Range Tightening Indicator (RTI)The Range Tightening Indicator (RTI) quantifies price volatility relative to recent price action, helping traders identify low-volatility consolidations that often precede breakouts.
Range Tightening is calculated by measuring the range between each bar’s high and low prices over a chosen lookback period.
A 5-bar period is recommended for shorter-term momentum setups and a 15-bar period is recommended for swing trading. An option for a custom period is available to suit specific strategies. The default look back for custom is 50, ideal for longer term traders.
Other Key Features:
Dynamic Color Coding: The RTI line turns green when volatility doubles after a drop to or below 20, flagging significant volatility shifts commonly seen before breakouts.
Low-Volatility Dots: Orange dots appear on the RTI line when two or more consecutive bars show RTI values below 20, visually marking extended low-volatility periods.
Volatility Zones: Shaded zones provide quick context:
Zone 1 (0-5): Extremely tight volatility, shown in red.
Zone 2 (5-10): Low volatility, shown in light green.
Zone 3 (10-15): Moderate low volatility, shown in green.
The RTI indicator is ideal for traders looking to anticipate breakout conditions, with features that highlight consolidation phases, support momentum strategies, and help improve entry timing by focusing on shifts in volatility.
This indicator was inspired after Deepvue's RMV Indicator, but uses a different calculation. Results may vary.
Range
Gauss IndicatorGauss Indicator
Class : oscillator
Trading type : any
Time frame : any
Purpose : reversal trading
Level of aggressiveness : any
About Gauss Indicator
Time series forecasting is quite a scientific task, for which specific econometrical models and methods have been developed.
Who is Gauss and Why his Curve is So Important
Johann Gauss was one of the best mathematicians of all times and he gave us a very specific curve (Gaussian Curve) to explain specifics of random variable behavior (so called Normal Distribution)
Gaussian curve has quite interesting property usually called “3 Sigmas Rule”: in a normal distribution: 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.
But Does It Work in the Financial Markets?
Normal Distribution is extremely typical for price behavior in financial markets: FOREX, stock Market, Commodities, Cryptocurrency market.
How can we forecast future prices based on “3 Sigmas Rule”?
If we know past prices (we actually know), we can calculate Mean and Standard Deviation.
After that following “3 Sigmas Rules” we can calculate the fluctuations range for the present day with a known probability (!).
• If we add 1 sigma to mean we can get the price value that wouldn’t be exceeded with a probability of 68%.
• If we add 2 sigmas to mean we can get the price value that wouldn’t be exceeded with a probability of 95%.
• If we add 3 sigmas to mean we can get the price value that wouldn’t be exceeded with a probability of 99%.
How Can I Get This Information?
Gauss indicator is a practical implementation of “3 sigmas rule” in trading.
Gauss allows to predict the ranges of price fluctuations for the selected time frames (week, day, hour, etc) with certain probabilities: 68%, 95% and 99%.
Gauss can be used to generate Trading signals, Stop-loss parameters, Take-profit parameters, Synthetic Levels (both Support and Resistance).
Actually, ALL information you need to trade.
Structure of the Gauss Indicator
1. Three blue lines – synthetic support lines. They describe 3 different buy zones with certain probabilities of success:
- First blue line (Buy zone #1) - the price today will not fall below this mark with a probability of 68%;
- Second blue line (Buy zone #2) - the price today will not fall below this mark with a probability of 95%;
- Third blue line (Buy zone #3) - the price today will not fall below this mark with a probability of 99%.
2. Three red lines – synthetic resistance lines. They describe 3 different sell zones with certain probabilities of success:
- First red line (Sell zone #1) - the price today will not rise above this mark with a probability of 68%;
- Second red line (Sell zone #2) - the price today will not rise above this mark with a probability of 95%;
- Third red line (Sell zone #3) - the price today will not rise above this mark with a probability of 99%.
3. Green line – shows current price. When it gets close to the red/blue line sell/buy signals are generated.
Trading rules
General rules are as follows: buy at the blue lines, sell at the red lines.
Take-profits for sells are set at the nearest blue line, for buys – at the nearest red line. Stop-losses for sells are set above the last red line, for buys – below the last blue line.
CRT Trades (turtle soup, A-M-D ranges with inside bars)CRT means Candle Range Theory. Every single candle is a range, on every single timeframe. Ranges may be either manipulated - turtle souped or broken - engulfed - closed above/below and retested.
CRT is usually presented as a 3 candle model. However it may consist of more than 3 candles due to inside bars. Inside bar is the candle where high is not higher then previous candle high and low is not lower then previous candle low.
First candle represents accumulation (may consist of more candles - inside bars), second candle represents manipulation (turtle soup) and third candle represents distribution. The abbreviation for that is A-M-D.
In accumulation the range with specific high and low is created. In manipulation (turtle soup) the high or low of the range is manipulated - liquidity taken and price should usually reverse back to the range. In distribution price is reversing back to the opposite side of the range. On higher timeframe it looks like manipulation candle wick is higher/lower than previous range high/low (may consist of 1 or more inside bar candles) but the body must not close above/below previous range high/low. Otherwise it is not manipulation (turtle soup) most likely and price should continue in direction of the candle close. Distribution candle should touch opposite side of range and it is mostly heavy and fast candle.
CRT model can be found on higher timeframe (e.g. 4h) and entries can be found on lower timeframe (e.g. 15m). You always use only lower timeframe on your chart because CRT model on the higher timeframe is shown on the lower one and also you can plan entries on the lower timeframe. You are able to change CRT model higher timeframe in the indicator settings.
There are two types of entries:
simple - wait for manipulation candle to close on higher timeframe (HTF) and then enter on lower timeframe (LTF) above open of the distribution candle on HTF if it is short or on LTF below open of the distribution candle on HTF if it is long. These entries can be done by market order.
advanced - wait for the break of previous range high/low and enter by limit order when price reverses back to the range and retraces to the order block or fair value gap created by the breaker candle.
Stop loss can be placed above/below of the top/bottom created by manipulation candle. First take profit should be placed in 1/2 of the accumulation range and second take profit should be placed at the opposite range of accumulation range.
It is possible to filter only particular accumulation (range) and manipulation (turtle soup) candles depending also on timezone set in the settings. For example on 4h CRT model if you fill input "indices" for section "range" like 1,2 and input "indices" for section "turtle soup" like 3,4 then you are awaiting the range to form during asia session and manipulation during london session if the timezone is somewhere around "UTC+2".
Dotted lines represent turtle soup of previous range and solid lines represent engulfing candle of the breaker candle on lower timeframe. When the engulfing is closed you can look for entries either by market order after closing or by limit order when the price retraces to order block (created by breaker candle) or fair value gap (created by engulfing).
Recommendations for combining lower (entries) and higher (crt model) timeframes:
1D CRT model => 1h entries,
4h CRT model => 15m entries,
1h CRT model => 5m entries,
15m CRT model => 1m entries.
Opening Range with Breakouts & Targets [LuxAlgo]Opening Range with Breakouts & Targets is based on the long-standing Opening Range Breakout strategy popularized by traders such as Toby Crabel and Mark Fisher.
This indicator measures and displays the price range created from the first period within a new trading session, along with price breakouts from that range and targets associated with the range width.
🔶 USAGE
The Opening Range (OR) can be a powerful tool for making a clear distinction between ranging and trending trading days. Using a rigid structure for drawing a range, provides a consistent basis to make judgments and comparisons that will better assist the user in determining a hypothesis for the day's price action.
NOTE: During a suspected "Range Day", the Opening Range can be used for reversion strategies, typically targeting the opposite extreme of the range or the mean of the range. However, more commonly the Opening Range is used for breakouts on suspected "Trend Days", targeting further upward or downward market movement.
The common Opening Range Breakout Strategy (ORB) outlines a structure to enter and exit positions based on rigid points determined by the Opening Range. This methodology can be adjusted based on markets or trading styles.
Determine Opening Range High & Low: These are the high and low price within a chosen period of time after the market opens. This can be customized to the user's trading style and preference. Common Ranges are from 5-60 mins.
Watch for a Breakout with Volume: A Breakout occurs when price crosses the OR High (ORH) or OR Low (ORL), an increase in volume is typically desired when witnessing these breakouts to confirm a stronger movement.
Manage Risk: Based on user preference and the appropriately determined amount of risk, multiple ways can be determined to manage risk by using Opening Range.
For Example: A stop-loss could be set at OR Mean (ORM) or the opposite side of the range, while a profit target could optionally be set at the first price target generated by the script.
Alternatively, a user might want to use a Moving Average (MA) as an adaptive stop-loss and use price targets to scale out. These are just 2 examples of the possible options, both capable with this tool.
🔹 Signals
Signals will fire based on the break of the opening range, this is indicated by arrows above and below the range boundaries.
Optionally, a bias can be added to these signals to aid in mitigating false signals by using a directional filter based on the current day's OR relative to the previous day's OR.
Regardless of the signal bias being enabled, the Opening Range Zone will always be colored directionally according to this.
If the current day's OR is above the previous day's OR, the Zone will be Green.
If the current day's OR is below the previous day's OR, the Zone will be Red.
By enabling the signal bias, signals in the opposite direction of the daily bias will fire on the cross of the first target in that direction.
🔹 Targets
In this indicator, targets are not limited and will generate infinitely based on a % width of the Opening Range.
Additionally, there are 2 display methods for these targets.
Extended: Extends the targets to the current bar and displays all targets that have been crossed so far within the session.
Adaptive: Extends only the 2 closest targets surrounding price, allowing for a display consisting of fewer lines at one time.
🔶 DETAILS
🔹 Historical Display
This indicator can be utilized in multiple ways, for use in real-time, and for historical analysis to form methods. Because of this, the indicator has an option to display only the current day's data or the entire historical data. This can also help clean up the chart when it is in use.
🔹 Time Period
The specific time period to create the opening range is entirely up to each user's preference, by default it is set to 30 mins; however, this time period can be edited with full control if desired.
Simply toggle on the "Custom Range" and input a range of time to create the range.
🔹 Session Moving Average
The Session Moving Average is a common Moving Average, which resets at the beginning of a new session. This allows for an unbiased MA that was created entirely from the current session's price action.
Note: The start of the session is determined by the start of the Opening Range if using a custom range of time.
🔶 SETTINGS
Show Historical Data: Choose to display only the current session's data or the full history of data.
Opening Range Time Period: Select the time period to form the opening range from. This operates on Session Start, so it will change with the chart.
Custom Range: Opt for a custom Range by enabling this and inputting your range times as well as your needed timezone.
Breakout Signal Bias: Select if the Breakout Signals will use a Daily Directional Bias for firing.
Target % of Range: Sets the % of the Range width that will be used as an increment for the Targets to display in.
Target Cross Source: Choose to use the Close price or High/Low price as the crossing level for Target displays. When this source crosses a target it will generate more targets.
Target Display: Choose which style of display to use for targets.
Session Moving Average: Optionally enable a Moving average of your choice that resets at the beginning of each session (start of opening range).
Ranges and Breakouts [AlgoAlpha]💥 Ranges and Breakouts by AlgoAlpha is a dynamic indicator designed for traders seeking to identify market ranges and capitalize on breakout opportunities. This tool automatically detects ranges based on price action over a specified period, visualizing these ranges with shaded boxes and midlines, making it easy to spot potential breakout scenarios. The indicator includes advanced features such as customizable pivot detection, internal range allowance, and automatic trend color changes for quick market analysis.
Key Features
💹 Dynamic Range Detection : Automatically identifies market ranges using customizable look-back and confirmation periods.
🎯 Breakout Alerts : Get alerted to bullish and bearish breakouts for potential trading opportunities.
📊 Visual Aids : Displays pivot highs/lows within ranges and plots midlines with adjustable styles for easier market trend interpretation.
🔔 Alerts : Signals potential take-profit points based on volatility and moving average crossovers.
🎨 Customizable Appearance : Choose between solid, dashed, or dotted lines for midlines and adjust the colors for bullish and bearish zones.
How to Use
⭐ Add the Indicator : Add the indicator to favorites by pressing the star icon. Adjust the settings like the look-back period, confirmation length, and pivot detection to match your trading strategy.
👀 Monitor the Chart : Watch for new ranges to form, highlighted by shaded boxes on the chart. Midlines and range bounds will appear to help you gauge potential breakout points.
⚡ React to Breakouts : Pay attention to color changes and alert signals for bullish or bearish breakouts. Use these signals to enter or exit trades.
🔔 Set Alerts : Customize alert conditions for new range formations, breakout signals, and take-profit levels to stay on top of market movements without constant monitoring.
How It Works
The indicator detects price ranges by analyzing the highest and lowest prices over a specified period. It confirms a range if these levels remain unchanged for a set number of bars, at which point it visually marks the range with shaded boxes. Pivots are identified within these ranges, and a midline is plotted to help interpret potential breakouts. When price breaks out of these defined ranges, the indicator changes the chart's background color to signal a bullish or bearish trend. Alerts can be set for range formation, breakouts, and take-profit opportunities, helping traders stay proactive in volatile markets.
Hourly Ranges [QuantVue]The "Hourly Ranges" indicator is designed to track and visualize the price ranges for each hour of the trading day. It calculates the difference between the high and low prices, as well as the differences between the high and open, and the open and low prices for each hourly candle. This data is stored and used to draw range lines on the chart.
This indicator is particularly useful for traders who want to monitor how price behaves during specific hours, identify potential support and resistance levels, and make trading decisions based on historical hourly price data.
Traders can use the hourly ranges to gauge market volatility and set expectations for price movement within each hour. The drawn levels on the chart represent the average high (resistance) and low (support) price ranges for each hour. These levels can serve as potential entry or exit points for trades, offering clear markers for setting stop-loss or take-profit orders.
By observing how price interacts with these hourly levels, traders can confirm trends or spot reversals. For example, if the price repeatedly touches and bounces off a specific hourly support level, it could indicate strong buying interest at that level.
The average range calculation gives traders a sense of the typical price movement during specific hours. This helps in assessing whether the market is more volatile during certain periods, which can be crucial for adjusting trading strategies and position sizing.
This indicator is particularly useful for traders who want to monitor how price behaves during specific hours, identify potential support and resistance levels, and make trading decisions based on historical hourly price data.
iteratorThe "Iterator" library is designed to provide a flexible way to work with sequences of values. This library offers a set of functions to create and manage iterators for various data types, including integers, floats, and more. Whether you need to generate an array of values with specific increments or iterate over elements in reverse order, this library has you covered.
Key Features:
Array Creation: Easily generate arrays of integers or floats with customizable steps, both inclusive and exclusive of the end values.
Flexible Iteration: Includes methods to iterate over arrays of different types, such as booleans, integers, floats, strings, colors, and drawing objects like lines and labels.
Reverse Iteration: Support for reverse iteration, giving you control over the order in which elements are processed.
Automatic Loop Control: One of the key advantages of this library is that when using the .iterate() method, it only loops over the array when there are values present. This means you don’t have to manually check if the array is populated before iterating, simplifying your code and reducing potential errors.
Versatile Use Cases: Ideal for scenarios where you need to loop over an array without worrying about empty arrays or checking conditions manually.
This library is particularly useful in cases where you need to perform operations on each element in an array, ensuring that your loops are efficient and free from unnecessary checks.
Library "iterator"
The "iterator" library provides a versatile and efficient set of functions for creating and managing iterators.
It allows you to generate arrays of integers or floats with customizable steps, both inclusive and exclusive of the end values.
The library also includes methods for iterating over various types, including booleans, integers, floats, strings, colors,
and drawing objects like lines and labels. With support for reverse iteration and flexible customization options.
iterator(stop, start, step)
Creates an array of integers from start to stop with a specified step, excluding the stop value.
Parameters:
stop (int) : The end value of the iterator, exclusive.
start (int) : The starting value of the iterator. Default is 0.
step (int) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of integers incremented by the step value from start to stop. Will return and empty array if start = stop.
iterator(stop, start, step)
Creates an array of floats from start to stop with a specified step, excluding the stop value.
Parameters:
stop (float) : The end value of the iterator, exclusive.
start (float) : The starting value of the iterator. Default is 0.
step (float) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of floats incremented by the step value from start to stop. Will return and empty array if start = stop.
iterator_inclusive(stop, start, step)
Creates an array of integers from start to stop with a specified step, including the stop value.
Parameters:
stop (int) : The end value of the iterator, inclusive.
start (int) : The starting value of the iterator. Default is 0.
step (int) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of integers incremented by the step value from start to stop, including the stop value.
iterator_inclusive(stop, start, step)
Creates an array of floats from start to stop with a specified step, including the stop value.
Parameters:
stop (float) : The end value of the iterator, inclusive.
start (float) : The starting value of the iterator. Default is 0.
step (float) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of floats incremented by the step value from start to stop, including the stop value.
itr(stop, start, step)
Creates an array of integers from start to stop with a specified step, excluding the stop value.
Parameters:
stop (int) : The end value of the iterator, exclusive.
start (int) : The starting value of the iterator. Default is 0.
step (int) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of integers incremented by the step value from start to stop.
itr(stop, start, step)
Creates an array of floats from start to stop with a specified step, excluding the stop value.
Parameters:
stop (float) : The end value of the iterator, exclusive.
start (float) : The starting value of the iterator. Default is 0.
step (float) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of floats incremented by the step value from start to stop.
itr_in(stop, start, step)
Creates an array of integers from start to stop with a specified step, including the stop value.
Parameters:
stop (int) : The end value of the iterator, inclusive.
start (int) : The starting value of the iterator. Default is 0.
step (int) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of integers incremented by the step value from start to stop, including the stop value.
itr_in(stop, start, step)
Creates an array of floats from start to stop with a specified step, including the stop value.
Parameters:
stop (float) : The end value of the iterator, inclusive.
start (float) : The starting value of the iterator. Default is 0.
step (float) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of floats incremented by the step value from start to stop, including the stop value.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
Relative Range at Time/ Relative volatility / High−Low This script is designed to help you compare the size of the current price candle (the difference between the highest and lowest prices in a given time period) to the average size of the last several candles. It does this by calculating the average range of a certain number of previous candles (you can set how many with the "Length" input) and then dividing the current candle's range by this average. The result is plotted on the chart as a bar: if the current candle's range is larger than the average, the bar is green; if it's smaller, the bar is red. A horizontal line is also drawn at the value of 1, so you can easily see whether the current candle's range is above or below the average. If there’s an issue with the data, the script will show an error message to let you know.
Consolidation Range Detector [Pt]█ Author's Note:
After extensively reviewing the existing consolidation detection tools in the TradingView library, I found that none fully met my expectations. Some tools were overly sensitive, producing too many invalid ranges, while others lacked the necessary sensitivity. Consequently, I decided to develop my own tool. I hope that you, fellow traders, find it valuable and enjoy using it.
█ Description:
The Consolidation Range Detector is a sophisticated TradingView tool designed to identify and visualize periods of price consolidation on any financial chart. This indicator employs advanced algorithms to detect ranges where price movements are confined, helping traders spot potential breakout zones and make informed trading decisions.
█ Key Features:
► Customizable Detection Sensitivity: Adjust the sensitivity of the detection algorithm to suit your trading strategy, ensuring a precise fit within the consolidation range.
► Dynamic Coloring: Choose between random or fixed colors for the consolidation ranges, with options to match different background color schemes (Dark, Light, Neutral).
► Visual Clarity: Highlight detected consolidation ranges directly on the chart with customizable color schemes to enhance visibility and provide clear visual cues.
► ATR-Based Validation: Ensures detected consolidation ranges are significant and reliable by using the Average True Range (ATR) for validation.
█ User-Defined Inputs:
► Minimum Detection Bars: Set the minimum number of bars required to detect a consolidation range.
► Max Range Multiplier: Define the maximum range for detection as a multiple of the ATR.
► Detection Sensitivity: Adjust the sensitivity of the detection algorithm. Higher values mean a tighter fit within the consolidation range.
► Color Options: Choose the color for the consolidation range boxes and decide whether to use random colors.
► Color Scheme (Background): Select a color scheme for the chart background (Dark, Light, Neutral).
█ How It Works:
► Range Detection: The indicator scans the chart for potential consolidation ranges based on user-defined parameters. It calculates the average price and ATR to determine the significance of the range.
► Validation: Each detected range is validated based on criteria such as ATR threshold, range validity, average price comparison, and the number of touches at the range boundaries.
► Visualization: Validated ranges are highlighted on the chart with colored boxes, providing a clear visual cue of potential consolidation zones.
█ Usage Examples:
► Example 1:
The image below showcases the Consolidation Range Detector in action on a chart of S&P 500 E-mini Futures. The indicator highlights several consolidation ranges with different colors, demonstrating its ability to adapt to varying market conditions and visually emphasize key areas of price consolidation. The annotations for breakouts and price reactions are manually marked to illustrate the practical application of the tool in identifying potential trading opportunities based on these key areas.
█ Practical Applications:
► Identify Breakout Zones: Use the detected consolidation ranges to identify potential breakout zones, helping to anticipate significant price movements.
► Identify Key Price Levels: The tool helps in pinpointing key price levels where there is a high probability of significant price reactions, providing crucial insights for trading strategies.
► Enhance Technical Analysis: Integrate the Consolidation Range Detector into your existing technical analysis toolkit to improve the accuracy of your trading decisions.
█ Conclusion:
The Consolidation Range Detector is a powerful tool for traders looking to identify periods of price consolidation and potential breakout zones. With its customizable settings and advanced detection algorithms, it provides a reliable and visual method to enhance your trading strategy. Whether you're a beginner or an experienced trader, this indicator can add significant value to your technical analysis.
█ Cautionary Note:
While the Consolidation Range Detector is a powerful tool, it's important to combine it with other indicators and analysis methods for comprehensive trading decisions. Always consider market context and external factors when interpreting detected consolidation ranges.
Custom ATR Trailing StopThis Script creates a custom ATR (Average True Range) trailing stop. It allows traders to set up automated stop-loss levels based on the ATR, which adjusts dynamically to market volatility. The script is designed to support both long and short trades, offering flexibility and precision in trade management.
When loading the indicator to your chart, simply click to set the trade begining time, confirm various settings and you are set.
Check tooltips for more details in the input settigns menu.
User Inputs
Trade Setup: Allows users to set the trade direction (Long or Short), the signal source for entries, and the specific bar time for the trade setup.
ATR Settings: Configurable ATR lookback period, ATR smoothing period, initial ATR multiplier for setting the stop-loss, breakeven ATR multiplier, and a manual breakeven level.
ATR Calculations
Computes the ATR and its moving average.
Determines initial and breakeven stop levels based on the ATR.
Signal Validation
Validates long or short trade signals based on the specified bar time and trade direction.
Triggers alerts when a valid trade signal is detected.
Trailing Stop Logic
For long trades, adjusts the stop-loss level dynamically based on the ATR.
For short trades, performs similar adjustments in the opposite direction.
Updates the trailing stop level to ensure it follows the price, moving closer as the price moves favorably.
Resets the trade state when the stop-loss is hit, triggering an alert.
Plotting
Plots the trailing stop levels on the chart.
Uses green for stop levels indicating profit and red for stop levels indicating a loss.
Daily Range + Asia Liquidity + FVG + silver Bullet sessionIndicator Description :
This indicator combines several trading concepts to provide an overall view of intraday selling opportunities. It includes the following elements:
Daily Range:
Measures the daily price range between the highest and lowest points of the day.
Helps understand daily volatility and identify potential support and resistance levels.
Asia Liquidity:
Analyzes price movements and volumes during the Asian session (usually from 00:00 to 08:00 GMT).
Identifies liquidity levels where the price has reacted during this period, providing clues on where significant orders are concentrated.
FVG (Fair Value Gap):
A trading concept that identifies areas where the price has moved quickly, creating a "gap" or empty space on the chart.
These areas are often revisited by the price, which can provide potential entry or exit points.
Silver Bullet Session:
Refers to a specific period of the day where a particular strategy or setup is expected to occur. For example, this could be a period where price movements are historically more predictable or volatile.
This session particularly targets price movements that attract sellers.
Using the Indicator
Identifying Selling Levels:
Combine the daily range levels with the liquidity zones identified during the Asian session to spot levels where sellers might be interested.
Use the fair value gaps (FVG) to identify areas where the price might return, providing entry or exit points for selling positions.
Silver Bullet Session:
Focus on this period to observe price movements and reactions to the levels identified earlier.
Look for selling signals (e.g., bearish reversal candlesticks or continuation patterns) during this session to maximize selling opportunities.
Objective :
The objective of this indicator is to provide a systematic approach to identifying selling opportunities based on multiple technical and temporal elements. By combining daily volatility, liquidity levels, value gaps, and specific trading periods, this indicator helps traders pinpoint potential selling points with greater accuracy.
Candle Range Detector [UAlgo]The "Candle Range Detector " is a Pine Script™ indicator designed to identify trading opportunities based on the concept of price consolidation and breakout. It analyzes the price range of a specified number of previous candles and detects when subsequent candles stay within that range (consolidation). The indicator then highlights potential breakouts above or below the range and provides calculated Take Profit (TP) and Stop Loss (SL) levels based on your chosen method (percentage or Average True Range - ATR).
🔶 Key Features
Configurable Range: Define the minimum number of candles required to establish a valid price range.
Breakout Detection: Identify potential breakouts above or below the established range based on your selection (close price or wick).
Take Profit & Stop Loss Levels: The indicator calculates TP and SL levels based on your chosen method (percentage or ATR) and user-defined multipliers. The calculated TP and SL levels are visualized as horizontal lines with corresponding labels ("Take Profit" and "Stop Loss").
Optional Count Display: You can choose to display the number of candles currently within the range.
🔶 Disclaimer:
Not Financial Advice: This indicator is intended for educational and informational purposes only. It does not constitute financial advice or recommendations to buy, sell, or hold any financial instruments.
Use at Own Risk: Trading involves substantial risk of loss and is not suitable for all investors. Users of this indicator should exercise caution and conduct their own research and analysis before making any trading decisions.
Performance Not Guaranteed: Past performance is not indicative of future results. While the indicator aims to assist traders in analyzing market trends, there is no guarantee of accuracy or success in trading operations.
🔷 Related Scripts
Range Finder
Futures Weekly Open RangeThe weekly opening range ( high to low ) is calculated from the open of the market on Sunday (1800 EST) till the opening of the Bond Market on Monday morning (0800 EST). This is the first and most crucial range for the trading week. As ICT has taught, price is moving through an algorithm and as such is fractal; because price is fractal, the opening range can be calculated and projected to help determine if price is trending or consolidating. As well; this indicator can be used to incorporate his PO3 concept to enter above the weekly opening range for shorts if bearish, or entering below the opening range for longs if bullish.
This indicator takes the high and low of weekly opening range, plots those two levels, plots the opening price for the new week, and calculates the Standard Deviations of the range and plots them both above and below of the weekly opening range. These are all plotted through the week until the start of the new week.
The range is calculated by subtracting the high from the low during the specified time.
The mid-point is half of that range added to the low.
The Standard deviation is multiples of the range (up to 10) added to the high and subtracted
from the low.
At this time the indicator will only plot the Standard deviation lines on the minutes time frame below 1 hour.
Only the range and range lines will be plotted on the hourly chart.
ATR Gerchik LightAverage True Range ( ATR ) is a technical analysis indicator that measures volatility in the market. ATR is a moving average of the true range over a period of time.
ATR calculation procedure:
1. Determine the true maximum - this is the highest of the current maximum and yesterday's closing price of the day.
2. Determine the true minimum - this is the smallest of the current minimum and yesterday's closing price.
3. Determine the true range - this is the distance between the true maximum and minimum.
4. We exclude extremely large candles (> x2 ATR) and extremely small ones (< 0.5 ATR) from the obtained true ranges.
5. We calculate the average for the selected period based on the remaining range.
6. We calculate the percentage of the current True Range relative to the average ATR value for the previous period.
Description:
If you analyze it yourself, you will see that 75-80% of the time, the instrument moves only 1 ATR per day. You must understand that if an instrument has, for example, moved 80% of its daily range, it is not advisable to purchase it. This is comparable to a car's fuel tank: if the tank is almost empty, the car won't go far. Most indicators that calculate ATR include anomalous candles, which give unreliable results and lead to incorrect decisions. Because of this, many traders prefer to calculate ATR on their own.
However, the Gerchik ATR indicator accounts for anomalous candles and filters out extremely large candles (> 2x ATR) and extremely small ones (< 0.5x ATR). Additionally, this indicator immediately shows the consumed “fuel” of the instrument as a percentage, so you don't have to calculate the distance traveled yourself. This allows you to make quick, informed decisions. If we see that the tank is almost empty, it is logical not to get into that car today. When building any strategy, you must rely on the average movement.
Key Features:
Anomalous Candle Filtering: Excludes extremely large and small candles to provide more reliable ATR values.
Consumed Fuel Indicator: Shows the percentage of the ATR consumed, helping traders quickly assess the remaining potential movement.
Daily Timeframe Focus: Designed specifically for use on daily charts for accurate long-term analysis.
Practical Applications:
Entry and Exit Points: Use the ATR to determine optimal entry and exit points by assessing market volatility and potential price movement.
Stop-Loss Placement: Calculate stop-loss levels based on ATR to ensure they are placed at appropriate distances, accounting for current market volatility.
Trend Confirmation: Use the percentage of ATR consumed to confirm the strength of a trend and decide whether to enter or exit trades.
Examples of Use:
Trend Following: During strong trends, ATR helps identify periods of increased volatility, signaling potential breakouts or reversals.
Range Trading: In ranging markets, ATR can highlight periods of low volatility, indicating consolidation and potential breakout zones.
Note: The indicator is displayed and works only on the daily timeframe!
The indicator was created according to the instructions, description of the functionality, and strategy of Mr. Gerchik. Thank you so much, Chief!
________________________
Average True Range ( ATR , средний истинный диапазон) – это индикатор технического анализа, который измеряет волатильность на рынке. ATR представляет собой скользящее среднее истинного диапазона за определенный период времени.
Порядок расчета ATR:
1. Определяем истинный максимум – это наивысшее из текущего максимума и вчерашней цены закрытия дня.
2. Определяем истинный минимум – это наименьшее из текущего минимума и вчерашней цены закрытия.
3. Определяем истинный диапазон – это расстояние между истинным максимумом и минимумом.
4. Исключаем из полученных истинных диапазонов экстремально большие свечи (> x2 ATR) и экстремально маленькие (< 0.5 ATR).
5. Рассчитываем среднее за выбранный период исходя из оставшегося диапазона.
6 . Рассчитываем процент текущего истинного диапазона (True Range) относительно среднего значения ATR за предыдущий период.
Описание:
Если вы сами проанализируете, то увидите, что 75-80% времени инструмент ходит только 1 ATR. И вы должны понимать, что если инструмент внутри дня прошел, к примеру, 80% своего движения, то этот инструмент больше нельзя покупать. Это можно сравнить с баком машины: если бак почти пустой, машина далеко не уедет. Большинство индикаторов, которые рассчитывают ATR, производят расчет с паранормальными свечами. Это дает недостоверный результат и приводит к неверным решениям. Многие трейдеры из-за этого не используют готовые индикаторы и предпочитают считать ATR самостоятельно. Но индикатор ATR Gerchik учитывает паранормальные свечи и фильтрует экстремально большие свечи (> x2 ATR) и экстремально маленькие (< 0.5 ATR). Также этот индикатор сразу показывает израсходованный "бензин" инструмента в процентах. И вам не надо самостоятельно высчитывать пройденный путь. Вы можете быстро принимать правильные решения. Если мы видим, что бак почти пустой, логично не садиться в эту машину сегодня. Когда вы строите какую-то стратегию, вы должны обязательно полагаться на среднестатистическое движение.
Существует много стратегий, завязанных на ATR, которые учитывают волатильность инструмента, запас хода, точки разворота, места выставления стоп-лоссов (SL) и тейк-профитов (TP) и другие факторы. Я не буду останавливаться на них, так как каждый может найти описание этих стратегий и использовать их на свой выбор.
Индикатор отображается и работает только на дневном таймфрейме!
Индикатор создан по наставлениям, описанию функционала и стратегии господина Герчика. Огромное спасибо, Шеф!
ICT KillZones Hunt [TradingFinder] 4 Sessions + OB + FVG + Alert🔵 Introduction
🟣 ICT
The "ICT" style is a subset of "Price Action" technical analysis. The primary goal of the ICT trading strategy is to merge "Price Action" with the "Smart Money" concept to pinpoint optimal trade entry points.
However, this approach's strength extends beyond merely finding entry points. It also helps traders gain a deeper understanding of price behavior and adapt their trading strategies to the market structure.
The most important concepts of "ICT" :
Order Block
Fair Value Gap(FVG)
Liquidity
🟣 Session
Financial markets are divided into several time periods, each featuring distinct characteristics and levels of activity. These periods, known as sessions, are active at different times during the day.
The primary active sessions in financial markets include :
Asian Session
European Session
New York Session
Based on the UTC time zone, the schedule for these key sessions is :
Asian Session: 23:00 to 06:00
European Session: 07:00 to 16:30
New York Session: 13:00 to 22:00
Note
To avoid session overlap and minimize interference during kill zones, the session times have been modified as follows :
Asian Session: 23:00 to 06:00
European Session: 07:00 to 14:25
New York Session: 14:30 to 22:55
🟣 KillZone
Kill zones are periods within a session where trader activity spikes. During these times, trading volume surges, and price movements become more pronounced.
The major kill zones, according to the UTC time zone, are as follows :
Asian Kill Zone: 23:00 to 03:55
European Kill Zone: 07:00 to 09:55
New York Morning Kill Zone: 14:30 to 16:55
New York Evening Kill Zone: 19:30 to 20:55
🔵 How to Use
🟣 Order Block
Order blocks are a distinct category of "Supply and Demand" zones, formed when a series of orders are grouped together. These blocks are often created by banks or other significant market participants.
Banks typically execute large orders in blocks during their trading sessions. If they were to enter the market with small quantities, substantial price movements would occur before the orders were fully executed, reducing potential profit.
To mitigate this, they divide their orders into smaller, more manageable positions. Traders should seek "buy" opportunities in "demand order blocks" and "sell" opportunities in "supply order blocks."
🟣 Fair Value Gap (FVG)
To pinpoint the "Fair Value Gap" on the chart, meticulous candle-by-candle analysis is essential. Pay close attention to candles with significant bodies, examining each candle alongside the one preceding it.
The candles flanking this central candle should exhibit elongated shadows, with bodies that do not intersect the body of the central candle. The span between the shadows of the first and third candles is referred to as the FVG range.
Note :
The origin of all Order Blocks and FVGs starts from inside a kill zone and extends up to the end of the same session.
🟣 Kill Zone Hunt
Following this strategy, after the conclusion of the kill zone and the stabilization of its high and low lines, if the price touches either of these lines within the same session and encounters a robust rejection, it presents an opportunity to enter a trade.
🔵 Setting
🟣 Global Setting
Show All Order Block :
If it is turned off, only the last Order Block will be displayed.
Show All FVG :
If it is turned off, only the last FVG will be displayed.
Show More Info Session :
If it is turned on, more information about kill zones (Trade Volume, Time, Number of Candles) will be displayed.
🟣 Logic Parameter
Pivot Period of Order Blocks Detector :
Enter the desired pivot period to identify the Order Block.
Order Block Validity Period (Bar) :
You can specify the maximum time the Order Block remains valid based on the number of candles from the origin.
Mitigation Level Order Block :
Determining the basic level of a block order. When the price hits the basic level, the order block due to mitigation.
🟣 Order Blocks Display
Demand Order Block :
Show or not show and specify color.
Supply order Block :
Show or not show and specify color.
🟣 Order Block Refinement
Refine Demand OB :
Enable or disable the refinement feature. Mode selection.
Refine Supply OB :
Enable or disable the refinement feature. Mode selection.
🟣 FVG
FVG Validity Period (Bar) :
You can specify the maximum time the FVG remains valid based on the number of candles from the origin.
Mitigation Level FVG :
Determining the basic level of a FVG. When the price hits the basic level, the FVG due to mitigation.
Show Demand FVG :
Show or not show and specify color.
Show Supply FVG :
Show or not show and specify color.
FVG Filter :
Enable or disable filtering of FVGs. Select filter mode.
🟣 Session
Show More Info Session Color
Asia Session, London Sesseion, New York am Session & New York pm Session :
Show or not show session and kill zones. Change the display color.
🟣 Alert
Send Alert When Touched Session high & Low :
On / Off
Alert Demand OB Mitigation :
On / Off
Alert Supply OB Mitigation :
On / Off
Alert Demand FVG Mitigation :
On / Off
Alert Supply FVG Mitigation :
On / Off
Message Frequency :
This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone :
The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
Display More Info :
Displays information about the price range of the order blocks (Zone Price) and the date, hour, and minute under "Display More Info". If you do not want this information to appear in the received message along with the alert, you should set it to "Off".
B A N K $ - Advanced Session RangesThis is a simple indicator that has been designed to aid intraday trading and has a few components;
Key Features
Session Ranges + Optimal Exit Time
Asia Pip Range
New York Midnight Open Line
Session Ranges + Optimal Exit Time
Information ℹ️
This is a visual depiction of the 3 main sessions in the markets. Asia, London & New York. The default timings are set to perfectly align with each session however the Start & End times for each session can be changed in the settings. (I've added a website on the tooltip to easily convert timezones)
I have also added a 4th session range called "Optimal Exit Time". This is statistically the most probable time window for the opposite High / Low of Day to form is within this window. It helps the trader understand when they should look to take profit.
How It Works 🔑
The indicator automatically maps on two lines for the High & Low of the range between the selected Start & End time, it also colours the background.
The individual lines & background can be toggled & customised to the traders preference.
Asia Pip Range
Information ℹ️
This displays the Asia Range in pips beneath the Asia Session Low.
How It Works 🔑
This calculates the distance between the Asia High - Asia Low in pips. It will automatically recalibrate to the timings the trader sets in the settings if they change the Start / End.
New York Midnight Open Line
Information ℹ️
This helps look for Buys beneath the line for a Bullish Expansion day 📈 & Sells above the line for a Bearish Expansion day 📉
How It Works 🔑
This adds a horizontal line to the chart that is anchored to New York Midnight Open (00:00) by default. It can be changed in the settings in required. You can also toggle on the time being shown above the line.
KillZones Hunt + Sessions [TradingFinder] Alert & Volume Ranges🟣 Introduction
🔵 Session
Financial markets are divided into various time segments, each with its own characteristics and activity levels. These segments are called sessions, and they are active at different times of the day.
The most important active sessions in financial markets are :
1. Asian Session
2. European Session
3. New York Session
The timing of these major sessions based on the UTC time zone is as follows :
1. Asian Session: 23:00 to 06:00
2. European Session: 07:00 to 16:30
3. New York Session: 13:00 to 22:00
Note
To avoid overlap between sessions and interference in kill zones, we have adjusted the session timings as follows :
• Asian Session: 23:00 to 06:00
• European Session: 07:00 to 14:25
• New York Session: 14:30 to 22:55
🔵 Kill Zones
Kill zones are parts of a session where trader activity is higher than usual. During these periods, trading volume increases and price fluctuations are more intense.
The timing of the major kill zones based on the UTC time zone is as follows :
• Asian Kill Zone: 23:00 to 03:55
• European Kill Zone: 07:00 to 09:55
• New York Morning Kill Zone: 14:30 to 16:55
• New York Evening Kill Zone: 19:30 to 20:55
This indicator focuses on tracking the kill zone and its range. For example, once a kill zone ends, the high and low formed during it remain unchanged.
If the price reaches the high or low of the kill zone while the session is still active, the corresponding line is not drawn any further. Based on this information, various strategies can be developed, and the most important ones are discussed below.
🟣 How to Use
There are three main ways to trade based on the kill zone :
• Kill Zone Hunt
• Breakout and Pullback to Kill Zone
• Trading in the Trend of the Kill Zone
🔵 Kill Zone Hunt
According to this strategy, once the kill zone ends and its high and low lines no longer change, if the price reaches one of these lines within the same session and is strongly rejected, a trade can be entered.
🔵 Breakout and Pullback to Kill Zone
According to this strategy, once the kill zone ends and its high and low lines no longer change, if the price breaks one of these lines strongly within the same session, a trade can be entered on the pullback to that level.
Trading in the Trend of the Kill Zone
We know that kill zones are areas where high-volume trading occurs and powerful trends form. Therefore, trades can be made in the direction of the trend. For example, when an upward trend dominates this area, you can enter a buy trade when the price reaches a demand order block.
🟣 Features
🔵 Alerts
You can set alerts to be notified when the price hits the high or low lines of the kill zone.
🔵 More Information
By enabling this feature, you can view information such as the time and trading volume within the kill zone. This allows you to compare the trading volume with the same period on the previous day or other kill zones.
🟣 Settings
Through the settings, you have access to the following options :
• Show or hide additional information
• Enable or disable alerts
• Show or hide sessions
• Show or hide kill zones
• Set preferred colors for displaying sessions
• Customize the time range of sessions
• Customize the time range of kill zones
Trend Bars Pro (HTF PO3)Hello Traders!
The innovative TRN Trend Bars Pro are designed to help traders to analyze markets in an intuitive way and provide high probability entry and exit signals. It combines three core concepts:
TRN Trend Bars to see the current trend and reversals (replaces the default chart bars)
Bar Ranges to highlight consolidations
Dynamic Trend to see the overall trend.
First, let's have a look at each of these concepts individually. Afterwards, we describe how a combination of all three gives you a crystal-clear picture of the market.
TRN Trend Bars Pro
They show bullish and bearish trends and reversals based on color coding the bars and give high probability trade opportunities with special colors. The trend analysis is based on a new algorithm that includes several different inputs:
classical and advanced bar patterns and their statistical frequency
probability distributions of price expansions after certain bar patterns
bar information such as wick length in %, overlapping of the previous bar in % and many more
historical trend and consolidation analysis
The algorithm weighs these concepts and outputs a color scheme for the chart bars or candlesticks.
Bar Types
Trend bars in green and red
Reversal Bars in blue and fuchsia
Continuation Bars in turquoise and orange
Breakout Bars in dark green and pink
Green Bars signify a sustained uptrend, indicating bullish market sentiment. On the other hand, Red Bars indicate a persistent downtrend, representing bearish market sentiment. The transition from red to green denotes a bullish trend reversal, suggesting a shift from bearish to bullish sentiment. Conversely, the shift from green to red signals a bearish trend reversal, indicating a transition from bullish to bearish sentiment. By monitoring these color changes, traders can identify potential trend reversals and make informed trading decisions.
The presence of gray and black bars indicates a neutral market state, often observed before an impending color change from red to green or green to red. These neutral bars serve as a transition phase between the previous trend and the potential reversal.
The TRN Trend Bars Pro incorporate signal bars, distinguished by their distinct colors, to offer potential buy and sell signals and deeper insights into market dynamics.
Reversal Bars
The presence of blue Reversal Bars indicates a trend reversal to the upside, while pink Reversal Bars indicate a reversal to the downside. These bars not only serve as signals for potential trend shifts but also present favorable opportunities to enter the market or increase one's position size.
Continuation Bars
In addition to the reversal bars, the indicator also includes bullish continuation bars (colored turquoise) and bearish continuation bars (colored orange). These bars act as signals for the continuation of an existing trend. Like the reversal bars, they can be utilized as entry points or opportunities to augment one's position size.
Breakout Bars
The dark green breakout bars within TRN Trend Bars Pro show a powerful breakout from a price range detected by our integrated bar range feature. They signify the continuation or potential change in a trend following a consolidation phase. As such, these bars hold dual functionality, serving as reversal signals and validating the persistence of an ongoing trend.
Bar Ranges
The bar range feature automatically finds consolidations where the price range of several consecutives bars is rather small. The detection of the bar ranges includes among other things the overlapping percentage of these bars.
How to Use Price Ranges
Here are a few ways you can use the bar ranges in your trading:
Identify Support and Resistance Levels
The price ranges can help you identify key support and resistance levels on a chart. By observing price ranges and identifying these levels, you can make more informed decisions about entering or exiting trades.
Breakout Trading
Price ranges can also provide insights into potential breakout opportunities. Breakouts occur when the price breaks out of a defined range, signaling a potential shift in market sentiment and the start of a new trend. The Color highlighted Breakout Bars from the TRN Trend Bars Pro are signaling a powerful breakout of a price range. Traders can enter positions in the direction of the breakout and set appropriate stop-loss orders to manage risk. Note that not every price range is left by a powerful breakout.
Dynamic Trend
The Dynamic Trend combines elements from standard trend strength indicators (e.g. DI-, DI+, Parabolic SAR) and volatility indicators (e.g. ATR, Standard Deviation). It produces a moving average line that adapts to changing market volatility. It is inspired by the ideas of the programmer and trader Fat Tails. The adaptive behavior provides more relevant information for traders when compared to traditional moving averages which do not consider volatility and trend strength together. This makes the Dynamic Trend completely unique, and no other moving average indicator can give you this precision.
How to use Dynamic Trend
Generally, a rising Dynamic Trend line, displayed in green, indicates that an uptrend is strong, while a falling Dynamic Trend, displayed in red, suggests that the downtrend is sharp. The Dynamic Trend turns gray when there is insufficient clarity to establish a distinct trend and especially when there is not volatility in the market.
Identify potential trade entries and exits: When used in conjunction with price action, the Dynamic Trend can provide potential trade signals. For example, if the price crosses above the Dynamic Trend, it may be a bullish sign, suggesting a potential buy entry. Conversely, if the price crosses below the Dynamic Trend, it may indicate bearish conditions and a potential sell signal.
Trend Identification and Pullback trading
Observe the Dynamic Trend's color. When it's on the rise and appears green, it indicates a bullish trend. Conversely, if it's in decline and displayed in red, it signals a bearish trend.
If Dynamic Trend is green and price pulls from above back to the Dynamic Trend, then this can be considered as a bullish signal.
If Dynamic Trend is red and price pulls from below back to the Dynamic Trend, then this can be considered as a bearish signal.
In the event of a bearish signal, such as a bearish TRN Signal Bar, and the Dynamic Trend is red, it provides additional confirmation to the bearish signal. Likewise, bullish signals gain added conviction when the Dynamic Trend is green.
Crossovers
As with other moving averages, crossovers between the Dynamic Trend and the price can be significant.
If price is crossing above the Dynamic Trend, then this can be considered as a bullish signal.
If price is crossing below the Dynamic Trend, then this can be considered as a bearish signal.
If you currently hold a position, both bullish and bearish crossovers can serve as potential exit signals. For instance, in the case of a long position, a bearish crossover can indicate a potential shift in sentiment, signaling a bearish reversal and a potential opportunity to close your long position.
Filtering Noise
Due to its adaptive nature, the Dynamic Trend can be a useful tool to filter out market noise. When the market is choppy or consolidating, the Dynamic Trend tends to remain flat and colored gray, signaling traders to potentially stay out of the market.
Stop Losses
The Dynamic Trend can also be used as a dynamic stop loss. For instance, in a long trade, traders can use the Dynamic Trend as a trailing stop, selling their position if the price crosses below the Dynamic Trend.
Combining TRN Trend Bars Pro, Bar Ranges and Dynamic Trend together
Combining all three concepts gives you a crystal-clear picture of the market. The Dynamic Trend shows you the overall trend. If price pulls back to the dynamic trend line and then price picks up the trend direction again, then the TRN Trend Bars Pro immediately switches the color to the trend direction. Therefore, you can easily identify high probability entry signals based on the bar color.
As a simple trading model, you can set the stop loss below the last swing or below a TRN signal bar (vice versa for short entries) and use 2.5 R or 3 R as target.
You can increase the success rate of the high probability TRN signal bars entries even more if they are in line with the Dynamic Trend line.
On the other hand, the TRN Bar Ranges help you to stay out of the market in case the price does not really change. As a confluence signal to stay flat in this period the dynamic trend line tends to be grey as well. If the price breaks out of the range, then the indicator prints a breakout bar which serves as a high probability entry signal.
Although it is possible to switch off any of these concepts, it is highly recommended to use all three in combination to get a crystal-clear picture of the market.
Alerts
Experience the power of our TRN Trend Bars Pro alerts, delivering real-time notifications for trend changes, price range breakouts, and signal bar formations or confirmations. Stay on top of the market with these versatile alerts, customizable to your preferred assets and timeframes.
Conclusion
While signals from TRN Trend Bars Pro can be informative, it is important to recognize that their reliability may vary. Various external factors can impact market prices, and it is essential to consider your risk tolerance and investment goals when executing trades.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
KillZones & Sessions [TradingFinder] Volume | Asia, London & NY🔵 Introduction
🟣 Session
The forex market operates 24 hours a day, 5 days a week, with only Saturdays and Sundays being off; traders often focus on one of the forex trading sessions instead of trying to trade in all markets 24 hours a day.
Trading sessions are time intervals during which a specific financial market is active and trades are conducted. The Asia, London, and New York sessions are the most important trading sessions throughout the 24-hour period, during which a significant amount of money and liquidity enters the market.
🟣 Kill Zone
Traders in financial markets profit from the difference between the price at which they buy or sell and the current market price. Traders have different time horizons for trading.
Among these, some traders engage in daily or even hourly trading and must operate during times when the market has desirable trading volumes and significant price movements.
Kill zones are segments of a session with higher trading volumes and price fluctuations compared to the rest of the session.
🔵 How to Use
🟣 Session Time
The "Asia Session" consists of two sessions: "Sydney" and "Tokyo." The beginning of this session, according to the "UTC" time zone, is at 23:00 and ends at 06:00. Similarly, the beginning of the "Asia KillZone," according to the "UTC" time zone, is at 23:00, and it ends at 03:55.
The "London Session" consists of two sessions: "Frankfurt" and "London." The beginning of this session, according to the "UTC" time zone, is at 07:00, and it ends at 14:25. Similarly, the beginning of the "London KillZone," according to the "UTC" time zone, is at 07:00, and it ends at 09:55.
The beginning of the "New York am" session, according to the "UTC" time zone, is at 14:30, and it ends at 19:25. Similarly, the beginning of the "New York am KillZone," according to the "UTC" time zone, is at 14:30, and it ends at 16:55.
The beginning of the "New York pm" session, according to the "UTC" time zone, is at 19:30, and it ends at 22:55. Similarly, the beginning of the "New York pm KillZone," according to the "UTC" time zone, is at 19:30, and it ends at 20:55.
Important : To prevent session overlap, the working hours of each session have slightly changed.
🔵 Features
🟣 Simultaneous Session and Kill Zone
With this indicator, you can simultaneously view the kill zone and session. High and low lines are used to indicate sessions, while filled areas with color represent kill zones. If you do not want to see kill zones, you can turn off the display settings.
🟣 Candle, Time, and Volume
Using the "More Info" feature, you can see the number of candles, elapsed time, and traded volume within the colored filled area.
🔵 Settings
•Show More Info: To display "More Info," you need to turn on this feature and turn it off whenever you don't need it.
• You can also customize these settings for each session separately :
o Display or hide session.
o Choose session color.
o Set session time range.
o Display or hide kill zone.
o Set kill zone time range.
Range Average Retest Model [LuxAlgo]The Range Average Retest Model tool highlights setups from the range average retest entry model, a model using the retest of the average between two opposite swing points as an entry.
This tool uses long-term volatility coupled with user-defined multipliers to filter out swing areas and set take profit and stop loss levels for all trades.
Key features include:
Draw up to 165 swing areas and their associated trades
Filter out swing areas using Pivot Length , Selection Mode and Threshold parameters
Filter out trades with Maximum Distance and Minimum Distance parameters
Enable or disable swing areas and select default colors
Enable or disable overlapping trades and change the default colors for Take Profit and Stop Loss zones
🔶 USAGE
The "Range Average Retest Model" is an entry model that enters a position when the price retests the average made between two swing points. Users can determine the period of the detected swing points from the "Pivot Length" setting.
The conditions for long or short trades, regardless of whether the swing area is bullish or bearish, are as follows:
Long positions: the current bar close is below the swing area average and the last bar close was above it.
Short positions: the current bar close is above the swing area average price and the last bar close was below it.
Each trade is displayed on the chart with a line connecting it to its swing area highlighting the range average, a green area for the take profit, and a red area for the stop loss.
Both the Take Profit and Stop Loss levels are calculated by applying your own multiplier in the settings panel to the long-term volatility measure, in this case, the average true range over the last 200 bars.
Trades will remain open until they reach either the Stop Loss or Take Profit price levels.
🔹 Filtering Swing Areas
The daily chart of the Nasdaq-100 futures (NQ) with pivot length 2 and bullish selection mode: it only detects bullish swing areas, but they are smaller and more numerous.
Traders can manipulate the behavior of the swing areas from the settings panel.
The Selection mode will filter areas by bias: it will detect bullish areas, bearish areas, or both.
The Threshold parameter is applied to the long-term volatility to filter out areas where the average prices are too close together; the higher the value, the greater the difference between the average prices must be.
🔹 Trades
3-minute chart of the Nasdaq-100 futures (NQ) with pivot length 5, bearish selection mode maximum distance 4, and stop loss 2: many trades detected with very asymmetric risk/reward.
The behavior of the trades is also manipulated from the settings panel.
The maximum and minimum distance parameters specify the number of bars a trade must be away from a swing area.
The Take Profit and Stop Loss parameters are applied to the long-term volatility to obtain their respective price levels.
🔹 Overlapping Trades
Same chart as before, but with overlapping trades: messy, right?
By default the tool does not show overlapping trades, this allows for a cleaner chart.
In the settings panel traders can enable overlapping mode, in which case the tool will show all available trades.
Traders must be aware that the chart can be very crowded.
🔶 SETTINGS
🔹 Swings
Pivot Length: How many bars are used to confirm a swing point. The larger this parameter is, the larger and fewer swing areas will be detected.
Selection Mode: Swing area detection mode, detect only bullish swings, only bearish swings, or both.
Threshold: Swing area comparator. This threshold is multiplied by a measure of volatility (average true range over the last 200 bars), for a new swing area to be detected it must have an average level that is sufficiently distant from the average level of any untouched swing area, this parameter controls that distance.
🔹 Trades
Maximum distance: Maximum distance allowed between a swing area and a trade.
Minimum distance: Minimum distance allowed between a swing area and a trade.
Take profit: The size of the take profit - this threshold is multiplied by a measure of volatility (the average true range over the last 200 bars).
Stop loss: The size of the stop-loss: this threshold is multiplied by a measure of volatility (the average true range over the last 200 bars).
time_and_sessionA library that provides utilities for working with trading sessions and time-based conditions. Functions include session checks, date range checks, day-of-week matching, and session high/low calculations for daily, weekly, monthly, and yearly timeframes. This library streamlines time-related calculations and enhances time-based strategies and indicators.
Library "time_and_session"
Provides functions for checking time and session-based conditions and retrieving session-specific high and low values.
is_session(session, timeframe, timezone)
Checks if the current time is within the specified trading session
Parameters:
session (string) : The trading session, defined using input.session()
timeframe (string) : The timeframe to use, defaults to the current chart's timeframe
timezone (string) : The timezone to use, defaults to the symbol's timezone
Returns: A boolean indicating whether the current time is within the specified trading session
is_date_range(start_time, end_time)
Checks if the current time is within a specified date range
Parameters:
start_time (int) : The start time, defined using input.time()
end_time (int) : The end time, defined using input.time()
Returns: A boolean indicating whether the current time is within the specified date range
is_day_of_week(sunday, monday, tuesday, wednesday, thursday, friday, saturday)
Checks if the current day of the week matches any of the specified days
Parameters:
sunday (bool) : A boolean indicating whether to check for Sunday
monday (bool) : A boolean indicating whether to check for Monday
tuesday (bool) : A boolean indicating whether to check for Tuesday
wednesday (bool) : A boolean indicating whether to check for Wednesday
thursday (bool) : A boolean indicating whether to check for Thursday
friday (bool) : A boolean indicating whether to check for Friday
saturday (bool) : A boolean indicating whether to check for Saturday
Returns: A boolean indicating whether the current day of the week matches any of the specified days
daily_high(source)
Returns the highest value of the specified source during the current daily session
Parameters:
source (float) : The data series to evaluate, defaults to high
Returns: The highest value during the current daily session, or na if the timeframe is not suitable
daily_low(source)
Returns the lowest value of the specified source during the current daily session
Parameters:
source (float) : The data series to evaluate, defaults to low
Returns: The lowest value during the current daily session, or na if the timeframe is not suitable
regular_session_high(source, persist)
Returns the highest value of the specified source during the current regular trading session
Parameters:
source (float) : The data series to evaluate, defaults to high
persist (bool) : A boolean indicating whether to retain the last value outside of regular market hours, defaults to true
Returns: The highest value during the current regular trading session, or na if the timeframe is not suitable
regular_session_low(source, persist)
Returns the lowest value of the specified source during the current regular trading session
Parameters:
source (float) : The data series to evaluate, defaults to low
persist (bool) : A boolean indicating whether to retain the last value outside of regular market hours, defaults to true
Returns: The lowest value during the current regular trading session, or na if the timeframe is not suitable
premarket_session_high(source, persist)
Returns the highest value of the specified source during the current premarket trading session
Parameters:
source (float) : The data series to evaluate, defaults to high
persist (bool) : A boolean indicating whether to retain the last value outside of premarket hours, defaults to true
Returns: The highest value during the current premarket trading session, or na if the timeframe is not suitable
premarket_session_low(source, persist)
Returns the lowest value of the specified source during the current premarket trading session
Parameters:
source (float) : The data series to evaluate, defaults to low
persist (bool) : A boolean indicating whether to retain the last value outside of premarket hours, defaults to true
Returns: The lowest value during the current premarket trading session, or na if the timeframe is not suitable
postmarket_session_high(source, persist)
Returns the highest value of the specified source during the current postmarket trading session
Parameters:
source (float) : The data series to evaluate, defaults to high
persist (bool) : A boolean indicating whether to retain the last value outside of postmarket hours, defaults to true
Returns: The highest value during the current postmarket trading session, or na if the timeframe is not suitable
postmarket_session_low(source, persist)
Returns the lowest value of the specified source during the current postmarket trading session
Parameters:
source (float) : The data series to evaluate, defaults to low
persist (bool) : A boolean indicating whether to retain the last value outside of postmarket hours, defaults to true
Returns: The lowest value during the current postmarket trading session, or na if the timeframe is not suitable
weekly_high(source)
Returns the highest value of the specified source during the current weekly session. Can fail on lower timeframes.
Parameters:
source (float) : The data series to evaluate, defaults to high
Returns: The highest value during the current weekly session, or na if the timeframe is not suitable
weekly_low(source)
Returns the lowest value of the specified source during the current weekly session. Can fail on lower timeframes.
Parameters:
source (float) : The data series to evaluate, defaults to low
Returns: The lowest value during the current weekly session, or na if the timeframe is not suitable
monthly_high(source)
Returns the highest value of the specified source during the current monthly session. Can fail on lower timeframes.
Parameters:
source (float) : The data series to evaluate, defaults to high
Returns: The highest value during the current monthly session, or na if the timeframe is not suitable
monthly_low(source)
Returns the lowest value of the specified source during the current monthly session. Can fail on lower timeframes.
Parameters:
source (float) : The data series to evaluate, defaults to low
Returns: The lowest value during the current monthly session, or na if the timeframe is not suitable
yearly_high(source)
Returns the highest value of the specified source during the current yearly session. Can fail on lower timeframes.
Parameters:
source (float) : The data series to evaluate, defaults to high
Returns: The highest value during the current yearly session, or na if the timeframe is not suitable
yearly_low(source)
Returns the lowest value of the specified source during the current yearly session. Can fail on lower timeframes.
Parameters:
source (float) : The data series to evaluate, defaults to low
Returns: The lowest value during the current yearly session, or na if the timeframe is not suitable
Consolidation & Head and Shoulders ScannerHello Traders!
The Consolidation & Head and Shoulders Scanner utilizes a unique swing-based pattern recognition to pinpoint consolidation and (inverse) head and shoulders patterns in real-time with unparalleled precision.
The rectangle pattern, also known as a trading range or a consolidation pattern, is characterized by horizontal lines that act as support and resistance levels, creating a rectangular shape.
The head and shoulders chart pattern is a technical analysis pattern used to identify potential trend reversals in financial markets. It consists of three swing highs (peaks), with the middle peak being the highest and the two outside swing highs being slightly lower. The middle peak is referred to as the "head" and the two outside peaks are referred to as the "shoulders."
The pattern typically forms after an uptrend and is in most cases a bearish signal. The neckline is a support level that connects the lows of the two shoulders. Once the price breaks below the neckline, the pattern is confirmed, and a new down trend starts. Conversely, an "inverse head and shoulders" pattern forms after a downtrend and is a bullish signal.
The Consolidation & Head and Shoulders Scanner is designed to operate in a fully automated manner, detecting consolidation patterns, head and shoulders patterns and inverse head and shoulders patterns across the symbol and timeframe that you select. It grants you the ability to simultaneously scan for patterns across as many as 20 distinct symbols.
Feature List
Real-time consolidation and (inverse) head and shoulders pattern detection
Breakout alerts
Customizable pattern size and accuracy
Customizable look and feel
The value of this indicator is to support traders to easily identify consolidations and (inverse) head and shoulders patterns in an automated way and across many different markets at the same time. The special swing-based pattern recognition makes this indicator unique. The trader saves a lot of time scanning the markets for consolidation and head and shoulders patterns, since finding the pattern and alerting for a breakout is done automatically for the trader.
For a visualization of the detected patterns, you can add the TRN Consolidation and Range Pattern and the TRN Head and Shoulders Pattern indicators to your chart.
How does Consolidation & Head and Shoulders Scanner work?
On the right side of the chart, you can find a table displaying the symbols monitored by our scanner for pattern and breakout detection (first column). The table provides information on the status of each symbol.
ACTIVE – Pattern building up
UP – Upside Breakout
DN – Downside Breakout
UP CONF – Upside Breakout confirmed
DN CONF – Downside Breakout confirmed
FAILED – Pattern failed to get confirmed
This visual representation allows you to quickly identify the evolving pattern dynamics across different symbols, helping you stay informed and make timely trading decisions.
In the second and fifth column, the status of consolidation patterns with two different consolidation sizes gets displayed. In the third and fourth column, the status of detected long and short head and shoulders patterns is displayed. The same goes for column seven and eight but with a different head and shoulders size which is customizable in the settings.
The scanner operates specifically on the timeframe you have selected in TradingView, ensuring that the detected patterns and breakouts align precisely with your trading perspective. F If the scanner displays a pattern or a breakout, you just can switch to this instrument and start trading it if you like what you see.
Follow these instructions to discover how you can utilize the scanner for seamless and simplified chart pattern detection like never before:
Add Symbols
Go to indicator settings and scroll down to the "Symbols" section. The enabled symbols can be recognized by the check marks. Click on one of them and use the search function to add the symbol of your choice to the scanner. You can search for up to 20 different Symbols at the same time.
Use Alerts (optional but recommended)
You can also use the built-in alerts to easily get notified when a pattern occurs. In the indicator settings in the "Alerts" section you can choose whether you want to get notified when a pattern is
in the making (Pattern active),
confirms an up breakout (B/O Up Confirmed)
confirms a down breakout (B/O Down Confirmed)
(Unconfirmed) in case a pattern breakout occurs, even if the pattern is not yet confirmed
This allows you to stay informed about potential breakout opportunities that are still awaiting confirmation.
Customization and Settings
The indicator can scan for smaller and larger patterns at the same time. Adjust the consolidation and head and shoulders sizes in the indicator settings to align them with your preferences. A larger size results in larger patterns. Depending on the asset class, the market or the market phase, different sizes can be used for pattern detection.
To detect more patterns, increase the tolerance level, even though it may result in lower accuracy. However, be mindful that a higher tolerance level may result in more patterns hitting their stop-loss.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
Consolidation Score ScreenerIn trading, a consolidation range is like a timeout after a big move in the price of a stock or symbol.
It's when the market takes a breather, neither pushing the price up nor down too hard.
Visually, it looks like the price moving sideways on a chart , with highs and lows staying within a certain range.
so this indicator is created to help myself and you decide if its a ranging market and what's the score of that consolidation range
The score ranges between 0 and 10 , where 10 is the max consolidation score , meaning this stock or the symbol is at its highest peak of consolidation .
What would you see using this indicator ?
Symbols circles , inside these circles it will print the consolidation score ..
in the middle of the indicator it will show the range of all the 20 symbols scores .
so it will give you like overall ranging value for your 20 symbols
Settings :
TimeFrame : TimeFrame input to select which time frame you want your indicator to analysis
Range length : The Range that you would want your indicator to take into consideration when doing its analysis .
Features :
20 symbols analysis
Multi timeframe capability
Enjoy .
