.
Channel Width: Shows the price difference between the outermost channels. This is a measure of current volatility. A widening channel indicates increasing volatility, while a narrowing one indicates decreasing volatility.
3. What Users Should Pay Attention To & Best Practices
Define Your Strategy: Mean Reversion or Breakout?
Mean Reversion: If the market is in a ranging or gently trending phase, the price will tend to revert to the centerline after hitting the outer channels (overbought/oversold zones). In this case, the outer channels can be considered opportunities to sell (upper channel) or buy (lower channel).
Breakout: If a strong trend is in place, a price close beyond an outer channel can be a sign that the trend is accelerating. In this scenario, one might consider taking a position in the direction of the breakout. Correctly analyzing the current market state (ranging vs. trending) is key to deciding which strategy to employ.
Don't Use It in Isolation: No indicator is a holy grail. Use the Regression Channel in conjunction with other tools. Confirm signals with RSI divergences for overbought/oversold conditions, Moving Averages for the overall trend direction, or Volume indicators to confirm the strength of a breakout.
Choose the Right Model: On shorter-term charts (e.g., 1-hour, 4-hour), the Linear model is often sufficient. However, on long-term charts like the daily, weekly, or monthly, the Logarithmic model will provide much more accurate results, especially for assets with parabolic movements.
The Power of Automatic Mode: The Automatic length mode is often the most practical choice because it finds the most logical starting point for you. It saves you the trouble of adjusting settings, especially when analyzing different assets or timeframes.
Use the Alerts: If you don't want to miss the moment the price touches a key channel line, set up an alert from the Alert Settings section for your desired line (e.g., only the "Outer Channels"). This helps you catch opportunities even when you are not in front of the screen.
FVG fill with immediate rebalance [LuciTech]The "FVG fill with immediate rebalance AKA Golden Arrow" indicator is designed to identify Fair Value Gaps (FVGs) and detect immediate rebalances to highlight potential trading opportunities. It uses colored boxes to mark FVGs and triangular markers to signal bullish or bearish setups, helping traders pinpoint key price levels where imbalances occur and price reactions are likely.
Key Features
FVG Detection: Spots bullish and bearish Fair Value Gaps based on price action, with customizable width settings.
Golden Arrow Signals: Displays triangular markers when price fills an FVG and immediately rebalances, indicating potential reversal or continuation zones.
Customizable Colors: Bullish FVGs appear in green and bearish FVGs in red by default, with options to tweak colors in the settings.
Time Filter: Allows signals to be restricted to a specific time window, highlighted by a background fill for clarity.
Alert System: Supports TradingView alerts for "Bullish Golden Arrow" and "Bearish Golden Arrow" signals to keep traders updated on setups.
How It Works
FVG Calculation: Analyzes gaps between candles to identify FVGs, with user-defined minimum width options (points, percentages, or ATR-based).
Signal Generation: Triggers a Golden Arrow signal when price fills the FVG and rebalances immediately, based on wick penetration and closing conditions.
Visual Aids:
Bullish FVGs are shown as green boxes, bearish FVGs as red boxes.
Upward triangles mark bullish signals, downward triangles mark bearish signals.
Time-Based Filtering: Optionally limits signals to specific hours, with a background fill showing the active period.
Smart Reversal Signal Indicator | TCMasterSmart Reversal Signal Indicator| TCMaster
The Smart Reversal Signal Indicator is a multi-factor technical indicator designed to detect potential market reversal points. It combines three powerful components:
Stochastic Oscillator (%K, %D)
Relative Strength Index (RSI)
Candlestick Reversal Patterns + Equal High/Low (EQH/EQL) zones
When these elements align, the indicator generates a buy or sell signal and highlights the chart background (green for buy, red for sell).
Technical Breakdown
1. Stochastic Oscillator
%K is calculated with a user-defined length and smoothed using a moving average.
%D is the SMA of %K with customizable smoothing.
Buy Signal (Stochastic): %K crosses above %D while below 20.
Sell Signal (Stochastic): %K crosses below %D while above 80.
2. RSI (Relative Strength Index)
Uses a customizable length and overbought/oversold levels.
Buy Signal (RSI): RSI crosses above the oversold threshold.
Sell Signal (RSI): RSI crosses below the overbought threshold.
3. EQH / EQL Zones (from Higher Timeframe)
Pulls high/low data from a higher timeframe (eq_tf) and checks the last eq_lookback bars.
EQH (Equal High): Price is near a recent high within eqh_tolerance %.
EQL (Equal Low): Price is near a recent low within eql_tolerance %.
4. Candlestick Reversal Patterns
Bullish Patterns:
Hammer
Morning Star
Bearish Patterns:
Hanging Man
Shooting Star
Evening Star
Signal Conditions
Buy Signal:
Stochastic bullish crossover
RSI crosses up from oversold
Price near EQL zone
Bullish candlestick reversal pattern
Sell Signal:
Stochastic bearish crossover
RSI crosses down from overbought
Price near EQH zone
Bearish candlestick reversal pattern
✅ Usage Guide
Step 1: Add to Chart
Open a chart on TradingView.
Choose your desired timeframe (e.g., 15m, 1h).
Paste the Pine Script into the Pine Editor.
Click “Add to Chart”.
Step 2: Customize Settings
Adjust input values for RSI, Stochastic, and EQH/EQL according to your strategy.
Tune the sensitivity for scalping, intraday, or swing trading.
Step 3: Trade the Signals
Green background: A strong confluence for a BUY signal — consider entering a long trade.
Red background: A strong confluence for a SELL signal — consider entering a short trade.
Combine with support/resistance zones or trendlines for greater accuracy.
Step 4: Set Alerts
Use TradingView Alerts with the conditions:
Buy Alert: when a buy signal is generated.
Sell Alert: when a sell signal is generated.
📌 Notes
This is an advanced reversal detection tool. It works best when used with price action or supply/demand zones.
More reliable in sideways or range-bound markets, or at major support/resistance areas.
Avoid using it alone in strong trending markets without confirmation from multiple timeframes.
RSI Divergence Indicator + TrendlinesThe RSI Divergence Indicator with Trendlines is a technical analysis tool that combines the Relative Strength Index (RSI) with price and RSI trendlines to identify potential trend reversals or continuations. It highlights bullish and bearish divergences by comparing the movement of price action against the RSI oscillator, and plots automatic trendlines for visual clarity.
