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 :-)
Educational
Weekly Levels Prep (Smart Weekly Candle)This script draws key weekly levels based on the most recent completed weekly candle (Monday–Friday). It automatically calculates and plots:
✅ Weekly High & Low
✅ Midpoint (50% level)
✅ Extension levels above and below
All levels are dynamically updated every new week and are visually marked with clean color-coded horizontal lines. Price values are shown near the price axis for clear visibility across all timeframes.
Great for:
Weekly preparation
Swing trading setups
Mean reversion and range breakouts
🔄 Works on all timeframes
🔍 Lightweight and non-intrusive
Built by a trader, for traders. 💼📈
19 hours ago
Release Notes
📊 Weekly Levels Prep (Smart Weekly Candle)
This indicator highlights key weekly levels to help you prepare for the upcoming trading week with clarity and structure.
✅ Features:
Draws the most recent completed weekly candle's High, Low, Mid (50%), and two extension levels (Top & Down).
Adds a second set of levels (dotted gray lines) from the previous week's candle, helping you track historical reactions.
All levels are clearly labeled and positioned dynamically to stay readable.
New York trading session is visually highlighted with optional background shading and label.
Perfect for swing traders, intraday setups, and weekly analysis.
Adapted for any timeframe and includes weekend logic for accurate preparation.
Daily & Weekly BoxesThis indicator draws colored boxes to highlight key trading ranges:
DAILY BOXES
Shows price range (high/low) for each trading day (Mon-Fri).
Adjusts for market close at 5 PM ET
Custom colors for each weekday.
WEEKLY BOXES
Displays previous week's trading range.
Helps identify support/resistance levels.
[nikosign] label stylesWhen displaying the label style sheet on a one-minute chart, 20 different label samples will be shown.
Z-Score Normalized VIX StrategyThis strategy leverages the concept of the Z-score applied to multiple VIX-based volatility indices, specifically designed to capture market reversals based on the normalization of volatility. The strategy takes advantage of VIX-related indicators to measure extreme levels of market fear or greed and adjusts its position accordingly.
1. Overview of the Z-Score Methodology
The Z-score is a statistical measure that describes the position of a value relative to the mean of a distribution in terms of standard deviations. In this strategy, the Z-score is calculated for various volatility indices to assess how far their values are from their historical averages, thus normalizing volatility levels. The Z-score is calculated as follows:
Z = \frac{X - \mu}{\sigma}
Where:
• X is the current value of the volatility index.
• \mu is the mean of the index over a specified period.
• \sigma is the standard deviation of the index over the same period.
This measure tells us how many standard deviations the current value of the index is away from its average, indicating whether the market is experiencing unusually high or low volatility (fear or calm).
2. VIX Indices Used in the Strategy
The strategy utilizes four commonly referenced volatility indices:
• VIX (CBOE Volatility Index): Measures the market’s expectations of 30-day volatility based on S&P 500 options.
• VIX3M (3-Month VIX): Reflects expectations of volatility over the next three months.
• VIX9D (9-Day VIX): Reflects shorter-term volatility expectations.
• VVIX (VIX of VIX): Measures the volatility of the VIX itself, indicating the level of uncertainty in the volatility index.
These indices provide a comprehensive view of the current volatility landscape across different time horizons.
3. Strategy Logic
The strategy follows a long entry condition and an exit condition based on the combined Z-score of the selected volatility indices:
• Long Entry Condition: The strategy enters a long position when the combined Z-score of the selected VIX indices falls below a user-defined threshold, indicating an abnormally low level of volatility (suggesting a potential market bottom and a bullish reversal). The threshold is set as a negative value (e.g., -1), where a more negative Z-score implies greater deviation below the mean.
• Exit Condition: The strategy exits the long position when the combined Z-score exceeds the threshold (i.e., when the market volatility increases above the threshold, indicating a shift in market sentiment and reduced likelihood of continued upward momentum).
4. User Inputs
• Z-Score Lookback Period: The user can adjust the lookback period for calculating the Z-score (e.g., 6 periods).
• Z-Score Threshold: A customizable threshold value to define when the market has reached an extreme volatility level, triggering entries and exits.
The strategy also allows users to select which VIX indices to use, with checkboxes to enable or disable each index in the calculation of the combined Z-score.
5. Trade Execution Parameters
• Initial Capital: The strategy assumes an initial capital of $20,000.
• Pyramiding: The strategy does not allow pyramiding (multiple positions in the same direction).
• Commission and Slippage: The commission is set at $0.05 per contract, and slippage is set at 1 tick.
6. Statistical Basis of the Z-Score Approach
The Z-score methodology is a standard technique in statistics and finance, commonly used in risk management and for identifying outliers or unusual events. According to Dumas, Fleming, and Whaley (1998), volatility indices like the VIX serve as a useful proxy for market sentiment, particularly during periods of high uncertainty. By calculating the Z-score, we normalize volatility and quantify the degree to which the current volatility deviates from historical norms, allowing for systematic entry and exit based on these deviations.
7. Implications of the Strategy
This strategy aims to exploit market conditions where volatility has deviated significantly from its historical mean. When the Z-score falls below the threshold, it suggests that the market has become excessively calm, potentially indicating an overreaction to past market events. Entering long positions under such conditions could capture market reversals as fear subsides and volatility normalizes. Conversely, when the Z-score rises above the threshold, it signals increased volatility, which could be indicative of a bearish shift in the market, prompting an exit from the position.
By applying this Z-score normalized approach, the strategy seeks to achieve more consistent entry and exit points by reducing reliance on subjective interpretation of market conditions.
8. Scientific Sources
• Dumas, B., Fleming, J., & Whaley, R. (1998). “Implied Volatility Functions: Empirical Tests”. The Journal of Finance, 53(6), 2059-2106. This paper discusses the use of volatility indices and their empirical behavior, providing context for volatility-based strategies.
• Black, F., & Scholes, M. (1973). “The Pricing of Options and Corporate Liabilities”. Journal of Political Economy, 81(3), 637-654. The original Black-Scholes model, which forms the basis for many volatility-related strategies.
Custom % Drop from HighInvest long term on market, SP500, Nasdaq100. It's a drop down and buy dip opportunity. adjust the dip percentage
ORB - Futures and Stocks (Breakouts + Alerts + ORB Selector)This indicator shows the Opening Range Breakout (ORB) based on the time range you choose.
Important:
It only works for intraday trading on time frames less than 1 day (like 1-minute, 5-minute, or hourly charts).
You can use it with any stock or futures, such as US500, NAS100, or GER40.
Inputs:
ORB Range - Your preference.
Session Start
Time Zone Offset
Examples:
for EU Frankfurt, DAX (GER40):
Set your ORB range
Session Start 0900
Time Zone Offset +1
For US Stock Market and US500, NAS100:
Set your ORB range
Session Start 0930
Time Zone Offset -5
Created using ChatGPT
Days Live CounterThis quite simply tracks how many days an asset has been on Trading View for.
The indicator calculates the day count based on the timestamp of the first visible bar in your current chart view. Since monthly charts generally load data from further back in time than daily or intraday charts, they'll show a larger day count.
This isn't a bug in the indicator - it's correctly counting the days from the first bar it can see in each timeframe.
Z-Score Normalized Volatility IndicesVolatility is one of the most important measures in financial markets, reflecting the extent of variation in asset prices over time. It is commonly viewed as a risk indicator, with higher volatility signifying greater uncertainty and potential for price swings, which can affect investment decisions. Understanding volatility and its dynamics is crucial for risk management and forecasting in both traditional and alternative asset classes.
Z-Score Normalization in Volatility Analysis
The Z-score is a statistical tool that quantifies how many standard deviations a given data point is from the mean of the dataset. It is calculated as:
Z = \frac{X - \mu}{\sigma}
Where X is the value of the data point, \mu is the mean of the dataset, and \sigma is the standard deviation of the dataset. In the context of volatility indices, the Z-score allows for the normalization of these values, enabling their comparison regardless of the original scale. This is particularly useful when analyzing volatility across multiple assets or asset classes.
This script utilizes the Z-score to normalize various volatility indices:
1. VIX (CBOE Volatility Index): A widely used indicator that measures the implied volatility of S&P 500 options. It is considered a barometer of market fear and uncertainty (Whaley, 2000).
2. VIX3M: Represents the 3-month implied volatility of the S&P 500 options, providing insight into medium-term volatility expectations.
3. VIX9D: The implied volatility for a 9-day S&P 500 options contract, which reflects short-term volatility expectations.
4. VVIX: The volatility of the VIX itself, which measures the uncertainty in the expectations of future volatility.
5. VXN: The Nasdaq-100 volatility index, representing implied volatility in the Nasdaq-100 options.
6. RVX: The Russell 2000 volatility index, tracking the implied volatility of options on the Russell 2000 Index.
7. VXD: Volatility for the Dow Jones Industrial Average.
8. MOVE: The implied volatility index for U.S. Treasury bonds, offering insight into expectations for interest rate volatility.
9. BVIX: Volatility of Bitcoin options, a useful indicator for understanding the risk in the cryptocurrency market.
10. GVZ: Volatility index for gold futures, reflecting the risk perception of gold prices.
11. OVX: Measures implied volatility for crude oil futures.
Volatility Clustering and Z-Score
The concept of volatility clustering—where high volatility tends to be followed by more high volatility—is well documented in financial literature. This phenomenon is fundamental in volatility modeling and highlights the persistence of periods of heightened market uncertainty (Bollerslev, 1986).
Moreover, studies by Andersen et al. (2012) explore how implied volatility indices, like the VIX, serve as predictors for future realized volatility, underlining the relationship between expected volatility and actual market behavior. The Z-score normalization process helps in making volatility data comparable across different asset classes, enabling more effective decision-making in volatility-based strategies.
Applications in Trading and Risk Management
By using Z-score normalization, traders can more easily assess deviations from the mean in volatility, helping to identify periods when volatility is unusually high or low. This can be used to adjust risk exposure or to implement volatility-based trading strategies, such as mean reversion strategies. Research suggests that volatility mean-reversion is a reliable pattern that can be exploited for profit (Christensen & Prabhala, 1998).
References:
• Andersen, T. G., Bollerslev, T., Diebold, F. X., & Vega, C. (2012). Realized volatility and correlation dynamics: A long-run approach. Journal of Financial Economics, 104(3), 385-406.
• Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
• Christensen, B. J., & Prabhala, N. R. (1998). The relation between implied and realized volatility. Journal of Financial Economics, 50(2), 125-150.
• Whaley, R. E. (2000). Derivatives on market volatility and the VIX index. Journal of Derivatives, 8(1), 71-84.
Option Contract Size CalculatorOption Contract Size Calculator
This indicator helps you to figure out the ideal number of contracts for your trade and its only used for options day trading.
The indicator needs to fill the input section in order to give you the information table that includes Contract size .
The input section consists of two sections. The first section requires user entry of the delta of the options contract from the broker chain and the stop loss size on the chart.
The second section allows you to enter your account balance and risk per trade
(2% recommended) .
There is also the option for where you wish to display your table like bottom right , bottom left or top right, top left.
special thanks to @Mohamedawke for the open source script this code is based off
Reddington Vip
#### Name: Reddington Vip
#### Type: Strategy
---
### Description
"Reddington Vip" is a multifunctional trading strategy that integrates multiple technical indicators and concepts for market analysis and automated trading. It combines MACD with price forecasting, support/resistance levels based on Higher High/Lower Low, an adaptive trend channel, Smart Money Concepts, automatic Fibonacci levels, and a LazyScalp dashboard for assessing volatility and correlation.
**Key Features:**
- **Trading Signals:** Enters long and short positions based on false breakouts of support/resistance levels, filtered by MACD, RSI, and volume.
- **Indicators:** MACD, RSI, EMA (30, 50, 200), ATR, adaptive trend channel with Pearson correlation, Fibonacci levels, and Smart Money (BoS/CHoCH).
- **Visualization:** Displays areas of interest (AOE), order blocks, High/Low levels, price forecasts, and an informational dashboard.
- **Flexibility:** Customizable parameters for all components, including indicator periods, colors, sensitivity, and alert thresholds.
This strategy suits traders who prefer an automated approach with visual support and false signal filtering.
---
### How to Use
1. **Adding to Chart:**
- Copy the code into the Pine Script editor in TradingView.
- Click "Add to Chart" to apply the strategy.
2. **Configuring Parameters:**
- Access strategy settings (right-click → "Settings").
- Adjust key parameters:
- **MACD:** Fast, slow, and signal periods.
- **Support/Resistance:** Sensitivity (Left/Right Bars).
- **Stop Loss:** Loss percentage for position closure.
- **LazyScalp Board:** Volume and NATR thresholds for alerts.
- **Smart Money:** Enable internal/external structures (BoS/CHoCH).
3. **Trading:**
- **Long:** Triggered by a false breakout above support (price closes above after dipping below), confirmed by MACD (> signal), RSI (> 40), and volume (> SMA 20).
- **Short:** Triggered by a false breakout below resistance (price closes below after rising above), with MACD (< signal), RSI (< 60), and volume (> SMA 20).
- Opposite positions auto-close as take-profit.
- Stop-loss activates at the specified loss percentage.
4. **Setting Alerts:**
- In the "Alerts" menu, select "Reddington Vip" and configure conditions:
- "Buy Signal" — for Long entry.
- "Sell Signal" — for Short entry.
- "Take Profit" and "Stop Loss" — for position management.
- Choose notification method (email, SMS, webhook, etc.).
5. **Market Analysis:**
- Use visual elements (trend channel, Fibonacci levels, Smart Money) to confirm signals.
- Monitor the LazyScalp Board for market activity (volume, NATR, correlation).
---
### Settings
- **MACD:** Fast (12), Slow (26), Signal (9) — trend and forecast settings.
- **Forecast:** Max memory (50), forecast length (100), percentiles (80/50/20).
- **Twin Range Filter:** Fast (27, 1.6) and slow (55, 2.0) periods.
- **Higher High/Lower Low:** Left (3) and right (4) bars for levels.
- **LazyScalp:** Volume thresholds ($100M/$3M), NATR (1%), table position.
- **Auto Fibs:** Sensitivity (25), selectable levels (0.236–0.786).
- **Smart Money:** Internal (3) and external (25) structure sensitivity.
- **Channel:** Deviation multiplier (2.0), line style, and transparency.
- **Stop Loss:** Loss percentage (25%).
---
### Disclaimer
- This strategy is provided for educational and testing purposes only. Trading in financial markets carries a high risk of capital loss.
- Test the strategy on historical data using TradingView’s "Strategy Tester" before live trading.
- The author is not responsible for any financial losses resulting from the use of this script.
---
### Author’s Notes
"Reddington Vip" is a powerful tool for technical analysis and automated trading. Customize the settings to match your trading style and leverage visual cues to enhance signal accuracy. Feel free to share feedback or suggestions in the comments!
---
This version is concise, adheres to TradingView guidelines, and excludes the code snippet while retaining all essential details. Let me know if you'd like further adjustments!
Bitcoin Global Liquidity OverlayThis overlay shows the relationship between global liquidity and BTC. Future versions will project the data into the future.
Circuit Breaker - MFFUThis Indicator Is Used To Protect User From Over Trading After Market Hit The Circuit Breakers.
The CME Exchange Usually Halts Trading If Market Hit + or - 7%.
To Protect Users From Extreme Volatile Condition MFFU, Halts Trading If Market Hits + or - 5%.
This Indicator helps us to plot the circuit breaking lines helping us to when to stop trading.
EMA5 vs EMA13 Crossover (1D)1dklık ema5 vs ema13 crossover deneme bununla 1 dk lık al sat verısı ıncelıyorum
Head Hunter HHHead Hunter HH - Advanced Market Structure & Reversal Indicator
A powerful tool designed to identify high-probability reversal points and market maker moves. This indicator combines multiple technical factors to spot potential trading opportunities.
Features:
• Vector Candle Detection - Identifies potential market maker moves
• Multiple Signal Types:
- Regular reversals (White/Purple triangles)
- Super strong moves (Green/Red diamonds)
- Scalp opportunities (Orange diamonds)
• Key Level Analysis:
- Previous day high/low
- Daily open/close
- VWAP with 1σ and 2σ bands
• Volume analysis and RSI confirmation
• 50 SMA trend filter
Setup Guide:
1. Apply to any timeframe (works best on 5m-1h charts)
2. Default settings are optimized but can be adjusted:
- Wick Size Ratio: 0.2 (detection sensitivity)
- Volume Multiplier: 1.2 (volume confirmation)
- RSI settings: 14/65/35 (momentum confirmation)
Signal Types:
🔺 White Triangle: Regular bullish reversal
🔻 Purple Triangle: Regular bearish reversal
💎 Green Diamond: Super strong bullish move
💎 Red Diamond: Super strong bearish move
🔸 Orange Diamond: Scalp opportunity
Best Practices:
• Wait for signal confirmation with volume
• Use multiple timeframe analysis
• Consider key level confluence
• Monitor RSI for momentum confirmation
• Use proper risk management
Note: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management.
Version: 2.0.5
#technical #reversal #volume #vwap #marketstructure #trading
Weekly Levels Prep (Smart Weekly Candle)This script draws key weekly levels based on the most recent completed weekly candle (Monday–Friday). It automatically calculates and plots:
✅ Weekly High & Low
✅ Midpoint (50% level)
✅ Extension levels above and below
All levels are dynamically updated every new week and are visually marked with clean color-coded horizontal lines. Price values are shown near the price axis for clear visibility across all timeframes.
Great for:
Weekly preparation
Swing trading setups
Mean reversion and range breakouts
🔄 Works on all timeframes
🔍 Lightweight and non-intrusive
Built by a trader, for traders. 💼📈
19 hours ago
Release Notes
📊 Weekly Levels Prep (Smart Weekly Candle)
This indicator highlights key weekly levels to help you prepare for the upcoming trading week with clarity and structure.
✅ Features:
Draws the most recent completed weekly candle's High, Low, Mid (50%), and two extension levels (Top & Down).
Adds a second set of levels (dotted gray lines) from the previous week's candle, helping you track historical reactions.
All levels are clearly labeled and positioned dynamically to stay readable.
New York trading session is visually highlighted with optional background shading and label.
Perfect for swing traders, intraday setups, and weekly analysis.
Adapted for any timeframe and includes weekend logic for accurate preparation.
BUY_SELL📊 Indicators Used:
trendScore: Measures trend by calculating EMA of low - hlcc4 .
signalLine: SMA of the trendScore.
📈 Buy Signal Condition:
trendScore > signalLine
10 bars ago, trendScore was below the signal line
trendScore < negGood (i.e., not too strong yet)
📋 What It Does:
Checks 40 selected symbols.
If buy conditions are met, it displays the symbol in a green-colored table.
On the main chart, it adds a "BUY" label and a green line at the signal point.
Z3N EMA + Candles + LinesIndicator crafted by traders for traders, this tool serves as the guide of your 15-minute chart. It enables you to scalp trades hourly while effectively managing risk and generating profits in the market.
NQ/MNQ Futures Delta+ with Price Action EntriesNQ/MNQ Futures Delta+ with Price Action Entries
Description: This TradingView indicator combines Futures Delta analysis with advanced price action techniques to provide an enhanced trading strategy for the NQ/MNQ futures market. The script analyzes the market using a variety of methods including Delta, volume analysis, and candlestick patterns, while also incorporating price action factors like support/resistance levels and breakouts to offer more refined buy and sell signals.
Key Features:
Delta Analysis:
The Delta calculation tracks the difference between buying and selling pressure within each market bar. The indicator calculates delta based on different modes (Classic, Volume Based, Tick Based), and then applies cumulative delta for trend analysis.
The Cumulative Delta is calculated using one of the three available modes:
Total: Tracks the cumulative delta over time.
Periodic: Measures delta over a defined period (user-configurable).
EMA: Applies an Exponential Moving Average to smooth the delta values.
Volume Confirmation:
The script includes volume analysis to confirm price movements. A volume spike is used to validate buy/sell signals, ensuring that price movements are supported by significant trading volume.
Price Action-Based Entries:
Support and Resistance: Dynamic support and resistance levels are calculated based on the lowest low and highest high of the last 20 bars. These levels are used to identify breakout points, providing context for potential buy/sell entries.
Candlestick Patterns: The script recognizes Bullish Engulfing and Bearish Engulfing candlestick patterns. These patterns signal potential reversals in price direction and are used to confirm trade entries.
Breakout Logic: Buy signals are triggered when the price breaks above resistance, and sell signals are triggered when the price breaks below support, providing high-probability entry points during trend reversals or continuations.
Moving Average Trend Confirmation:
The script uses two moving averages:
9-period Exponential Moving Average (EMA): Short-term trend indicator.
21-period Exponential Moving Average (EMA): Longer-term trend indicator.
Trades are only considered in the direction of the prevailing trend:
A bullish signal is confirmed if the price is above both EMAs.
A bearish signal is confirmed if the price is below both EMAs.
Buy/Sell Signal Triggers:
Buy Signal: A buy signal is triggered when:
A bullish divergence is confirmed with volume support.
A bullish engulfing candlestick pattern forms.
The price breaks above resistance.
The price is above both the 9 EMA and 21 EMA, indicating an uptrend.
Sell Signal: A sell signal is triggered when:
A bearish divergence is confirmed with volume support.
A bearish engulfing candlestick pattern forms.
The price breaks below support.
The price is below both the 9 EMA and 21 EMA, indicating a downtrend.
Visualization:
Delta Candles: The cumulative delta is plotted as a candlestick on the chart, with green and red coloring to show buying or selling dominance.
Support and Resistance Levels: Support and resistance zones are plotted to show key levels where price action may react.
Moving Averages: The 9 EMA and 21 EMA are plotted to show short-term and long-term trend direction.
Signal Markers: Buy and sell signals are marked on the chart with green triangles (buy) and red triangles (sell) for easy visualization of trade opportunities.
Alerts:
Alerts can be set up for buy and sell signals, enabling you to be notified when the script identifies potential trade opportunities based on Delta analysis, volume confirmation, and price action.
How to Use This Script:
Market: This script is optimized for NQ and MNQ futures contracts but can be adapted for other markets as well.
Signal Interpretation: Use the buy and sell signals for trend-following or counter-trend trades. These signals are particularly useful for 1-minute or 5-minute charts but can be adjusted to fit other timeframes.
Support/Resistance: Pay close attention to the dynamic support and resistance levels, as these are key price action points where significant price movements can occur.
Trend Confirmation: Ensure that trades are aligned with the overall trend confirmed by the 9 EMA and 21 EMA. The script prioritizes signals that align with the broader market trend.
Breakouts: Use the breakout logic to catch price moves when the market breaks key support or resistance levels. These can often lead to strong moves in the direction of the breakout.
Institutional Directional Bias v2 (Csd)🎯 Institutional Directional Bias v2 (CSD)
Visual Clarity. Institutional Precision. Your Bias, Confirmed.
The Institutional Directional Bias v2 (CSD) is an advanced TradingView overlay built to give SMC and IPDA traders a crystal-clear view of directional bias — with full customization to fit your style and strategy.
Designed to work seamlessly with your charting workflow, this tool highlights institutional bias with adjustable visuals so you can stay aligned with the algorithm without clutter or confusion.
Why It Matters:
Without a clear directional bias, traders often second-guess entries and exit too soon. This indicator removes the guesswork by visually anchoring your session to institutional intent — giving you more confidence, clarity, and conviction in every trade.🔍 Key Features:
✅ Institutional Bias Zones automatically plotted for clean direction tracking
🎨 Full Color Customization – match it to your theme or session colors
📏 Multiple Size Options – choose the visual size that works best for your setup
🔁 Works across all timeframes
⚙️ Built for IPDA, SMC, and Time & Price Frameworks
