ICT Single Candle Order Block (SCOB) [UAlgo]The "ICT Single Candle Order Block (SCOB) " designed for traders who utilize the concept of Order Blocks in their trading strategy. Order Blocks are significant price levels where institutions or smart money have placed their trades, leading to potential future price reactions when these levels are revisited. This indicator focuses on identifying and highlighting Single Candle Order Blocks (SCOBs), allowing traders to visually analyze key price levels on their charts.
🔶 What is Single Candle Order Block (SCOB) ?
A Single Candle Order Block (SCOB) is a specific type of Order Block that is identified based on a single candlestick pattern. These patterns indicate potential areas where significant buying or selling interest has occurred, often leading to a notable price reaction when revisited. In the context of this indicator, a bullish SCOB is identified when a specific bullish candlestick pattern is met, and a bearish SCOB is identified based on a bearish candlestick pattern.
Bullish SCOB: Detected when the open price of two bars ago is higher than its close, the close price of the previous bar is higher than its open, the current close price is higher than the open, the low of the previous bar is lower than the low of two bars ago, and the current close is higher than the high of the previous bar.
Bearish SCOB: Detected when the open price of two bars ago is lower than its close, the close price of the previous bar is lower than its open, the current close price is lower than the open, the high of the previous bar is higher than the high of two bars ago, and the current close is lower than the low of the previous bar.
🔶 Key Features
Show Single Candle Order Block (SCOB): Toggle the visibility of the Single Candle Order Blocks on the chart.
Mitigation Method: Choose between "Close" and "Wick" methods for determining whether a SCOB has been mitigated (price has interacted with the block).
Show Last X SCOBs: Control the number of most recent SCOBs displayed on the chart, allowing you to focus on the most relevant price levels.
Volatility Filter: Enable or disable the volatility filter, which uses the Average True Range (ATR) to filter out less significant SCOBs. When enabled, only SCOBs with an ATR above the mean value of the ATR are displayed.
Customizable Colors: Configure the colors for bullish and bearish SCOBs to enhance visual clarity. The indicator uses cooler RGB values to ensure the blocks are distinct and easily noticeable.
🔶 Disclaimer
The "ICT Single Candle Order Block (SCOB) " indicator is provided for educational and informational purposes only. Trading involves significant risk and may not be suitable for all investors.
Past performance is not indicative of future results. Users should use this indicator in conjunction with their own research and trading strategy.
Análisis de tendencia
Super IndicatorOverview of the Combined Indicator
This combined indicator leverages three major technical analysis tools:
Bollinger Bands
Linear Regression Channels
Scalping Strategy Indicators (RSI, MACD, SMA)
Each of these tools provides unique insights into market conditions, and their integration offers a comprehensive view of price movements, trends, and potential trading signals.
1. Bollinger Bands
Purpose:
Bollinger Bands are used to measure market volatility and identify overbought or oversold conditions.
Components:
Basis (Middle Band): Typically a 20-period Simple Moving Average (SMA).
Upper Band: Basis + (2 * Standard Deviation).
Lower Band: Basis - (2 * Standard Deviation).
Why They Complement:
Bollinger Bands expand and contract based on market volatility. When the bands are narrow, it indicates low volatility and potential for a significant move. Wide bands indicate high volatility. This helps traders gauge the strength of market moves and potential reversals.
2. Linear Regression Channels
Purpose:
Linear Regression Channels identify the overall trend direction and measure deviation from the mean price over a specific period.
Components:
Middle Line (Linear Regression Line): The line of best fit through the price data over a specified period.
Upper and Lower Lines: Channels created by adding/subtracting a multiple of the standard deviation or another deviation measure from the regression line.
Why They Complement:
Linear Regression Channels provide a clear visual representation of the trend direction and the range within which prices typically fluctuate. This can help traders identify trend continuations and reversals, making it easier to spot entry and exit points.
3. Scalping Strategy Indicators
Purpose:
The RSI, MACD, and SMA are used to generate short-term buy and sell signals, which are essential for scalping strategies aimed at capturing quick profits from small price movements.
Components:
RSI (Relative Strength Index): Measures the speed and change of price movements, typically over 14 periods. It helps identify overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): Consists of the MACD line, Signal line, and histogram. It helps identify changes in the strength, direction, momentum, and duration of a trend.
SMA (Simple Moving Average): The average price over a specified period, used to smooth out price data and identify trends.
Why They Complement:
These indicators provide short-term signals that can confirm or refute the signals given by Bollinger Bands and Linear Regression Channels. For example, a buy signal might be more reliable if the price is near the lower Bollinger Band and the MACD crosses above its signal line.
How They Work Together
Scenario 1: Confirming Trend Continuations
Bollinger Bands: Price staying near the upper band suggests a strong uptrend.
Linear Regression Channels: Price staying above the middle line confirms the uptrend.
5-Minute Scalping Strategy: RSI not in overbought territory, and MACD showing bullish momentum confirms continuation.
Scenario 2: Identifying Reversals
Bollinger Bands: Price touching or moving outside the lower band suggests oversold conditions.
Linear Regression Channels: Price at the lower channel line indicates potential support.
5-Minute Scalping Strategy: RSI in oversold territory, and MACD showing a bullish crossover indicates a reversal.
Scenario 3: Volatility Breakouts
Bollinger Bands: Bands contracting indicates low volatility and potential breakout.
Linear Regression Channels: Price moving away from the middle line signals potential breakout direction.
Scalping Strategy: MACD and RSI confirming the breakout direction for entry.
Input Parameters:
Define settings for Bollinger Bands, Linear Regression Channels, and the scalping strategy.
Allow users to customize lengths, multipliers, and colors.
Bollinger Bands Calculation:
Calculate the basis (SMA) and standard deviation.
Derive the upper and lower bands from the basis and standard deviation.
Linear Regression Channel Calculation:
Compute the slope, average, and intercept of the linear regression line.
Calculate deviations to plot upper and lower channel lines.
5-Minute Scalping Strategy:
Calculate RSI, MACD, and SMA for short-term trend analysis.
Define buy and sell conditions based on these indicators.
Plotting and Alerts:
Plot Bollinger Bands and Linear Regression Channels on the chart.
Plot buy and sell signals with shapes.
Set alerts for key conditions like exiting the regression channel bounds and trend switches.
Conclusion
By combining Bollinger Bands, Linear Regression Channels, and a 5-minute scalping strategy, this indicator offers a robust tool for traders. Bollinger Bands provide volatility insights, Linear Regression Channels highlight trend direction and potential reversals, and the scalping strategy offers precise entry and exit points. Together, these tools can enhance a trader's ability to make informed decisions in various market conditions.
Market Structure & Session Alerts### Market Structure & Session Alerts Indicator
#### Overview
The "Market Structure & Session Alerts" indicator is a comprehensive tool designed to assist traders in identifying key market structure levels, detecting liquidity sweeps, and receiving alerts for specific trading sessions. This indicator is particularly useful for traders who want to keep an eye on previous high and low levels and be alerted during pre-London and pre-New York sessions.
#### Features
1. **Previous High/Low Levels:**
- **Daily, Weekly, and Monthly Highs and Lows:** The indicator plots the previous day, week, and month high and low levels on the chart. These levels can be crucial for identifying support and resistance zones.
- **Toggle Display:** Users can choose to show or hide these levels using the "Show Previous Day/Week/Month High/Low" option.
2. **Liquidity Sweep Detection:**
- **Liquidity Sweep Identification:** The indicator detects liquidity sweeps when the current price closes above the previous day's high. This can signal potential reversals or continuations in the market.
- **Visual Alerts:** When a liquidity sweep is detected, a green triangle is plotted below the bar.
3. **Session Alerts:**
- **Session Timings:** Users can set specific start and end times for the pre-London and pre-New York sessions to match their timezone.
- **Visual Background Highlight:** The background of the chart is highlighted in yellow during the defined session times to provide a visual cue.
- **Alert Messages:** The indicator can generate alerts to notify traders when the market enters the pre-London or pre-New York session.
4. **Current Price Line:**
- The current price is plotted as a black line, providing a clear visual reference for the current market price.
#### How to Use
1. **Input Parameters:**
- `Show Previous Day/Week/Month High/Low`: Enable or disable the display of previous high/low levels.
- `Show Liquidity Sweep`: Enable or disable the detection and display of liquidity sweeps.
- `Show Session Alerts`: Enable or disable session alerts and background highlights.
2. **Session Timing Adjustments:**
- Set the `Pre-London Start`, `Pre-London End`, `Pre-New York Start`, and `Pre-New York End` times according to your timezone to ensure accurate session alerts.
3. **Alerts:**
- Make sure alerts are enabled in your TradingView settings to receive notifications when the market enters the pre-London or pre-New York sessions.
#### Example Use Cases
- **Day Traders:** Identify potential support and resistance levels using the previous day's high and low.
- **Swing Traders:** Use weekly and monthly high and low levels to determine significant market structure points.
- **Scalpers:** Detect liquidity sweeps to identify potential quick trades.
- **Session Traders:** Be alerted when the market enters key trading sessions to align your trading strategy with major market activities.
This indicator combines multiple market analysis tools into one, providing a robust system for traders to enhance their trading decisions and market awareness.
Cumulative Volume Difference MapThe "Cumulative Volume Difference Map" is designed to help traders and market analysts understand volume trends over various timeframes. This script analyzes the difference between cumulative positive and negative volume to provide a trend outlook based on volume changes compared to previous bars, by calculating the cumulative positive and negative volume, then deriving a ratio that represents the difference between these volumes. By examining this ratio over different timeframes, the indicator helps identify whether the market sentiment is trending positively or negatively.
Key Features
Volume Analysis:
The script accumulates volume for periods where the closing price is higher or lower than the previous bar, providing a clear picture of buying versus selling pressure.
Trend Detection:
It evaluates the volume ratio over multiple look-back periods, allowing users to see how the trend develops over different timeframes. This multi-period analysis helps in identifying consistent trends and potential reversals.
Visual Representation:
The indicator plots trend signals on the chart, visually representing whether the volume trend is positive or negative over various historical periods.
How to Use
Trend Identification:
Use this indicator to identify periods of sustained buying or selling pressure. Positive trends indicate more cumulative buying volume, while negative trends suggest more cumulative selling volume.
Multi-Period Analysis:
Analyze the trend signals over different timeframes to understand both short-term and long-term volume trends. This can help in making informed trading decisions based on the overall market sentiment.
Chart Integration:
The plotted signals can be used alongside other technical indicators to confirm trends or spot divergences, enhancing your overall market analysis strategy.
Candlestick Structure [LuxAlgo]The Candlestick Structure indicator detects major market trends and displays various candlestick patterns aligning with the detected trend, filtering out potentially unwanted patterns as a result. Multiple trend detection methods are included and can be selected by the users.
A dashboard showing the alignment percentage of each individual pattern is also provided.
🔶 USAGE
By distinguishing major and minor trend detection, we can still detect patterns based on minor trends, yet filter out the patterns that do not align with the major trend.
By detecting candlestick patterns that align with a major trend, we can effectively detect the ending points of retracements, potentially providing various entry points of interest within a trend.
Users are able to track the alignment of each candlestick pattern in the dashboard to reveal which patterns typically align with the trend and which may not.
Note: Alignment % only checks if the pattern's direction is the same as the current trend direction. These are only raw readings and not any type of confidence score.
🔶 DETAILS
In this indicator, we are identifying and tracking 16 different Candlestick Patterns.
🔹 Bullish Patterns
Hammer: Identified by a small upper wick (or no upper wick) with a small body, and an elongated lower wick whose length is 2X greater than the candle body’s width.
Inverted Hammer: Identified by a small lower wick (or no lower wick) with a small body, and an elongated upper wick whose length is 2X greater than the candle body’s width.
Bullish Engulfing: A 2 bar pattern identified by a large bullish candle body fully encapsulating (opening lower and closing higher) the previous small (bearish) candle body.
Rising 3: A 5 bar pattern identified by an initial full-bodied bullish candle, followed by 3 bearish candles that trade within the high and low of the initial candle, followed by another full-bodied bullish candle closing above the high of the initial candle.
3 White Soldiers: Identified by 3 full-bodied bullish candles, each opening within the body and closing below the high, of the previous candle.
Morning Star: A 3 bar pattern identified by a full-bodied bearish candle, followed by a small-bodied bearish candle, followed by a full-bodied bullish candle that closes above the halfway point of the first candle.
Bullish Harami: A 2 bar pattern, identified by an initial bearish candle, followed by a small bullish candle whose range is entirely contained within the body of the initial candle.
Tweezer Bottom: A 2 bar pattern identified by an initial bearish candle, followed by a bullish candle, both having equal lows.
🔹 Bearish Patterns
Hanging Man: Identified by a small upper wick (or no upper wick) with a small body, and an elongated lower wick whose length is 2X greater than the candle body’s width.
Shooting Star: Identified by a small lower wick (or no lower wick) with a small body, and an elongated upper wick whose length is 2X greater than the candle body’s width.
Bearish Engulfing: A 2 bar pattern identified by a large bearish candle body fully encapsulating (opening higher and closing lower) the previous small (bullish) candle body.
Falling 3: A 5 bar pattern identified by an initial full-bodied bearish candle, followed by 3 bullish candles that trade within the high and low of the initial candle, followed by another full-bodied bearish candle closing below the low of the initial candle.
3 Black Crows: Identified by 3 full-bodied bearish candles, each open within the body and closing below the low, of the previous candle.
Evening Star: A 3 bar pattern identified by a full-bodied bullish candle, followed by a small-bodied bullish candle, followed by a full-bodied bearish candle that closes below the halfway point of the first candle.
Bearish Harami: A 2 bar pattern, identified by an initial bullish candle, followed by a small bearish candle whose range is entirely contained within the body of the initial candle.
Tweezer Top: A 2 bar pattern identified by an initial bullish candle, followed by a bearish candle, both having equal highs.
🔹 Trend Types
Major trend is displayed at all times, the display will change depending on the trend method selected.
The minor trend can also be visualized; to avoid confusion, the minor trend can optionally be displayed through the candle colors.
Supertrend: Displays Upper and Lower SuperTrend, When we break above the upper, it is considered an Uptrend. When we break below the lower, it is considered a Downtrend.
EMAs: Displays Fast and Slow EMAs, When Fast>Slow, it is considered an Uptrend. When Fast<Slow, it is considered a Downtrend.
ChoCh: Displays ChoCh Lines and Labels, When a Bullish ChoCh occurs, it is now considered as an Uptrend. When a Bearish ChoCh occurs, it is now considered a Downtrend.
Donchian Channel: Displays the Highest and Lowest Values, When we break above the Highest, it is considered an Uptrend. When we break below the Lowest, it is considered a Downtrend.
Below is an example of the Change of Character (ChoCh) method of trend detection.
Note: In this description, each screenshot has a different trend method in use, scroll through if you are looking for a specific one.
🔶 SETTINGS
Candlestick Patterns: Choose which candlestick patterns to include in calculations.
Minor Trend Length: Determines the Donchian Channel length to use for minor trend identification.
Major Trend Method: Determines which trend method to use for identifying Major Trend.
Major Trend Parameters: Various inputs for controlling Major trends, depending on the specific method you have selected.
Color Candles: Colors the chart candles based on minor trend.
Dashboard: Control display size and location of Alignment Dashboard.
Midpoint Line with Dynamic Bands, RSI Filter, and AlertsTitle: Midpoint Line with Dynamic Bands, RSI Filter, and Alerts
Description:
This Pine Script indicator provides a comprehensive analysis tool combining dynamic midpoint bands, RSI filtering, and alert conditions for overbought and oversold market states.
Features:
Dynamic Midpoint Bands:
Calculates the midpoint based on the highest high and lowest low over a user-defined lookback period.
Supports both percentage and fixed point offsets for the upper and lower bands.
Threshold Levels:
Defines overbought and oversold thresholds using a user-specified percentage.
RSI Filter:
Uses a 100-period RSI to filter market trends.
Plots candles in green if RSI > 50 and in red if RSI < 50.
Visual Overlays:
Fills the overbought area in red and the oversold area in green.
Plots green arrows below the bars when RSI > 50 and the price is in the oversold area.
Plots red arrows above the bars when RSI < 50 and the price is in the overbought area.
Alerts:
Generates alerts for potential long and short trading opportunities based on the defined conditions.
How to Use:
Customize the lookback period, percentage offset, fixed point offset, and threshold percentage as needed.
Use the RSI filter to identify the prevailing market trend.
Watch for visual signals (arrows) indicating potential buy or sell opportunities.
Set up alerts to receive notifications when long or short conditions are met.
This script provides traders with a robust tool for identifying key market conditions and making informed trading decisions. Customize the parameters to fit your trading strategy and use the visual cues and alerts to enhance your market analysis.
Intermarket Correlation TableThe Correlation Coefficient is used to measure the correlation between two sets of data. In the trading world, the Correlation Coefficient is a measure of the correlation between two data sets of financial instruments. The correlation between two financial instruments is the degree in which they are related. Correlation is based on a scale of 1 to -1. The closer the Correlation Coefficient is to 1, the higher their positive correlation. The instruments will move up and down together. The closer the Correlation coefficient is to -1, the more they move in opposite directions. A value at 0 indicates that there is no correlation.
This indicator uses the built in ta.correlation function to calculate the correlation coefficient between DXY and NQ, ES, YM, US10Y, and ZN respectively. It then presents the data in a customizable table that is view as an overlay on your chart.
Adjust the length of the correlation factor to calculate higher time frame correlation.
Asset background changes based on current candle direction.
Coefficient background color changes based on whether the assets are properly correlated.
DXY is inversely correlated to NQ, ES, YM, and ZN.
DXY is directly correlated to US10Y.
The colors are reflected as such.
Market Structures + ZigZag [TradingFinder] CHoCH/BOS - MSS/MSB🟣 Introduction
🔵 Market Structure
Grasping market structure entails examining market behavior. Essentially, market structure refers to the formation and progression of the market within its trends.
Market structures are generally fractal and nested, leading us to classify them into internal (minor) and external (major) structures. There are several definitions of market structure, with differing perspectives such as Smart Money and ICT offering their own interpretations.
🔵 Zig Zag
The Zigzag indicator is a lagging tool that identifies points on a price chart where significant changes occur compared to the previous wave. By connecting these points, it helps traders detect trends.
This indicator minimizes random price fluctuations, aiming to clarify the primary price trend.
Pivots are points on a price chart where the direction changes. Also known as reversal points, pivots form when supply and demand forces overpower one another.
There are various types of technical analysis pivots, which can be divided into two categories: minor pivots and major pivots, each with distinct significance in analysis.
Major Pivot : These pivots signify substantial changes in the chart's direction and occur at the end of trends. Analysts focusing on primary analysis prioritize major pivot points. In fact, most technical analysis tools are evaluated and based on major pivots.
Minor Pivot : These pivots highlight smaller, subsidiary points and directions, appearing at the end of corrections. Analysts who focus on minor pivots represent small trends. It's important to note that minor pivots are not suitable for use in primary technical tools.
Identifying Minor and Major Pivots :
Minor pivots are formed between two major pivots and do not break the opposing major pivot. (Internal Pivot)
Major pivots are those that either successfully break the opposing pivot or move beyond the previous pivot of the same type. (External Pivot)
🟣 How to Use
🔵 Identifying Break of Structure (BOS)
In a given trend, such as a downtrend, a Break of Structure occurs when the price drops below the previous low and forms a new low (LL). In an uptrend, a BOS (MSB) happens when the price rises and exceeds the last high.
To confirm a trend, at least one BOS is required. The break above or below the previous high or low must be validated by the closing of at least one candle beyond that level.
🔵 Identifying Change of Character (CHOCH)
Change of Character (CHOCH) is an essential concept in market structure analysis, indicating a trend change. In other words, a trend concludes with a CHOCH (MSS). For example, in a downtrend, the price declines with BOS.
While BOS highlights the trend's strength, a CHOCH occurs when the price rises and surpasses the last high, signaling a transition from a downtrend to an uptrend.
This does not imply immediately entering a buy trade; instead, it is prudent to wait for a BOS in the upward direction to confirm the uptrend.
Unlike BOS, confirming a CHOCH does not require a candle to close; simply breaking above or below the previous high or low with the candle's wick is sufficient. The following examples illustrate bearish and bullish CHOCH.
Terms :
Market Structure Shift = MSS
Market Structure Break = MSB
🔵 Zig Zag
Based on identifying pivots and drawing zigzag lines, you can have different uses of this indicator.
Including :
Identifying pivot types along with major and minor recognition.
Identifying internal and external breakouts.
Identifying support and resistance levels.
Identifying Elliott Waves.
Identifying classic patterns.
Identifying pivots with higher validity.
Identifying trends and range areas.
🟣 Settings
Pivot Period Market Structure and ZigZag Line: Using this input, you can determine the pivot period for identifying swings.
Through the settings, you can customize the display, visibility, and color of each line as desired.
Multi Asset Histogram [ChartPrime]Multi Asset Histogram Indicator
Overview:
The "Multi Asset Histogram" indicator provides a comprehensive visualization of the performance of multiple assets relative to each other. By calculating a score for each asset and displaying it in a histogram format, this indicator helps traders quickly identify the trends, dominant asset and the average performance of the assets in the selected group.
Key Features:
◆ Multi-Asset Score Calculation:
The indicator calculates a trend score for each selected asset based on the price source (e.g., hl2).
The trend score is determined by comparing the current price to the prices over the past bars back defined by user, adding or subtracting points based on whether the current price is higher or lower than previous prices.
// Score Function
trscore(src) =>
total = 0.0
for i = 1 to 50
total += (src >= nz(src ) ? 1 : -1)
total
◆ Flexible Symbol Input:
Traders can input up to 10 different symbols (e.g., BTCUSD, ETHUSD, etc.) to be included in the histogram analysis.
◆ Dynamic Visualization:
A histogram is plotted for each asset, with bars colored based on the score, providing a clear visual representation of the relative performance.
Color gradients from red to aqua indicate the performance, with red representing negative scores and aqua representing positive scores.
◆ Adaptive Histogram Lines:
The width and placement of histogram lines adapt based on the calculated scores, ensuring clear visualization regardless of the values.
Dashed lines represent the mean score of all assets, helping traders identify the overall market trend.
◆Detailed Labels and Values:
Labels are placed on the histogram to display the exact score for each asset.
Mean value and zero line labels provide additional context for the overall performance.
◆ Visual Scaling Lines:
Zero line and mean line are clearly marked, helping traders understand the distribution and scale of scores.
Scales on the left and right of the histogram indicate the performance range.
◆ Informative Table:
A table is displayed on the chart, showing the dominant asset (the one with the highest score) and the mean score of all assets.
The table updates dynamically to reflect real-time changes in asset performance.
◆ Settings:
Length: The value of number bars back is greater or less than the current value of the source
Source: The price source to be used for score calculation (e.g., hl2).
Symbols: Up to 10 different asset symbols can be input for analysis.
Usage Notes:
This indicator is useful for traders who monitor multiple assets simultaneously and need a quick visual reference to identify the strongest and weakest performers.
The color coding and dynamic labels make it easy to interpret the relative performance and make informed trading decisions.
This indicator is designed to enhance multi-asset analysis by providing a clear, visual representation of each asset's performance relative to the others, making it easier to identify trends and dominant assets in the market.
Power Hour Money StrategyDescription of the Pine Script Code: "Power Hour Money Strategy"
This Pine Script strategy, "Power Hour Money Strategy," is designed to trade based on the alignment of multiple time frames (month, week, day, and hour). The strategy aims to enter long or short positions depending on whether all selected time frames are in sync (all green for long positions, all red for short positions). Additionally, the script includes configurations for trading during specific sessions and automatically closing positions at the end of the trading day.
Core Features:
1. Time Frame Sync Check:
- The strategy evaluates whether the current price is higher than the opening price for the month, week, day, and hour to determine if each time frame is "green" (bullish) or "red" (bearish).
2. Session Control:
- The user can select between different trading sessions:
- "NY Session 9:30-11:30"
- "Extended NY Session 8-4"
- "All Sessions"
- Trades are only executed if the current time falls within the selected session.
3. Trailing Stop Mechanism:
- The strategy includes an optional trailing stop mechanism for both long and short positions.
- The trailing stop is configured with a percentage loss from the current price to protect gains.
4. End-of-Day Position Management:
- An option is provided to automatically close all positions at the end of the trading day (5:45 PM Eastern Time).
Detailed Code Breakdown:
1. Input Settings:
- **Session Selection**: Allows the user to choose the trading session.
- **End-of-Day Close**: Option to automatically close positions at the end of the day.
- **Trailing Stop Loss**: Enables or disables the trailing stop loss feature and sets the percentage for long and short positions.
2. Time Frame Calculations:
- The script uses `request.security` to get the opening prices for higher time frames (monthly, weekly, daily, and hourly).
- It compares the current close price to these opening prices to determine if each time frame is green or red.
3. Session Time Definitions:
- Defines the start and end times for the NY session (9:30-11:30 AM) and the extended session (8:00 AM - 4:00 PM).
4. Trade Execution:
- The strategy checks if all selected time frames are in sync and if the current time falls within the trading session.
- If all conditions are met, it enters a long or short position.
5. Trailing Stop Loss Implementation:
- Adjusts the stop price based on the trailing percentage and the current position's size.
- Automatically exits positions if the trailing stop condition is met.
6. End-of-Day Close Implementation:
- Uses a timestamp to check if the current time is 5:45 PM Eastern Time.
- Closes all positions if the end-of-day condition is met.
7. Plotting and Logging:
- Plots indicators to visualize the green/red status of each time frame.
- Logs information about the status of each time frame for debugging and analysis.
Example Usage:
Entering a Long Position: If the month, week, day, and hour are all green and the current time is within the selected session, a long position is entered.
Entering a Short Position: If the month, week, day, and hour are all red and the current time is within the selected session, a short position is entered.
Trailing Stop: Protects gains by exiting the position if the price moves against the set trailing stop percentage.
End-of-Day Close: Automatically closes all open positions at 5:45 PM Eastern Time if enabled.
This strategy is particularly useful for traders who want to ensure that multiple time frames are in alignment before entering a trade and who wish to manage positions effectively throughout the trading day with specific session controls and trailing stops.
Double FVG-BPR [QuantVue]The Double FVG BPR Indicator is a versatile tool that helps traders identify potential support and resistance levels through the concept of balanced price ranges.
A Balanced Price Range (BPR) is a zone on a price chart where the market has found equilibrium after a period of price imbalance.
It is identified by detecting a Fair Value Gap (FVG) in one direction, followed by an overlapping Fair Value Gap in the opposite direction.
Components of a Balanced Price Range
Fair Value Gap (FVG): A FVG occurs when there is a rapid price movement, creating a gap in the price chart where minimal trading occurs. This gap represents an imbalance between supply and demand.
Bullish FVG: A bullish FVG is identified when the low of a candle is higher than the high of a candle two periods ago, and the close of the previous candle is higher than the high of that same period.
Bearish FVG: A bearish FVG is identified when the high of a candle is lower than the low of a candle two periods ago, and the close of the previous candle is lower than the low of that same period.
Overlapping Fair Value Gap: For a BPR to be formed, an initial FVG must be followed by an overlapping FVG in the opposite direction. This creates a balanced zone where the price has moved up (or down) quickly and then moved down (or up) with similar intensity, suggesting a temporary equilibrium.
The area between the high and low points of these overlapping FVGs forms the BPR. This zone represents a temporary market equilibrium where supply and demand have balanced out after a period of significant price movement in both directions.
How to Use
Support and Resistance Levels: The upper and lower boundaries of the BPR act as dynamic support and resistance levels. Traders can use these levels to place buy and sell orders, anticipating that the price may find support or face resistance within these zones.
Trend Reversal and Continuation: The BPR can signal potential trend reversals or continuations.
If the price moves back into the BPR after a breakout, it may indicate a reversal. Conversely, if the price breaks out of the BPR with strong momentum, it may signal a trend continuation.
Moving Average CyclesMoving Average Cycles Indicator
Description:
The Moving Average Cycles indicator is a versatile tool designed to help traders identify and analyze bullish and bearish cycles based on price movements relative to a moving average. This indicator offers valuable insights into market trends and potential reversal points.
Key Features:
Customizable Moving Average: Users can adjust the MA period and resolution (Daily, Weekly, Monthly) to suit their trading style.
Cycle Identification: The indicator tracks bull and bear cycles, providing visual cues through color-coded histograms.
Comprehensive Metrics: A detailed table displays crucial cycle statistics, including:
Current cycle information (candles and % distance from MA)
Maximum and average cycle lengths (in candles)
Maximum and average percentage distances from the MA
How to Use:
Apply the indicator to your chart and adjust the MA period and resolution as needed.
Green histograms represent bullish cycles, while red histograms indicate bearish cycles.
Use the metrics table to gain insights into historical cycle behavior and current market positioning.
This indicator is designed to complement your existing trading strategy by providing a clear visual representation of market cycles and detailed statistical information. It can be particularly useful for identifying potential trend reversals and gauging the strength of current trends compared to the past.
Note: Past performance does not guarantee future results. This indicator is meant for informational purposes only and should not be considered as financial advice. Always combine multiple analysis tools and conduct your own research before making trading decisions.
This script is published as open-source under the Mozilla Public License 2.0. Feel free to use and modify it, but please provide appropriate credit if you build upon this work.
I hope you find this Moving Average Cycles indicator helpful in your trading journey. If you have any questions or suggestions for improvement, please feel free to leave a comment below.
Correlation Analysis Tool📈 What Does It Do?
Correlation Calculation: Measures the correlation between a selected asset (Asset 1) and up to four additional assets (Asset 2, Asset 3, Asset 4, Asset 5).
User Inputs: Allows you to define the primary asset and up to four comparison assets, as well as the period for correlation calculations.
Correlation Matrix: Displays a matrix of correlation coefficients as a text label on the chart.
🔍 How It Works
Inputs: Enter the symbols for Asset 1 (main asset) and up to four other assets for comparison.
Correlation Period: Specify the period over which the correlations are calculated.
Calculations: Computes log returns for each asset and calculates the correlation coefficients.
Display: Shows a textual correlation matrix at the top of the chart with percentage values.
⚙️ Features
Customizable Assets: Input symbols for one primary asset and up to four other assets.
Flexible Period: Choose the period for correlation calculation.
Correlation Coefficients: Outputs correlation values for all asset pairs.
Textual Correlation Matrix: Provides a correlation matrix with percentage values for quick reference.
🧩 How to Use
Add the Script: Apply the script to any asset’s chart.
Set Asset Symbols: Enter the symbols for Asset 1 and up to four other assets.
Adjust Correlation Period: Define the period for which correlations are calculated.
Review Results: Check the correlation matrix displayed on the chart for insights.
🚨 Limitations
Historical Data Dependency: Correlations are based on historical data and might not reflect future market conditions.
No Visual Plots Yet: This script does not include visual plots; it only provides a textual correlation matrix.
💡 Best Ways To Use
Sector Comparison: Compare assets within the same sector or industry for trend analysis.
Diversification Analysis: Use the correlations to understand how different assets might diversify or overlap in your portfolio.
Strategic Decision Making: Utilize correlation data for making informed investment decisions and portfolio adjustments.
📜 Disclaimer
This script is for educational and informational purposes only. Please conduct your own research and consult with a financial advisor before making investment decisions. The author is not responsible for any losses or damages resulting from the use of this script.
Symbols Correlation, built for pair tradingOverview:
This script is designed for pairs trading. If you are not familiar with pairs trading, I suggest learning about it, as it can be a profitable strategy in neutral markets (or neutral trends between two assets). The correlation between two assets is the foundation of pairs trading, and without it, the chances of making a profit are low.
Correlation can be described in two opposite ways:
1: Absolute positive correlation (meaning the asset prices move together).
-1: Absolute negative correlation (meaning the asset prices move in opposite directions).
Any value between 1 and -1 indicates some degree of correlation, but generally, values higher than 0.7 or lower than -0.7 are considered significant.
Features:
Typically, correlation is measured using the closing prices. This script adds three more correlation studies based on open, high, and low prices. By using all four lines, we can get a better understanding of the pair's correlation.
How to Read This Indicator:
To use this indicator effectively, you need to input your pair as a ratio. For example, if your pair is TSN and ZBH, enter it in the symbol search as: TSN/ZBH
Gray Area : This area indicates "no high correlation" (default is between -0.8 and 0.8, adjustable in the settings).
Gray Line : This represents the close correlation within the "no high correlation" range.
Green Line : This represents the close correlation within the "high correlation" range.
Dot Lines : These represent the open, high, and low correlations.
Example Interpretations:
A : All four lines are close together & the line is green – very good correlation!
B : The line is gray, and the dot lines are apart – not a strong correlation.
C : When the close correlation remains green for a long time, it signals a strong correlation.
Application in Pairs Trading:
In pairs trading, aim for the highest possible correlation, and it is important to have a sustained correlation over a long period. Pairs that correlate only part of the year but not consistently are less reliable for pairs trading.
This is an example for good correlation for pairs trading:
This is an example for bad correlation for pairs trading:
Here is a view of my full indicators when doing pairs trading:
Supports & Resistances [UAlgo]The "Supports & Resistances " indicator is designed to identify and visualize key support and resistance levels on the price chart. It utilizes the Average True Range (ATR) and Pivot Points to define the boundaries of S & R zones and considers historical price action to assess the strength of these zones.
🔶 How to Obtain Zones
The script continuously analyzes the price action and identifies potential support and resistance zones based on the following criteria:
Zone Creation: For swing highs, a zone is created with the high price at the zone length as the top and the top minus the Average True Range (ATR) as the bottom. Conversely, for swing lows, the zone is created with the low price at the zone length as the bottom and the low plus the ATR as the top.
Zone Strength Calculation: The script iterates through historical bars within the zone and counts how many times the price (low for support, high for resistance) touched but failed to break entirely through the zone. This count is assigned as the zone's "strength".
Zone Display and Removal: It identifying zones by assigning a "strength" value based on how many times the price has approached but failed to break the zone. This helps prioritize stronger potential support/resistance levels. Only zones exceeding the defined "strength threshold" are visually displayed on the chart. Weaker zones or those broken by price are automatically removed.
🔶 Parameters
Zone Length: Traders can adjust S & R detection sensitivity, length to be used to find pivot points.
Strength Threshold: Set the minimum number of times the price needs to touch but fail to break a zone for it to be considered "strong" and displayed.
Visual Settings: Tailor the appearance of the support/resistance zones by defining separate colors and text size for borders, backgrounds, and zone text.
🔶 Disclaimer
The "Supports & Resistances " indicator is provided for educational and informational purposes only.
It should not be considered as financial advice or a recommendation to buy or sell any financial instrument.
The use of this indicator involves inherent risks, and users should employ their own judgment and conduct their own research before making any trading decisions. Past performance is not indicative of future results.
🔷 Related Scripts
Support and Resistance with Signals
ATR Based Support and Resistance Zones
Zero Lag Exponential Moving Average ForLoop [InvestorUnknown]Overview
The Zero Lag Exponential Moving Average (ZLEMA) ForLoop indicator is designed for traders seeking a responsive and adaptive tool to identify trend changes. By leveraging a range of lengths and different moving average (MA) types, this indicator helps smooth out price data and provides timely signals for market entry and exit.
User Inputs
Start and End Lengths: Define the range of lengths over which the IIRF values are calculated.
Moving Average Type: Choose from EMA, SMA, WMA, VWMA, or TMA for trend smoothing.
Moving Average Length: Specify the length for the chosen MA type.
Calculation Source: Select the price data used for calculations.
Signal Calculation
Signal Mode (sigmode): Determines the type of signal generated by the indicator. Options are "Fast", "Slow", "Thresholds Crossing", and "Fast Threshold".
1. Slow: is a simple crossing of the midline (0).
2. Fast: positive signal depends if the current MA > MA or MA is above 0.99, negative signals comes if MA < MA or MA is below -0.99.
3. Thresholds Crossing: simple ta.crossover and ta.crossunder of the user defined threshold for Long and Short.
4. Fast Threshold: signal changes if the value of MA changes by more than user defined threshold against the current signal
col1 = MA > 0 ? colup : coldn
var color col2 = na
if MA > MA or MA > 0.99
col2 := colup
if MA < MA or MA < -0.99
col2 := coldn
var color col3 = na
if ta.crossover(MA,longth)
col3 := colup
if ta.crossunder(MA,shortth)
col3 := coldn
var color col4 = na
if (MA > MA + fastth)
col4 := colup
if (MA < MA - fastth)
col4 := coldn
color col = switch sigmode
"Slow" => col1
"Fast" => col2
"Thresholds Crossing" => col3
"Fast Threshold" => col4
Visualization Settings
Bull Color (colup): The color used to indicate bullish signals.
Bear Color (coldn): The color used to indicate bearish signals.
Color Bars (barcol): Option to color the bars based on the signal.
Custom function
// Function to calculate an array of ZLEMA values over a range of lengths
ZLEMAForLoop(a, b, c, s) =>
// Initialize an array to hold ZLEMA trend values
var Array = array.new_float(b - a + 1, 0.0)
// Loop through the range from 'a' to 'b'
for x = 0 to (b - a)
// Calculate the current length
len = a + x
// Calculate the lag based on the length
lag = math.floor((len - 1) / 2)
// Calculate the smoothing factor alpha
alpha = 2 / (len + 1)
// Initialize the ZLEMA variable
zlema = 0.0
// Compute the ZLEMA value
zlema := na(zlema ) ? (s + s - s ) : alpha * (s + s - s ) + (1 - alpha) * nz(zlema )
// Determine the trend based on ZLEMA value
trend = zlema > zlema ? 1 : -1
// Store the trend in the array
array.set(Array, x, trend)
// Calculate the average of the trend values
Avg = array.avg(Array)
// Apply the selected moving average type to the average trend value
float MA = switch maType
"EMA" => ta.ema(Avg, c) // Exponential Moving Average
"SMA" => ta.sma(Avg, c) // Simple Moving Average
"WMA" => ta.wma(Avg, c) // Weighted Moving Average
"VWMA" => ta.vwma(Avg, c) // Volume-Weighted Moving Average
"TMA" => ta.trima(Avg, c) // Triangular Moving Average
=>
runtime.error("No matching MA type found.") // Error handling for unsupported MA type
float(na)
// Return the array of trends, the average trend, and the moving average
Important Considerations
Speed vs. Stability: The ZLEMA ForLoop is designed for fast response times, making it ideal for short-term trading strategies. However, its sensitivity also means it may generate more signals, some of which could be false positives.
Use with Other Indicators: To improve the reliability of the signals, it is recommended to use the ZLEMA ForLoop in conjunction with other technical indicators.
Customization: Tailor the settings to match your trading style and risk tolerance. Adjusting the lengths, MA type, and thresholds can significantly impact the indicator's performance.
Conclusion
The ZLEMA ForLoop indicator offers a flexible tool for traders looking to capture trend changes quickly. By providing multiple modes and customization options, it allows traders to fine-tune their analysis and make informed decisions. For best results, use this indicator alongside other analytical tools to confirm signals and avoid potential false entries.
Infinite Impulse Response Filter ForLoop [InvestorUnknown]Overview
The Infinite Impulse Response Filter ForLoop indicator is designed for seeking quick and accurate trend identification. Leveraging the Infinite Impulse Response (IIR) filter technique, this indicator provides fast and responsive signals to aid in market timing and trend following.
User Inputs
Start and End Lengths: Define the range of lengths over which the IIRF values are calculated.
Moving Average Type: Choose from EMA, SMA, WMA, VWMA, or TMA for trend smoothing.
Moving Average Length: Specify the length for the chosen MA type.
Calculation Source: Select the price data used for calculations (default is close price).
Signal Calculation
Signal Mode (sigmode): Determines the type of signal generated by the indicator. Options are "Fast", "Slow", "Thresholds Crossing", and "Fast Threshold".
1. Slow: is a simple crossing of the midline (0).
2. Fast: positive signal depends if the current MA > MA or MA is above 0.99, negative signals comes if MA < MA or MA is below -0.99.
3. Thresholds Crossing: simple ta.crossover and ta.crossunder of the user defined threshold for Long and Short.
4. Fast Threshold: signal changes if the value of MA changes by more than user defined threshold against the current signal
col1 = MA > 0 ? colup : coldn
var color col2 = na
if MA > MA or MA > 0.99
col2 := colup
if MA < MA or MA < -0.99
col2 := coldn
var color col3 = na
if ta.crossover(MA,longth)
col3 := colup
if ta.crossunder(MA,shortth)
col3 := coldn
var color col4 = na
if (MA > MA + fastth)
col4 := colup
if (MA < MA - fastth)
col4 := coldn
color col = switch sigmode
"Slow" => col1
"Fast" => col2
"Thresholds Crossing" => col3
"Fast Threshold" => col4
Visualization Settings
Bull Color (colup): The color used to indicate bullish signals.
Bear Color (coldn): The color used to indicate bearish signals.
Color Bars (barcol): Option to color the bars based on the signal.
Custom function
// Function to calculate an array of IIRF values over a range of lengths
IIRFforLoop(a, b, c, s) =>
// Initialize an array to store IIRF values
var Array = array.new_float(b - a + 1, 0.0)
// Loop over the range from 'a' to 'b'
for x = 0 to (b - a)
// Calculate the length for the current iteration
len = a + x
// Calculate the IIRF alpha parameter
iirfAlpha = 2 / (len + 1)
// Calculate the lag for the IIRF calculation
iirfLag = math.round(1 / iirfAlpha - 1)
// Initialize the IIRF value
iirf = 0.0
// Update the IIRF value using the IIR filter formula
iirf := iirfAlpha * (s + ta.change(s, iirfLag)) + (1 - iirfAlpha) * nz(iirf )
// Determine the trend based on the current and previous IIRF values
trend = iirf > iirf ? 1 : -1
// Store the trend value in the array
array.set(Array, x, trend)
// Calculate the average of the IIRF values in the array
Avg = array.avg(Array)
// Calculate the moving average of the average IIRF values based on the selected MA type
float MA = switch maType
"EMA" => ta.ema(Avg, c) // Exponential Moving Average
"SMA" => ta.sma(Avg, c) // Simple Moving Average
"WMA" => ta.wma(Avg, c) // Weighted Moving Average
"VWMA" => ta.vwma(Avg, c) // Volume Weighted Moving Average
"TMA" => ta.trima(Avg, c) // Triangular Moving Average
=>
runtime.error("No matching MA type found.") // Error handling for invalid MA type
float(na)
// Return the array of IIRF values, their average, and the moving average
Important Considerations
Rapid Signal Response: The IIRF ForLoop is designed to provide very fast trend signals, making it suitable for short-term trading and quick decision-making.
Complementary Tool: While powerful, the IIRF ForLoop should be used in conjunction with other indicators and market analysis techniques to confirm signals and improve trading accuracy.
Conclusion
The Infinite Impulse Response Filter ForLoop indicator is a highly responsive and flexible tool that can significantly enhance your trading strategy. Its ability to quickly identify trends and generate signals based on various moving average types and customizable thresholds makes it invaluable for active traders. For the best results, use this indicator alongside other technical analysis tools to confirm signals and ensure robust trading decisions.
Moving Average Cross Probability [AlgoAlpha]Moving Average Cross Probability 📈✨
The Moving Average Cross Probability by AlgoAlpha calculates the probability of a cross-over or cross-under between the fast and slow values of a user defined Moving Average type before it happens, allowing users to benefit by front running the market.
✨ Key Features:
📊 Probability Histogram: Displays the Probability of MA cross in the form of a histogram.
🔄 Data Table: Displays forecast information for quick analysis.
🎨 Customizable MAs: Choose from various moving averages and customize their length.
🚀 How to Use:
🛠 Add Indicator: Add the indicator to favorites, and customize the settings to suite your trading style.
📊 Analyze Market: Watch the indicator to look for trend shifts early or for trend continuations.
🔔 Set Alerts: Get notified of bullish/bearish points.
✨ How It Works:
The Moving Average Cross Probability Indicator by AlgoAlpha determines the probability by looking at a probable range of values that the price can take in the next bar and finds out what percentage of those possibilities result in the user defined moving average crossing each other. This is done by first using the HMA to predict what the next price value will be, a standard deviation based range is then calculated. The range is divided by the user defined resolution and is split into multiple levels, each of these levels represent a possible value for price in the next bar. These possible predicted values are used to calculate the possible MA values for both the fast and slow MAs that may occur in the next bar and are then compared to see how many of those possible MA results end up crossing each other.
Stay ahead of the market with the Moving Average Cross Probability Indicator AlgoAlpha! 📈💡
Aroon ForLoop [InvestorUnknown]Overview
The Aroon ForLoop indicator is designed to calculate an array of Aroon values over a range of lengths, providing trend signals based on various moving averages. It offers flexibility with different signal modes and visual customizations.
User Input
Start Length (a) and End Length (b): Defines the range for calculating Aroon values.
MA Type (maType) and MA Length (c): Selects the moving average type (EMA, SMA, WMA, VWMA, TMA) and its length.
Calculation Source (s): Specifies the data source for calculations.
Signal Mode (sigmode): Offers options like Fast, Slow, Thresholds Crossing, and Fast Threshold to generate signals.
Thresholds: Configures long and short thresholds for signal generation.
Visualization Options: Customizes bull and bear colors, and enables/disables bar coloring.
Alert Settings: Chooses whether to wait for bar close for alert confirmation.
Signal Calculation
Signal Mode (sigmode): Determines the type of signal generated by the indicator. Options are "Fast", "Slow", "Thresholds Crossing", and "Fast Threshold".
1. Slow: is a simple crossing of the midline (0).
2. Fast: positive signal depends if the current MA > MA or MA is above 0.99, negative signals comes if MA < MA or MA is below -0.99.
3. Thresholds Crossing: simple ta.crossover and ta.crossunder of the user defined threshold for Long and Short.
4. Fast Threshold: signal changes if the value of Aroon MA changes by more than user defined threshold against the current signal
col1 = MA > 0 ? colup : coldn
var color col2 = na
if MA > MA or MA > 0.99
col2 := colup
if MA < MA or MA < -0.99
col2 := coldn
var color col3 = na
if ta.crossover(MA,longth)
col3 := colup
if ta.crossunder(MA,shortth)
col3 := coldn
var color col4 = na
if (MA > MA + fastth)
col4 := colup
if (MA < MA - fastth)
col4 := coldn
color col = na
if sigmode == "Slow"
col := col1
if sigmode == "Fast"
col := col2
if sigmode == "Thresholds Crossing"
col := col3
if sigmode == "Fast Threshold"
col := col4
else
na
Visualization Settings
Bull Color (colup): The color used to indicate bullish signals.
Bear Color (coldn): The color used to indicate bearish signals.
Color Bars (barcol): Option to color the bars based on the signal.
Custom Function
AroonForLoop: Calculates Aroon values over the specified range, determines the trend, and averages the results using the chosen moving average type.
AroonForLoop(a, b, c) =>
var SignalArray = array.new_float(b - a + 1, 0.0)
for x = 0 to (b - a)
len = a + x
upper = 100 * (ta.highestbars(high, len + 1) + len)/len
lower = 100 * (ta.lowestbars(low, len + 1) + len)/len
trend = upper > lower ? 1 : -1
array.set(SignalArray, x, trend)
Avg = array.avg(SignalArray)
float MA = switch maType
"EMA" => ta.ema(Avg, c)
"SMA" => ta.sma(Avg, c)
"WMA" => ta.wma(Avg, c)
"VWMA" => ta.vwma(Avg, c)
"TMA" => ta.trima(Avg, c)
=>
runtime.error("No matching MA type found.")
float(na)
Important Considerations
Fast Responses: The Aroon ForLoop indicator is designed for quick identification of trend changes, making it ideal for fast-paced trading environments.
Moving Average Types: Supports various MA types (EMA, SMA, WMA, VWMA, TMA) for adaptable smoothing of trend signals.
Combination with Other Indicators: For more reliable signals, use this indicator in conjunction with other technical indicators.
TSI w SuperTrend decision - Strategy [presentTrading]This strategy aims to improve upon the performance of Traidngview's newly published "Trend Strength Index" indicator by incorporating the SuperTrend for better trade execution and risk management. Enjoy :)
█ Introduction and How it is Different
The "TSI with SuperTrend Decision - Strategy" combines the Trend Strength Index (TSI) with SuperTrend indicators to determine entry and exit points. Unlike traditional strategies that rely solely on one indicator, this method leverages the strengths of both TSI and SuperTrend to provide a more nuanced and adaptive trading strategy.
This dual approach allows for capturing trends more effectively, especially in volatile markets.
BTCUSD 8h LS Performance
█ Strategy, How it Works: Detailed Explanation
🔶 Trend Strength Index (TSI)
The TSI is a momentum oscillator that shows both the direction and strength of a trend. It is calculated by comparing the price movement with the bar index over a specified period. The formula for TSI is as follows:
```
TSI = (PC / |PC|)
where:
PC = Change in price over the period
```
In this strategy, TSI is calculated using the closing prices and a default period of 64 bars. The TSI values help identify overbought and oversold conditions, providing signals for potential market reversals.
🔶 SuperTrend Indicator
The SuperTrend is a trend-following indicator based on the average true range (ATR). It helps in identifying the direction of the market trend. The SuperTrend calculation involves:
```
SuperTrend = HLC3 ± (Factor * ATR)
where:
HLC3 = (High + Low + Close) / 3
Factor = User-defined multiplier
ATR = Average True Range over a period
```
The SuperTrend settings in this strategy include a length of 10 bars and a factor of 3.0.
Last Bull Cycle of BTC
🔶 Entry and Exit Conditions
The strategy uses the TSI and SuperTrend together to determine entry and exit points:
- Long Entry: When the SuperTrend indicates a downward trend (st.d < 0) and the TSI is above the oversold level (-0.241).
- Long Exit: When the SuperTrend indicates an upward trend (st.d > 0) and the TSI is below the overbought level (0.241).
- Short Entry: When the SuperTrend indicates an upward trend (st.d > 0) and the TSI is below the overbought level (0.241).
- Short Exit: When the SuperTrend indicates a downward trend (st.d < 0) and the TSI is above the oversold level (-0.241).
█ Trade Direction
The strategy allows users to select the trade direction through the `tradeDirection` input. The options are:
- Both: Enables both long and short trades.
- Long: Enables only long trades.
- Short: Enables only short trades.
█ Default Settings
- TSI Length: 64
- SuperTrend Length: 10
- SuperTrend Factor: 3.0
- Trade Direction: Both
- Take Profit (%): 30.0
- Stop Loss (%): 20.0
Impact of Default Settings
- TSI Length: A longer TSI period smooths out noise but may lag in identifying trends. A shorter period is more responsive but can generate false signals.
- SuperTrend Length: A shorter length provides quicker signals but can be prone to whipsaws. A longer length is more reliable but may delay entries and exits.
- SuperTrend Factor: A higher factor increases the distance of the SuperTrend from the price, reducing sensitivity to minor price fluctuations.
- Trade Direction: Allows flexibility in trading strategies by enabling both long and short trades based on market conditions.
- Take Profit and Stop Loss: These settings manage risk by automatically closing trades at predefined profit or loss levels. Higher percentages provide larger potential gains but also higher risk.
Hindsight TrendNon-realtime but highly accurate trend analyzer with only one fundamental parameter ( period aka "minimum trend length")
Basically Hindsight Trend is pivot points on steroids (handles many cases much better). Plus it shows the trend line.
Period
I usually like periods of 10, 20 or 30.
The indicator's delay is identical to the chosen period.
You can actually try a low period like 4 or 5 to get something resembling a realtime indicator.
Uptrends are based on candle lows, downtrends are based on candle highs. So it is possible to have an uptrend and a downtrend at the same time.
Triangles
At trend start, a triangle is drawn. (Trendline isn't always there if the trend didn't last that long.)
Triangle size shows how long the high or low that started the trend remained unbroken. E.g. with period 20: Small triangle = 20+ candles, medium triangle = 40+ candles, big triangle = 80+ candles. So a big triangle marks an important reversal point.
How Hindsight Trend works
Whenever a candle completes, its high and low are saved as potentially "notable" points. A high or low is the more notable the longer it stays unbroken (= not touched again by price).
Now we simply take the notable highs and lows (as in, staying unbroken at least for the user-selected period)... and connect them together - if they are close enough to each other (less than "period" candles away). And decorate the first point in each trend with a triangle.
We only know whether a point is notable after "period" more candles have printed, so that's where the indicator's delay comes from.
Finally we divide the period by 2 and look at highs and lows which are unbroken for that shorter time. While they are not fully "notable" as defined above, we'll call them "semi-notable". Those points are only considered at the end of a trend, and help us extend the trend line a bit further.
Dynamic Support & Resistance Tracker with MTFDynamic Support & Resistance Tracker with Weekly, Monthly & Daily Levels
The Dynamic Support & Resistance Tracker is designed to help traders identify key support and resistance levels across multiple timeframes, enhancing market analysis and decision-making. This indicator calculates and plots support and resistance levels for daily, weekly, and monthly periods, along with extension lines that provide insights into potential price targets.
Key Features:
Multi-Timeframe Analysis:
Daily Levels: Identifies the high, low, and midpoint for each trading day. These levels help traders recognize important price points for short-term trading strategies.
Weekly Levels: Plots the high, low, and midpoint for each week. This feature is valuable for swing traders who need to understand broader market trends.
Monthly Levels: Displays the high, low, and midpoint for each month, which is essential for long-term investors.
Extension Lines:
Calculates extension lines beyond the standard support and resistance levels to help anticipate potential price targets and reversals. These extensions are based on the distance between the high/low and midpoint levels.
Real-Time Updates:
Automatically updates the levels based on the most recent market data, ensuring traders have the most current information for their analysis.
Clear Visuals:
The indicator provides clearly labeled and color-coded lines for easy identification of key levels, improving the visual clarity of market analysis.
How It Works:
Daily, Weekly, and Monthly Levels: The indicator calculates the high, low, and midpoint levels for daily, weekly, and monthly timeframes and plots them on the chart. These levels serve as potential areas of support and resistance where price action may react.
Extension Lines: The extension lines are calculated based on the distance between the high/low and midpoint levels, projecting potential areas where price may find support or resistance beyond the standard levels.
Automatic Updates: The indicator continuously updates the plotted levels based on the latest market data, providing real-time insights.
Benefits:
Improved Market Analysis: By providing a clear view of support and resistance levels across multiple timeframes, this indicator helps traders understand market trends and price movements more effectively.
Informed Trading Decisions: The detailed plotting of levels and extensions allows traders to make more informed decisions, enhancing their trading strategies.
Versatility: Suitable for various trading styles, including intraday trading, swing trading, and long-term investing.
Instructions for Use:
Analyze the Levels: Observe the plotted high, low, and mid-levels for daily, weekly, and monthly timeframes.
Plan Your Trades: Use the identified support and resistance levels to set your entry and exit points, stop-losses, and profit targets.
Monitor the Market: Stay updated with real-time adjustments of the levels, ensuring you always have the latest market information.
Note: This indicator is designed to enhance your trading analysis by providing clear and reliable support and resistance levels. However, it should be used as part of a comprehensive trading strategy and not as the sole basis for trading decisions.
Fisher ForLoop [InvestorUnknown]Overview
The Fisher ForLoop indicator is designed to apply the Fisher Transform over a range of lengths and signal modes. It calculates an array of Fisher values, averages them, and then applies an EMA to these values to derive a trend signal. This indicator can be customized with various settings to suit different trading strategies.
User Inputs
Start Length (a): The initial length for the Fisher Transform calculation (inclusive).
End Length (b): The final length for the Fisher Transform calculation (inclusive).
EMA Length (c): The length of the EMA applied to the average Fisher values.
Calculation Source (s): The price source used for calculations (e.g., ohlc4).
Signal Calculation
Signal Mode (sigmode): Determines the type of signal generated by the indicator. Options are "Fast", "Slow", "Thresholds Crossing", and "Fast Threshold".
1. Slow: is a simple crossing of the midline (0).
2. Fast: positive signal depends if the current Fisher EMA is above Fisher EMA or above 0.99, otherwise the signal is negative.
3. Thresholds Crossing: simple ta.crossover and ta.crossunder of the user defined threshold for Long and Short.
4. Fast Threshold: signal changes if the value of Fisher EMA changes by more than user defined threshold against the current signal
// Determine the color based on the EMA value
// If EMA is greater than 0, use the bullish color, otherwise use the bearish color
col1 = EMA > 0 ? colup : coldn
// Determine the color based on the EMA trend
// If the current EMA is greater than the previous EMA or greater than 0.99, use the bullish color, otherwise use the bearish color
col2 = EMA > EMA or EMA > 0.99 ? colup : coldn
// Initialize a variable for the color based on threshold crossings
var color col3 = na
// If the EMA crosses over the long threshold, set the color to bullish
if ta.crossover(EMA, longth)
col3 := colup
// If the EMA crosses under the short threshold, set the color to bearish
if ta.crossunder(EMA, shortth)
col3 := coldn
// Initialize a variable for the color based on fast threshold changes
var color col4 = na
// If the EMA increases by more than the fast threshold, set the color to bullish
if (EMA > EMA + fastth)
col4 := colup
// If the EMA decreases by more than the fast threshold, set the color to bearish
if (EMA < EMA - fastth)
col4 := coldn
// Initialize the final color variable
color col = na
// Set the color based on the selected signal mode
if sigmode == "Slow"
col := col1 // Use slow mode color
if sigmode == "Fast"
col := col2 // Use fast mode color
if sigmode == "Thresholds Crossing"
col := col3 // Use thresholds crossing color
if sigmode == "Fast Threshold"
col := col4 // Use fast threshold color
else
na // If no valid signal mode is selected, set color to na
Visualization Settings
Bull Color (colup): The color used to indicate bullish signals.
Bear Color (coldn): The color used to indicate bearish signals.
Color Bars (barcol): Option to color the bars based on the signal.
Custom Function: FisherForLoop
This function calculates an array of Fisher values over a specified range of lengths (from a to b). It then computes the average of these values and applies an EMA to derive the final trend signal.
// Function to calculate an array of Fisher values over a range of lengths
FisherForLoop(a, b, c, s) =>
// Initialize an array to store Fisher values for each length
var FisherArray = array.new_float(b - a + 1, 0.0)
// Loop through each length from 'a' to 'b'
for x = 0 to (b - a)
// Calculate the current length
len = a + x
// Calculate the highest and lowest values over the current length
high_ = ta.highest(s, len)
low_ = ta.lowest(s, len)
// Initialize the value variable
value = 0.0
// Update the value using the Fisher Transform formula
// The formula normalizes the price to a range between -0.5 and 0.5, then smooths it
value := .66 * ((s - low_) / (high_ - low_) - .5) + .67 * nz(value )
// Clamp the value to be within -0.999 to 0.999 to avoid math errors
val = value > .99 ? .999 : value < -.99 ? -.999 : value
// Initialize the fish1 variable
fish1 = 0.0
// Apply the Fisher Transform to the normalized value
// This converts the value to a Fisher value, which emphasizes extreme changes in price
fish1 := .5 * math.log((1 + val) / (1 - val)) + .5 * nz(fish1 )
// Store the previous Fisher value for comparison
fish2 = fish1
// Determine the trend based on the Fisher values
// If the current Fisher value is greater than the previous, the trend is up (1)
// Otherwise, the trend is down (-1)
trend = fish1 > fish2 ? 1 : -1
// Store the trend in the FisherArray at the current index
array.set(FisherArray, x, trend)
// Calculate the average of the FisherArray
Avg = array.avg(FisherArray)
// Apply an EMA to the average Fisher values to smooth the result
EMA = ta.ema(Avg, c)
// Return the FisherArray, the average, and the EMA
// Call the FisherForLoop function with the user-defined inputs
= FisherForLoop(a, b, c, s)
Important Considerations
Speed: This indicator is very fast and can provide rapid signals for potential entries. However, this speed also means it may generate false signals if used in isolation.
Complementary Use: It is recommended to use this indicator in conjunction with other indicators and analysis methods to confirm signals and enhance the reliability of your trading strategy.
Strength: The main strength of the Fisher ForLoop indicator is its ability to identify very fast entries and prevent entries against the current (short-term) market trend.
This indicator is useful for identifying trends and potential reversal points in the market, providing flexibility through its customizable settings. However, due to its sensitivity and speed, it should be used as part of a broader trading strategy rather than as a standalone tool.
