Cumulative TICK [Pt]Cumulative TICK Indicator, shown as the bottom indicator, is a robust tool designed to provide traders with insights into market trends using TICK data. This indicator visualizes the cumulative TICK trend in the form of colored columns on a separate chart below the main price chart.
Here's an overview of the key features of the Cumulative TICK Indicator:
1. Selectable TICK Source 🔄: The indicator allows users to choose from four different TICK data sources, namely USI:TICK , USI:TICKQ , USI:TICKI , and $USI:TICKA.
2. TICK Data Type Selection 🎚️: Users can select the type of TICK data to be used. The options include: Close, Open, hl2, ohlc4, hlc3.
3. Optional Simple Moving Average (SMA) 📊: The indicator offers an option to apply an SMA to the Cumulative TICK values, with a customizable length.
4. After-hour Background Color 🌙: The background color changes during after-hours to provide a clear distinction between regular and after-hour trading sessions.
🛠️ How it Works:
The Cumulative TICK Indicator uses TICK data accumulated during the regular market hours (9:30-16:00) as per the New York time zone. At the start of a new session or at the end of the regular session, this cumulative TICK value is reset.
The calculated Cumulative TICK is plotted in a column-style graph. If the SMA is applied, the SMA values are used for the column plots instead. The columns are colored green when the Cumulative TICK is positive and red when it is negative. The shades of green and red vary based on whether the Cumulative TICK is increasing or decreasing compared to the previous value.
This is a simple yet powerful tool to track market sentiment throughout the day using TICK data. Please note that this indicator is intended to be used as part of a comprehensive trading strategy. Always ensure you are managing risk appropriately and consulting various data sources to make informed trading decisions.
Cari dalam skrip untuk "sessions"
VWAP Open Session Anchored by HampehThe VWAP Open Session Anchored indicator differs from traditional VWAP indicators by automatically anchoring the Volume Weighted Average Price calculation to three market session starts Morning, Evening, and Night. Each session represents a distinct time period within the trading day, offering traders and investors a more comprehensive view of the volume-weighted average price within specific sessions.
What Is the Volume-Weighted Average Price (VWAP)?
The volume-weighted average price (VWAP) is a technical analysis indicator used on intraday charts that resets at the start of every new trading session.
VWAP is important because it provides traders with pricing insight into both the trend and value of a security.
KEY TAKEAWAYS
1. The volume-weighted average price (VWAP) is a single line on intraday charts.
2. It looks similar to a moving average line but smoother.
3. VWAP represents a view of price action throughout a single day's trading session.
4. Retail and professional traders may use the VWAP to help them determine intraday price trends.
5. VWAP typically is most useful to short-term traders.
VWAP is calculated by totaling the dollars traded for every transaction (price multiplied by the volume) and then dividing by the total shares traded.
VWAP = Cumulative Typical Price x Volume/Cumulative Volume
Where Typical Price = High price + Low price + Closing Price/3
Cumulative = total since the trading session opened.
How Is VWAP Used?
VWAP is used in different ways by traders. Traders may use VWAP as a trend confirmation tool and build trading rules around it. For instance, they may consider stocks with prices below VWAP as undervalued and those with prices above it, as overvalued. If prices below VWAP move above it, traders may go long on the stock. If prices above VWAP move below it, they may sell their positions or initiate short positions.
Institutional buyers including mutual funds use VWAP to help move into or out of stocks with as small of a market impact as possible. Therefore, when they can, institutions will try to buy below the VWAP or sell above it. This way their actions push the price back toward the average, instead of away from it.
Source: www.investopedia.com
ICT MacrosThis script allows traders to visualize the range of time when a macro (an automated series of instructions/trades from large fund traders, executed by an algorithm) will likely occur in the market. It does this by drawing vertical lines and labels on the chart at these specific times:
(Macro Open) - 9:50 AM EST
(Macro Close) - 10:10 AM EST
(Macro Open) - 10:50 AM EST
(Macro Close) - 11:10 AM EST
(Macro Open) - 1:10 PM EST
(Macro Close) - 1:40 PM EST
(Macro Open) - 3:15 PM EST
(Macro Close) - 3:45 PM EST
The theory behind the use of these macros - is that the market will either seek buy side or sell side liquidity, or seek to rebalance price at a point of interest in between the open and close of the macro. Traders who follow this theory can use that information to anticipate how price might behave.
When a macro occurs, the script draws a vertical line on the chart using a dotted line style with a user-defined color. Additionally, a label is placed above the line to indicate whether it is a Macro Open or Macro Close event.
To preserve space, the labels are abbreviated on chart - "Macro Open" (M.O.) and "Macro Close" (M.C.) for both the morning and afternoon trading sessions. The labels may be turned on/off by the user.
The script also includes alerts that can notify traders when a macro occurs. These alerts can be set to go off once per bar close, and the alert message indicates the specific macro type and time.
This script is entirely open-source, meaning that traders can read the code and modify it as needed. Credit to the foundation of this script goes to TradingView user @rickyzcarroll for his open source Strat Assistant Hour Flip script. Important changes include the specific time changes and alert function.
Distribution DaysWhat is Distribution Day?
A distribution day is when a market representative index (for example, Nifty 50) loses more than 0.2 percent in a day, with volume higher than that of the previous session.
When a distribution day occurs, it hints that big institutional investors are exiting or reducing their positions in the market. Institutional activity is what moves any market, especially in India where retail participation is small.
How does it help in sensing market weakness?
When the market is in an uptrend, the intensity of market weakness is determined by the distribution day count. An investor keeps count of all valid distribution days (as per above definition) during an uptrend.
A distribution day count of 2-3 is benign and usually normal in an uptrend. But when the count goes to 5-6, one should prepare to get his/her positions trimmed.
Distribution Day Expiry:
ven though a distribution day hints that institutions may be liquidating their positions, it loses its impact after 25 trading sessions. A distribution day is also removed from the count after the index rallies 5 percent above that day’s close.
Rolling MACDThis indicator displays a Rolling Moving Average Convergence Divergence . Contrary to MACD indicators which use a fix time segment, RMACD calculates using a moving window defined by a time period (not a simple number of bars), so it shows better results.
This indicator is inspired by and use the Close & Inventory Bar Retracement Price Line to create an MACD in different timeframes.
█ CONCEPTS
If you are not already familiar with MACD, so look at Help Center will get you started www.tradingview.com
The typical MACD, short for moving average convergence/divergence, is a trading indicator used in technical analysis of stock prices, created by Gerald Appel in the late 1970s. It is designed to reveal changes in the strength, direction, momentum, and duration of a trend in a stock's price.
The MACD indicator(or "oscillator") is a collection of three time series calculated from historical price data, most often the closing price. These three series are: the MACD series proper, the "signal" or "average" series, and the "divergence" series which is the difference between the two. The MACD series is the difference between a "fast" (short period) exponential moving average (EMA), and a "slow" (longer period) EMA of the price series. The average series is an EMA of the MACD series itself.
Because RMACD uses a moving window, it does not exhibit the jumpiness of MACD plots. You can see the more jagged MACD on the chart above. I think both can be useful to traders; up to you to decide which flavor works for you.
█ HOW TO USE IT
Load the indicator on an active chart (see the Help Center if you don't know how).
Time period
By default, the script uses an auto-stepping mechanism to adjust the time period of its moving window to the chart's timeframe. The following table shows chart timeframes and the corresponding time period used by the script. When the chart's timeframe is less than or equal to the timeframe in the first column, the second column's time period is used to calculate RMACD:
Chart Time
timeframe period
1min 🠆 1H
5min 🠆 4H
1H 🠆 1D
4H 🠆 3D
12H 🠆 1W
1D 🠆 1M
1W 🠆 3M
You can use the script's inputs to specify a fixed time period, which you can express in any combination of days, hours and minutes.
By default, the time period currently used is displayed in the lower-right corner of the chart. The script's inputs allow you to hide the display or change its size and location.
Minimum Window Size
This input field determines the minimum number of values to keep in the moving window, even if these values are outside the prescribed time period. This mitigates situations where a large time gap between two bars would cause the time window to be empty, which can occur in non-24x7 markets where large time gaps may separate contiguous chart bars, namely across holidays or trading sessions. For example, if you were using a 1D time period and there is a two-day gap between two bars, then no chart bars would fit in the moving window after the gap. The default value is 10 bars.
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This indicator should make trading easier and improve analysis. Nothing is worse than indicators that give confusingly different signals.
I hope you enjoy my new ideas
best regards
Chervolino
Seasonality - Session Performance - Morning Afternoon EveningUse this indicator on Intraday Timeframe. Higher the timeframe, more the data
This script calculates the performance of an instrument for different sessions.
Session inputs can be updated to study performance of
- Morning vs Afternoon vs Evening
- Pre-Market vs Market vs Post-Market (provided the data feed supports pre and post market)
- Overnight vs Intraday
Three session inputs are provided to tweak the session range
Performance is calculated as session close / session open - 1
Session timeframes can be set for various countries. Make sure the session timeframe aligns with the Candle open/close for the timeframe you choose. Some examples below
US Markets: 0930-1130 1130-1430 1430-1630 Timeframe 1 hour
India Markets: 0915-1030 1030-1415 1415-15:30 Timeframe 75min
TPO Market Profile [Kioseff Trading]REPOST; SCRIPT WORKS!!
Due to technical error, this script was republished! Thank you for your support (:
Hello!
This indicator comprises a real time TPO Market Profile!
The script works on any timeframe 1 second or greater - the script calculates relative to the timeframe selected for your chart.
The image above shows the 1-minute BTCUSD chart; 650 +/- tick levels are set.
To see the script in full functionality - try using bar replay on a cryptocurrency 1-minute chart (start at the beginning of a regular hours session). Be sure to adjust the tick spread if necessary (:
So far, the script's held up in real time - I've not had any array loop errors or timeouts. The TPO profile updates accordingly with changes in time / high and low prices. Letters are appended to the profile in real time.
The image above shows configurations for the indicator. I plan to update the indicator quite a bit over the coming days - more to come.
You can select the timeframe change the indicator accounts for. For instance, you can have set the indicator to reset every day, every 30 minutes, every 5 minutes, every week, month, etc.
In the image above, I configured the indicator to recalculate every 3 months. Consequently, the indicator will record a TPO profile for three consecutive, reset, then record a TPO profile for the next 3 months. This setting makes the indicator compatible with any timeframe greater than 1 minute.
You can also use a drag & drop time-start bar to modify the starting point for the market profile TPO calculation.
The indicator hosts an option to auto calculate the tick spread between levels. However, as you switch timeframes and assets, sometimes, you'll have to manually set the tick range (:
Thanks for checking it out; more to come!
Sep 4
Release Notes: UPDATE: The indicator can work on seconds-based charts.
The image above shows the indicator working on the 1-second chart.
(Screenshot is old; characters are now numbered instead of strange unicode)
Release Notes: Added value area + vah + val. Font update. Changed characters to numbered once the alphabet is exhausted. POC, VAH, and VAL label located left of the first bar of the interval. Initial balance range can be toggled. Spaced the characters (more legible). Quite a bit of aesthetic changes so check it out!
Soon, I'll release a version of the script that shows VAH, POC, VAL, and TPO letters from previous sessions. I coded this feature into this indicator; however, it was removed due to load time complications. This feature will be its own script (:
If the script has trouble loading please let me know (:
Hotch SessionSimple Session timer with separate session for Asia, Europe, and the Americas plus an extra custom session timer. each can be turned on and off separately.
The indicator also plots the highs and lows of each session.
This code was modified from the Session timer code found in the original "The Arty" by PheonixBinary but expanded to better include all trading sessions.
The code was written in a manner to be as compact as possible. I had looked at many other Session timers and found entire input sections that were longer than the entirety of this indicator.
Please feel free to use this code in any manner you choose permission not required.
SGX Nifty Movement During Indian Market HoursSGX Nifty or Singapore Nifty is a derivative contract of the Nifty 50 index which is the benchmark index of NSE in India. SGX Nifty trades for 21 hours in a day while Nifty 50 trades only for 6 hours and 15 minutes. Traders in India miss out on a lot of price action which happens on the Singapore Nifty. This code which is originally inspired from @Gustavorubi has been modified to track SGX Nifty's movements outside Indian market hours. This will help intraday traders to identify support and resistance levels which are not seen on Nifty 50 futures.
This source code is inspired from GustavoRubi's code on FX Sessions.
Straight Trend V1Hello everyone,
We are proud to present you our "Straight Trend" Strategy.
Strategy is use a specified timeline's opening price as reference and draw a line between the current price and trend line.
Trend line is smoothed with last X times of highest and lowest values ( Donchian Methodology) in order to create less noise and fake alerts , therefore creates a channel of current prices time based opening price.
The timeline can be adjusted according to your specifications in the settings.
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Why opening price ?
We are traders ,no matter what we do ,we always make a benchmark at the end of a day , week or at the end of a specified time line.
Example :
X commodity's price increased %15 in last days or Y commodity's price dropped %30 in last 2 weeks etc. etc.
Thats why the opening price have a hidden and much more important role in our trading sessions.
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After the channel is created we remove the unnecessary lines from our output by filtering the direction with closing price.
IF the closing price is higher than Chanel reference price and direction goes upward the script gives you a BUY signal.
The same methodology is applied for SELL operations.
When to Take Profit?
We put a setting for profit percentage in scripts setting you can adjust the ratio as your choices.
When to Stop Loss or change direction of the trade?
The Straight Trends previously mentioned channel's inverse line was set as STOP LOSS and direction changer in the strategy with "STR-X" Marker.
Note : Strategy is much more effective with heikin-ashi bars due methodology of heikin ashi and with this bars it creates less signals with more accuracy, use at your own discretion.
Please don't hesitate to write us if you need support or assistance, we also appreciate your feedbacks.
Please be advised that this strategy is published with Educational Purposes and it is not a investment advice.
Thank you in advance.
Rolling VWAP█ OVERVIEW
This indicator displays a Rolling Volume-Weighted Average Price. Contrary to VWAP indicators which reset at the beginning of a new time segment, RVWAP calculates using a moving window defined by a time period (not a simple number of bars), so it never resets.
█ CONCEPTS
If you are not already familiar with VWAP, our Help Center will get you started.
The typical VWAP is designed to be used on intraday charts, as it resets at the beginning of the day. Such VWAPs cannot be used on daily, weekly or monthly charts. Instead, this rolling VWAP uses a time period that automatically adjusts to the chart's timeframe. You can thus use RVWAP on any chart that includes volume information in its data feed.
Because RVWAP uses a moving window, it does not exhibit the jumpiness of VWAP plots that reset. You can see the more jagged VWAP on the chart above. We think both can be useful to traders; up to you to decide which flavor works for you.
█ HOW TO USE IT
Load the indicator on an active chart (see the Help Center if you don't know how).
Time period
By default, the script uses an auto-stepping mechanism to adjust the time period of its moving window to the chart's timeframe. The following table shows chart timeframes and the corresponding time period used by the script. When the chart's timeframe is less than or equal to the timeframe in the first column, the second column's time period is used to calculate RVWAP:
Chart Time
timeframe period
1min 🠆 1H
5min 🠆 4H
1H 🠆 1D
4H 🠆 3D
12H 🠆 1W
1D 🠆 1M
1W 🠆 3M
You can use the script's inputs to specify a fixed time period, which you can express in any combination of days, hours and minutes.
By default, the time period currently used is displayed in the lower-right corner of the chart. The script's inputs allow you to hide the display or change its size and location.
Minimum Window Size
This input field determines the minimum number of values to keep in the moving window, even if these values are outside the prescribed time period. This mitigates situations where a large time gap between two bars would cause the time window to be empty, which can occur in non-24x7 markets where large time gaps may separate contiguous chart bars, namely across holidays or trading sessions. For example, if you were using a 1D time period and there is a two-day gap between two bars, then no chart bars would fit in the moving window after the gap. The default value is 10 bars.
█ NOTES
If you are interested in VWAP indicators, you may find the VWAP Auto Anchored built-in indicator worth a try.
For Pine Script™ coders
The heart of this script's calculations uses the `totalForTimeWhen()` function from the ConditionalAverages library published by PineCoders . It works by maintaining an array of values included in a time period, but without a for loop requiring a lookback from the current bar, so it is much more efficient.
We write our Pine Script™ code using the recommendations in the User Manual's Style Guide .
Look first. Then leap.
ConditionalAverages█ OVERVIEW
This library is a Pine Script™ programmer’s tool containing functions that average values selectively.
█ CONCEPTS
Averaging can be useful to smooth out unstable readings in the data set, provide a benchmark to see the underlying trend of the data, or to provide a general expectancy of values in establishing a central tendency. Conventional averaging techniques tend to apply indiscriminately to all values in a fixed window, but it can sometimes be useful to average values only when a specific condition is met. As conditional averaging works on specific elements of a dataset, it can help us derive more context-specific conclusions. This library offers a collection of averaging methods that not only accomplish these tasks, but also exploit the efficiencies of the Pine Script™ runtime by foregoing unnecessary and resource-intensive for loops.
█ NOTES
To Loop or Not to Loop
Though for and while loops are essential programming tools, they are often unnecessary in Pine Script™. This is because the Pine Script™ runtime already runs your scripts in a loop where it executes your code on each bar of the dataset. Pine Script™ programmers who understand how their code executes on charts can use this to their advantage by designing loop-less code that will run orders of magnitude faster than functionally identical code using loops. Most of this library's function illustrate how you can achieve loop-less code to process past values. See the User Manual page on loops for more information. If you are looking for ways to measure execution time for you scripts, have a look at our LibraryStopwatch library .
Our `avgForTimeWhen()` and `totalForTimeWhen()` are exceptions in the library, as they use a while structure. Only a few iterations of the loop are executed on each bar, however, as its only job is to remove the few elements in the array that are outside the moving window defined by a time boundary.
Cumulating and Summing Conditionally
The ta.cum() or math.sum() built-in functions can be used with ternaries that select only certain values. In our `avgWhen(src, cond)` function, for example, we use this technique to cumulate only the occurrences of `src` when `cond` is true:
float cumTotal = ta.cum(cond ? src : 0) We then use:
float cumCount = ta.cum(cond ? 1 : 0) to calculate the number of occurrences where `cond` is true, which corresponds to the quantity of values cumulated in `cumTotal`.
Building Custom Series With Arrays
The advent of arrays in Pine has enabled us to build our custom data series. Many of this library's functions use arrays for this purpose, saving newer values that come in when a condition is met, and discarding the older ones, implementing a queue .
`avgForTimeWhen()` and `totalForTimeWhen()`
These two functions warrant a few explanations. They operate on a number of values included in a moving window defined by a timeframe expressed in milliseconds. We use a 1D timeframe in our example code. The number of bars included in the moving window is unknown to the programmer, who only specifies the period of time defining the moving window. You can thus use `avgForTimeWhen()` to calculate a rolling moving average for the last 24 hours, for example, that will work whether the chart is using a 1min or 1H timeframe. A 24-hour moving window will typically contain many more values on a 1min chart that on a 1H chart, but their calculated average will be very close.
Problems will arise on non-24x7 markets when large time gaps occur between chart bars, as will be the case across holidays or trading sessions. For example, if you were using a 24H timeframe and there is a two-day gap between two bars, then no chart bars would fit in the moving window after the gap. The `minBars` parameter mitigates this by guaranteeing that a minimum number of bars are always included in the calculation, even if including those bars requires reaching outside the prescribed timeframe. We use a minimum value of 10 bars in the example code.
Using var in Constant Declarations
In the past, we have been using var when initializing so-called constants in our scripts, which as per the Style Guide 's recommendations, we identify using UPPER_SNAKE_CASE. It turns out that var variables incur slightly superior maintenance overhead in the Pine Script™ runtime, when compared to variables initialized on each bar. We thus no longer use var to declare our "int/float/bool" constants, but still use it when an initialization on each bar would require too much time, such as when initializing a string or with a heavy function call.
Look first. Then leap.
█ FUNCTIONS
avgWhen(src, cond)
Gathers values of the source when a condition is true and averages them over the total number of occurrences of the condition.
Parameters:
src : (series int/float) The source of the values to be averaged.
cond : (series bool) The condition determining when a value will be included in the set of values to be averaged.
Returns: (float) A cumulative average of values when a condition is met.
avgWhenLast(src, cond, cnt)
Gathers values of the source when a condition is true and averages them over a defined number of occurrences of the condition.
Parameters:
src : (series int/float) The source of the values to be averaged.
cond : (series bool) The condition determining when a value will be included in the set of values to be averaged.
cnt : (simple int) The quantity of last occurrences of the condition for which to average values.
Returns: (float) The average of `src` for the last `x` occurrences where `cond` is true.
avgWhenInLast(src, cond, cnt)
Gathers values of the source when a condition is true and averages them over the total number of occurrences during a defined number of bars back.
Parameters:
src : (series int/float) The source of the values to be averaged.
cond : (series bool) The condition determining when a value will be included in the set of values to be averaged.
cnt : (simple int) The quantity of bars back to evaluate.
Returns: (float) The average of `src` in last `cnt` bars, but only when `cond` is true.
avgSince(src, cond)
Averages values of the source since a condition was true.
Parameters:
src : (series int/float) The source of the values to be averaged.
cond : (series bool) The condition determining when the average is reset.
Returns: (float) The average of `src` since `cond` was true.
avgForTimeWhen(src, ms, cond, minBars)
Averages values of `src` when `cond` is true, over a moving window of length `ms` milliseconds.
Parameters:
src : (series int/float) The source of the values to be averaged.
ms : (simple int) The time duration in milliseconds defining the size of the moving window.
cond : (series bool) The condition determining which values are included. Optional.
minBars : (simple int) The minimum number of values to keep in the moving window. Optional.
Returns: (float) The average of `src` when `cond` is true in the moving window.
totalForTimeWhen(src, ms, cond, minBars)
Sums values of `src` when `cond` is true, over a moving window of length `ms` milliseconds.
Parameters:
src : (series int/float) The source of the values to be summed.
ms : (simple int) The time duration in milliseconds defining the size of the moving window.
cond : (series bool) The condition determining which values are included. Optional.
minBars : (simple int) The minimum number of values to keep in the moving window. Optional.
Returns: (float) The sum of `src` when `cond` is true in the moving window.
Ultimate Time Filter V1The only time filter that you will ever need.
Easily filter for:
--> Start/End Dates
--> Weekdays
--> 1 or 2 Daily Trade Sessions.
This is open source on purpose so you can enjoy ease of use on your own codes. Simply copy the code and use the variable "inTime" to filter bars that fit your time constraints.
I spent a lot more time on this than I'd like to admit but so be it. Any comments for improvements, or questions on how to use the script is appreciated. Or if you wanna chat about trading / pine script hit me up on Discord.
Cheers
Session Volatility CalculatorHey traders!
This script calculates the average volatility of trading sessions.
You specify a start date, an end date, and a session time (eg. market open, Asian session etc)
The script then scans through all the price action on your chart and calculates the average price movement during that specified period.
What Is It For?
I created this script for my own purposes when developing certain strategies and testing certain ideas.
The purpose of this script is to give you an idea of how much price tends to move during certain times of day for certain markets.
You could think of it as a "session's average true range".
In crypto and forex this might be how much price tends to move on certain pairs during the Australian/Asian session, or the European session, or the overnight U.S. session etc.
In stocks this might be how much a symbol tends to move during the first hour of the day or the last hour of the day.
The point of calculating this information is for better understanding how markets move during certain times of day.
It's not a perfect science obviously since some days can be wilder than others depending on what fundamental events are developing, but it's useful information to have for times when there are no expected volatility-inducing events.
This info can help with optimizing targets and stop loss placement for certain day-trading strategies, and just generally getting an idea of what kinds of moves you might reasonably expect out of overnight positions or certain times of day etc - or at least that's what I use it for.
Settings
Hover your mouse over the "i" symbol to get more information on the script's settings, but here's a brief description:
Start Date: The date to begin calculating from (set to 1000 by default so it scans the entire chart).
End Date: The date to stop calculating (set to 2099 by default so it scans the entire chart)
Time Session: This is the time session during the day that you want to analyze.
Color Background: If turned on, this setting changes the background color to highlight the session.
Indicator Values
The indicator outputs a handful of values onto your chart. This is what the colors correspond to:
Top-Right Box: The average price range during the given time of day over historical price action.
Green Number: The recent session's highest price.
Red Number: The recent session's lowest price.
Purple Number: The recent session's price range (high - low).
Orange Number: The recent session's range ÷ the average (outputs a relative % of the average).
[RickAtw] O1 Opening Market LineThis indicator helps to identify current support and resistance based on the opening of the Asian, London and New York sessions.
Function
You can make good trade entries based on these lines. Shows daily and weekly openings of each session
It will also help you to look at which session you are currently trading)
Purple ----> Asian session
Red ----> London session
Blue ----> New York session
Key Signal
buy ---> A strong buy signal is a bounce from the low and the presence of a weekly or day open line.
sell ---> A strong sell signal is a bounce from the maximum and the presence of a weekly or day open line.
P.S. Be sure to test on your pair!
Remarks
This will help you determine the approximate area of support and resistance.
Since we cannot look into the future, it does not inform you about the exact records, but a possible change in trends.
Readme
In real life, I am a professional investor. And I check each of my indicators on my portfolio and how effective it is. I will not post a non-working method. The main thing is to wait for the beginning of trends and make money!
I would be grateful if you subscribe ❤️
A Multi 10 indicatorREAD NOTE BEFORE APPLYING or you may think indicator doesnt work.
This indicator is a revise of another i made and contains 10 Optional Indicators allowing you to load more then 3 indicators at once if you so choose and dont pay for the platform!
Hopefully someone will find use for this script besides me :) I dont suggest turning all on at once because it
will not look right. Alot will overlap if you wish but i only use the Session and trend bar at once in
conjuction with a Oscillator setting like MacD , RSI , Stoch , Aroon or CCI .
In the chart you see i only have a few indicators active ENJOY!!
---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE -------------
(Can turn EVERYTHING on AND change any values in the format tab once indicator loads)
NY session, Aussie session, Asian session, and Europe market sessions.
MacD Split Colored , aroon oscillator
CCI Oscillator , classic aroon
RSI Oscillator , Elliot wave
Stoch RSI Oscillator
Aroon Oscillator
My own Trend bar
---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE -------------
(Can turn EVERYTHING on AND change any values in the format tab once indicator loads) CODE probably looks messey but this is something i made for me so i didnt really care lol
SMA/EMA Trade Signal# SMA/EMA Trade Signal - Detailed Guide
## Indicator Overview
This indicator is a comprehensive trade signal detection system based on moving averages (SMA/EMA). It combines multi-timeframe moving average analysis, RSI filtering, trend strength assessment, and volume analysis to identify highly accurate entry points.
## Key Features
### 1. Multi-Timeframe Moving Average Display
* **Supported Timeframes**: 5m, 15m, 30m, 1H, 4H, Daily
* **MA Types**: SMA (Simple Moving Average) or EMA (Exponential Moving Average)
* **Period Settings**: Short MA (default 20), Long MA (default 200)
* **Visual Display**: Displayed with varying opacity lines per timeframe
### 2. Four Entry Signal Patterns
#### Buy Signals
1. **Breakout above 200MA**: Price breaks above the 200MA during an uptrend
2. **Rebound from 200MA**: Price pulls back to 200MA and rebounds in an uptrend
3. **Break above 20MA (above 200MA)**: 20MA breakout while above the 200MA
4. **Rebound from 20MA (above 200MA)**: Confirmed rebound from 20MA above 200MA (confirmed twice or more)
#### Sell Signals
1. **Breakdown below 200MA**: Price breaks below 200MA during a downtrend
2. **Rejection from 200MA**: Price rises to 200MA and falls back in a downtrend
3. **Break below 20MA (below 200MA)**: 20MA breakout to downside while under the 200MA
4. **Rejection from 20MA (below 200MA)**: Confirmed rejection from 20MA under 200MA (confirmed twice or more)
### 3. Advanced Filtering System
#### RSI Filter
* **Buy Signals**: Triggered when RSI is below 70
* **Sell Signals**: Triggered when RSI is above 30
* **Purpose**: Avoid entries in overheated markets
#### Distance Filter
* **Short MA Distance**: Within 2% of the 20MA
* **Long MA Distance**: Within 5% of the 200MA
* **200MA Proximity Filter**: Avoid entries when 200MA from other timeframes is too close
#### Trend Strength Filter
Trend strength is evaluated using the following 6 elements:
1. **Volume Surge**: 1.5x or more of the average volume
2. **Strong Candlestick**: Body is over 70% of the total range
3. **Consecutive Candles**: Two or more in the same direction
4. **High/Low Breakout**: Breaks 20-period high/low
5. **Engulfing Pattern**
6. **Range Breakout**: Breaks range with volume
### 4. Info Panel Display
Real-time display in the upper right panel:
* **Trend Status**: Uptrend / Downtrend / Range
* **Momentum**: Relationship between EMA15 and MA20
* **MA Bounce Count**: Long/short bounce count
* **MA Distance**: Degree of separation from MAs
* **Trend Strength Score**: Displayed as a score from 1 to 6
* **Distance to 200MA**: Nearest 200MA in pips
* **Filter Status**: Status of each filter (pass/fail)
## Parameter Details
### Display Settings
* **Show Current Timeframe MA**
* **Show \ MA**: Toggle for each timeframe
* **Show Trend Patterns**: Display trend pattern marks
* **Show Volume Surge Background**: Highlight background during volume spikes
### MA Period Settings
* **Short/Long MA Periods**
* **MA Type**: Choose between SMA or EMA
* **Timeframe-Specific Settings**: Set individually per timeframe
### Filter Settings
* **RSI Settings**: RSI period, overbought/oversold levels
* **Distance Filter**: Max allowable MA distance
* **Touch Detection**: Margin for MA touch judgment
* **Trend Strength**: Min score, volume multiplier, etc.
## How to Use
### 1. Basic Setup
1. Apply the indicator to the chart
2. Adjust MA periods according to the currency pair
3. Select desired timeframes
4. Set filter strength based on risk tolerance
### 2. Reading the Signals
#### Regular vs Strong Signals
* **Green Triangle (BUY)**: Regular buy signal
* **Lime Triangle (STRONG BUY)**: Buy signal with strong trend
* **Red Triangle (SELL)**: Regular sell signal
* **Orange Triangle (STRONG SELL)**: Sell signal with strong trend
#### Additional Markings
* **Small Circles**: Engulfing patterns
* **Arrows**: High/low breakouts
* **Yellow Background**: Volume surge
### 3. Entry Strategy
#### Recommended Entry Conditions
1. **Signal Triggered**: BUY or SELL signal appears
2. **Filter Confirmation**: Info panel shows "OK" status
3. **Trend Strength**: Score of 2 or higher (3+ for strong signals)
4. **Multi-Timeframe Alignment**: MAs from multiple timeframes point in same direction
#### Situations to Avoid
* Filter status shows “Distance NG”, “RSI NG”, etc.
* Trend strength score is 1 or lower
* Just before major economic events
* Around market open/close times
### 4. Risk Management
#### Stop Loss Setup
* **Buy**: Below recent low or support
* **Sell**: Above recent high or resistance
* **MA Reference**: Cut loss clearly below 200MA
#### Position Sizing
* Strong signals: Slightly larger positions
* Regular signals: Standard size
* Weak filter status: Smaller positions
## Optimization Tips
### Parameter Tuning
1. **Run Backtests**: Evaluate historical performance
2. **Adapt to Timeframe**: Adjust MA period to match trading timeframe
3. **Pair-Specific Tweaks**: Calibrate filters based on volatility
4. **Adapt to Market Conditions**: Change settings for trend vs range markets
### Combined Usage
* **Other Indicators**: Fibonacci, Support/Resistance
* **Fundamental Analysis**: Economic events, central bank policies
* **Time-of-Day Analysis**: Consider characteristics of Asian, EU, US sessions
## Important Notes
1. **Past results don’t guarantee future performance**: Don't rely solely on backtests
2. **Changing Market Conditions**: Effectiveness varies in trending vs ranging markets
3. **News Impact**: Technical setups can be invalidated by major announcements
4. **Leverage Risk**: Use high leverage cautiously
5. **Regular Review**: Periodically review parameters and performance
Although this indicator is a comprehensive analysis tool, final trading decisions should be made by taking multiple factors into account.
Trading SessionsWhat's New:
Current Session Highlight:
The indicator now displays a visible frame or highlight for the active trading session. This real-time visual cue makes it easier to focus on the current market dynamics and quickly assess intraday price behavior within the ongoing session.
This enhancement is particularly useful for active traders who want to stay oriented during live trading hours, offering improved clarity and faster decision-making.
Daily Range + Trading sessionsIndicator that shows daily ranges on the chart.
Marks every trading session in a day.
Scalping Trend Power for MT5 - Updated### **Scalping Trend Power for MT5 – Full Technical Documentation**
> **Asset class:** FX · CFDs · Futures
> **Style:** Intraday trend-following / scalping
> **Script type:** Pine v5 *strategy* with optional PineConnector execution
> **Author:** AlgoSystems – released for educational & non-commercial use
> **Warning:** No script can guarantee profits; live results may differ from back-tests.
---
## 1. High-Level Idea
Scalping Trend Power couples a **fast/slow EMA crossover** with an **RSI exhaustion filter** to time impulsive pullbacks **inside a dominant short-term trend**.
Unlike classic MA cross systems, it waits for *N consecutive bars* of confirmation, then layers in **ATR-scaled risk, adaptive trailing stops, volume-aware stop tightening,** and *three* optional partial-profit targets.
An **upper-time-frame RSI check** acts as an early-warning exit to avoid overstaying.
---
## 2. Signal Stack in Detail
| Layer | Purpose | Formula / Condition |
| ----------------------- | ------------------ | ----------------------------------------------------------------------------------------- |
| **Trend Bias** | Detect micro-trend | `emaShort > emaLong` ⇒ bullish bias, else bearish |
| **Momentum Health** | Prevent chasing | *Long* trades allowed only if `RSI < RSI_OB`; *Short* only if `RSI > RSI_OS` |
| **Bar Confirmation** | Noise filter | Both rules must hold for `Confirmation Bars` candles in a row |
| **Entry Trigger** | Market order | The candle that completes the confirmation window |
| **Initial Stop** | Volatility sizing | `ATR × TrailingStopMultiplier`, then divided by `(volume / avgVolume × VolumeMultiplier)` |
| **Trailing Logic** | Lock profit | Max( pivot-based stop, ATR-base stop ) for longs; Min(..) for shorts |
| **Higher-TF RSI Guard** | Context exit | Flat if higher-TF RSI breaches OB/OS levels |
| **TP Grid (opt.)** | Incremental exits | TP1/TP2/TP3 at `ATR × {1.0, 1.5, 2.0}` (default multipliers) |
| **Trade Throttle** | Over-trading brake | Max `baseLongTrades – TradeDecreaseFactor` longs per trend leg |
| **Connector Hooks** | MT5 routing | All alerts follow PineConnector’s `risk=` (lots) syntax |
---
## 3. Inputs Explained
| Category | Parameter | Effect |
| -------------------- | -------------------------------------- | ------------------------------------------------------ |
| **Sizing** | `Lot Size` · `Lot Multiplier` | Base lot × multiplier ⇒ *final* `risk=` lots |
| | `Risk/Reward Ratio` | Scales `dynamicTP = ATR × R/R` |
| | `Trailing-Stop Multiplier` | Wider ⇒ looser stop, lower ⇒ tighter |
| **Indicators** | `EMA Short / Long` | 9 & 21 default – suitable for 1-5 min TFs |
| | `RSI Length` | 14 by default |
| | `RSI OB / OS` | OB=70, OS=30 (lower = more entries; higher = stricter) |
| **Exit Context** | `Higher TF` | Any higher timeframe string (e.g. “30”, “60”) |
| | `Higher-TF RSI OB / OS` | Exits when breached |
| **Volume & Pivots** | `Volume Look-Back` | SMA length for avg volume |
| | `Volume Multiplier` | < 1.0 tightens SL in thin liquidity |
| | `Pivot Look-Back` | Bars left/right for swing pivots |
| **Partial Exit** | Toggle + TP multipliers + % lot splits | 0–3 targets; if disabled, single full exit |
| **Execution Limits** | `Confirmation Bars` | 1–n candles |
| | `Trade Decrease Factor` | Reduce # allowable longs as trend matures |
| **Connector** | Activate + License Code | Enables webhook output of orders |
All inputs are **tool-tipped** inside the script for quick reference.
---
## 4. Alert & PineConnector Workflow
1. **Add script to chart** → set inputs.
2. **Create an alert**
* *Condition*: **Any alert() call**
* *Webhook*: `https://webhook.pineconnector.com`
* *Message*: **leave blank** (script fills each alert).
3. In **MT5**, attach PineConnector EA to the **same symbol**; keep *VolumeType = Lots*.
4. Copy-paste your **License ID** into the script and tick **Activate PineConnector**.
5. Script now pushes:
* `buy` / `sell` with `risk=` (entries)
* `closelongvol` / `closeshortvol` with proportional lots (TP1-TP3)
* `closelong` / `closeshort` (full exit or stop)
> **Latency note:** Webhook round-trip ≈ 100-300 ms. Use on liquid 1-M, 5-M, 15-M charts; avoid sub-second scalps.
---
## 5. Best-Practice Checklist
| ✔︎ Do | ✘ Avoid |
| --------------------------------------------------------------------------- | ------------------------------------------------------------- |
| Walk forward-test on *new* data, not in-sample optimisation. | Optimising every input – will over-fit. |
| Calibrate *only* money-management (lot multiplier / TP %) per account size. | Running with fixed lots on variable leverage accounts. |
| Increase ATR multipliers if trading high-spread pairs (exotics, crypto). | Using the same ATR factor across radically different symbols. |
| Re-check higher-TF filter values before volatile sessions (NFP, CPI). | Trading news spikes with confirmation bars = 1. |
| Keep **PineConnector EA** running 24/5 on a VPS (if auto-trading). | Expecting alerts to fire with TradingView tab closed. |
---
## 6. Limitations & Warnings
* Strategy **assumes constant spread** in back-test; real P/L will differ.
* Sub-minute charts may repaint pivots during live candles.
* Over-leveraged lot sizes can wipe accounts quickly – risk strictly!
* PineConnector routing is “fire-and-forget”; EA must handle slippage / rejects.
---
## 7. License & Attribution
Released under the **MIT License** – keep the copyright header if you remix.
If you publish derivatives, please link back to this original post.
---
## 8. Disclaimer
This publication is **NOT** investment advice. Use on demo accounts first, understand all parameters, and comply with your jurisdiction’s regulations. AlgoSystems is **not liable** for any financial loss arising from the use of this code.
---
**Ready to trade?**
Copy the script ⇨ set your risk ⇨ run an alert ⇨ connect PineConnector – and monitor results responsibly. Feedback & pull-requests welcome!
Trendline Breakouts With Volume Strength [TradeDots]Trendline Breakouts With Volume Strength is an innovative indicator designed to identify potential market turning points using pivot-based trendline detection and volume confirmation. By merging dynamic trendline analysis with multi-tiered volume filters, this tool helps traders quickly spot breakouts or breakdowns that may signal significant shifts in price action.
📝 HOW IT WORKS
1. Pivot-Based Trendline Detection
The script automatically scans for recent pivot highs and lows over a user-defined lookback period.
When it finds higher pivot lows, it plots green uptrend lines; when it finds lower pivot highs, it plots red downtrend lines.
These dynamic lines update as new pivots form, providing continuously refreshed trend guidance.
2. Volume Ratio Analysis
A moving average of volume is compared against the current bar’s volume to calculate a ratio (e.g., 1.5×, 2×).
Higher ratios suggest above-average volume, often interpreted as stronger participation.
The script applies color-coded cues to highlight the intensity of volume surges.
3. Breakout & Breakdown Detection
Each trendline is monitored for a defined “break threshold,” which helps avoid minor penetrations that can trigger premature signals.
When price closes beyond a threshold below an uptrend line, the indicator labels it a “BREAKDOWN.” If it closes above a threshold on a downtrend line, it labels it a “BREAKOUT.”
Volume surges accompanying these breaks are highlighted with contextual emojis and distinct color gradients for quick visual reference.
4. Trend Direction Table
A small on-chart table provides a snapshot of the current market trend—Uptrend, Downtrend, or Sideways—based on a simple moving average slope and the number of active uptrend or downtrend lines.
This table also displays quick stats on how many lines are actively tracked, helping traders assess the broader market posture at a glance.
🛠️ HOW TO USE
1. Choose a Timeframe
This script works on multiple timeframes. Intraday traders can monitor minute or hourly charts for frequent pivot updates, while swing and position traders may prefer daily or weekly intervals to reduce noise.
2. Observe Trendlines & Labels
Watch for newly drawn green/red lines connecting pivots.
When you see a “BREAKOUT” or “BREAKDOWN” label, confirm whether volume was abnormally high based on the ratio or color-coded bars.
3. Consult the Trend Table
Use the table in the bottom-right corner to quickly check if the market is trending or range-bound.
Look at the count of active uptrend vs. downtrend lines to gauge broader sentiment.
4. Employ Additional Analysis
Combine these signals with other tools (e.g., candlestick patterns, oscillators, or fundamental analysis).
Validate potential breakouts using standard techniques like retests or support/resistance checks.
❗️LIMITATIONS
Delayed Pivots: Trendlines only adjust once new pivot highs or lows form, which can introduce a slight lag in highly volatile environments.
Choppy Markets: Rapid, back-and-forth price moves may produce conflicting trendline signals and frequent breakouts/breakdowns.
Volume Data Reliability: Gaps in volume data or unusual market conditions (holidays, low-liquidity sessions) can skew ratio readings.
RISK DISCLAIMER
Trading any financial instrument involves substantial risk, and this indicator does not guarantee profits or prevent losses. All signals and visual cues are for educational and informational purposes only; past performance does not assure future outcomes. You retain full responsibility for your trading decisions, including proper risk management, position sizing, and the use of additional confirmation methods. Always consider the possibility of losing some or all of your original investment.
BB Lower + 6TP (Param)Supper simply script / strategy that buys an asset when it crosses down below the lower Bollinger Bands line and sells that asset at 6% tp with a max of two open positions at any given time. Back tested with a max of 105% (about 2 years of 1-hour sessions).
AP Session Liquidity with EQH/EQL and Previous DayThis indicator plots key intraday session highs and lows, along with essential market structure levels, to help traders identify areas of interest, potential liquidity zones, and high-probability trade setups. It includes the Asia Session High and Low (typically 00:00–08:00 UTC), London Session High and Low (08:00–12:00 UTC), New York AM Session High and Low (12:00–15:00 UTC), and New York Lunch High and Low (15:00–17:00 UTC). Additionally, it displays the Previous Day’s High and Low for context on recent price action, as well as automatically detected Equal Highs and Lows based on configurable proximity settings to highlight potential liquidity pools or engineered price levels. These session levels are widely used by institutional traders and are critical for analyzing market behavior during time-based volatility windows. Traders can use this indicator to anticipate breakouts, fakeouts, and reversals around session boundaries—such as liquidity grabs at Asia highs/lows before the London or New York sessions—or to identify key consolidation and expansion zones. Equal Highs and Lows serve as magnets for price, offering insight into potential stop hunts or inducement zones. This tool is ideal for day traders, scalpers, and smart money concept practitioners, and includes full customization for session timings, color schemes, line styles, and alert conditions. Whether you're trading price action, ICT concepts, or supply and demand, this indicator provides a powerful framework for intraday analysis.
