Custom Time Frame (CTF)This indicator allows users to create their own arbitrary time frames for chart analysis. It features a moving average, providing an additional layer of analysis, and offers flexibility through various open settings.
In terms of user settings and usage, the indicator provides several options. Users can choose their interval style, opting for either tick-based or time-based intervals. This flexibility allows for a more granular approach to data analysis, catering to different trading strategies and preferences. The number of ticks or the amount of time for each candle can be adjusted, enabling traders to set the granularity of the data to their liking. Color settings are also customizable, with options for setting colors for bullish and bearish indicators, adding a visual dimension to the analysis.
The average line parameters are an important aspect of this indicator. Users can adjust the length, ripple, type, color, and line width of the average line. The ripple setting, in particular, impacts the smoothness of the filter. With type II setting, the smoothing is increased, making it suitable for traders who prefer a more smoothed out moving average. Conversely, the type I setting decreases the smoothing, which might be preferred by those who want a more responsive indicator.
The use of the Chebyshev filter is a significant feature of this indicator. This filter is chosen for its high-performance smoothing capabilities with minimal data requirements. This ensures that the moving average appears quickly and accurately, which is crucial in real-time chart analysis. An important point to note is that when the moving average is enabled, it decreases the maximum number of candles that can be displayed on the chart. However, this is offset by the enhanced analytical precision provided by the moving average.
In summary, this indicator is especially beneficial for traders without access to premium accounts. It offers the capability to create low or custom time frame charts. The flexibility in settings, coupled with the inclusion of a Chebyshev filter for the moving average, makes it a versatile and valuable tool for detailed market analysis. It caters to a wide range of trading styles and strategies, making it a useful addition to any trader's toolkit.
Multitimeframe
Altcoin ManagerThe Altcoin Manager is a comprehensive script for identifying the current altcoin narrative by tracking and analyzing of a wide array of altcoins across various blockchain layers and categories, such as DeFi, GameFi, AI, and Meme coins. Ideal for traders looking to get a broad yet detailed view of the altcoin market, covering various sectors and chains.
The Key Features:
Versatile Asset Tracking:
Tracks 40 different cryptocurrencies (as of publishing) across different categories, allowing for a diversified and detailed analysis of the altcoin market.
Customizable Assets and Category Analysis:
Select 20 of your own coins across 4 different categories such as DeFi, GameFi, AI, and Meme coins as well as specifying their individual chains.
Dynamic Layer and Chain Analysis:
Includes options to plot and analyze specific blockchain layers and chains such as Ethereum Chain, Solana Chain, BNB Smart Chain, Arbitrum Chain, and Polygon Chain. The script associates various assets with specific blockchains, providing a clearer picture of how different segments of the altcoin market are performing.
Cumulative and Per-Candle Change:
Switch between viewing the total cumulative change since a set start date or the per-candle change, offering flexibility in analyzing price movements over different timeframes.
Denomination Adjustment:
Includes a functionality to denominate asset prices in other currencies or crypto such as BTC, allowing for a more tailored financial analysis according to your preference.
Moving Averages for Categories and Chains:
Calculates and plots moving averages for each category and chain, aiding in the identification of trends over the selected moving average length.
How do I use it?
This script is not used with any particular chart. Instead, assign it it's own tab and layout.
For a clearer analysis, use multiple different panels to track Categories and Chains separately, both Cumulative for a longer term analysis and Per-Candle to find ongoing breakouts and changes in trend.
You can either use the pre-selected altcoins to represent the market, or you can select your own.
The Layer 1 and Layer 2 are not customizable but consists of 15 popular Layer 1 incl Bitcoin, Ethereum, Solana etc. Layer 2 consists of 5 popular Layer 2.
Stock WatchOverview
Watch list are very common in trading, but most of them simply provide the means of tracking a list of symbols and their current price. Then, you click through the list and perform some additional analysis individually from a chart setup. What this indicator is designed to do is provide a watch list that employs a high/low price range analysis in a table view across multiple time ranges for a much faster analysis of the symbols you are watching.
Discussion
The concept of this Stock Watch indicator is best understood when you think in terms of a 52 Week Range indication on many financial web sites. Taken a given symbol, what is the high and the low over a 52 week range and then determine where current price is within that range from a percentage perspective between 0% and 100%.
With this concept in mind, let's see how this Stock Watch indicator is meant to benefit.
There are four different H/L ranges relative to the chart's setting and a Scope property. Let's use a three month (3M) chart as our example and set the indicator's Scope = 4. A 3M chart provides three months of data in a single candle, now when we set the Scope = 4 we are stating that 1X is going to look over four candles for the high/low range.
The Scope property is used to determine how many candles it is to scan to determine the high/low range for the corresponding 1X, 3X, 5X and 10X periods. This is how different time ranges are put into perspective. Using a 3M chart with Scope = 4 would represent the following time windows:
- 1X = 3M * 4 is a 12 Months or 1 Year High/Low Range
- 3X = 3M * 4 * 3 is a 36 Months or 3 Years High/Low Range
- 5X = 3M * 4 * 5 is a 60 Months or 5 Years High/Low Range
- 10X = 3M * 4 * 10 is a 120 Months or 10 Years High/Low Range.
With these calculations, the indicator then determines where current price is within each of these High/Low ranges from a percentage perspective between 0% and 100%.
Once the 0% to 100% value is calculated, it then will shade the value according to a color gradient from red to green (or any other two colors you set the indictor to). This color shading really helps to interpret current price quickly.
The greater power to this range and color shading comes when you are able to see where price is according to price history across the multiple time windows. In this example, there is quick analysis across 1 Year, 3 Year, 5 Year and 10 Year windows.
Now let's further improve this quick analysis over 15 different stocks for which the indicator allows you to watch up to at any one time.
For value traders this is huge, because we're always looking for the bargains and we wait for price to be in the value range. Using this indicator helps to instantly see if price has entered a value range before we decide to do further analysis with other charting and fundamental tools.
The Code
The heart of all this is really very simple as you can see in the following code snippet. We're simply looking for the highest high and lowest low across the different scopes and calculating the percentage of the range where current price is for each symbol being watched.
scope = baseScope
watch1X = math.round(((watchClose - ta.lowest(watchLow, scope)) / (ta.highest(watchHigh, scope) - ta.lowest(watchLow, scope))) * 100, 0)
table.cell(tblWatch, columnId, 2, str.format("{0, number, #}%", watch1X), text_size = size.small, text_color = colorText, bgcolor = getBackColor(watch1X))
//3X Lookback
scope := baseScope * 3
watch3X = math.round(((watchClose - ta.lowest(watchLow, scope)) / (ta.highest(watchHigh, scope) - ta.lowest(watchLow, scope))) * 100, 0)
table.cell(tblWatch, columnId, 3, str.format("{0, number, #}%", watch3X), text_size = size.small, text_color = colorText, bgcolor = getBackColor(watch3X))
Conclusion
The example I've laid out here are for large time windows, because I'm a long term investor. However, keep in mind that this can work on any chart setting, you just need to remember that your chart's time period and scope work together to determine what 1X, 3X, 5X and 10X represent.
Let me try and give you one last scenario on this. Consider your chart is set for a 60 minute chart, meaning each candle represents 60 minutes of time and you set the Stock Watch indicator to a scope = 4. These settings would now represent the following and you would be watching up to 15 different stocks across these windows at one time.
1X = 60 minutes * 4 is 240 minutes or 4 hours of time.
3X = 60 minutes * 4 * 3 = 720 minutes or 12 hours of time.
5X = 60 minutes * 4 * 5 = 1200 minutes or 20 hours of time.
10X = 60 minutes * 4 * 10 = 2400 minutes or 40 hours of time.
I hope you find value in my contribution to the cause of trading, and if you have any comments or critiques, I would love to here from you in the comments.
Intraday Volume Profile [BigBeluga]The Intraday Volume Profile aims to show delta volume on lower timeframes to spot trapped shorts at the bottom or trapped longs at the top, with buyers pushing the price up at the bottom and sellers at the top acting as resistance.
🔶 FEATURES
The indicator includes the following features:
LTF Delta precision (timeframe)
Sensibility color - adjust gradient color sensitivity
Source - source of the candle to use as the main delta calculation
Color mode - display delta coloring in different ways
🔶 DELTA EXAMPLE
In the image above, we can see how delta is created.
If delta is positive, we know that buyers have control over sellers, while if delta is negative, we know sellers have control over buyers.
Using this data, we can spot interesting trades and identify trapped individuals within the candle.
🔶 HOW TO USE
In the image above, we can see how shorts are trapped at the bottom of the wick (red + at the bottom), leading to a pump also called a "short squeeze."
Same example as before, but with trapped longs (blue + at the top).
This can also work as basic support and resistance, for example, trapped shorts at the bottom with positive delta at the bottom acting as strong support for price.
Users can have the option to also display delta data within the corresponding levels, showing Buyers vs Sellers for more precise trading ideas.
NOTE:
User can only display the most recent data for the last 8 buyers and sellers.
It is recommended to use a hollow candle while using this script.
Bank Nifty Market Breadth (OsMA)This indicator is the market breadth for Bank Nifty (NSE:BANKNIFTY) index calculated on the histogram values of MACD indicator. Each row in this indicator is a representation of the histogram values of the individual stock that make up Bank Nifty. Components are listed in order of its weightage to Bank nifty index (Highest -> Lowest).
When you see Bank Nifty is on an uptrend on daily timeframe for the past 10 days, you can see what underlying stocks support that uptrend. The brighter the plot colour, the higher the momentum and vice versa. Looking at the individual rows that make up Bank Nifty, you can have an understanding if there is still enough momentum in the underlying stocks to go higher or are there many red plots showing up indicating a possible pullback or trend reversal.
The plot colours are shown as a percentage of the current histogram value taken from MACD from the highest histogram value of the previous 200 bars shown on the current timeframe. Look back value of 200 bars was chosen as it provided a better representation of the current value from its peak over the recent past(previous 200 bars), on all timeframes. Histogram value do grow/fall along with the underlying stock price, so choosing the chart's all-time high/low value as peak was not ideal. Labels on the right show the current histogram value.
Base Code taken from @fengyu05's S&P 500 Market Breadth indicator.
Delta price table, BTC Status (track bitcoin price change)If you are trading alt coins which are affected with Bitcoin price movements then this indicator may be useful. It allows you to trade altcoin and track bitcoin price changes simultaneously.
It shows the price change (delta price) for last 60 seconds, 5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, 1 day.
If you want any updates, just feel free to write me :)
ATH adjusted by Global Money SupplyHi all,
Hereby a script that calculated the ATH that is corrected by the global money supply. It shows that regular ATH (based on high daily candles) as well as the ATH that is adjusted by the global money supply index.
The global money supply index is calculated using the money supply on the first bar and this is then used as the reference point for the money supply in the script. The money supply is based on a lot of central banks money supplies and calculated to a USD value.
Mean Reversion Watchlist [Z score]Hi Traders !
What is the Z score:
The Z score measures a values variability factor from the mean, this value is denoted by z and is interpreted as the number of standard deviations from the mean.
The Z score is often applied to the normal distribution to “standardize” the values; this makes comparison of normally distributed random variables with different units possible.
This popular reversal based indicator makes an assumption that the sample distribution (in this case the sample of price values) is normal, this allows for the interpretation that values with an extremely high or low percentile or “Z” value will likely be reversal zones.
This is because in the population data (the true distribution) which is known, anomaly values are very rare, therefore if price were to take a z score factor of 3 this would mean that price lies 3 standard deviations from the mean in the positive direction and is in the ≈99% percentile of all values. We would take this as a sign of a negative reversal as it is very unlikely to observe a consecutive equal to or more extreme than this percentile or Z value.
The z score normalization equation is given by
In Pine Script the Z score can be computed very easily using the below code.
// Z score custom function
Zscore(source, lookback) =>
sma = ta.sma(source, lookback)
stdev = ta.stdev(source, lookback, true)
zscore = (source - sma) / stdev
zscore
The Indicator:
This indicator plots the Z score for up to 20 different assets ( Note the maximum is 40 however the utility of 40 plots in one indicator is not much, there is a diminishing marginal return of the number of plots ).
Z score threshold levels can also be specified, the interpretation is the same as stated above.
The timeframe can also be fixed, by toggling the “Time frame lock” user input under the “TIME FRAME LOCK” user input group ( Note this indicator does not repain t).
PercenageDropFromATHINFO:
The PercenageDropFromATH script is fairly simple indicator, which is able to:
detect the last ATH (real ATH of the full chart, not related to the selected timeframe) and plot it
user can select a percentage of drop from this price, and once reached can receive a notification
Note that if the ATH is outside of the visibility of the currently selected timeframe the indicator will not be able to show it. Recommended settings is 1D TF!
DETAILS:
The purpose of the script is to serve to ease passive investments in ETFs and indices, once those are dropping below certain point from the ATH.
Individual stocks are not really recommended in my view, as unlike the indices which are cherry picking the best companies from the sector, individual companies can always start drifting away.
Anyway, the indicator should work on all assets, including crypto, gold, etc.
Example usage could be of setting an alert for 25% drop in SPY, and start accumulating positions on every next 10% additional drop, so DCA can be done with favorable prices.
SETTINGS
The settings are pretty straight forward:
ATH Source - source for computing the ATH, default to "high", but user can select to check only on open/close/low as well
Percentage drop target from ATH - self explaining, default to 20
ATH color - only the last ATH until the current bar is been drawn
Plot ATH drop target price - optionally the target price after the percentage drop can be plotted as well
ATH drop target color - the color of the price after the percentage drop from ATH
Trailing Stop-Loss Indicator (FinnoVent)The Dynamic 9 EMA Trailing Stop-Loss Indicator is a specialized tool designed for the TradingView community to enhance risk management in trading. This script dynamically adjusts a trailing stop-loss level based on the position of the price relative to a 9-period Exponential Moving Average (EMA), offering traders a systematic approach to protect potential profits and limit downside risk.
Functionality:
Adaptive Trailing Stop: The indicator calculates a trailing stop-loss that adjusts with the 9 EMA, providing a responsive method to secure gains or prevent extensive losses.
EMA Trend Indicator: The 9-period EMA serves as a momentum indicator, with the script adjusting the trailing stop-loss accordingly — above the EMA for short positions and below for long positions.
Entry Signal Visualization: Entry signals are visualized on the chart, indicating potential long and short positions based on price crossovers with the EMA.
Application:
This indicator is ideal for traders who utilize technical analysis to make informed decisions. By automatically adjusting the stop-loss level to the evolving market conditions, it is particularly useful for:
Day traders looking to capitalize on short-term price movements.
Swing traders aiming to secure positions during more extended market waves.
Any trading strategy that benefits from dynamic stop-loss management.
Usage:
To use the indicator, simply add it to your TradingView chart, and it will automatically plot the trailing stop levels. The green and red lines represent the trailing stops for long and short positions, respectively, providing clear visual cues for potential exit points.
Compliance with TradingView House Rules:
This script is provided for educational purposes and does not constitute investment advice. It is a unique creation that has been developed to contribute to the TradingView community by offering a tool that helps traders manage their trades more effectively.
Custom RSI with RMA SmoothingCustom RSI with RMA Smoothing is smoothing the classic Relative Strength Index to enhance the effectiveness of using the RSI for trend-following through noise reduction.
Principle:
1. RSI is smoothed by the Rolling Moving Average (RMA) and averaged Gains & Losses instead of the classic RSI calculation.
2. A RMA is plotted over the RSI where the crossovers can be entry and exit points.
How is RSI smoothed by the RMA:
1. Outside the common price sources a few new options like hhhlc or hlcc can be chosen where the emphasis is more on the high or the close of the chosen period.
2. Calculation of Price Change: After selecting the price source, the indicator calculates the price change by subtracting the previous period's price from the current price.
3. RMA Smoothing of Price Change: The key step in smoothing the RSI is the application of the Running Moving Average (RMA) to the price change. The length of this RMA is set by the user and determines the extent of smoothing. RMA is a type of moving average that gives more weight to recent data points, making it more responsive to new information while still smoothing out short-term fluctuations.
4. Determining Gains and Losses: The smoothed price change is then used to calculate the gains and losses for each period. Gains are considered when the smoothed price change is positive, and losses when it is negative.
5. Averaging Gains and Losses: These gains and losses are further smoothed by calculating their respective RMAs over the user-defined RSI length. This step is crucial as it dampens the impact of short-term price spikes and drops, giving a more stable and reliable measure of price momentum.
6. RSI Calculation: The standard RSI formula (100 - ) is then applied to these smoothed values. This results in the initial RSI value, which is already more stable than a typical RSI due to the previous smoothing steps.
7. Final RMA Smoothing of RSI: In a final layer of refinement, the RSI itself is smoothed using another RMA, over a length specified by the user. This additional smoothing further reduces the impact of short-term volatility and sharp price movements, providing a more coherent and interpretable RSI line.
DUCANH - KELTNER CHANNELS + EMA STRATEGY This is a strategy/combination of warning indicators using 3EMA and Keltner Channels.
I set up this strategy with the aim of reducing analytical labor in the market. When this strategy warns signals, then buy or sell.
This strategy setup works for timeframes, however it can still work for different timeframes.
It works well with Gold in various timeframes. If you want to apply it to other currency pairs, you must fine-tune the parameters for maximum efficiency.
The strategy details are as follows:
Ingredient:
EMA50 + EMA120 + SMA
Keltner Channels
Long position Alert:
EMA50 is above EMA120
The candlestick touches the lower KC band
Long position alert will trigger when the candlestick reaches the above conditions and the candlestick starts crossing up to the SMA
Short position Alert:
EMA50 is below EMA120
The candlestick touches the upper KC band
A short position alert will trigger when the candlestick reaches the above conditions and starts crossing down to SMA
Recommended RR: 1:3
If you have any questions please let me know !
Opening/Closing Highs and LowsDescription:
This indicator tracks the daily, monthly, and yearly opening, closing, highs, and lows in the stock market. It's designed to display crucial price points within different time frames, aiding traders in assessing significant market movements.
Features:
Daily View: Shows the opening, closing, highest, and lowest prices within each trading day.
Monthly Overview: Highlights the monthly opening, closing, highs, and lows to offer insights into broader market trends.
Yearly Perspective: Presents the annual opening, closing, highs, and lows, aiding in long-term market analysis.
How to Use:
Daily Analysis: Monitor daily fluctuations and spot intraday trends by observing the daily opening/closing ranges.
Monthly Trends: Identify monthly patterns by reviewing the monthly opening/closing levels.
Yearly Insights: Gain a broader perspective on yearly market movements by analyzing the annual highs and lows
ICT IPDAGuided by ICT tutoring, I create this versatile indicator "IPDA".
This indicator shows a different way of viewing the “IPDA” by calculating from START
(-20 / -40 / -60) to (+20 /+40 /+60) Days, showing the Highs and Lows of the IPDA of the Previous days and both of the subsequent ones, the levels of (-20 / -40 / -60) Days can be taken into consideration as objectives to be achieved in the range of days (+20 /+40 /+60)
The user has the possibility to:
- Choose whether to display IPDAs before and after START
- Choose to show High and Low levels
- Choose to show Prices
The indicator should be used as ICT shows in its concepts.
Example on how to evaluate a possible Start IPDA:
Example for Entry targeting IPDAs :
If something is not clear, comment below and I will reply as soon as possible.
Adaptive MFT Extremum Pivots [Elysian_Mind]Adaptive MFT Extremum Pivots
Overview:
The Adaptive MFT Extremum Pivots indicator, developed by Elysian_Mind, is a powerful Pine Script tool that dynamically displays key market levels, including Monthly Highs/Lows, Weekly Extremums, Pivot Points, and dynamic Resistances/Supports. The term "dynamic" emphasizes the adaptive nature of the calculated levels, ensuring they reflect real-time market conditions. I thank Zandalin for the excellent table design.
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Chart Explanation:
The table, a visual output of the script, is conveniently positioned in the bottom right corner of the screen, showcasing the indicator's dynamic results. The configuration block, elucidated in the documentation, empowers users to customize the display position. The default placement is at the bottom right, exemplified in the accompanying chart.
The deliberate design ensures that the table does not obscure the candlesticks, with traders commonly situating it outside the candle area. However, the flexibility exists to overlay the table onto the candles. Thanks to transparent cells, the underlying chart remains visible even with the table displayed atop.
In the initial column of the table, users will find labels for the monthly high and low, accompanied by their respective numerical values. The default precision for these values is set at #.###, yet this can be adjusted within the configuration block to suit markets with varying degrees of volatility.
Mirroring this layout, the last column of the table presents the weekly high and low data. This arrangement is part of the upper half of the table. Transitioning to the lower half, users encounter the resistance levels in the first column and the support levels in the last column.
At the center of the table, prominently displayed, is the monthly pivot point. For a comprehensive understanding of the calculations governing these values, users can refer to the documentation. Importantly, users retain the freedom to modify these mathematical calculations, with the table seamlessly updating to reflect any adjustments made.
Noteworthy is the table's persistence; it continues to display reliably even if users choose to customize the mathematical calculations, providing a consistent and adaptable tool for informed decision-making in trading.
This detailed breakdown offers traders a clear guide to interpreting the information presented by the table, ensuring optimal use and understanding of the Adaptive MFT Extremum Pivots indicator.
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Usage:
Table Layout:
The table is a crucial component of this indicator, providing a structured representation of various market levels. Color-coded cells enhance readability, with blue indicating key levels and a semi-transparent background to maintain chart visibility.
1. Utilizing a Table for Enhanced Visibility:
In presenting this wealth of information, the indicator employs a table format beneath the chart. The use of a table is deliberate and offers several advantages:
2. Structured Organization:
The table organizes the diverse data into a structured format, enhancing clarity and making it easier for traders to locate specific information.
3. Concise Presentation:
A table allows for the concise presentation of multiple data points without cluttering the main chart. Traders can quickly reference key levels without distraction.
4. Dynamic Visibility:
As the market dynamically evolves, the table seamlessly updates in real-time, ensuring that the most relevant information is readily visible without obstructing the candlestick chart.
5. Color Coding for Readability:
Color-coded cells in the table not only add visual appeal but also serve a functional purpose by improving readability. Key levels are easily distinguishable, contributing to efficient analysis.
Data Values:
Numerical values for each level are displayed in their respective cells, with precision defined by the iPrecision configuration parameter.
Configuration:
// User configuration: You can modify this part without code understanding
// Table location configuration
// Position: Table
const string iPosition = position.bottom_right
// Width: Table borders
const int iBorderWidth = 1
// Color configuration
// Color: Borders
const color iBorderColor = color.new(color.white, 75)
// Color: Table background
const color iTableColor = color.new(#2B2A29, 25)
// Color: Title cell background
const color iTitleCellColor = color.new(#171F54, 0)
// Color: Characters
const color iCharColor = color.white
// Color: Data cell background
const color iDataCellColor = color.new(#25456E, 0)
// Precision: Numerical data
const int iPrecision = 3
// End of configuration
The code includes a configuration block where users can customize the following parameters:
Precision of Numerical Table Data (iPrecision):
// Precision: Numerical data
const int iPrecision = 3
This parameter (iPrecision) sets the precision of the numerical values displayed in the table. The default value is 3, displaying numbers in #.### format.
Position of the Table (iPosition):
// Position: Table
const string iPosition = position.bottom_right
This parameter (iPosition) sets the position of the table on the chart. The default is position.bottom_right.
Color preferences
Table borders (iBorderColor):
// Color: Borders
const color iBorderColor = color.new(color.white, 75)
This parameters (iBorderColor) sets the color of the borders everywhere within the window.
Table Background (iTableColor):
// Color: Table background
const color iTableColor = color.new(#2B2A29, 25)
This is the background color of the table. If you've got cells without custom background color, this color will be their background.
Title Cell Background (iTitleCellColor):
// Color: Title cell background
const color iTitleCellColor = color.new(#171F54, 0)
This is the background color the title cells. You can set the background of data cells and text color elsewhere.
Text (iCharColor):
// Color: Characters
const color iCharColor = color.white
This is the color of the text - titles and data - within the table window. If you change any of the background colors, you might want to change this parameter to ensure visibility.
Data Cell Background: (iDataCellColor):
// Color: Data cell background
const color iDataCellColor = color.new(#25456E, 0)
The data cells have a background color to differ from title cells. You can configure this is a different parameter (iDataColor). You might even set the same color for data as for the titles if you will.
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Mathematical Background:
Monthly and Weekly Extremums:
The indicator calculates the High (H) and Low (L) of the previous month and week, ensuring accurate representation of these key levels.
Standard Monthly Pivot Point:
The standard pivot point is determined based on the previous month's data using the formula:
PivotPoint = (PrevMonthHigh + PrevMonthLow + Close ) / 3
Monthly Pivot Points (R1, R2, R3, S1, S2, S3):
Additional pivot points are calculated for Resistances (R) and Supports (S) using the monthly data:
R1 = 2 * PivotPoint - PrevMonthLow
S1 = 2 * PivotPoint - PrevMonthHigh
R2 = PivotPoint + (PrevMonthHigh - PrevMonthLow)
S2 = PivotPoint - (PrevMonthHigh - PrevMonthLow)
R3 = PrevMonthHigh + 2 * (PivotPoint - PrevMonthLow)
S3 = PrevMonthLow - 2 * (PrevMonthHigh - PivotPoint)
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Code Explanation and Interpretation:
The table displayed beneath the chart provides the following information:
Monthly Extremums:
(H) High of the previous month
(L) Low of the previous month
// Function to get the high and low of the previous month
getPrevMonthHighLow() =>
var float prevMonthHigh = na
var float prevMonthLow = na
monthChanged = month(time) != month(time )
if (monthChanged)
prevMonthHigh := high
prevMonthLow := low
Weekly Extremums:
(H) High of the previous week
(L) Low of the previous week
// Function to get the high and low of the previous week
getPrevWeekHighLow() =>
var float prevWeekHigh = na
var float prevWeekLow = na
weekChanged = weekofyear(time) != weekofyear(time )
if (weekChanged)
prevWeekHigh := high
prevWeekLow := low
Monthly Pivots:
Pivot: Standard pivot point based on the previous month's data
// Function to calculate the standard pivot point based on the previous month's data
getStandardPivotPoint() =>
= getPrevMonthHighLow()
pivotPoint = (prevMonthHigh + prevMonthLow + close ) / 3
Resistances:
R3, R2, R1: Monthly resistance levels
// Function to calculate additional pivot points based on the monthly data
getMonthlyPivotPoints() =>
= getPrevMonthHighLow()
pivotPoint = (prevMonthHigh + prevMonthLow + close ) / 3
r1 = (2 * pivotPoint) - prevMonthLow
s1 = (2 * pivotPoint) - prevMonthHigh
r2 = pivotPoint + (prevMonthHigh - prevMonthLow)
s2 = pivotPoint - (prevMonthHigh - prevMonthLow)
r3 = prevMonthHigh + 2 * (pivotPoint - prevMonthLow)
s3 = prevMonthLow - 2 * (prevMonthHigh - pivotPoint)
Initializing and Populating the Table:
The myTable variable initializes the table with a blue background, and subsequent table.cell functions populate the table with headers and data.
// Initialize the table with adjusted bgcolor
var myTable = table.new(position = iPosition, columns = 5, rows = 10, bgcolor = color.new(color.blue, 90), border_width = 1, border_color = color.new(color.blue, 70))
Dynamic Data Population:
Data is dynamically populated in the table using the calculated values for Monthly Extremums, Weekly Extremums, Monthly Pivot Points, Resistances, and Supports.
// Add rows dynamically with data
= getPrevMonthHighLow()
= getPrevWeekHighLow()
= getMonthlyPivotPoints()
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Conclusion:
The Adaptive MFT Extremum Pivots indicator offers traders a detailed and clear representation of critical market levels, empowering them to make informed decisions. However, users should carefully analyze the market and consider their individual risk tolerance before making any trading decisions. The indicator's disclaimer emphasizes that it is not investment advice, and the author and script provider are not responsible for any financial losses incurred.
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Disclaimer:
This indicator is not investment advice. Trading decisions should be made based on a careful analysis of the market and individual risk tolerance. The author and script provider are not responsible for any financial losses incurred.
Kind regards,
Ely
Trend Direction Sequence | Auto-Multi-TimeframeThe main benefit of this indicator is the ability to see multiple higher timeframes at ones to get a better overview of signals that could mark possible trend reversals with more weight than those on the selected timeframe. Since the higher timeframes are calculated automatically, the user needs to set a Period Multiplier that multiplies the selected timeframe several times to determine the higher timeframes. Equal periods are filtered out. And the current highest timeframe is capped at 1 year by TradingView.
It is possible to alter the sequence Count Limit and the underlying Wavelength. The Wavelength defines the distance between the starting and ending candle. This builds the minimum condition to find a trend. A longer Wavelength means that the distortions between the start and end candle can be bigger, so it can become easier to find a trending sequence. But be careful not to set the length too high as this could mean that the resulting sequence does not really represent a trend anymore. The Count Limit defines the completion of a trending sequence. A higher number makes it more difficult to find a completed sequence, but also makes the result more reliable. If the Wavelength is changed, the Count Limit should be adjusted accordingly.
There is also a qualifier for the completion of a sequence. A completed sequence only will be labeled on the chart, if it is proved that the lowest low/highest high of the last two candlesticks of a period is lower/higher than that of the previous two candlesticks. It does not require the trend to be continuous on the last candlestick. On the contrary, a trend shift may already have begun.
By default, the labeling of completed sequences will appear on the highs and lows of the specific periods. Because the higher periods will take time and several candlesticks to appear, the labels will be redrawn accordingly. As an option it is possible to disable the Count Limit for completed sequences so that the labels will be fluently redrawn until the corresponding sequences are interrupted by trend breaks. Only activate this option, if it can serve a plausible strategy.
The count status of all sequences in the specific timeframe periods is listed in a table. Also the results of the trends in higher timeframes are accumulated and combined into an overall trend. Positive trends are counted as positive, negative in the opposite case. To see the resulting Trend Shift Signals, the user can set a filter under 100% so that not all of them will be filtered out and therefore labeled on the chart (this signals cannot be redrawn). An “External Indicator Analysis Overlay” can be used to analyze the profitability with the provided Trend Shift Signal (TSS) which switches from 0 to 1, if the trend becomes positive or from 0 to -1, if the trend becomes negative.
Monday range by MatboomThe "Monday Range" Pine Script indicator calculates and displays the lowest and highest prices during a specified trading session, focusing on Mondays. Users can configure the trading session parameters, such as start and end times and time zone. The indicator visually highlights the session range on the chart by plotting the session low and high prices and applying a background color within the session period. The customizable days of the week checkboxes allow users to choose which days the indicator should consider for analysis.
Session Configuration:
session = input.session("0000-0000", title="Trading Session")
timeZone = input.string("UTC", title="Time Zone")
monSession = input.bool(true, title="Mon ", group="Trading Session", inline="d1")
tueSession = input.bool(true, title="Tue ", group="Trading Session", inline="d1")
Users can configure the trading session start and end times and the time zone.
Checkboxes for Monday (monSession) and Tuesday (tueSession) sessions are provided.
SessionLow and SessionHigh Functions:
SessionLow(sessionTime, sessionTimeZone=syminfo.timezone) => ...
SessionHigh(sessionTime, sessionTimeZone=syminfo.timezone) => ...
Custom functions to calculate the lowest (SessionLow) and highest (SessionHigh) prices during a specified trading session.
InSession Function:
InSession(sessionTimes, sessionTimeZone=syminfo.timezone) => ...
Determines if the current bar is inside the specified trading session.
Days of Week String and Session String:
sessionDays = ""
if monSession
sessionDays += "2"
if tueSession
sessionDays += "3"
tradingSession = session + ":" + sessionDays
Constructs a string representing the selected days of the week for the session.
Fetch Session Low and High:
sessLow = SessionLow(tradingSession, timeZone)
sessHigh = SessionHigh(tradingSession, timeZone)
Calls the custom functions to obtain the session low and high prices.
Plot Session Low and High and Background Color for Session
plot(sessLow, color=color.red, title="Session Low")
plot(sessHigh, color=color.red, title="Session Low")
bgcolor(InSession(tradingSession, timeZone) ? color.new(color.aqua, 90) : na)
Advanced Dynamic Threshold RSI [Elysian_Mind]Advanced Dynamic Threshold RSI Indicator
Overview
The Advanced Dynamic Threshold RSI Indicator is a powerful tool designed for traders seeking a unique approach to RSI-based signals. This indicator combines traditional RSI analysis with dynamic threshold calculation and optional Bollinger Bands to generate weighted buy and sell signals.
Features
Dynamic Thresholds: The indicator calculates dynamic thresholds based on market volatility, providing more adaptive signal generation.
Performance Analysis: Users can evaluate recent price performance to further refine signals. The script calculates the percentage change over a specified lookback period.
Bollinger Bands Integration: Optional integration of Bollinger Bands for additional confirmation and visualization of potential overbought or oversold conditions.
Customizable Settings: Traders can easily customize key parameters, including RSI length, SMA length, lookback bars, threshold multiplier, and Bollinger Bands parameters.
Weighted Signals: The script introduces a unique weighting mechanism for signals, reducing false positives and improving overall reliability.
Underlying Calculations and Methods
1. Dynamic Threshold Calculation:
The heart of the Advanced Dynamic Threshold RSI Indicator lies in its ability to dynamically calculate thresholds based on multiple timeframes. Let's delve into the technical details:
RSI Calculation:
For each specified timeframe (1-hour, 4-hour, 1-day, 1-week), the Relative Strength Index (RSI) is calculated using the standard 14-period formula.
SMA of RSI:
The Simple Moving Average (SMA) is applied to each RSI, resulting in the smoothing of RSI values. This smoothed RSI becomes the basis for dynamic threshold calculations.
Dynamic Adjustment:
The dynamically adjusted threshold for each timeframe is computed by adding a constant value (5 in this case) to the respective SMA of RSI. This dynamic adjustment ensures that the threshold reflects changing market conditions.
2. Weighted Signal System:
To enhance the precision of buy and sell signals, the script introduces a weighted signal system. Here's how it works technically:
Signal Weighting:
The script assigns weights to buy and sell signals based on the crossover and crossunder events between RSI and the dynamically adjusted thresholds. If a crossover event occurs, the weight is set to 2; otherwise, it remains at 1.
Signal Combination:
The weighted buy and sell signals from different timeframes are combined using logical operations. A buy signal is generated if the product of weights from all timeframes is equal to 2, indicating alignment across timeframe.
3. Experimental Enhancements:
The Advanced Dynamic Threshold RSI Indicator incorporates experimental features for educational exploration. While not intended as proven strategies, these features aim to offer users a glimpse into unconventional analysis. Some of these features include Performance Calculation, Volatility Calculation, Dynamic Threshold Calculation Using Volatility, Bollinger Bands Module, Weighted Signal System Incorporating New Features.
3.1 Performance Calculation:
The script calculates the percentage change in the price over a specified lookback period (variable lookbackBars). This provides a measure of recent performance.
pctChange(src, length) =>
change = src - src
pctChange = (change / src ) * 100
recentPerformance1H = pctChange(close, lookbackBars)
recentPerformance4H = pctChange(request.security(syminfo.tickerid, "240", close), lookbackBars)
recentPerformance1D = pctChange(request.security(syminfo.tickerid, "1D", close), lookbackBars)
3.2 Volatility Calculation:
The script computes the standard deviation of the closing price to measure volatility.
volatility1H = ta.stdev(close, 20)
volatility4H = ta.stdev(request.security(syminfo.tickerid, "240", close), 20)
volatility1D = ta.stdev(request.security(syminfo.tickerid, "1D", close), 20)
3.3 Dynamic Threshold Calculation Using Volatility:
The dynamic thresholds for RSI are calculated by adding a multiplier of volatility to 50.
dynamicThreshold1H = 50 + thresholdMultiplier * volatility1H
dynamicThreshold4H = 50 + thresholdMultiplier * volatility4H
dynamicThreshold1D = 50 + thresholdMultiplier * volatility1D
3.4 Bollinger Bands Module:
An additional module for Bollinger Bands is introduced, providing an option to enable or disable it.
// Additional Module: Bollinger Bands
bbLength = input(20, title="Bollinger Bands Length")
bbMultiplier = input(2.0, title="Bollinger Bands Multiplier")
upperBand = ta.sma(close, bbLength) + bbMultiplier * ta.stdev(close, bbLength)
lowerBand = ta.sma(close, bbLength) - bbMultiplier * ta.stdev(close, bbLength)
3.5 Weighted Signal System Incorporating New Features:
Buy and sell signals are generated based on the dynamic threshold, recent performance, and Bollinger Bands.
weightedBuySignal = rsi1H > dynamicThreshold1H and rsi4H > dynamicThreshold4H and rsi1D > dynamicThreshold1D and crossOver1H
weightedSellSignal = rsi1H < dynamicThreshold1H and rsi4H < dynamicThreshold4H and rsi1D < dynamicThreshold1D and crossUnder1H
These features collectively aim to provide users with a more comprehensive view of market dynamics by incorporating recent performance and volatility considerations into the RSI analysis. Users can experiment with these features to explore their impact on signal accuracy and overall indicator performance.
Indicator Placement for Enhanced Visibility
Overview
The design choice to position the "Advanced Dynamic Threshold RSI" indicator both on the main chart and beneath it has been carefully considered to address specific challenges related to visibility and scaling, providing users with an improved analytical experience.
Challenges Faced
1. Differing Scaling of RSI Results:
RSI values for different timeframes (1-hour, 4-hour, and 1-day) often exhibit different scales, especially in markets like gold.
Attempting to display these RSIs on the same chart can lead to visibility issues, as the scaling differences may cause certain RSI lines to appear compressed or nearly invisible.
2. Candlestick Visibility vs. RSI Scaling:
Balancing the visibility of candlestick patterns with that of RSI values posed a unique challenge.
A single pane for both candlesticks and RSIs may compromise the clarity of either, particularly when dealing with assets that exhibit distinct volatility patterns.
Design Solution
Placing the buy/sell signals above/below the candles helps to maintain a clear association between the signals and price movements.
By allocating RSIs beneath the main chart, users can better distinguish and analyze the RSI values without interference from candlestick scaling.
Doubling the scaling of the 1-hour RSI (displayed in blue) addresses visibility concerns and ensures that it remains discernible even when compared to the other two RSIs: 4-hour RSI (orange) and 1-day RSI (green).
Bollinger Bands Module is optional, but is turned on as default. When the module is turned on, the users can see the upper Bollinger Band (green) and lower Bollinger Band (red) on the main chart to gain more insight into price actions of the candles.
User Flexibility
This dual-placement approach offers users the flexibility to choose their preferred visualization:
The main chart provides a comprehensive view of buy/sell signals in relation to candlestick patterns.
The area beneath the chart accommodates a detailed examination of RSI values, each in its own timeframe, without compromising visibility.
The chosen design optimizes visibility and usability, addressing the unique challenges posed by differing RSI scales and ensuring users can make informed decisions based on both price action and RSI dynamics.
Usage
Installation
To ensure you receive updates and enhancements seamlessly, follow these steps:
Open the TradingView platform.
Navigate to the "Indicators" tab in the top menu.
Click on "Community Scripts" and search for "Advanced Dynamic Threshold RSI Indicator."
Select the indicator from the search results and click on it to add to your chart.
This ensures that any future updates to the indicator can be easily applied, keeping you up-to-date with the latest features and improvements.
Review Code
Open TradingView and navigate to the Pine Editor.
Copy the provided script.
Paste the script into the Pine Editor.
Click "Add to Chart."
Configuration
The indicator offers several customizable settings:
RSI Length: Defines the length of the RSI calculation.
SMA Length: Sets the length of the SMA applied to the RSI.
Lookback Bars: Determines the number of bars used for recent performance analysis.
Threshold Multiplier: Adjusts the multiplier for dynamic threshold calculation.
Enable Bollinger Bands: Allows users to enable or disable Bollinger Bands integration.
Interpreting Signals
Buy Signal: Generated when RSI values are above dynamic thresholds and a crossover occurs.
Sell Signal: Generated when RSI values are below dynamic thresholds and a crossunder occurs.
Additional Information
The indicator plots scaled RSI lines for 1-hour, 4-hour, and 1-day timeframes.
Users can experiment with additional modules, such as machine-learning simulation, dynamic real-life improvements, or experimental signal filtering, depending on personal preferences.
Conclusion
The Advanced Dynamic Threshold RSI Indicator provides traders with a sophisticated tool for RSI-based analysis, offering a unique combination of dynamic thresholds, performance analysis, and optional Bollinger Bands integration. Traders can customize settings and experiment with additional modules to tailor the indicator to their trading strategy.
Disclaimer: Use of the Advanced Dynamic Threshold RSI Indicator
The Advanced Dynamic Threshold RSI Indicator is provided for educational and experimental purposes only. The indicator is not intended to be used as financial or investment advice. Trading and investing in financial markets involve risk, and past performance is not indicative of future results.
The creator of this indicator is not a financial advisor, and the use of this indicator does not guarantee profitability or specific trading outcomes. Users are encouraged to conduct their own research and analysis and, if necessary, consult with a qualified financial professional before making any investment decisions.
It is important to recognize that all trading involves risk, and users should only trade with capital that they can afford to lose. The Advanced Dynamic Threshold RSI Indicator is an experimental tool that may not be suitable for all individuals, and its effectiveness may vary under different market conditions.
By using this indicator, you acknowledge that you are doing so at your own risk and discretion. The creator of this indicator shall not be held responsible for any financial losses or damages incurred as a result of using the indicator.
Kind regards,
Ely
dashboard MTF,EMA User Guide: Dashboard MTF EMA
Script Installation:
Copy the script code.
Go to the script window (Pine Editor) on TradingView.
Paste the code into the script window.
Save the script.
Adding the Script to the Chart:
Return to your chart on TradingView.
Look for the script in the list of available scripts.
Add the script to the chart.
Interpreting the Table:
On the right side of the chart, you will see a table labeled "EMA" with arrows.
The rows correspond to different timeframes: 5 minutes (5M), 15 minutes (15M), 1 hour (1H), 4 hours (4H), and 1 day (1D).
Understanding the Arrows:
Each row of the table has two columns: "EMA" and an arrow.
"EMA" indicates the trend of the Exponential Moving Average (EMA) for the specified period.
The arrow indicates the direction of the trend: ▲ for bullish, ▼ for bearish.
Table Colors:
The colors of the table reflect the current trend based on the comparison between fast and slow EMAs.
Blue (▲) indicates a bullish trend.
Red (▼) indicates a bearish trend.
Table Theme:
The table has a dark (Dark) or light (Light) theme according to your preference.
The background, frame, and colors are adjusted based on the selected theme.
Usage:
Use the table as a quick indicator of trends on different timeframes.
The arrows help you quickly identify trends without navigating between different time units.
Designed to simplify analysis and avoid cluttering the chart with multiple indicators.
Price-Action Candles (Lower)What is a swing high or swing low?
Swing highs and lows are price extremes. For example say we set our swing length to 5. A candle that is a swing high with a swing length of 5 will have 5 bars to the left that are lower and 5 bars to the right that are lower. A candle that is a swing low with a swing length of 5 will have 5 bars to the left that are higher and 5 bars to the right that are higher.
How is the trend coloring calculated?
The trend coloring is calculated the exact same way as our trend candles study... by storing and comparing historical swing lows and swing highs.
The pinescript code goes as follows:
The pinescript code goes as follows:
var int trend = na
trend := ((hh and high >= psh) or close > csh) ? 1 : ((ll and low <= psl) or close < csl) ? -1 : lh or hl ? 0 : trend
What does that gibberish mean?
-Trend can be GREEN IF
- We have a higher high (current swing high is greater than the previous swing high) and the high is greater than the previous swing high
- OR The current close is greater than the current swing high
-Trend can be RED IF
- We have a lower low (current swing low is less than the previous swing low) and the low is less than the previous swing low
- OR The current close is less than the current swing low
-Trend can be YELLOW IF
- We have a new swing high and the new swing high is less than the previous swing high
- OR We have a new swing low and the new swing low is greater than the previous swing low
If none of the conditions above are true then we continue with whatever color the previous bar was.
What is repainting?
Repainting is "script behavior causing historical vs realtime calculations or plots to behave differently." That definition comes directly from Tradingview. If you want to read the full explanation you can visit it here www.tradingview.com . The price-action candles use swing highs and swing lows which need bars to the left (past) and bars to the right ("future") in order to confirm the swing level. Because of the need to wait for confirmation for swing levels the plot style can be repainting. The Price-Action Candles (Lower) indicator, or this indicator, has no repainting anywhere. We opt to not shift back the candle coloring which causes the repainting, but it is relevant to discuss since this indicator's sibling (Price-Action Candles) can have repainting labels.
Repaint
Here the labels are shifted back the price-action length. Repainting is not present in the Price-Candles (Lower) study, but can be found in this indicator's sibling (Price-Action Candles).
Non-Repaint
Here the labels are not shifted back or "repainted". Repainting is not present in the Price-Candles (Lower) study, but can be found in this indicator's sibling (Price-Action Candles).
Multi-timeframe Analysis
The users can view multi-timeframe historical price action trend via this lower study. Each timeframe is plotted as its own on the lower pane and you can determine what timeframe it is by the label next to the plot.
More examples
Pair the Price-Action Candles (Lower) indicator with our main price indicator that colors candles based on trend and can show price action labels.
Unbound RSIUnbound RSI
Description
The Unbound RSI or de-oscillated RSI indicator is a novel technical analysis indicator that combines the concepts of the Relative Strength Index (RSI) and moving averages, applied directly over the price chart. This indicator is unique in its approach by transforming the oscillatory nature of the RSI into a format that aligns with the price action, thereby offering a distinctive view of market momentum and trends.
Key Features
Multi-Length RSI Analysis: Incorporates three different lengths of RSI (short, medium, and long), providing insights into the momentum and trend strength at various timeframes.
Deoscillation of RSI: The RSI for each length is 'deoscillated' by adjusting its scale to align with the actual price movements. This is achieved by shifting and scaling the RSI values, effectively merging them with the price line.
Average True Range (ATR) Scaling: The deoscillation process includes scaling by the Average True Range (ATR), making the indicator responsive to the asset’s volatility.
Optional Smoothing: Provides an option to apply a simple moving average (SMA) smoothing to each deoscillated RSI line, reducing noise and highlighting more significant trends.
Dynamic Moving Average (MA) Baseline: Features a moving average calculated from the medium length (default value) de-oscillated RSI, serving as a dynamic baseline to identify overarching trends.
How It’s Different
Unlike standard RSI indicators that oscillate in a fixed range, this indicator transforms the RSI to move in tandem with the price, offering a unique perspective on momentum and trend changes. The use of multiple timeframes for RSI and the inclusion of a dynamic MA baseline provide a multifaceted view of market conditions.
Potential Usage
Trend Identification: The position of the price in relation to the different deoscillated RSI lines and the MA baseline can indicate the prevailing market trend.
Momentum Shifts: Crossovers of the price with the deoscillated RSI lines or the MA baseline can signal potential shifts in momentum, offering entry or exit points.
Volatility Awareness: The ATR-based scaling of the deoscillated RSI lines means the indicator adjusts to changes in volatility, potentially offering more reliable signals in different market conditions.
Comparative Analysis: By comparing the short, medium, and long deoscillated RSI lines, traders can gauge the strength of trends and the convergence or divergence of momentum across timeframes.
Best Practices
Backtesting: Given its novel nature, it’s crucial to backtest the indicator across different assets and market conditions.
Complementary Tools: Combine with other technical analysis tools (like support/resistance levels, other oscillators, volume analysis) for more robust trading signals.
Risk Management: Always use sound risk management strategies, as no single indicator provides foolproof signals.
One Setup for Life ICTGuided by ICT tutoring, I create this versatile 'One Trading Set Up For Life' indicator
This indicator shows a different way of viewing the "Highs and Lows" of Previous Sessions, drawing from the current day until 09:30 AM, the time at which the Highs and Lows of the previous day's sessions can be taken into consideration for a Reversal or for a Take profit.
Levels tested after 9.30am will be blocked so you have a good and clear view of the levels affected
Timing Session =
London: 02:00 to 05:00
New York: 9.30am to 12.30pm
Lunch: 12.30pm to 1pm
PM Session: 1.30pm to 4pm
The user has the possibility to:
- Choose to view sessions or not
- Choose to show levels from previous sessions
- Choose to show today's session levels
- Choose between 08:30 and 09:30 the starting time for the Liquidity taken
- Choose to view High and Low only from the previous day
- See both the name of the Sessions and the price of the levels
The indicator must be used as ICT shows in its concepts, the indicator takes into consideration both previous sessions and today's sessions, and the session levels can be used both for a reversal and for a possible Take Profit like the example here under
Reversal =
Possible Take Profit =
If something is not clear, comment below and I will reply as soon as possible.
Multi-Timeframe EMA Tracker by Ox_kaliThis script is an advanced trend analysis indicator crafted for traders who seek a detailed and customizable view of market trends across multiple timeframes. This tool utilizes exponential moving averages (EMAs) to offer insights into market direction and momentum.
Key Features:
Multi-Timeframe Analysis: MTEMA-Tracker covers a wide range of timeframes, including 1, 2, 3, 5, 10, 15, 30 minutes; 1, 2, 4, 6, 12 hours; 1 day; and 1 week. This allows traders to analyze market trends from various perspectives, from short-term fluctuations to longer-term movements.
EMA-Based Trend Determination: The indicator employs two EMAs (50 and 200 periods) for each timeframe to ascertain the market trend. A higher EMA50 compared to EMA200 indicates an uptrend, while the opposite scenario suggests a downtrend.
User-Defined Trend Colors: Traders can personalize the appearance of the trend lines with custom colors for upward and downward trends, enhancing visual clarity and quick interpretation.
Selectable Timeframe Display: MTEMA-Tracker by Ox_kali offers the flexibility to choose which timeframes to display, enabling traders to focus on the most relevant data for their trading strategy.
Average Trend Calculation: A unique feature of MTEMA-Tracker is its ability to compute the average trend across all selected timeframes, providing a holistic view of the market's general direction.
List of Parameters:
Color of the trend: Customizable color settings for both upward and downward trends.
Settings for the Lengths of the EMAs: Options to set the lengths of the short and long-term EMAs.
Display Options for Each Timeframe's EMA Trend: Ability to activate or deactivate the display of EMAs for each selected timeframe.
Indicators and Financial Name Label settings: To ensure maximum clarity and understanding of the displayed trends, users should not hesitate to use the function to display "indicators and financial name labels" in their settings. This feature will help in identifying the legends for each trend, making it easier to interpret the market direction for the selected timeframes.
Please note that the MTEMA-Tracker is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
