ATR Bands with ATR Cross + InfoTableOverview
This Pine Script™ indicator is designed to enhance traders' ability to analyze market volatility, trend direction, and position sizing directly on their TradingView charts. By plotting Average True Range (ATR) bands anchored at the OHLC4 price, displaying crossover labels, and providing a comprehensive information table, this tool offers a multifaceted approach to technical analysis.
Key Features:
ATR Bands Anchored at OHLC4: Visual representation of short-term and long-term volatility bands centered around the average price.
OHLC4 Dotted Line: A dotted line representing the average of Open, High, Low, and Close prices.
ATR Cross Labels: Visual cues indicating when short-term volatility exceeds long-term volatility and vice versa.
Information Table: Displays real-time data on market volatility, calculated position size based on risk parameters, and trend direction relative to the 20-period Smoothed Moving Average (SMMA).
Purpose
The primary purpose of this indicator is to:
Assess Market Volatility: By comparing short-term and long-term ATR values, traders can gauge the current volatility environment.
Determine Optimal Position Sizing: A calculated position size based on user-defined risk parameters helps in effective risk management.
Identify Trend Direction: Comparing the current price to the 20-period SMMA assists in determining the prevailing market trend.
Enhance Decision-Making: Visual cues and real-time data enable traders to make informed trading decisions with greater confidence.
How It Works
1. ATR Bands Anchored at OHLC4
Average True Range (ATR) Calculations
Short-Term ATR (SA): Calculated over a 9-period using ta.atr(9).
Long-Term ATR (LA): Calculated over a 21-period using ta.atr(21).
Plotting the Bands
OHLC4 Dotted Line: Plotted using small circles to simulate a dotted line due to Pine Script limitations.
ATR(9) Bands: Plotted in blue with semi-transparent shading.
ATR(21) Bands: Plotted in orange with semi-transparent shading.
Overlap: Bands can overlap, providing visual insights into changes in volatility.
2. ATR Cross Labels
Crossover Detection:
SA > LA: Indicates increasing short-term volatility.
Detected using ta.crossover(SA, LA).
A green upward label "SA>LA" is plotted below the bar.
SA < LA: Indicates decreasing short-term volatility.
Detected using ta.crossunder(SA, LA).
A red downward label "SA LA, then the market is considered volatile.
Display: Shows "Yes" or "No" based on the comparison.
b. Position Size Calculation
Risk Total Amount: User-defined input representing the total capital at risk.
Risk per 1 Stock: User-defined input representing the risk associated with one unit of the asset.
Purpose: Helps traders determine the appropriate position size based on their risk tolerance and current market volatility.
c. Is Price > 20 SMMA?
SMMA Calculation:
Calculated using a 20-period Smoothed Moving Average with ta.rma(close, 20).
Logic: If the current close price is above the SMMA, the trend is considered upward.
Display: Shows "Yes" or "No" based on the comparison.
How to Use
Step 1: Add the Indicator to Your Chart
Copy the Script: Copy the entire Pine Script code into the TradingView Pine Editor.
Save and Apply: Save the script and click "Add to Chart."
Step 2: Configure Inputs
Risk Parameters: Adjust the "Risk Total Amount" and "Risk per 1 Stock" in the indicator settings to match your personal risk management strategy.
Step 3: Interpret the Visuals
ATR Bands
Width of Bands: Wider bands indicate higher volatility; narrower bands indicate lower volatility.
Band Overlap: Pay attention to areas where the blue and orange bands diverge or converge.
OHLC4 Dotted Line
Serves as a central reference point for the ATR bands.
Helps visualize the average price around which volatility is measured.
ATR Cross Labels
"SA>LA" Label:
Indicates short-term volatility is increasing relative to long-term volatility.
May signal potential breakout or trend acceleration.
"SA 20 SMMA?
Use this to confirm trend direction before entering or exiting trades.
Practical Example
Imagine you are analyzing a stock and notice the following:
ATR(9) Crosses Above ATR(21):
A green "SA>LA" label appears.
The info table shows "Yes" for "Is ATR-based price volatile."
Position Size:
Based on your risk parameters, the position size is calculated.
Price Above 20 SMMA:
The info table shows "Yes" for "Is price > 20 SMMA."
Interpretation:
The market is experiencing increasing short-term volatility.
The trend is upward, as the price is above the 20 SMMA.
You may consider entering a long position, using the calculated position size to manage risk.
Customization
Colors and Transparency:
Adjust the colors of the bands and labels to suit your preferences.
Risk Parameters:
Modify the default values for risk amounts in the inputs.
Moving Average Period:
Change the SMMA period if desired.
Limitations and Considerations
Lagging Indicators: ATR and SMMA are lagging indicators and may not predict future price movements.
Market Conditions: The effectiveness of this indicator may vary across different assets and market conditions.
Risk of Overfitting: Relying solely on this indicator without considering other factors may lead to suboptimal trading decisions.
Conclusion
This indicator combines essential elements of technical analysis to provide a comprehensive tool for traders. By visualizing ATR bands anchored at the OHLC4, indicating volatility crossovers, and providing real-time data on position sizing and trend direction, it aids in making informed trading decisions.
Whether you're a novice trader looking to understand market volatility or an experienced trader seeking to refine your strategy, this indicator offers valuable insights directly on your TradingView charts.
Code Summary
The script is written in Pine Script™ version 5 and includes:
Calculations for OHLC4, ATRs, Bands, SMMA:
Uses built-in functions like ta.atr() and ta.rma() for calculations.
Plotting Functions:
plotshape() for the OHLC4 dotted line.
plot() and fill() for the ATR bands.
Crossover Detection:
ta.crossover() and ta.crossunder() for detecting ATR crosses.
Labeling Crossovers:
label.new() to place informative labels on the chart.
Information Table Creation:
table.new() to create the table.
table.cell() to populate it with data.
Acknowledgments
ATR and SMMA Concepts: Built upon standard technical analysis concepts widely used in trading.
Pine Script™: Leveraged the capabilities of Pine Script™ version 5 for advanced charting and analysis.
Note: Always test any indicator thoroughly and consider combining it with other forms of analysis before making trading decisions. Trading involves risk, and past performance is not indicative of future results.
Happy Trading!
Pesquisar nos scripts por "tradingview+筹码结构"
Trading Ranges + ZScoreOverview
The "Trading Ranges + ZScore" script is a versatile technical indicator developed for TradingView. This tool combines two powerful concepts—price ranges and Z-Score analysis—to help traders identify potential trend reversals, overbought/oversold conditions, and trend strength. The script dynamically calculates price ranges based on recent price action and utilizes Z-Score to detect deviations from a statistical norm, providing valuable insights for decision-making in both ranging and trending markets.
Features
Price Ranges: Calculates dynamic upper and lower price boundaries based on volatility and market structure.
Z-Score Oscillator: A statistical measure that highlights overbought/oversold conditions based on the deviation from a moving average.
Trend Detection: Identifies trend continuation or reversal points by comparing current price action against historical levels.
Customizable Alerts: Generates visual signals (diamonds and X crosses) for potential long/short entries and exits.
Visual Representation: Colors the bars based on Z-Score and trend direction, enhancing the chart’s readability and signal clarity.
Customizable Parameters: The script allows users to fine-tune perception length, analysis period, factor multiplier, and oscillator thresholds to fit different market conditions.
Key Input Parameters
Perception: The length used for calculating highest/lowest price points (default: 20).
Analysis: The length used for calculating the moving average and volatility (default: 100).
Factor: A multiplier to adjust the width of the price ranges (default: 2.0).
Oscillator Threshold: The overbought/oversold threshold for the Z-Score oscillator (default: 70).
Trend Filter: A boolean switch that filters signals based on trend direction.
Fill Zones: Option to color-fill between price levels when certain conditions are met.
Bullish/Bearish/Neutral Colors: Customizable colors for bullish, bearish, and neutral signals.
How It Works
Price Ranges Calculation:
The script calculates five levels: two upper boundaries, the average price level, and two lower boundaries. These levels are based on the highest/lowest prices over a user-defined period and adjusted by volatility (Average True Range).
When the price crosses either of these levels, it suggests a significant change in market direction, potentially indicating a trend reversal.
Z-Score Oscillator:
The Z-Score is a statistical measurement of a price's position relative to its moving average. The indicator calculates two variations:
Z-Score based on the absolute difference between the price and the moving average.
Z-Score based on standard deviation.
These oscillators help detect extreme conditions where the price is likely to revert (overbought/oversold zones).
Trend Detection and Signals:
The indicator generates potential buy/sell signals when the price crosses the predefined levels or based on the fast Z-Score crossing the overbought/oversold thresholds.
Weak long/short signals are shown when the faster Z-Score oscillator reaches extreme levels but trend filters are applied to avoid noise.
Bar Colors and Signal Shapes:
Bar colors change dynamically to reflect the trend direction and Z-Score conditions. Signals for potential trades are displayed using diamonds and X crosses, making it easy to spot opportunities visually.
Visuals and Plots
Bar Colors: Changes the bar color based on Z-Score and trend direction.
Z-Score Plot: Displays two Z-Score oscillators, the standard and a faster one for detecting quicker price deviations.
Overbought/Oversold Zones: Highlighted by upper and lower thresholds of the Z-Score.
Long/Short Signals: Uses diamond-shaped markers for strong long/short signals and X-shaped markers for weaker signals.
Dynamic Range Lines: Plots lines for key price levels (upper/lower boundaries, mid-range) based on the dynamic range calculations.
Usage Guide
Identify Overbought/Oversold Conditions: Look for the Z-Score reaching extreme positive or negative values. When combined with trend signals, these conditions often point to a potential reversal.
Follow the Trend: Use the trend filter option to focus only on trades in the direction of the prevailing trend, reducing false signals in ranging markets.
Watch for Range Breakouts: Pay attention to the upper and lower boundaries. Price crossing these levels often signals the start of a new trend or a major price movement.
Adjust Parameters: Tailor the perception length, analysis length, and multiplier to suit different asset classes or timeframes.
Customization
You can adjust the key parameters to adapt the indicator to different markets or personal trading preferences:
- Perception & Analysis Lengths: Control the sensitivity of the price range calculations.
- Factor Multiplier: Adjusts the width of the ranges, with higher values indicating larger zones.
- Oscillator Threshold: Modify the overbought/oversold levels to suit different market volatility.
- Trend Filter: Toggle on/off to focus on trend-following strategies or range-bound conditions.
- Visual Options: Customize colors for bullish, bearish, and neutral signals, as well as enable/disable the zone fills.
Common Volume Spike Indicator with Price Color on SpikeIndicator Name: Common Volume Spike Indicator with Price Color on Spike
Description:
The “Common Volume Spike Indicator with Price Color on Spike” is designed to detect significant volume spikes and highlight them on the chart. It not only identifies moments when the trading volume exceeds a certain threshold but also colors the price bars based on price movement during these spikes.
Key Features:
• Volume Spike Detection: Detects volume spikes when the current volume exceeds a specified multiple of the average volume over a user-defined lookback period.
• Dynamic Volume Break: Highlights bars where the volume exceeds a threshold, dynamically calculated as a multiple of the average volume (default is 10x the average volume).
• Price Color on Volume Spike: When a volume spike occurs, bars are colored green if the price closes higher than the previous bar, and red if the price closes lower. This feature helps traders easily identify significant price movements during high-volume periods.
• Customizable Parameters:
• Threshold Multiplier: Adjust the sensitivity of volume spike detection.
• Lookback Period: Define the period over which the average volume is calculated.
• Volume Break Multiplier: Set a multiplier for the average volume to identify extreme volume breaks.
This indicator is suitable for traders who want to quickly spot critical market events driven by significant increases in volume. It helps to visualize both the volume activity and the corresponding price movement, providing an additional layer of market insight.
How to Use:
1. Green Bars: When the volume spike condition is met and the price closes higher than the previous bar, the bar is colored green.
2. Red Bars: When the volume spike condition is met and the price closes lower than the previous bar, the bar is colored red.
3. Blue Bars: Indicates a significant volume break, where the current volume exceeds a specified multiple of the average volume (default: 10x).
Ideal for intraday and swing traders who rely on volume and price action for market entries and exits. This indicator works well across different asset classes, including stocks, forex, and cryptocurrencies.
You can adjust the input parameters to fit your specific trading strategy and timeframe.
Disclaimer: This indicator is a tool to help with market analysis and should not be considered financial advice. Always perform your own due diligence before making any trading decisions.
This description outlines the key functionality and how the indicator can benefit traders on TradingView.
Open-Close Absolute Difference with Threshold CountsThe Open-Close Absolute Difference with Threshold Counts indicator is a versatile tool designed to help traders analyze the volatility and price movements within any given timeframe on their charts. This indicator calculates the absolute difference between the open and close prices for each bar, providing a clear visualization through a color-coded histogram.
Key features include:
• Timeframe Flexibility: Utilizes the current chart’s timeframe, whether it’s a 5-minute, hourly, or daily chart.
• Custom Thresholds: Allows you to set up to four custom threshold levels (Thresholds A, B, C, and D) with default values of 10, 15, 25, and 35, respectively.
• Period Customization: Enables you to define the number of bars (N) over which the indicator calculates the counts, with a default of 100 bars.
• Visual Threshold Lines: Plots horizontal dashed lines on the histogram representing each threshold for easy visual reference.
• Dynamic Counting: Counts and displays the number of times the absolute difference is less than or greater than each threshold within the specified period.
• Customizable Table Position: Offers the flexibility to position the results table anywhere on the chart (e.g., Top Right, Bottom Left).
How It Works:
1. Absolute Difference Calculation:
• For each bar on the chart, the indicator calculates the absolute difference between the open and close prices.
• This difference is plotted as a histogram:
• Green Bars: Close price is higher than the open price.
• Red Bars: Close price is lower than the open price.
2. Threshold Comparison and Counting:
• Compares the absolute difference to each of the four thresholds.
• Determines whether the difference is less than or greater than each threshold.
• Utilizes the ta.sum() function to count occurrences over the specified number of bars (N).
3. Results Table:
• Displays a table with three columns:
• Left Column: Counts where the absolute difference is less than the threshold.
• Middle Column: The threshold value.
• Right Column: Counts where the absolute difference is greater than the threshold.
• The table updates dynamically and can be positioned anywhere on the chart according to your preference.
4. Threshold Lines on Histogram:
• Plots horizontal dashed lines at each threshold level.
• Each line is color-coded for distinction:
• Threshold A: Yellow
• Threshold B: Orange
• Threshold C: Purple
• Threshold D: Blue
How to Use:
1. Add the Indicator to Your Chart:
• Open the Pine Editor on TradingView.
• Copy and paste the provided code into the editor.
• Click “Add to Chart.”
2. Configure Settings:
• Number of Bars (N):
• Set the period over which you want to calculate the counts (default is 100).
• Thresholds A, B, C, D:
• Input your desired threshold values (defaults are 10, 15, 25, 35).
• Table Position:
• Choose where you want the results table to appear on the chart:
• Options include “Top Left,” “Top Center,” “Top Right,” “Bottom Left,” “Bottom Center,” “Bottom Right.”
3. Interpret the Histogram:
• Observe the absolute differences plotted as a histogram.
• Use the color-coded bars to quickly assess whether the close price was higher or lower than the open price.
4. Analyze the Counts Table:
• Review the counts of occurrences where the absolute difference was less than or greater than each threshold.
• Use this data to gauge volatility and price movement intensity over the specified period.
5. Visual Reference with Threshold Lines:
• Refer to the horizontal dashed lines on the histogram to see how the absolute differences align with your thresholds.
Example Use Case:
Suppose you’re analyzing a 5-minute chart for a particular stock and want to understand its short-term volatility:
• Set the Number of Bars (N) to 50 to analyze the recent 50 bars.
• Adjust Thresholds based on the typical price movements of the stock, e.g., Threshold A: 0.5, Threshold B: 1.0, Threshold C: 1.5, Threshold D: 2.0.
• Position the Table at the “Top Right” for easy viewing.
By doing so, you can:
• Quickly see how often the stock experiences significant price movements within 5-minute intervals.
• Make informed decisions about entry and exit points based on the volatility patterns.
• Customize the thresholds and periods as market conditions change.
Benefits:
• Customizable Analysis: Tailor the indicator to fit various trading styles and timeframes.
• Quick Visualization: Instantly assess market volatility and price movement direction.
• Enhanced Decision-Making: Use the counts and visual cues to make more informed trading decisions.
• User-Friendly Interface: Simple configuration and clear display of information.
Note: Always test the indicator with different settings to find the configuration that best suits your trading strategy. This indicator should be used as part of a comprehensive analysis and not as the sole basis for trading decisions.
Ichimoku Cloud Crosses_AITIchimoku Cloud Crosser_AIT
The "Ichimoku Cloud Crosses_AIT" indicator is designed to leverage the Ichimoku Cloud components, focusing on the crossovers between the Tenkan-sen and Kijun-sen lines. This indicator visually displays these crossovers on the price chart to help traders identify potential long and short trading opportunities.
1. Indicator Components
Ichimoku Cloud Elements
Tenkan-sen (Conversion Line): A short-term trend indicator. It is the midpoint of the highest high and the lowest low over a specified period (tenkanLength). In this indicator, the default period is set to 21.
Kijun-sen (Base Line): A medium-term trend indicator. It is the midpoint of the highest high and the lowest low over the specified period (kijunLength). In this indicator, the default period is set to 120.
Senkou Span A and B: These components are part of the traditional Ichimoku Cloud, but they are not directly plotted in this version of the indicator.
Chikou Span (Lagging Span): This component is included in the calculation but is not plotted in this indicator version.
2. Signal Conditions
Long Signal
Condition: A long signal is generated when the Tenkan-sen crosses above the Kijun-sen.
Visual Representation: Displayed as a yellow triangle below the price bar.
Short Signal
Condition: A short signal is generated when the Tenkan-sen crosses below the Kijun-sen.
Visual Representation: Displayed as a fuchsia triangle above the price bar.
3. How to Use the Indicator
Add the Indicator: Apply the "Ichimoku Cloud Crosses_AIT" indicator to your chart in TradingView.
Adjust Parameters: You can customize the periods for the Tenkan-sen, Kijun-sen, Senkou Span A, Senkou Span B, and Chikou Span in the indicator's settings.
Interpret the Signals:
Long Signal: Look for a yellow triangle below the bar, indicating a potential bullish crossover (Tenkan-sen crossing above Kijun-sen).
Short Signal: Look for a fuchsia triangle above the bar, indicating a potential bearish crossover (Tenkan-sen crossing below Kijun-sen).
Conclusion
The "Ichimoku Cloud Crosses_AIT" indicator provides a clear visualization of the crossovers between the Tenkan-sen and Kijun-sen lines on the price chart. This tool helps traders quickly identify potential bullish and bearish signals, making it a valuable addition to any trading strategy. Adjust the settings and parameters as needed to fit your specific trading style and market conditions.
Ichimoku Crosses_RSI_AITIchimoku Crosser_RSI_AIT
Overview
The "Ichimoku Cloud Crosses_AIT" strategy is a technical trading strategy that combines the Ichimoku Cloud components with the Relative Strength Index (RSI) to generate trade signals. This strategy leverages the crossovers of the Tenkan-sen and Kijun-sen lines of the Ichimoku Cloud, along with RSI levels, to identify potential entry and exit points for long and short trades. This guide explains the strategy components, conditions, and how to use it effectively in your trading.
1. Strategy Parameters
User Inputs
Tenkan-sen Period (tenkanLength): Default value is 21. This is the period used to calculate the Tenkan-sen line (conversion line) of the Ichimoku Cloud.
Kijun-sen Period (kijunLength): Default value is 120. This is the period used to calculate the Kijun-sen line (base line) of the Ichimoku Cloud.
Senkou Span B Period (senkouBLength): Default value is 52. This is the period used to calculate the Senkou Span B line (leading span B) of the Ichimoku Cloud.
RSI Period (rsiLength): Default value is 14. This period is used to calculate the Relative Strength Index (RSI).
RSI Long Entry Level (rsiLongLevel): Default value is 60. This level indicates the minimum RSI value for a long entry signal.
RSI Short Entry Level (rsiShortLevel): Default value is 40. This level indicates the maximum RSI value for a short entry signal.
2. Strategy Components
Ichimoku Cloud
Tenkan-sen: A short-term trend indicator calculated as the simple moving average (SMA) of the highest high and the lowest low over the Tenkan-sen period.
Kijun-sen: A medium-term trend indicator calculated as the SMA of the highest high and the lowest low over the Kijun-sen period.
Senkou Span A: Calculated as the average of the Tenkan-sen and Kijun-sen, plotted 26 periods ahead.
Senkou Span B: Calculated as the SMA of the highest high and lowest low over the Senkou Span B period, plotted 26 periods ahead.
Chikou Span: The closing price plotted 26 periods behind.
Relative Strength Index (RSI)
RSI: A momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is used to identify overbought or oversold conditions.
3. Entry and Exit Conditions
Entry Conditions
Long Entry:
The Tenkan-sen crosses above the Kijun-sen (bullish crossover).
The RSI value is greater than or equal to the rsiLongLevel.
Short Entry:
The Tenkan-sen crosses below the Kijun-sen (bearish crossover).
The RSI value is less than or equal to the rsiShortLevel.
Exit Conditions
Exit Long Position: The Tenkan-sen crosses below the Kijun-sen.
Exit Short Position: The Tenkan-sen crosses above the Kijun-sen.
4. Visual Representation
Tenkan-sen Line: Plotted on the chart. The color changes based on its relation to the Kijun-sen (green if above, red if below) and is displayed with a line width of 2.
Kijun-sen Line: Plotted as a white line with a line width of 1.
Entry Arrows:
Long Entry: Displayed as a yellow triangle below the bar.
Short Entry: Displayed as a fuchsia triangle above the bar.
5. How to Use
Apply the Strategy: Apply the "Ichimoku Cloud Crosses_AIT" strategy to your chart in TradingView.
Configure Parameters: Adjust the strategy parameters (Tenkan-sen, Kijun-sen, Senkou Span B, and RSI settings) according to your trading preferences.
Interpret the Signals:
Long Entry: A yellow triangle appears below the bar when a long entry signal is generated.
Short Entry: A fuchsia triangle appears above the bar when a short entry signal is generated.
Monitor Open Positions: The strategy automatically exits positions based on the defined conditions.
Backtesting and Live Trading: Use the strategy for backtesting and live trading. Adjust risk management settings in the strategy properties as needed.
Conclusion
The "Ichimoku Cloud Crosses_AIT" strategy uses Ichimoku Cloud crossovers and RSI to generate trading signals. This strategy aims to capture market trends and potential reversals, providing a structured way to enter and exit trades. Make sure to backtest and optimize the strategy parameters to suit your trading style and market conditions before using it in a live trading environment.
Long Signal Consecutive Lower Shadows - Correct Bars ColoredThis script identifies and highlights consecutive lower shadows on candlesticks in TradingView. A lower shadow is the portion of the candlestick between the low price and the lower of the open or close prices, often indicating price rejection at lower levels.
Key Features:
Threshold Settings: The user can customize the minimum length of the lower shadow (lowerShadowThreshold) and the maximum allowable price difference between consecutive lows (priceDifferenceThreshold).
Bar Coloring: When two consecutive bars meet the lower shadow condition, both bars are colored (default green).
Alerts: An alert is triggered when consecutive lower shadows are detected, allowing users to be notified of potential market reversals or buy opportunities.
Export Candles DataThis program is written in Pine Script (version 5) and is designed to retrieve candlestick data (open, high, low, and close prices) from the TradingView chart. The data is displayed in a table located in the upper right corner of the chart.
Main Functions of the Program:
Retrieving candlestick data: The program processes data for the last 10 candlesticks on the selected timeframe (e.g., hourly, minute, etc.) in the TradingView chart. For each candlestick, it retrieves:
Time of the candle's close
Opening price
Highest price during the period
Lowest price during the period
Closing price
Displaying data in a table: The data is presented in a compact table located in the upper right corner of the chart. The table contains 5 columns:
Time of the candle's close (formatted as yyyy-MM-dd HH:mm)
Opening price
Highest price
Lowest price
Closing price
Clearing the table every 50 bars: To prevent the table from becoming overloaded, it clears itself every 50 bars, starting from the first row and first column.
Data updates dynamically: The table dynamically updates, displaying the latest 10 candles, allowing traders to track current market changes.
Application:
This indicator is useful for traders who want a quick view of key candlestick parameters directly on the chart.
The indicator can be easily applied to any instrument or index in TradingView, such as the IMOEX index.
The table view makes it easy to quickly analyze market movements without needing to inspect each candle individually.
How the Program Works:
On each new bar, the program checks the current bar's index.
The program clears the table if 50 bars have passed since the last clearing.
It writes the data of the last 10 candlesticks into the table: the time of the candle's close, opening price, highest and lowest prices, and closing price.
The table updates automatically and continuously displays the latest data.
This indicator is suitable for both short-term and long-term market analysis, providing a convenient and efficient way to monitor price movements directly on the chart.
Sygnały Long/Short z SL i TPChoosing the Best Timeframe for Your Trading Strategy
The ideal timeframe for your trading strategy depends on several factors, including your trading style, risk preferences, and the goals of your strategy. Here’s a guide to different timeframes and their applications:
Timeframes and Their Uses:
Short-Term Timeframes (e.g., 5-minute, 15-minute):
Advantages: Provide more frequent signals and allow for quick responses to market changes. Ideal for day traders who prefer short, rapid trades.
Disadvantages: Can generate more false signals and be more susceptible to market noise. Requires more frequent attention and monitoring.
Medium-Term Timeframes (e.g., 1-hour, 4-hour):
Advantages: Offer fewer false signals compared to shorter timeframes. Suitable for swing traders looking to capture short-term trends.
Disadvantages: Fewer signals compared to shorter timeframes. Requires less frequent monitoring.
Long-Term Timeframes (e.g., daily, weekly):
Advantages: Provide more stable signals and are less affected by market noise. Ideal for long-term investors and those trading based on trends.
Disadvantages: Fewer signals, which may be less frequent but more reliable. Requires longer confirmation times.
Recommendation for Your Strategy:
For a strategy based on moving averages (MA) and generating long/short signals, the 5-minute and 15-minute timeframes might be suitable if:
You are a day trader and want to generate multiple signals per day.
You prefer quick responses to price changes and want to execute trades within a shorter timeframe.
For more stable signals and fewer false signals:
1-hour or 4-hour timeframes might be more appropriate.
Testing and Optimization:
Test Different Timeframes: See how your strategy performs on various timeframes to find the one that works best for you.
Adjust Parameters: Modify the lengths of the short and long SMAs, as well as the SL and TP levels, to fit the chosen timeframe.
How to Test:
Add the script to your chart on different timeframes on TradingView.
Observe the effectiveness and accuracy of the signals.
Adjust settings based on results and personal preferences.
Summary:
There isn’t a single “best” timeframe as it depends on your trading style and objectives. Start by testing on shorter timeframes if you are interested in day trading, and then explore how the strategy performs on longer timeframes for more stable signals.
Korean Exchange Relative Volume BarchartKorean Exchange Relative Volume Barchart
The Korean Exchange Relative Volume Barchart indicator compares the trading volume of a cryptocurrency on any symbol with the combined volumes of major Korean exchanges, Upbit and Bithumb. This tool helps traders understand regional trading activities, offering insights into market sentiment influenced by Korean markets.
For example 0.5 would indicate that the Korean exchanges are doing 50% of the volume of the selected symbol.
Features:
Exchange Selection: Include or exclude Upbit and Bithumb in the comparison.
Automatic Symbol Mapping: Automatically maps the current chart's symbol to equivalent symbols on Upbit and Bithumb.
Stacked Bar Chart Visualization: Plots a stacked bar chart showing the relative volume contributions of Binance, Upbit, and Bithumb.
Usage:
Add the Indicator: Apply it to a cryptocurrency chart on TradingView.
Configure Settings: Toggle inclusion of Upbit and Bithumb in the settings.
Interpret the Chart: The stacked bar chart displays the proportion of trading volumes from each exchange.
Notes:
Symbol Compatibility: Ensure the cryptocurrency is listed on the Korean exchanges for accurate comparison.
Data Accuracy: Volumes are compared in the same base currency (e.g., BTC), so no exchange rate conversion is necessary.
Enhance your trading analysis by understanding the influence of Korean exchanges on cryptocurrency volumes with the Korean Exchange Volume Comparison indicator.
Password Generator by Chervolino [CHE]Enhancing Password Security with Pine Script: A Deep Dive into Brute-Force Attack Prevention
1. Introduction: The Importance of Password Security
Why Password Security Matters:
In today’s digital age, protecting sensitive information through strong passwords is vital. Weak passwords are vulnerable to brute-force attacks, where attackers try every possible character combination until they guess the correct one.
What is Pine Script?
Pine Script is a scripting language developed by TradingView. While mainly used for financial analysis and strategy creation, its versatility allows us to explore other domains, such as password generation and security analysis.
2. Understanding Brute-Force Attacks
What is a Brute-Force Attack?
A brute-force attack systematically tries every possible combination of characters until the correct password is found. The longer and more complex the password, the more secure it is.
Types of Characters in Passwords:
Lowercase Letters (26 characters): Examples include 'a' to 'z'.
Uppercase Letters (26 characters): Examples include 'A' to 'Z'.
Digits (10 characters): Examples include '0' to '9'.
Special Characters: Characters such as '!@#$%^&*' add further complexity to a password.
3. The Role of Password Length in Security
Why Does Password Length Matter?
The number of possible combinations grows exponentially as the length of the password increases.
For example, a password made of only lowercase letters has 26 possible characters. A 7-character password in this case has 26 raised to the power of 7 possible combinations, which equals about 8 billion possibilities.
In comparison, if uppercase letters are included, the possible combinations jump to 52 raised to the power of 7, resulting in over 1 trillion combinations.
Time to Crack a Password:
Assuming a computer can test 2.15 billion passwords per second:
A 7-character password with only lowercase letters can be cracked in about 3.74 seconds.
If uppercase letters are added, it takes approximately 8 minutes.
Adding numbers and special characters makes the cracking time increase further to hours or even days.
4. Password Strength Analysis Using Pine Script
How Pine Script Helps in Password Analysis:
Pine Script can simulate password strength by generating random passwords and calculating how long it would take for a brute-force attack to crack them based on different character combinations and lengths.
We can experiment with using different types of characters (uppercase, lowercase, digits, special characters) and varying the length of the password to estimate the security.
For example:
A password consisting only of lowercase letters would take just a few seconds to crack.
By adding uppercase letters, the time increases to several minutes.
Including digits and special characters can make a password secure for many hours, or even days, depending on the length.
5. Results: Time to Crack Passwords
Here’s a textual summary of how different passwords can be cracked based on their composition and length:
Password with Lowercase Letters Only:
Length: 8 characters
Time to Crack: Less than 1 second.
Password with Uppercase and Lowercase Letters:
Length: 8 characters
Time to Crack: Approximately 24 hours.
Password with Uppercase, Lowercase, and Digits:
Length: 8 characters
Time to Crack: Around 27 minutes.
Password with Uppercase, Lowercase, Digits, and Special Characters:
Length: 12 characters
Time to Crack: Several hundred years.
From these examples, you can see that adding complexity to a password by using a variety of character types and increasing its length exponentially increases the time required to crack it.
6. Best Practices for Password Security
Use a mix of character types: Include lowercase and uppercase letters, digits, and special characters to increase complexity.
Increase the password length: The longer the password, the more difficult it is to crack.
Avoid predictable patterns: Refrain from using common words, dates, or sequential characters like "123456" or "password123".
Use a password manager: Tools like 1Password or LastPass can help store and manage complex passwords securely, so you only need to remember one master password.
7. Conclusion
Password length and complexity are the two most important factors in protecting against brute-force attacks.
Pine Script offers a powerful way to simulate password generation and security analysis, giving you insights into how secure your password is and how long it would take to crack it.
By applying these techniques, you can ensure that your passwords are strong and secure, making brute-force attacks infeasible.
Rainbow Histogram v1.01Sure! Here’s a compelling English version of the article for your TradingView post:
---
### 🌈 **Introducing Rainbow Histogram: A Fusion of EMA and MA for Enhanced Trading Analysis**
**Hello Traders,**
I’m excited to introduce a fresh concept that combines technical analysis techniques into a new indicator called **Rainbow Histogram**. This innovative tool blends Exponential Moving Averages (EMA) and Moving Averages (MA) to provide you with a powerful and accurate tool for making trading decisions.
#### **🎨 What is Rainbow Histogram?**
The Rainbow Histogram is designed to help you identify market trends and signal precise entry and exit points by blending EMA and MA into a colorful "Rainbow" display. This visual approach enhances your ability to spot trend strength and direction with clarity.
#### **📈 How Does Rainbow Histogram Work?**
1. **Exponential Moving Average (EMA):** Captures short-term trends and reacts quickly to price changes.
2. **Moving Average (MA):** Tracks long-term trends and provides a broader view of the market direction.
**Rainbow Histogram** uses the combination of EMA and MA to create a histogram that shows the difference between these two averages in distinct colors. This makes it easy to visualize trend changes and market momentum.
#### **🔧 Setting It Up**
1. **EMA:** Adjust the EMA settings based on your trading timeframe and strategy (e.g., EMA 9, EMA 21).
2. **MA:** Set the MA parameters to capture long-term trends (e.g., MA 50, MA 200).
#### **🌟 Why Use Rainbow Histogram?**
- **Simplified Analysis:** Quickly identify trends and their strength with a clear visual representation.
- **Distinct Colors:** Differentiate between EMA and MA with vibrant colors for easy interpretation.
- **Precise Signals:** Get clear buy and sell signals based on histogram changes.
#### **📥 Get Started**
Add **Rainbow Histogram** to your TradingView charts by searching for the script in TradingView’s library or set it up manually using the recommended settings.
#### **📝 In Summary**
**Rainbow Histogram** is a unique tool that simplifies trend analysis and enhances accuracy by merging EMA and MA into a single, colorful indicator. Use this tool to refine your trading strategy and make more informed financial decisions.
If you have any questions or feedback about **Rainbow Histogram**, feel free to comment below or send me a message!
**Happy Trading!** 🌟
---
I hope this version effectively captures attention and engages your audience!
Composite Momentum█ Introduction
The Composite Momentum Indicator is a tool we came across that we found to be useful at detecting implied tops and bottoms within quick market cycles. Its approach to analyzing momentum through a combination of moving averages and summation techniques makes it a useful addition to the range of available indicators on TradingView.
█ How It Works
This indicator operates by calculating the difference between two moving averages—one fast and one slow, which can be customized by the user. The difference between these two averages is then expressed as a percentage of the fast moving average, forming the core momentum value which is then smoothed with an Exponential Moving Average is applied. The smoothed momentum is then compared across periods to identify directional changes in direction
Furthermore, the script calculates the absolute differences between consecutive momentum values. These differences are used to determine periods of momentum acceleration or deceleration, aiming to establish potential reversals.
In addition to tracking momentum changes, the indicator sums positive and negative momentum changes separately over a user-defined period. This summation is intended to provide a clearer picture of the prevailing market bias—whether it’s leaning towards strength or weakness.
Finally, the summed-up values are normalized to a percentage scale. This normalization helps in identifying potential tops and bottoms by comparing the relative strength of the momentum within a given cycle.
█ Usage
This indicator is primarily useful for traders who focus on detecting quick cycle tops and bottoms. It provides a view of momentum shifts that can signal these extremes, though it’s important to use it in conjunction with other tools and market analysis techniques. Given its ability to highlight potential reversals, it may be of interest to those who seek to understand short-term market dynamics.
█ Disclaimer
This script was discovered without any information about its author or original intent but was nonetheless ported from its original format that is available publicly. It’s provided here for educational purposes and should not be considered a guaranteed method for market analysis. Users are encouraged to test and understand the indicator thoroughly before applying it in real trading scenarios.
Enhanced Local Polynomial Regression [Yosiet]Local Polynomial Regression (LPR) is an advanced statistical method that offers a flexible approach to estimating the underlying trend in financial time series data.
The Mathematical Explanation
The core idea of LPR is to fit a polynomial of degree p at each point x using weighted least squares. The weight of each data point decreases with its distance from x, controlled by a kernel function and a bandwidth parameter.
The general form of the local polynomial estimator is:
β̂(x) = argmin Σ K((Xi - x) / h) (Yi - β0 - β1(Xi - x) - ... - βp(Xi - x)^p)^2
Where:
β̂(x) is the vector of estimated coefficients
K is the kernel function
h is the bandwidth
Xi and Yi are the predictor and response variables
p is the degree of the polynomial
Our implementation uses the Epanechnikov kernel:
K(u) = 3/4 * (1 - u^2) for |u| ≤ 1, 0 otherwise
The Implementation
This script implements LPR for the easier way to interpret its values with the following key components:
Input Parameters: Can adjust the lookback period, bandwidth, and polynomial degree.
Kernel Function: The Epanechnikov kernel is used for weighting.
LPR Function: Implements the core algorithm using matrix operations.
Signal Generation: Generates buy/sell signals based on crossovers of smoothed price and LPR results.
How to Use
Apply the indicator to your chart in TradingView.
Adjust the input parameters:
Lookback Period: Controls how many past bars are considered.
Bandwidth: Affects the smoothness of the regression line.
Polynomial Degree: Determines the complexity of the local fit.
Signal Smoothing Length: Adjusts the responsiveness of buy/sell signals.
Monitor buy/sell signals for potential trade entries.
Limitations
Sensitivity to Parameters: The choice of bandwidth and polynomial degree significantly impacts the results.
Lag: Like all trend-following indicators, LPR may lag behind rapid price movements.
Edge Effects: The indicator may be less reliable at the edges of the data (recent bars).
Recommendations
Parameter Optimization: Experiment with different lookback periods, bandwidths, and polynomial degrees to find the best fit for your trading style and timeframe.
Combine with Other Indicators: Use LPR in conjunction with momentum oscillators or volume indicators for confirmation.
Multiple Timeframes: Apply LPR on different timeframes to gain a more comprehensive view of the trend.
Avoid Overfitting: Be cautious of using high polynomial degrees, as they may lead to overfitting on historical data.
Consider Market Conditions: LPR works best in trending markets; be aware of its limitations in ranging or highly volatile conditions.
Backtest Thoroughly: Always backtest strategies based on LPR across different market conditions before live trading.
Conclusion
Local Polynomial Regression offers a sophisticated approach to trend analysis in financial markets. By providing a flexible, adaptive trend line, it can help traders identify potential entry and exit points with greater precision than traditional moving averages. However, like all technical indicators, it should be used as part of a comprehensive trading strategy that includes proper risk management and consideration of fundamental factors.
if you have an strategy or idea and need to make it real through an indicator or trading bot, you can DM or comment
Dynamic Rate of Change OscillatorDynamic Rate of Change (RoC) Oscillator with Color-Coded Histogram
Detailed Description for Publication
The Dynamic Rate of Change (RoC) Oscillator with Color-Coded Histogram is a sophisticated technical analysis tool designed to enhance your understanding of market momentum. Created using Pine Script v5 on the TradingView platform, this indicator integrates multiple Rate of Change (RoC) calculations into a unified momentum oscillator. The resulting data is displayed as a color-coded histogram, providing a clear visual representation of momentum changes.
Key Features and Functionality
Multi-Length RoC Calculation:
Short-term RoC: Calculated over a user-defined period (shortRoCLength), this captures variations in price momentum over a shorter duration, offering insights into the immediate price action.
Long-term RoC: This uses a longer period (longRoCLength) to provide a broader view of momentum, helping to smooth out short-term fluctuations and highlight more established trends.
Mid-term RoC: A weighted average of the short-term and long-term RoCs, the mid-term RoC (midRoCWeight) allows you to balance sensitivity and stability in the oscillator's behavior.
Weighted RoC Calculation:
The indicator calculates a single weighted average RoC by integrating short-term, long-term, and mid-term RoCs. The weighting factor can be adjusted to prioritize different market dynamics according to the trader’s strategy. This flexible approach enables the oscillator to remain applicable across diverse market conditions.
Oscillator Calculation and Smoothing:
The oscillator value is computed by subtracting a 14-period Weighted Moving Average (WMA) from the weighted RoC, which helps to normalize the oscillator, making it more responsive to changes in momentum.
The oscillator is then smoothed using a Simple Moving Average (SMA) over a user-defined period (smoothLength). This process reduces market noise, making the oscillator's signals clearer and easier to interpret.
Color-Coded Histogram:
The smoothed oscillator is displayed as a histogram, which is color-coded to reflect bullish or bearish momentum. You can customize the colors to match your charting style, with green typically representing upward momentum and red representing downward momentum.
The color-coded histogram allows for quick visual identification of momentum changes on the chart, aiding in your market analysis.
Zero-Line Reference:
A horizontal line at the zero level is plotted as a reference point. This zero-line helps in identifying when the histogram shifts from positive to negative or vice versa, which can be useful in understanding momentum shifts.
The zero-line offers a straightforward visual cue, making it easier to interpret the oscillator's signals in relation to market movements.
Customization and Versatility
The Dynamic RoC Oscillator with Histogram is designed with flexibility in mind, making it suitable for a wide range of trading styles, from short-term trading to longer-term analysis. Users have the ability to fine-tune the indicator’s input parameters to align with their specific needs:
Adjustable RoC Periods: Customize the short-term and long-term RoC lengths to match the timeframes you focus on.
Weighted Sensitivity: Adjust the mid-term RoC weight to emphasize different aspects of momentum according to your analysis approach.
Smoothing Options: Modify the smoothing moving average length to control the sensitivity of the oscillator, allowing you to balance responsiveness with noise reduction.
Use Cases
Momentum Analysis: Gain a clearer understanding of momentum changes within the market, which can aid in the evaluation of market trends.
Trend Analysis: The oscillator can help in assessing trends by highlighting when momentum is increasing or decreasing.
Chart Visualization: The color-coded histogram provides a visually intuitive method for monitoring momentum, helping you to more easily interpret market behavior.
Conclusion
The Dynamic Rate of Change (RoC) Oscillator with Color-Coded Histogram is a versatile and powerful tool for traders who seek a deeper analysis of market momentum. With its dynamic calculation methods and high degree of customization, this indicator can be tailored to suit a variety of trading strategies. By integrating it into your TradingView charts, you can enhance your technical analysis capabilities, gaining valuable insights into market momentum.
This indicator is easy to use and highly customizable, making it a valuable addition to any trader’s toolkit. Add it to your charts on the TradingView platform and start exploring its potential to enrich your market analysis.
Tare's Multi-Timeframe Market Heatmap
Tare's Multi-Timeframe Market Heatmap is a powerful tool designed to help traders quickly gauge market sentiment across multiple timeframes using a combination of RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) indicators. This indicator analyzes four customizable timeframes to determine whether the market is bullish or bearish, providing a visual heatmap to indicate the overall market direction and strength.
Key Features:
Multi-Timeframe Analysis: The indicator allows you to select up to four different timeframes (e.g., 5 minutes, 15 minutes, 30 minutes, 1 hour) to analyze the market's behavior comprehensively.
RSI and MACD Integration: By combining RSI and MACD indicators, the heatmap provides a more robust analysis, taking into account both momentum (RSI) and trend (MACD) indicators. This dual approach helps in identifying stronger and more reliable signals.
Visual Heatmap: The indicator plots a histogram that changes color and intensity based on the combined bullish or bearish strength across the selected timeframes:
Green: Indicates bullish strength, with a darker shade representing stronger bullish signals across multiple timeframes.
Red: Indicates bearish strength, with a darker shade representing stronger bearish signals across multiple timeframes.
Customizable Settings: You can customize the length settings for RSI and MACD, including the RSI period, MACD fast and slow lengths, and signal length, allowing for tailored analysis based on your trading strategy.
Signal Exposure for Other Strategies: The indicator exposes both bullish and bearish signals, which can be used as inputs for other custom strategies within TradingView. This feature allows seamless integration and enhances the versatility of your trading approach.
How to Use:
Adjust the timeframes and indicator settings in the indicator's input menu to match your trading style.
Observe the color and intensity of the histogram to understand the current market sentiment across the selected timeframes.
Utilize the exposed signals (bullish and bearish) in conjunction with other strategies or indicators for a more comprehensive trading system.
Tare's Multi-Timeframe Market Heatmap provides traders with a clear, concise, and customizable overview of market conditions, making it an essential tool for multi-timeframe analysis and decision-making.
Decline and Rise Detective [CHE]Decline and Rise Detective
TradingView Indicator (Best Timeframe: 1H or Higher)
1. Introduction
The "Decline and Rise Detective " is a TradingView indicator designed to identify the hours within a trading day that experience the largest price declines and rises. This indicator provides a visual representation of this data, offering traders valuable insights into the most frequent hours for significant price movements. It is most effective when used with a timeframe of 1 hour or greater.
2. Key Features of the Indicator
2.1. Display Options
Display Option: Users can choose between two display options:
Label: Displays the information as a text label directly on the chart.
Table: Displays the information in a table format in the top right corner of the chart.
2.2. Time Zone Settings
Time Zone: The indicator allows the user to manually set the time zone or use the exchange's time zone.
Time Zone Offset: Adjust the time zone via a UTC offset.
2.3. Day Change Detection
The indicator automatically detects the change between trading days to ensure data is correctly assigned.
3. Analysis of Price Declines and Rises
3.1. Calculation of Largest Declines and Rises
The indicator compares the high and low of each hour to determine the largest decline and rise within a trading day.
3.2. Frequency Counting
For each hour of the day, the number of times the largest declines and rises occur is counted to identify the hours with the most significant price movements.
3.3. Data Sorting
The hours are sorted by the number of occurrences of declines and rises to highlight the most frequent hours. This sorting was implemented using the MA Sorter function, inspired by Duyck's Array Sorter. Special thanks to Duyck for providing the Array Sorter on TradingView, which greatly influenced this feature
4. Interpretation and Trading Applications
4.1. Identifying High Volatility Periods
The hours identified by the indicator as having the most frequent and significant price movements are typically periods of high volatility. These periods are crucial for traders who seek to capitalize on market fluctuations.
4.2. Determining Optimal Trade Entries
Long Trades: The hours with the most significant price rises can be used to identify optimal times to enter long positions.
Short Trades: Conversely, the hours with the most significant price declines can indicate good opportunities for short trades.
4.3. Display of Top 5 Hours
The indicator shows the five hours with the most declines and rises.
Depending on the selected display option, this information is shown either as a text label or as a table in the chart.
4.4. Background Color
The background color of the chart changes at day change to clearly mark it.
5. Application of the Indicator
5.1. Trading Use
Traders can use the indicator to identify time windows with high volatility and adjust their trading strategies accordingly. This allows for more informed decisions on when to go long or short, depending on the market conditions during those hours.
5.2. Customization Options
Various input options allow the user to customize the indicator to fit personal needs and trading hours.
6. Summary
The "Decline and Rise Detective " indicator is a powerful tool for analyzing hourly price movements in the markets. By providing detailed information on the most frequent hours for significant price declines and rises, this indicator offers valuable insights into periods of high volatility. Traders can use this data to make more informed decisions on entering long or short trades. It is particularly effective when used with timeframes of 1 hour or greater.
Best regards and happy trading
Chervolino
Abnormal value check1. indicator settings
BB Length: Sets the period used for the Bollinger Band calculation. The default is 20 periods.
BB Multiplier: Sets the multiplier to be used in the Bollinger Band calculation. The default is 2.5 multiplier.
Equilibrium volume reset: Selects whether or not the volume should be reset if it is out of equilibrium. The default setting is reset. 2.
2. bollinger band calculation
This indicator calculates Bollinger Bands (upper and lower bands and a reference line) from price and volume data.
Bollinger Bands are indicators used to measure price and volume volatility and are identified as anomalies when prices break through the bands.
3. display of abnormal prices
Abnormal Buying Price (ABP): The background color changes when the price significantly exceeds the upper limit of the Bollinger Band. The color is green.
Abnormal Selling Price (ASP): The background color changes when the price is significantly below the lower limit of the Bollinger Band. The color is red.
Abnormal High Volume (AHV): The background color changes when the volume is significantly above the upper Bollinger Band. The color is white.
Abnormal Low Volume (ALV): The background color changes when the volume is significantly below the lower limit of the Bollinger Band. The color is yellow. 4.
4. display of signals
Abnormal Price Signal: A triangle signal is displayed when the price rises or falls compared to the previous data. The color is orange for an increase and purple for a decrease.
Volume Abnormal Signal: A triangle signal is displayed when volume is up or down compared to the previous data. Rises are colored orange and falls are colored purple. 5.
5. price and volume history display
RSAB_P: Displays price anomaly history. Rising prices are displayed in green, and falling prices in red.
RSAB_V: Displays the volume anomaly history. Green indicates an increase and red indicates a decrease. 6.
6. display of equilibrium
PPE: Displays a line indicating the state of volume balance. A positive volume balance is displayed in orange, and a negative volume balance is displayed in purple.
Summary of usage
Add indicator to chart: Add this Pine Script™ code as an indicator in TradingView.
Set parameters: Based on the settings above, adjust the values to suit your trading strategy and analysis.
See signals and color changes on the chart: Visually identify price and volume anomalies to help you make trading decisions.
This indicator uses Bollinger Bands to identify abnormal price and volume movements to help you improve your trading timing and strategies.
Commitment of Trader %RThis script is a TradingView Pine Script that creates a custom indicator to analyze Commitment of Traders (COT) data. It leverages the TradingView COT library to fetch data related to futures and options markets, processes this data, and then applies the Williams %R indicator to the COT data to assist in trading decisions. Here’s a detailed explanation of its components and functionality:
Importing and Configuration:
The script imports the COT library from TradingView and sets up tooltips to explain different input options to the user.
It allows the user to choose the mode for fetching COT data, which can be based on the root of the symbol, base currency, or quote currency.
Users can also input a specific CFTC code directly, instead of relying on automatic code generation.
Inputs and Parameters:
The script provides inputs to select the type of data (futures, options, or both), the type of COT data to display (long positions, short positions, etc.), and thresholds for the Williams %R indicator.
It also allows setting the period for the Williams %R calculation.
Data Request and Processing:
The dataRequest function fetches COT data for large traders, small traders, and commercial hedgers.
The script calculates the Williams %R for each type of trader, which measures overbought and oversold conditions.
Visualization:
The script uses background colors to highlight when the Williams %R crosses the specified thresholds for commercial hedgers.
It plots the COT data and Williams %R on the chart, with different colors representing large traders, small traders, and commercial hedgers.
Horizontal lines are drawn to indicate the upper and lower thresholds.
Display Information:
A table is displayed on the chart’s lower left corner showing the current COT data and CFTC code used.
Use of COT Report in Futures Trading
The COT report is a weekly publication by the Commodity Futures Trading Commission (CFTC) that provides insights into the positions held by different types of traders in the futures markets. This information is valuable for traders as it shows:
Market Sentiment: By analyzing the positions of commercial traders (often considered to be more informed), non-commercial traders (speculative traders), and small traders, traders can gauge market sentiment and potential future movements.
Contrarian Indicators: Large shifts in positions, especially when non-commercial traders hold extreme positions, can signal potential reversals or trends.
Research on COT Data and Price Movements
Several academic studies have examined the relationship between COT data and price movements in financial markets. Here are a few key works:
"The Predictive Power of the Commitment of Traders Report" by Jacob J. (2009):
This paper explores how changes in the positions of different types of traders in the COT report can predict future price movements in futures markets.
Citation: Jacob, J. (2009). The Predictive Power of the Commitment of Traders Report. Journal of Futures Markets.
"A New Look at the Commitment of Traders Report" by Mitchell, C. (2010):
Mitchell analyzes the efficacy of using COT data as a trading signal and its impact on trading strategies.
Citation: Mitchell, C. (2010). A New Look at the Commitment of Traders Report. Financial Analysts Journal.
"Market Timing Using the Commitment of Traders Report" by Kirkpatrick, C., & Dahlquist, J. (2011):
This study investigates the use of COT data for market timing and the effectiveness of various trading strategies based on the report.
Citation: Kirkpatrick, C., & Dahlquist, J. (2011). Market Timing Using the Commitment of Traders Report. Technical Analysis of Stocks & Commodities.
These studies provide insights into how COT data can be utilized for forecasting and trading decisions, reinforcing the utility of incorporating such data into trading strategies.
Buy-Sell-Hold RecommendationsDescription:
The indicator displays "recommendations" for the active symbol (Buy, Strong buy, Sell, Strong sell or Hold), based on the Tradingview's recommendations data. There are 3 presentations you can choose from:
- Bar -> displays a vertical/horizontal bar with sections for each rating
- Pie chart -> displays a pie chart with sections
- Table -> displays a table with score for each recommendation
Inputs:
- Display mode -> data presentation mode
- Position -> position of the bar/pie chart/table
- Highlight the highest rating -> recommendation(s) with highest score will be highlighted
- Buy, Strong buy, Sell, etc. -> colors of the "bar" sections
- Pixel Width, Pixel Height, etc. -> size of each "pixel" (cell) of the pie chart
- Resolution (X), Resolution (Y) -> how many pixels (cells) the pie chart has on each axis
- Inner area size (%) -> size of the empty space at the center of the pie chart
- Invert theme -> invert coloring scheme for "table" presentation mode
Notes:
- Tradingview seems to provide the recommendations only for major stocks
- Data is taken directly from Tradingview and is based on opinions of "analysts"
Multiple EMA Indicator [Pineify]TradingView Multiple EMA Indicator: A Comprehensive Trend Analysis Tool
The TradingView Multiple EMA Indicator is a powerful and versatile tool designed to provide traders with a comprehensive view of market trends across multiple timeframes. By incorporating five Exponential Moving Averages (EMAs) with customizable lengths and sources, this indicator offers a nuanced approach to trend analysis, suitable for both novice and experienced traders.
Key Features:
Five customizable EMAs for multi-timeframe analysis
Flexible source inputs for each EMA
Color-coded plots for easy visual interpretation
Overlay functionality for direct price action comparison
How It Works:
This indicator calculates and displays five separate EMAs on your chart, each with its own customizable length and source. The EMAs are color-coded for easy identification:
EMA-1: Red
EMA-2: Light Green
EMA-3: Light Blue
EMA-4: Purple
EMA-5: Yellow
By default, the indicator uses the following settings:
EMA-1: 10-period EMA of close price
EMA-2: 20-period EMA of close price
EMA-3: 50-period EMA of close price
EMA-4: 100-period EMA of close price
EMA-5: 200-period EMA of close price
However, users can easily adjust these settings to suit their specific trading strategies and preferences.
Trading Ideas and Insights:
The Multiple EMA Indicator offers several ways to analyze market trends and generate trading signals:
Trend Identification: The alignment of the EMAs can help identify the overall trend. When shorter-term EMAs are above longer-term EMAs, it suggests an uptrend, and vice versa for a downtrend.
Dynamic Support and Resistance: Each EMA can act as a dynamic support or resistance level. Price bouncing off these levels can indicate potential entry or exit points.
Crossovers: When a shorter-term EMA crosses above a longer-term EMA, it may signal a bullish trend change. Conversely, a bearish signal may occur when a shorter-term EMA crosses below a longer-term EMA.
Trend Strength: The spacing between the EMAs can indicate trend strength. Wide spacing suggests a strong trend, while narrow spacing or intertwining EMAs may indicate consolidation or a weakening trend.
Multi-Timeframe Analysis: By using different EMA lengths, traders can gain insights into short-term, medium-term, and long-term trends simultaneously.
How to Use the Indicator:
Add the indicator to your chart and adjust the input parameters as needed.
Observe the relative positions of the EMAs to identify the overall trend direction.
Look for potential entry signals when price or shorter-term EMAs cross above or below longer-term EMAs.
Use the EMAs as dynamic support and resistance levels for setting stop-loss and take-profit orders.
Combine the Multiple EMA Indicator with other technical analysis tools, such as oscillators or volume indicators, for more comprehensive trading decisions.
Customization Options:
The indicator offers extensive customization options, allowing traders to tailor it to their specific needs:
Adjust the length of each EMA to focus on different timeframes
Change the source of each EMA (e.g., close, open, high, low, HL2, HLC3, OHLC4)
Modify the color and line thickness of each EMA for better visibility
Conclusion:
The TradingView Multiple EMA Indicator is a versatile and powerful tool for trend analysis and trade decision-making. By providing a multi-faceted view of market trends, it enables traders to make more informed decisions based on a comprehensive understanding of price action across various timeframes.
Remember that while this indicator can be a valuable tool in your trading arsenal, it should not be used in isolation. Always combine it with other forms of analysis and proper risk management techniques for the best results.
We hope this indicator enhances your trading experience and contributes to your success in the markets. Happy trading!
Monte Carlo (Polyline Traceback) [Kioseff Trading]Hello!
This script "Monte Carlo (Polyline Traceback) " performs a Monte Carlo simulation using polylines!
By using polylines, and tracing back the initial simulation to its origin point, we can better replicate the ideal output of a Monte Carlo simulation!
Such as:
The image above shows the output of a simulation (image sourced outside TV).
With this script, and polyline capabilities, we can come quite close on TradingView.
The image above shows the indicator in action! Not bad considering the ideal output.
Of course, the script is quite heavy and tries its best to circumvent limitations :D
You might run into load time errors, in which case you might try applying the built-in setting "Force Script Load". This setting will cut-off the visuals for some simulations, but has a higher chance of passing load-time limitations!
As shown in the image above, you can select to only show worst-case and best-case simulations. Using this option will reduce chart lag and improve load times.
Features
Monte Carlo Simulation: Performs Monte Carlo simulation to generate multiple future paths.
Asset Price: Can simulate future asset prices based on historical log returns.
Statistical Methods: Offers two simulation methods—Gaussian (Normal) distribution and Bootstrapping.
Adjustable Parameters: Offers numerous user-adjustable settings like number of simulations, forecast length, and more.
Historical Data Points: Option to specify the amount of historical data to be used in the simulation (price).
Best/Worst Case: Allows you to show only the best case / worst case outcome (range) for all simulations!
Thank you!
Linear Regression ChannelLinear Regression Channel with Logarithmic Scale Option
This advanced Linear Regression Channel indicator offers traders a powerful tool for technical analysis, with unique features that set it apart from standard implementations.
Key Features:
Logarithmic Scale Option: One of the most distinctive aspects of this indicator is the ability to switch between classic and logarithmic scales. This feature is particularly valuable for long-term analysis, as it ensures that equal percentage changes are represented equally, regardless of the price level.
Flexible Start Date: Unlike many indicators that rely on a fixed number of periods, this tool allows users to set a specific start date and time. This feature provides precise control over the regression analysis timeframe, enhancing its adaptability to various trading strategies.
Customizable Channel Settings: Users can adjust the upper and lower deviation multipliers, allowing for fine-tuning of the channel width to suit different market conditions and trading styles.
Trend Strength Indicator: An optional feature that displays the strength of the trend based on the Pearson correlation coefficient, offering additional insight into the reliability of the current trend.
Comprehensive Visual Customization: The indicator offers extensive color and style options for the regression line, upper and lower channel lines, and fill areas, allowing traders to create a visually appealing and easy-to-read chart setup.
Extended Line Options: Users can choose to extend the regression lines to the left, right, or both, facilitating projection and analysis of future price movements.
Multiple Alert Conditions: The indicator includes four alert conditions for crossing the upper deviation, lower deviation, and the main regression line in both directions, enhancing its utility for active traders.
Why Choose This Indicator:
The combination of logarithmic scale option and flexible start date setting makes this Linear Regression Channel uniquely suited for both short-term and long-term analysis. The logarithmic scale is particularly beneficial for analyzing assets with significant price changes over time, as it normalizes percentage moves across different price levels. This feature, coupled with the ability to set a precise start date, allows traders to perform more accurate and relevant regression analyses, especially when studying specific market cycles or events.
Moreover, the trend strength indicator and customizable visual elements provide traders with a comprehensive tool that not only identifies potential support and resistance levels but also offers insight into the reliability and strength of the current trend.
In summary, this Linear Regression Channel indicator combines flexibility, precision, and insightful analytics, making it an invaluable tool for traders seeking to enhance their technical analysis capabilities on TradingView.
