AI SuperTrend x Pivot Percentile - Strategy [PresentTrading]█ Introduction and How it is Different
The AI SuperTrend x Pivot Percentile strategy is a sophisticated trading approach that integrates AI-driven analysis with traditional technical indicators. Combining the AI SuperTrend with the Pivot Percentile strategy highlights several key advantages:
1. Enhanced Accuracy in Trend Prediction: The AI SuperTrend utilizes K-Nearest Neighbors (KNN) algorithm for trend prediction, improving accuracy by considering historical data patterns. This is complemented by the Pivot Percentile analysis which provides additional context on trend strength.
2. Comprehensive Market Analysis: The integration offers a multi-faceted approach to market analysis, combining AI insights with traditional technical indicators. This dual approach captures a broader range of market dynamics.
BTC 6H L/S Performance
Local
█ Strategy: How it Works - Detailed Explanation
🔶 AI-Enhanced SuperTrend Indicators
1. SuperTrend Calculation:
- The SuperTrend indicator is calculated using a moving average and the Average True Range (ATR). The basic formula is:
- Upper Band = Moving Average + (Multiplier × ATR)
- Lower Band = Moving Average - (Multiplier × ATR)
- The moving average type (SMA, EMA, WMA, RMA, VWMA) and the length of the moving average and ATR are adjustable parameters.
- The direction of the trend is determined based on the position of the closing price in relation to these bands.
2. AI Integration with K-Nearest Neighbors (KNN):
- The KNN algorithm is applied to predict trend direction. It uses historical price data and SuperTrend values to classify the current trend as bullish or bearish.
- The algorithm calculates the 'distance' between the current data point and historical points. The 'k' nearest data points (neighbors) are identified based on this distance.
- A weighted average of these neighbors' trends (bullish or bearish) is calculated to predict the current trend.
For more please check: Multi-TF AI SuperTrend with ADX - Strategy
🔶 Pivot Percentile Analysis
1. Percentile Calculation:
- This involves calculating the percentile ranks for high and low prices over a set of predefined lengths.
- The percentile function is typically defined as:
- Percentile = Value at (P/100) × (N + 1)th position
- Where P is the desired percentile, and N is the number of data points.
2. Trend Strength Evaluation:
- The calculated percentiles for highs and lows are used to determine the strength of bullish and bearish trends.
- For instance, a high percentile rank in the high prices may indicate a strong bullish trend, and vice versa for bearish trends.
For more please check: Pivot Percentile Trend - Strategy
🔶 Strategy Integration
1. Combining SuperTrend and Pivot Percentile:
- The strategy synthesizes the insights from both AI-enhanced SuperTrend and Pivot Percentile analysis.
- It compares the trend direction indicated by the SuperTrend with the strength of the trend as suggested by the Pivot Percentile analysis.
2. Signal Generation:
- A trading signal is generated when both the AI-enhanced SuperTrend and the Pivot Percentile analysis agree on the trend direction.
- For instance, a bullish signal is generated when both the SuperTrend is bullish, and the Pivot Percentile analysis shows strength in bullish trends.
🔶 Risk Management and Filters
- ADX and DMI Filter: The strategy uses the Average Directional Index (ADX) and the Directional Movement Index (DMI) as filters to assess the trend's strength and direction.
- Dynamic Trailing Stop Loss: Based on the SuperTrend indicator, the strategy dynamically adjusts stop-loss levels to manage risk effectively.
This strategy stands out for its ability to combine real-time AI analysis with established technical indicators, offering traders a nuanced and responsive tool for navigating complex market conditions. The equations and algorithms involved are pivotal in accurately identifying market trends and potential trade opportunities.
█ Usage
To effectively use this strategy, traders should:
1. Understand the AI and Pivot Percentile Indicators: A clear grasp of how these indicators work will enable traders to make informed decisions.
2. Interpret the Signals Accurately: The strategy provides bullish, bearish, and neutral signals. Traders should align these signals with their market analysis and trading goals.
3. Monitor Market Conditions: Given that this strategy is sensitive to market dynamics, continuous monitoring is crucial for timely decision-making.
4. Adjust Settings as Needed: Traders should feel free to tweak the input parameters to suit their trading preferences and to respond to changing market conditions.
█Default Settings and Their Impact on Performance
1. Trading Direction (Default: "Both")
Effect: Determines whether the strategy will take long positions, short positions, or both. Adjusting this setting can align the strategy with the trader's market outlook or risk preference.
2. AI Settings (Neighbors: 3, Data Points: 24)
Neighbors: The number of nearest neighbors in the KNN algorithm. A higher number might smooth out noise but could miss subtle, recent changes. A lower number makes the model more sensitive to recent data but may increase noise.
Data Points: Defines the amount of historical data considered. More data points provide a broader context but may dilute recent trends' impact.
3. SuperTrend Settings (Length: 10, Factor: 3.0, MA Source: "WMA")
Length: Affects the sensitivity of the SuperTrend indicator. A longer length results in a smoother, less sensitive indicator, ideal for long-term trends.
Factor: Determines the bandwidth of the SuperTrend. A higher factor creates wider bands, capturing larger price movements but potentially missing short-term signals.
MA Source: The type of moving average used (e.g., WMA - Weighted Moving Average). Different MA types can affect the trend indicator's responsiveness and smoothness.
4. AI Trend Prediction Settings (Price Trend: 10, Prediction Trend: 80)
Price Trend and Prediction Trend Lengths: These settings define the lengths of weighted moving averages for price and SuperTrend, impacting the responsiveness and smoothness of the AI's trend predictions.
5. Pivot Percentile Settings (Length: 10)
Length: Influences the calculation of pivot percentiles. A shorter length makes the percentile more responsive to recent price changes, while a longer length offers a broader view of price trends.
6. ADX and DMI Settings (ADX Length: 14, Time Frame: 'D')
ADX Length: Defines the period for the Average Directional Index calculation. A longer period results in a smoother ADX line.
Time Frame: Sets the time frame for the ADX and DMI calculations, affecting the sensitivity to market changes.
7. Commission, Slippage, and Initial Capital
These settings relate to transaction costs and initial investment, directly impacting net profitability and strategy feasibility.
Multitimeframeanalysis
Intraday Fibonacci Levels [Gorb]Welcome to the Intraday Fibonacci Levels indicator, a dynamic and customizable tool designed for traders who incorporate Fibonacci retracements and extensions into their technical analysis. This indicator focuses on intraday price action, allowing you to select a specific candle from any trading session and visualize crucial Fibonacci levels derived from its high and low prices.
Features:
Candle Selection for Fibonacci Analysis: Select any candle based on its time to plot Fibonacci levels, giving you control over the period of analysis.
Customizable .236 and .618 Fibonacci Levels: Plot and customize the .236 and .618 Fibonacci retracement and extension levels. Adjust color and line style for each level to fit your chart preferences.
User-Friendly Interface: Easy-to-use input fields for selecting the candle time and configuring Fibonacci settings. Intuitive toggle options to display or hide specific Fibonacci levels.
Dynamic Updating: The indicator updates in real-time as new price data is received, ensuring you have the latest Fibonacci levels on your chart.
Usage Case:
This indicator is ideal for day traders and technical analysts who utilize Fibonacci tools to identify potential support and resistance levels, trend reversals, or continuation patterns. Whether you are analyzing a high-impact news event candle or a significant pivot point in the trading day, this indicator helps bring clarity to your Fibonacci-based trading strategy.
Guidelines for Usage:
Use the indicator settings to select the candle time and configure your desired Fibonacci levels. You can choose any time you want, in order to use premarket candles you need to enable electronic hours on your chart to have levels plot from pre/post.
These auto plotted levels can act as pivot points or points of support and resistance for traders to make informed trading decisions near these levels. Analyze the plotted Fibonacci levels in conjunction with other technical indicators or price action patterns for informed trading decisions.
Conclusion:
This indicator is a versatile and essential tool for traders who rely on Fibonacci analysis as part of their trading arsenal. By offering the flexibility to analyze specific candles and customize Fibonacci levels, this indicator empowers you to make more informed trading decisions. Its user-friendly design and real-time updating capabilities ensure that you have access to accurate and relevant Fibonacci data at any moment of the trading day.
RISK DISCLAIMER
All content, tools, scripts & education provided by Monstanzer or Gorb Algo are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Intraday Volume Profile [BigBeluga]The Intraday Volume Profile aims to show delta volume on lower timeframes to spot trapped shorts at the bottom or trapped longs at the top, with buyers pushing the price up at the bottom and sellers at the top acting as resistance.
🔶 FEATURES
The indicator includes the following features:
LTF Delta precision (timeframe)
Sensibility color - adjust gradient color sensitivity
Source - source of the candle to use as the main delta calculation
Color mode - display delta coloring in different ways
🔶 DELTA EXAMPLE
In the image above, we can see how delta is created.
If delta is positive, we know that buyers have control over sellers, while if delta is negative, we know sellers have control over buyers.
Using this data, we can spot interesting trades and identify trapped individuals within the candle.
🔶 HOW TO USE
In the image above, we can see how shorts are trapped at the bottom of the wick (red + at the bottom), leading to a pump also called a "short squeeze."
Same example as before, but with trapped longs (blue + at the top).
This can also work as basic support and resistance, for example, trapped shorts at the bottom with positive delta at the bottom acting as strong support for price.
Users can have the option to also display delta data within the corresponding levels, showing Buyers vs Sellers for more precise trading ideas.
NOTE:
User can only display the most recent data for the last 8 buyers and sellers.
It is recommended to use a hollow candle while using this script.
Gorb WallIntroduction:
Gorb Wall is a trading tool that offers a unique approach to market trend analysis. It extends the capabilities of the Gorb Algo indicator by presenting a multi-ticker, multi-timeframe dashboard, enabling traders to capture crucial market movements across various financial instruments without flipping through charts.
Overview:
Multi-Ticker Analysis: Monitor and analyze multiple financial instruments simultaneously.
Customizable Timeframes: Tailor the script to various timeframes to suit your trading strategy.
Gorb Algo Market Trend: An algorithm that adapts to market conditions, providing insights into trend changes.
User-Friendly Dashboard: Easily configure and customize the dashboard placement on your chart.
Color-Coded Trend Indicators: Visual cues to quickly assess bullish or bearish trends.
Optimized for Performance: Efficiently coded to ensure smooth running on TradingView without overloading resources.
How Gorb Wall Works:
The script utilizes Gorb Algo's market trend algorithm to process price and volume data across selected tickers and timeframes.
It applies a complex calculation to identify trends, using a combination of volatility analysis, momentum measurements, and trend strength indicators.
The output is a simplified visual representation on the dashboard, where colored circles indicate the trend direction, providing an at-a-glance market overview.
Unique Features:
Proprietary Algorithm: The heart of Gorb Wall lies in its unique Gorb Algo Market Trend algorithm. Unlike standard trend-following indicators, this proprietary algorithm integrates multiple technical analysis concepts (e.g., moving averages, volume data, price action, and oscillators) to provide a more comprehensive market trend analysis.
Multi-Dimensional Analysis: The script analyzes market trends by simultaneously processing data across multiple tickers and timeframes, offering a broader view of market movements than traditional single-ticker indicators.
We recommend exploring & choosing which tickers/timeframes best suits your needs and style of trading, and use that to combine with our suite of indicators.
Settings:
All skill-level friendly presets, easy to enable features with one-click
Dashboard Placement: Choose from top/bottom left/right for dashboard positioning.
Trend Speed Mode: Select the algorithm speed - Fast, Medium, Slow, Slowest.
Bullish/Bearish Trend Colors: Customize colors for trend indicators.
Additional Tickers: Input options for monitoring multiple financial instruments.
Timeframe Selection: Choose from a range of timeframes for each ticker.
How to Use
In the image below, we can see a basic example of how this indicator functions.
The dashboard displays up to three different tickers per the user's choice, with 4 different timeframes the user can choose. It that runs the algorithm line on the specified ticker & timeframe and plots a colored circle that identifies that tickers trend on the specified timeframes.
There are two colors, white for bullish trend and purple for bearish trend. These are the two consistent colors across our suit of indicators to help simplify trading by using simple color matching for confluence. Below is a continued breakdown on using this indicator:
Dynamic Trend Visualization in Real-Time Updates
The dashboard dynamically updates trend colors (white for bullish, purple for bearish) based on real-time market data, offering immediate insights into market sentiment. The next three images below these the live change in data as price action begins developing over multiple timeframes.
In the image above, we are on the 5min AAPL chart, we have SPY, QQQ, and VIX as our tickers on the dashboard with 1min, 2min, 3min, and 10min timeframes chosen. We begin to see VIX flip bullish, which can usually mean down side for indices.
We then see as AAPL's price begins to slow and reverse, we see SPY's trend following on the smaller timeframes first with VIX still leading the way indicating possible bearish change.
In the image above, we can see that price dips down and SPY & QQQ market trends have flipped bearish on all timeframes, while VIX continues to be bullish(validating the downwards price action)
Customizable Settings
Users can adjust settings such as dashboard placement, trend speed mode, and color themes to suit individual trading styles.
In the image below, we can see the dashboard placement setting offers four different locations the user can move the dashboard. Just like in Gorb Algo , the user can choose which trendline speed they want to use to best fit their trading strategy.
In the image below, we can see the "bullish trend" & "bearish trend" colors setting. These colors by default match the rest of our suite of indicators, white is bullish and purple is bearish. Users can change these color settings to meet their preferences.
In the image below, we can see there are three market ticker options that the user can change. This allows users to monitor their favorite tickers across or easily flip through multiple tickers in order to gauge their current market trends without having to change their chart
In the image below, we can see the 4 timeframes that are on the dashboard. The user has the ability to change each of those four, to whatever timeframe best suits their trading needs. There are 12 different timeframe options to choose from.
Quick Dashboard Review
Using color-coded trend detection, this quickly gauges market trends and provides a visual to easily identify these changes in real-time across multiple timeframes. When a circle changes color, this means that price has flipped that direction, causing a change in the Gorb Algo market trendline. As stated above, white is for bullish trend and purple is for bearish trend, but these colors can be changed to fit the users trading strategy and style. Each timeframe the user chooses will be updated in real-time, including the higher time frames like the daily & weekly. They have been modified to pull data a same speed the lower timeframes are.
This helps provide quick visual identification of real market trend changes as price action develops. It is best used in conjunction with other forms of technical analysis for a holistic trading approach.
Conclusion:
This indicator is designed to streamline market trend analysis, offering traders an innovative, efficient, and easy-to-use tool for making informed trading decisions. This tool complements our suite of indicators, providing unique market insights that are not typically available in traditional open-source scripts.
How to get access:
You can see the Author's instructions to get access to this indicator
RISK DISCLAIMER
All content, tools, scripts & education provided by Gorb Algo are for informational & educational purposes only. Trading is risky and most lose their money, past performance does not guarantee future results.
IMGBasic - HTF Structure / Order Blocks / Breakers - V1.0IMG Indicators Overview
The IMG Indicators are crafted as comprehensive educational tools for price action traders. They incorporate a variety of concepts including:
1. Multiple Timeframe Analysis
2. Order Blocks (OB)
3. Breakers (BRKR)
4. Fair Value Gaps (FVGs)
5. Overlaps of OB and FVG
6. Overlaps of BRKR and FVG
7. Analysis of Internal and External Liquidity
8. Strategies for Identifying Potential Entries, Stop-loss, and Target Levels
9. Risk Management and Position Sizing
These Price Action concepts can be applied to any market (Stocks / Options / Forex / Futures / Crypto ) and any timeframe.
Introduction to the IMG Basic Indicator
The IMG Basic Indicator serves as the foundational level within the IMG suite of indicators. Its core function is to acquaint traders with elementary price action concepts such as:
1. Higher Timeframe Market Structures through Multiple Timeframe Analysis
2. Higher Timeframe Order Blocks
3. Higher Timeframe Breakers
4. Breaks in Higher Timeframe Market Structure
Higher Timeframe Market Structure:
Market Structure can be defined using several techniques. The IMG indicators employ the Close through High/Low technique, which necessitates a candle close through a structural level to validate a structural break and designate a new range.
Example: H12 Market Structure visualisation on a H12 Chart with annotations:
By selecting a particular Market Structure timeframe in the settings, the indicator immediately illustrates both current and historical market structures for the chosen timeframe across all subordinate timeframes, subject to the limitations of your Tradingview subscription.
Example: H12 Market Structure visualisation on a H1 Chart with annotations:
Higher Timeframe Order Blocks (OB)
An Order Block represents the last candle of the opposite direction preceding a Market Structure Break. For instance, a bullish Order Block is identified as the final bearish candle leading to a bullish market structure break, and vice versa for bearish Order Blocks.
Example: H12 OB visualisation on a H12 Chart with annotations:
When activated, the indicator will highlight the Higher Timeframe Order Blocks responsible for a Market Structure Break on all subordinate timeframes relative to the chosen Market Structure Timeframe.
Note: if multiple OBs exist, the indicator will display the OB closest to the new range extreme
Example: H12 OB visualisation on a H1 Chart with annotations:
Higher Timeframe Breaker Blocks (BRKR)
A Breaker Block is identified as the most recent Order Block that has been breached by price, followed by an opposite Market Structure Break. For example, a bullish Breaker Block is the last bearish Order Block that price has passed through, followed by a bullish structural break, and the inverse is true for bearish Breakers.
Example: H12 Breaker visualisation on a H12 Chart with annotations:
Once enabled, the system will display Higher Timeframe Breaker Blocks after an opposite Market Structure Break is confirmed on all subordinate timeframes.
Example: H12 Breaker visualisation on a H1 Chart with annotations:
ALERTS: Higher Timeframe Market Structure Breaks (HTF MSBs)
The system provides notifications of confirmed Market Structure Breaks based on the selected Higher Timeframe Market Structure Timeframe. For instance, selecting a weekly structure will trigger an alert when price closes through a weekly structural level, and the same logic applies to other timeframes like D, H12, H4, H1 etc.
To enable alerts, right-click on the indicator and select “Add Alert on IMG ...”. You may customise the alert name as desired and then click 'Create' to finalise the alert setup.
General Note:
There is no system, indicator, algorithm, or strategy that can provide absolute certainty in predicting market movements. Use trading indicators as a tool to assist with trading decisions and manage your risk wisely.
For a complete user manual / knowledge base on the IMG Indicators, click on the User Manual link in the signature below
Stay safe and Happy Trading!
3x MTF MACD v3.0MACD's on 3 different Time Frames
Indicator Information
- Each Time Frame shows start of Trend and end of trend of the MACD vs the Signal Cross
- They are labled 1,2,3 with respective up or down triangle for possible direction.
User Inputs
- configure the indicator by specifying various inputs. These inputs include colors for bullish
and bearish conditions, the time frame to use, whether to show a Simple Moving Average
(SMA) line, and other parameters.
- Users can choose time frames for analysis (like 30 minutes, 1 hour, etc.)
but they must be in mintues.
- The code also allows users to customize how the indicator looks on the chart by providing
options for position and color.
Main Calculations
- The script calculates the Simple Moving Average (SMA) based on the user-defined time
frame.
- It then determines the color of the plot (line) based on certain conditions, such as whether
the SMA is rising or falling. These conditions help users quickly identify market trends.
Label Creation
- The code creates labels that can be displayed on the chart.
These labels indicate whether there's a bullish or bearish signal.
Level Detection
- The script determines and labels key levels or points of interest in the chart based on
certain conditions.
- It can show labels like "①" and "▲" for bullish conditions and "▼" for bearish conditions.
Table Display
- There's an option to show a table on the chart that displays information about the MACD
indicator Chosen and the NUmber Bubble assocated with that time frame
- The table can include information like which time frame is being analyzed, whether the SMA
line is shown, and other relevant data.
Plotting on the Chart
- The script plots the Simple Moving Average (SMA) on the chart. The color of this line
changes based on the calculated trend conditions.
ATR (Average True Range)
- The script also plots the Average True Range (ATR) on the chart. ATR is used to measure
market volatility.
"In essence, this script is a highly customizable MACD and SMA indicator for traders. It assists traders in comprehending market trends, offering insights into different MACD cycles concerning various timeframes.
Users can configure it to match their trading strategies, and it presents information in a user-friendly manner with colors, labels, and tables.
This simplifies market analysis, allowing traders to make more informed decisions without the distraction of multiple indicators."
Advanced VSA: Trend and Range LevelsThe indicator is designed for traders who are more interested in market structures and price action using volumes. Analyzing volumes, key market levels, market phases (trend or range/sideways), and multiple timeframes can help the trader build a clearer and more comprehensive view of the market. The data analysis algorithm is developed based on VSA methods, elements of the ICT concept, and the results of my research to assist trader in gaining a better understanding of the market and uncovering information that might go unnoticed.
The key idea is to consider multiple timeframes in trading. Understanding larger market movements from higher timeframes can provide a deeper context when making trading decisions, aiming to assist in more effective entries and exits. This is achieved by identifying the trend and its support levels on multiple timeframes, identifying ranges and their current boundaries, as well as buyer and seller interest zones.
Key Features
Trend Identification: The indicator determines the trend and its current support level. All significant price &movements occur in the form of impulses (either by sellers or buyers). An impulse consists of one or several consecutive candlesticks, at least one of which has a closing price beyond the boundaries of the previous impulse. The indicator displays the base of the impulse and/or the entire impulse. The base of the impulse represents the trend's support level.
Range Identification: The indicator can identify ranges and their current boundaries. Institutional traders take positions within price ranges, and many market reversals occur after flats. A range is a sequential price movement up and down within a specific price range. A range is formed by a minimum of 4 points, 2 above and 2 below, and is defined by its boundaries. The indicator detects ranges based on two (two consecutive impulses in one direction) or three impulses (the first and third in one direction, and the second in the opposite direction). The indicator displays the current boundary points of the range and the level of protection after exiting the range and initiating a trend.
Buyer and seller zones within impulses: After the impulse ends, a correction occurs. It is advisable to look for entry points during this correction in the direction of the impulse from the zone of interest of the owner of the impulse: the buyer's zone for a long impulse and the seller's zone for a short impulse. A zone consists of a series of consecutive candlesticks grouped on the chart in a specific manner.
Multi-Timeframe Trend Identification: The indicator also identifies the trend on two higher timeframes and displays the two latest bases of impulses from those higher timeframes on the chart.
Additional Features
Identification of Test Levels and Effort. A test is the price's return to a zone or to a candle of effort, followed by a continuation in the direction of the initial price movement. It is characterized by the test level. An effort or effort candle is a single candle that is individually larger in volume than the previous 2.
Example Use Cases
You can display the base levels of impulses from a 4-hour time frame and a daily time frame on a 15-minute chart to keep track of important levels from higher timeframes.
By exploring different timeframes, you can identify consolidations (range/sideways movements) and trade within them in the direction of the trend from higher timeframes.
If the market is in a trending phase (the presence of a trend is determined by two consecutive impulses in the same direction), look for trades in the direction of the impulse, following these priorities:
When the impulse base level is protected by the host of the impulse.
During corrections, look for buy trades in the buyer's zone for an uptrend and sell trades in the seller's zone for a downtrend.
During corrections, look for buy trades from a buyer's effort candle for an uptrend and sell trades from a seller's effort candle for a downtrend.
If the market is in a consolidation phase (range), look for trades:
When the current or maximum/minimum historical boundaries of the consolidation (range) are protected, look for trades towards the opposite current boundary.
If the price exits the consolidation/range (closes outside all consolidation boundaries, including both current and historical boundaries), then during corrections, look for trades in the direction of the exit.
Settings
Trend: Display base levels of impulses and/or the entire impulse. Sideways Ranges (Sideways Markets): Display the required number of sideways ranges on the chart, along with protection levels for exiting the sideways range. There are two modes for finding sideways ranges. The first mode requires touching points. The second mode (advanced) does not require precise touching of points if there are increased volumes at the extreme points of the sideways range. Touching these volumes is sufficient for the price.
Zones: Display zones on the chart. Choose the types of displayed zones and their colors. They are divided into three types. The first type is the most promising for finding trades. Type 3 represents more aggressive trades.
Test Levels: Display test levels for zones and efforts on the chart. There are three types of test levels. The first type is the most promising for finding trades. Type 3 is not recommended for finding trades as it represents the most aggressive trades.
Higher Time Frames: Choose 2 timeframes and the types of displayed impulse base lines.
RSI Radar Multi Time FrameHello All!
First of all many Thanks to Tradingview and Pine Team for developing Pine Language all the time! Now we have a new feature and it's called Polylines and I developed RSI Radar Multi Time Frame . This script is an example and experimental work, you can use it as you wish.
The scripts gets RSI values from 6 different time frames, it doesn't matter the time frame you choose is higher/lower or chart time frame. it means that the script can get RSI values from higher or lower time frames than chart time frame.
It's designed to show RSI Radar all the time on the chart even if you zoom in/out or scroll left/right.
You can set OB/OS or RSI line colors. Also RSI polyline is shown as Curved/Hexagon optionally.
Some screenshots here:
Doesn't matter if you zoom out, it can show RSI radar in the visible area:
Another example:
You can change the colors, or see the RSI as Hexagon:
Time frames from seconds to 1Day in this example while chart time frame is any ( 30mins here )
Enjoy!
Multi Timeframe Indicator Signals [pAulseperformance]█ Concept:
In this TradingView Pine Script publication, we introduce a powerful tool that offers extensive capabilities for traders and analysts. With a focus on combining multiple indicators, analyzing various timeframes, and fine-tuning your trading strategies, this tool empowers you to make informed trading decisions.
█ Key Features:
1. Combining Multiple Rules with AND / OR Operations
• Example: You can combine the Relative Strength Index (RSI) with the Moving Average Convergence Divergence (MACD) by selecting the "AND" operation. This ensures that you only get a signal when both indicators generate signals. Alternatively, you can add custom indicators and select "OR" to create more complex strategies.
2. Selecting Multiple Indicators on Different Timeframes
• Analyze the same indicator on different timeframes to get a comprehensive view of market conditions.
3. Reversing Signals
• Reverse signals generated by indicators to adapt to various market conditions and strategies.
4. Extending Signals
• Extend signals by specifying conditions such as "RSI cross AND MA cross WITHIN 2 bars."
5. Feeding Results into Backtesting Engine
• Evaluate the performance of your strategies by feeding the results into a backtesting engine.
█ Available Indicators:
External Inputs
• Combine up to 4 custom indicators to assess their effectiveness individually and in combination with other indicators.
MACD (Moving Average Convergence Divergence)
• Analyze MACD signals across multiple timeframes and customize your strategies.
• Signal Generators:
• Signal 1: 🔼 (+1) MACD ⤯ MACD Signal Line 🔽 (-1) MACD ⤰ MACD Signal Line
• Signal 2: 🔼 (+1) MACD ⤯ 0 🔽 (-1) MACD ⤰ 0
• Filter 1: 🔼 (+1) MACD > 0 🔽 (-1) MACD < 0
RSI (Relative Strength Index)
• Utilize RSI signals with flexibility across different timeframes.
• Signal Generators:
• Signal 1: 🔼 (+1) RSI ⤯ Oversold 🔽 (-1) RSI ⤰ Overbought
• Signal 2: 🔼 (+1) RSI ⤰ Oversold 🔽 (-1) RSI ⤯ Overbought
• Filter 1: 🔼 (+1) RSI <= Oversold 🔽 (-1) RSI >= Overbought
MA1 and MA2 (Moving Averages)
• Choose from various types of moving averages and analyze them across multiple timeframes.
• Signal Generators:
• Filter 1: 🔼 (+1) Source Above MA 🔽 (-1) Source Below MA
• Filter 2: 🔼 (+1) MA Rising 🔽 (-1) MA Falling
• Signal 1: 🔼 (+1) Source ⤯ MA 🔽 (-1) Source ⤰ MA
Bollinger Bands
• Multi Time Frame
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ BBLower 🔽 (-1) Close ⤰ BBUpper
• Signal 2: 🔼 (+1) Close ⤰ BBLower 🔽 (-1) Close ⤯ BBUpper
Stochastics
• Customize your MTF Stochastics analysis between Normal Stochastic and Stochastic RSI.
• Signal Generators:
• Filter 1: 🔼 (+1) K < OS 🔽 (-1) K > OB
• Signal 1: 🔼 (+1) K ⤯ D 🔽 (-1) K ⤰ D
• Signal 2: 🔼 (+1) K ⤯ OS 🔽 (-1) K ⤰ OB
• Signal 3: 🔼🔽 Filter 1 And Signal 1
Ichimoku Cloud
• MTF
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ Komu Cloud 🔽 (-1) Close ⤰ Komu Cloud
• Signal 2: 🔼 (+1) Kumo Cloud Red -> Green 🔽 (-1) Kumo Cloud Green -> Red
• Signal 3: 🔼 (+1) Close ⤯ Kijun Sen 🔽 (-1) Close ⤰ Kijun Sen
• Signal 4: 🔼 (+1) Tenkan Sen ⤯ Kijun Sen 🔽 (-1) Tenkan Sen ⤰ Kijun Sen
SuperTrend
• MTF
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ Supertrend 🔽 (-1) Close ⤰ Supertrend
• Filter 1: 🔼 (+1) Close > Supertrend 🔽 (-1) Close < Supertrend
Support And Resistance
• Receive signals when support/resistance levels are breached.
Price Action
• Analyze price action across various timeframes.
• Signal Generators:
• Signal 1 (Bar Up/Dn): 🔼 (+1) Close > Open 🔽 (-1) Close < Open
• Signal 2 (Consecutive Up/Dn): 🔼 (+1) Close > Previous Close # 🔽 (-1) Close < Previous Close #
• Signal 3 (Gaps): 🔼 (+1) Open > Previous High 🔽 (-1) Open < Previous Low
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Unlock the full potential of these indicators and tools to enhance your trading strategies and improve your decision-making process. With over 10 indicators and more than 30 different ways to generate signals you can rapidly test combinations of popular indicators and their strategies with ease. If your interested in more indicators or I missed a strategy, leave a comment and I can add it in the next update.
Happy trading!
LTF Candle Insights (Zeiierman)█ Overview
The LTF Candle Insights indicator allows traders to explore the finer details of the market by integrating lower time frame (LTF) data into their current chart, offering a more detailed and nuanced view of price movements. This comprehensive visual tool is crucial for traders who want to investigate complex market trends without the constant need to switch between different chart timeframes.
In essence, this indicator overlays the smaller details into the broader frame, enabling traders to grasp the fine points while examining the larger market picture.
█ How It Works
The LTF Candle Insights indicator easily puts LTF candles onto the current chart, allowing traders to see both the current timeframe and the chosen lower timeframe candles at the same time. This dual view helps traders see the main market trends and important price levels, helping them get a better understanding of the little details and complexities of the market.
█ How to Use
Trend Analysis
Traders can use this indicator to look closely at smaller market trends by comparing LTF candles with the candles of the current timeframe. Knowing the trends in LTF helps traders make trades that go along with the small market movements.
Support and Resistance Identification
By looking at the high, low, and middle levels of LTF candles, traders can find possible support and resistance areas. This detailed look helps traders pick the best times to enter or exit trades, set up stop-losses effectively, and manage risk carefully.
█ Settings
Lower Timeframe and Candle Amount
Users can determine the lower timeframe and the number of LTF candles they wish to observe on their current chart.
Range Lines
The high/low range of the illustrated candles and the optional mid-range line can be displayed, granting insights into significant price levels and ranges.
Table Display
A summary table can be displayed, outlining details of the current chart's timeframe and the chosen LTF, providing a succinct overview for traders.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Sync Frame (MTF Charts) [Kioseff Trading]Hello!
This indicator "Sync Frame" displays various lower timeframe charts for the asset on your screen!
5 lower timeframe candle charts shown
Timeframes auto-calculated using the new timeframe.from_seconds() function
Heikin-Ashi candles available
Baseline chart type available
Dynamic Scaling for ease of use
User customizable timeframes
Simple script (:
The image above shows the baseline chart type.
Time image above shows a traditional candlestick chart.
The image above shows a hekin-ashi chart.
The image above shows the indicator when nearly zoomed in as much as possible. The lower timeframe charts adjust to my chart positioning.
The image above shows my screen fully zoomed out; the lower timeframe charts adjust in both height and width to accommodate my chart positioning!
Thank you for checking this out (:
HTF Candle Insights (Expo)█ Overview
The HTF Candle Insights indicator helps traders see what's happening in larger time frames (HTF) while they're looking at smaller ones. This tool lets traders get a complete picture of market trends and price movements, helping them make smarter trading choices. It's really useful for traders who want to understand the main market trends without constantly switching between different chart timeframes.
In simpler terms , this indicator brings the big picture into the smaller frame, so traders don't miss out on what's important while focusing on the details.
█ How It Works
The indicator plots HTF candles on the existing chart, allowing users to view them concurrently with the candles of the current timeframe. This dual visual representation helps in discerning the prevalent market trends and significant price levels from both the current and higher timeframes.
█ How to Use
Trend Analysis
Traders can leverage this indicator to analyze overall market trends by observing HTF candles alongside the current timeframe candles. Recognizing HTF trends aids in aligning trades with the dominant market movement, potentially increasing the probability of successful trades.
Support and Resistance Identification
By viewing the high, low, and mid-levels of HTF candles, traders can identify potential support and resistance zones, enabling them to establish strategic entry and exit points, place stop-losses effectively, and manage risk proficiently.
█ Settings
Timeframe and Candle Amount:
Users can specify the higher timeframe and the number of HTF candles they wish to visualize on their current chart.
Visual Adjustments:
Traders can customize the color schemes for upward and downward candles and their wicks, and adjust the visibility and colors of the range lines, allowing for a tailored visual experience.
Range Lines:
Users have the option to display the high/low range of the displayed candles, and, if preferred, the mid-range line, enabling them to gain insights into significant price levels and ranges.
Table Display:
The indicator offers the ability to display a table, which provides an overview of the current chart's timeframe and the specified HTF.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Macd 6 timeframes ( include chart time with histogram) AboSary 15min, 1h, 4h, D, W, (chart time) + Histogram
All can be show or hide by you and change colors :)
ماكد يشمل 6 فواصل زمنية 15د، 1ساعة، 4ساعات, يوم، اسبوع بالاضافة الى مكاد للفاصل المستخدم بالشارت ايضاً هيستوغرام لنفس الفاصل المعروض في الشارت
مثال لو وضعت نصف ساعة تجد مكاد نص ساعة والهستوغرام كذلك نصف ساعة
جميع الخيارات يمكنك اغلاق اي منها وتغيير الوانها
Heikin Ashi MTF Trend [Pt]█ Introduction
The Heikin Ashi MTF Trend indicator takes a simple approach to understand the trend by visualizing Heikin Ashi candle colors across multiple timeframes and representing it in a simple and visual manner. It utilizes the Heikin Ashi (HA) candles across four custom timeframes to detect trend shifts and strength. The indicator also offers alert conditions for potential bullish and bearish trend shifts.
█ Features
► Multiple Timeframes (MTF) Trend Detection: The script fetches HA data from four different timeframes. This multi-timeframe approach gives a holistic view of the market sentiment.
► Weighted Trend Score: The individual trend scores of the four timeframes are multiplied with their respective weights and summed up to provide a cumulative trend score that is used to determine bar colors and trend shifts.
► Visual Trend Depiction : It displays the trend using default green/red squares for each timeframe and a gradient-filled bar to represent the cumulative trend score.
► Trend Change Alerts: Users can set alerts for bullish and bearish trend shifts.
█ Alerts
◊ Bull Trend Signal Alert: Alert when there is a bullish trend shift.
◊ Bear Trend Signal Alert: Alert when there is a bearish trend shift.
█ Usage Tips
◊ The greater the discrepancy in the weights across the timeframes, the more emphasis is placed on the higher weighted timeframe.
◊ While the gradient bar provides a quick trend overview, it's essential to view the trend squares to understand the individual timeframe sentiments.
◊ Always consider using this tool in conjunction with other indicators or methods for confirmation and enhanced trading strategy.
Happy Trading~~
MTF Smart Money ConceptsOverview
This indicator displays major elements of Smart Money Concepts and price action trading with multi-timeframes(MTF) and layered market structures with color visualization.
What is Smart Money Concepts?
Smart Money Concepts(SMC) is one of the methodologies to interpret how financial market moves and to analyze it and execute trades, focusing on liquidity and order flow of financial institutions.
Smart money means the funds invested by large financial institutions such as banks, institutional traders/investors, market makers, hedge funds etc. contrary to retail traders/investors' money.
It is important to note that there is no proof or evidence that those institutions move the market as described in Smart Money Concepts.
Personally speaking, it is one of the interpretation of the market and another angle to view the market just like other technical analysis methodologies such as Elliott Wave Principle, Gann Theory, Wyckoff Method and even traditional price action trading.
Importance of MTF Analysis
MTF analysis(a.k.a Topdown analysis) is the foundation to technically analyze charts and the most fundamental skill in trading because lower timeframes are always influenced by upper timeframes where large financial institutions operate.
How to use
This indicator is designed to help traders analyze how the market moves in terms of SMC and price action with multi-timeframes and color visualization of the market structures, which makes this indicator unique and different from other indicators.
There is two key settings that you can use based on your trading style.
1.Upper timeframe selection
You have two options to determine upper timeframe; Auto mode and Manual mode.
When Auto mode selected, upper timeframe will be determined based on chart timeframe as follows.
Chart timeframe => Upper timeframe
1M=>15M
5M/15M=>1H
30M/1H=>4H
4H=>D
D=>W
W=>M
If you select Manual mode, you can fix an upper timeframe.
2.High/low settings
This affects all other settings of the indicator and most importantly designs the market structure.
This is the key setting to determine how you view the market as price action trading is all about highs and lows and story of how highs and lows have been created with the market structure.
You can specify left bars and right bars to identify swing highs/lows and these highs/lows become the basis to design the market structure and determine how SMC elements are displayed.
Example:
Left bar&right bar: 10
You can see bigger wave(magenta line) in the market structure(stepped line).
(Magenta line is a drawn object by manual)
Left bar&right bar: 4
With this setting, you can see smaller wave in the market structure.
Since market moves like wave as there is a lot of wave theories in financial investment/trading industry such as Elliott wave, Wolf wave etc., users can define market structure with this setting depending on what degree of wave they aim to trade.
Functions:
MTF Order Block
Concept
Order block is a block of orders where buying orders and selling orders are accumulated. Order blocks are created when the institutions move the market up and down, temporality placing orders in an opposite direction to the way they want to move, in order to match their own orders with counter-orders.
Visualization by the indicator
The indicator displays both chart timeframe's order blocks and upper timeframe's order blocks(MTF).
You can also select from two options how to display order blocks;
1. Show all order blocks
2. Show strong order blocks only
Note: Strong order blocks mean order blocks created at strong highs/lows. See also strong high/low below.
Alerts can be set when prices reach strong order blocks.
MTF Fair Value Gap(FVG)/Imbalance
Concept
Fair Value Gap(FVG)(Imbalance) is a void generated among three consecutive candlesticks.
FVG(s) is created when the market moves so rapidly generating buy side or sell side order imbalances.
FVG(s) is characterized by price action that prices tend to come back to the area where FVG(s) exists, filling in the space among the candlesticks.
Visualization by the indicator
The indicator displays both chart timeframe's FVG and upper timeframe's FVG.
MTF Liquidity Grab
Concept
Liquidity grab is price action to sweep liquidity for the institutions to move the market.
This price action often happens because the size of their orders is so huge and they need a bunch of counter-orders to match their orders. This is why prices sometimes come to areas where liquidity rest and swipe them before the market goes up/down.
Liquidity visualization
Where does liquidity rest?
The answer is above highs(buy side liquidity) and below lows(sell side liquidity).
Among all highs and lows, swing highs and lows are where liquidity is accumulated the most because swing highs and lows can be created only by the institutions, therefore massive liquidity is indicated.
Visualization by the indicator
The indicator displays liquidity dots so that users can easily identify where liquidity rests and liquidity grab of both a chart timeframe and an upper timeframe.
Alerts can be set when liquidity grab happens.
MTF Strong High/Low
Concept
Strong high/low literally means strong highs and lows among all highs and lows including swing highs and lows.
There is a few different definitions of strong high/low in price action trading and the definition in this indicator is as follows.
Strong high
A high that that breaks higher low or lower low
Strong low
A low that breaks lower high or higher high
Visualization by the indicator
The indicator displays strong highs and lows of both a chart timeframe and an upper timeframe.
MTF Market Structure Visualization
Concept
Market structure is a series of price movement with highs and lows which outlines the way the market directs. It is a basis to see trend occurrence, trend reversal and sideways and analyzing the market structures in multi-timeframes is the most fundamental technical skill in trading/investment.
Visualization by the indicator
The indicator displays market structures of both a chart timeframe and an upper timeframe and provide color visualization depending on bullish and bearish market structures.
The definition of bullish and bearish market structure is as follows.
Bullish market structure
When a price breaks a Lower High or Higher High
Bearish market structure
When a price breaks a Higher Low or Lower Low
Settings
All the functions above, colors and line settings are parameterized and can be turned on/off depending on users’ needs.
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概要
Smart Money Concepts(SMC)およびプライスアクショントレードにおける重要な要素をマルチタイムフレームで表示することのできるインジケーターです。
相場構造(Market structure)をマルチタイムフレームで表示し、相場構造の強弱を色で可視化することができます。
Smart Money Concepts(スマートマネーコンセプト)とは？
Smart Money Concepts(以下SMC) は金融市場がどのように動くかを解釈し、分析し、取引を執行するための相場理論の一つであり、Liquidity(リクイディティ)および機関投資家のオーダーフロー(注文の流れ)に焦点を置いていることが特徴です。
Smart Money(スマートマネー)とは、銀行や機関投資家、マーケットメーカー、ヘッジファンドといった金融機関が動かす資金を意味し、個人投資家の資金と対をなす概念です。
重要な点は、実際に上記の金融機関がSmart Money Conceptsで語られているような相場の動かし方をしているかどうかを証明する明確なエビデンスはないということです。
個人的には、エリオット波動理論やギャン理論、ワイコフ理論、伝統的なプライスアクショントレーディングの方法論と同様に、マーケットの動きを解釈するための一つの方法論であり、マーケットの動きを別の角度から見る枠組みと捉えています。
マルチタイムフレーム(MTF)分析の重要性
MTF分析はチャートをテクニカルに分析する上での基礎であり、トレードにおいて最も重要なスキルです。なぜなら下位のタイムフレームは上記のような金融機関が資金運用を行う上位のタイムフレームの影響を常に受けるためです。
使い方
このインジケーターは、SMCまたはプライスアクショントレードの観点から、トレーダーがマーケットをマルチタイムフレームで分析することを支援するために開発しています。
相場構造(Market structure/マーケットストラクチャー)を方向性に応じて色で可視化することができるため、視覚的に相場の構造を判断できることがこのインジケータのユニークな点であり、他のインジケーターと異なる点です。
ユーザーのトレードスタイルに応じて、以下の二つの設定を行うことができます。
1.上位足の決定方法
ユーザーは上位足のタイムフレームを決定するにあたり、AutoモードとManualモードを選択することができます。
Autoモードを選択した場合、上位足はチャートのタイムフレームに応じて以下のように決定されます。
チャートタイムフレーム => 上位足タイムフレーム
1M=>15M
5M/15M=>1H
30M/1H=>4H
4H=>D
D=>W
W=>M
Manualモードを選択すると上位足のタイムフレームを固定することができます。
2.High/low(高値/安値) 設定
当設定はインジケーターの他の全ての機能に影響し、また最も重要である相場構造の定義に影響します。
当設定はユーザーがマーケットをどのように見るか(=どの程度の粒度)を決定する重要な設定です。なぜならプライスアクショントレードは、高値、安値とそれらが相場構造をどのように構築してきたかの一連の流れを分析することが全てだからです。
ユーザーは相場構造を決定付けるスイングハイ·スイングローを特定するためのバーの本数を設定することができます。ここで設定した内容が、相場構造を定義し、以下で説明するSMCの要素の表示を決定することになります。
例:
Left bar&right bar(左右のバーの数): 10
この場合、ステップラインで示した相場構造の中に大きな波(マゼンタの波)を見ることができます。
(マゼンタのラインは手動で描いたオブジェクト)
Left bar&right bar: 4
この設定では、上記に比べて小さい波を描いていることが確認できます。
相場理論の中にエリオット波動理論やウォルフ波動といった数多くの波動理論があることからわかるように、相場は波として動きます。どの粒度の波を狙うかというトレーダーのスタイルに応じて、設定を変更することができます。
機能
MTFオーダーブロック
コンセプト
オーダーブロックとは買い注文と売り注文が一連となって蓄積されたオーダー(注文)のブロックのことです。
オーダーブロックは機関投資家が相場を動かす際に、本来意図する方向とは一時的に逆に動かすことで、彼ら自身の注文をマッチングさせるための反対注文を発生させることで形成されます。
インジケーターによる表示
インジケーターはチャートタイムフレームのオーダーブロックと上位足のオーダーブロックの両方を表示することができます。
また、オーダーブロックの表示オプションとして、
1.全てのオーダーブロックを表示
2.Strong(ストロング)オーダーブロックのみを表示
を選択することが可能です。
注: StrongオーダーブロックはStrong High/Lowで形成されるオーダーブロックを指します。(下記参照)
また、オーダーブロック到達でのアラート設定も可能です。
MTFフェアーバリューギャップ(FVG)/インバランス
コンセプト
フェアーバリューギャップ(FVG)/インバランスとは連続する3つのローソク足の間に形成される溝(Gap)のことです。
フェアーバリューギャップはマーケットが非常に早く動いたことにより、買いオーダーと売りオーダーの需給バランスが崩れることによって発生します。
フェアーバリューギャップには、価格がフェアーバリューギャップが発生したエリアまで戻ってくる傾向があるという特徴が存在します。
インジケーターによる表示
インジケーターはチャートタイムフレームのフェアーバリューギャップと上位足のフェアーバリューギャップの両方を表示することができます。
MTF Liquidity Grab(リクイディティ·グラブ)
コンセプト
Liquidity(リクイディティ)とはマネー、つまり注文です。
Liquidity Grab(リクイディティ·グラブ)とは、機関投資家がマーケットを動かす際にLiquidityを取得するプライスアクションのことを指します。
このプライスアクションは、機関投資家が処理する注文サイズが非常に大きいため、自身の注文を出す際に大量の反対注文を必要とすることからしばしば発生します。
これが、価格がLiquidity(注文)の集まっているエリアに接近し、それら注文をスワイプ(狩り取る)した後に上昇·下落する理由です。
Liquidityの可視化
一般的にLiquidityは高値の上(buy side liquidity)、安値の下(sell side liquidity)に存在します。
全ての高値·安値の中で、スイングハイ·ローがliquidityが最も蓄積されているエリアということができます。なぜならスイングハイ·ローは機関投資家の注文によってのみ形成されるからです。
インジケーターによる表示
ユーザーがLiquidityポイントを簡単に識別できるようにLiquidityをドット表示することが可能です。またチャートタイムフレームと上位足の両方のLiquidity Grabを表示することができます。
Liquidity Grab発生時にアラートも設定可能です。
MTF Strong High/Low(ストロングハイ·ロー)
コンセプト
Strong high/lowは文字通り、強い高値·安値のことを指します。
トレーダーの間でいくつかの異なる定義が存在しますが、当インジケーターでの定義は以下の通りです。
Strong high
Higher low(ハイアーロー) または Lower low(ロワーロー)をブレイクした高値
Strong low
Lower higher (ロワーハイ) または Higher High(ハイアーハイ)をブレイクした安値
インジケーターによる表示
チャートタイムフレーム、上位足のStrong High/Lowを表示することが可能です。
相場構造可視化
コンセプト
相場構造(Market structure/マーケットストラクチャー)とは、相場の流れを成り立たせる高値と安値を元にした一連の値動きです。建物における骨組みに該当します。
トレンドの発生、転換、レンジを見極めるための基礎であり、マルチタイムフレームで相場構造を分析することは、投資·トレードにおいて最も重要なテクニカルスキルです。
インジケーターによる表示
チャートタイムフレームと上位足タイムフレーム両方の相場構造を表示することができます。
また、相場構造が強気の状態か弱気の状態かを色で可視化するため、上位足含めた相場の流れを視覚的に判断することが可能です。
相場構造の強弱の定義は以下の通りです。
強気の相場構造(Bullish market structure)
価格がLower HighまたはHigher Highをブレイクしたとき
弱気の相場構造(Bearish market structure)
価格がHigher LowまたはLower Lowをブレイクしたとき
設定
上記の全ての機能は色やライン設定含めパラメーターで設定が可能です。またユーザの必要に応じて表示·非表示を切り替えることができます。
Standardized MACD Heikin-Ashi TransformedThe Standardized MACD Heikin-Ashi Transformed (St. MACD) is an advanced indicator designed to overcome the limitations of the traditional MACD. It offers a more robust and standardized measure of momentum, making it comparable across different timeframes and securities. By incorporating the Heikin-Ashi transformation, the St. MACD provides a smoother visualization of trends and potential reversals, enhancing its utility for traders seeking a clearer view of the underlying market direction.
Methodology:
The calculation of St. MACD begins with the traditional MACD, which computes the difference between two exponential moving averages (EMAs) of the price. To address the issue of non-comparability across assets, the St. MACD normalizes its values using the exponential average of the price's height. This normalization process ensures that the indicator's readings are not influenced by the absolute price levels, allowing for objective and quantitatively defined comparisons of momentum strength.
Furthermore, St. MACD utilizes the Heikin-Ashi transformation, which involves deriving candles from the price data. These Heikin-Ashi candles provide a smoother representation of trends and help filter out noise in the market. A predictive curve of Heikin-Ashi candles within the St. MACD turns blue or red, indicating the prevailing trend direction. This feature enables traders to easily identify trend shifts and make better informed trading decisions.
Advantages:
St. MACD offers several key advantages over the traditional MACD-
Standardization: By normalizing the indicator's values, St. MACD becomes comparable across different assets and timeframes. This makes it a valuable tool for traders analyzing various markets and seeking consistent momentum measurements.
Heikin-Ashi Transformation: The integration of the Heikin-Ashi transformation smoothes out the indicator's fluctuations and enhances trend visibility. Traders can more easily identify trends and potential reversal points, improving their market analysis.
Quantifiable Momentum: St. MACD's key levels represent the strength of momentum, providing traders with a quantifiable framework to gauge the intensity of market movements. This feature helps identify periods of increased or decreased momentum.
Utility:
The St. MACD indicator offers versatile utility for traders-
Trend Identification: Traders can use the color-coded predictive curve of Heikin-Ashi candles to swiftly determine the prevailing trend direction. This aids in identifying potential entry and exit points in the market.
Reversal Signals: Colored extremes within the St. MACD signal potential price reversals, alerting traders to potential turning points in the market. This assists in making timely decisions during market inflection points.
Overbought/Oversold Conditions: The histogram version of St. MACD can be used in conjunction with the bands to detect short-term overbought or oversold market conditions, allowing traders to adjust their strategies accordingly.
In conclusion, this tool addresses the limitations of the traditional MACD by providing a standardized and comparable momentum indicator. Its incorporation of the Heikin-Ashi transformation enhances trend visibility and assists traders in making more informed decisions. With its quantifiable momentum measurements and various utility features, the St. MACD is a valuable tool for traders seeking a clearer and more objective view of market trends and reversals.
Key Features:
Display Modes: MACD, Histogram or Hybrid
Reversion Triangles by adjustable thresholds
Bar Coloring Methods: MidLine, Candles, Signal Cross, Extremities, Reversions
Example Charts:
-Traditional limitations-
-Comparisons across time and securities-
-Showcase-
See Also:
-Other Heikin-Ashi Transforms-
[MAD] Support / ResistanceSupport/Resistance - Multi-Timeframe Data Plotter
This Pine Script indicator provides users with the ability to analyze various technical indicators, including Bollinger Bands, Simple Moving Averages (SMA), Exponential Moving Averages (EMA), and Pivot Points, across different timeframes. It visually represents these indicators on the chart, allowing for comprehensive analysis.
Key Features:
Bollinger Bands: The indicator supports 6 different timeframes for Bollinger Bands. Users can customize the length of the Bollinger Bands for each timeframe and choose whether to display levels and plots.
Simple Moving Averages (SMA): The indicator supports 4 different timeframes for SMAs. Users can define custom lengths for the SMAs and choose which ones to display on the chart or in the S/R Screen.
Exponential Moving Averages (EMA): Similar to SMAs, the indicator supports 4 different timeframes for EMAs. Users can define custom lengths for the EMAs and choose which ones to display on the chart or in the S/R Screen.
Pivot Points: The indicator supports 4 different timeframes for Pivot Points. Users can choose between Traditional and Fibonacci calculation methods and customize the appearance of the pivot levels.
Global Switches: Users have the option to enable or disable the display of pivots, Bollinger Bands, SMAs, EMAs, open/close/high/low values, horizon plot, and VPR-style plot (weighted Gaussian addition).
Plot Limitation: Users can limit the plotting of support and resistance lines by specifying a percentage up/down.
This indicator offers extensive customization and flexibility, allowing users to analyze the market using these technical indicators across multiple timeframes.
Please refer to this screenshot for an overview of all available settings:
Additionally, the indicator includes a multiplot-chartselect feature to address the limitation of 32 data streams with colors. This feature enables the selection of 10 SMAs or EMAs from different timeframes, along with 3 timeframes of Bollinger Bands and the daily open/close values, all in a single packed indicator. Here is an example of how the data can be displayed:
Enabling all features simultaneously may result in visual overload. However, for users who wish to view specific indicators, this indicator provides all the necessary options. Please refer to this screenshot for an example of various indicators displayed:
To enhance visibility, all lines are weighted, and line and label positions can be dynamically shifted based on these weights.
MTF Evolving Weighted Composite Value Area🧾 Description:
This indicator calculates evolving value areas across 3 different timeframes/periods and combines them into one composite, multi-timeframe evolving value area - with each of the underlying timeframes' VAs assigned their own weighting/importance in the final calculation. Layered with extra smoothing options, this creates an informative and useful 'rolling value area' effect that can give you a better perspective on the value area across multiple periods at once as it develops - without total calculation resets at the onset of every new period.
Let's start with a simplified primer on value areas and then jump in to the new ideas this indicator introduces.
🤔 What is a value area?
Value areas are a tool used in market profile analysis to determine the range of prices that represents where most trading activity occurred during a specific time period, typically within a single 'bar' of a certain higher timeframe, such as the 4-hour, daily, or weekly. It helps traders understand the levels where the market finds value.
To calculate the value area, we look at the distribution of prices and trading volume. We determine a percentage, usually 70% or 80%, that represents the significant portion of trading volume. Then, we identify the price range that contains this percentage of trading volume, which becomes the value area.
Value areas are useful because they provide insights into market dynamics and potential support and resistance levels. They show where traders have been most active and where they find value, and traders can use this information to make better-informed decisions.
For example, if price is trading within the value area, it suggests that it's within a range where traders see value and are actively participating, which could indicate a balanced market. If the price moves above or below the value area, it may signal a potential shift in market sentiment or a breakout/breakdown from the established range.
By understanding the value area, traders can identify potential areas of supply and demand, determine levels of interest for buyers and sellers, and make decisions based on the market's perception of value.
📑 Limitations of traditional value areas
Static representation: Value areas are usually represented as static zones calculated after the fact. For example, after a daily period is completed, a typical 1D VA indicator will display the value area for the past period with static horizontal lines. This approach doesn't give you the power to see how the value area evolved, or developed, during the time period, as it is only displayed retroactively. It also doesn't give you the ability to view it as it evolves in real-time. This is why we chose to use an evolving value area representation, specifically borrowed from @sourcey's Value Area POC/VAH/VAL script function for calculating evolving VAs.
Rollover resets - no memory of past periods!: The traditional value area is calculated over a static period - it is calculated from the beginning of the period, for example a 1 day period, to the end, and that's the end of it. When the next daily period begins, the calculation resets, and has no memory of the preceding period. This limits the usefulness of the value area visual when viewed near the beginning of a new period before price and volume have been given ample time to define an area.
Hard to absorb all of that information: Value areas aren't generally meant to be a hardline representation of something extremely exact - they're based on a percentage of the area where traders appeared to find value over a certain time period. Most traders use them as a guide for support and resistance levels or finding an expected range. Traders typically overlay multiple VAs - sometimes requiring several instances of the same indicator to be applied - to represent the VA across multiple timeframes such as the 4H, 1D, or 1W. The chart quickly gets cluttered and it's not necessarily easy to understand the relationship between these multiple periods' VAs at a glance.
🧪 New concepts introduced in this indicator
With the evolving weighted composite value area we tried to address these limitations, and we think the result can be useful and intuitive for traders who want more dynamic and practical VAs for their everyday technical analysis.
⚖️ 1. A composite, weighted multi-timeframe VA
This indicator's value areas represent a combination or composite of the value areas calculated across multiple timeframes. The VAs calculated across each timeframe are then given a weighting percentage, which determines their contribution to the final 'weighted composite value area'.
Pictured below: a 4H/1D/1W MTF evolving weighted composite VA on the BTCUSDT Perpetual Futures (Binance) 5 minute chart:
Traditionally, when traders wanted to get a view of where the majority of trading activity occurred over the past four hours, day, and week, they would need to apply three value area indicators (or sometimes one if it allows multiple custom timeframes), each set to a different period (4H, 1D, 1W). The chart gets cluttered quickly and the information is hard to absorb in one shot. Addressing this problem was the main impetus for creating this weighted composite process.
〰️ 2. Rolling and smoothed evolving VAs
Because the composite VA is calculated based on multiple period VAs, there is no one single point where the area calculation resets (unless all 3 selected timeframes happen to rollover on the same bar). This creates a 'rolling' effect that gives a sense of the progression of the VA as price transitions through the different underlying time periods, without the traditional 'jump' in calculations between periods.
Pictured below: a 1D/1W/1M MTF evolving weighted composite VA on the NQ futures 1H chart:
To help give even more of a sense of perspective and 'progression' of the VA, there are also smoothing options to even out the 'jumps' at period-rollover points.
✔️ What's it good for?
Smoothed, rolling, and evolving multi-timeframe VAs that give you a better real-time perspective of where traders are finding value across multiple time periods at once.
📎 References
1. @sourcey's Value Area POC/VAH/VAL script by adapting its f_poc(tf) function.
💠 Features:
A MTF evolving weighted composite value area based on 3 underlying VAs calculated across customizable timeframes
Aesthetic and flexible coloring and color theme styling options
Period-roller labels and options for ease-of-use and legibility
⚙️ Settings:
Calculation Decimal Resolution: This setting essentially determines how 'granular' the value area calculating process is. This value should be set to some multiple of the tick size/smallest decimal of the symbol's price chart. Eg. On BTCUSDT, the tick size/decimal is usually 0.1. So, you might use 0.5. On TSLA, the tick size is 0.01. You might use 0.05 or 0.25. Beware: if the resolution is too small, calculation will take too long and the script may timeout.
Show Me Suggested Resolutions: If enabled, a label will display in the bottom right of the chart with some suggested resolutions for the current chart.
Area Percentage: Set the displayed percentage of the calculated composite value area. Igor method = 70%; Daniel method: 68%.
Use a Color Theme: When this setting is enabled, all manual 'Bullish and Bearish Colors' are overridden. All plots will use the colors from your selected Color Theme - excepting those plots set to use the 'Single Color' coloring method.
Color Theme: When 'Use a Color Theme' is enabled, this setting allows you to select the color theme you wish to use.
Resistance Color: When 'Use a Color Theme' is disabled, this will set the 'resistance color' for the composite VA.
Support Color: When 'Use a Color Theme' is disabled, this will set the 'support color' for the composite VA.
Show Period Rollover Labels: When enabled, a label will show above or below the composite VA marking any underlying period rollovers with the label 'New __' (eg. 'New 4H', 'New 1D', 'New 1W').
Size: Sets the font size of the period rollover labels.
Show Period Rollover Lines: When enabled, a translucent vertical dashed line will be drawn across the composite VA when one of the underlying periods rolls over.
Fill Composite Value Area: When enabled, the composite VA will be filled with a gradient coloring from the support line to the resistance line using their respective colors.
Smooth: When enabled, a smoothing moving average will be applied to the composite value area.
Smoothing Period: Set the lookback period for the smoothing average.
Smoothing Type: Set the calculation type for the smoothing average. Options include: Exponential, Simple, Weighted, Volume-Weighted, and Hull.
Enable: Include/exclude a timeframe's VA in the composite VA calculation.
Timeframe: Set the timeframe for this specific underlying VA.
Weighting %: Set the weighting percentage or 'importance' of this timeframe's value area in calculating the composite VA. Beware! The sum of the weighting percentages across all enabled timeframes must ALWAYS add up to 100 in order for this indicator to work as designed.
RSI MTF [Market Yogi]The Multi-Time Frame RSI with Money Flow Index and Average is a powerful trading indicator designed to help traders identify overbought and oversold conditions across multiple time frames. It combines the Relative Strength Index (RSI) with the Money Flow Index (MFI) and provides an average value for better accuracy.
The Relative Strength Index (RSI) is a popular momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100 and is used to identify overbought and oversold conditions in an asset. By incorporating the RSI across multiple time frames, this indicator offers a broader perspective on market sentiment.
In addition to the RSI, this indicator also includes the Money Flow Index (MFI). The MFI is a volume-based oscillator that measures the inflow and outflow of money into an asset. It takes into account both price and volume, providing insights into the strength and direction of buying and selling pressure.
By combining the RSI and MFI across multiple time frames, traders gain a comprehensive understanding of market dynamics. The indicator allows for comparing the RSI and MFI values across different time frames, enabling traders to identify divergences and potential trend reversals.
Furthermore, this indicator provides an average value of the multi-time frame RSI, offering a consolidated signal that helps filter out noise and enhance the accuracy of trading decisions.
Key Features:
1. Multi-Time Frame RSI: Combines the RSI across different time frames to provide a comprehensive view of market sentiment.
2. Money Flow Index (MFI): Incorporates the MFI to gauge buying and selling pressure based on both price and volume.
3. Average Calculation: Computes the average value of the multi-time frame RSI to generate a consolidated trading signal.
4. Divergence Detection: Enables traders to spot divergences between the RSI and MFI values, indicating potential trend reversals.
5. Overbought and Oversold Levels: Highlights overbought and oversold levels on the RSI, aiding in timing entry and exit points.
The Multi-Time Frame RSI with Money Flow Index and Average is a versatile tool that can be applied to various trading strategies, including trend following, swing trading, and mean reversion. Traders can adjust the time frame settings to suit their preferences and trading style.
Note: It's important to use this indicator in conjunction with other technical analysis tools and indicators to validate signals and make informed trading decisions.
HTF star - trailingDescription:
The HTF - Stars (Highertimeframe Stars) Strategy Script is designed to explore the behavior of a strategy using multiple timeframes. This experimental script focuses on identifying star candle patterns on a chosen higher timeframe and capturing subsequent price movements on a lower timeframe. By leveraging the power of star candle patterns forming on a higher timeframe, this strategy aims to capture potential trading opportunities on a shorter timeframe.
Key Features:
Multiple Timeframe Analysis: The strategy script allows you to be on a lower timeframe while searching for star candle patterns on a higher timeframe using the security function. This approach enables you to take advantage of higher timeframe insights and potentially capture favorable price movements on a shorter timeframe.
Star Candle Pattern Detection: The script identifies star candle patterns on the chosen higher timeframe. After the candle closes, a buy or sell order is executed on the lower timeframe, signaling a potential trading opportunity based on the detected pattern.
Trailing Stop: The strategy utilizes a trailing stop feature to manage trades. The trailing stop is set at a specified ATR (Average True Range) distance above or below the candle closes. This mechanism allows you to capture potential profits if the price moves in the anticipated direction and then reverses.
Mean Reversion Potential: During backtesting, it was observed that shorting stars above the 360 MA (Moving Average) and taking long positions on stars below the 360 MA yielded the most profitable results in the current market conditions. This suggests that star candle patterns in this context may serve as potential mean reversion signals. However, user inputs allow for customization, enabling you to experiment with different trading approaches when a star candle is detected.
Backtesting Feature: The script includes a backtesting feature that uses a percentage of equity, with 1% of equity set as the default. It displays a table presenting various statistics about the strategy's performance, providing valuable insights into its historical results.
Adjustable User Inputs: The script offers multiple adjustable settings, each accompanied by tooltips explaining their functionality. This flexibility allows you to fine-tune the strategy according to your preferences and experiment with different parameters to optimize its performance.
Disclaimer:
The HTF - Stars Strategy Script is provided for experimental and educational purposes only. Trading in the financial markets involves risk, and you should only trade with funds that you can afford to lose. The information presented in this script does not constitute financial advice or investment recommendations. Always conduct your own research and due diligence before making any investment decisions. The creator of this script shall not be held responsible for any losses or damages incurred from the use of this script. Historical performance is not indicative of future results.
Please note that past performance is not necessarily indicative of future results. Trading the markets involves risk, and there is no guarantee that the strategy described will be profitable for you. It is important to thoroughly test the strategy, adapt it to your trading style, and use proper risk management techniques.
ChanLun ProChanLun, also known as Entanglement Theory or "缠论", is a highly regarded technical analysis methodology that originated in China. Since its introduction in 2006, ChanLun has rapidly gained significant attention and a strong following within the Chinese trader community due to its exceptional ability to navigate complex market dynamics.
ChanLun places great emphasis on market structure, price action, momentum, and the intricate interplay between market forces. It recognizes that the market operates in cyclical patterns and aims to capture the underlying structure and rhythm of price movements. Through meticulous analysis of the intricate relationships between price and time, it provides traders with a unique perspective on market trends, potential reversals, and critical turning points.
This indicator offers a meticulous and comprehensive implementation of the ChanLun theory. It facilitates in-depth analysis and visual representation of all essential components, encompassing “Candlestick Conversion”, "Candlestick Standardization", "Fractal", "Stroke", "Segment", "Pivot", and "Buying/Selling Point".
🟠 Algorithm
🔵 Step 1: Candlestick Conversion
In ChanLun, candlestick analysis focuses less on the opening/closing prices and wicks, but rather emphasizes the price range at which the stock price has reached. As a result, the initial step in ChanLun involves converting each candlestick to contain solely the high and low prices, disregarding other elements.
🔵 Step 2: Candlestick Standardization
In the second step, the converted candlesticks are standardized to ensure strict directional consistency and eliminate the presence of inner bars or outer bars. For any adjacent two candlesticks A and B where one’s price range completely encompasses another, A and B are merged into a new candlestick C. If A is trending up from its previous candle, then C will be defined such that high(C) = max(high(A), high(B)) and low(C) = max(low(A), low(B)). If A is trending down from its previous candle, then C will be defined such that high(C) = min(high(A), high(B)) and low(C) = min(low(A), low(B)).
After completing these steps, when considering any adjacent candlesticks A and B, we can always observe either of the following conditions:
1. high(A) > high(B) and low(A) > low(B)
2. high(A) < high(B) and low(A) < low(B)
The chart below illustrates how the candlesticks would appear after this step.
🔵 Step 3: Fractals
A "Fractal" refers to the pattern formed by three consecutive "standardized" candlesticks, where the middle candlestick shows a clear higher or lower value compared to the surrounding candlesticks. When considering three adjacent candlesticks, A, B, and C, we have either of the two conditions:
1. high(B) > high(A) and high(B) > high(C) and low(B) > low(A) and low(B) > low(C)
2. high(B) < low(A) and high(B) < low(C) and low(B) < low(A) and low(B) < low(C)
For #1 above, we refer to the combination of A, B, and C as a “Top Fractal”, whereas for #2 we designate it as a “Bottom Fractal”.
The chart below illustrates all the fractals, with the red triangles indicating the Top Fractals and the green triangles indicating the Bottom Fractals.
🔵 Step 4: Strokes
A “Stroke” is a line connecting a top fractal and a bottom fractal, subject to the following rules:
1. There must be at least one "free" candlestick positioned between these fractals, meaning it is not part of either the top or bottom fractal. This guarantees that a stroke encompasses a minimum range of five candlesticks from beginning to end.
2. The top fractal must have a higher price compared to the bottom fractal.
3. The endpoint fractals should represent the highest or lowest point throughout the entire span of the stroke. (There is an option within this indicator to enable or disable this rule.)
Strokes enable traders to identify and visualize significant price swings or trends while effectively filtering out minor fluctuations.
🔵 Step 5: Segments
A "Segment" is a higher-level line that connects the starting and ending points of at least three consecutive strokes, reflecting the current trend of the market structure. It continues to extend as new strokes emerge, until there is a break in the market structure. The break occurs when an uptrend forms a lower high and lower low, or when a downtrend forms a higher high and higher low. It's worth noting that during trading ranges, it is common for strokes to exhibit a higher high and lower low or a higher low and lower high pattern (similar to inner bars and outer bars). In such cases, the strokes will be merged in a similar manner as described earlier for candlesticks, until there is a distinct break in the market structure. Segments provide a relatively stable depiction of the market trend in a higher timeframe, as opposed to strokes.
It is important to note that the algorithm used to calculate segments from strokes can be recursively applied to the generated segments again, forming higher-level segments that represent the market trend on a even larger timeframe.
🔵 Step 6: Pivots
In ChanLun, the term "Pivot" does not indicate a price reversal point. Instead, it represents a trading range where the price of a security tends to fluctuate. Within a given "Segment," the pivot is determined by the overlap of two consecutive strokes moving in the opposite direction of the segment. When two downtrend strokes A and B form a pivot P within an uptrend segment S, the upper and lower bounds of the pivot are defined as follows:
1. upper(P) = min(high(A), high(B)
2. lower(P) = max(low(A), low(B))
The pivot range is typically where consolidation occurs and where there is a high trading volume.
If a future stroke, moving in the opposite direction of the current segment, overlaps with the upper and lower bounds of the pivot, it is merged into the existing pivot and extends the pivot along the x-axis. A new pivot is formed when two consecutive strokes moving in the opposite direction of the current segment, intersect with each other without overlapping the previous pivot.
Likewise, pivots can also be recursively identified within the higher-level segments. The blue boxes below represent the "Segment Pivots" that are identified within the context of higher-level segments.
🔵 Step 7: Buying/Selling Points
There are three types of buying/selling points defined in ChanLun.
1. Type 1 Buying and Selling Points: Also known as trend reversal points. These points are where the old segments terminate and new segments are generated.
2. Type 2 Buying and Selling Points: Also known as trend continuation points. These points occur while the price is in the midst of a trend and signify the continuation of the trend. In an uptrend, the Type 2 buying point is the rebound point after the price retraces to a previous low or support level, indicating that the price may continue to rise. In a downtrend, the Type 2 selling point is the pullback point after the price rallies to a previous high or resistance level, indicating that the price may continue to decline.
3. Type 3 Buying and Selling Points: These points indicate the retests of breakouts from pivot ranges. The presence of these retest points suggests that the price has the potential to continue its upward/downward movement above/below the pivot levels.
A discerning reader may notice that these buying/selling points are lagging indicators. For example, by the time a new segment is confirmed, multiple candlesticks have already occurred since the type 1 buying/selling point of that segment.
Indeed, it is true that the buying/selling points lag behind the actual market movements. However, ChanLun addresses this issue through the utilization of multi-timeframe analysis. By examining the confirmed buying/selling points in a lower timeframe, one can gather additional confidence in determining the overall trend of the higher timeframe.
🔵 Step 8: Divergence
Another core technique in ChanLun is the application of divergence to anticipate the emergence of type 1 buying/selling points. While MACD is the most commonly employed indicator for detecting divergence, other indicators such as RSI can also be utilized for this purpose.
🟠 Summary
In essence, ChanLun is a robust approach to technical analysis that integrates the careful examination and interpretation of price charts, the application of technical indicators and quantitative tools, and a keen attention to multiple timeframes. Its objective is to identify prevailing market trends and uncover potential trading prospects. What sets ChanLun apart is its holistic methodology, which blends both qualitative and quantitative analysis to facilitate informed and successful trading decisions.
🟠 NOTE
The freely available "ChanLun | AlgoTrader" script, published by the same account, incorporates only a limited set of fundamental concepts from ChanLun.
In contrast, this script is a premium invite-only version that represents a comprehensive implementation of the complete ChanLun methodology, specifically tailored for more experienced and professional traders.
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该指标严格按照缠论原文实现了包括“K线标准化”、“分型”、“笔”、“线段”、“中枢”和“买卖点”在内的所有关键元素。它旨在为缠友们提供一个准确可靠的缠论实现，以便快速而精准地分析市场，从而获得更优秀的交易业绩。
该指标的主要特点如下：
1. 实时标记所有缠论元素：该指标具备实时识别和标记分型、笔、线段、中枢和买卖点的功能，提供清晰的信号和准确的趋势判断。
2. 多种笔段算法选择：提供三种不同的笔算法（“老笔”、“新笔”和“4K”）以及两种线段算法（“特征序列”和“1+1终结”），满足不同交易者个性化需求，可根据偏好和策略选择最适合的算法。
3. 三级别联立：指标同步计算并显示笔、线段和递归高级段，提供更全面的市场动态分析。
4. 自定义颜色：用户可以根据个人喜好和需求自定义指标的颜色方案，与图表风格和视觉需求完美匹配。
5. 完美实现K线回放功能：指标充分利用了K线回放功能，让交易者能够回顾和分析历史市场数据，提高对市场趋势的研究和理解，增强市场洞察力和决策能力。
MTF Smoothable RSI Nexus [DarkWaveAlgo]🧾 Description:
A nexus is a connection, link, or neuronal junction where signals and information are transmitted between different elements.
The MTF Smoothable RSI Nexus indicator serves as a nexus between smoothable, MTF RSIs by facilitating the visualization and interaction of up to six multi-timeframe RSIs, each with its own customizable timeframe, period, coloring customization, and price source. By combining these various RSIs, it helps you create a comprehensive view of MTF momentum trends and dynamics.
It acts as a control center that brings together multiple MTF RSIs and allows you to visualize the interactions between them with exceptional ease-of-use and customizability, helping to provide you with valuable insights into potential trend reversals, momentum shifts, and trading opportunities.
💡 Originality and Usefulness:
While there are other multi-timeframe RSI indicators available, MTF Smoothable RSI Nexus' global smoothing settings offer a flexible take on the development of price momentum across various timeframes. Its semi-transparent overbought and oversold fill zones create a compounding opaqueness when RSIs from multiple timeframes coalesce - making visual assessment of momentum extremes incredibly easy. We also believe it stands above the rest with its sheer quantity and quality of settings, features, and usability.
✔️ Re-Published to Avoid Misleading Values
This script has been re-published to ensure that it does not use `request.security()` calls using lookahead_on to access future data when referencing RSIs from other timeframes. This decreases the likelihood that the indicator will provide deceiving values. This change has been made in accordance with the PineScript documentation: "Using barmerge.lookahead_on at timeframes higher than the chart's without offsetting the `expression` argument like in `close [ ]` will introduce future leak in scripts, as the function will then return the `close` price before it is actually known in the current context" and the Publishing Rule: "Do not use `request.security()` calls using lookahead to access future data". Historical and real-time values may differ when referencing timeframes other than the chart's.
💠 Features:
6 toggleable MTF Smoothable RSIs with customizable timeframes, periods, and price sources
Compounding overbought/oversold filled areas for easy MTF momentum analysis
Aesthetic and flexible coloring and color theme styling options
End-of chart labels and options for ease-of-use and legibility
⚙️ Settings:
Use a Color Theme: When this setting is enabled, all manual 'Bullish and Bearish Colors' are overridden. All plots will use the colors from your selected Color Theme - excepting those plots set to use the 'Single Color' coloring method.
Color Theme: When 'Use a Color Theme' is enabled, this setting allows you to select the color theme you wish to use.
Hide RSIs on Timeframes Lower Than the Chart: When this setting is enabled, any MTF RSI with a timeframe smaller than that of the chart the indicator is applied to will be hidden from view.
Overbought Level: Set the level value for the overbought line.
Oversold Level: Set the level value for the oversold line.
Overbought Color: When 'Use a Color Theme' is disabled, this will set the color for the Overbought Level line.
Oversold Color: When 'Use a Color Theme' is disabled, this will set the color for the Oversold Level line.
Fill Overbought/Oversold Areas: When enabled, the area between any MTF RSI and the Overbought/Oversold level will be filled with semi-transparent coloring if that RSI is above/below the respective level.
Smooth RSIs: When enabled, all MTF RSIs will be processed through an additional smoothing average calculation.
Smoothing Type: Set the calculation type for the smoothing process. Options include: Exponential, Simple, Weighted, Volume-Weighted, and Hull.
Enable: Show/hide a specific MTF RSI.
Timeframe: Set the timeframe for a specific MTF RSI.
Period: Set the lookback period for a specific MTF RSI.
Source Price: Set the source value used for a specific MTF RSI's calculation.
Coloring Method: Set the coloring method for this specific RSI. The coloring method defines how the RSI should be dynamically colored. Options include: 'Single Color' and 'Increasing/Decreasing'.
Bullish Color: When 'Use a Color Theme' is disabled, this will set the 'bullish color' for this specific MTF RSI.
Bearish Color: When 'Use a Color Theme' is disabled, this will set the 'bearish color' for this specific MTF RSI.
Single Color: When the 'Coloring Method' is set to Single Color for this specific RSI, this color option will set the RSI's color.
Enable Label: When enabled, a label will show at the end of the chart displaying the timeframe, period, smoothing type (if any), and current price value of this specific MTF RSI.
Size: Sets the font size of this specific MTF RSI's label.
Label Offset (in Bars): Sets the distance from the latest bar, in bars, at which this specific MTF RSI's label is displayed.
Show Label Line: When enabled, this specific MTF RSI's label will be accommodated by a dashed line connecting it to its plot.
📈 Chart:
The chart shown in this original publication displays the 15 minute chart on ETHUSDT. Displayed on the chart are 4 MTF RSIs: the 15m 14 WMA-Smoothed RSI, 1h 14 WMA-Smoothed RSI, 4h 14 WMA-Smoothed RSI, and the 1D 14 WMA-Smoothed RSI - offering an exemplary view of how you can easily use these MTF RSIs to your advantage in analyzing momentum relationship across multiple timeframes.
Candle Color OverlayDescription:
The Candle Color Overlay (CCO) indicator is a powerful tool for visualizing price movements on a chart. It overlays the chart with customizable colors, highlighting bullish and bearish candles based on their open and close values. This indicator helps traders quickly identify the direction of price movements and assess market sentiment.
How it Works:
The Candle Color Overlay indicator performs the following steps:
1. Calculation of the OHLC (Open, High, Low, Close) values for each candle based on the selected timeframe.
2. Classification of each candle as bullish or bearish:
- A bullish candle is when the closing price is greater than or equal to the opening price.
- A bearish candle is when the closing price is lower than the opening price.
3. Overlaying colors on the chart:
- The indicator applies a bullish color to the background when candles are classified as bullish and a bearish color to the background when candles classified as bearish. This overlay provides a visual representation of price movements.
4. Optional display of price movement labels:
- If enabled, the indicator shows a text label at the bottom of the current candle, indicating the percentage increase or decrease in price during a bullish or bearish background period.
Usage:
To effectively use the Candle Color Overlay indicator, follow these steps:
1. Add the indicator to your chart from the list of available indicators.
2. Configure the indicator's inputs:
- Choose the desired color for bullish candles using the "Bullish Color" input.
- Select the preferred color for bearish candles using the "Bearish Color" input.
- Specify the timeframe for analysis using the "Time Frame" input (default is 1 hour).
- Optionally enable the "Show Background Price Movement" input to display the percentage increase or decrease in price during each background period.
3. Analyze the colored overlay:
- Bullish colors represent candles where the closing price is greater than or equal to the opening price, indicating bullish sentiment.
- Bearish colors represent candles where the closing price is lower than the opening price, indicating bearish sentiment.
4. If enabled, observe the price movement labels
5. Combine the insights from the colored overlay and the price movement labels with other technical analysis tools, such as trend lines, support and resistance levels, or candlestick patterns, to make well-informed trading decisions.
