AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system.
✅ When to Use This Strategy
• Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W).
• Best used on uptrending assets like Gold.
• Designed for swing trading – holding trades from a few days to weeks.
📊 How It Works
1. Find the Trend
We only want to trade in the direction of the trend.
• The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend.
• If the price is above the 200 EMA, we consider it an uptrend and allow long trades.
2. Identify Breakout Levels
• The strategy detects recent high and low pivot points to draw Fibonacci extension levels.
• It focuses on the 1.618 Fibonacci level, which is often a target in strong trends.
• When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy.
3. Enter a Trade
• The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA).
4. Manage Risk Automatically
• The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops.
• It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks.
⚠️ Important Notes
• 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD).
• 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
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LB | SB | OH | OL (Auto Futures OI)This indicator is for trading purposes, particularly in futures markets given the inclusion of open interest (OI) data.
Indicator Name and Overlay: The indicator is named "LB | SB | OH | OL" and is set to overlay on the price chart (overlay=true).
Override Symbol Input: Users can input a symbol to override the default symbol for analysis.
Open Interest Data Retrieval: It retrieves open interest data for the specified symbol and time frame. If no data is found, it generates a runtime error.
Dashboard Configuration: Users can choose to display a dashboard either at the top right, bottom right, or bottom left of the chart.
Calculations:
It calculates the percentage change in open interest (oi_change).
It calculates the percentage change in price compared to the previous day's close (price_change).
Build Up Conditions:
Long Build Up: When there's a significant increase in open interest (OIChange threshold) and price rises (PriceChange threshold).
Short Build Up: When there's a significant increase in open interest (OIChange threshold) and price falls (PriceChange threshold).
Display Table:
It creates a table on the chart showing the build-up conditions, open interest change percentage, and price change percentage.
Labeling:
It allows for the labeling of buy and sell conditions based on price movements.
Overall, this indicator provides a visual representation of open interest and price movements, helping traders identify potential trading opportunities based on build-up conditions and price behavior.
The "LB | SB | OH | OL" indicator is a tool designed to assist traders in analyzing price movements and open interest (OI) changes in FNO markets. This indicator combines various elements to provide insights into long build-up (LB), short build-up (SB), open-high (OH), and open-low (OL) scenarios.
Key features of the indicator include:
Override Symbol Input: Traders can override the default symbol and input their preferred symbol for analysis.
Open Interest Data: The indicator retrieves open interest data for the selected symbol and time frame, facilitating analysis based on changes in open interest.
Dashboard: The indicator features a customizable dashboard that displays key information such as build-up conditions, OI change, and price change.
Build-Up Conditions: The indicator identifies long build-up and short build-up scenarios based on user-defined thresholds for OI change and price change percentages.
Customization Options: Traders have the flexibility to customize various aspects of the indicator, including colors for long build-up, short build-up, positive OI change, negative OI change, positive price change, and negative price change.
Label Plots: Buy and sell labels are plotted on the chart to highlight potential trading opportunities. Traders can customize the colors and text colors of these labels based on their preferences.
Overall, the "LB | SB | OH | OL" indicator offers traders a comprehensive tool for analyzing price movements and open interest changes, helping them make informed trading decisions in the FNO markets.
ATR | LOTSIZE | Risk (Futures)This Pine Script is a futures-specific trading utility designed to help F\&O (Futures and Options) traders quickly assess the volatility and position sizing for any selected stock on the chart — even if it's not a futures chart.
What the Script Does:
* Automatically detects the futures symbol for the underlying equity using a dynamic mapping system.
* Calculates the ATR (Average True Range) of the futures contract using either SMA or EMA.
* Fetches the Lot Size (Point Value) of the futures instrument.
* Computes risk per lot by multiplying ATR with lot size (Risk = ATR × Lot Size).
* Displays all 3 values — ATR, Lot Size, and Risk in INR — in a compact table on the chart.
Why This Is Useful for F\&O Traders:
* ✅ Quick Risk Assessment: Helps traders understand how much is at risk per lot without switching to the actual futures chart.
* ✅ Position Sizing: Provides data to calculate how many lots to trade based on a defined risk per trade.
* ✅ Volatility Awareness:ATR gives insights into how much the stock typically moves, guiding stop-loss and target placements.
* ✅ Efficient Workflow:No need to load separate futures charts or lookup lot sizes manually — saves time and reduces error.
This tool is ideal for discretionary and systematic traders who want risk and volatility context for every trade, especially in the NSE Futures & Options segment.
McGinley Dynamic debugged🔍 McGinley Dynamic Debugged (Adaptive Moving Average)
This indicator plots the McGinley Dynamic, a mathematically adaptive moving average designed to reduce lag and better track price action during both trends and consolidations.
✅ Key Features:
Adaptive smoothing: The McGinley Dynamic adjusts itself based on the speed of price changes.
Lag reduction: Compared to traditional moving averages like EMA or SMA, McGinley provides smoother yet responsive tracking.
Stability fix: This version includes a robust fix for rare recursive calculation issues, particularly on low-priced historical assets (e.g., Wipro pre-2000).
⚙️ What’s Different in This Debugged Version?
Implements manual clamping on the source / previous value ratio to prevent mathematical spikes that could cause flattening or distortion in the plotted line.
Ensures more stable behavior across all instruments and timeframes, especially those with historically low price points or volatile early data.
💡 Use Case:
Ideal for:
Trend confirmation
Entry filtering
Adaptive support/resistance visualization
Improving signal precision in low-volatility or high-noise environments
⚠️ Notes:
Works best when combined with volume filters or other trend indicators for validation.
This version is optimized for visual use—for signal generation, consider pairing it with additional logic or thresholds.
Laplace Momentum Percentile ║ BullVision 🔬 Overview
Laplace Momentum Percentile ║ BullVision is a custom-built trend analysis tool that applies Laplace-inspired smoothing to price action and maps the result to a historical percentile scale. This provides a contextual view of trend intensity, with optional signal refinement using a Kalman filter.
This indicator is designed for traders and analysts seeking a normalized, scale-independent perspective on market behavior. It does not attempt to predict price but instead helps interpret the relative strength or weakness of recent movements.
⚙️ Key Concepts
📉 Laplace-Based Smoothing
The core signal is built using a Laplace-style weighted average, applying an exponential decay to price values over a specified length. This emphasizes recent movements while still accounting for historical context.
🎯 Percentile Mapping
Rather than displaying the raw output, the filtered signal is converted into a percentile rank based on its position within a historical lookback window. This helps normalize interpretation across different assets and timeframes.
🧠 Optional Kalman Filter
For users seeking additional smoothing, a Kalman filter is included. This statistical method updates signal estimates dynamically, helping reduce short-term fluctuations without introducing significant lag.
🔧 User Settings
🔁 Transform Parameters
Transform Parameter (s): Controls the decay rate for Laplace weighting.
Calculation Length: Sets how many candles are used for smoothing.
📊 Percentile Settings
Lookback Period: Defines how far back to calculate the historical percentile ranking.
🧠 Kalman Filter Controls
Enable Kalman Filter: Optional toggle.
Process Noise / Measurement Noise: Adjust the filter’s responsiveness and tolerance to volatility.
🎨 Visual Settings
Show Raw Signal: Optionally display the pre-smoothed percentile value.
Thresholds: Customize upper and lower trend zone boundaries.
📈 Visual Output
Main Line: Smoothed percentile rank, color-coded based on strength.
Raw Line (Optional): The unsmoothed percentile value for comparison.
Trend Zones: Background shading highlights strong upward or downward regimes.
Live Label: Displays current percentile value and trend classification.
🧩 Trend Classification Logic
The indicator segments percentile values into five zones:
Above 80: Strong upward trend
50–80: Mild upward trend
20–50: Neutral zone
0–20: Mild downward trend
Below 0: Strong downward trend
🔍 Use Cases
This tool is intended as a visual and contextual aid for identifying trend regimes, assessing historical momentum strength, or supporting broader confluence-based analysis. It can be used in combination with other tools or frameworks at the discretion of the trader.
⚠️ Important Notes
This script does not provide buy or sell signals.
It is intended for educational and analytical purposes only.
It should be used as part of a broader decision-making process.
Past signal behavior should not be interpreted as indicative of future results.
Triple EMA Momentum Oscillator (TEMO) HistogramThis Pine Script code replicates the Python indicator you provided, calculating the Triple EMA Momentum Oscillator (TEMO) and generating signals based on its value and momentum.
Explanation of the Code:
User Inputs:
Allows you to adjust the periods for the short, mid, and long EMAs.
Calculate EMAs:
Computes the Exponential Moving Averages for the specified periods.
Calculate EMA Spreads (Distances):
Finds the differences between the EMAs to understand the spread between them.
Calculate Spread Velocities:
Determines the change in spreads from the previous period, indicating momentum.
Composite Strength Score:
Weighted calculation of the spreads normalized by the EMA values.
Velocity Accelerator:
Weighted calculation of the velocities normalized by the EMA values.
Final TEMO Oscillator:
Combines the spread strength and velocity accelerator to create the TEMO.
Generate Signals:
Signals are generated when TEMO is positive and increasing (buy), or negative and decreasing (sell).
Plotting:
Zero Line: Helps visualize when TEMO crosses from positive to negative.
TEMO Oscillator: Plotted with green for positive values and red for negative values.
Signals: Displayed as a histogram to indicate buy (1) and sell (-1) signals.
Usage:
Buy Signal: When TEMO is above zero and increasing.
Sell Signal: When TEMO is below zero and decreasing.
Note: This oscillator helps identify momentum changes based on EMAs of different periods. It's useful for detecting trends and potential reversal points in the market.
Timeframe % TrakcerPulls historical closes from nine higher-timeframe look-backs (1 H, 12 H, 1 D, 7 D, 14 D, 1 M, 3 M, 6 M, 1 Y, 3 Y) with request.security().
2. Calculates the percent change between each look-back close and the current price:
(close − close₍look-back₎) / close₍look-back₎ × 100
3. Renders a two-column table in the chart’s top-right corner.
• Left column = timeframe label
• Right column = % move, rounded to two decimals
4. Heat-codes the cells — green if the asset is up, red if it’s down — so you can spot momentum (or pain) instantly.
5. Stays lightweight by updating only on the last bar; no excess runtimes.
X OROverview
Designed to plot hourly opening ranges (ORs) on an intraday chart. It primarily serves as a trading tool for assessing market direction and potential trading opportunities by analyzing price action relative to key OHLC (Open, High, Low, Close) levels within each hourly range.
The code provided is for each hour sessions from 2:00 AM to 3:00 PM for a complete session-based framework. In addition there is the RTH open range
Purpose
The core purpose of this indicator is to:
✅ Define each hourly range (based on the session’s opening bar) by recording the high and low of that range.
✅ Extend this range into the following bars for visual reference — serving as dynamic support and resistance zones.
✅ Monitor price action relative to each hourly OR, helping traders evaluate market direction and structure trades using concepts like:
Breakouts above/below the OR high/low.
Rejections or consolidations within the OR.
Continuation or reversal signals tied to each OR.
Key Features
The script marks the first bar of the session as the OR session start.
During this bar, it initializes:
Opening price
Session high
Session low
These levels form the initial range.
🔹 Dynamic Range Tracking
Throughout the one-minute OR session:
The highest and lowest prices are updated in real time, capturing intra-hour volatility.
A visual background box is drawn to highlight the OR range on the chart.
🔹 Range Extension
The script defines an extended session period after the initial OR (e.g., 2:00 AM-2:45 AM for the 2:00 AM session).
During this extension period:
The box persists on the chart, providing a contextual zone that traders can use as a dynamic support/resistance area.
🔹 Visual Representation
Transparent colored boxes highlight each session’s OR visually on the chart.
These boxes help traders easily identify whether price is trading:
Inside the OR
Breaking above the high (potential bullish continuation)
Breaking below the low (potential bearish continuation)
Application in Trading
🔍 Trading the Opening Range Breakout
Traders often use the OR high and low as breakout triggers. For example:
A price break above the OR high may signal bullish momentum.
A break below the OR low may signal bearish momentum.
⚖️ Support and Resistance
Even if breakouts fail, the OR can act as a pivot zone — offering areas for:
Stop placements
Target levels
Entry confirmations for fade trades or mean reversion strategies.
🕒 Session Awareness
By defining each hour’s OR individually (from 2:00 AM to 3:00 PM), traders can:
Analyze price behavior within each session.
Recognize when liquidity or volatility increases (e.g. around overlapping sessions like London open or New York open).
Summary
This Pine Script indicator provides a powerful framework for visualizing and trading hourly opening ranges. It enhances intraday analysis by:
Structuring price action within hourly boxes.
Highlighting key price levels relative to OHLC concepts.
Helping traders make more informed decisions by assessing price behavior around these critical ranges.
Not-So-Average True Range (nsATR)Not-So-Average True Range (nsATR)
*By Sherlock_MacGyver*
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Long Story Short
The nsATR is a complete overhaul of traditional ATR analysis. It was designed to solve the fundamental issues with standard ATR, such as lag, lack of contextual awareness, and equal treatment of all volatility events.
Key innovations include:
* A smarter ATR that reacts dynamically when price movement exceeds normal expectations.
* Envelope zones that distinguish between moderate and extreme volatility conditions.
* A long-term ATR baseline that adds historical context to current readings.
* A compression detection system that flags when the market is coiled and ready to break out.
This indicator is designed for traders who want to see volatility the way it actually behaves — contextually, asymmetrically, and with predictive power.
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What Is This Thing?
Standard ATR (Average True Range) has limitations:
* It smooths too slowly (using Wilder's RMA), which delays detection of meaningful moves.
* It lacks context — no way to know if current volatility is high or low relative to history.
* It treats all volatility equally, regardless of scale or significance.
nsATR** was built from scratch to overcome these weaknesses by applying:
* Amplification of large True Range spikes.
* Visual envelope zones for detecting volatility regimes.
* A long-term context line to anchor current readings.
* Multi-factor compression analysis to anticipate breakouts.
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Core Features
1. Breach Detection with Amplification
When True Range exceeds a user-defined threshold (e.g., ATR × 1.2), it is amplified using a power function to reflect nonlinear volatility. This amplified value is then smoothed and cascades into future ATR values, affecting the indicator beyond a single bar.
2. Direction Tagging
Volatility spikes are tagged as upward or downward based on basic price momentum (close vs previous close). This provides visual context for how volatility is behaving in real-time.
3. Envelope Zones
Two adaptive envelopes highlight the current volatility regime:
* Stage 1: Moderate volatility (default: ATR × 1.5)
* Stage 2: Extreme volatility (default: ATR × 2.0)
Breaching these zones signals meaningful expansion in volatility.
4. Long-Term Context Baseline
A 200-period simple moving average of the classic ATR establishes whether current readings are above or below long-term volatility expectations.
5. Multi-Signal Compression Detection
Flags potential breakout conditions when:
* ATR is below its long-term baseline
* Price Bollinger Bands are compressed
* RSI Bollinger Bands are also compressed
All three signals must align to plot a "Volatility Confluence Dot" — an early warning of potential expansion.
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Chart Outputs
In the Indicator Pane:
* Breach Amplified ATR (Orange line)
* Classic ATR baseline (White line)
* Long-Term context baseline (Cyan line)
* Stage 1 and Stage 2 Envelopes (Purple and Yellow lines)
On the Price Chart:
* Triangles for breach direction (green/red)
* Diamonds for compression zones
* Optional background coloring for visual clarity
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Alerts
Built-in alert conditions:
1. ATR breach detected
2. Stage 1 envelope breached
3. Stage 2 envelope breached
4. Compression zone detected
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Customization
All components are modular. Traders can adjust:
* Display toggles for each visual layer
* Colors and line widths
* Breach threshold and amplification power
* Envelope sensitivity
* Compression sensitivity and lookback windows
Some options are disabled by default to reduce clutter but can be turned on for more aggressive signal detection.
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Real-Time Behavior (Non-Repainting Clarification)
The indicator updates in real time on the current bar as new data comes in. This is expected behavior for live trading tools. Once a bar closes, values do not change. In other words, the indicator *does not repaint history* — but the current bar can update dynamically until it closes.
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Use Cases
* Day traders: Use compression zones to anticipate volatility surges.
* Swing traders: Use envelope breaches for regime awareness.
* System developers: Replace standard ATR in your logic for better responsiveness.
* Risk managers: Use directional volatility signals to better model exposure.
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About the Developer
Sherlock_MacGyver develops original trading systems that question default assumptions and solve real trader problems.
Grid TLong V1The “Grid TLong V1” strategy is based on the classic Grid strategy, but in the mode of buying and selling in favor of the trend and only on Long. This allows to take advantage of large uptrend movements to maximize profits in bull markets. For this reason, excessively sideways or bearish markets may not be very conducive to this strategy.
Like our Grid strategies in favor of the trend, you can enter and exit with the balance with controlled risk, as the distance between each grid functions as a natural and adaptable stop loss and take profit. What differentiates it from bidirectional strategies is that Short uses a minimum amount of follow-through, so that the percentage distance between the grids is maintained.
In this version of the script the entries and exits can be chosen at market or limit , and are based on the profit or loss of the current position, not on the percentage change in price.
The user may also notice that the strategy setup is risk-controlled, because it risks 5% on each trade, has a fairly standard commission and modest initial capital, all in order to protect the strategy user from unrealistic results.
As with all strategies, it is strongly recommended to optimize the parameters for the strategy to be effective for each asset and for each time frame.
Previous Highs & Lows (Customizable)Previous Highs & Lows (Customizable)
This Pine Script indicator displays horizontal lines and labels for high, low, and midpoint levels across multiple timeframes. The indicator plots levels from the following periods:
Today's session high, low, and midpoint
Yesterday's high, low, and midpoint
Current week's high, low, and midpoint
Last week's high, low, and midpoint
Last month's high, low, and midpoint
Last quarter's high, low, and midpoint
Last year's high, low, and midpoint
Features
Individual Controls: Each timeframe has separate toggles for showing/hiding high/low levels and midpoint levels.
Custom Colors: Independent color selection for lines and labels for each timeframe group.
Display Options:
Adjustable line width (1-5 pixels)
Variable label text size (tiny, small, normal, large, huge)
Configurable label offset positioning
Organization: Settings are grouped by timeframe in a logical sequence from most recent (today) to least recent (last year).
Display Logic: Lines span the current trading day only. Labels are positioned to the right of the price action. The indicator automatically removes previous drawings to prevent chart clutter.
NSE/BSE Derivative - Next Expiry Date With HolidaysNSE & BSE Expiry Tracker with Holiday Adjustments
This Pine Script is a TradingView indicator that helps traders monitor upcoming expiry dates for major Indian derivative contracts. It dynamically adjusts these expiry dates based on weekends and holidays, and highlights any expiry that falls on the current day.
⸻
Key Features
1. Tracks Expiry Dates for Major Contracts
The script calculates and displays the next expiry dates for the following instruments:
• NIFTY (weekly expiry every Thursday)
• BANKNIFTY, FINNIFTY, MIDCPNIFTY, NIFTYNXT50 (monthly expiry on the last Thursday of the month)
• SENSEX (weekly expiry every Tuesday)
• BANKEX and SENSEX 50 (monthly expiry on the last Tuesday of the month)
• Stocks in the F&O segment (monthly expiry on the last Thursday)
2. Holiday Awareness
Users can input a list of holiday dates in the format YYYY-MM-DD,YYYY-MM-DD,.... If any calculated expiry falls on one of these holidays or a weekend, the script automatically adjusts the expiry to the previous working day (Monday to Friday).
3. Customization Options
The user can:
• Choose the position of the expiry table on the chart (e.g. top right, bottom left).
• Select the font size for the expiry table.
• Enable or disable the table entirely (if implemented as an input toggle).
4. Visual Expiry Highlighting
If today is an expiry day for any instrument, the script highlights that instrument in the display. This makes it easy to spot significant expiry days, which are often associated with increased volatility and trading volume.
⸻
How It Works
• The script calculates the next expiry for each index using built-in date/time functions.
• For weekly expiries, it finds the next occurrence of the designated weekday.
• For monthly expiries, it finds the last Thursday or Tuesday of the month.
• Each expiry date is passed through a check to adjust for holidays or weekends.
• If today matches the adjusted expiry date, that row is visually emphasized.
⸻
Use Case
This script is ideal for traders who want a quick glance at which instruments are expiring soon — especially those managing options, futures, or expiry-based strategies.
Random State Machine Strategy📌 Random State Machine Strategy (Educational)
This strategy showcases a randomized entry model driven by a finite state machine, integrated with user-defined exit controls and a full-featured moving average filter.
🧠 Trade Entry Logic
Entries occur only when:
A random trigger occurs (~5% probability per bar)
The state machine accepts a new transition (sm.step())
Price is:
Above the selected MA for long entries
Below the selected MA for short entries
This ensures that entries are both stochastically driven and trend-aligned, avoiding frequent or arbitrary trades.
⚙️ How It Works
Randomized Triggers
A pseudo-random generator (seeded with time and volume) attempts to trigger state transitions.
Finite State Machine
Transitions are managed using the StateMachine from robbatt/lib_statemachine — credit to @robbatt for the modular FSM design.
Controlled Reset
The state machine resets every N bars (default: 100) if at least two transitions have occurred. This prevents stale or locked states.
Backtest Range
Define a specific test window using Start and End Date inputs.
Risk & Exits
Specify risk in points and a target risk/reward ratio. TP is auto-computed. Timed and MA-based exits can be toggled.
🧪 How to Use
Enable Long or Short trades
Choose your Moving Average type and length
Set Risk per trade and R/R ratio
Toggle TP/SL, timed exit, or MA cross exit
Adjust the State Reset Interval to suit your signal frequency
📘 Notes
Educational use only — not financial advice
Random logic is used to model structure, not predict movement
Thanks to @robbatt for the lib_statemachine integration
Volume pressure by GSK-VIZAG-AP-INDIA🔍 Volume Pressure by GSK-VIZAG-AP-INDIA
🧠 Overview
“Volume Pressure” is a multi-timeframe, real-time table-based volume analysis tool designed to give traders a clear and immediate view of buying and selling pressure across custom-selected timeframes. By breaking down buy volume, sell volume, total volume, and their percentages, this indicator helps traders identify demand/supply imbalances and volume momentum in the market.
🎯 Purpose / Trading Use Case
This indicator is ideal for intraday and short-term traders who want to:
Spot aggressive buying or selling activity
Track volume dynamics across multiple timeframes *1 min time frame will give best results*
Use volume pressure as a confirming tool alongside price action or trend-based systems
It helps determine when large buying/selling activity is occurring and whether such behavior is consistent across timeframes—a strong signal of institutional interest or volume-driven trend shifts.
🧩 Key Features & Logic
Real-Time Table Display: A clean, dynamic table showing:
Buy Volume
Sell Volume
Total Volume
Buy % of total volume
Sell % of total volume
Multi-Time frame Analysis: Supports 8 user-selectable custom time frames from 1 to 240 minutes, giving flexibility to analyze volume pressure at various granularities.
Color-Coded Volume Bias:
Green for dominant Buy pressure
Red for dominant Sell pressure
Yellow for Neutral
Intensity-based blinking for extreme values (over 70%)
Dynamic Data Calculation:
Uses volume * (close > open) logic to estimate buy vs sell volumes bar-by-bar, then aggregates by timeframe.
⚙️ User Inputs & Settings
Timeframe Selectors (TF1 to TF8): Choose any 8 timeframes you want to monitor volume pressure across.
Text & Color Settings:
Customize text colors for Buy, Sell, Total volumes
Choose Buy/Sell bias colors
Enable/disable blinking for visual emphasis on extremes
Table Appearance:
Set header color, metric background, and text size
Table positioning: top-right, bottom-right, etc.
Blinking Highlight Toggle: Enable this to visually highlight when Buy/Sell % exceeds 70%—a sign of strong pressure.
📊 Visual Elements Explained
The table has 6 rows and 10 columns:
Row 0: Headers for Today and TF1 to TF8
Rows 1–3: Absolute values (Buy Vol, Sell Vol, Total Vol)
Rows 4–5: Relative percentages (Buy %, Sell %), with dynamic background color
First column shows the metric names (e.g., “Buy Vol”)
Cells blink using alternate background colors if volume pressure crosses thresholds
💡 How to Use It Effectively
Use Buy/Sell % rows to confirm potential breakout trades or identify volume exhaustion zones
Look for multi-timeframe confluence: If 5 or more TFs show >70% Buy pressure, buyers are in control
Combine with price action (e.g., breakouts, reversals) to increase conviction
Suitable for equities, indices, futures, crypto, especially on lower timeframes (1m to 15m)
🏆 What Makes It Unique
Table-based MTF Volume Pressure Display: Most indicators only show volume as bars or histograms; this script summarizes and color-codes volume bias across timeframes in a tabular format.
Customization-friendly: Full control over colors, themes, and timeframes
Blinking Alerts: Rare visual feature to capture user attention during extreme pressure
Designed with performance and readability in mind—even for fast-paced scalping environments.
🚨 Alerts / Extras
While this script doesn’t include TradingView alert functions directly, the visual blinking serves as a strong real-time alert mechanism.
Future versions may include built-in alert conditions for buy/sell bias thresholds.
🔬 Technical Concepts Used
Volume Dissection using close > open logic (to estimate buyer vs seller pressure)
Simple aggregation of volume over custom timeframes
Table plotting using Pine Script table.new, table.cell
Dynamic color logic for bias identification
Custom blinking logic using na(bar_index % 2 == 0 ? colorA : colorB)
⚠️ Disclaimer
This indicator is a tool for analysis, not financial advice. Always backtest and validate strategies before using any indicator for live trading. Past performance is not indicative of future results. Use at your own risk and apply proper risk management.
✍️ Author & Signature
Indicator Name: Volume Pressure
Author: GSK-VIZAG-AP-INDIA
TradingView Username: prowelltraders
Opening Range 15 minThis indicator highlights the Opening Range (OR) for the first 15 minutes (9:30–9:45 AM EST). It visually plots high/low lines and a shaded box to define this range, helping traders identify key intraday levels for potential breakout or rejection scenarios. The script also provides optional overlays for the Previous Day’s High/Low and the Extended Hours High/Low, offering a complete context for day trading setups.
Main Features:
Opening Range Detection – Automatically calculates and draws the high/low of the 9:30–9:45 AM session.
Visual Enhancements – Includes customizable lines, shaded boxes, and labels to mark the OR high (ORH) and low (ORL) levels.
Previous Day High/Low (Optional) – Plots and labels the previous day's high and low for reference during current day trading.
Extended Hours High/Low (Optional, when ETH enabled) – Displays overnight session levels for added insight into early volatility (4:00 AM to 9:30 AM EST).
User Customization – Easily adjust colors, label styles, and visibility for all plotted levels and regions.
EMA CCI SSL BUY SELL Signal [THANHCONG]EMA CCI SSL BUY SELL Signal
Introduction:
The EMA CCI SSL BUY SELL Signal indicator is a comprehensive technical analysis tool designed to help traders identify trends and optimal entry and exit points with clarity and reliability. By combining reputable indicators such as EMA, CCI, SSL Channel, and RSI, this indicator generates buy and sell signals based on multiple validated factors, helping to filter noise and increase accuracy.
Key Features:
Utilizes multi-timeframe SSL channel with both automatic and manual mode options, suitable for various trading strategies.
Includes an RSI filter to minimize false signals in overbought or oversold regions.
Detects volume spikes to confirm the strength of the current trend.
Integrates CCI divergence and reversal candle patterns (Hammer, Shooting Star) to enhance signal precision in spotting potential reversals.
Displays clear buy/sell signals directly on the chart and provides a live performance table showing percentage changes.
Supports linear regression channel drawing to help users easily recognize trend direction and price volatility.
Recommended Usage:
Optimal Timeframes: Best used on 5-minute, 15-minute, 1-hour, 4-hour, 12-hour, and daily (D) timeframes. Avoid using on other timeframes to maintain signal reliability.
Signal Confirmation: Combine indicator signals with SSL channel direction and regression channel slope to improve confidence.
Combined Indicators: For enhanced effectiveness and noise reduction, it is recommended to use this indicator alongside the MCDX+RSI+SMA indicator. This combined approach provides a more comprehensive market view and supports better trading decisions.
Alerts: Users can set buy/sell alerts on TradingView to receive timely notifications when signals occur.
Important Notes:
This indicator is provided as a technical analysis aid and is not financial advice or a guarantee of profit.
Indicator performance may vary depending on market conditions and the traded asset.
Users should combine multiple tools and practice proper risk management when making trading decisions.
Thank You:
Thank you for using this indicator! If you find it useful, please consider leaving positive feedback and sharing it to help build a professional, transparent, and sustainable trading community.
Disclaimer:
The author and TradingView are not responsible for any losses resulting from the use of this indicator. Please trade responsibly and carefully consider your decisions.
Wishing you successful and safe trading!
#EMA #CCI #SSLChannel #RSI #TradingView #BuySellSignals #TechnicalAnalysis #TrendFollowing #VolumeSpike #CandlePatterns #TradingTools #Forex #Stocks #Crypto #Thanhcong
HTF Candle Breakout Fibonacci LevelsThis indicator automatically plots Fibonacci retracement levels on a lower timeframe (LTF) after detecting a breakout candle on a selected higher timeframe (HTF).
🔍 How It Works
When a candle on your selected HTF closes beyond the high or low of the previous candle, the indicator automatically draws Fibonacci levels on the LTF.
These levels remain visible until the next HTF candle is formed — allowing you to trade retracements with contextual precision.
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⚙️ Customization Options
From the indicator settings, you can modify:
• The HTF candle timeframe (default is 1D)
• Fibonacci levels and colors
• Enable or disable “Show Only the Latest Levels” — ideal for live trading to keep the chart clean and focused.
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🟪 HTF Candles Preview
After applying the indicator, you’ll see 3 vertical bars on the right edge of your LTF chart. These represent a live preview of the last three HTF candles and update in real-time.
If you prefer a cleaner chart, disable this feature via the “Show HTF Candles” toggle in the settings.
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Feel free to reach out if you have any questions.
Strategy Builder With IndicatorsThis strategy script is designed for traders who enjoy building systems using multiple indicators.
Please note: This script does not include any built-in indicators. Instead, it works by referencing the plot outputs of the indicators you’ve already added to your chart.
For example, if you add a MACD and an ATR indicator to your chart, you can assign their plot values as inputs in the settings panel of this strategy.
• MACD as a trigger
• ATR as a filter
How Filters Work
Filters check whether certain conditions are met before a trade can be opened. For instance, if you set a filter like ATR > 30, then no trade will be executed unless that condition is true — even if the trigger fires.
All filters are linked, meaning every active filter must be satisfied for a trade to occur.
How Triggers Work
Triggers are what actually fire a trade signal — such as a moving average crossover or RSI breaking above a specific level. Unlike filters, triggers are independent. Only one active trigger needs to be true for the trade to execute.
Thanks to its modular structure, this strategy can be used with any indicator of your choice.
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Risk Management Features
In the settings, you’ll find flexible options for:
• Stop Loss (SL)
• Trailing Stop Loss (TSL)
• Multi Take-Profit (TP)
These features enhance trade safety and let you tailor your risk management.
SL types available:
• Tick-based SL
• Percent-based SL
• ATR-based SL
Once you select your preferred SL type, you can fine-tune its distance using the offset field.
Trailing SL allows your stop to follow price as it moves in your favor — helping to lock in profits.
Multi-TP lets you take profits at two different levels, helping you secure gains while leaving room for extended moves.
Breakeven option is also available to automatically move your SL to entry after reaching a profit threshold.
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How to Build a Solid Strategy
Let’s break down a good setup into three key components:
1. Trend Filter
Avoid trading against the trend — that’s like swimming against the current.
Use a filter like:
• Supertrend
• Momentum indicators
• Candlestick bias, etc.
Example: In this case, I used Supertrend and filtered for trades only if the price is above the uptrend line.
2. Trigger Condition
Once we confirm the trend is on our side, we need a trigger to execute at the right moment. This can be:
• RSI cross
• Candlestick patterns
• Trendline breaks
• Moving average crossovers, etc.
Example: I used RSI crossing above 50 as the entry trigger.
3. Risk Management
Even in the right trend at the right time — anything can happen. That’s why you should always define Stop Loss and Take Profit levels.
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And there you have it! Your strategy is ready to backtest, refine, and deploy with alerts for live trading.
Questions or suggestions? Feel free to reach out
Volatility Bias ModelVolatility Bias Model
Overview
Volatility Bias Model is a purely mathematical, non-indicator-based trading system that detects directional probability shifts during high volatility market phases. Rather than relying on classic tools like RSI or moving averages, this strategy uses raw price behavior and clustering logic to determine potential breakout direction based on recent market bias.
How It Works
Over a defined lookback window (default 10 bars), the strategy counts how many candles closed in the same direction (i.e., bullish or bearish).
Simultaneously, it calculates the price range during that window.
If volatility is above a minimum threshold and a clear directional bias is detected (e.g., >60% of closes are bullish), a trade is opened in the direction of that bias.
This approach assumes that when high volatility is coupled with directional closing consistency, the market is probabilistically more likely to continue in that direction.
ATR-based stop-loss and take-profit levels are applied, and trades auto-exit after 20 bars if targets are not hit.
Key Features
- 100% non-indicator-based logic
- Statistically-driven directional bias detection
- Works across all timeframes (1H, 4H, 1D)
- ATR-based risk management
- No pyramiding, slippage and commissions included
- Compatible with real-world backtesting conditions
Realism & Assumptions
To make this strategy more aligned with actual trading environments, it includes 0.05% commission per trade and a 1-point slippage on every entry and exit.
Additionally, position sizing is set at 10% of a $10,000 starting capital, and no pyramiding is allowed.
These assumptions help avoid unrealistic backtest results and make the performance metrics more representative of live conditions.
Parameter Explanation
Bias Window (10 bars): Number of past candles used to evaluate directional closings
Bias Threshold (0.60): Required ratio of same-direction candles to consider a bias valid
Minimum Range (1.5%): Ensures the market is volatile enough to avoid noise
ATR Length (14): Used to dynamically define stop-loss and target zones
Risk-Reward Ratio (2.0): Take-profit is set at twice the stop-loss distance
Max Holding Bars (20): Trades are closed automatically after 20 bars to prevent stagnation
Originality Note
Unlike common strategies based on oscillators or moving averages, this script is built on pure statistical inference. It models the market as a probabilistic process and identifies directional intent based on historical closing behavior, filtered by volatility. This makes it a non-linear, adaptive model grounded in real-world price structure — not traditional technical indicators.
Disclaimer
This strategy is for educational and experimental purposes only. It does not constitute financial advice. Always perform your own analysis and test thoroughly before applying with real capital.
Schmit Trading LiquidityDescription
Schmit Trading Liquidity Marker automatically spots and labels open liquidity sweep levels by detecting classic stop-run patterns (Bull→Bear for highs, Bear→Bull for lows) across multiple timeframes. Lines are drawn exactly at the wick of the triggering candle and removed as soon as price “sweeps” through them, keeping your chart clean and focused on live levels only.
How It Works
1. Pattern Detection
• Liquidity High: When a bullish candle is immediately followed by a bearish candle (Bull→Bear), the script records the higher of the two wicks.
• Liquidity Low: When a bearish candle is immediately followed by a bullish candle (Bear→Bull), the script records the lower of the two wicks.
2. Multi-Timeframe Support
• Choose up to six timeframes (5 min, 15 min, 30 min, 1 h, 4 h, daily) via checkboxes.
• Each timeframe is evaluated independently, and liquidity levels are drawn on your current chart.
3. Precision Wick Placement
• Lines start at bar_index – 1 so they align exactly with the wick of the signal candle, regardless of your chart’s timeframe.
4. Automatic Cleanup
• As soon as price closes beyond a drawn line (sweep), that line is deleted automatically.
Inputs
Input Name Description
Show 5 min. Enable liquidity detection on the 5-minute timeframe.
Show 15 min. Enable liquidity detection on the 15-minute timeframe.
Show 30 min. Enable liquidity detection on the 30-minute timeframe.
Show 1 h. Enable liquidity detection on the 1-hour timeframe.
Show 4 h. Enable liquidity detection on the 4-hour timeframe.
Show 1 D. Enable liquidity detection on the daily timeframe.
High Line Color. Color of Bull→Bear (liquidity high) lines (default: red).
Low Line Color. Color of Bear→Bull (liquidity low) lines (default: blue).
Line Length. How many bars each liquidity line extends to the right.
Usage Tips
• Focus on Live Zones: Combine with volume or order-flow tools to confirm genuine
liquidity sweeps.
• Multiple TFs: Enable higher timeframes for major liquidity clusters; lower timeframes
for fine‐tuning entries.
• Chart Cleanliness: Lines self‐delete on sweep, ensuring no manual cleanup is needed.
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Disclosure & License
This indicator is Open-Source under the Mozilla Public License 2.0. Feel free to review, adapt, and improve the code. No performance guarantees—use responsibly and backtest any strategy before trading live.
Crypto Long RSI Entry with AveragingIndicator Name:
04 - Crypto Long RSI Entry with Averaging + Info Table + Lines (03 style lines)
Description:
This indicator is designed for crypto trading on the long side only, using RSI-based entry signals combined with a multi-step averaging strategy and a visual information panel. It aims to capture price rebounds from oversold RSI levels and manage position entries with two staged averaging points, optimizing the average entry price and take-profit targets.
Key Features:
RSI-Based Entry: Enters a long position when the RSI crosses above a defined oversold level (default 25), with an optional faster entry if RSI crosses above 20 after being below it.
Two-Stage Averaging: Allows up to two averaging entries at user-defined price drop percentages (default 5% and 14%), increasing position size to improve average entry price.
Dynamic Take Profit: Adjusts take profit targets after each averaging stage, with customizable percentage levels.
Visual Signals: Marks entries, averaging points, and exits on the chart using colored labels and lines for easy tracking.
Info Table: Displays current trade status, averaging stages, total profit, number of wins, and maximum drawdown percentage in a table on the chart.
Graphical Lines: Shows horizontal lines for entry price, take profit, and averaging prices to visually track trade management.
Commodity Trend Reactor [BigBeluga]
🔵 OVERVIEW
A dynamic trend-following oscillator built around the classic CCI, enhanced with intelligent price tracking and reversal signals.
Commodity Trend Reactor extends the traditional Commodity Channel Index (CCI) by integrating trend-trailing logic and reactive reversal markers. It visualizes trend direction using a trailing stop system and highlights potential exhaustion zones when CCI exceeds extreme thresholds. This dual-level system makes it ideal for both trend confirmation and mean-reversion alerts.
🔵 CONCEPTS
Based on the CCI (Commodity Channel Index) oscillator, which measures deviation from the average price.
Trend bias is determined by whether CCI is above or below user-defined thresholds.
Trailing price bands are used to lock in trend direction visually on the main chart.
Extreme values beyond ±200 are treated as potential reversal zones.
🔵 FEATURES\
CCI-Based Trend Shifts:
Triggers a bullish bias when CCI crosses above the upper threshold, and bearish when it crosses below the lower threshold.
Adaptive Trailing Stops:
In bullish mode, a trailing stop tracks the lowest price; in bearish mode, it tracks the highest.
Top & Bottom Markers:
When CCI surpasses +200 or drops below -200, it plots colored squares both on the oscillator and on price, marking potential reversal zones.
Background Highlights:
Each time a trend shift occurs, the background is softly colored (lime for bullish, orange for bearish) to highlight the change.
🔵 HOW TO USE
Use the oscillator to monitor when CCI crosses above or below threshold values to detect trend activation.
Enter trades in the direction of the trailing band once the trend bias is confirmed.
Watch for +200 and -200 square markers as warnings of potential mean reversals.
Use trailing stop areas as dynamic support/resistance to manage stop loss and exit strategies.
The background color changes offer clean confirmation of trend transitions on chart.
🔵 CONCLUSION
Commodity Trend Reactor transforms the simple CCI into a complete trend-reactive framework. With real-time trailing logic and clear reversal alerts, it serves both momentum traders and contrarian scalpers alike. Whether you’re trading breakouts or anticipating mean reversions, this indicator provides clarity and structure to your decision-making.
The Strat The Strat Bar Type Identifier – Pure Price Action Logic
This open-source indicator implements the foundational bar classification of "The Strat" method developed by Rob Smith. It identifies each candle on the chart as one of the three core types used in The Strat:
* Inside Bar (1): The candle’s range is fully within the previous candle’s range. This indicates consolidation or balance and often precedes breakouts or reversals.
* Two-Up Bar (2U): The current candle breaks the previous high but does not break its low. This is considered bullish directional movement.
* Two-Down Bar (2D): The current candle breaks the previous low but not the high. This signals bearish directional movement.
* Outside Bar (3): The candle breaks both the high and the low of the previous candle, signaling a broadening formation and high volatility.
The script plots a character below each candle based on its type:
* "1" for Inside Bar
* "2" for Two-Up or Two-Down (color-coded)
* "3" for Outside Bar
This tool helps traders quickly identify actionable setups according to The Strat method and serves as a foundation for more advanced strategies like the 3-1-2 reversal or 1-2-2 continuation.
All calculations are based purely on price action—no indicators, no smoothing, no lagging elements. It is ideal for traders looking to understand price structure and bar sequencing from a Strat perspective.
To use:
1. Add the indicator to any chart and timeframe.
2. Look for the numbers below the candles.
3. Analyze the sequence of bar types to spot Strat setups.
This script is educational and can be extended with multi-timeframe context, FTFC logic, actionable signals, or broadening formation detection.
Clean, minimal, and faithful to the core principles of The Strat.
