Realtime 5D Profile [LucF]█ OVERVIEW
This indicator displays a realtime profile that can be configured to visualize five dimensions: volume, price, time, activity and age. For each price level in a bar or timeframe, you can display total or delta volume or ticks. The tick count measures activity on a level. The thickness of each level's line indicates its age, which helps you identify the most recent levels.
█ WARNING
The indicator only works in real time. Contrary to TradingView's line of volume profile indicators , it does not show anything on historical bars or closed markets, and it cannot display volume information if none exists for the data feed the chart is using. A realtime indicator such as this one only displays information accumulated while it is running on a chart. The information it calculates cannot be saved on charts, nor can it be recalculated from historical bars. If you refresh the chart, or the script must re-execute for some reason, as when you change inputs, the accumulated information will be lost.
Because "Realtime 5D Profile" requires time to accumulate information on the chart, it will be most useful to traders working on small timeframes who trade only one instrument and do not frequently change their chart's symbol or timeframe. Traders working on higher timeframes or constantly changing charts will be better served by TradingView's volume profiles. Before using this indicator, please see the "Limitations" section further down for other important information.
█ HOW TO USE IT
Load the indicator on an active chart (see here if you don't know how).
The default configuration displays:
• A double-sided volume profile showing at what price levels activity has occurred.
• The left side shows "down" volume, the right side shows "up" volume.
• The value corresponding to each level is displayed.
• The width of lines reflects their relative value.
• The thickness of lines reflects their age. Four thicknesses are used, with the thicker lines being the most recent.
• The total value of down/up values for the profile appears at the top.
To understand how to use profiles in your trading, please research the subject. Searches on "volume profile" or "market profile" will yield many useful results. I provide you with tools — I do not teach trading. To understand more about this indicator, read on. If you choose not to do so, please don't ask me to answer questions that are already answered here, nor to make videos; I don't.
█ CONCEPTS
Delta calculations
Volume is slotted in up or down slots depending on whether the price of each new chart update is higher or lower than the previous update's price. When price does not move between chart updates, the last known direction is used. In a perfect world, Pine scripts would have access to bid and ask levels, as this would allow us to know for sure if market orders are being filled on upticks (at the ask) or downticks (at the bid). Comparing the price of successive chart updates provides the most precise way to calculate volume delta on TradingView, but it is still a compromise. Order books are in constant movement; in some cases, order cancellations can cause sudden movements of both the bid and ask levels such that the next chart update can occur on an uptick at a lower price than the previous one (or vice versa). While this update's volume should be slotted in the up slot because a buy market order was filled, it will erroneously be slotted in the down slot because the price of the chart's update is lower than that of the previous one. Luckily, these conditions are relatively rare, so they should not adversely affect calculations.
Levels
A profile is a tool that displays information organized by price levels. You can select the maximum quantity of levels this indicator displays by using the script's "Levels" input. If the profile's height is small enough for level increments to be less than the symbol's tick size, a smaller quantity of levels is used until the profile's height grows sufficiently to allow your specified quantity of levels to be displayed. The exact position of levels is not tethered to the symbol's tick increments. Activity for one level is that which happens on either side of the level, halfway between its higher or lower levels. The lowest/highest levels in the profile thus appear higher/lower than the profile's low/high limits, which are determined by the lowest/highest points reached by price during the profile's life.
Level Values and Length
The profile's vertical structure is dynamic. As the profile's height changes with the price range, it is rebalanced and the price points of its levels may be recalculated. When this happens, past updates will be redistributed among the new profile's levels, and the level values may thus change. The new levels where updates are slotted will of course always be near past ones, but keep this fluidity in mind when watching level values evolve.
The profile's horizontal structure is also dynamic. The maximum length of level lines is controlled by the "Maximum line length" input value. This maximum length is always used for the largest level value in the profile, and the length of other levels is determined by their value relative to that maximum.
Updates vs Ticks
Strictly speaking, a tick is the record of a transaction between two parties. On TradingView, these are detected on seconds charts. On other charts, ticks are aggregated to form a chart update . I use the broader "update" term when it names both events. Note that, confusingly, tick is also used to name an instrument's minimal price increment.
Volume Quality
If you use volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday volume.
█ FEATURES
Double-Sided Profiles
When you choose one of the first two configuration selections in the "Configuration" field's dropdown menu, you are asking the indicator to display a double-sided profile, i.e., where the down values appear on the left and the up ones on the right. In this mode, the formatting options in the top section of inputs apply to both sides of the profile.
Single-Sided Profiles
The six other selections down the "Configuration" field's dropdown menu select single-sided profiles, where one side aggregates the up/down values for either volume or ticks. In this mode, the formatting options in the top section of inputs apply to the left profile. The ones in the following "Right format" section apply to the right profile.
Calculation Mode
The "Calculation" input field allows the selection of one of two modes which applies to single-sided profiles only. Values can represent the simple total of volume or ticks at each level, or their delta. The mode has no effect when a double-sided profile is used because then, the total is represented by the sum of the left and right sides. Note that when totals are selected, all levels appear in the up color.
Age
The age of each level is always displayed as one of four line thicknesses. Thicker lines are used for the youngest levels. The age of levels is determined by averaging the times of the updates composing that level. When viewing double-sided profiles, the age of each side is calculated independently, which entails you can have a down level on the left side of the profile appear thinner than its corresponding up side level line on the right side because the updates composing the up side are more recent. When calculating the age of single-sided profiles, the age of the up/down values aggregated to calculate the side are averaged. Since they may be different, the averaged level ages will not be as responsive as when using a double-sided profile configuration, where the age of levels on each side is calculated independently and follows price action more closely. Moreover, when displaying two single-sided profiles (volume on one side and ticks on the other), the age of both sides will match because they are calculated from the same realtime updates.
Profile Resets
The profile can reset on timeframes or trend changes. The usual timeframe selections are available, including the chart's, in which case the profile will reset on each new chart bar. One of two trend detection logics can be used: Supertrend or the one used by LazyBear in his Weis Wave indicator . Settings for the trend logics are in the bottommost section of the inputs, where you can also control the display of trend changes and states. Note that the "Timeframe" field's setting also applies to the trend detection mechanism. Whatever the timeframe used for trend detection, its logic will not repaint.
Format
Formatting a profile for charts is often a challenge for traders, and this one is no exception. Varying zoom factors on your chart and the frequency of profile resets will require different profile formats. You can achieve a reasonable variety of effects by playing with the following input fields:
• "Resets on" controls how frequently new profiles are drawn. Spacing out profiles between bars can help make them more usable.
• "Levels" determines the maximum quantity of levels displayed.
• "Offset" allows you to shift the profile horizontally.
• "Profile size" affects the global size of the profile.
• Another "Size" field provides control over the size of the totals displayed above the profile.
• "Maximum line length" controls how far away from the center of the bar the lines will stretch left and right.
Colors
The color and brightness of levels and totals always allows you to determine the winning side between up and down values. On double-sided profiles, each side is always of one color, since the left side is down values and the right side, up values. However, the losing side is colored with half its brightness, so the emphasis is put on the winning side. When there is no winner, the toned-down version of each color is used for both sides. Single-sided profiles use the up and down colors in full brightness on the same side. Which one is used reflects the winning side.
Candles
The indicator can color candle bodies and borders independently. If you choose to do so, you may want to disable the chart's bars by using the eye icon near the symbol's name.
Tooltips
A tooltip showing the value of each level is available. If they do not appear when hovering over levels, select the indicator by clicking on its chart name. This should get the tooltips working.
Data Window
As usual, I provide key values in the Data Window, so you can track them. If you compare total realtime volumes for the profile and the built-in "Volume" indicator, you may see variations at some points. They are due to the different mechanisms running each program. In my experience, the values from the built-in don't always update as often as those of the profile, but they eventually catch up.
█ LIMITATIONS
• The levels do not appear exactly at the position they are calculated. They are positioned slightly lower than their actual price levels.
• Drawing a 20-level double-sided profile with totals requires 42 labels. The script will only display the last 500 labels,
so the number of levels you choose affects how many past profiles will remain visible.
• The script is quite taxing, which will sometimes make the chart's tab less responsive.
• When you first load the indicator on a chart, it will begin calculating from that moment; it will not take into account prior chart activity.
• If you let the script run long enough when using profile reset criteria that make profiles last for a long time, the script will eventually run out of memory,
as it will be tracking unmanageable amounts of chart updates. I don't know the exact quantity of updates that will cause this,
but the script can handle upwards of 60K updates per profile, which should last 1D except on the most active markets. You can follow the number of updates in the Data Window.
• The indicator's nature makes it more useful at very small timeframes, typically in the sub 15min realm.
• The Weis Wave trend detection used here has nothing to do with how David Weis detects trend changes.
LazyBear's version was a port of a port, so we are a few generations removed from the Weis technique, which uses reversals by a price unit.
I believe the version used here is useful nonetheless because it complements Supertrend rather well.
█ NOTES
The aggregated view that volume and tick profiles calculate for traders is a good example of one of the most useful things software can do for traders: look at things from a methodical, mathematical perspective, and present results in a meaningful way. Profiles are powerful because, if the volume data they use is of good enough quality, they tell us what levels are important for traders, regardless of the nature or rationality of the methods traders have used to determine those levels. Profiles don't care whether traders use the news, fundamentals, Fib numbers, pivots, or the phases of the moon to find "their" levels. They don't attempt to forecast or explain markets. They show us real stuff containing zero uncertainty, i.e., what HAS happened. I like this.
The indicator's "VPAA" chart name represents four of the five dimensions the indicator displays: volume, price, activity and age. The time dimension is implied by the fact it's a profile — and I couldn't find a proper place for a "T" in there )
I have not included alerts in the script. I may do so in the future.
For the moment, I have no plans to write a profile indicator that works on historical bars. TradingView's volume profiles already do that, and they run much faster than Pine versions could, so I don't see the point in spending efforts on a poor ersatz.
For Pine Coders
• The script uses labels that draw varying quantities of characters to break the limitation constraining other Pine plots/lines to bar boundaries.
• The code's structure was optimized for performance. When it was feasible, global arrays, "input" and other variables were used from functions,
sacrificing function readability and portability for speed. Code was also repeated in some places, to avoid the overhead of frequent function calls in high-traffic areas.
• I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual.
█ THANKS
• To Duyck for his function that sorts an array while keeping it in synch with another array.
The `sortTwoArrays()` function in my script is derived from the Pine Wizard 's code.
• To the one and only Maestro, RicardoSantos , the creative volcano who worked hard to write a function to produce fixed-width, figure space-padded numeric values.
A change in design made the function unnecessary in this script, but I am grateful to you nonetheless.
• To midtownskr8guy , another Pine Wizard who is also a wizard with colors. I use the colors from his Pine Color Magic and Chart Theme Simulator constantly.
• Finally, thanks to users of my earlier "Delta Volume" scripts. Comments and discussions with them encouraged me to persist in figuring out how to achieve what this indicator does.
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RedK Volume-Weighted Directional Efficiency Index (DXF)RedK Volume-Weighted Directional Efficiency Index (DXF) is a momentum indicator - that builds on Kaufman's Efficiency Ratio (ER) concept.
DXF utilizes a restricted +100/-100 oscillator to represent the "quality" of a trend, and does a good job in detecting the possibility of an upcoming trend change (in both direction and quality), improving our ability to make decisions on trade entries and exits.
Here's a quick background on Kaufman's Efficiency Ratio (ER)
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Developed by Perry Kaufman and introduced in his book “New Trading Systems and Methods”, the Efficiency Ratio reflects relative market speed to volatility. There are cases, when it is used as a filter, which helps a trader to avoid ”choppy” markets or trading ranges and to identify smoother trends.
ER is the result of dividing the net change in price movement during n-periods by the sum of all bar-to-bar price changes during the same n-periods. In case the market is trending smoother, then the ratio will be higher. In case the ratio shows readings in proximity to zero, this implies that market movement is inefficient and ”choppy”.
If the Efficiency Ratio shows a reading of +100, this means that the trading instrument is in a bull trend and trending with perfect efficiency.
If the Efficiency Ratio shows a reading of -100, this means that the trading instrument is in a bear trend and trending with perfect efficiency.
It is impossible for any instrument to have a perfect Efficiency ratio, because any movement against the major trend during the examined period of time would cause the ratio to drop.
If the Efficiency Ratio shows a reading above +30 (common setting for the "Significant Level"), this is indicative of a quality bull trend. If the ratio shows a reading below -30, this is indicative of a quality bear trend.
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Kaufman also used the ER as basis for his famous Kaufman Adaptive Moving Average (KAMA).
Read more on ER & Kama here
How is DXF different from other ER-based indicators?
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- Let's get the easy part out of the way: DXF has a "volume-weighting" option ✔
This option is OFF by default (to avoid errors with instruments with no volume data)
- once this option is applied, it provides the benefit of combining the volume effect into the calculation - those who appreciate the effect of volume on price action will hopefully find this option valuable
- The calculation of ER and how it can be "best utilized":
Let's examine the ER concept a bit closer: as a (math) concept, the (original) Efficiency Ratio (ER) takes the positive change of the price of an instrument during a certain period, and divide it by the sum of (absolute) price moves that were observed during that same period.
So, in the trader's language, we will be saying "out of a total of $20 moves (up and down) that MSFT did in the past 10 days, MSFT only made a net change of $5 up during that period" - so the "10-day ER" for MSFT in that case is 5/20 = 25% -- then we continue to observe that ongoing "10-day ER" and if it increases, we can expect that MSFT is going to establish a strong move (trend) up --- right?
the magic word here is to "observe the ongoing ER" - many of the ER based indicators just use the ER as calculated by Kaufman's original method. IMHO, these are just "point-in-time readings" - if we hope to get real insights from the ER, we need to take an average of that reading - for our "time window" we're interested in - and only then we can identify trends and patterns in the ER value as it changes during that windowss- DXF does that - and that allows a trader to say "the (weighted) 5-day average of the 10-day ER for MSFT is increasing, and that why i expect an up-trend" -- makes sense ? both the "Lookback" used to calculate the ER, and the Length of observed "window" for the Average ER are adjustable in DXF settings
Other Uses and Settings :
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- As a momentum indicator, DXF can predict an upcoming change of trend - cause that will reflect on the average ER value. There are few examples in the chart where the price move and ER trend *do not agree* - The trader can see these signs and take decisions accordingly
- DXF can help reveal best entries and exits: assume we are long-term bullish on MSFT, and we want to "buy the dip" - DXF can help reveal the time where price is recovering from extreme weakness - and that would be the ideal buy opportunities for us - exampled marked on the chart
- the Stepping & Smoothing options enable better visualization of the DXF plot. the "raw" DXF is still shown as a silver line.
- The "Significant Levels" option is available and is set to -20/+20 by default .. also adjustable in indicator settings.
- Please use DXF in combination with other trend and volume indicators, and with thorough chart / price action analysis and not in isolation to ensure you get proper signal confirmation for trades. In the chart above, you can see DXF combined with a moving average that can act as a filter and to confirm the price moves.
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As usual, feedback & comments are welcome - if you find this work useful in your trading arsenal, please share a comment - i would be more than happy to learn about that. Good luck!
[laoowai]BNB_USDT_3m_3Commas_Bollinger_MACD_RSI_StrategyBNB_USDT _3m
Release Notes:
Time: 3min
Pair: BNB_USDT
Use: {{strategy.order.alert_message}}
What's the difference with 3Commas Bollinger Strategy by tedwardd:
1. Initial capital: 1210 USDT (10$ Base order / 400$*3 Safety order), if you will change, please change JUST safety order volume or number of safety orders 2-3
2. Using just 2(3) safety order (original script 4)
3. More high-performance strategy for BNB_USDT
4. Using MACD to sell order (original script take profit by scale), thanks Drun30 .
5. Using RSI to analyze the market conditions.
Need to change:
bot_id = input(title="3Commas Bot ID", defval=" YOUR DATA ")
email_token = input(title="Bot Email Token", defval=" YOUR DATA ")
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FAQ copy from tedwardd
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This strategy is intended for use as a way of backtesting various parameters available on 3commas.
The primary inputs for the strategy are:
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// USER INPUTS
Short MA Window - The length of the Short moving average
Long MA Window - The length of the Long moving average
Upper Band Offset - The offset to use for the upper bollinger offset
Lower Band Offset - The offset to use for the lower bollinger offset
Long Stop Loss % - The stop loss percentage to test
Long Take Profit % - The Take profit percentage to test
Initial SO Deviation % - The price deviation percentage required to place to first safety order
Safety Order Vol Step % - The volume scale to test
3Commas Bot ID - (self-explanatory)
Bot Email Token - Found in the deal start message for your bot (see link in the previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match the format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT )
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Start Date, Month, Year and End Date, Month, and Year all apply to the backtesting window. By default, it will use as much data as it can give the current period select (there is less historical data available for periods below 1H) back as far as 2016 (there appears to be no historical data on Trading view much before this). If you would like to test a different period of time, just change these values accordingly.
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Composite bot using a Bollinger band type trading strategy. While its primary intention is to provide users a way of backtesting bot parameters, it can also be used to trigger a deal start by either using the {{strategy.order.alert_message}} field in your alert and providing the bot details in the configuration screen for the strategy or by including the usual deal start message provided by 3commas.
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Original script:
1. 3Commas Bollinger Strategy by tedwardd
2. Momentum Strategy ( BTC /USDT; 1h) - MACD (with source code) by Drun30
3Commas Bollinger StrategyThis strategy is intended for use as a way of backtesting various parameters available on 3commas.io composite bot using a bollinger band type trading strategy. While it's primary intention is to provide users a way of backtesting bot parameters, it can also be used to trigger a deal start by either using the {{strategy.open.alert_message}} field in your alert and providing the bot details in the configuration screen for the strategy or by including the usual deal start message provided by 3commas. You can find more information about how to do this from help.3commas.io
The primary inputs for the strategy are:
// USER INPUTS
Short MA Window - The length of the Short moving average
Long MA Window - The length of the Long moving average
Upper Band Offset - The offset to use for the upper bollinger offset
Lower Band Offset - The offset to use for the lower bollinger offset
Long Stop Loss % - The stop loss percentage to test
Long Take Profit % - The Take profit percentage to test
Initial SO Deviation % - The price deviation percentage required to place to first safety order
Safety Order Vol Step % - The volume scale to test
3Commas Bot ID - (self explanatory)
Bot Email Token - Found in the deal start message for your bot (see link in previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT)
Start Date, Month, Year and End Date, Month and Year all apply to the backtesting window. By default it will use as much data as it can given the current period select (there is less historical data available for periods below 1H) back as far as 2016 (there appears to be no historical data on Trading view much before this). If you would like to test a different period of time, just change these values accordingly.
Known Issues
Currently there are a couple of issues with this strategy that you should be aware of. I may fix them at some point in the future but they don't really bug me so this is more for informational purposes than a promise that they may one day be fixed.
Does not test trailing take profit
Number of safety orders and Safety Order Step Scale are currently not user configurable (must edit source code)
Using the user configuration to generate deal start message assumes you are triggering a composite bot, not a simple bot.
Gann Fan Analysis v 3.0The openness of this community is amazing and I have gained a lot from being a member. Hopefully you think this is useful so I can give something back.
This indicator constructs a reference framework of Support and Resistance levels based on Gann Fan ratios. Two fans are created: Support or Bullish fan, and a Resistance or Bearish fan. The origin of the analysis is the lowest pivot in the analysis window set by the length input. The upper bound of the analysis is the highest pivot in the analysis window. This is the only user input that affects the fan calculation. The remaining user input controls the visualization of the fans. The fan calculations are updated as the high and low within the analysis window change. The resistance fan range is based on an assumed 70% retracement.
Indicator also highlights the active Support and Resistance lines of each fan. An alert is also included, based on the price crossing one of these active levels.
Currently I can't figure out how to get the analysis to extend beyond 278 or so bars (not sure what the limitation is) so it isn't really useful for intraday timeframes, but it is reliable on daily and above. I use it on a Weekly view with the analysis length set to 52, and on a daily timeframe with the length set to 260.
I included fractal visualization using Ricardo Santos' Fractals v9 script as a means of confirming the Gann Fan pivots. The two methods seems to correlate well, in my opinion.
The coding is terrible, I'm sure, so please overlook that as this my first complex effort. I'm a total amateur!
Matrix Library (Linear Algebra, incl Multiple Linear Regression)What's this all about?
Ever since 1D arrays were added to Pine Script, many wonderful new opportunities have opened up. There has been a few implementations of matrices and matrix math (most notably by TradingView-user tbiktag in his recent Moving Regression script: ). However, so far, no comprehensive libraries for matrix math and linear algebra has been developed. This script aims to change that.
I'm not math expert, but I like learning new things, so I took it upon myself to relearn linear algebra these past few months, and create a matrix math library for Pine Script. The goal with the library was to make a comprehensive collection of functions that can be used to perform as many of the standard operations on matrices as possible, and to implement functions to solve systems of linear equations. The library implements matrices using arrays, and many standard functions to manipulate these matrices have been added as well.
The main purpose of the library is to give users the ability to solve systems of linear equations (useful for Multiple Linear Regression with K number of independent variables for example), but it can also be used to simulate 2D arrays for any purpose.
So how do I use this thing?
Personally, what I do with my private Pine Script libraries is I keep them stored as text-files in a Libraries folder, and I copy and paste them into my code when I need them. This library is quite large, so I have made sure to use brackets in comments to easily hide any part of the code. This helps with big libraries like this one.
The parts of this script that you need to copy are labeled "MathLib", "ArrayLib", and "MatrixLib". The matrix library is dependent on the functions from these other two libraries, but they are stripped down to only include the functions used by the MatrixLib library.
When you have the code in your script (pasted somewhere below the "study()" call), you can create a matrix by calling one of the constructor functions. All functions in this library start with "matrix_", and all constructors start with either "create" or "copy". I suggest you read through the code though. The functions have very descriptive names, and a short description of what each function does is included in a header comment directly above it. The functions generally come in the following order:
Constructors: These are used to create matrices (empy with no rows or columns, set shape filled with 0s, from a time series or an array, and so on).
Getters and setters: These are used to get data from a matrix (like the value of an element or a full row or column).
Matrix manipulations: These functions manipulate the matrix in some way (for example, functions to append columns or rows to a matrix).
Matrix operations: These are the matrix operations. They include things like basic math operations for two indices, to transposing a matrix.
Decompositions and solvers: Next up are functions to solve systems of linear equations. These include LU and QR decomposition and solvers, and functions for calculating the pseudo-inverse or inverse of a matrix.
Multiple Linear Regression: Lastly, we find an implementation of a multiple linear regression, including all the standard statistics one can expect to find in most statistical software packages.
Are there any working examples of how to use the library?
Yes, at the very end of the script, there is an example that plots the predictions from a multiple linear regression with two independent (explanatory) X variables, regressing the chart data (the Y variable) on these X variables. You can look at this code to see a real-world example of how to use the code in this library.
Are there any limitations?
There are no hard limiations, but the matrices uses arrays, so the number of elements can never exceed the number of elements supported by Pine Script (minus 2, since two elements are used internally by the library to store row and column count). Some of the operations do use a lot of resources though, and as a result, some things can not be done without timing out. This can vary from time to time as well, as this is primarily dependent on the available resources from the Pine Script servers. For instance, the multiple linear regression cannot be used with a lookback window above 10 or 12 most of the time, if the statistics are reported. If no statistics are reported (and therefore not calculated), the lookback window can usually be extended to around 60-80 bars before the servers time out the execution.
Hopefully the dev-team at TradingView sees this script and find ways to implement this functionality diretly into Pine Script, as that would speed up many of the operations and make things like MLR (multiple linear regression) possible on a bigger lookback window.
Some parting words
This library has taken a few months to write, and I have taken all the steps I can think of to test it for bugs. Some may have slipped through anyway, so please let me know if you find any, and I'll try my best to fix them when I have time to do so. This library is intended to help the community. Therefore, I am releasing the library as open source, in the hopes that people may improving on it, or using it in their own work. If you do make something cool with this, or if you find ways to improve the code, please let me know in the comments.
Point and Figure Chart - LiveHello Traders,
This is "Point and Figure Chart (PnF)" script that run in separated window in real time. The separated PnF chart window is timeless, so no relation with the time on the chart. PnF chart consist of "X" and "O" columns. While "X" columns represents rising prices, "O" column represents a falling price. If you have no idea about what PnF charting is then you should search for "Point and Figure Charting" on the net and get some info before using this script.
Now lets talk about details. PnF Chart requires at least two variables to be set => Box size and Reversal. Box size represents the size of each X/O in PnF chart and the reversal is used to calculate new X/O or reversal. for example if currrent column is X column then for new "X", "box size * 1" move is needed and for new "O" column or reversal, "box size * revelsal" move is needed. in the script I use lines as X/O columns.
In the options you can set "Box Size Assingment Method". you have 3 options Traditional, ATR, Percentage . what are they?
Traditional: user-defined box size, means you can set the box size as you wish, using the option . if you use this option then you should set it accordingly.
ATR : that's dynamic box size scaling and on each columns it's calculated once, you can set length for ATR
Percentage: that's also dynamic box size scaling according to closing price when new column appeared. if you use this option then you should set it accordingly.
Reversal: The reversal is typically 3 but you can change it as you wish
"Change Bar Color by PnF Trend": if you enable this option then bar color changes by PnF columns, by default it's not enabled
"Change Column Color When Breakout Occurs": PnF color changes if Double Top/Bottom breakout accours. enabled by default and you can set the colors as you wish using the options
"Change Bar Color When Breakout Occurs": bar colors changed if Double Top/Bottom breakout accours. enabled by default and you can set the colors as you wish using the options
the script checks only Double Top/Bottom breakouts at the moment. there are many other breakouts such Triple/Quadruple, Ascending/Descending Triple Top/Bottom breakouts, Catapult etc.
Also the script shows new X/O level and reversal Levels in PnF window. An example:
If you enable "Change Bar Color by PnF Trend" option:
An example if you disable the option "Change Column Color When Breakout Occurs
You may want to see my another/older "Point and Point Chart" script as well. you can find it in my profile/published scripts and in the Public Library. I use same PnF calculation algorithm in both scripts.
Enjoy!
Smooth First Derivative IndicatorIntroducing the Smooth First Derivative indicator. For each time step, the script numerically differentiates the price data using prior datapoints from the look-back window. The resulting time derivative (the rate of price change over time) is presented as a centered oscillator.
A first derivative is a versatile tool used in functional data analysis. When applied to price data, it can be applied to analyze momentum, confirm trend direction, and identify pivot points.
Model Description:
The model assumes that, within the look-back window, price data can be well approximated by a smooth differentiable function. The first derivative can then be computed numerically using a noise-robust one-sided differentiator. The current version of the script employs smooth differentiators developed by P. Holoborodko (www.holoborodko.com). Note that the Indicator should not be confused with Constance Brown's Derivative Oscillator.
Input parameter:
The Bandwidth parameter sets the number of points in the moving look-back window and thus determines the smoothness of the first derivative curve. Note that a smoother Indicator shows a greater lag.
Interpretation:
When using this Indicator, one should recall that the first derivative can simply be interpreted as the slope of the curve:
- The maximum (minimum) in the Indicator corresponds to the point at which the market experiences the maximum upward (downward) slope, i.e., the inflection point. The steeper the slope, the greater the Indicator value.
- The positive-to-negative zero-crossing in the Indicator suggests that the market has formed a local maximum (potential start of a downtrend or a period of consolidation). Likewise, a zero-crossing from negative to positive is a potential bullish signal.
[R&D] Moving CentroidThis script utilizes this concept. Instead of weighting by volume, it weights by amount of price action on every close price of the rolling window. I assume it can be used as an additional reference point for price mode and price antimode.
it is directly connected with Market (not volume) profile, or TPO charts.
The algorithm:
1) takes a rolling window of, for example, 50 data points of close prices:
2) for each of this closing prices, the algorithm will check how many bars touched this close price.
3) then: sum of datapoints * weights/sum of weights
Since the logic is implemented in pretty non-efficient way, the script sometimes can take time to make calculations. Moreover, it calculates the centroid taking into account only close prices, not every tick. of a given rolling window That's why it's still experimental.
Fair Value Gap (FVG) Histogram [Kodeus]The Fair Value Gap (FVG) Histogram is a tool designed to detect, visualize, and analyze Fair Value Gaps (FVGs) directly on your charts. It combines statistical distribution analysis with real-time signal detection, allowing traders to spot extreme imbalances, evaluate their significance, and track historical performance. This indicator is useful for traders who want to better understand the occurrence and magnitude of gaps in price action while integrating both directional bias and probability analysis.
// Bullish gap condition
low > high
// Bearish gap condition
high < low
🔷 Key Features
Fair Value Gap Detection: Automatically identifies both bullish and bearish gaps based on price displacements.
Performance Window: Customizable lookback period to evaluate relative gap significance.
Extreme Gap Alerts: Highlight potential trading opportunities when gap magnitude exceeds historical thresholds.
Distribution Analysis: Generates a histogram of gap magnitudes across a user-defined sample size and bucket count.
Frequency Mapping: Optional display of bin frequencies to better understand signal clustering.
Gap Fading Option: Ability to fade minor/insignificant gaps for clearer visual focus.
🔷 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
VWAP Suite {Phanchai}VWAP Suite {Phanchai}
Compact, readable, TradingView-friendly.
What is VWAP?
The Volume Weighted Average Price (VWAP) is the average price of a period weighted by traded volume. It’s used as a fair-value reference (mean) and resets at the start of each new period.
Included VWAP Modes
Session — resets each trading day (current session).
Week / Month / Quarter / Year — current calendar periods.
Anchored Week / Month / Quarter / Year — starts at the beginning of the previous completed period.
Rolling 7D / 30D / 90D — rolling windows: today + last 6/29/89 daily sessions.
Important
This suite does not generate buy/sell signals. It provides structure and confluence; decisions remain yours.
Use Cases
Identify fair-value zones / mean-reversion areas.
Plan TP / SL around periodic VWAPs.
Define DCA levels (e.g., anchored to prior week/month).
Gauge trend bias via VWAP slope and reactions.
How to Use
Inputs → VWAP 1..5: Choose the period per slot (Session, Anchored, Rolling, etc.) and toggle Show .
Sources: Select the price source for all VWAPs (default: HLC3).
Global: Line offset (bars) shifts plots visually (does not affect calculations).
Style tab: Adjust per-line colors, thickness, and line style.
Alerts
Price crosses a VWAP (per slot).
VWAP slope turns UP or DOWN (per slot).
Tips & Notes
Volume required: Poor/absent volume (e.g., some FX tickers) can degrade accuracy.
Anchored modes: Start at the prior period’s open; values appear only after that timestamp.
Rolling modes: Use completed daily sessions (including today).
Clutter control: If labels crowd, increase Line offset or hide unneeded slots.
Confluence: Combine with market structure, liquidity zones, or momentum filters for stronger context.
Built for clear VWAP workflows. Trade safe!
Market Open Impulse [LuciTech]Market Open Impulse Strategy
The Market Open Impulse Strategy is designed to capture significant price movements that occur at market open (2:30 PM UK time). This strategy identifies impulsive candles with high volatility and enters trades based on the direction and strength of the initial market reaction.
How It Works:
The strategy activates exclusively at 2:30 PM UK time during market open sessions. It uses ATR-based volatility filtering to identify impulsive candles that exceed a configurable multiplier (default 1.5x ATR). Long entries are triggered when an impulsive candle closes above its midpoint and above the opening price, while short entries occur when an impulsive candle closes below its midpoint and below the opening price.
Risk management is handled through precise stop loss placement at the opposite extreme of the impulse candle (high for short positions, low for long positions). Take profit levels are calculated using a configurable risk-reward ratio with a default setting of 3:1. Position sizing is automatically calculated based on the percentage risk per trade, and an optional breakeven feature can move the stop loss to the entry price at specified profit levels.
The strategy incorporates time-based filtering to ensure trades only occur during the specified market open window. Visual indicators highlight qualifying impulsive candles and plot all entry and exit levels for clear trade management. The system offers flexible risk management with customizable risk percentage, risk-reward ratios, and breakeven settings, along with multiple stop loss calculation methods including both ATR-based and candle-based options.
Key Parameters:
Market open timing is fully configurable through hour and minute settings for strategy activation. The impulse ATR multiple sets the minimum volatility threshold required for trade qualification, with visual highlighting available for qualifying setups. Risk management parameters include the percentage of account equity to risk per trade, target profit multiples relative to initial risk, and the profit level threshold for breakeven stop loss adjustment. Users can choose between ATR-based or candle-based stop loss calculation methods and adjust technical parameters for volatility calculation including ATR length and smoothing methods.
Applications:
This strategy is particularly effective for trading market open volatility and momentum, capturing institutional order flow during key timing windows, executing short-term swing trades on significant price impulses, and trading markets with predictable opening patterns and consistent volatility characteristics.
DTLLC Time & PriceDTLLC Time and Price with Signals
This indicator is built for traders who understand ICT concepts and want a structured, visual way to align time-based price action with key market levels. By combining customizable trading windows, breakout logic, and daily reference points, it helps you identify high-probability trade opportunities while filtering out market noise.
Key Features
1. Dual Custom Time Ranges (Kill Zones)
Set two independent time ranges per day (start/end hour and minute).
Each range identifies the highest high and lowest low within its window.
Built-in breakout detection generates buy/sell signals when price moves beyond these levels.
2. Volatility Filtering
Adjustable volatility threshold based on True Range relative to ATR.
Filters out low-quality signals during choppy, low-volatility conditions.
3. ATR-Based Stop Loss
Custom ATR length and stop-loss multiplier settings.
Automatically plots ATR-based stop levels for triggered trades.
4. Daily Key Levels
Plots Previous Day High, Previous Day Low, and Midnight Open continuously on the chart.
Useful for spotting breakout and reversal opportunities in line with ICT market structure concepts.
5. Liquidity & Engulfing Candle Highlights
Highlights potential liquidity grab zones (yellow candles) when significant highs/lows are set within your lookback period.
Detects bullish (green) and bearish (red) engulfing patterns for added confluence.
6. Visual & Signal Tools
Buy/Sell signals plotted directly on chart (separate colors for Range 1 and Range 2). Continuous plotting of reference levels to maintain market context throughout the session.
Example Use Case:
A common ICT-inspired reversal setup:
Wait for price to sweep the Previous Day’s High or Low during your chosen time range.
Look for a buy or sell signal with volatility confirmation.
Manage risk using the ATR-based stop-loss plot.
Disclaimer: This script is for educational purposes only and is not financial advice. Trade responsibly and always test strategies before applying them in live markets.
Quant Signals: Market Sentiment Monitor HUDWavelets & Scale Spectrum
This indicator is ideal for traders who adapt their strategy to market conditions — such as swing traders, intraday traders, and system developers.
Trend-followers can use it to confirm trending conditions before entering.
Mean-reversion traders can spot choppy markets where reversals are more likely.
Risk managers can monitor volatility shifts and regime changes to adjust position size or pause trading.
It works best as a market context filter — telling you the “weather” before you decide on the trade.
Wavelets are like tiny “measuring rulers” for price changes. Instead of looking at the whole chart at once, a wavelet looks at differences in price over a specific time scale — for example, 2 bars, 4 bars, 8 bars, and so on.
The scale spectrum is what you get when you measure volatility at several of these scales and then plot them against scale size.
If the spectrum forms a straight line on a log–log chart, it means price changes follow a consistent pattern across time scales (a power-law relationship).
The slope of that line gives the Hurst exponent (H) — telling you whether moves tend to persist (trend) or reverse (mean-revert).
The height of the line gives you the volatility (σ) — the average size of moves.
This approach works like a microscope, revealing whether the market’s behaviour is consistent across short-term and long-term horizons, and when that behaviour changes.
This tool applies a wavelet-based scale-spectrum analysis to price data to estimate three key market state measures inside a rolling window:
Hurst exponent (H) — measures persistence in price moves:
H > ~0.55 → market is trending (moves tend to continue).
H < ~0.45 → market is choppy/mean-reverting (moves tend to reverse).
Values near 0.5 indicate a neutral, random-walk-like regime.
Volatility (σ) — the average size of price swings at your chart’s timeframe, optionally annualized. Rising volatility means larger price moves, falling volatility means smaller moves.
Fit residual — how well the observed multi-scale volatility fits a clean power-law line. Low residual = stable behaviour; high residual = structural change (possible regime shift).
AI Breakout Bands (Zeiierman)█ Overview
AI Breakout Bands (Zeiierman) is an adaptive trend and breakout detection system that combines Kalman filtering with advanced K-Nearest Neighbor (KNN) smoothing. The result is a smart, self-adjusting band structure that adapts to dynamic market behavior, identifying breakout conditions with precision and visual clarity.
At its core, this indicator estimates price behavior using a two-dimensional Kalman filter (position + velocity), then enhances the smoothing process with a nonlinear, similarity-based KNN filter. This unique blend enables it to handle noisy markets and directional shifts with both speed and stability — providing breakout traders and trend followers a reliable framework to act on.
Whether you're identifying volatility expansions, capturing trend continuations, or spotting early breakout conditions, AI Breakout Bands gives you a mathematically grounded, visually adaptive roadmap of real-time market structure.
█ How It Works
⚪ Kalman Filter Engine
The Kalman filter models price movement as a state system with two components:
Position (price)
Velocity (trend direction)
It recursively updates predictions using real-time price as a noisy observation, balancing responsiveness with smoothness.
Process Noise (Position) controls sensitivity to sudden moves.
Process Noise (Velocity) controls smoothing of directional flow.
Measurement Noise (R) defines how much the filter "trusts" live price data.
This component alone creates a responsive yet stable estimate of the market’s center of gravity.
⚪ Advanced K-Neighbor Smoothing
After the Kalman estimate is computed, the script applies a custom K-Nearest Neighbor (KNN) smoother.
Rather than averaging raw values, this method:
Finds K most similar past Kalman values
Weighs them by similarity (inverse of absolute distance)
Produces a smoother that emphasizes structural similarity
This nonlinear approach gives the indicator an AI feature — reacting fast when needed, yet staying calm in consolidation.
█ How to Use
⚪ Trend Recognition
The line color shifts dynamically based on slope direction and breakout confirmation.
Bullish conditions: price above the mid band with positive slope
Bearish conditions: price below the mid band with negative slope
⚪ Breakout Signals
Price breaking above or below the bands may signal momentum acceleration.
Combine with your own volume or momentum confirmation for stronger entries.
Bands adapt to market noise, helping filter out low-quality whipsaws.
█ Settings
Process Noise (Position): Controls Kalman filter’s sensitivity to price changes.
Process Noise (Velocity): Controls smoothing of directional component.
Measurement Noise (R): Defines how much trust is placed in price data.
K-Neighbor Length: Number of historical Kalman values considered for smoothing.
Slope Calculation Window: Number of bars used to compute trend slope of the smoothed Kalman.
Band Lookback (MAE): Rolling period for average absolute error.
Band Multiplier: Multiplies MAE to determine band width.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Sweep + BOS (Lines + First Confirmed Only)🔍 Indicator: Sweep + BOS (Break of Structure with Visual Lines)
🧠 Overview
This indicator combines Swing detection, Liquidity Sweeps, and Break of Structure (BOS) logic, with:
Customizable swing length,
BOS signals only after confirmed sweeps,
BOS shown only once per sweep,
Visual labels and connecting lines to highlight structure breaks clearly.
⚙️ Inputs
Swing Length:
Defines how many candles to use to identify a swing high/low. Must be an odd number (e.g., 3, 5, 7...).
Sweep Lookback Window:
Sets how far back the script checks for a sweep (false breakout over a swing).
BOS Validity After Sweep:
Number of bars within which a BOS can be considered valid after a sweep.
Toggle Options:
Show/hide:
Swing Labels
Sweep Labels
BOS Labels
BOS Connecting Lines
📌 Logic Breakdown
✅ Swings
Swing High: A candle’s high is greater than the highs of all N candles on both sides.
Swing Low: A candle’s low is lower than the lows of all N candles on both sides.
💧 Liquidity Sweeps
Sweep High:
Price spikes above a previous Swing High,
Then closes back below it (false breakout).
Sweep Low:
Price drops below a previous Swing Low,
Then closes back above it.
🔁 Break of Structure (BOS)
A BOS is only shown if:
It occurs after a valid sweep (within X bars),
It hasn’t been already plotted for that sweep,
BOS ↑ is only possible after Sweep Low,
BOS ↓ is only possible after Sweep High,
Opposite BOS type resets the last BOS state.
BOS ↑ (Bullish):
Confirmed when price closes above previous Swing High after Sweep Low.
Label appears at the candle low.
A line is drawn from the Swing Low to the BOS candle.
BOS ↓ (Bearish):
Confirmed when price closes below previous Swing Low after Sweep High.
Label appears at the candle high.
A line is drawn from the Swing High to the BOS candle.
BTC-OTHERS Liquidity PivotBTC-OTHERS Liquidity Map – 1-hour Multi-Asset Pivot Scanner
WHAT IT DOES
This script tracks liquidity shifts between Bitcoin (BTC) and the broader alt-coin market (the OTHERS market-cap index that excludes the top-10 coins). It labels every confirmed 1-hour swing high or low on both assets, then flags four states:
BearPivot – BTC prints a new swing High while OTHERS does not; liquidity crowds into BTC and alts are weak.
BullPivot – BTC prints a swing Low and OTHERS forms a Higher Low; fresh liquidity starts flowing into stronger alts.
BearCon – BTC prints a swing Low and OTHERS forms a Lower Low; down-trend continuation.
BullCon – No new BTC Low while OTHERS makes a Higher High; up-trend continuation.
Signals appear on the actual pivot bar (offset back by the look-back length), so they never repaint after confirmation.
HOW THE PIVOTS ARE FOUND
• Symmetrical window: “Pivot Len” bars to the left and right (default 21).
• Full confirmation on both sides delivers stable, non-repainting pivots at the cost of about Pivot Len bars’ delay.
• Labels are offset –Pivot Len so they sit on the genuine extreme.
INPUTS
Symbols: BTC symbol and an OTHERS symbol so you can switch exchanges or choose another alt index.
Pivot Len: tighten for faster but noisier signals; widen for cleaner pivots.
Style: customise shape and text colours.
PLOTS AND ALERTS
Four labelled shapes (BearPivot, BullPivot, BearCon, BullCon) plot above or below price. Each label is linked to an alertcondition, so you can create one-click alerts and stay informed without watching the screen.
TYPICAL WORKFLOW
1. Attach the script to any 1-hour BTC chart (or leave the script’s timeframe empty to follow your current chart TF).
2. Turn on alerts to receive push/email notifications.
3. Use the labels as a liquidity compass, combining them with volume, funding or your own strategy for actual entries and exits.
Enjoy and trade safe.
Bid/Ask Volume Tension with Rolling Avg📊 Bid/Ask Volume Tension with Rolling Average
This indicator is designed to help traders identify pivotal moments of buildup, exhaustion, or imbalance in the market by calculating the tension between buy and sell volume.
🔍 How It Works:
Buy volume is approximated when the candle closes higher than or equal to its open.
Sell volume is approximated when the candle closes below its open.
Both are smoothed using an EMA (Exponential Moving Average) for noise reduction.
Tension is calculated as the absolute difference between smoothed buy and sell volume.
A rolling average of tension shows the baseline for normal behavior.
When instant tension rises significantly above the rolling average, it often signals:
A build-up before a large move
Aggressive order flow imbalances
Potential reversals or breakouts
🧠 How to Use:
Watch the orange line (instant tension) for spikes above the aqua line (rolling average).
Purple background highlights show when tension exceeds a customizable multiple of the average — a potential setup zone.
Use this indicator alongside:
Price action (candlestick structure)
Support/resistance
Liquidity zones or order blocks
⚙️ Settings:
Smoothing Length: Controls the responsiveness of buy/sell volume smoothing.
Rolling Avg Window: Defines the lookback period for the baseline tension.
Buildup Threshold: Triggers highlight zones when tension exceeds this multiple of the average.
🧪 Best For:
Spotting pre-breakout tension
Detecting volume-based divergences
Confirming order flow imbalances
Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution
Strategy Overview
This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade.
Core Concepts
• Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns.
• Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals.
• Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price.
Key Features
Fully customizable aggregation factor for zone detection
Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels
Optional removal of mitigated zones for cleaner charting
Configurable trade mode (Long only, Short only, or Both)
Support for trading sessions and date filtering
Alerts for price entering supply or demand zones
How to Use
Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe).
Enable Zones: Turn on supply and/or demand zones as needed.
Set Execution Parameters:
– Choose R-multiple (e.g., 2:1 risk-reward)
– Or use a fixed take-profit price
Define Trade Time Window:
– Set the date and time ranges to restrict execution
– Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York)
Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility.
Ideal For
• Traders using Smart Money Concepts (SMC)
• Those who value high-confluence entries
• Intraday to swing traders looking for structure-based automation
⚠️ Important Notes
• The strategy requires engulfing confirmation within the zone to enter a position.
• This script does not repaint and executes trades on a bar close basis.
• Backtest results may vary based on session filters and aggregation factor.
© Attribution
This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0.
You are free to use, modify, and distribute it under the terms of that license.
Enhanced Daily Sentiment & Auction Area Trading StrategyDetermine Daily Sentiment (Anchor Chart - Daily TF):
Analyze Yesterday's Daily Candle: Look at the previous day's daily candlestick (high, low, open, close). This is the "most important information."
Establish Bias: If yesterday's candle was bullish (closed higher), the bias for today is generally long (approx. 80% of the time). If bearish, the bias is short.
Moving Average Context: Note if the daily price is above or below its short-term moving average (e.g., 21 or 50 MA). This should align with the candle's bias (e.g., bullish daily candle above its MA).
Pre-Market & Opening Analysis (Information Gathering):
Check for Gaps: Observe if the market is gapping up or down in the pre-market session relative to yesterday's close. This provides an early clue to current sentiment.
Consider Overall Sentiment: Briefly factor in relevant news or overarching market sentiment (e.g., data releases, overall market feeling from yields, gold etc.). Trading Window: Focus primarily on trading within the first hour of the U.S. market open, as this is when volatility is typically highest, which the strategy relies on.
Setup 5-Minute Chart for Execution (Trading TF - 5-min):
Apply Moving Average: Use the same short-term moving average (e.g., 21 or 50 MA) as on the daily chart.
Seek Alignment (Crucial): The 5-minute chart's trend and price action relative to its MA must align with the daily chart's bias and MA relationship.
If Daily bias is LONG (price above daily MA), the 5-minute chart should also show price establishing itself above its 5-min MA, ideally with a similar "45-degree angle" uptrend.
If Daily bias is SHORT (price below daily MA), the 5-minute chart should also show price establishing itself below its 5-min MA, with a similar downtrend. If there's no clear alignment between the daily and 5-minute chart structure/MA, do not trade.
Identify the "Auction Area" (Value/Congestion) on the 5-Minute Chart:
This is a recent area of congestion, a small support/resistance flip, or where price has paused, consolidated, and is retesting, often near the 5-minute MA.
Uptrend (Long Bias): Look for a pullback (a small "V" shape dip) towards the 5-minute MA or a recent small resistance-turned-support area. This is the "auction retest" before a potential breakout higher.
Downtrend (Short Bias): Look for a pullback rally (an inverted "V" shape) towards the 5-minute MA or a recent small support-turned-resistance area.
ORB 5M + VWAP + Braid Filter + TP 2R o Niveles PreviosORB 5-Minute Breakout Strategy Summary
Strategy Name:
ORB 5M + VWAP + Braid Filter + TP 2R or Previous Levels
Timeframe:
5-minute chart
Trading Window:
9:35 AM to 11:00 AM (New York time)
✅ Entry Conditions:
Opening Range: Defined from 9:30 to 9:35 AM (first 5-minute candle).
Breakout Entry:
Long trade: Price breaks above the opening range high.
Short trade: Price breaks below the opening range low.
Confirmation Filters (All must be met):
Strong candle (green for long, red for short).
VWAP in the direction of the trade.
Braid Filter by Mango2Juice supports the breakout direction (green for long, red for short).
📉 Stop Loss:
Placed at the opposite side of the opening range.
🎯 Take Profit (TP):
+2R (Risk-to-Reward Ratio of 2:1),
or
Closest of the following: previous day’s high/low or premarket levels.
⚙️ Additional Rules:
Only valid signals between 9:35 and 11:00 AM.
Only one trade per breakout direction per day.
Filter out "trap candles" (very small or indecisive candles).
Avoid trading after 11:00 AM.
📊 Performance Goals:
Maintain a high Profit Factor (above 3 ideally).
Focus on tickers with good historical performance under this strategy (e.g., AMZN, PLTR, CVNA).
Stoch Quad Oscillator📘 Stoch Quad Oscillator – User Guide
✅ Purpose
The Stoch Quad Oscillator is a multi-timeframe stochastic oscillator tool that helps traders detect oversold and overbought conditions, momentum shifts, and quad rotation signals using four distinct stochastic configurations. It includes visual cues, customizable parameters, and background highlights to improve decision-making during trend reversals or momentum surges.
🛠️ Inputs & Parameters
⏱ Timeframe
Timeframe for Stochastic Calculation: Defines which chart timeframe to use for stochastic calculations (default is "1" minute). This enables multi-timeframe analysis while on a lower timeframe chart.
📈 Stochastic Parameters
Four different stochastic configurations are used:
Label %K Length %D Smoothing Notes
K9 D3 9 3 Fastest, short-term view
K14 D3 14 3 Moderately short-term
K40 D4 40 4 Medium-term trend view
K60 D10 60 10 Long-term strength
Smoothing Type: Choose between SMA or EMA to control how smoothed the %D line is.
🎯 Levels
Overbought Level: Default 80
Oversold Level: Default 20
These are used to indicate overextended price conditions on any of the stochastic plots.
🔄 Quad Rotation Detection Settings
When enabled, the script detects synchronized oversold/overbought conditions with strong momentum using all 4 stochastic readings.
Enable Quad Rotation: Toggles detection on or off
Slope Calculation Bars: Number of bars used to calculate slope of %D lines
Slope Threshold: Minimum slope strength for signal (higher = stronger confirmation)
Oversold Quad Level: Total of all four stochastic values that define a quad oversold zone
Overbought Quad Level: Total of all four stochastic values that define a quad overbought zone
Oversold Quad Highlight Color: Background color when oversold quad is triggered
Overbought Quad Highlight Color: Background color when overbought quad is triggered
Slope Averaging Method: Either Simple Average or Weighted Average (puts more weight on higher timeframes)
Max Signal Bar Window: Defines how recent the signal must be to be considered valid
📊 Plots & Visual Elements
📉 Stochastic %D Lines
Each stochastic is plotted separately:
K9 D3 – Red
K14 D3 – Orange
K40 D4 – Fuchsia
K60 D10 – Silver
These help visualize short to long-term momentum simultaneously.
📏 Horizontal Reference Lines
Overbought Line (80) – Red
Oversold Line (20) – Green
These help you identify threshold breaches visually.
🌈 Background Highlighting
The indicator provides background highlights to mark potential signal zones:
✅ All Oversold or Overbought Conditions
When all four stochastics are either above overbought or below oversold:
Bright Red if all are overbought
Bright Green if all are oversold
🚨 Quad Rotation Signal Zones (if enabled)
Triggered when:
The combined sum of all four stochastic levels is extremely low/high (below/above oversoldQuadLevel or overboughtQuadLevel)
The average slope of the 4 %D lines is sharply positive (> slopeThreshold)
Highlights:
Custom Red Tint = Strong overbought quad signal
Custom Green Tint = Strong oversold quad signal
These zones can indicate momentum shifts or reversal potential when used with price action or other tools.
⚠️ Limitations & Considerations
This indicator does not provide trade signals. It visualizes conditions and potential setups.
It is best used in confluence with price action, support/resistance levels, and other indicators.
False positives may occur in ranging markets. Reduce reliance on slope thresholds during low volatility.
Quad signals rely on slope strength, which may lag slightly behind sudden reversals.
🧠 Tips for Use
Combine with volume, MACD, or PSAR to confirm direction before entry.
Watch for divergences between price and any of the stochastics.
Use on higher timeframes (e.g., 5m–30m) to filter for swing trading setups; use shorter TFs (1m–5m) for scalping signals.
Adjust oversoldQuadLevel and overboughtQuadLevel based on market conditions (e.g., in trending vs ranging markets).
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time.
The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster.
The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean.
This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool.
How to Use It:
Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom.
When Z-Score returns to zero or grey line, it suggests mean reversion is in progress.
You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels.
For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100.
Settings:
Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread.
Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field.
Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread.
Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field.
Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page.
Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation