Tetris with Auto-PlayThis indicator is implemented in Pine Script™ v6 and serves as a demonstration of TradingView's capabilities. The core concept is to simulate a classic Tetris game by creating a grid-based environment and managing game state entirely within Pine Script.
Key Technical Aspects:
Grid Representation:
The script defines a custom grid structure using a user-defined type that holds the grid’s dimensions and a one-dimensional array to simulate a two-dimensional board. This structure is used to track occupied cells, clear full rows, and determine stack height.
Piece Management:
A second custom type is used to represent the state of a tetromino piece, including its type, rotation, and position. The code includes functions to calculate the block offsets for each tetromino based on its rotation state.
Collision Detection and Piece Locking:
Dedicated functions check for collisions against the grid borders and existing blocks. When a collision is detected during a downward move, the piece is locked into the grid, and any complete lines are cleared.
AIgo-Driven Placement:
The script incorporates a simple heuristic to determine the best placement for the next tetromino. It simulates different rotations and horizontal positions, evaluating each based on aggregated column height, cleared lines, holes, and bumpiness. This decision-making process is encapsulated in an AI-like function that returns the optimal rotation and placement.
Rendering Using Tables:
The visual representation is managed via TradingView’s table objects. The game board is rendered with a bordered layout, while a separate preview table displays the next piece and the current score. Each cell is updated with text and background colors that correspond to the state of the game.
Execution Flow and Timing:
The main execution loop handles real-time updates by dropping pieces at set intervals and checking for game-over conditions. The code leverages persistent variables and time comparisons to control game speed and manage transitions between piece drops.
Executing:
Add the indicator to the chart
It starts playing itself till game over
There are no parameters to change in this version but the grid in the code directly
p.s. Sadly we have no interactive buttons in the current pinescript versions to play ourself, but its about the possibilitys what we could do ;-)
Maybe in a future version there is more possible, if i find time to enhance and expand the idea
Have fun :-)
Pesquisar nos scripts por " TABLE "
Volumen trend indicator 5MVOLUMEN TREND INDICATOR
Introduction
This indicator on TradingView provides a combination of technical analysis through a data table and visual elements on the chart. Its purpose is to provide a comprehensive view of the analyzed asset, facilitating decision-making.
How It Works
The indicator operates on two levels:
Data Table:
Displays key information about the asset's trend.
Includes metrics such as the current price, percentage change, volatility, and other relevant variables.
Can be customized to include additional indicators as needed.
Provides a quick analysis without the need to interpret complex charts.
Technical Elements on the Chart:
Incorporates dynamic support and resistance lines.
Can include moving averages, Bollinger Bands, RSI, or other custom indicators.
Offers visual alerts for significant changes in the asset's trend.
Facilitates detailed technical analysis through direct observation of patterns and signals.
Default Technical Indicators
The indicator comes with the following default pre-configured technical indicators:
Exponential Moving Average (EMA) 9:
This EMA responds more quickly to price movements, making it ideal for identifying short-term trends. It is generally used to detect crossovers with other EMAs or prices and is considered an entry or exit signal.
Exponential Moving Average (EMA) 21:
The 21-period EMA is used to identify medium-term trends. Its interaction with the 9 EMA is key to confirming buy or sell signals when both cross.
RSI (Relative Strength Index):
It is used to measure the magnitude of recent gains and losses of an asset, helping to identify overbought or oversold conditions.
Bollinger Bands:
These bands help identify volatility levels and potential reversal points. Price touching the upper or lower bands can be an important signal of trend change or continuation.
Customization
The user can modify several aspects of the indicator, such as:
Colors and styles of visual elements on the chart.
Types of indicators to include in the table.
Configuration of alerts and notifications.
Time interval for calculations and data updates.
EMA values (the periods can be changed if other configurations are desired).
Recommended Usage
To make the most of the indicator:
Use the data table to get an overview of the asset.
Analyze the technical elements on the chart to confirm trends.
Set alerts to avoid missing key opportunities.
Compare the information with other indicators and data sources before making decisions.
Precautions and Best Practices
Avoid relying solely on the indicator: Complement it with other technical and fundamental analysis.
Adjust the settings according to the asset's volatility: Not all strategies work the same across different markets.
Don’t overload the chart with too many elements: This can create visual noise and confusion in interpretation.
Test it on a demo account before trading live: To familiarize yourself with the indicator's functionality and adjustments.
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Remember that no system is perfect, keep these considerations in mind for this indicator:
Do not trade when a signal appears during an opposite trend:
Do not trade when the market is uncertain in its direction or within a parallel channel:
ROC + SMI Auto Adjust
This indicator combines the Rate of Change (ROC) and the Stochastic Momentum Index (SMI) with automatically adjusted parameters for different time frames (short, medium, long). It normalizes the ROC to match the SMI levels, displays the ROC as a histogram and the SMI as lines, highlights overbought/oversold zones and includes a settings table. Ideal for analyzing momentum on different time frames.
Key Features:
Automatic Parameter Adjustment:
The script detects the current chart time frame (e.g. 1-minute, 1-hour, daily) and adjusts the parameters for the ROC and SMI accordingly.
Parameters such as ROC length, SMI length and smoothing periods are optimized for short, medium and long term time frames.
Rate of Change (ROC):
ROC measures the percentage change in price over a specified period.
The script normalizes the ROC values to match the SMI range, making it easier to compare the two indicators on the same scale.
The ROC is displayed as a histogram, where positive values are colored green and negative values are colored red.
Stochastic Momentum Index (SMI):
SMI is a momentum oscillator that identifies overbought and oversold conditions.
The script calculates the SMI and its signal line, plotting them on the chart.
Overbought and oversold levels are displayed as dotted lines for convenience.
SMI and SMI Signal Crossover:
When the main SMI crosses the signal line from below upwards, it may be a buy signal (bullish signal).
When the SMI crosses the signal line from above downwards, it may be a sell signal (bearish signal).
Configurable Inputs:
Users can use the automatically adjusted settings or manually override the parameters (e.g. ROC length, SMI length, smoothing periods).
Overbought and oversold levels for SMI are also configurable.
Parameter Table:
A table is displayed on the chart showing the current parameters (e.g. timeframe, ROC length, SMI length) for transparency and debugging.
The position of the table is configurable (e.g. top left, bottom right).
How it works:
The script first detects the chart timeframe and classifies it as short-term (e.g. 1M, 5M), medium-term (e.g. 1H, 4H) or long-term (e.g. D1, W1).
Based on the timeframe, it sets default values for the ROC and SMI parameters.
ROC and SMI are calculated and normalized so that they can be compared on the same scale.
ROC is displayed as a histogram, while SMI and its signal line are displayed as lines.
Overbought and oversold levels are displayed as horizontal lines.
Use cases:
Trend identification: ROC helps to identify the strength of the trend, while SMI indicates overbought/oversold conditions.
Momentum analysis: The combination of ROC and SMI provides insight into both price momentum and potential reversals.
Time frame flexibility: The auto-adjustment feature makes the script suitable for scalping (short-term), swing trading (medium-term) and long-term investing.
BUY & SELL Dynamic DCA StrategyOverview
The BUY & SELL Dynamic DCA Strategy is a versatile Pine Script indicator designed for traders seeking a robust Dollar Cost Averaging (DCA) approach to manage both long and short positions across various market conditions and timeframes. This innovative tool combines breakout-based level initiation with a dynamic volatility adjustment, enabling traders to enter positions at optimal DCA points, average them strategically, and manage risk with adjustable stop-loss and take-profit levels. Ideal for scalping on short timeframes (1-minute, 5-minute) or swing trading on longer ones (15-minute, 1-hour, 4-hour).
Purpose and Originality
The "BUY & SELL Dynamic DCA Strategy" stands out by integrating several trading concepts into a cohesive, trader-friendly system. While it leverages familiar elements like breakout points and ATR (Average True Range), its originality lies in:
Dynamic Volatility Adjustment: A custom volatility factor, derived from a capped ATR calculation, dynamically scales DCA entry, averaging, and stop-loss levels. This ensures the strategy adapts to market conditions, tightening in low volatility for scalping and widening in high volatility for swing trading.
Dual-Direction DCA: Supports both buy (long) entries on pullbacks and sell (short) entries on rallies, with tailored averaging and exit strategies for each.
Timeframe Versatility: Adjusts its sensitivity based on the chart timeframe, making it suitable for rapid scalping or longer-term trend riding without requiring manual recalibration.
This unique synthesis justifies its publication as a invite-only script, offering a practical tool that enhances traditional DCA methods with adaptive precision.
How It Works
The indicator operates through a multi-step process designed to optimize entry, averaging, and exit points:
1. Initial Level Setting:
Utilizes high and low threshold (calculated over a user-defined period) to establish initial DCA entry levels. If no threshold is detected, it defaults to the previous bar’s price, ensuring immediate applicability.
2. Dynamic DCA Entry:
Entry levels are adjusted using a proprietary volatility factor, which scales the distance from the current price. Long entries trigger when the price falls below this level, while short entries trigger when the price rises above it, with a volume confirmation filter to reduce noise.
3. Averaging Mechanism:
A secondary level (Averaging Level) allows traders to add to their position when the price moves further against the trade (down for longs, up for shorts). This level is also volatility-adjusted, providing a structured cost-reduction strategy.
4. Risk and Reward Management:
A Final Stop-Loss (Final SL) is set farther out, calculated as a multiple of the volatility-adjusted risk distance, offering protection after averaging.
Take-Profit (TP) levels are determined using a user-defined risk-to-reward ratio, ensuring a balanced exit strategy tailored to market movement.
5. Performance Tracking:
A real-time win/loss table in the top-right corner records trade outcomes, with wins and losses color-coded based on the trade direction (green/red for long, red/green for short), aiding performance evaluation.
Features
1. Dual-Mode Operation : Facilitates both long entries on price dips and short entries on price surges, adaptable to bullish and bearish markets.
2. Volatility-Adaptive Levels: Employs a custom ATR-based adjustment to scale entry, averaging, and stop-loss levels, enhancing responsiveness across timeframes.
3. Visual Tools: Features dashed lines and labels for DCA Entry (green for long, red for short), Final SL (red), and TP (cyan), with debug labels for entries and averages.
4. Timeframe Flexibility: Automatically adjusts threshold periods and volatility factors based on the chart timeframe (1m, 5m, 15m, 1h, 4h), optimizing for scalping or swing trading.
5. Customizable Parameters: Allows fine-tuning of period, DCA factors, and visibility options.
Settings
Base Length (default: 10): Base period for pivot calculations, scaled by timeframe (e.g., 10 becomes 20 on 5m).
Type: 'Wicks' (high/low) or 'Body' (open/close) for price-based levels.
RR Ratio (default: 1.2): Risk-to-reward ratio for TP calculation.
DCA Entry Factor (default: 1.0): Multiplier for volatility-adjusted DCA entry distance.
Avg Level Factor (default: 2.0): Multiplier for averaging level distance.
Final SL Factor (default: 3.0): Multiplier for final stop-loss distance.
SL Type: 'Close' or 'High/Low' for stop-loss evaluation.
Show DCA Entry, Show Avg Level, Show Final SL: Toggle visibility of respective lines.
Show Win/Loss Table: Enable/disable performance tracking.
Line Style: Select 'Solid', 'Dashed', or 'Dotted'.
Usage Instructions
1. Application:
Add the "BUY & SELL Dynamic DCA Strategy - JOAT" via the Pine Editor or community scripts on TradingView.
2. Configuration:
Scalping (1m, 5m): Set Base Length to 5-10, use a low DCA Entry Factor (0.5-1.0) for tight entries, and a Final SL Factor of 2.0-3.0.
Swing Trading (15m, 1h, 4h): Increase Base Length to 15-20, use a higher DCA Entry Factor (1.0-2.0), and set Final SL Factor to 3.0-4.0 for wider stops.
Enable visual elements and adjust Line Style as preferred.
3. Signal Interpretation:
Long Trade: A green dashed "DCA Entry" line below the price triggers a "Long Entry" label on crossover down.
Short Trade: A red dashed "DCA Entry" line above the price triggers a "Short Entry" label on crossover up.
Averaging: A yellow "Avg" label (long) or magenta "Avg" label (short) appears at the respective averaging level.
Exits: TP (cyan) for wins, Final SL (red) for losses, tracked in the win/loss table.
Trade Management:
Scalping: Use 1m/5m for quick trades, averaging as price moves against you.
Swing Trading: Use 15m/1h/4h to capture trends, averaging for cost adjustment.
Manually adjust position size for averaging based on risk tolerance.
5. Performance Monitoring:
The top-right table updates with wins (green/red) and losses (red/green) per trade type, helping assess strategy effectiveness.
Limitations
Manual Averaging: Requires manual position size adjustment at the Averaging Level; automation is not included.
Timeframe Sensitivity: May require parameter tuning for optimal performance across 1m to 4h.
No Trend Filter: Sideways markets may generate noise; adding a trend indicator could enhance accuracy (future development).
Initialization Delay: First trade may be delayed until a pivot is detected, using the current price as a fallback.
Originality Justification
The custom volAdj method, which caps ATR at a percentage of price and scales it by timeframe, offering a unique volatility adjustment not found in standard indicators.
The dual-direction DCA with averaging, combining long and short strategies with volatility-modulated levels, providing a comprehensive trading framework.
The timeframe-adaptive design, automatically adjusting pivot periods and volatility factors, making it a versatile tool across scalping and swing trading.
MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
Market Movement After OpenDescription:
This script provides a detailed visualization of market movements during key trading hours: the German market opening (08:00–09:00 UTC+1) and the US market opening (15:30–16:30 UTC+1). It is designed to help traders analyze price behavior in these critical trading periods by capturing and presenting movement patterns and trends directly on the chart and in an interactive table.
Key Features:
Market Movement Analysis:
Tracks the price movement during the German market's first hour (08:00–09:00 UTC+1) and the US market's opening session (15:30–16:30 UTC+1).
Analyzes whether the price moved up or down during these intervals.
Visual Representation:
Dynamically colored price lines indicate upward (green) or downward (red) movement during the respective periods.
Labels ("DE" for Germany and "US" for the United States) mark key moments in the chart.
Historical Data Table:
Displays the past 10 trading days' movement trends in an interactive table, including:
Date: Trading date.
German Market Movement: Up (▲), Down (▼), or Neutral (-) for 08:00–09:00 UTC+1.
US Market Movement: Up (▲), Down (▼), or Neutral (-) for 15:30–16:30 UTC+1.
The table uses color coding for easy interpretation: green for upward movements, red for downward, and gray for neutral.
Real-Time Updates:
Automatically updates during live trading sessions to reflect the most recent movements.
Highlights incomplete periods (e.g., ongoing sessions) to indicate their status.
Customizable:
Suitable for intraday analysis or broader studies of market trends.
Designed to overlay directly on any price chart.
Use Case:
This script is particularly useful for traders who focus on market openings, which are often characterized by high volatility and significant price movements. By providing a clear visual representation of historical and live data, it aids in understanding and capitalizing on market trends during these critical periods.
Notes:
The script works best when the chart is set to the appropriate timezone (UTC+1 for the German market or your local equivalent).
For precise trading decisions, consider combining this script with other technical indicators or trading strategies.
Feel free to share feedback or suggest additional features to enhance the script!
Adapted RSI w/ Multi-Asset Regime Detection v1.1The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of an asset's recent price changes to detect overbought or oversold conditions in the price of said asset.
In addition to identifying overbought and oversold assets, the RSI can also indicate whether your desired asset may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell.
The RSI will oscillate between 0 and 100. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
The RSI is one of the most popular technical indicators. I intend to offer a fresh spin.
Adapted RSI w/ Multi-Asset Regime Detection
Our Adapted RSI makes necessary improvements to the original Relative Strength Index (RSI) by combining multi-timeframe analysis with multi-asset monitoring and providing traders with an efficient way to analyse market-wide conditions across different timeframes and assets simultaneously. The indicator automatically detects market regimes and generates clear signals based on RSI levels, presenting this data in an organised, easy-to-read format through two dynamic tables. Simplicity is key, and having access to more RSI data at any given time, allows traders to prepare more effectively, especially when trading markets that "move" together.
How we calculate the RSI
First, the RSI identifies price changes between periods, calculating gains and losses from one look-back period to the next. This look-back period averages gains and losses over 14 periods, which in this case would be 14 days, and those gains/losses are calculated based on the daily closing price. For example:
Average Gain = Sum of Gains over the past 14 days / 14
Average Loss = Sum of Losses over the past 14 days / 14
Then we calculate the Relative Strength (RS):
RS = Average Gain / Average Loss
Finally, this is converted to the RSI value:
RSI = 100 - (100 / (1 + RS))
Key Features
Our multi-timeframe RSI indicator enhances traditional technical analysis by offering synchronised Daily, Weekly, and Monthly RSI readings with automatic regime detection. The multi-asset monitoring system allows tracking of up to 10 different assets simultaneously, with pre-configured major pairs that can be customised to any asset selection. The signal generation system provides clear market guidance through automatic regime detection and a five-level signal system, all presented through a sophisticated visual interface with dynamic RSI line colouring and customisable display options.
Quick Guide to Use it
Begin by adding the indicator to your chart and configuring your preferred assets in the "Asset Comparison" settings.
Position the two information tables according to your preference.
The main table displays RSI analysis across three timeframes for your current asset, while the asset table shows a comparative analysis of all monitored assets.
Signals are colour-coded for instant recognition, with green indicating bullish conditions and red for bearish conditions. Pay special attention to regime changes and signal transitions, using multi-timeframe confluence to identify stronger signals.
How it Works (Regime Detection & Signals)
When we say 'Regime', a regime is determined by a persistent trend or in this case momentum and by leveraging this for RSI, which is a momentum oscillator, our indicator employs a relatively simple regime detection system that classifies market conditions as either Bullish (RSI > 50) or Bearish (RSI < 50). Our benchmark between a trending bullish or bearish market is equal to 50. By leveraging a simple classification system helps determine the probability of trend continuation and the weight given to various signals. Whilst we could determine a Neutral regime for consolidating markets, we have employed a 'neutral' signal generation which will be further discussed below...
Signal generation occurs across five distinct levels:
Strong Buy (RSI < 15)
Buy (RSI < 30)
Neutral (RSI 30-70)
Sell (RSI > 70)
Strong Sell (RSI > 85)
Each level represents different market conditions and probability scenarios. For instance, extreme readings (Strong Buy/Sell) indicate the highest probability of mean reversion, while neutral readings suggest equilibrium conditions where traders should focus on the overall regime bias (Bullish/Bearish momentum).
This approach offers traders a new and fresh spin on a popular and well-known tool in technical analysis, allowing traders to make better and more informed decisions from the well presented information across multiple assets and timeframes. Experienced and beginner traders alike, I hope you enjoy this adaptation.
Fractal Model [Pro+] (TTrades)Introduction:
Crafted with TTrades, the Fractal Model empowers traders with a refined approach to Algorithmic Price Delivery. Specifically designed for those aiming to capitalize on expansive moves, this model anticipates momentum shifts, swing formations, orderflow continuations, as well as helping analysts highlight key areas to anticipate price deliveries.
Description:
The Fractal Model° is rooted in the cyclical nature of price movements, where price alternates between large and small ranges. Expansion occurs when price moves consistently in one direction with momentum. By combining higher Timeframe closures with the confirmation of the change in state of delivery (CISD) on the lower Timeframe, the model reveals moments when expansion is poised to occur.
Thanks to TTrades' extensive research and years of studying these price behaviors, the Fractal Model° is a powerful, adaptive tool that seamlessly adjusts to any asset, market condition, or Timeframe, translating complex price action insights into an intuitive and responsive system.
The TTrades Fractal Model remains stable and non-repainting, offering traders reliable, unchanged levels within the given Time period. This tool is meticulously designed to support analysts focus on price action and dynamically adapt with each new Time period.
Key Features:
Custom History: Control the depth of your historical view by selecting the number of previous setups you’d like to analyze on your chart, from the current setup only (0) to a history of up to 40 setups. This feature allows you to tailor the chart to your specific charting style, whether you prefer to see past setups or the current view only.
Fractal Timeframe Pairings: This indicator enables users to observe and analyze lower Timeframe (LTF) movements within the structure of a higher Timeframe (HTF) candle. By examining LTF price action inside each HTF candle, analysts can gain insight into micro trends, structure shifts, and key entry points that may not be visible on the higher Timeframe alone. This approach provides a layered perspective, allowing analysts to closely monitoring how the LTF movements unfold within the overarching HTF context.
For a more dynamic and hands-off user experience, the Automatic feature autonomously adjusts the higher Timeframe pairing based the current chart Timeframe, ensuring accurate alignment with the Fractal Model, according to TTrades and his studies.
Bias Selection: This feature allows analysts complete control over bias and setup detection, allowing one to view bullish or bearish formations exclusively, or opt for a neutral bias to monitor both directions. Easily toggle the bias filter on Fractal Model to align with your higher Timeframe market draw.
Indicator Notice for Timeframe Pairing Limitations: This indicator supports Timeframe pairings (e.g., 5m-1H, 15m-4H). If you select a timeframe, grater than the lower Timeframe (LTF) view (e.g., viewing a 15m chart when 5m-1H is enabled), the indicator will display an warning message within the table. Although the higher Timeframe (HTF) candle plotting will remain visible, note that the LTF’s CISD and associated projections will not render in this view.
Customizable Time Filters: Further synchronize Time and price studies by selecting up to three custom Time windows, filtering model formations that fall outside these specified ranges. This provides clarity and focus on relevant price action signatures within defined Time windows, at the discretion of the analyst.
Higher Time Frame Candles (PO3): The Fractal Model° integrates the HTF Power of Three framework, enabling traders to visualize and spot critical turning points live. By incorporating this structure, traders can observe key phases of price delivery and market transitions on lower Timeframes, while monitoring higher Timeframe candle development.
Info Table: Display a customizable information table that includes key details such as timeframe pairing, Time until the next higher Timeframe candle close, analyst bias, and applied Time filter preferences. Options for size, location, and border give analysts full control over the table’s appearance on the chart.
TTrades Framework Customization :
TTFM Lables (C2/C3/C4): When a setup remains valid, the label will display in gray, signifying stable conditions for the setup.
If the setup fails—defined by price returning to the initial high or low without forming a higher Timeframes swing point—the indicator will stop plotting projections, Equilibrium (EQ), Liquidity Sweep, and the T-spot. In this case, the labels for key points (C2, C3, C4) will remain on the chart but turn red, clearly indicating the failure of the setup.
If the setup does not fail within the next higher Timeframes candle, which defines the setup’s formation, the label will turn orange. This orange color signals potential consolidation, or slowdown, suggesting that the market may enter a range or pause in trend movement within the setup.
Candle 1 Liquidity: Highlight important liquidity levels at each swing point with horizontal rays, marking sweeps of liquidity and potential reversals.
Change in State of Delivery (CISD): Mark the series of candles making up significant highs or lows. A close beyond the opening price signals a change from bullish to bearish or vice versa, confirming a trend reversal.
Candle Equilibrium: Indicates 50% levels of higher time frame ranges, displaying discount and premium zones that provide additional context for potential entries and exits.
T-Spot Identification: The T-Spot marks anticipated points of the higher Timeframe candles where price wicks are expected to form, based on TTrades’ refined analysis and methodology. This level is invaluable for identifying high-probability reversal or continuation points within lower Timeframes, remaining aligned with the higher Timeframe narrative.
Projections: Leverage projected levels based on the shifts in delivery as per TTrades’ analysis. These user-defined levels serve as future points of interest for price to redeliver, rebalance, and exhaust. Analysts can add, or remove, desired projection levels – default projections being .
Formation Liquidity: Identify previous candles' highs and lows as critical liquidity points appertaining to the current developing formation. These zones are marked to provide easy visualization of engineered liquidity pools, serving as key reference points for future price action.
Fully Automated Framework: all these components, when put together in the Fractal Model° , yield TTrades' fully automated system. Each component is customizable to the analyst's liking to match their unique visual preferences and model Timeframes.
Usage Guidance:
Add Fractal Model (TTrades) to your TradingView chart.
Select your preferred Time pairings, model history, Time filers.
Automate your analysis process with Fractal Model (TTrades) and leverage it into your existing strategies to fine-tune your view through TTrades' lens.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Bullrun Profit Maximizer [QuantraSystems]Bullrun Profit Maximizer
Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors.
Important Note!
The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script.
Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance.
This ensures that the system is less likely to degrade in performance over time, compared to hyper optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post backtest.
Even More Important Note!!
The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing.
While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes.
Introduction
The "Adaptive Pairwise Momentum System" is not a prototype to the Bullrun Profit Maximizer (BPM) . The Bullrun Profit Maximizer is a fully re-engineered, higher frequency momentum system.
The Bullrun Profit Maximizer (BPM) uses a completely different filter logic and refines momentum calculations, specifically to support higher frequency trading on Crypto's Blue Chip assets. It correctly calculates fees and slippage by compounding them against System Profit before plotting the equity curve.
Unlike prior systems, this script utilizes a completely new filter logic and refined momentum calculation, specifically built to support higher frequency trading on blue-chip assets, while minimizing the impact of fees and slippage.
While the APMS focuses on Macro Trend Alignment, the BPM instead applies an equity curve based filter, allowing for targeted precision on the current asset’s trend without relying on broader market conditions. This approach delivers more responsive and asset specific signals, enhancing agility in today’s fast paced crypto markets.
The BPM dynamically optimizes capital allocation across up to four high performing assets, ensuring that the portfolio adapts swiftly to changing market conditions. The system logic consists of sophisticated quantitative methods, rapid momentum analysis and alpha cyclicality/seasonality optimizations. The overarching goal is to ensure that the portfolio is always invested in the highest performing asset based on dynamic market conditions, while at the same time managing risk through rapid asset filters and internal mechanisms like alpha cyclicality, volatility and beta analysis.
In addition to these core functionalities, the BPM comes with the typical Quantra Systems UI design, structured to reduce data clutter and provide users with only the most essential, impactful information. The BPM UI format delivers clear and easy to read signals. It enables rapid decision making in a high frequency environment without compromising on depth or accuracy.
Bespoke Logic Filtering with Equity Curve Precision
The BPM script utilizes a completely new methodology and focuses on intraday rotations of blue-chip crypto assets, while previously built systems were designed with a longer term focus in mind.
In response to the need for more precise signal generation, the BPM replaces the previous macro trend filter with a new, highly specific equity curve activation filter. This unique logic filter is driven solely by the performance trends of the asset currently held by the system. By analyzing the equity curve directly, this system can make more targeted, timely allocations based on asset specific momentum, allowing for quick adjustments that are more relevant to the held asset rather than general market conditions.
The benefits of this new, unique approach are twofold: first, it avoids premature allocation shifts based on broader macro movements, and second, it enables the system to adapt dynamically to the performance of each asset individually. This asset specific filtering allows traders to capitalize on localized strength within individual blue-chip cryptoassets without being affected by lags in the overall market trend.
High Frequency Momentum Calculation for Enhanced Flexibility
The BPM incorporates a newly designed momentum calculation that increases its suitability across lower timeframes. This new momentum indicator captures and processes more data points within a shorter window than ever before, rather than extending bar intervals and potentially losing high frequency detail. This creates a smooth, data rich featureset that is especially suited for blue-chip assets, where liquidity reduces slippage and fees, making higher frequency trading viable.
By retaining more data, this system captures subtle shifts in momentum more effectively than traditional approaches, offering higher resolution insights. These modifications result in a system capable of generating highly responsive signals on faster timeframes, empowering traders to act quickly in volatile markets.
User Interface and Enhanced Readability
The BPM also features a reimagined, streamlined user interface, making it easier than ever to monitor essential signals at a glance. The new layout minimizes extraneous data points in the tables, leaving only the most actionable information for traders. This cleaner presentation is purpose built to help traders identify the strongest asset in real time, with clear, color coded signals to facilitate swift decision making in fast moving markets.
Equity Stats Table : Designed for clarity, the stats table focuses on the current allocation’s performance metrics, emphasizing the most critical metrics without unnecessary clutter.
Color Coded Highlights : The interface includes the option to highlight both the current top performing asset, and historical allocations - with indicators of momentum shifts and performance metrics readily accessible.
Clear Signals : Visual cues are presented in an enhanced way to improve readability, including simplified line coloring, and improve visualization of the outperforming assets in the allocation table.
Dynamic Asset Reallocation
The BPM dynamically allocates capital to the strongest performing asset in a selected pool. This system incorporates a re-engineered, pairwise momentum measurement designed to operate at higher frequencies. The system evaluates each asset against others in real time, ensuring only the highest momentum asset receives allocation. This approach keeps the portfolio positioned for maximum efficiency, with an updated weighting logic that favors assets showing both strength and sustainability.
Position Changes and Slippage Calculation
Position changes are optimized for faster reallocation, with realistic slippage and fee calculations factored into each trade. The system’s structure minimizes the impact of these costs on blue-chip assets, allowing for more active management on short timeframes without incurring significant drag on performance.
A Special Note on Fees + Slippage
In the image above, the system has been applied to four different timeframes - 12h, 8h, 4h and 1h - using identical settings and a selected slippage and fees amount of 0.2%. In this stress test, we isolate the choppy downwards period from the previous Bitcoin all time high - set in March 2024, to the current date where Bitcoin is currently sitting at around the same level.
This illustrates an important concept: starting at the 12h, the system performed better as the timeframes decreased. In fact, only on the 4hr chart did the system equity curve make a new all time high alongside Bitcoin. It is worth noting that market phases that are “non-trending” are generally the least profitable periods to use a momentum/trend system - as most systems will get caught by false momentum and will “buy the top,” and then proceed to “sell the bottom.”
Lower timeframes typically offer more data points for the algorithm to compute over, and enable quicker entries and exits within a robust system, often reducing downside risk and compounding gains more effectively - in all market environments.
However, slippage, fees, and execution constraints are still limiting factors. Although blue-chip cryptocurrencies are more liquid and can be traded with lower fees compared to low cap assets, frequent trading on lower timeframes incurs cumulative slippage costs. With the BPM system set to a realistic slippage rate of 0.2% per trade, this example emphasizes how even lower fees impact performance as trade frequency increases.
Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on.
Number of Position Changes
Understanding the number of position changes in a strategy is critical to assessing its feasibility in real world trading. Frequent position changes can lead to increased costs due to slippage and fees. Monitoring the number of position changes provides insight into the system’s behavior - helping to evaluate how active the strategy is and whether it aligns with the trader's desired time input for position management.
Equity Curve and Performance Calculations
To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a 100% allocation to Bitcoin, the highest market cap cryptoasset. This allows users to easily compare the performance of the dynamic rotation system with that of a more traditional investment strategy.
The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including:
Sharpe Ratio
The Sharpe Ratio is a key metric that evaluates a portfolio’s risk adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market.
By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets.
Sortino Ratio
The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the Bullrun Profit Maximizer - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto.
Omega Ratio
The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels.
Usage Summary:
While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways.
It can be used as above, or as a factor in forming part of a broader asset selection tool, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look at, for long-only trading setups on an intrabar timeframe.
Summary
The Bullrun Profit Maximizer is an advanced tool tailored for traders, offering the precision and agility required in today’s markets. With its asset specific equity curve filter, reworked momentum analysis, and streamlined user interface, this system is engineered to maximize gains and minimize risk during bullmarkets, with a strong focus on risk adjusted performance.
Its refined approach, focused on high resolution data processing and adaptive reallocation, makes it a powerful choice for traders looking to capture high quality trends on clue-chip assets, no matter the market’s pace.
Bank Nifty Open Interest IndicatorThe Bank Nifty Open Interest Indicator is a unique trading tool designed specifically for analyzing open interest in the Bank Nifty index. This script generates actionable buy and sell signals based on the strength of open interest, providing traders with a comprehensive interface to enhance their decision-making process.
Key Features:
Symbol and Timeframe Verification:
The indicator ensures that it is applied to the Bank Nifty index and checks for allowed timeframes (1-minute, 3-minute, 5-minute, or 15-minute). If these conditions are not met, a warning label is displayed, and an alert is triggered to inform the user.
Open Interest Simulation:
A simple moving average (sma) of the closing price serves as a temporary stand-in for the open interest line. This simulation allows users to visualize trends until actual open interest data can be incorporated.
Open Interest Strength Calculation:
The script calculates open interest strength as a normalized value between 0 and 100, based on the highest and lowest values of the simulated open interest line over the last 100 periods. This normalization provides a clearer understanding of market conditions.
Trade Signals:
Buy Signal: Activated when open interest strength surpasses 60, indicating bullish market sentiment.
Sell Signal: Triggered when open interest strength falls below 40, signaling potential bearish conditions.
Alerts are sent out for both buy and sell signals, including details on open interest strength to facilitate informed trading decisions.
Entry, Target, and Stop-Loss Calculation:
The script defines entry points, targets, and stop-loss levels based on the average true range (ATR), establishing a risk-reward ratio of 1:3. This allows traders to manage their risk effectively.
Visual Representation:
Buy and sell signals are visually indicated on the chart with distinct labels ("Buy" and "Sell"). The simulated open interest line and Bank Nifty price are plotted for easy reference, allowing traders to quickly assess market conditions.
Dynamic Tables:
The indicator features three dynamic tables:
Open Interest Strength Meter: Displays the current open interest strength, trade signals, entry prices, and option details (strike price, target price, stop-loss).
Open Interest Power Description: Offers qualitative descriptions based on open interest strength to assist traders in their decision-making process.
Important Notes: Highlights key strategies associated with various open interest levels.
How to Use:
Ensure the indicator is set to the Bank Nifty index and one of the specified timeframes.
Monitor alerts for buy and sell signals.
Review the dynamic tables for insights into open interest strength and associated trading strategies.
Limitations:
Currently, the script simulates open interest using the sma of the closing price. For enhanced accuracy, users are encouraged to replace this with actual open interest data as it becomes available.
Stef's Dollar Volume CounterStef's Dollar Volume Counter is my second script that I've worked on and coded. I am proud of this script because it does something very, very important: it counts the AMOUNT of money traded, not just the amount shares/contracts traded. This is key for understanding where the big and small money is.
This script is totally different from other Volume scripts because it shows the amount of money traded, NOT the shares/contracts/coins etc. Also, more importantly, it is different from other volume indicators in the same space because this script is specifically focused on showcasing specific dollar volume amounts either as a table or as a label.
Here are the 5 key features you can utilize with this:
1. Customizable Gradient Colors for BIG money and SMALL money: Visually distinguishes between high and low dollar volumes. Change the colors as needed in the indicator settings menu.
2. Dollar Volume Counter Table: Positioned at the bottom right of the chart, this table provides quick insights into the highest, lowest, and average dollar volumes over a specified period. You can customize the time period in the settings menu.
3. "Wow! Much Money!" Labels: Highlights the top three recent highest dollar volumes within the visible chart area, emphasizing significant trading periods. Also, it's hilarious :)
4. Customize the period for volume analysis, ranging from 1 to 12 months or more, with the selected timeframe displayed in the table.
5. It opens as a new pane below the chart so that you can still analyze price and more, as needed.
Thanks for reading! I look forward to hearing your feedback. This script will be updated to expand on more concepts and I'll add some cool features soon.
Advanced Technical Range and Expectancy Estimator [SS]Hello everyone,
This indicator is a from of momentum based probability modelling. It is derived from my own approaches to probability modelling but just simplified a bit.
How it works:
The indicator looks at various technical, including stochastics, RSI, MFI and Z-Score, to determine the likely sentiment. All of these, with the exception of Z-Score, are momentum based indicators and can alert us to likely sentiment. However, instead of us making the subjective determination ourselves as to whether the RSI or MFI or Stochastics are bullish, the indicator will look at previous instances of these occurrences, and tally the bullish and bearish follow throughs that happened. It will also calculate the average target price that was hit, under similar conditions, on the same timeframe.
The Z-Score is your "tie breaker". It is not a momentum based indicator and measures something a little different (the standard deviation and over-extension of the stock). For this reason, it provides an alternative assessment and tends to be a bit more reliable in times of low momentum.
Back-test Results:
The indicator back-tests itself over the previous 100 candles. I have limited it to 100 candles for pragmatic considerations (it has to back-test each technical individually and increasing the BT length will slow and potentially error out the indicator) as well as accuracy considerations.
One thing I have noticed in my years of trying to crack the code and develop probability models for tickers, is historical accuracy doesn't always matter because sentiment is always changing. You need to see what it has done over the most recent 100 to 200 candles.
There are two back-test windows, one for the price targets and the other for the sentiment accuracy. The most effective/most accurate will highlight green, the least effective/least accurate will highlight red:
In the image above, you can see that the most accurate predictor of sentiment is Z-Score, with a 90.32% accuracy rate over the past 100 candles.
The most accurate predictor of price is MFI, with a 60% (for bull targets) and 42% (for bear targets)accuracy rate.
Anchoring Points:
The indicator permits you to anchor by two points. The default setting is anchoring by previous candle. If you plan to use this as an oscillator, to see the current prediction for the current candle you are viewing, then you will need to leave this default setting. It will pull the data from the previous candle and give you the data for the current candle you are on.
If you are assess the likely sentiment for the next day after the day has closed off, you will want to anchor by current candle. This will take the current technicals that the day has closed off with and run the assessment for you.
Customizability
You can customize the technicals by source and length of assessment.
They are all defaulted to the traditional settings of these indicators, but if you want to customize your model to try and improve or enhance accuracy in one way or another, you are free and able to do so!
I do suggest leaving the defaults as they seem to work particular well :-).
Thresholds
Thresholds are the tolerance levels that we permit for our technical search range. If you want them to be exactly identical, then you can set it to 0. If you want it to be extremely similar, you can set it to 0.01. This will hone in on the ranges you are interest in and you can see how it affects your accuracy by reviewing the results in the back-test tables.
Keep Static Colour Option
I want to make a quick note on the "Keep Static Colour" option that is in your settings menu.
The primary table that shows you the probability and price targets change colours based on the accuracy of the assessment. This is so, if you are using a mobile device or smaller screen and can't have the back-test results open at the same time, you can see still which are the most reliable results. However, if you have the back-test tables open and you find these colour changes too distracted, you can toggle on the "Keep Static Colour" and it will resort the colour of the table to a solid white:
Show Technicals
The indicator can show you the current technical values if you are using it in place of an oscillator. Its less pivotal as its making the assessment for you, but just for your reference if you want to see what the current MFI, Z-Score or Stochastics etc. are, you have that option as well.
All Timeframes Permitted
You can view Weekly, Monthly, Hourly, 5 minute, 1 minute, its all supported!
That's the indicator in a nutshell.
Hope you enjoy and leave your questions below.
Safe trades everyone!
Supertrend Forecast - vanAmsenHello everyone!
I am thrilled to present the "vanAmsen - Supertrend Forecast", an advanced tool that marries the simplicity of the Supertrend with comprehensive statistical insights.
Before we dive into the functionalities of this indicator, it's essential to understand its foundation and theory.
The Theory:
What exactly is the Supertrend?
The Supertrend, at its core, is a momentum oscillator. It's a tool that provides buy and sell signals based on the prevailing market trend. The underlying principle is straightforward: by analyzing average price data and volatility over a period, the Supertrend gives us a line that represents the trend direction.
However, trading isn't just about identifying trends; it's about understanding their strength, potential profitability, and historical accuracy. This is where statistics come into play. By incorporating statistical analysis into the Supertrend, we can gain deeper insights into the market's behavior.
Description:
The "vanAmsen - Supertrend Forecast" isn't just another Supertrend indicator. It's a comprehensive tool designed to offer traders a holistic view of market trends, backed by robust statistical analysis.
Key Features:
- Supertrend Line: A visual representation of the current market direction.
- Win Rate & Expected Return: Delve into the historical accuracy and profitability of the prevailing trend.
- Average Percentage Change: Understand the average price fluctuation for both winning and losing trends.
- Forecast Lines: Project future price movements based on historical data, providing a roadmap for potential scenarios.
- Interactive Table: A concise table in the top right, offering a snapshot of all vital metrics at a glance.
Usage:
- The bullish Supertrend line adopts an Aqua hue, indicating potential upward momentum.
- In contrast, the bearish line is painted in Orange, suggesting potential downtrends.
- Customize your chart by toggling labels, tables, and lines according to preference.
Recommendation:
The "vanAmsen - Supertrend Forecast" is undoubtedly a powerful tool in a trader's arsenal. However, it's imperative to combine it with other technical analysis tools and sound risk management practices. It's always prudent to backtest strategies with historical data before embarking on live trading.
Time Series Model IndicatorHello,
I am releasing this time series modelling indicator.
Brief overview of the indicator's functionality:
The Time Series Model indicator is a technical analysis tool that calculates and visualizes a linear regression line based on historical price data. It assesses the trend direction and provides an outer band around the regression line to indicate potential support and resistance levels. The indicator also detects outliers in the price data and calculates correlations between the time variable and the closing price. It offers various customization options such as input length, user-defined hours in advance, display settings for tables and fills, and the ability to show variable correlations. Overall, this indicator aims to help traders identify trends, potential reversals, and price extremes in a given time series.
Specific Functions:
Slope Calculations: The indicator calculates the slope and intercept of the regression line using the specified length of assessment (user defined). It also computes the residuals, standard error of the regression, and the upper and lower bounds of the standard error region. Additionally, it calculates multiple standard deviation bands around the regression line. The slope will change to green if the stock is in an uptrend and to red if the stock is in a downtrend.
Outliers: This feature detects extreme positive and negative outliers based on the z-score calculated from the price data. It highlights the outliers with a red background color to red if this option is selected.
Correlation to Time Assessments: This feature performs trend assessments based on the correlation between time and price data. It identifies uptrends, downtrends, falling trends, rising trends, etc.
Outerband Plots: This feature plots the regression line, standard error bands, and multiple standard deviation bands around the regression line. It also fills the areas between these lines.
Trend Assessment: This feature further assesses the trend based on the strength of the correlation. It identifies strong up or down trends, moderate trends, weak trends, no trend, etc.
Linear Regression Time Data: This section retrieves price data (close, high, low, open) for the specified timeframe and stores them in arrays for a linear regression analysis.
Define LinReg Variables: This section calculates linear regression lines and their upper and lower control limits for the close, low and high prices. It also calculates the correlation between close price and time.
Manual assessments: This feature allows for the manual assessment of time series data. The user can input a look forward for hours in the future and get the predicted price range based on the current time relationship. See image below:
Calculating model "fit": The indicator will display the amount of time the stock closes within and outside its respective bands to ascertain the degree of "fit" (see image below):
Explanations:
The outer cloud: The outer, tealish green cloud represents the regression line + 1.5 standard deviations from the regression line.
The inner cloud: The inner, white coloured cloud represents the immediate time series range calculated through regression of the open, high and low price of the ticker.
Correlations:
The ability of the indicator to calculate correlations on both the smaller and larger timeframes are its strongest feature. You can see the formation of trends by tracking the correlation over the length of the time series model's assessment. You can also track the degree of change. The image below shows the correlation table:
In this image, we can see that the stock is in a moderate downtrend manifested by a correlation of -0.73 (purple arrow).
This downtrend is weakening as manifested by a positive change of 0.05 on the shorter timeframe.
If we scroll down on the table and see the Close, High and Low, we can see that the larger trend over time is a downtrend and that this downtrend is actually strengthening. We know this by the negative change (negative change = significant inverse relationship to time is increasing. i.e. as time increases, the stock price decreases proportionately).
So what does negative correlation to time mean?
If a stock's price exhibits a negative correlation to time, it implies that there is a systematic relationship between the passage of time and the stock's price movement in the opposite direction. This finding could have several potential implications for traders and investors. Firstly, it suggests that the stock's price tends to decrease as time progresses, indicating a downward trend or bearish sentiment. This information might be useful for traders looking to capitalize on short-selling or hedging strategies. Secondly, it could indicate a potential opportunity to predict future price movements based on the timing of negative correlations. By understanding the relationship between time and price, investors may be able to make more informed decisions about when to buy or sell the stock. Lastly, a negative correlation to time may also suggest the influence of external factors or market conditions that systematically impact the stock's performance over time. Therefore, monitoring this correlation can provide insights into broader market dynamics and help investors better understand the stock's behavior.
What about a positive correlation to time?
If a stock's price demonstrates a positive correlation to time, it means that there is a consistent relationship between the passage of time and the stock's price movement in the same direction. This positive correlation to time can have significant implications for traders and investors. Firstly, it indicates a potential upward trend or bullish sentiment, suggesting that the stock's price tends to increase as time progresses. This information can be valuable for investors seeking long-term growth opportunities or looking to capitalize on upward price movements. Secondly, a positive correlation to time may provide insights into the stock's historical performance patterns and help identify potential buying or selling opportunities based on the timing of positive correlations. Additionally, understanding this correlation can aid in assessing the stock's overall trajectory and identifying potential market trends. It's important to note that positive correlation to time does not guarantee future performance, but it can offer valuable information to inform investment decisions.
Because this indicator is pretty big, I have done an overview and tutorial video which I will link below:
As always, please leave your comments and suggestions below.
I thank you for taking the time to read and check out this indicator.
Safe trades everyone and enjoy your weekend!
intraday_bondsStatistics for assisting with intraday bond trading, using five minute periods and one hour ranges. There are two tables, a volatility table and a correlation table. The correlation table shows the correlation of five minute returns (absolute) between the four different bond contracts that trade on the CME. The volatility table shows for each contract:
- The current realized volatility, based on the previous one hour of realized volatility. This figure is annualized for easy comparison with options contracts.
- The current realized volatility's z-score, based on all available data.
- The tick range of an "N" standard deviation move over one hour. Choose "N" using the stdevs input.
- The previous hour's true range (high - low).
The ranges are expressed in ticks.
Tick Data DetailedHello All,
After Tick Chart and Tick Chart RSI scripts, this is Tick Data Detailed script. Like other tick scrips this one only works on real-time bars too. it creates two tables: the table at the right shows the detailed data for Current Bar and the table at the left shows the detailed data for all calculated bars (cumulative). the script checks the volume on each tick and add the tick and volume to the specified level (you can set/change levels)
The volume is multiplied by close price to calculate real volume .There are 7 levels/zones and the default levels are:
0 - 10.000
10.000 - 20.000
20.000 - 50.000
50.000 - 100.000
100.000 - 200.000
200.000 - 400.000
> 400.000
With this info, you will get number of ticks and total volumes on each levels. The idea to separate this levels is in order to know which type of traders trade at that moment. for example volume of whale moves are probably greater than 400.000 or at least 100.000. Or volume of small traders is less than 10.000 or between 20.000-50.000.
You will get info if there is anomaly on each candle as well. what is anomaly definition? Current candle is green but Sell volume is greater than Buy volume or current candle is red but Buy volume is greater than Sell volume . it is shown as (!). you should think/search why/how this anomaly occurs. You can see screenshot about it below.
also "TOTAL" text color changes automatically. if Buy volume is greater than Sell volume then its color becomes Green, if Sell volume is greater than Buy volume then its color becomes Red (or any color you set)
Optionally you can change background and text colors as shown in the example below.
Explanation:
How anomaly is shown:
You can enable coloring background and set the colors as you wish:
And Thanks to @Duyck for letting me use the special characters from his great script.
Enjoy!
MTF Trend Analyzer + Option SignalThis Pine Script indicator, titled "MTF Trend Analyzer + Option Signal", is a comprehensive multi-timeframe trend analysis tool designed for TradingView to assist traders in identifying market trends and generating potential option trade signals. It overlays the chart and provides visual labels, a detailed trend table, and option strike suggestions based on trend conditions.
Detailed Description for Publishing on TradingView
Overview
The MTF Trend Analyzer + Option Signal indicator is designed to help traders make informed decisions by analyzing trend strength and direction across the current and a higher timeframe using Exponential Moving Averages (EMAs) and the Average Directional Index (ADX). Alongside trend analysis, it generates actionable option signals (Call or Put options) for instruments like NIFTY or BANKNIFTY by suggesting strikes based on the current trend and user input.
Key Features
- Multi-Timeframe Trend Analysis: Compares trend indicators on both the current chart’s timeframe and a user-selected higher timeframe to confirm trend direction and strength.
- Trend Identification Using EMAs and ADX:
- Calculates fast and slow EMA crossovers.
- Uses ADX to determine trend strength (with values above 20 indicating strong trends).
- Visual Labels for Trend Changes:
- Displays "BUY" or "SELL" labels on the chart when the trend shifts, based on EMA and ADX conditions.
- Option Trade Signal Suggestions:
- Based on the identified trend and option action type (Buy or Sell), suggests corresponding Call or Put option strike prices.
- Strike prices are calculated dynamically using the current price and user-defined strike gap (e.g., 50 for NIFTY, 100 for BANKNIFTY).
- Trend Score: A cumulative score from 0 to 100 reflecting the alignment of EMA and ADX conditions across both timeframes, helping quantify trend reliability.
- Trend Summary Table: A dynamic table positioned on the chart displaying key metrics including EMA values, ADX values, trend direction, score, and option signals for quick reference.
Inputs
- Fast EMA Length: Length for the fast EMA used to detect short-term trend signals (default 20).
- Slow EMA Length: Length for the slow EMA used as a baseline trend filter (default 50).
- ADX Length: Length for the ADX calculation to assess trend strength (default 14).
- Show Trend Table: Toggle to display or hide the trend summary table on the chart.
- Higher Timeframe for Confirmation: The timeframe used for higher timeframe validation (default 60 minutes).
- Option Action: Choose the desired option trading action: "Buy" or "Sell".
- Strike Gap: Defines the interval between option strikes, e.g., 50 for NIFTY or 100 for BANKNIFTY.
How It Works
1. Current Timeframe Calculations: The indicator computes EMAs and ADX on the current chart timeframe to identify short-term trends.
2. Higher Timeframe Validation: It concurrently fetches corresponding values on the selected higher timeframe to confirm trend strength and direction.
3. Trend Determination:
- A BUY trend is confirmed when:
- Fast EMA > Slow EMA on both timeframes.
- ADX > 20 on both timeframes (signifying strong trend).
- A SELL trend occurs when:
- Fast EMA < Slow EMA on both timeframes.
- ADX > 20 on both timeframes.
- Any other condition results in a NEUTRAL trend.
4. Trend Score: Adds points (25 each) for each condition met (fast EMA relation and ADX threshold on both timeframes), totaling up to 100 points.
5. Trend Change Labels: When the trend shifts from previous bars, a label ("BUY" in green or "SELL" in red) is plotted to visually alert traders.
6. Option Strike Suggestions: The indicator rounds the current price to the nearest strike based on strike gap and suggests buying or selling Calls/Puts aligned with the trend and user's option action preference.
7. Trend Table: Displays a comprehensive snapshot of EMA and ADX values on both timeframes, the detected trend, trend score, and option signal for easy monitoring.
Practical Usage
- Trend Confirmation: Use the combined signals from current and higher timeframes to avoid false signals during choppy or sideways markets.
- Option Trading Guidance: The option strike recommendations ease decision-making for options traders by suggesting actionable strikes aligned with the trend.
- Visual Alerts: The labels and table provide quick, on-chart updates without requiring constant monitoring of multiple indicators.
- Customization: Adapt the EMA lengths, ADX window, higher timeframe, and strike gap as per specific market instruments or trading style.
Who Should Use This Indicator?
- Swing and intraday traders seeking robust trend validation across multiple timeframes.
- Options traders looking for timely strike price signals based on technical conditions.
- Traders who prefer a visual and quantitative summary of trend behavior over manual analysis.
- Market participants trading indices or stocks with available options, especially in markets similar to NIFTY or BANKNIFTY.
Summary
The MTF Trend Analyzer + Option Signal is an all-in-one tool for comprehensive trend analysis and options trade signal generation. Its multi-timeframe approach combined with EMA and ADX indicators delivers reliable trend direction and strength insights. The dynamic visual labels, scoring mechanism, and detailed trend table empower traders to make informed market entries and option strike selections effectively.
This script is a powerful yet user-friendly assistant for improving timing and precision in trading decisions, making it an invaluable addition to TradingView’s indicator library.
If needed, customisation or integration support is available upon request.
Sources
Bills Advanced Market Sessions V5Bill007 Advanced Enhanced Market Sessions & Table V5 is a TradingView Pine Script indicator that
visualizes major stock market sessions and data for (Tokyo, London, New York, Sydney, Frankfurt) on charts.
**Purpose and Logic:**
- Visual Displays include session boxes, open/close/average lines, labels for session
names/metrics (ticks, avg price, volume), and trend labels (UP/Down/Neutral with % change)
and a Debug table.
- Uses custom types (SessionDisplay, SessionInfo) and methods to create/update sessions
dynamically, handling multi-part sessions (e.g., Tokyo breaks).
- Batch updates sessions for efficiency, checks timezones, weekdays, and daily changes to avoid
duplicates.
- Includes tables for session times/status/countdowns and debug metrics (tick range, average
price, volume, trend %, open, close).
- Supports 25 timezones for accurate global session timing.
- All labels have dynamaic tooltips that provide extra outputs which saves chart clutter
- Realtime lastbar session updates for current session
**Settings:**
- Select Market Sessions to suit
- Toggles for lines, ranges, averages, volumes, labels, boxes, weekends.
- Customizable colors, timezones, session times, thresholds for neutral trends, label offsets to
move labels around for clearer visuals.
- Table position/timezone, debug options.
- Timezone select to update Session times open close according to what time zone you're in
**Benefits:**
- Enhanced session data at a glance
- Enhances multi-market awareness, highlights session overlaps, trends, and key metrics.
- Aids timing entries/exits, volume analysis, reduces clutter with toggles.
- Supports global trading strategies with accurate timezone handling and visuals.
Order Block Matrix [Alpha Extract]The Order Block Matrix indicator identifies and visualizes key supply and demand zones on your chart, helping traders recognize potential reversal points and high-probability trading setups.
This tool helps traders:
Visualize key order blocks with volume profile histograms showing liquidity distribution.
Identify high-volume price levels where institutional activity occurs.
rank historical order blocks and analyze their strength based on volume.
Receive alerts for potential trading opportunities based on price-block interactions.
🔶 CALCULATION
The indicator processes chart data to identify and analyze order blocks:
Order Block Detection
Inputs:
Price action patterns (consolidation areas followed by breakouts).
Volume data from current and lower timeframes.
User-defined lookback periods and thresholds.
Detection Logic:
Identifies consolidation areas using a dynamic range comparison.
Confirms breakout patterns with percentage threshold validation.
Maps volume distribution across price levels within each order block.
🔶Volume Analysis
Volume Profiling:
Divides each order block into configurable grid segments.
Maps volume distribution across price segments within blocks.
Highlights zones with highest volume concentration.
Strength Assessment:
Calculates total block volume and relative strength metrics.
Compares block volume to historical averages.
Determines probability of reversal based on volume patterns.
isConsolidation(len) =>
high_range = ta.highest(high, len) - ta.lowest(high, len)
low_range = ta.highest(low, len) - ta.lowest(low, len)
avg_range = (high_range + low_range) / 2
current_range = high - low
current_range <= avg_range * (1 + obThreshold)
🔶 DETAILS
Visual Features
Volume Profile Histograms:
Color-coded bars showing volume concentration within order blocks.
Gradient coloring based on relative volume (high volume = brighter colors).
Bull blocks (green/teal) and bear blocks (red) with varying opacity.
Block Visualization:
Dynamic box sizing based on volume concentration.
Optional block borders and background fills.
Volume labels showing total block volume.
Screener Table:
Real-time analysis of order block metrics.
Shows block direction, proximity, retest count, and volume metrics.
Color-coded for quick reference.
Interpretation
High Volume Areas: Zones with institutional interest and potential reversal points.
Block Direction: Bullish blocks typically support price, bearish blocks typically resist price.
Retests: Multiple tests of an order block may strengthen or weaken its influence.
Block Age: Newer blocks often have stronger influence than older ones.
Volume Concentration: Brightest segments within blocks represent the highest volume areas.
🔶 EXAMPLES
The indicator helps identify key trading opportunities:
Bullish Order Blocks
Support Zones: Identify strong support levels where price is likely to bounce.
Breakout Confirmation: Validate breakouts with volume analysis to avoid false moves.
Retest Strategies: Enter trades when price retests a bullish order block with high volume.
Bearish Order Blocks
Resistance Zones: Identify strong resistance levels where price is likely to reverse.
Distribution Areas: Detect zones where smart money is distributing to retail.
Short Opportunities: Find optimal short entry points at high-volume bearish blocks.
Combined Strategies
Order Block Stacking: Multiple aligned blocks create stronger support/resistance zones.
Block Mitigation: When price breaks through a block, it often indicates a strong trend continuation.
Volume Profile Applications: Higher volume segments provide more precise entry and exit points.
🔶 SETTINGS
Customization Options
Order Block Detection:
Consolidation Lookback: Adjust the period for consolidation detection.
Breakout Threshold: Set minimum percentage for breakout confirmation.
Historical Lookback Limit: Control how far back to scan for historical order blocks.
Maximum Order Blocks: Limit the number of visible blocks on the chart.
Visual Style:
Grid Segments: Adjust the number of volume profile segments.
Extend Blocks to Right: Enable/disable extending blocks to current price.
Show Block Borders: Toggle border visibility.
Border Width: Adjust thickness of block borders.
Show Volume Text: Enable/disable volume labels.
Volume Text Position: Control placement of volume labels.
Color Settings:
Bullish High/Low Volume Colors: Customize appearance of bullish blocks.
Bearish High/Low Volume Colors: Customize appearance of bearish blocks.
Border Color: Set color for block outlines.
Background Fill: Adjust color and transparency of block backgrounds.
Volume Text Color: Customize label appearance.
Screener Table:
Show Screener Table: Toggle table visibility.
Table Position: Select positioning on the chart.
Table Size: Adjust display size.
The Order Block Matrix indicator provides traders with powerful insights into market structure, helping to identify key levels where smart money is active and where high-probability trading opportunities may exist.
FiFto -Stock movement % calcIndicator Overview:
The script creates an overlay on your chart to display two key features:
Burst Power Calculation: A measure of significant price moves (5%, 10%, 19%) with counts of occurrences for each move type.
SL/Target Info: Displays stop-loss (SL) quantities and target percentages based on your risk parameters.
These features are displayed in a customizable table and offer real-time data for analysis.
Inputs:
Burst Power Inputs:
Lookback Period: Specifies the timeframe to calculate price moves for. You can choose from options like "3 Months", "6 Months", "1 Year", etc.
Display Mode: You can choose to display the table in "Full" mode (showing all relevant data) or "Mini" mode (showing only basic information).
Show Latest Date: Toggles whether the table includes a column showing the date of the latest move.
Dark Mode: Switches the colors of the table between light and dark modes for better visibility.
Closing Threshold: Defines how close the closing price must be to the high of the bar to consider it valid for analysis.
Table Settings:
Table Size: Allows you to select the table size from options like "small", "normal", "large", etc.
Table Position: Lets you choose where the table is positioned on the screen (top, middle, or bottom of the chart).
Table Font Size: Adjusts the font size of the text in the table (small, normal, or large).
Disable Table Colors: If true, the table will not use colors for cells, giving a more neutral appearance.
SL/Target Settings:
Show SL/Target Info: Whether to include Stop-Loss and Target information in the table.
Risk Amount: The monetary value you're willing to risk on a trade. This is used to calculate the stop-loss quantity.
SL Percentage: The percentage below the entry point at which the stop-loss will be triggered.
Target Percentage: The percentage above the entry point at which the target will be set.
Style Settings:
These settings define the appearance of the table, including colors and fonts. The table will adjust based on your color preferences (dark mode or light mode), with options for customizing background colors, text colors, and border styles.
Burst Power Calculation:
This part of the script calculates the Burst Power value based on price movements and updates the table with:
Counts of Price Moves:
5% or more
10% or more
19% or more
Burst Power Value: A weighted value calculated by summing the counts of each price move, with different weights for each move type:
5% moves contribute 1/5
10% moves contribute 1/2
19% moves contribute 1/0.5
Max Price Move: Tracks the maximum price move (and its timestamp) for the current period.
Logic:
For each bar, it checks if the price moved by 5%, 10%, or 19% or more, and updates the respective count and date of the last occurrence of each price move.
It calculates a "Burst Power" value based on the occurrences of these price moves and assigns a color to indicate how strong the burst power is.
Stop-Loss (SL) and Target Calculation:
This part calculates the quantity of the asset you can purchase based on your risk amount and stop-loss percentage:
One-Hour High: Tracks the highest price over the past hour (using 60-minute candles).
Target Price: Sets a target price based on the daily close and the target percentage input.
SL Quantity: The amount of the asset you can risk given the stop-loss points and your risk amount.
Target Percent Remaining: Shows how much of your target is left to reach, based on the one-hour high price.
Table Display Logic:
This is the most important part of the indicator because it determines how the data is displayed on the chart in a table. Here's a breakdown:
Column and Row Setup:
Based on the display mode (Full or Mini), it adjusts the number of rows and columns in the table.
The columns display the types of data (e.g., "Max%", "05% +", "Burst Power", etc.), while the rows show the values of those parameters.
If "Show Latest Date" is enabled, an additional column will show the date of the last occurrence for each price move.
Burst Power and SL/Target Info:
The table displays the following information:
Max % Move: The largest price move observed.
Burst Power: A score indicating the strength of the price move (calculated from 5%, 10%, and 19% price moves).
SL Quantity: The quantity you can trade based on your risk and stop-loss.
Target % Left: The remaining percentage to reach the target price.
The table updates whenever the barstate is the last and the selected timeframe is active.
Table Position:
The table position is adjustable based on the inputs (top, middle, bottom), allowing you to control where the table appears on the screen.
Changes Made for Timeframe Flexibility:
The table and all its calculations previously only displayed when the chart was in a daily timeframe (timeframe.isdaily). This behavior has been removed.
No Timeframe Dependency: The table now displays regardless of which timeframe you are viewing. If you switch to another timeframe (e.g., 15-minute, 1-hour), the table will still appear without needing to be modified. The table will display in all timeframes you choose.
How to Use:
Install the Script: Add this script to your chart in TradingView as a custom indicator.
Customize Settings: Use the inputs in the settings panel to adjust your preferred values for lookback period, risk amount, SL percentage, target percentage, and other table display options.
Analyze the Data: Watch the table update with real-time data as you analyze price movements. The table will show the frequency and magnitude of price bursts, along with risk and target data to help you make better trading decisions.
ZenAlgo - SessionsZenAlgo - Sessions is a robust TradingView indicator designed to analyze and visualize global trading sessions (Asian, European, and US). By combining session-specific price levels, volume and delta tracking, and historical performance metrics, it delivers actionable insights for session-based trading strategies, simplifying decision-making in dynamic markets.
Features
Session Highlighting: Distinguishes trading sessions with customizable colors for easy identification.
Session Levels: Dynamically calculates and projects five key levels (0%, 25%, 50%, 75%, 100%) to identify support and resistance zones.
Volume and Delta Tracking: Tracks session-specific total volume, inflows, outflows, and delta to assess market sentiment.
Interactive Performance Table: Summarizes recent session metrics, including win/loss percentages, volume, and delta, enabling trend analysis.
Historical Analysis: Retains session performance data for up to 100 sessions, providing insights into long-term trends.
Dynamic Range Projection: Extends session levels into subsequent sessions, maintaining market context.
Customizable Time Zones: Adapts session tracking to any trading environment.
Added Value: Why Is This Indicator Original/Why Shall You Pay for This Indicator?
1. Synergy Between Indicators
Session Levels: Highlight key market zones that guide entry/exit points.
Volume and Delta Metrics: Clarify price action at these levels by identifying buyer/seller dominance.
Performance Metrics: Aggregate historical session data, helping traders identify recurring patterns, sentiment shifts, and session-specific tendencies.
Together, these features amplify one another, creating actionable insights that exceed the value of standalone tools.
2. Comparison to Freely Available Indicators
Traditional indicators like Bollinger Bands, RSI, or Moving Averages operate on broad price action trends. ZenAlgo - Sessions focuses on session-specific patterns, volume dynamics, and real-time updates, delivering more context-specific insights.
By consolidating multiple functionalities into one tool, it eliminates the need for multiple separate indicators, streamlining analysis.
3. Why Pay for This Indicator?
Comprehensive Insights: Delivers session-specific metrics unavailable in standalone tools.
Real-Time Updates: Ensures metrics and levels reflect the latest market movements.
Seamless Integration: Combines price action, volume, and historical performance into a single, intuitive interface.
How It Works
1. Session Detection
Defines sessions for Asia, Europe, and the US based on fixed opening and closing times. Time zones ensure compatibility with global markets, excluding weekends and holidays for relevance.
2. Price Levels
Calculates five levels (0%, 25%, 50%, 75%, 100%) based on session high and low, projecting these into subsequent sessions for continued analysis.
3. Volume and Delta Metrics
Tracks session volume, separating inflows and outflows based on price movements.
Calculates delta to gauge net buying/selling activity.
4. Performance Metrics
Tracks win/loss rates and percentage changes across sessions.
Stores session metrics (volume, delta, win/loss) for up to 100 sessions.
5. Dynamic Visualization
Continuously updates session levels and metrics in real time for actionable insights.
Usage Examples
Support/Resistance Levels: Use session levels, especially the 50% midline, as potential pivot points for trades.
Breakout Analysis: Monitor price action beyond session highs or lows to confirm breakouts.
Volume Trends: Compare session volumes to identify high-activity periods.
Delta Shifts: Assess delta changes to determine market sentiment at key levels.
Session Comparison: Identify which session drives significant activity using the performance table.
Multi-Session Strategies: Plan trades based on extended session levels to anticipate reactions at previously tested zones.
Settings
Asia Session Color: Adjust the highlight color for the Asian session.
Europe Session Color: Customize the color for the European session.
US Session Color: Define the color for the US session.
Time Zone: Set the time zone for session tracking.
Line Transparency: Adjust session line opacity.
Number of Sessions for Total Count: Define how many sessions to analyze in the performance table.
Important Notes
This indicator is a technical analysis tool and does not guarantee trading success. Use it alongside other indicators and fundamental analysis for a comprehensive trading strategy.
Combine with Other Tools: Use complementary indicators such as RSI, Bollinger Bands, or ATR to filter out unreliable signals and improve accuracy.
Known Weaknesses and Mitigation Strategies
1. Extreme Volatility
Issue: During sudden, significant price movements (e.g., news-driven events), session levels and delta metrics may become less reliable as the market temporarily disregards historical patterns.
Mitigation: Combine ZenAlgo - Sessions with volatility indicators like ATR (Average True Range) or a news alert system to adjust expectations during these periods.
2. Low Liquidity Periods
Issue: During holidays or outside peak trading hours, session metrics may misrepresent actual market activity due to reduced participant involvement.
Mitigation: Focus on sessions with higher activity (e.g., overlapping US and European sessions) to ensure more accurate insights.
3. Non-Standard Trading Hours
Issue: Market-specific differences, such as extended hours or daylight saving adjustments, can misalign session boundaries.
Mitigation: Verify session times align with your market and adjust settings accordingly.
4. Historical Data Dependencies
Issue: Historical metrics rely on consistent session patterns; deviations (e.g., extended or shortened sessions) can impact trend accuracy.
Mitigation: Regularly review and interpret historical data alongside real-time metrics to ensure alignment.
StockInfo ManualScript Description:
The StockInfo Manual is designed to display detailed stock information directly on the chart for the selected symbol. It processes user-provided input data, including
stock symbols
Industries
Relative Strength (RS) values
Band information
Key Features:
1. Symbol-Specific Data Display: Displays information only for the current chart symbol.
2. Customizable Table: Adjust the table's position, text size, colors, and headers to match your preferences.
3. Low RS/Band Conditions: Highlights critical metrics (RS < 50 or Band < 6) with a red background for quick visual cues.
4. Toggle Information: Choose to show or hide RS, Band, and Industry columns based on your needs.
How to Use the Script:
1. Use any platform (ex: chartsmaze) to get Industry,RS and Band information of any Stock. Prepare the data as separate column of excel
2. Configure Inputs:
- Stock Symbols (`Stock`): Enter a comma-separated list of stock symbols (e.g.,
NSE:ABDL,
NSE:ABFRL,
NSE:ABREL,
NSE:ABSLAMC,
NSE:ACC,
NSE:ACE,
- Industries (`Industry`): Provide a comma-separated list of industries for the stocks (e.g., 103-Brewerie,
109-Retail-D,
92-Paper & ,
19-Asset Ma,
62-Cement,
58-Industri,
- Relative Strength (`RS`): Input RS values for each stock (e.g.,
83,
52,
51,
81,
23,
59,
- Band Information (`Band`): Specify Band values for each stock. Use "No Band" if 10,
No Band,
20,
20,
No Band,
20,
3. Customize the Table:
-Display Options: Toggle the visibility of `RS`, `Band`, and `Industry` using the input checkboxes.
-Position and Appearance: Choose the table's position on the chart (e.g., top-right, bottom-center). Customize text size, background colors, header display, and other visual elements.
4. Interpret the Table:
- The table will dynamically display information for the current chart symbol only.
- If the `RS` is below 50 or the Band is below 6, the corresponding row is highlighted with a red background for immediate attention.
One need to enter details at least weekly for a correct result
OBV Divergence Indicator [TradingFinder] On-Balance Vol Reversal🔵 Introduction
The On-Balance Volume (OBV) indicator, introduced by Joe Granville in 1963, is a powerful technical analysis tool used to measure buying and selling pressure based on trading volume and price.
By aggregating trading volume—adding it on positive days and subtracting it on negative days—OBV creates a cumulative line that reflects market volume pressure, making it valuable for confirming trends, identifying entry and exit points, and forecasting potential price movements.
Divergences between price and OBV often provide significant signals. A bearish divergence occurs when the price forms higher highs while the OBV line forms lower highs. This discrepancy indicates that upward momentum is weakening, increasing the likelihood of a downward trend.
In contrast, a bullish divergence happens when the price makes lower lows, but the OBV line forms higher lows. This suggests increasing buying pressure and the potential for an upward trend reversal.
For instance, if the price is rising but the OBV trendline is falling, it may signal a bearish divergence, warning of a possible price decline. Conversely, if the price is falling while the OBV line is rising, this could signal a bullish divergence, indicating a possible price recovery. These signals are particularly useful for identifying market turning points.
OBV often acts as a leading indicator, moving ahead of price changes. For example, a rising OBV alongside stable or declining prices can signal an impending upward breakout.
Conversely, a declining OBV with rising prices may indicate that the current uptrend is losing strength. Traders using this strategy often consider entering positions at breakout levels while setting stop losses near recent swing highs or lows to manage risk effectively.
This integration highlights how OBV divergences can provide actionable insights for predicting price movements and managing trades efficiently.
Bullish Divergence :
Bearish Divergence :
🔵 How to Use
The OBV indicator, as a cumulative tool, assists analysts in comparing volume and price changes to identify new trends and key levels for entering or exiting trades. Beyond confirming existing trends, it is particularly effective in analyzing positive and negative divergences between price and volume, providing valuable signals for trading decisions.
🟣 Bullish Divergence
A bullish divergence occurs when the price continues its downward or stable trend, but the OBV line starts rising, forming a higher low compared to its previous low. This suggests increasing volume on up days relative to down days and often signals a reversal to the upside.
For instance, if an asset's price stabilizes near a support level but the OBV line shows an upward trend, this divergence could present an opportunity to enter a long position.
🟣 Bearish Divergence
A bearish divergence occurs when the price forms higher highs, but the OBV line declines, creating lower highs compared to previous peaks. This indicates decreasing volume on up days relative to down days and often acts as a warning for a reversal to the downside.
For example, if an asset’s price approaches a resistance level while OBV starts declining, this divergence may signal the beginning of a downtrend and could indicate a good time to exit long trades or enter short positions.
🔵 Setting
Period : The "Period" setting allows you to define the number of bars or intervals for "Periodic" and "EMA" modes. A shorter period captures more short-term movements, while a longer period smooths out the fluctuations and provides a broader view of market trends.
You can enable or disable labels to highlight key levels or divergences and tables to show numerical details like values and divergence types. These options allow for a customized chart display.
🔵 Table
The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator.
Exist : If divergence is detected, a "+" will appear in this row.
Consecutive: Shows the number of consecutive divergences that have formed in a short period.
Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong."
Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table.
🔵 Conclusion
The OBV (On Balance Volume) indicator is a simple yet effective tool in technical analysis that combines volume and price changes to provide a comprehensive view of market buying and selling pressure. By identifying positive and negative divergences, OBV enables analysts to detect early signs of trend reversals and refine their trading strategies.
Divergences in OBV often precede price changes, making it a leading indicator for predicting market movements. Using OBV alongside other technical tools can enhance decision-making accuracy and help traders identify better entry and exit points. However, it is essential to consider the limitations of OBV, such as the potential for signal errors and the impact of sudden news events.
Ultimately, OBV serves as a complementary tool in technical analysis, aiding in trend identification, signal confirmation, and risk management. A thoughtful application of this indicator, in combination with other analytical tools, can create valuable opportunities for profiting in financial markets.