ELVTDFinance COTELVTDFinance COT Indicator:
The ELVTDFinance COT Indicator is a sophisticated tool designed for traders seeking to gain deeper insights into market dynamics through Commitment of Traders (COT) data. This indicator visually represents the net positions of three distinct market participant groups: Commercials, Non-Commercials (Smart Money), and Retail Traders, enabling traders to interpret sentiment and potential market direction.
Key Features:
COT Data Integration:
Pulls weekly COT data from TradingView's LibraryCOT.
Distinguishes between long and short positions for each participant type:
Commercials: Producers or hedgers with vested interest in stabilizing market conditions.
Non-Commercials (Smart Money): Speculative traders often driving trends.
Retail Traders: Non-reportable positions, typically indicative of retail sentiment.
Net Position Calculations:
The indicator calculates and plots the net position (long - short) for each group.
Provides a clear visual distinction of market positioning trends over time.
Dynamic Plot Styles:
Adapts to the timeframe:
Weekly/Monthly: Line plots for a smoother view of trends.
Other Timeframes: Step-line plots for precise position changes.
Color Coding:
Blue: Commercials (Producers/Hedgers).
Teal: Non-Commercials (Smart Money).
Red: Retail Traders.
Highlights Market Sentiment:
Uses a color-shift mechanism based on the relative strength of Smart Money vs. Retail Traders.
Turns green when Smart Money positions dominate retail sentiment, signaling potential trend reversals or continuations.
Labels and Visual Aids:
Displays labels with net positions for each participant group on the chart.
Ensures clarity in understanding which group is leading the market at any point in time.
Advanced Visual Fill:
Shaded regions between Smart Money and Retail Traders provide an intuitive visual cue for sentiment alignment or divergence.
Support for Scalping and Swing Trading:
Offers utility for both short-term scalping strategies and longer-term swing trades by identifying the actions of dominant market forces.
How It Works:
The indicator retrieves and processes COT data weekly.
Net positions are calculated and compared across participant groups.
Plots are dynamically updated to reflect market sentiment.
A zero-line acts as a reference to gauge whether the group is net long or net short.
Use Case Examples:
Trend Reversal Signals:
If Smart Money positions increase while Retail Traders are heavily short, it may signal a potential bullish reversal.
Trend Confirmation:
Alignments between Smart Money and Retail Trader trends can confirm a strong directional move.
Hedging Insights:
Commercials often hedge against price movements. Their actions can hint at supply-side expectations.
By leveraging the ELVTDFinance COT Indicator, traders can better understand the driving forces behind market moves and incorporate this into their decision-making processes. This tool is particularly valuable for analyzing sentiment shifts and gauging market momentum.
Engagement des traders (COT)
Tims Smart Money COT-IndexThe **Tims Smart Money COT Index** analyzes the positions of different groups of market participants from the COT report (Commercials, Large Specs, Small Specs). It calculates their net positions and scales them relative to extremes of the last 24 weeks. It indicates bullish and bearish zones to identify market sentiments.
- Commercials (Smart Money)**: Often act against the trend, bullish from 80+.
- Large Specs (Retail Money)**: Trend-following, bullish from 80+.
- Small Specs**: Mostly impulsive, bullish from 80+.
The indicator helps to identify turning points in the market based on the behavior of the players.
COT Trendfilter + SignalsCOT Trendfilter + Signals Indicator
Data Processing and Usage: The COT indicator processes Commitments of Traders (COT) data provided by the CFTC. Users can select from various participant groups, including Commercials, Large Speculators, and Small Speculators. However, it is important to note that the signal logic of the indicator is exclusively applicable to the net positions of Commercials. This is because Commercials tend to trade contrarily, meaning their trading decisions often run against the prevailing market trend.
Functionality of the Indicators
1. Cycle COT
The cCOT is an enhanced version of the classic RSI. It incorporates additional smoothing based on market vibrations, along with adaptive upper and lower bands based on cyclical memory. The cCOT uses the current dominant cycle length as input and highlights trading signals when the signal line crosses above or below the adaptive bands. Compared to the standard RSI, the cCOT responds more quickly to market movements.
For detailed information on the cCOT, please refer to Chapter 4 "Fine tuning technical indicators" in the book "Decoding the Hidden Market Rhythm, Part 1" by Lars von Thienen.
2. Adaptive Ultra-Smooth Momentum Indicator
The Adaptive Ultra-Smooth Momentum Indicator (CSI) provides an optimized momentum oscillator based on the current dominant cycle. It addresses three common issues with standard indicators: excessive false signals, signal delay, and the need for length adjustments. The CSI offers adaptive smoothing, zero delay, and accurate detection of turning points.
For further information about the CSI, please refer to Chapter 10 "Cycle Swing Indicator: Trading the swing of the dominant cycle" in the book "Decoding the Hidden Market Rhythm, Part 1" by Lars von Thienen.
Signals and Validation
The indicator generates various trading signals:
cCOT:
A buy signal is indicated by an airplane emoji (🛫), while a sell signal is marked by another airplane emoji (🛬).
COT Momentum:
A buy signal is shown by the symbol “∿” in green, while a sell signal is represented by the same symbol in red.
Standard COT Index (Willco):
A buy signal is depicted by a “B” (in green), while a sell signal is shown by an “S” (in red).
Additionally, the validity of the signals is checked. If a previous signal becomes invalid in the following week, it is marked with a gray “x,” indicating that these signals may not be reliable. Users can also switch between net positions, long, and short to analyze the most relevant data for them.
Background Color
The color in the channel can indicate the strength of the Commercials' long-term trend. A channel background color signals an active long-, short-term trend, while no color suggests that there is no clear long-term trend present.
Strange behavior
When only a sharp spike is displayed and the rest is flat, the length settings of the Cycle Length Index should be increased. This can occur when the length is too short, resulting in an unusual spike to properly generate the channel.
Disclaimer
The use of this indicator and the generated signals is at your own risk. The author assumes no responsibility for trading decisions made based on these signals. Please be aware that trading financial instruments involves risks.
Adjusted CoT IndexAdjusted COT Index
Improves upon: "COT Index Commercials vs large and small Speculators" by SystematicFutures
How: CoT Indexes are adjusted by Open Interest to normalise data over time, and threshold background colours are in-line with Larry Williams recommendations from his book.
Note: This indicator is **only** accurate on the Daily time-frame due to the mid-week release date for CoT data.
This script calculates and plots the Adjusted Commitment of Traders (COT) Index for Commercial, Large Speculator, and Retail (Small Speculator) categories.
The CoT Index is adjusted by Open Interest to normalise data through time, following the methodology of Larry Williams, providing insights into how these groups are positioned in the market with an arguably more historically accurate context.
COT Categories
-------------------
- Commercials (Producers/Hedgers): Large entities hedging against price changes in the underlying asset.
- Large Speculators (Non-commercials): Professional traders and funds speculating on price movements.
- Retail Traders (Nonreportable/Small Speculators): Small individual traders, typically less informed.
Features
----------
- Open Interest Adjustment
- The net positions for each category are normalized by Open Interest to account
for varying contract sizes.
- Customisable Look-back Period
- You can adjust the number of weeks for the index calculation to control the
historical range used for comparison.
- Thresholds for Extremes
- Upper and lower thresholds (configurable) are provided to mark overbought and
oversold conditions.
- Defaults
- Overbought: <=20
- Oversold: >= 80
- Hide Current Week Option
- Optionally hide the current week's data until market close for more accurate comparison.
- Visual Aids
- Plot the Commercials, Large Speculators, and Retail indexes, and optionally highlight extreme positioning.
Inputs
--------
- weeks
- Number of weeks for historical range comparison.
- upperExtreme and lowerExtreme
- Thresholds to identify overbought/oversold conditions (default 80/20).
- hideCurrentWeek
- Option to hide current week's data until market close.
- markExtremes
- Highlight extremes where any index crosses the upper or lower thresholds.
- Options to display or hide indexes for Commercials, Large Speculators, and Small Speculators.
Outputs
----------
- The script plots the COT Index for each of the three categories and highlights periods of extreme positioning with customisable thresholds.
Usage
-------
- This tool is useful for traders who want to track the positioning of different market participants over time.
- By identifying the extreme positions of Commercials, Large Speculators, and Retail traders, it can give insights into market sentiment and potential reversals.
- Reversals of trend can be confirmed with RSI Divergence (daily), for example
- Continuation can be confirmed with RSI overbought/oversold conditions (daily), and/or hidden RSI Hidden Divergence, for example
COT INDEXING | OPEN INTEREST [DIGGERDOG]COT INDEXING | OPEN INTEREST
This Pine Script for TradingView, titled **"COT INDEXING | OPEN INTEREST "**, is designed to analyze and visualize the **Open Interest (OI)** in conjunction with **COT (Commitment of Traders) data**. It calculates and plots an Open Interest index across multiple timeframes and highlights extreme values to help identify overbought or oversold market conditions.
Key Features:
1. **COT Data Retrieval**:
- The script fetches Open Interest from the **Legacy COT Report**.
- Open Interest data is also retrieved, representing the number of active contracts on the market. This is a key indicator of market participation.
2. **Multi-Timeframe Open Interest Index Calculation**:
- The script calculates the **Open Interest Index** across multiple timeframes (e.g., 26, 52, 156 weeks). For each timeframe, it calculates:
\
- The index values show where the current Open Interest stands relative to historical extremes (high and low) over each timeframe.
3. **Extreme Value Highlighting**:
- The script highlights extreme values by marking Open Interest values above a user-defined **extreme high threshold** and below an **extreme low threshold**.
- **Red background**: Indicates Open Interest is above the extreme high threshold (potentially overbought).
- **Green background**: Indicates Open Interest is below the extreme low threshold (potentially oversold).
4. **Visualizations**:
- The script plots the **Open Interest Index** for each timeframe as a line chart.
- It also includes horizontal reference lines at 80, 50, and 20, representing typical thresholds for overbought, neutral, and oversold conditions.
5. **Customizable Inputs**:
- **Timeframes**: Users can define the time periods for the Open Interest Index calculation (e.g., 26, 52, 156 weeks).
- **Extreme Thresholds**: The **high** and **low** thresholds can be adjusted to customize the extreme levels for overbought or oversold signals.
- **Color Settings**: Colors for the plot lines and background can be customized for better visualization.
How It Works:
1. **Open Interest Index Calculation**:
- The script calculates the Open Interest Index for three different timeframes (e.g., short-term, medium-term, long-term). Each index is plotted to show how the current Open Interest compares to historical values.
2. **Extreme Value Highlighting**:
- The background color of the chart changes based on whether the Open Interest Index crosses above or below the user-defined extreme thresholds. This helps visually identify potentially overbought or oversold conditions.
3. **Multi-Timeframe Analysis**:
- By calculating the index over multiple timeframes, traders can gain insights into both short-term and long-term trends in Open Interest. This helps identify whether recent Open Interest changes are part of a larger trend or just short-term fluctuations.
Usage:
- **Market Sentiment Analysis**: Open Interest is a measure of market participation, and changes in OI can indicate shifts in market sentiment. For example, rising Open Interest during a price increase suggests a strong trend, while falling Open Interest may signal weakening momentum.
- **Trend Confirmation**: When Open Interest is rising alongside price trends, it confirms that new participants are entering the market. Conversely, falling OI during price movements suggests that the trend might lack strength.
- **Overbought/Oversold Identification**: The extreme thresholds help identify when the Open Interest has reached levels that might signal an overbought or oversold market, indicating a potential reversal.
### Example Use Case:
- A trader could use this script to monitor whether the market is gaining or losing participation (via Open Interest) as the price of a commodity moves. If Open Interest is rising along with price, this suggests a strong trend. If Open Interest starts to fall while the price rises, it could signal that the trend is running out of steam.
### Customizable Features:
- **Timeframe Adjustments**: The user can set different timeframes (e.g., short, medium, long-term) for the Open Interest Index calculation.
- **Extreme Thresholds**: Define custom thresholds for overbought and oversold conditions to suit your trading strategy. (only timeframe 1)
- **Color and Visual Settings**: Adjust the colors of the plots and background to better fit your charting style. (only timeframe 1)
This script provides a clear visual representation of Open Interest trends across multiple timeframes and highlights potential market turning points based on extreme levels in Open Interest. By integrating this with price analysis, traders can get a better sense of market momentum and strength.
COT INDEXING | COMMERCIALS [DIGGERDOG]COT INDEXING | COMMERCIALS
This Pine Script for TradingView, titled **"COT INDEXING | COMMERCIALS"**, is designed to index the net positions of **commercial**, **non-commercial**, and **non-reportable** participants based on the **Commitment of Traders (COT) report**. The script displays the net positions, calculates an index of commercial net positions over a user-defined timeframe, and marks extreme values with background colors.
Key Features:
1. **COT Data Retrieval:**
- The script fetches **commercial**, **non-commercial**, and **non-reportable** positions from the **Legacy COT Report**.
- It retrieves both **long** and **short** positions for each type of participant, and calculates the **net positions** for these groups.
- Users can manually input the **CFTC Code** or use an automated COT code selection mode based on their selected asset.
2. **Index Calculation:**
- The script calculates the **COT Index** for commercial net positions over a user-defined timeframe (default is 26 periods).
- The index is calculated as a percentage of the net position’s range over the given timeframe.
3. **Plotting COT Index:**
- The COT Index is plotted as a line, with customizable colors depending on whether the index is growing or falling.
- **Red** and **green** colors are used to visually indicate overbought or oversold conditions.
4. **Threshold Marking:**
- The script allows users to mark **extreme values** of the COT Index with background colors:
- **Green background** indicates the index is above a user-defined **high threshold** (default is 80).
- **Red background** indicates the index is below a user-defined **low threshold** (default is 20).
- Values outside the normal range (below 0 or above 100) are marked with a **white background**.
5. **Dashboard for Last COT Update:**
- The script displays the date of the last available COT data in a small table in the bottom-right corner of the chart.
- This helps users stay informed about the most recent COT data used in the analysis.
6. **Customizable Inputs:**
- **Timeframe**: Users can adjust the timeframe for the COT Index calculation.
- **Thresholds**: Users can set the **high** and **low** thresholds for marking extreme values.
- **Color settings**: Colors for the plotted COT Index and background marking can be customized.
How It Works:
1. **COT Data Processing**:
- Long and short positions for commercial, non-commercial, and non-reportable market participants are fetched from the COT report.
- The script then calculates the **net positions** by subtracting short positions from long positions.
2. **COT Index Calculation**:
- For the commercial net position, the script calculates the highest and lowest net positions over the selected timeframe and then calculates the index based on this range.
- The index value is a percentage representing where the current net position stands in comparison to the highest and lowest points over the timeframe.
3. **Extreme Marking**:
- The background of the chart changes color when the index reaches extreme levels, making it easier for traders to identify potential overbought or oversold conditions based on commercial net positioning.
Usage:
- **Market Sentiment Analysis**: This script allows traders to track the sentiment of **commercial market participants**, who are often considered "smart money". The COT Index helps identify extremes in positioning, which may signal potential reversals.
- **Trend Analysis**: Changes in the COT Index can provide insight into market trends, with growing or falling net positions potentially indicating market direction.
- **Extreme Value Alerts**: By marking extreme values, the script helps traders identify when the market may be reaching a significant turning point.
Example Use Case:
- Use the **COT Index** to monitor when commercial traders are heavily long or short, which could indicate a significant market move.
- Track the index over time to see if there’s a pattern in how commercial traders position themselves during specific market cycles.
Customizable Features:
- **Timeframe**: Define how far back the script looks to calculate the highest and lowest net positions.
- **Extreme Thresholds**: Set your own thresholds for what constitutes an extreme value in the COT Index (e.g., over 80 for overbought, under 20 for oversold).
- **Plot and Background Colors**: Customize the colors for the COT Index and extreme value backgrounds to suit your preferences.
This script is highly useful for traders who rely on COT data to understand market sentiment and positioning of commercial market participants. It provides a clear visual representation of extremes and trends, helping traders make more informed decisions.
COT PLOTING | NET POSITIONS [DIGGERDOG]COT PLOTING | NET POSITIONS
This Pine Script for TradingView, titled **"COT PLOTTING | NET POSITIONS "**, visualizes the net positions of **commercial**, **non-commercial**, and **non-reportable** participants from the Commitment of Traders (COT) report. The net positions are displayed on a chart, with color adjustments for long and short positions and background shading based on COT data.
Key Features:
1. **COT Data Retrieval:**
- The script fetches **commercial**, **non-commercial**, and **non-reportable** positions from the **Legacy COT Report**.
- It distinguishes between **long and short positions** for each participant type.
- Users can select between **Futures**, **Options**, or **Futures + Options** for the position data.
2. **Net Positions:**
- Net positions are calculated as the difference between long and short positions, and displayed for commercial, non-commercial, and non-reportable market participants.
- Users can optionally specify a **CFTC Code** to analyze specific markets or use automatic COT code selection.
3. **Data Visualization:**
- The net positions of commercial traders are plotted as **red and green lines**. These colors indicate whether the net positions are growing or shrinking:
- **Red:** When the net position is positive and growing.
- **Green:** When the net position is negative or decreasing.
- The net positions of **non-commercial** participants are plotted in **blue**.
- The net positions of **non-reportable** participants can optionally be displayed.
4. **Background Color Based on Market Movements:**
- The chart’s background color changes dynamically based on the shifts in the net positions of commercial traders.
- **Red Background:** When the net position is increasing.
- **Green Background:** When the net position is decreasing.
5. **Dashboard and Timestamp:**
- The date of the last COT data update is displayed in the bottom-right corner of the chart. The timestamp of the latest data release is shown in a small table.
6. **Horizontal Line:**
- A horizontal line is displayed at **0**, clearly indicating the boundary between positive and negative net positions.
Usage:
This script is ideal for traders who use **Commitment of Traders (COT)** data to analyze market trends. The net positions of various market participants provide valuable insights into market sentiment. In particular, the positions of commercial traders, often referred to as "smart money," can indicate potential market movements.
Use Cases:
- **Market Sentiment Analysis:** The net positions of commercial, non-commercial, and non-reportable traders reveal the market’s positioning and can point to potential trend reversals.
- **Trend-Following Strategies:** Changes in net positions can signal a possible market direction shift, especially when commercial traders significantly change their positions.
- **Futures and Options:** Users can choose between purely futures data or a combination of futures and options for the COT analysis.
Additional Features:
- **Customizable Color Settings:** The line and background colors can be adjusted by the user.
- **Quick Overview:** The script provides a quick overview of the net positions of market participants and visually highlights potential turning points.
This script offers comprehensive COT data analysis and presents it in a user-friendly visual format. It helps traders make informed decisions based on the market positioning of major players.
COT REPORTING | COMMERCIALS [DIGGERDOG]COT REPORTING | COMMERCIALS
This Pine Script for TradingView, titled **"COT REPORTING | COMMERCIALS "**, pulls Commitment of Traders (COT) data for commercial and non-commercial positions from the Legacy COT report and displays it in a dashboard format with various analytical insights. The script allows for tracking of long, short, and net positions, along with open interest and trend indices for commercial traders.
Key Features:
1. **COT Data Retrieval:**
- The script fetches long and short positions for **commercial**, **non-commercial**, and **non-reportable** participants in the market. These positions are based on data from the **Legacy COT Report**.
- The **open interest** (OI) is also retrieved from the COT report to calculate position percentages.
2. **Net Position Calculation:**
- The net positions are calculated as the difference between long and short positions for commercials, non-commercials, and non-reportables.
3. **Percentage and Net Calculations:**
- The script calculates the percentage of long and short commercial positions relative to the total open interest.
- It also displays whether the long positions exceed short positions or vice versa, highlighting possible trends in market positioning.
4. **Term Spread Calculation:**
- The script calculates the **term spread**, which is the difference between the prices of the current and next futures contract.
5. **Trend Index:**
- The script includes several trend indices to measure the positioning of commercial traders relative to historical data, such as the lowest and highest net positions over a given timeframe.
6. **Dashboard Display:**
- A custom dashboard is rendered on the chart in a user-defined position (e.g., **Top Right**, **Bottom Left**) and size (e.g., **Tiny**, **Normal**, **Large**).
- The dashboard displays the key metrics such as long and short positions, net positions, percentage of long/short in open interest, term spread, and trend indices for commercial traders.
7. **Color-Coding for Easy Interpretation:**
- Different colors are used to indicate bullish, bearish, and neutral signals:
- **Green** for bullish or increasing values.
- **Red** for bearish or decreasing values.
- **Black** for neutral or unchanged values.
8. **Customization:**
- The user can choose whether to display short positions as negative numbers.
- Various visual elements of the table (header, text colors, and transparency levels) are customizable for easier readability.
Usage:
This indicator is ideal for traders who want to analyze **Commitment of Traders (COT) reports** to track the positioning of major market participants such as commercial and non-commercial traders. It helps to understand market sentiment and potential trend reversals based on shifts in the net positions of commercial traders.
### Key Metrics in the Dashboard:
- **Long and Short Commercial Positions**: Displayed with percentages relative to the total open interest.
- **Net Commercial Positions**: Calculated as the difference between long and short positions.
- **Trend Indices**: Show the position of commercial traders over various timeframes (e.g., 13-week, 26-week).
- **Term Spread**: Displays the difference between the current and next futures contract prices, indicating market expectations.
### Example Use Case:
- Use the net commercial position and trend indices to anticipate market moves, as commercial traders are often considered "smart money."
- Monitor the percentage of long and short commercial positions to assess potential overbought or oversold market conditions.
This script is highly customizable and gives traders detailed insight into market behavior based on the COT report, allowing for better-informed trading decisions. If you need further modifications or explanations, feel free to ask!
Cot Histogram | MercorCot Histogram | Mercor
Overview:
The Cot Histogram | Mercor indicator provides a comprehensive visualization of the Commitment of Traders (COT) report data using bar charts. This indicator is designed to help traders analyze the positions held by commercial traders and large speculators in various markets. By representing the data as histograms, traders can easily interpret the long and short positions, as well as the net positions of these market participants.
Originality:
What sets the Cot Histogram | Mercor indicator apart is its unique approach to visualizing COT data using bar charts instead of traditional line charts. This method offers a clearer representation of the data, making it easier for traders to spot trends and changes in market sentiment. Additionally, the indicator allows for customization of colors and bar widths, providing a tailored experience for each user.
Features:
Show Shorts as Negative Numbers: This option allows users to display short positions as negative values, providing a more intuitive visualization.
Invert Colors: Users can invert the default colors for long and short positions, enabling better contrast and visual preference.
Bar Width: Adjust the width of the histogram bars to suit personal preferences and chart aesthetics.
Concepts Underlying the Calculations:
The Commitment of Traders (COT) report is a weekly publication by the Commodity Futures Trading Commission (CFTC) that provides a breakdown of the open interest positions of market participants in futures markets. This indicator focuses on two main categories of traders:
Commercial Traders: These are entities involved in the production, processing, or merchandising of a commodity. Their positions are typically hedging-oriented.
Large Speculators: These include institutional investors, hedge funds, and other entities that take positions based on market trends and expectations, often for speculative purposes.
The indicator calculates and plots the following metrics:
Commercial Long: The number of long positions held by commercial traders.
Commercial Short: The number of short positions held by commercial traders.
Commercial Net: The difference between commercial long and short positions.
Large Speculators Long: The number of long positions held by large speculators.
Large Speculators Short: The number of short positions held by large speculators.
Large Speculators Net: The difference between long and short positions of large speculators.
How to Use:
Load the Indicator: Add the Cot Histogram | Mercor indicator to your TradingView chart.
Customize Settings: Adjust the settings according to your preferences:
Enable or disable the "Show Shorts as Negative Numbers" option.
Invert the colors if needed.
Adjust the bar width for better visual representation.
Interpret the Data: Use the histograms to analyze the market positions:
Commercial Long and Short: Observe the positions held by commercial traders. Increasing long positions may indicate hedging against potential price increases, while increasing short positions may suggest hedging against potential price decreases.
Large Speculators Long and Short: Monitor the positions of large speculators to gauge market sentiment. A rise in long positions by large speculators often indicates bullish sentiment, while a rise in short positions suggests bearish sentiment.
Net Positions: The net positions provide a clearer picture of the overall stance of commercial traders and large speculators.
Example:
If you notice that commercial traders are increasing their long positions while large speculators are increasing their short positions, it may indicate a divergence in market expectations between hedgers and speculators. This could be a signal to further investigate potential market reversals or confirm existing trends.
By leveraging the Cot Histogram | Mercor indicator, traders can gain valuable insights into market dynamics, improve their trading strategies, and make more informed decisions. Whether you are a long-term investor or a short-term trader, understanding the positions of different market participants can provide a significant edge in the markets.
COT Index Commercials vs large and small SpeculatorsThe COT reports for futures-only Commitments of Traders and for Futures and Options Combined Commitments of Traders are collected on Tuesdays and published every Friday at 3:30 p.m. Eastern time. The raw data is available free of charge on the Commodity Futures Trading Commission (CFTC) website.
Use it to get a better understanding on which side the smart money (producers, commercials) are trading on.
The COT index ranges from 0 to 100%. Extreme values are areas below 25% and above 75%. When the index reaches 0% or 100%, it means that the market participant has the most extreme net short or net long position in the last 26 weeks. Readings below 25% are considered as a short sentiment and readings above 75% are considered long sentiment. However the COT index is not a timing tool. It only shows the overall market sentiment of the smart money in relation over the past 26 weeks.
You can change the period to calculate the index, as well as the style, which lines to show and if you want to highlight the extreme arias.
COT | MERCORThis Pine Script is designed for use on the TradingView platform to visualize various Commitment of Traders (COT) data for trading analysis. The COT reports provide a breakdown of each Tuesday’s open interest in the futures markets, which is valuable for understanding market sentiment. This script specifically focuses on displaying the positions of commercial and noncommercial traders (large speculators), both in long and short positions, as well as their net positions. Here’s a breakdown of the script’s components and how to use it:
Script Components
Indicator Declaration: The script begins by declaring a custom indicator using indicator() function, naming it "COT | MERCOR", and setting a short title and precision.
Library Import: It imports a library TradingView/LibraryCOT/2 as cot, which is likely a mock representation for the purpose of this description, assuming a library that provides COT data functions.
User Inputs:
shortNegative: A boolean input that allows users to choose whether short positions are displayed as negative numbers.
invertColors: A boolean input for users to decide if they want to invert the default colors of the plot lines.
lineWidth: An integer input that lets users adjust the width of the plotted lines.
COT Data Requests: The script requests COT data for both commercial and noncommercial traders' long and short positions using cot.COTTickerid() function. This includes constructing identifiers for these data points based on the user's input and predefined criteria (like "Commercial Positions" or "Noncommercial Positions", and direction "Long" or "Short").
Data Plotting: The script plots the retrieved data points on the chart, using different colors and line styles to distinguish between commercial and noncommercial positions, as well as between long, short, and net positions. It includes options to adjust the appearance based on user inputs (like inverting colors or changing line width).
Zero Line: A horizontal line (hline) is plotted at zero to provide a baseline for comparison.
How to Use
Adding the Script to Your Chart:
On TradingView, open the Pine Editor.
Paste this script into the Pine Editor.
Save and add the script to your chart.
Customizing the Display:
You can toggle whether short positions are displayed as negative numbers through the "Show Shorts as Negative Numbers?" checkbox.
Use the "Invert Colors?" checkbox to swap the colors used for plotting the positions.
Adjust the "Line Width" option to change the thickness of the plotted lines according to your preference.
Analyzing the Data:
The plotted lines represent the long, short, and net positions of commercial and noncommercial traders.
Commercial positions are typically considered the positions of entities involved in the production, processing, or merchandising of a commodity, whereas noncommercial positions represent large speculators, such as hedge funds.
The net positions (long minus short) provide insight into the overall bullish or bearish sentiment among these trader categories.
By examining these positions, traders can gain insights into potential market moves based on the behaviors of key market participants.
This script is a powerful tool for traders who want to incorporate COT report data into their market analysis on TradingView. By visualizing the trading positions of significant market players, it aids in making informed trading decisions.
CoT artificial by Oster and Freundl (CoF)Overview:
CoF , short for "CoT artificial by Oster and Freundl", presents a novel approach to market analysis, inspired by the traditional Commitments of Traders (CoT) Index . Based on the artificial CoT calculation according to Freundl and Oster (explained below), this indicator provides traders with a versatile tool applicable across various markets, including individual stocks. Unlike its predecessor, CoF offers flexibility in its application, accommodating traders with different investment horizons, whether they operate on weekly, daily, hourly, or even minute candlesticks. By adjusting the period length in the settings, users can fine-tune the sensitivity of CoF to capture buy or sell signals, albeit with differing signal qualities. Additionally, CoF is equipped with alert functionalities, enhancing its usability for traders seeking timely market insights.
Sophisticated Calculation Methodology:
CoF derives its insights from a sophisticated calculation methodology, leveraging price range and price movement metrics to assess market dynamics. The indicator computes the ratio between the moving averages of price movement and price range over a specified period. This ratio, once normalized and scaled to a 0-100 range , provides traders with a quantifiable measure of market sentiment. Notably, CoF's calculation method, while nuanced, ensures accessibility and usability for traders seeking actionable insights without delving into complex mathematical formulations.
Interpretation:
CoF-Index, represented on the chart, offers traders insights into market sentiment dynamics . Values below the sell threshold indicate potential selling pressure, triggering sell alerts to alert traders to potential downturns. Conversely, values exceeding the buy threshold signal buying opportunities, prompting buy alerts for traders to capitalize on potential market upswings. By aligning these interpretations with the trader's investment strategy, CoF aids in decision-making processes, offering nuanced perspectives on market movements.
Dynamic Color Coding for Visual Clarity:
To enhance user experience and facilitate quick decision-making, CoF incorporates dynamic color coding . Market conditions favoring selling are denoted by red hues, while those conducive to buying are highlighted in green. Neutral conditions, indicative of balanced market sentiment, are represented in neutral colors. This intuitive visual feedback enables traders to swiftly identify market opportunities and risks, empowering them to make informed trading decisions.
Customizable Parameters for Tailored Analysis:
Acknowledging the diverse trading preferences and strategies of its users, CoF offers customizable parameters . Traders can adjust the period length to fine-tune the indicator's sensitivity to their desired level, balancing the frequency and quality of signals according to their trading objectives. Additionally, CoF's alert functionalities allow traders to set personalized thresholds, aligning with their risk tolerance and market outlook.
Conclusion:
In conclusion, CoF emerges as a valuable addition to the trader's toolkit, offering a versatile and accessible approach to market analysis. Built upon a foundation of sophisticated calculation methodologies, CoF provides traders with actionable insights into market sentiment across various timeframes and asset classes . Its intuitive visualizations, coupled with customizable parameters and alert functionalities, empower traders to navigate dynamic market conditions with confidence. Importantly, the CoF index offers traders the flexibility to employ a synthetically calculated method, inspired by the classic CoT-Index, regardless of market or investment horizon . Whether you're a seasoned investor or a novice trader, CoF equips you with the tools needed to stay ahead in today's competitive markets.
COT MCIThe COT MCI script is a market indicator based on the data from the Commitment of Traders Reports.
Integration of COT Report Data:
The script sources COT data from futures contracts, including:
Treasury Bonds (ZB), Dollar Index (DX), 10-Year Treasury Notes (ZN)
Commodities like Soybeans (ZS), Soy Meal (ZM), Soy Oil (ZL), Corn (ZC), Wheat (ZW), Kansas City Wheat (KE), Pork (HE), Cattle (LE)
Precious Metals such as Gold (GC), Silver (SI), Palladium (PA), Platinum (PL)
Industrial Metals like Copper (HG), Aluminum (AUP), Steel (HRC)
Energy Products like Crude Oil (CL), Heating Oil (HO), Gasoline (RB), Natural Gas (NG), Brent Crude (BB)
Currencies such as AUD (6A), GBP (6B), CAD (6C), EUR (6E), JPY (6J), CHF (6S), NZD (6N), BRL (6L), MXN (6M), RUB (6R), ZAR (6Z)
Others: Sugar (SB), Coffee (KC), Cocoa (CC), Cotton (CT), Ethanol (EH), Rice (ZR), Oats (ZO), Whey (DC), Orange Juice (OJ), Lumber (LBS), Livestock (GF), E-mini S&P 500 (ES), E-mini Russell 2000 (RTY), E-mini Dow Jones (YM), E-mini NASDAQ-100 (NQ), VIX Futures (VX), S&P 500 (SP), DJIA (DJIA)
Cryptocurrencies such as Bitcoin (BTC) and Ethereum (ETH)
Functions and Logic of the Script:
COT Calculation: Determines the net positions for commercial actors and large speculators. Also Available are short and long positions of commercials or large speculators.
Position Change Analysis: Analyzes the percentage changes in net positions and open interest data over a period of 6 weeks (Weekly Chart).
Average Value Calculation: Determines short-term and long-term trend averages.
Trend Analysis: Buy and sell signals (represented in colors) are based on linear regressions and average calculations.
Usage and Application Examples:
Ideal for traders looking for a detailed analysis of market dynamics and position changes in the futures market. Suitable for decision-making in transaction timing and assessing market sentiment.
Usage Notes:
Users should be familiar with the interpretation of COT data and basic concepts of futures trading. Particularly suitable for medium to long-term trading strategies.
COT CFTC Title: Enhanced COT CFTC Analysis Tool
Description:
Introducing the 'Enhanced COT CFTC Analysis Tool', meticulously designed to dissect the CFTC's Commitments of Traders (COT) data. This sophisticated tool aims to equip traders and investors with profound insights into market dynamics, utilizing the positions of Large Speculators, Commercials, and Non-Reportable Positions for a comprehensive market overview.
Key Features:
Large Speculators Analysis: Visualizes the net positions of large speculators, offering insights into speculative market sentiments.
Commercials Insights: Provides a deep dive into the trading activities of commercials, known for their strategic hedging practices.
Non-Reportable Positions Tracking: Displays the activities of smaller speculators, often considered as contrarian indicators.
Additional Plots:
Options Share: Allows selection between the proportion of options in the market.
Net, Short, and Long Positions: Offers options to view net, short, and long positions.
Percentage of Net Short and Long Positions: Displays the percentage of net short and long positions, either as raw data or as an index over a specified time period.
Extreme Value Indicators: Highlights extreme values in the market data, providing critical insights into market peaks and troughs.
This tool features an intuitive display with color-coded lines and charts, simplifying the complex data analysis process. It also includes an innovative 5% detector, highlighting extreme market positions for enhanced market understanding.
Spread Analysis: This feature provides an insightful visualization of the spread between various COT data points, enabling users to gauge the market’s depth and liquidity effectively.
Usage Tips:
Utilize divergence analysis between different groups to identify potential trend reversals.
Keep a close eye on the 5% detector for early indications of market overextensions.
The 'Enhanced COT CFTC Analysis Tool' is a vital addition to your trading arsenal, designed to enrich your trading strategy with precise and actionable market insights. It’s not just an indicator; it’s a comprehensive market analysis suite.
Disclaimer: This indicator is for educational purposes only. Trading decisions should always be approached with caution and based on thorough personal analysis.
Open Interest Chart [LuxAlgo]The Open Interest Chart displays Commitments of Traders %change of futures open interest , with a unique circular plotting technique, inspired from this publication Periodic Ellipses .
🔶 USAGE
Open interest represents the total number of contracts that have been entered by market participants but have not yet been offset or delivered. This can be a direct indicator of market activity/liquidity, with higher open interest indicating a more active market.
Increasing open interest is highlighted in green on the circular plot, indicating money coming into the market, while decreasing open interests highlighted in red indicates money coming out of the market.
You can set up to 6 different Futures Open interest tickers for a quick follow up:
🔶 DETAILS
Circles are drawn, using plot() , with the functions createOuterCircle() (for the largest circle) and createInnerCircle() (for inner circles).
Following snippet will reload the chart, so the circles will remain at the right side of the chart:
if ta.change(chart.left_visible_bar_time ) or
ta.change(chart.right_visible_bar_time)
n := bar_index
Here is a snippet which will draw a 39-bars wide circle that will keep updating its position to the right.
//@version=5
indicator("")
n = bar_index
barsTillEnd = last_bar_index - n
if ta.change(chart.left_visible_bar_time ) or
ta.change(chart.right_visible_bar_time)
n := bar_index
createOuterCircle(radius) =>
var int end = na
var int start = na
var basis = 0.
barsFromNearestEdgeCircle = 0.
barsTillEndFromCircleStart = radius
startCylce = barsTillEnd % barsTillEndFromCircleStart == 0 // start circle
bars = ta.barssince(startCylce)
barsFromNearestEdgeCircle := barsTillEndFromCircleStart -1
basis := math.min(startCylce ? -1 : basis + 1 / barsFromNearestEdgeCircle * 2, 1) // 0 -> 1
shape = math.sqrt(1 - basis * basis)
rad = radius / 2
isOK = barsTillEnd <= barsTillEndFromCircleStart and barsTillEnd > 0
hi = isOK ? (rad + shape * radius) - rad : na
lo = isOK ? (rad - shape * radius) - rad : na
start := barsTillEnd == barsTillEndFromCircleStart ? n -1 : start
end := barsTillEnd == 0 ? start + radius : end
= createOuterCircle(40)
plot(h), plot(l)
🔶 LIMITATIONS
Due to the inability to draw between bars, from time to time, drawings can be slightly off.
Bar-replay can be demanding, since it has to reload on every bar progression. We don't recommend using this script on bar-replay. If you do, please choose the lowest speed and from time to time pause bar-replay for a second. You'll see the script gets reloaded.
🔶 SETTINGS
🔹 TICKERS
Toggle :
• Enabled -> uses the first column with a pre-filled list of Futures Open Interest tickers/symbols
• Disabled -> uses the empty field where you can enter your own ticker/symbol
Pre-filled list : the first column is filled with a list, so you can choose your open interest easily, otherwise you would see COT:088691_F_OI aka Gold Futures Open Interest for example.
If applicable, you will see 3 different COT data:
• COT: Legacy Commitments of Traders report data
• COT2: Disaggregated Commitments of Traders report data
• COT3: Traders in Financial Futures report data
Empty field : When needed, you can pick another ticker/symbol in the empty field at the right and disable the toggle.
Timeframe : Commitments of Traders (COT) data is tallied by the Commodity Futures Trading Commission (CFTC) and is published weekly. Therefore data won't change every day.
Default set TF is Daily
🔹 STYLE
From middle:
• Enabled (default): Drawings start from the middle circle -> towards outer circle is + %change , towards middle of the circle is - %change
• Disabled: Drawings start from the middle POINT of the circle, towards outer circle is + OR -
-> in both options, + %change will be coloured green , - %change will be coloured red .
-> 0 %change will be coloured blue , and when no data is available, this will be coloured gray .
Size circle : options tiny, small, normal, large, huge.
Angle : Only applicable if "From middle" is disabled!
-> sets the angle of the spike:
Show Ticker : Name of ticker, as seen in table, will be added to labels.
Text - fill
• Sets colour for +/- %change
Table
• Sets 2 text colours, size and position
Circles
• Sets the colour of circles, style can be changed in the Style section.
You can make it as crazy as you want:
ICT Commitment of Traders° by toodegreesDescription:
The Commitment of Traders (COT) is a valuable raw data report released weekly by the Commodity Futures Trading Commission (CFTC). This report offers insights into the current long and short positions of three key market entities:
Commercial Traders ( usually represented in red )
Large Traders ( typically depicted in green )
Small Speculator Traders ( commonly shown in blue )
The concept of utilizing the COT data as a strategic trading tool was first introduced by Larry Williams, who emphasized the importance of monitoring Commercial Speculators – large corporate producers or consumers of commodities.
The Inner Circle Trader (ICT) prompts us to delve deeper into this data. While we can easily determine their Net Position (also referred to as the Main Program) by subtracting Commercial Short Positions from the Commercial Long Positions, this calculation doesn't reveal their ongoing Hedge Program .
Merely following the Main Program won't provide a trading edge. Aligning with the Hedge Program can be an invaluable weapon in your trading arsenal.
The Commercial Speculators' Hedge Program can be unveiled by examining the highest and lowest reading of their Net Position over a chosen time period and setting a new "zero line" between these extremes. This process generates a novel "COT Graph" providing a detailed understanding of the Commercial Speculators' current market activity.
When the Hedge Program, Seasonality, and Open Interest are cross-referenced with Institutional Orderflow, a trader can construct a very clear medium-to-long-term market narrative.
Features:
Access COT Data for the Commercial Speculators via Tradingview's reliable data source
Automate calculations and display the 3-month, 6-month, 12-month, 2-year, and 3-year Hedge Program
Define your own Custom Time Range for the Hedge Program
Display the Main Program and all Hedge Programs in an easy-to-understand table format
Additionally, by following the included instructions, you can augment your table with COT data from multiple markets. This extra information can help monitor correlated markets and develop a more robust market narrative:
Open Interest Wiser [WISY]This script calculates the open interest (OI) of a given futures contract and identifies when the OI is increasing or decreasing.
It then plots bubbles on the chart to indicate when the OI is increasing or decreasing, with larger bubbles indicating a larger increase or decrease.
The script also calculates the rate of change (ROC) and the relative strength index (RSI) of the OI and its delta.
The user can adjust the input parameters to change the sensitivity of the indicator to changes in OI.
Dear traders, while we strive to provide you with the best trading tools and resources, we want to remind you to exercise caution and diligence in your investing decisions.
It is important to always do your own research and analysis before making any trades. Remember, the responsibility for your investments ultimately lies with you.
Happy trading!
EURUSD COT Trend StrategyThis is a long term/investment type of strategy designed to have a good idea about where the big trend direction is headed.
Its logic, its made entirely on the COT report, mainly from looking into the net non comercial positions aka the speculators.
For bullish trend we look that the difference between long non comercial vs short non comercial is higher than 0
For bearish trend we look that the difference between long non comercial vs short non comercial is lower than 0.
This is mainly as an educational tool, for a full strategy, I recommend implement other things into it, like technical analysis or risk management.
If you have any questions, please let me know !
ILM COT Financials PlotUse this indicator on Daily Timeframe
Please refer to the below link for CFTC Financials
www.cftc.gov
This script is very similar to COT Financial Table indicator except that it plots the data (Longs - Shorts) instead of showing in a table.
COT Net Positions Divergence, 5% High and Low of HistoryThis is the COT Netto Indicator with a Line of the Highest and Lowest Points in History and a 5 % Line of the Highest or Lowest Value calculated to the 0-Line.
There are also programmed Divergences to 3 different Calculations.
This only works with Futures .
--Energies, Metals, Bonds, Softs, Currencies, Livestock, live cattle , feeder cattle, lean hogs , index--
Open Interest for:
ZW, ZC , ZS, ZM, ZL, ZO, ZR, CL , RB, HO, NG , GC , SI, HG, PA, PL, ZN, ZB, ZT, ZF, CC , CT , KC, SB , JO, LB , AUDUSD , GBPUSD , USDCAD , EURUSD , USDJPY , USDCHF , USDMXN , NZDUSD , USDRUB , DX , BTC , ETH, LE, GF , HE, NQ, NDX, ES, SPX , RTY, VIX
If you want to know more just give me a message.
COT Report IndicatorA COT Report Indicator that shows the Data for both currencies (base- and quotecurrency). It works in the forex market and on the Bitcoin Chart.
The table shows the Net-Contracts, Long and Short Percentage of the latest report. The line chart shows if the Commercials, Institutionals and Retail Traders are more long biased (value above 50) or more short biased (value below 50).
The COT Report is only published weekly. This should not be used as an entry indicator, but can help to find market bottoms/top and the trend of the market.
Bitfinex Shorts StratOverview
This strat applies the data from BITFINEX:USDSHORTS to the RSI indicator in order to provide SHORT/LONG entries as the number of contracts goes up and down. Although Bitfinex has lost relevance over the years its generally considered an exchange dominated by smart money rather than retail. I'd like to see if any insights can be gained by following their trading behaviour.
How to use
Select the underlying security you wish to trade and load the indicator. Select the appropriate short security by searching in the Bitfinex Short Symbol. RSI settings apply to short symbol not the actual asset. Strategy shorts the underlying asset when shorts rise and longs when they drop. The shorts symbol will follow the value of the loaded chart. Works best on 4 hour chart.
Why use shorts only rather than both long/shorts?
Bitfinex longs seem to be on a long-term uptrend accounting for 25x the number of shorts. Might be enormous confidence on part of the whales, but more likely reflects selling spot and buying perp. Given the size disparity and price action I don't think longs info is adding much.
Problems with script:
a) We don't really know the intentions of short players (e.g. speculation or hedging spot)
b) The script uses a decline in shorts as a long signal
c) RSI is a blunt tool there are probably better options for calculating high/lows in shorts
d) Shorts are accumulated both at highs and also when BTC price is already heavily trending down. This suggests some are speculative (at the highs) or protective/hedging during a decline
Takeaways:
Based on this strat Bitfinex whales are more wrong than right.
Results don't carry across well into altcoins using the accompanying short symbol. However, what is interesting is that applying the BITFINEX:BTCUSDSHORTS to altcoin charts does work pretty well.
Strat needs some refinement to control for entries under different circumstances.
Probably not a great idea to use this as a strategy in isolation, but highlights how Bitfinex whale behaviour is a good gauge to follow.
COT + ema + aux tickerPurpose: Create a script for backtesting the idea that COT can steer weekly Bias on Forex Market.
How does it works: the script use Commercials Delta Conctract, EMA of the selected ticker, EMA of 2 auxiliary tickers (e.g. correlated ticker) to generates buy and sell signals, it allows to include or not each of these.
If you use all the indicator, The buy or sell signals are generated following that rules:
(Example for buy signals on GBPCAD)
1) Commercials add net contract to GBP futures + remove net contract to CAD
2) EMA of GBPCAD is rising
3) EMA of 1st aux ticker is rising (or decline if select inv option)
4) EMA of 2nd aux ticker is rising (or decline if select inv option)
The scripts set the stop at low of the week for long orders and high of the week for shorts.
The exit strategy is to exit at first week of profit
How could you use it:
1) Choose your FX Ticker e.g. GBPCAD and set 1W TimeFrame
2) Select ticker in the strategy setting, remember to select the currency in right order, if you want to study GBP CAD 1st currency is GBP and 2nd CAD
3) Choose if you want to use EMA (and its period of calculation)
4) Choose if you want to use a aux ticker, the direction, and the relative ema period
What could be better;
1) you can just buy on begin of the week.
2) the exit strategy isn't best you can do
3) No level of delta contract is consider, its generate a buy signial also for 1 contract in the right direction
For any question, suggestion of improvemet, ideas, insult:) write to me
It all started from a script i find here on tradingview that extract COT data. Don't remember the name of that guy but Thanks a lot.
My English isn't perfect but i hope you can understand as well.
