BGL - Bitcoin Global Liquidity Indicator [Da_Prof]This indicator takes global liquidity and shifts it forward by a set number of days. It can be used for any asset, but it is by default set for Bitcoin (BTC). The shift forward allows potential future prediction of BTC trends, especially uptrends. While not perfect, the current shift of 72 days seems to be best for the current cycle.
Sixteen currencies are used to calculate global liquidity.
Forecasting
Heiken Ashi Color Change Alert - Low VolitilityDescription for Heiken Ashi Color Change Alert with Dynamic Thresholds
This script is designed to alert traders to color changes in Heiken Ashi candles with a dynamic threshold that adapts based on market volatility. It provides clear visual markers (triangle shapes) on the chart whenever the color of the Heiken Ashi candles changes from bullish to bearish or bearish to bullish, with adjustable settings that allow for greater customization across different market conditions.
Key Features:
Heiken Ashi Color Change Detection: The script detects when Heiken Ashi candles shift from bullish to bearish (green to red) or bearish to bullish (red to green). These changes in color can help traders identify potential trend reversals or market shifts.
Dynamic Threshold: The threshold for detecting a color change is dynamically adjusted based on the current market volatility, measured by the ATR (Average True Range). This helps filter out noise and reduces the chance of false signals.
Low Volatility Mode: Ideal for small-timeframe charts (like 1-minute or 5-minute). The threshold for detecting color changes is set to 1% of the candle's range.
Medium Volatility Mode: Suited for 1-hour to 4-hour charts, where a more balanced approach with a 5% threshold is applied.
High Volatility Mode: Best used for daily or weekly charts, with an 8% threshold to capture larger, more significant price movements.
Customizable Alerts: The script provides built-in alerts for both green-to-red and red-to-green color changes, allowing traders to stay on top of potential market reversals or trend shifts.
Volume Filtering: Volume conditions are applied to help validate the signals, making the alerts more reliable when there is sufficient market interest behind the price action.
Cleaner Visuals: The script uses small triangle shapes for the color change markers, ensuring that the chart remains clean and easy to interpret. You can adjust the size of the triangles to suit your preference.
How to Use:
1. Select Your Timeframe: Choose the timeframe that suits your trading strategy (from low to high timeframes).
2. Adjust the Threshold: For highly volatile markets, use a higher threshold (e.g., 8% for daily/weekly charts). For low volatility (fast-moving markets like 1m/5m), use a lower threshold (e.g., 1%).
3. Set Alerts: Enable alerts for color changes to stay updated when the market experiences a trend reversal.
4. Interpret the Signals: When a red triangle appears, it indicates a bearish reversal, and when a green triangle appears, it signals a bullish reversal.
5. This indicator is useful for traders who rely on Heiken Ashi candles to identify trend changes and would like to automate the detection of these changes with a dynamic and customizable approach to volatility. By adjusting the threshold and volume filter, you can tailor the indicator to your preferred trading style and market conditions.
Disclaimer:
While this script provides helpful visual cues, traders should always use this indicator in conjunction with other tools or analysis methods to make informed trading decisions. This script is not financial advice.
[AWC] Vector -AYNETThis Pine Script code is a custom indicator designed for TradingView. Its purpose is to visualize the opening and closing prices of a specific timeframe (e.g., weekly, daily, or monthly) by drawing lines between these price points whenever a new bar forms in the specified timeframe. Below is a detailed explanation from a scientific perspective:
1. Input Parameters
The code includes user-defined inputs to customize its functionality:
tf1: This input defines the timeframe (e.g., 'W' for weekly, 'D' for daily). It determines the periodicity for analyzing price data.
icol: This input specifies the color of the lines drawn on the chart. Users can select from predefined options such as black, red, or blue.
2. Color Assignment
A switch statement maps the user’s color selection (icol) to the corresponding color object in Pine Script. This mapping ensures that the drawn lines adhere to the user's preference.
3. New Bar Detection
The script uses the ta.change(time(tf1)) function to determine when a new bar forms in the specified timeframe (tf1):
ta.change checks if the timestamp of the current bar differs from the previous one within the selected timeframe.
If the value changes, it indicates that a new bar has formed, and further calculations are triggered.
4. Data Request
The script employs request.security to fetch price data from the specified timeframe:
o1: Retrieves the opening price of the previous bar.
c1: Calculates the average price (high, low, close) of the previous bar using the hlc3 formula.
These values represent the key price levels for visualizing the line.
5. Line Drawing
When a new bar is detected:
The script uses line.new to create a line connecting the previous bar's opening price (o1) and the closing price (c1).
The line’s properties are defined as follows:
x1, y1: The starting point corresponds to the opening price at the previous bar index.
x2, y2: The endpoint corresponds to the closing price at the current bar index.
color: Uses the user-defined color (col).
style: The line style is set to line.style_arrow_right.
Additionally, the lines are stored in an array (lines) for later reference, enabling potential modifications or deletions.
6. Visual Outcome
The script visually represents price movements over the specified timeframe:
Each line connects the opening and closing price of a completed bar in the given timeframe.
The lines are drawn dynamically, updating whenever a new bar forms.
Scientific Context
This script applies concepts of time series analysis and visualization in financial data:
Time Segmentation: By isolating specific timeframes (e.g., weekly), the script provides a focused analysis of price behavior.
Price Dynamics: Connecting opening and closing prices highlights key price transitions within each period.
User Customization: The inclusion of inputs allows for adaptable use, accommodating different analytical preferences.
Applications
Trend Analysis: Identifies how price evolves between opening and closing levels across periods.
Market Behavior Comparison: Facilitates the observation of patterns or anomalies in price transitions over time.
Technical Indicators: Serves as a supplementary tool for decision-making in trading strategies.
If further enhancements or customizations are needed, let me know! 😊
Heiken Ashi Color Change Alert- Medium VolitilityHeiken Ashi Color Change Alert with Dynamic Thresholds
This script alerts traders to color changes in Heiken Ashi candles with a dynamic threshold that adjusts based on market volatility. The script provides clear visual markers (triangle shapes) on the chart whenever the Heiken Ashi candles change from bullish to bearish (green to red) or bearish to bullish (red to green). The threshold can be customized to better fit different market conditions.
Key Features:
-Heiken Ashi Color Change Detection: Detects when Heiken Ashi candles shift from bullish to bearish (green to red) or bearish to bullish (red to green), helping traders identify potential trend reversals or market shifts.
-Dynamic Threshold: The threshold for detecting color changes is adjusted based on the current market volatility, measured by the Average True Range (ATR). This reduces false signals and filters out noise.
-Low Volatility Mode: For small-timeframe charts (e.g., 1-minute or 5-minute), with a 1% threshold.
-Medium Volatility Mode: For 1-hour to 4-hour charts, with a 5% threshold.
-High Volatility Mode: For daily or weekly charts, with an 8% threshold.
-Customizable Alerts: Built-in alerts for green-to-red and red-to-green color changes, so traders can be notified of potential market reversals or trend shifts.
-Volume Filtering: Volume conditions are applied to validate the signals, helping ensure that the alerts are backed by sufficient market interest.
-Cleaner Visuals: The script uses small triangle markers for the color change signals, keeping the chart clean and easy to read. You can also adjust the size of the triangles to your preference.
How to Use:
1. Choose Timeframe: Select the timeframe that fits your trading strategy (low or high timeframes).
2. Adjust Threshold: For highly volatile markets, use a higher threshold (e.g., 8% for daily/weekly charts). For low volatility (e.g., 1m/5m charts), use a lower threshold (e.g., 1%).
3. Enable Alerts: Set alerts for color changes to be notified when trend reversals occur.
4. Interpret Signals: A red triangle indicates a bearish reversal, while a green triangle indicates a bullish reversal.
5. This indicator is useful for traders using Heiken Ashi candles who want to automate the detection of trend changes with a dynamic approach to volatility. Adjust the threshold and volume filter to suit your trading style and market conditions.
Disclaimer: This script provides visual cues for trend reversals and should be used in conjunction with other tools or analysis methods. It is not financial advice.
Heiken Ashi Color Change Alert- High VolitilityHeiken Ashi Color Change Alert with Dynamic Thresholds
This script alerts traders to color changes in Heiken Ashi candles with a dynamic threshold that adjusts based on market volatility. The script provides clear visual markers (triangle shapes) on the chart whenever the Heiken Ashi candles change from bullish to bearish (green to red) or bearish to bullish (red to green). The threshold can be customized to better fit different market conditions.
Key Features:
-Heiken Ashi Color Change Detection: Detects when Heiken Ashi candles shift from bullish to bearish (green to red) or bearish to bullish (red to green), helping traders identify potential trend reversals or market shifts.
-Dynamic Threshold: The threshold for detecting color changes is adjusted based on the current market volatility, measured by the Average True Range (ATR). This reduces false signals and filters out noise.
-Low Volatility Mode: For small-timeframe charts (e.g., 1-minute or 5-minute), with a 1% threshold.
-Medium Volatility Mode: For 1-hour to 4-hour charts, with a 5% threshold.
-High Volatility Mode: For daily or weekly charts, with an 8% threshold.
-Customizable Alerts: Built-in alerts for green-to-red and red-to-green color changes, so traders can be notified of potential market reversals or trend shifts.
-Volume Filtering: Volume conditions are applied to validate the signals, helping ensure that the alerts are backed by sufficient market interest.
-Cleaner Visuals: The script uses small triangle markers for the color change signals, keeping the chart clean and easy to read. You can also adjust the size of the triangles to your preference.
How to Use:
1. Choose Timeframe: Select the timeframe that fits your trading strategy (low or high timeframes).
2. Adjust Threshold: For highly volatile markets, use a higher threshold (e.g., 8% for daily/weekly charts). For low volatility (e.g., 1m/5m charts), use a lower threshold (e.g., 1%).
3. Enable Alerts: Set alerts for color changes to be notified when trend reversals occur.
4. Interpret Signals: A red triangle indicates a bearish reversal, while a green triangle indicates a bullish reversal.
5. This indicator is useful for traders using Heiken Ashi candles who want to automate the detection of trend changes with a dynamic approach to volatility. Adjust the threshold and volume filter to suit your trading style and market conditions.
Disclaimer: This script provides visual cues for trend reversals and should be used in conjunction with other tools or analysis methods. It is not financial advice.
Straddle Charts - Live
Description :
This indicator is designed to display live prices for both call and put options of a straddle strategy, helping traders visualize the real-time performance of their options positions. The indicator allows users to select the symbols for specific call and put options and fetches their prices on a 1-minute timeframe, ensuring updated information.
Key Features :
Live Call and Put Option Prices: View individual prices for both call and put options of the straddle, plotted separately.
Straddle Price Calculation: The total price of the straddle (sum of call and put) is displayed, allowing for easy monitoring of the straddle’s combined movement.
Customizable Inputs: Easily change the call and put option symbols directly from the settings.
Use this indicator to stay on top of your straddle's value and make informed trading decisions based on real-time data.
Holt-Winters Forecast BandsDescription:
The Holt-Winters Adaptive Bands indicator combines seasonal trend forecasting with adaptive volatility bands. It uses the Holt-Winters triple exponential smoothing model to project future price trends, while Nadaraya-Watson smoothed bands highlight dynamic support and resistance zones.
This indicator is ideal for traders seeking to predict future price movements and visualize potential market turning points. By focusing on broader seasonal and trend data, it provides insight into both short- and long-term market directions. It’s particularly effective for swing trading and medium-to-long-term trend analysis on timeframes like daily and 4-hour charts, although it can be adjusted for other timeframes.
Key Features:
Holt-Winters Forecast Line: The core of this indicator is the Holt-Winters model, which uses three components — level, trend, and seasonality — to project future prices. This model is widely used for time-series forecasting, and in this script, it provides a dynamic forecast line that predicts where price might move based on historical patterns.
Adaptive Volatility Bands: The shaded areas around the forecast line are based on Nadaraya-Watson smoothing of historical price data. These bands provide a visual representation of potential support and resistance levels, adapting to recent volatility in the market. The bands' fill colors (red for upper and green for lower) allow traders to identify potential reversal zones without cluttering the chart.
Dynamic Confidence Levels: The indicator adapts its forecast based on market volatility, using inputs such as average true range (ATR) and price deviations. This means that in high-volatility conditions, the bands may widen to account for increased price movements, helping traders gauge the current market environment.
How to Use:
Forecasting: Use the forecast line to gain insight into potential future price direction. This line provides a directional bias, helping traders anticipate whether the price may continue along a trend or reverse.
Support and Resistance Zones: The shaded bands act as dynamic support and resistance zones. When price enters the upper (red) band, it may be in an overbought area, while the lower (green) band may indicate oversold conditions. These bands adjust with volatility, so they reflect the current market conditions rather than fixed levels.
Timeframe Recommendations:
This indicator performs best on daily and 4-hour charts due to its reliance on trend and seasonality. It can be used on lower timeframes, but accuracy may vary due to increased price noise.
For traders looking to capture swing trades, the daily and 4-hour timeframes provide a balance of trend stability and signal reliability.
Adjustable Settings:
Alpha, Beta, and Gamma: These settings control the level, trend, and seasonality components of the forecast. Alpha is generally the most sensitive setting for adjusting responsiveness to recent price movements, while Beta and Gamma help fine-tune the trend and seasonal adjustments.
Band Smoothing and Deviation: These settings control the lookback period and width of the volatility bands, allowing users to customize how closely the bands follow price action.
Parameters:
Prediction Length: Sets the length of the forecast, determining how far into the future the prediction line extends.
Season Length: Defines the seasonality cycle. A setting of 14 is typical for bi-weekly cycles, but this can be adjusted based on observed market cycles.
Alpha, Beta, Gamma: These parameters adjust the Holt-Winters model's sensitivity to recent prices, trends, and seasonal patterns.
Band Smoothing: Determines the smoothing applied to the bands, making them either more reactive or smoother.
Ideal Use Cases:
Swing Trading and Trend Following: The Holt-Winters model is particularly suited for capturing larger market trends. Use the forecast line to determine trend direction and the bands to gauge support/resistance levels for potential entries or exits.
Identifying Reversal Zones: The adaptive bands act as dynamic overbought and oversold zones, giving traders potential reversal areas when price reaches these levels.
Important Notes:
No Buy/Sell Signals: This indicator does not produce direct buy or sell signals. It’s intended for visual trend analysis and support/resistance identification, leaving trade decisions to the user.
Not for High-Frequency Trading: Due to the nature of the Holt-Winters model, this indicator is optimized for higher timeframes like the daily and 4-hour charts. It may not be suitable for high-frequency or scalping strategies on very short timeframes.
Adjust for Volatility: If using the indicator on lower timeframes or more volatile assets, consider adjusting the band smoothing and prediction length settings for better responsiveness.
Deshmukh TVWAP (Multi-Timeframe)The TVWAP is an indicator that calculates the average price of an asset over a specified period, but instead of giving equal weight to each price during the period, it gives more weight to the later time periods within the trading session. It is essentially the running average of the price as time progresses.
Time-Weighted Calculation: Each data point (close price) gets a weight based on how much time has passed since the start of the session. The more time that has passed, the more "weight" is given to that price point.
Session-Based Calculation: The TVWAP resets at the start of each trading session (9:15 AM IST) and stops calculating after the session ends (3:30 PM IST). This ensures that the indicator only reflects intraday price movements during the active market hours.
Working of the Indicator in Pine Script
Session Timing:
The session runs from 9:15 AM to 3:30 PM IST, which is the standard market session for the Indian stock market. The script tracks whether the current time is within this session.
At the start of the session, the script resets the calculations.
Time-Weighted Average Price Calculation:
Each time a new price data (close price) comes in, the script adds the closing price to a cumulative sum (cumulativePriceSum).
It also counts how many time intervals (bars) have passed since the session started using cumulativeCount.
The TVWAP value is updated in real-time by dividing the cumulative price sum by the number of bars that have passed (cumulativePriceSum / cumulativeCount).
Buy and Sell Signals:
The TVWAP can act as a dynamic support/resistance level:
Buy Signal: When the price is below the TVWAP line, the script plots a green "Buy" signal below the bar.
Sell Signal: When the price is above the TVWAP line, the script plots a red "Sell" signal above the bar.
The logic behind this is simple: if the price is below TVWAP, it might be undervalued, and if it's above, it could be overvalued, making it a good time to sell.
Plotting TVWAP:
The TVWAP line is plotted in blue on the chart to provide a visual representation of the time-weighted average price throughout the session.
It updates with each price tick, helping traders identify trends or reversals during the day.
Key Components and How They Work
Session Timing (sessionStartTime and sessionEndTime):
These are used to check if the current time is within the trading session. The TVWAP only calculates the average during active market hours (9:15 AM to 3:30 PM IST).
Cumulative Calculation:
The variable cumulativePriceSum accumulates the sum of closing prices during the session.
The variable cumulativeCount counts the number of time periods that have elapsed (bars, or ticks in the case of minute charts).
TVWAP Calculation:
The TVWAP is calculated by dividing the cumulative sum of the closing prices by the cumulative count. This gives a time-weighted average for the price.
Plotting and Signals:
The TVWAP value is plotted as a blue line.
Buy Signals (green) are generated when the price is below the TVWAP line.
Sell Signals (red) are generated when the price is above the TVWAP line.
Use Cases of TVWAP
Intraday Trading: TVWAP is particularly useful for intraday traders because it adjusts in real-time based on the average price movements throughout the session.
Scalping: For scalpers, TVWAP acts as a dynamic reference point for entering or exiting trades. It helps in identifying short-term overbought or oversold conditions.
Trend Confirmation: A rising TVWAP suggests a bullish trend, while a falling TVWAP suggests a bearish trend. Traders can use it to confirm the direction of the trend before taking trades.
Support/Resistance: The TVWAP can also act as a dynamic level of support or resistance. Prices below TVWAP are often considered to be in a support zone, while prices above are considered resistance.
Advantages of TVWAP
Time-Weighted: Unlike traditional moving averages (SMA or EMA), TVWAP focuses on time rather than price or volume, which gives more relevance to later price points in the session.
Adaptability: It can be used across various timeframes, such as 3 minutes, 5 minutes, 15 minutes, etc., making it versatile for both scalping and intraday strategies.
Actionable Signals: With clear buy/sell signals, TVWAP simplifies decision-making for traders and helps reduce noise.
Limitations of TVWAP
Intraday Only: TVWAP is a day-specific indicator, so it resets each session. It cannot be used across multiple sessions (like VWAP).
Doesn't Account for Volume: Unlike VWAP, which accounts for volume, TVWAP only considers time. This means it may not always be as reliable in extremely low or high-volume conditions.
Conclusion
The TVWAP indicator provides a time-weighted view of price action, which is especially useful for traders looking for a more time-sensitive benchmark to track price movements during the trading day. By working across all timeframes and providing actionable buy and sell signals, it offers a dynamic tool for scalping, intraday trading, and trend analysis. The ability to visualize price relative to TVWAP can significantly enhance decision-making, especially in fast-moving markets.
Comprehensive Time Chain Indicator - AYNETFeatures and Enhancements
Dynamic Timeframe Handling:
The script monitors new intervals of a user-defined timeframe (e.g., daily, weekly, monthly).
Flexible interval selection allows skipping intermediate time periods (e.g., every 2 days).
Custom Marker Placement:
Markers can be placed at:
High, Low, or Close prices of the bar.
A custom offset above or below the close price.
Special Highlights:
Automatically detects the start of a week (Monday) and the start of a month.
Highlights these periods with a different marker color.
Connecting Lines:
Markers are connected with lines to visually link the events.
Line properties (color, width) are fully customizable.
Dynamic Labels:
Optional labels display the timestamp of the event, formatted as per user preferences (e.g., yyyy-MM-dd HH:mm).
How It Works:
Timeframe Event Detection:
The is_new_interval flag identifies when a new interval begins in the selected timeframe.
Special flags (is_new_week, is_new_month) detect key calendar periods.
Dynamic Marker Drawing:
Markers are drawn using label.new at the specified price levels.
Colors dynamically adjust based on the type of event (interval vs. special highlight).
Connecting Lines:
The script dynamically connects markers with line.new, creating a time chain.
Previous lines are updated for styling consistency.
Customization Options:
Timeframe (main_timeframe):
Adjust the timeframe for detecting new intervals, such as daily, weekly, or hourly.
Interval (interval):
Skip intermediate events (e.g., draw a marker every 2 days).
Visualization:
Enable or disable markers and labels independently.
Customize colors, line width, and marker positions.
Special Periods:
Highlight the start of a week or month with distinct markers.
Applications:
Event Tracking:
Highlight and connect key time intervals for easier analysis of patterns or trends.
Custom Time Chains:
Visualize periodic data, such as specific trading hours or cycles.
Market Session Analysis:
Highlight market opens, closes, or other critical time-based events.
Usage Instructions:
Copy and paste the code into the Pine Script editor on TradingView.
Adjust the input settings for your desired timeframe, visualization preferences, and special highlights.
Apply the script to a chart to see the time chain visualized.
This implementation provides robust functionality while remaining easy to customize. Let me know if further enhancements are required! 😊
Star of David Drawing-AYNETExplanation of Code
Settings:
centerTime defines the center time for the star pattern, defaulting to January 1, 2023.
centerPrice is the center Y-axis level for positioning the star.
size controls the overall size of the star.
starColor and lineWidth allow customization of the color and thickness of the lines.
Utility Function:
toRadians converts degrees to radians, though it’s not directly used here, it might be useful for future adjustments to angles.
Star of David Drawing Function:
The drawStarOfDavid function calculates the position of each point on the star relative to the center coordinates (centerTime, centerY) and size.
The pattern has six key points that form two overlapping triangles, creating the Star of David pattern.
The time offsets (offset1 and offset2) determine the horizontal spread of the star, scaling according to size.
The line.new function is used to draw the star lines with the calculated coordinates, casting timestamps to int to comply with line.new requirements.
Star Rendering:
Finally, drawStarOfDavid is called to render the Star of David pattern on the chart based on the input parameters.
This code draws the Star of David on a chart at a specified time and price level, with customizable size, color, and line width. Adjust centerTime, centerPrice, and size as needed for different star placements on the chart.
NITIN OCC Strategy with VWAPIt is updated version of occ and gives the buy and sell signals perfectly
Deshmukh TVWAP (Time Weighted Average Price)Deshmukh TVWAP (Time Weighted Average Price)
The Deshmukh TVWAP is a custom Time Weighted Average Price indicator designed for the Indian stock market, including stocks, futures, options, Nifty 50, and Bank Nifty charts. This indicator calculates the average price weighted by time within a specified session period, helping traders identify key price levels during intraday trading.
Key Features:
Calculates TVWAP based on intraday data between user-defined session start and end times (default: 9:15 AM to 3:30 PM).
Provides a dynamic average price level to gauge market trends.
Plots a blue line representing the TVWAP value on the chart.
Generates buy (green label up) and sell (red label down) signals based on price crossover with TVWAP:
Buy Signal: When the current price falls below the TVWAP line, indicating potential upward momentum.
Sell Signal: When the current price rises above the TVWAP line, suggesting possible downward pressure.
How to Use:
Use the TVWAP line as a reference for determining intraday price trends.
Buy signals can be used for scalping or initiating long positions when price trades below TVWAP.
Sell signals can be used for shorting or exiting long trades when price trades above TVWAP.
This indicator is best suited for intraday trading strategies on the Indian market, including equities, futures, and indices.
Recommended Timeframes:
Works best on 1-minute, 5-minute, or 15-minute intraday charts.
RSI-EMA Signal by stock shooter## Strategy Description: 200 EMA Crossover with RSI, Green/Red Candles, Volume, and Exit Conditions
This strategy combines several technical indicators to identify potential long and short entry opportunities in a trading instrument. Here's a breakdown of its components:
1. 200-period Exponential Moving Average (EMA):
* The 200-period EMA acts as a long-term trend indicator.
* The strategy looks for entries when the price is above (long) or below (short) the 200 EMA.
2. Relative Strength Index (RSI):
* The RSI measures the momentum of price movements and helps identify overbought and oversold conditions.
* The strategy looks for entries when the RSI is below 40 (oversold) for long positions and above 60 (overbought) for short positions.
3. Green/Red Candles:
* This indicator filters out potential entries based on the current candle's closing price relative to its opening price.
* The strategy only considers long entries on green candles (closing price higher than opening) and short entries on red candles (closing price lower than opening).
4. Volume:
* This indicator adds a volume filter to the entry conditions.
* The strategy only considers entries when the current candle's volume is higher than the average volume of the previous 20 candles, aiming for stronger signals.
Overall:
This strategy aims to capture long opportunities during potential uptrends and short opportunities during downtrends, based on a combination of price action, momentum, and volume confirmation.
Important Notes:
Backtesting is crucial to evaluate the historical performance of this strategy before deploying it with real capital.
Consider incorporating additional risk management techniques like stop-loss orders.
This strategy is just a starting point and can be further customized based on your trading goals and risk tolerance.
Matrix Bias V2This is the second version of Matrix Bias, when combined with the first version only then you will enter the trend matrix on a longer term trend, when both labels match enjoy the ride, this version is currently invite only, until further notice.
Matrix BiasThis is a powerful free to use bias indicator based on price action and order flow for short term trends in the markets, it is good for scalping and day trading trends.
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Gann Mass Pressure Index 2020This indicator is based on W.D. Gann's theory of market cycles and mass pressure analysis. Gann believed that historical price movements repeat over time due to natural, economic, and psychological forces. The Mass Pressure Index identifies and visualizes these cyclical patterns to forecast potential market movements, analyzing past Dow Jones Industrial Average (DJI) data.
Note: TradingView does not support future forecasts in scripts. This tool is intended for proof of concept and back-testing. For full access to Mass Pressure Index data from 1960 to 2040, please contact bkiely@libertypoleresearch.com
Overview of Gann Theory: W.D. Gann, a legendary trader, proposed that market movements follow specific cycles influenced by timeframes, with the "Master Time Cycle" (60 years) being most significant. Prices often repeat patterns tied to past decades, offering forecasting opportunities.
Cycle Construction:
60-Year Cycle: The primary "Master Time Cycle."
60/20 Cycle: Blends 60-year and 20-year patterns for refined insights.
60/40/20 Cycle: Incorporates 60, 40, and 20-year trends for medium-term analysis.
60/30/20/10 Cycle: Adds shorter cycles for detailed behavior.
80/60/20/10 Cycle: Extends the analysis to even longer-term patterns.
Usage: The indicator is tailored for the DJI and related tickers, identifying major yearly swing highs, lows, and pivots. The plotted lines represent adjusted YTD performance for each cycle. By observing convergence or divergence in these cycles, traders can anticipate potential market shifts.
Important Notes:
Educational purposes only; not financial advice.
Suitable for retrospective analysis and forward-looking insights.
Interpretation should be combined with other tools for robust analysis.
Disclaimer: This script is for informational and educational purposes only and should not be considered financial or investment advice. Trading carries significant risk. Conduct thorough analysis and consult with licensed professionals before trading. The author is not liable for any losses incurred. Past performance is not indicative of future results.
Gann DJI Mass Pressure Index 2021This indicator is based on W.D. Gann's theory of market cycles and mass pressure analysis. Gann believed that historical price movements repeat over time due to natural, economic, and psychological forces. The Mass Pressure Index identifies and visualizes these cyclical patterns to forecast potential market movements, analyzing past Dow Jones Industrial Average (DJI) data.
Note: TradingView does not support future forecasts in scripts. This tool is intended for proof of concept and back-testing. For full access to Mass Pressure Index data from 1960 to 2040, please contact bkiely@libertypoleresearch.com
Overview of Gann Theory: W.D. Gann, a legendary trader, proposed that market movements follow specific cycles influenced by timeframes, with the "Master Time Cycle" (60 years) being most significant. Prices often repeat patterns tied to past decades, offering forecasting opportunities.
Cycle Construction:
60-Year Cycle: The primary "Master Time Cycle."
60/20 Cycle: Blends 60-year and 20-year patterns for refined insights.
60/40/20 Cycle: Incorporates 60, 40, and 20-year trends for medium-term analysis.
60/30/20/10 Cycle: Adds shorter cycles for detailed behavior.
80/60/20/10 Cycle: Extends the analysis to even longer-term patterns.
Usage: The indicator is tailored for the DJI and related tickers, identifying major yearly swing highs, lows, and pivots. The plotted lines represent adjusted YTD performance for each cycle. By observing convergence or divergence in these cycles, traders can anticipate potential market shifts.
Important Notes:
Educational purposes only; not financial advice.
Suitable for retrospective analysis and forward-looking insights.
Interpretation should be combined with other tools for robust analysis.
Disclaimer: This script is for informational and educational purposes only and should not be considered financial or investment advice. Trading carries significant risk. Conduct thorough analysis and consult with licensed professionals before trading. The author is not liable for any losses incurred. Past performance is not indicative of future results.
Gann DJI Mass Pressure Index 2022This indicator is based on W.D. Gann's theory of market cycles and mass pressure analysis. Gann believed that historical price movements repeat over time due to natural, economic, and psychological forces. The Mass Pressure Index identifies and visualizes these cyclical patterns to forecast potential market movements, analyzing past Dow Jones Industrial Average (DJI) data.
Note: TradingView does not support future forecasts in scripts. This tool is intended for proof of concept and back-testing. For full access to Mass Pressure Index data from 1960 to 2040, please contact bkiely@libertypoleresearch.com
Overview of Gann Theory: W.D. Gann, a legendary trader, proposed that market movements follow specific cycles influenced by timeframes, with the "Master Time Cycle" (60 years) being most significant. Prices often repeat patterns tied to past decades, offering forecasting opportunities.
Cycle Construction:
60-Year Cycle: The primary "Master Time Cycle."
60/20 Cycle: Blends 60-year and 20-year patterns for refined insights.
60/40/20 Cycle: Incorporates 60, 40, and 20-year trends for medium-term analysis.
60/30/20/10 Cycle: Adds shorter cycles for detailed behavior.
80/60/20/10 Cycle: Extends the analysis to even longer-term patterns.
Usage: The indicator is tailored for the DJI and related tickers, identifying major yearly swing highs, lows, and pivots. The plotted lines represent adjusted YTD performance for each cycle. By observing convergence or divergence in these cycles, traders can anticipate potential market shifts.
Important Notes:
Educational purposes only; not financial advice.
Suitable for retrospective analysis and forward-looking insights.
Interpretation should be combined with other tools for robust analysis.
Disclaimer: This script is for informational and educational purposes only and should not be considered financial or investment advice. Trading carries significant risk. Conduct thorough analysis and consult with licensed professionals before trading. The author is not liable for any losses incurred. Past performance is not indicative of future results.
Gann DJI Mass Pressure Index 2023This indicator is based on W.D. Gann's theory of market cycles and mass pressure analysis. Gann believed that historical price movements repeat over time due to natural, economic, and psychological forces. The Mass Pressure Index identifies and visualizes these cyclical patterns to forecast potential market movements, analyzing past Dow Jones Industrial Average (DJI) data.
Note: TradingView does not support future forecasts in scripts. This tool is intended for proof of concept and back-testing. For full access to Mass Pressure Index data from 1960 to 2040, please contact bkiely@libertypoleresearch.com
Overview of Gann Theory: W.D. Gann, a legendary trader, proposed that market movements follow specific cycles influenced by timeframes, with the "Master Time Cycle" (60 years) being most significant. Prices often repeat patterns tied to past decades, offering forecasting opportunities.
Cycle Construction:
60-Year Cycle: The primary "Master Time Cycle."
60/20 Cycle: Blends 60-year and 20-year patterns for refined insights.
60/40/20 Cycle: Incorporates 60, 40, and 20-year trends for medium-term analysis.
60/30/20/10 Cycle: Adds shorter cycles for detailed behavior.
80/60/20/10 Cycle: Extends the analysis to even longer-term patterns.
Usage: The indicator is tailored for the DJI and related tickers, identifying major yearly swing highs, lows, and pivots. The plotted lines represent adjusted YTD performance for each cycle. By observing convergence or divergence in these cycles, traders can anticipate potential market shifts.
Important Notes:
Educational purposes only; not financial advice.
Suitable for retrospective analysis and forward-looking insights.
Interpretation should be combined with other tools for robust analysis.
Disclaimer: This script is for informational and educational purposes only and should not be considered financial or investment advice. Trading carries significant risk. Conduct thorough analysis and consult with licensed professionals before trading. The author is not liable for any losses incurred. Past performance is not indicative of future results.
Gann DJI Mass Pressure Index 2024This indicator is based on W.D. Gann's theory of market cycles and mass pressure analysis. Gann believed that historical price movements repeat over time due to natural, economic, and psychological forces. The Mass Pressure Index identifies and visualizes these cyclical patterns to forecast potential market movements, analyzing past Dow Jones Industrial Average (DJI) data.
Note: TradingView does not support future forecasts in scripts. This tool is intended for proof of concept and back-testing. For full access to Mass Pressure Index data from 1960 to 2040, please contact bkiely@libertypoleresearch.com
Overview of Gann Theory: W.D. Gann, a legendary trader, proposed that market movements follow specific cycles influenced by timeframes, with the "Master Time Cycle" (60 years) being most significant. Prices often repeat patterns tied to past decades, offering forecasting opportunities.
Cycle Construction:
60-Year Cycle: The primary "Master Time Cycle."
60/20 Cycle: Blends 60-year and 20-year patterns for refined insights.
60/40/20 Cycle: Incorporates 60, 40, and 20-year trends for medium-term analysis.
60/30/20/10 Cycle: Adds shorter cycles for detailed behavior.
80/60/20/10 Cycle: Extends the analysis to even longer-term patterns.
Usage: The indicator is tailored for the DJI and related tickers, identifying major yearly swing highs, lows, and pivots. The plotted lines represent adjusted YTD performance for each cycle. By observing convergence or divergence in these cycles, traders can anticipate potential market shifts.
Important Notes:
Educational purposes only; not financial advice.
Suitable for retrospective analysis and forward-looking insights.
Interpretation should be combined with other tools for robust analysis.
Disclaimer: This script is for informational and educational purposes only and should not be considered financial or investment advice. Trading carries significant risk. Conduct thorough analysis and consult with licensed professionals before trading. The author is not liable for any losses incurred. Past performance is not indicative of future results.
NoWick Candles HighlighterThis scripts highlights bullish candles with no wicks and bearish candles with no tails.
