SROC Crypto Index [upslidedown]The idea for this indicator is simple: Without a crypto index we want to somehow understand ROC across many assets. This will average out data across the top 5 (current) cryptos and provide a benchmark index.
I've recently been looking into momentum strategies more and how to utilize ROC as part of crypto trading. This indicator was born to fill a void as there is no great index like SPY for the crypto world.
Why would you do this? This gives a picture of overall market sentiment and allows you to move stock strategies that use an index to do things like tighten SL, take positions, move to cash, etc. into the cryptocurrency market.
The plotted line is super fat so you can plot individual lines and tell the index from the individual ticker apart. My suggestion is to pair this with a ROC or SROC for individual assets and to develop strategies from there.
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Confluence CandlesThis indicator looks for confluence among three indicators (RSI, Stochastic, and MACD), a strategy popularized by Markus Heitkoetter in his book, “The PowerX Strategy: How to Trade Stocks and Options in Only 15 Minutes a Day”, and expands it to look for agreement on up to four symbols.
Each indicator is configurable in the settings, as well as the ability to choose which of the indicators are used.
Default Logic
Green Candles
RSI > 50
Stochastic > 50
MACD Histogram > 0
Red Candles
RSI < 50
Stochastic < 50
MACD Histogram < 0
When multiple symbols are selected, the above needs to be true for all selected symbols.
Example Use Cases
- Setting the indicator to the Nasdaq 100 (QQQ or NQ1!) while trading a stock that is part of that index such as AAPL or TSLA
- Setting the indicator to multiple indexes that tend to move together in order to trade one of them since they tend to make stronger moves when moving together (ex. SPY & QQQ, or ES1! & NQ1!)
- Setting the indicator to Bitcoin while trading a smaller crypto pair that moves as a sympathy play.
Tip
If you have trouble finding the full name for a specific instrument from an exchange such as BTCUSD from Coinbase, you can bring up TradingView’s “Symbol Search” pop-up modal, enter your search term, use the down arrow key on your keyboard to move the focus to the symbol you want, and you will see the full name in the search field such as “COINBASE:BTCUSD”.
Berzerker IndexSome pairs have their own distinct behavior. That includes volatility, news reactiveness, trend x chop day discrepancy, and other qualities.
At first, I tried to measure this with the Choppiness Index, but it looks pretty much alike when you compare symbols like EURNZD and GBPCAD, but my testing shows some major behavioral differences between the two. Hence, I decided to build my own measurement which I later decided to call Berzerker Index.
• The calculation takes the previous value and adds 1, 3, 7, or 15 depending on how many standard deviations the price beats.
• Deviations use Jurik Moving Average as a central line. If there is no new penetration, the total value will not be increased.
• At the end of the value update, the result will decay whether it is changed or not. The readings decay significantly faster if the price is between the bands.
• The beginning of the calculation is the beginning of the chart. There isn't any period for the calculation.
As you can see, from the beginning of the year, the maximum readings on EURNZD are 49.8 and 73.6 for GBPCAD. This is what I wanted to achieve - find some way to clearly differentiate the pairs. Later, I went on EURUSD to confirm the results. EURUSD should be a calmer pair and it shows 33.5 which supports the theory.
The symbols with small bars and explosions on events and bank meetings will reach high values, whereas those that are more predictable with less extreme movements will be found below 45.
Lastly, you may identify long periods of continuous descend on the indicator as setting up for a large explosion. This is not the original idea but could work nevertheless.
Of course, I will further update this indicator if I get improvement ideas...
FAQ:
► Does this repaint?
• No.
► Where is the buy signal?
• There isn't one. The purpose is to study repeated behavioral patterns of different symbols, not to drink from the holy grail.
► Why is it called the 'Berzerker' Index?
• I don't know.
I used @everget's version of Jurik's Moving Average with his consent.
What do ya thing?
Stock-Index-Relative-ReturnsThis is one of the entry conditions of Mark Minervini's trend template for entry conditions.
This indicator plots returns in comparison with index. (Change the index ticker in the input as per the stock in use)
Loopback period is the distance from which we are calculating returns.
Green line indicates returns of the stock
Red line indicates returns of the index
Purple line is the difference between both.
Mark Minervini's trend template expects stock_returns/index_returns to be at least 7 - which means at least 70% higher than index returns.
Guerilla Fear/Greed Index StrategyThis strategy combines NAAIM Exposure Index and the Equity Put/Call Ratio into Fear/Greed Index that oscillates between 0 and 100.
It smooths all of these values and enters a trade when Fear reaches a certain threshold and exits when Greed reaches a certain threshold.
I don't really know if this is a great indicator or not, but the results on various indexes are pretty good, especially NASDAQ:TQQQ .
Was inspired by the knowledge gained following RolandoSantos .
Variable Index Dynamic Average VIDYAChande's Variable Index Dynamic Average (VIDYA) is similar to the Exponential Moving Average (EMA), but automatically adjusts the smoothing weight based on price volatility.
VIDYA was developed by Tushar Chande and presented in Technical Analysis of Stocks & Commodities magazine in March 1992.
In the first version, a standard deviation was used as the Volatility Index
Chande modified VIDYA in October 1995 to use a new Chande Momentum Oscillator (CMO) as the Volatility Index.
So I decided to add an option for the users to change the calculation method.
Default calculation is by using Chande's Momentum Oscillator
Users can change the calculation method to Standart Deviation by unchecking the box on the settings menu.
Another option is to fix the CMO length parameter to 9 to make VIDYA more sensitive to price movements.
CMO parameter is defaultly fixed to 9 but users can change the length of the parameter to the VIDYA length by unchecking the relevant box.
As a moving average, VIDYA smooths the market noises and shows the market trends more clearly.
To achieve the goals, the indicator filters out the market fluctuations (noises) by averaging the price values of the periods, over which it is calculated. In the process, some extra value (weight) is added to the average prices, as it is done during calculations of all weighted indicators, such as EMA, LWMA, and SMMA. But during the VIDIYA indicator's calculation, every period's price receives a weight increment adapted to the current market's volatility.
Note that the value of the smoothing factor (k) is calculated with the help of the period's EMA, and increasing or decreasing of the value is achieved by using CMO Chande Momentum Oscillator as a measure of the market's volatility. As a result, the indicator slows down and does not react to the market's volatility when it increases and, on the contrary, speeds up when a strong steady trend takes place.
Note:
Alarm added for color changes.
Hope you use this one at profitable trades.
Positive Volume Index + Negative Volume IndexThis is my version of plotting the classic Positive Volume Index and Negative Volume Index. They can be wildly different sometimes and not very helpful with entry and exit points but I hope this helps clearly identify buy and sell signals. Buy when the indicator is green and sell when it is red
This was a special request so let me know when you want more scripts from me!
Custom VolumeIdea : Idea of script is getting the volume of index BNF and NIFTY50 ( as Tradingview don't provide the volume information of the indexes )
How it works : Script works on getting the weighted volume of underlying stocks and the plotting them by weight in volume
Benefits:
1. Can server as example how, once can plot the mixed volume of symbols
2. Will help the traders who consider volume also as decision making factor while trading BNF from tradingview chart
3. Can give volume information on any TF **in my knowledge only available for premium users
Important factor to note: Weight of stocks may change time to time depending on Exchange decision.
RedK_Directional Index / K xDMIHere's a modern take on the famous DMI/ADX. i first wrote this on another platform few years ago, so i'm happy to be able to share it on TradingView
quick refresher: what does DMI/ADX tell us:
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in simple terms, at the core of this indicator, there are 3 main calculations / lines: the Plus Directional Index ( +DI ) which represents how much the bulls are able to push the high of a bar compared to previous one, the Minus Directional Index ( -DI ), showing how much the bears are able to push the low of a bar from previous one, then the Average Directional index ( ADX ) line, which creates an oscillator of the +DI and -DI to represent the strength of a trend -- usually the lines will be colored accordingly (bulls = green, bears = red, and any different color for the ADX )
Similar to my version of the RSI , we take a classic concept, then use the computing and visualization "super powers" available to us today, to extend and improve on what those masters created in the past. I guess they sort of expected us to do exactly that :)
this "extended" version of DMI/ADX provides couple of highly needed features (in my opinion) -- let's explore:
trying as much as possible to avoid jargon - pls forgive me if i failed in some places.
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1 - the big change: the ability to visualize the ADX in a way that makes some more sense.
- the original calculation restricted the ADX to oscillate below zero - i'm sure they had a good reason to build it that way in the past - but to me, it becomes super hard to interpret what the ADX line means, especially when a negative trend (the bears) take over. by removing that restriction and allowing the ADX to oscillate up or down (and we're free to do that, so the indicator shows *us* what *we need* to see), we end up with an improved representation of the trend and the trend strength.
- also the original calculation applies a moving average (default 14 bars) of a moving average (another 14 of the Directional Indexes, which represent the strength of bulls vs bears) to calculate the ADX - that makes the ADX very "removed" from the base price values - i change that, and just smooth the initial +Di / -Di then calculate the ADX from there. again, this shows me the outcome of the (relatively) immediate moves.
2 - i use weighted average WMA () in all my averaging calculations .. i believe this type of average is the best to express the importance of recent days / bars vs the ones further in the past, compared to other averaging techniques
3 - ability to make the DMI volume-weighted .. but contrary to my RSI , this is not set by default.
4 - couple of options to view the unrestricted ADX (as an area or as histogram/columns .. which i call Vertical Bars) for improved visualization
other stuff:
5 - a "step" option for the ADX .. you can set the step option to an increment of, say 5 or 10. this is in case you prefer to see the trend more in "quality" terms - so the equivalent of weak, medium, strong, v. strong...etc -- since in reality, a number like 47.7683 doesn't really mean anything specific
6 - optional "strong trend" adjustable level
Settings & usage suggestion:
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i prefer to use the defaults (length = 7, smoothing = 3, ..etc) -- i believe these are more suitable to the much faster trading that we have now. you can review the comparison chart and see if this works for you, and adjust as you need.
from a "signal" standpoint, you can use the xDMI as you use the classic DMI/ADX, bulls (or bears) are in control when the corresponding DI line crosses the other going up, *AND* moving above the "strong trend" level that you can set as an extra filter (usually a value between 20 to 30), while ADX will show the quality/strength of the trend.
i suggest you also utilize this indicator with other trend / momentum confirmation methods, and additional analysis and not in isolation - as well as inspecting the prevailing / longer time frame to ensure you're acting in the direction of the broader move / trend.
the above chart includes a side-by-side comparison between our new xDMI with the classic DMI/ADX using the same settings - then we add at the bottom panel also the xDMI, but with my default (faster) settings and showing other visualization options that can be utilized - the Moving Averages on the top / price panel is just to help put the price movement into perspective in terms of trend and trend strength.
The code is open and commented - please feel free to use, share, comment & provide feedback. if you're a DMI fan, and you find this useful in your trading, i would be more than happy to hear about it
Good luck!
Mean Deviation IndexThe Mean Deviation Index (MDX) is used to see how much price is deviating from the mean. This indicator takes both volatility and mean deviation in consideration.
It uses the standard deviation of the ATR to filter an EMA, and uses this as the mean. It then only plots > or < 0 if price is more than one x ATR away from the mean. If index is positive, the background turns green, meaning price is more than 1 x ATR above the mean. If the index is negative, the background turns red, meaning price is more than 1 x ATR below the mean. This setting can be changed by changing the setting "ATR Multiplier", but the default is 1 x ATR.
There are two main ways to use this index.
1. Use it aggressively to find trends (by combining it with other indicators) by entereding each time the background changes color to green for longs or red for shorts.
2. Use it spot breakouts, waiting for a pullback, and then entering on the next move in the same direction. In this context for a short, you wait for the background color to turn green, then wait for the index to pull back, and then enter once it starts moving up again.
BERLIN Range Index | Panel versionThe original problem: The choppiness index is great at finding ranging markets, but it is sometimes very slow, which means most of the time it only catches the end of a trend.
This indicator tries to solve this. It uses the choppiness index and filters it using a factor that is based on the standard deviation of the ATR.
The ATR based filter is calculated by first calculating the running standard deviation of the ATR, and then looking at that in relation to its recent low to find a filtering factor to use on the choppiness index. This makes the choppiness index more reactive to trends, but also slightly more likely to missidentify ranges.
This is the panel version of the indicator. It plots the index and min/max values, as well as background colors to tell you when it thinks the market is ranging or trending.
Yellow = Trending
Transparent gray = Ranging
BERLIN Range Index | Bar color versionThe original problem: The choppiness index is great at finding ranging markets, but it is sometimes very slow, which means most of the time it only catches the end of a trend.
This indicator tries to solve this. It uses the choppiness index and filters it using a factor that is based on the standard deviation of the ATR.
The ATR based filter is calculated by first calculating the running standard deviation of the ATR, and then looking at that in relation to its recent low to find a filtering factor to use on the choppiness index. This makes the choppiness index more reactive to trends, but also slightly more likely to missidentify ranges.
This is the bar color version of the indicator. It changes the color of the bars when it it thinks the market is ranging and when it thinks it is trending.
Yellow = Trending
Transparent gray = Ranging
DXY COT Commercial Net PositionsThis script was created due to the lack of position of US Dollar Index Futures (DXY).
It is designed to perform a much more liquid and inclusive position analysis.
As the exponential ratios do not mean anything to positions, weights are used as multipliers instead of exponential functions.
Swedish Krona (SEK) Futures are not directly quoted in Quandl, therefore weighted in Euro / dollar parity.
By perceiving these positions as inverse correlations, you can also identify where the world economy is doing well.
COT Commercial Net Positions are calculated as (Short - Long) because of Commercials act according to the reverse of the market.
In this way, you can follow up normally instead of reverse correlation.
Because except in extreme cases, in which case capitals usually shift to Gold.
This is not the case, since there is no capital inflow to other currencies, it is not a strong sell position to the dollar index.
When there is a shift in bonds, we see the effect of the dollar in general.
I created for the Dollar Index in order not to deviate from the concept.
I wanted to share it with everyone as I thought that you have important clues about how investors take positions.
Modified currency weights :
Euro : % 61.8
Japanese Yen : % 13.6
British Pound : %11.9
Canadian Dollar : % 9.1
Swiss Franc : % 3.6
NOTE : You can use it for all instruments except crypto coins, especially US Dollar Index (DXY).
Since the COT data is taken, it will not repaint in 1 week (1W) timeframe.
The log can also be repaint according to the time of data publication.
It will repaint in lower time frames.
I hope it will help your analysis and your scripts,regards.
pooya AVG RSIThis is an RSI range for the most popular index in FOREX:
EUR
USD
GBP
JPY
AUD
CAD
CHF
NZD
comment your opinion
wz_Kripto Index RSI[WOZDUX]Crypto RSI. On the basis of crypto-index is created, the indicator for the study of cryptocurrencies (KRIN). The wt indicator (this is a modified and improved CCI indicator) is superimposed on the crypto index. The indicator (SIN_WT) shows the speed of movement of the crypto index (blue line) and the speed of movement of the local cryptocurrency price (red line), which is loaded into the window. Thus, the local currency in relation to the crypto community is studied.
WZ_Kripto Index WT (KRIN_WT) [WOZDUX]On the basis of crypto-index is created, the indicator for the study of cryptocurrencies (KRIN). The wt indicator (this is a modified and improved CCI indicator) is superimposed on the crypto index. The indicator (KRIN_WT) shows the speed of movement of the crypto index (blue line) and the speed of movement of the local cryptocurrency price (red line), which is loaded into the window. Thus, the local currency in relation to the crypto community is studied.
Relative Volatility IndexCorrected Relative Volatility Index. This indicator was originally developed by Donald Dorsey (Stocks & Commodities V.11:6 (253-256): The Relative Volatility Index).
The indicator was revised by Dorsey in 1995 (Stocks & Commodities V.13:09 (388-391): Refining the Relative Volatility Index).
I suggest the refined RVI with optional settings. If you disabled Wilder's Smoothing and Refined RVI you will get the original version of RVI (1993, as built-in).
Also, you can choose an algorithm for calculating Standard Deviation.
US Index/ EURThis is a EURUSD converted index. It show the value of the index at the EURUSD current ratio. The Histogram is the spread between the index and the index in Euro. So if you use Euro to buy US stock, you can check at the spread and try to enter with high level spread (this is when Euro is strong) and exit when is low (like now). This can add a bit of profit to our trade. The opposite can be used by US investitor that want to buy stocks in EURO.
Market Meanness Index-Price ChangesThis is the Market Mean index. It is used to identify if the market is really trending or if it is range bound(random). In theory, a random sample will be mean reverting 75% of the time. This indicator checks to see what how much the market is mean reverting and converts it to a percentage. If the index is around 75 or higher than the price curve of the market is range bound and there is no trend from a statistical standpoint. If the index is below 75 this means the price curve of the market is in fact trending in a direction as the market is not reverting as much as it should if it were truly following a random/range bound price curve.
Trading Activity Index (Zeiierman)█ Overview
Trading Activity Index (Zeiierman) is a volume-based market activity meter that transforms dollar-volume into a smooth, normalized “activity index.”
It highlights when market participation is unusually low or high with a dynamic color gradient:
Light Blue → Low Activity (thin participation, low liquidity conditions)
Red/Orange → High Activity (active markets, large trades flowing in)
Additional percentile bands (20/40/60/80%) give context, helping you see whether the current activity level is in the bottom quintile, mid-range, or near historical extremes.
█ How It Works
⚪ Dollar Volume Transformation
Each bar, dollar volume is computed:
float dlrVol = close * volume
float dlrVolAvg = ta.sma(dlrVol, len_form)
Dollar volume = price × volume, smoothed by a configurable SMA window.
The result is log-transformed, compressing large outliers for a more stable signal.
⚪ Rolling Percentiles & Ranking
The log-dollar-volume series is compared to its rolling history (len_hist bars):
float p20 = ta.percentile_linear_interpolation(vscale, len_hist, 20)
float p40 = ta.percentile_linear_interpolation(vscale, len_hist, 40)
float p60 = ta.percentile_linear_interpolation(vscale, len_hist, 60)
float p80 = ta.percentile_linear_interpolation(vscale, len_hist, 80)
A normalized rank (0–1) is produced to color the main Trading Activity line.
█ How to Use
⚪ Detect High-Impact Sessions
Quickly see if today’s session is active or quiet relative to its own history — great for filtering setups that need activity.
⚪ Spot Breakouts & Traps
Combine with price action:
High activity near breakouts = strong follow-through likely.
Low activity breakouts = vulnerable to fake-outs.
⚪ Market Regime Context
Percentile bands help you assess whether participation is building up, in the middle of the range, or drying out — valuable for timing mean-reversion trades.
Above 80th percentile (red/orange) → Market is highly active, breakout trades and trend strategies are favored.
Below 20th percentile (light blue) → Market is quiet; fade moves or wait for expansion.
Watch transitions from blue → orange as a signal of growing institutional participation.
█ Settings
Formation Window (bars) – Number of bars used to average dollar volume before log transform.
History Window (bars) – Lookback period for percentile calculations and rank normalization.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
BTC Macro Composite Global liquidity Index -OffsetThis indicator is based on the thesis that Bitcoin price movements are heavily influenced by macro liquidity trends. It calculates a weighted composite index based on the following components:
• Global Liquidity (41%): Sum of central bank balance sheets (Fed , ECB , BoJ , and PBoC ), adjusted to USD.
• Investor Risk Appetite (22%): Derived from the Copper/Gold ratio, inverse VIX (as a risk-on signal), and the spread between High Yield and Investment Grade bonds (HY vs IG OAS).
• Gold Sensitivity (15–20%): Combines the XAUUSD price with BTC/Gold ratio to reflect the historical influence of gold on Bitcoin pricing.
Each component is normalized and then offset forward by 90 days to attempt predictive alignment with Bitcoin’s price.
The goal is to identify macro inflection points with high predictive value for BTC. It is not a trading signal generator but rather a macro trend context indicator.
❗ Important: This script should be used with caution. It does not account for geopolitical shocks, regulatory events, or internal BTC market structure (e.g., miner behavior, on-chain metrics).
💡 How to use:
• Use on the 1D timeframe.
• Look for divergences between BTC price and the macro index.
• Apply in confluence with other technical or fundamental frameworks.
🔍 Originality:
While similar components exist in macro dashboards, this script combines them uniquely using time-forward offsets and custom weighting specifically tailored for BTC behavior.
ZLEMA Trend Index 2.0ZTI — ZLEMA Trend Index 2.0 (0–1000)
Overview
Price Mapped ZTI v2.0 - Enhanced Zero-Lag Trend Index.
This indicator is a significant upgrade to the original ZTI v1.0, featuring enhanced resolution from 0-100 to 0-1000 levels for dramatically improved price action accuracy. The Price Mapped ZTI uses direct price-to-level mapping to eliminate statistical noise and provide true proportional representation of market movements.
Key Innovation: Instead of statistical normalization, this version maps current price position within a user-defined lookback period directly to the ZTI scale, ensuring perfect correlation with actual price movements. I believe this is the best way to capture trends instead of directly on the charts using a plethora of indicators which introduces bad signals resulting in drawdowns. The RSI-like ZTI overbought and oversold lines filter valid trends by slicing through the current trading zone. Unlike RSI that can introduce false signals, the ZTI levels 1 to 1000 is faithfully mapped to the lowest to highest price in the current trading zone (lookback period in days) which can be changed in the settings. The ZTI line will never go off the beyond the ZTI levels in case of extreme trend continuation as the trading zone is constantly updated to reflect only the most recent bars based on lookback days.
Core Features
✅ 10x Higher Resolution - 0-1000 scale provides granular movement detection
✅ Adjustable Trading Zone - Customizable lookback period from 1-50 days
✅ Price-Proportional Mapping - Direct correlation between price position and ZTI level
✅ Zero Statistical Lag - No rolling averages or standard deviation calculations
✅ Multi-Strategy Adaptability - Single parameter adjustment for different trading styles
Trading Zone Optimization
📊 Lookback Period Strategies
Short-term (1-3 days):
Ultra-responsive to recent price action
Perfect for scalping and day trading
Tight range produces more sensitive signals
Medium-term (7-14 days):
Balanced view of recent trading range
Ideal for swing trading
Captures meaningful support/resistance levels
Long-term (21-30 days):
Broader market context
Excellent for position trading
Smooths out short-term market noise
⚡ Market Condition Adaptation
Volatile Markets: Use shorter lookback (3-5 days) for tighter ranges
Trending Markets: Use longer lookback (14-21 days) for broader context
Ranging Markets: Use medium lookback (7-10 days) for clear boundaries
🎯 Timeframe Optimization
1-minute charts: 1-2 day lookback
5-minute charts: 2-5 day lookback
Hourly charts: 7-14 day lookback
Daily charts: 21-50 day lookback
Trading Applications
Scalping Setup (2-day lookback):
Super tight range for quick reversals
ZTI 800+ = immediate short opportunity
ZTI 200- = immediate long opportunity
Swing Trading Setup (10-day lookback):
Meaningful swing levels captured
ZTI extremes = high-probability reversal zones
More stable signals, reduced whipsaws
Advanced Usage
🔧 Real-Time Adaptability
Trending days: Increase to 14+ days for broader perspective
Range-bound days: Decrease to 3 days for tighter signals
High volatility: Shorter lookback for responsiveness
Low volatility: Longer lookback to avoid false signals
💡 Multi-Timeframe Approach
Entry signals: Use 7-day ZTI on main timeframe
Trend confirmation: Use 21-day ZTI on higher timeframe
Exit timing: Use 3-day ZTI for precise exits
🌐 Session Optimization
Asian session: Shorter lookback (3-5 days) for range-bound conditions
London/NY session: Longer lookback (7-14 days) for trending conditions
How It Works
The indicator maps the current price position within the specified lookback period directly to a 0-1000 scale and plots it using ZLEMA (Zero Lag Exponential Moving Average) which has the least lag of the available popular moving averages:
Price at recent high = ZTI at 1000
Price at recent low = ZTI at 1
Price at mid-range = ZTI at 500
This creates perfect proportional representation where every price movement translates directly to corresponding ZTI movement, eliminating the false signals common in traditional oscillators.
This single, versatile indicator adapts to any market condition, timeframe, or trading style through one simple parameter adjustment, making it an essential tool for traders at every level.
Credits
ZLEMA techniques widely attributed to John Ehlers.
Disclaimer
This tool is for educational purposes only and is not financial advice. Backtest and forward‑test before live use, and always manage risk.
Please note that I set this as closed source to prevent source code cloning by others, repackaging and republishing which results in multiple confusing choices of the same indicator.
