Adaptive Fisherized KSTIntroduction
Heyo guys, here is a new adaptive fisherized indicator of me.
I applied Inverse Fisher Transform, Ehlers dominant cycle analysis,
smoothing and divergence analysis on the Know Sure Thing (KST) indicator.
Moreover, the indicator doesn't repaint.
Usage
I didn't backtest the indicator, but I recommend the 5–15 min timeframe.
It can be also used on other timeframs, but I have no experience with that.
The indicator has no special filter system, so you need to find an own combo in order to build a trading system.
A trend filter like KAMA or my Adaptive Fisherized Trend Intensity Index could fit well.
If you find a good combo, let me know it in the comments pls.
Signals
Zero Line
KST crossover 0 => Enter Long
KST crossunder 0 => Enter Short
Cross
KST crossover KST MA => Enter Long
KST crossunder KST MA => Enter Short
Cross Filtered
KST crossover KST MA and KST above 0 => Enter Long
KST crossunder KST MA and KST under 0 => Enter Short
KST crossunder 0 => Exit Long
KST crossover 0 => Exit Short
More to read: KST Explanation
Enjoy and let me know your opinion!
--
Credits to
- @tista
- @blackcat1402
- @DasanC
- @cheatcountry
"N+credit最新动态" için komut dosyalarını ara
Bitcoin Miner Extreme SellingThis script is for identifying extreme selling. Judging by the chart, Bitcoin miners often (not always) sell hard for two reasons: to take profit into parabolic price rises, or to stay solvent when the price is very low.
Extreme selling thus often coincides with long-term tops and bottoms in Bitcoin price. This can be a useful EXTRA data point when trying to time long-term Bitcoin spot or crypto equity investment (NOT advice, you remain responsible, etc). The difference between selling measured in BTC and in USD gives a reasonable idea of whether miners are selling to make a profit or to stay solvent.
CREDITS
The idea for using the ratio of miner outflows to reserves comes from the "Bitcoin Miner Sell Pressure" script by the pioneering capriole_charles.
The two request.security calls are identical. Another similarity is that you have to sum the outflows to make it make sense. But it doesn't make much difference, it turns out from testing, to use an average of the reserves, so I didn't. All other code is different.
The script from capriole_charles uses Bollinger bands to highlight periods when sell pressure is high, uses a rolling 30-day sum, and only uses the BTC metrics.
My script uses a configurable 2-6 week rolling sum (there's nothing magical about one month), uses different calculations, and uses BTC, USD, and composite metrics.
INPUTS
Rolling Time Basis : Determines how much data is rolled up. At the lowest level, daily data is too volatile. If you choose, e.g., 1 week, then the indicator displays the relative selling on a weekly basis. Longer time periods, obviously, are smoother but delayed, while shorter time periods are more reactive. There is no "real" time period, only an explicit interpretation.
Show Data > Outflows : Displays the relative selling data, along with a long-term moving average. You might use this option if you want to compare the "real" heights of peaks across history.
Show Data > Delta (the default): Only the difference between the relative selling and the long-term moving average is displayed, along with an average of *that*. This is more signal and less noise.
Base Currency : Configure whether the calculations use BTC or USD as the metric. This setting doesn't use the BTC price at all; it switches the data requested from INTOTHEBLOCK.
If you choose Composite (the default), the script combines BTC and USD together in a relative way (you can't simply add them, as USD is a much bigger absolute value).
In Composite mode, the peaks are coloured red if BTC selling is higher than USD, which usually indicates forced selling, and green if USD is higher, which usually indicates profit-taking. This categorisation is not perfectly accurate but it is interesting insomuch as it is derived from block data and not Bitcoin price.
In BTC or USD mode, a gradient is used to give a rough visual idea of how far from the average the current value is, and to make it look pretty.
USAGE NOTES
Because of the long-term moving averages, the length of the chart does make a difference. I recommend running the script on the longest Bitcoin chart, ticker BLX.
To use it to compare selling with pivots in crypto equities, use a split chart: one BLX with the indicator applied, and one with the equity of your choice. Sync Interval, Crosshair, Time, and Date Range, but not Symbol.
Adaptive Fisherized Trend Intensity Index Introduction
Here, I modified the script "Trend Intensity Index" (TII) of @everyget.
TTI was developed by M.H. Pee, who also published other trend analysis indicators like the Trend Trigger/Continuation Factor
It helps to determine how strong the current trend is.
The stronger the trend, the higher the chance the price may continue moving in the current direction.
Features
Adaptive mode (based on Ehlers dominant cycle determination) => automatically determines the length
Inverse Fisher Transform => gives sharper signals
Customizable MA Types => discover the impact of different ma bases
Hann Window and NET smoothing => state-of-the-art smoothing
Trend Visualization => shows you the up/down/side trend
Usage
This indicator here offers a perfect trend filtering system. It is capable of up/down/side trend detection.
There are a lot of trend indicators which don't respect sidetrends, which makes this indicator pretty useful.
A lot of traders use trend-following trading systems.
A trader will usually make his/her entry in the market during a strong trend and ride it, until the TII provides an indication of a reversal.
For mean-revertive trading systems, you could use TII to just trade in side trend.
A lot of mean-revertive signal emitters like Bollinger Bands or RSI work most of the times better in side trend.
Furthermore, every timeframe could be used, but higher timeframes have more impact because trends are stronger there.
Signals
Green zone (Top) => Etablished bullish trend
"Peachy" Zone (Middle) => Sidetrend/flat market
Red Zone (Bottom) => Etablished bearish trend
Enjoy guys!
(Let me know your opinions!)
--
Credits to:
@blackcat1402
@DasanC
@cheatcountry
@everget
Adaptive VWAP Stdev BandsIntroduction
Heyo, here are some adaptive VWAP Standard Deviation Bands with nice colors.
I used Ehlers dominant cycle theories and ZLSMA smoothing to create this indicator.
You can choose between different algorithms to determine the dominant cycle and this will be used as reset period.
Everytime bar_index can be divided through the dominant cycle length and the result is zero VWAP resets if have chosen an adaptive mode in the settings.
The other reset event you can use is just a simple time-based event, e.g. reset every day.
Usage
I think people buy/sell when it reaches extreme zones.
Enjoy!
---
Credits to:
@SandroTurriate - VWAP Stdev Bands
@blackcat1402 - Dominant Cycle Analysis
@DasanC - Dominant Cycle Analysis
@veryfid - ZLSMA
(Sry, too lazy for linking)
I took parts of their code. Ty guys for your work! Just awesome.
Zig Zag Ratio Simplified█ OVERVIEW
This indicator was to show ratio between zig zag. Ideally to find Fibonacci Retracement / Projection, Harmonic Patterns, ABCD, Elliot Wave and etc.
█ CREDITS
LonesomeTheBlue
█ FEATURES
Table can positioned by any position and font size can be resized.
█ USAGE / TIPS EXAMPLES (Description explained in each image)
Volatility Stop with Vwap StrategyFirst the credits goes to @TradingView for their release of the volatility stop mtf indicator.
I have took it, and inside I have added a weekly vwap for a better trend direction and at the same time I have added a dynamic risk managment which is calculated from the distance between the volatility line to the close of the candle.
The rules for entry are simple:
For long:We enter when our close of the candle is above the volatility stop line and at the same time the close of the candle is above weekly vwap
For short we enter when our close of the candle is below the volatility stop line and at the same time the close of the candle is below weekly vwap.
We exit when we either have a reverse signal than the one we enterred, or based on the TP/SL which is calculated with the distance from vwap to the close of the candle.
If you have any questions please let me know !
USD Liquidity Conditions Index Swing Stock Strategy Original credits goes to @ElDoggo22 www.tradingview.com
I looked in the post created by him, of USD liquidity and I have noticed that if you are going to apply a percentile top and bottom to it, can become an interesting swing strategy for US Stocks.
So in this case I decided to create a 99th percentile for top and 4th percentile for bot with a big length, preferably 100+ candles, for this example i took 150.
Rules for entry :
Long : either bot or top lines are ascending
We exit long either the top line is descending, or we have sudden cross of the moving average with both top and bot within the same candle
Short: we enter short when we have a sudden cross down of the moving average with both top and bot within the same candle
We exit short when we have a cross over of the moving average with both top and bot within the same candle ( or we have a long entry condition)
If there are qny questions, please let me know !
Coral Trend Pullback Strategy (TradeIQ)Description:
Strategy is taken from the TradeIQ YouTube video called "I Finally Found 80% Win Rate Trading Strategy For Crypto".
Check out the full video for further details/clarification on strategy entry/exit conditions.
The default settings are exactly as TradeIQ described in his video.
However I found some better results by some tweaking settings, increasing R:R ratio and by turning off confirmation indicators.
This would suggest that perhaps the current confirmation indicators are not the best options. I'm happy to try add some other optional confirmation indicators if they look to be more effective.
Recommended timeframe: 1H
Strategy incorporates the following features:
Risk management:
Configurable X% loss per stop loss
Configurable R:R ratio
Trade entry:
Based on strategy conditions below
Trade exit:
Based on strategy conditions below
Backtesting:
Configurable backtesting range by date
Trade drawings:
Each entry condition indicator can be turned on and off
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Alerting:
Alerts on LONG and SHORT trade entries
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: Coral Trend is bullish
C2: At least 1 candle where low is above Coral Trend since last cross above Coral Trend
C3: Pullback happens and price closes below Coral Trend
C4: Coral Trend colour remains bullish for duration of pullback
C5: After valid pullback, price then closes above Coral Trend
C6: Optional confirmation indicators (choose either C6.1 or C6.2 or NONE):
C6.1: ADX and DI (Single indicator)
C6.1.1: Green line is above red line
C6.1.2: Blue line > 20
C6.1.3: Blue trending up over last 1 candle
C6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator (Two indicators combined)
C6.2.1: Absolute Strengeh Histogram colour is blue
C6.2.2: HawkEye Volume Indicator colour is green
SHORT
C1: Coral Trend is bearish
C2: At least 1 candle where high is below Coral Trend since last cross below Coral Trend
C3: Pullback happens and price closes above Coral Trend
C4: Coral Trend colour remains bearish for duration of pullback
C5: After valid pullback, price then closes below Coral Trend
C6: Optional confirmation indicators (choose either C6.1 or C6.2 or NONE):
C6.1: ADX and DI (Single indicator)
C6.1.1: Red line is above green line
C6.1.2: Blue line > 20
C6.1.3: Blue trending up over last 1 candle
C6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator (Two indicators combined)
C6.2.1: Absolute Strengeh Histogram colour is red
C6.2.2: HawkEye Volume Indicator colour is red
NOTE: All the optional confirmation indicators cannot be overlayed with Coral Trend so feel free to add each separately to the chart for visual purposes
Trade exit:
Stop Loss: Calculated by recent swing low over previous X candles (configurable with "Local High/Low Lookback")
Take Profit: Calculated from R:R multiplier * Stop Loss size
Credits
Strategy origin: TradeIQ's YouTube video called "I Finally Found 80% Win Rate Trading Strategy For Crypto"
It combines the following indicators for trade entry conditions:
Coral Trend Indicator by @LazyBear (Main indicator)
Absolute Strength Histogram | jh by @jiehonglim (Optional confirmation indicator)
Indicator: HawkEye Volume Indicator by @LazyBear (Optional confirmation indicator)
ADX and DI by @BeikabuOyaji (Optional confirmation indicator)
Stablecoin Dominance (USDT, USDC & BUSD) Credits to lysergikUsed lysergik script and replaced DAI to BUSD, results will be practically the same.
Simple and Profitable Scalping Strategy (ForexSignals TV)Strategy is based on the "SIMPLE and PROFITABLE Forex Scalping Strategy" taken from YouTube channel ForexSignals TV.
See video for a detailed explaination of the whole strategy.
I'm not entirely happy with the performance of this strategy yet however I do believe it has potential as the concept makes a lot of sense.
I'm open to any ideas people have on how it could be improved.
Strategy incorporates the following features:
Risk management:
Configurable X% loss per stop (default to 1%)
Configurable R:R ratio
Trade entry:
Based on stratgey conditions outlined below
Trade exit:
Based on stratgey conditions outlined below
Backtesting:
Configurable backtesting range by date
Trade drawings:
Each entry condition indicator can be turned on and off
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: On higher timeframe trend EMAs, Fast EMA must be above Slow EMA
C2: On higher timeframe trend EMAs, price must be above Fast EMA
C3: On current timeframe entry EMAs, Fast EMA must be above Medium EMA and Medium EMA must be above Slow EMA
C4: On current timeframe entry EMAs, all 3 EMA lines must have fanned out in upward direction for previous X candles (configurable)
C5: On current timeframe entry EMAs, previous candle must have closed above and not touched any EMA lines
C6: On current timeframe entry EMAs, current candle must have pulled back to touch the EMA line(s)
C7: Price must break through the high of the last X candles (plus price buffer) to trigger entry (stop order entry)
SHORT
C1: On higher timeframe trend EMAs, Fast EMA must be below Slow EMA
C2: On higher timeframe trend EMAs, price must be below Fast EMA
C3: On current timeframe entry EMAs, Fast EMA must be below Medium EMA and Medium EMA must be below Slow EMA
C4: On current timeframe entry EMAs, all 3 EMA lines must have fanned out in downward direction for previous X candles (configurable)
C5: On current timeframe entry EMAs, previous candle must have closed above and not touched any EMA lines
C6: On current timeframe entry EMAs, current candle must have pulled back to touch the EMA line(s)
C7: Price must break through the low of the last X candles (plus price buffer) to trigger entry (stop order entry)
Trade entry:
Calculated position size based on risk tolerance
Entry price is a stop order set just above (buffer configurable) the recent swing high/low (long/short)
Trade exit:
Stop Loss is set just below (buffer configurable) trigger candle's low/high (long/short)
Take Profit calculated from Stop Loss using R:R ratio
Credits
"SIMPLE and PROFITABLE Forex Scalping Strategy" taken from YouTube channel ForexSignals TV
SSL + Wave Trend StrategyStrategy incorporates the following features:
Risk management:
Configurable X% loss per stop loss
Configurable R:R ratio
Trade entry:
Based on strategy conditions below
Trade exit:
Based on strategy conditions below
Backtesting:
Configurable backtesting range by date
Trade drawings:
Each entry condition indicator can be turned on and off
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Alerting:
Alerts on LONG and SHORT trade entries
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: SSL Hybrid baseline is BLUE
C2: SSL Channel crosses up (green above red)
C3: Wave Trend crosses up (represented by pink candle body)
C4: Entry candle height is not greater than configured threshold
C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration)
C6: Take Profit target does not touch EMA (represents resistance)
SHORT
C1: SSL Hybrid baseline is RED
C2: SSL Channel crosses down (red above green)
C3: Wave Trend crosses down (represented by orange candle body)
C4: Entry candle height is not greater than configured threshold
C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration)
C6: Take Profit target does not touch EMA (represents support)
Trade exit:
Stop Loss: Size configurable with NNFX ATR multiplier
Take Profit: Calculated from Stop Loss using R:R ratio
Credits
Strategy is based on the YouTube video "This Unique Strategy Made 47% Profit in 2.5 Months " by TradeSmart.
It combines the following indicators to determine trade entry/exit conditions:
Wave Trend: Indicator: WaveTrend Oscillator by @LazyBear
SSL Channel: SSL channel by @ErwinBeckers
SSL Hybrid: SSL Hybrid by @Mihkel00
Keltner Channels: Keltner Channels Bands by @ceyhun
Candle Height: Candle Height in Percentage - Columns by @FreeReveller
NNFX ATR: NNFX ATR by @sueun123
CL PMAPivot moving averages useing SMA's. This study is just a tweak from the study already done by @QUANTCT. I just cleaned it up and used SMAs instead of EMAs so he deserves most credit.
Alternative MTF Table█ OVERVIEW
This indicator is an educational indicator which was stripped down from Regression Channel Alternative MTF to display 3 timeframes based on timeframe scenarios.
The timeframe scenarios are defined based on Position, Swing and Intraday Trader.
█ INSPIRATION
It is possible to use array.new_bool, array.indexof and switch to get this outcome. Credits to TradingView .
DateNow█ OVERVIEW
Library "DateNow"
TODO: Provide today's date based on UNIX time
█ INSPIRATIONS
Use pinescript v4 functions such as year(), month() and dayofmonth().
Use pinescript v5 function such as switch.
Export as string variables.
Not using any match function such as math.floor.
█ CREDITS
RicardoSantos
█ KNOWN ISSUES
Date for Day display incorrectly by shortage 1 value especially Year equal to or before 1984
Timezone issue. Example : I using GMT+8 for my timezone, try using other GMT will not work. Al least, GMT+2 to GMT+13 is working. GMT-0 to GMT+1 is not working, although already attempt using UTC-10 to UTC-1.
dateNow()
: DateNow
Parameters:
: : _timezone
Returns: : YYYY, YY, M, MM, MMM, DD
Regression Channel Alternative MTF█ OVERVIEW
This indicator displays 3 timeframes of parallel channel using linear regression calculation to assist manual drawing of chart patterns.
This indicator is not true Multi Timeframe (MTF) but considered as Alternative MTF which calculate 100 bars for Primary MTF, can be refer from provided line helper.
The timeframe scenarios are defined based on Position, Swing and Intraday Trader.
█ INSPIRATIONS
These timeframe scenarios are defined based on Harmonic Trading : Volume Three written by Scott M Carney.
By applying channel on each timeframe, MW or ABCD patterns can be easily identified manually.
This can also be applied on other chart patterns.
█ CREDITS
Scott M Carney, Harmonic Trading : Volume Three (Reaction vs. Reversal)
█ TIMEFRAME EXPLAINED
Higher / Distal : The (next) longer or larger comparative timeframe after primary pattern has been identified.
Primary / Clear : Timeframe that possess the clearest pattern structure.
Lower / Proximate : The (next) shorter timeframe after primary pattern has been identified.
Lowest : Check primary timeframe as main reference.
█ EXAMPLE OF USAGE / EXPLAINATION
Orderblocks (Nephew_Sam_) - Open sourceHighlights orderblocks based on fractal market structure.
Whenever a new fractal high/low is created, it will search for the Orderblock and plot lines and labels
Options:
1. Select 3/5 bar fractal
2. Plot lines and labels on OB's
- Ability to filter OB only when a candle is fully engulfed
3. Change bar color of engulfed candles
4. Option to filter OB that follows with an FVG
View the published chart for more details on how this indicator works
Disclaimer: You have the permissions to use this code however make sure you give me the credits when you do and make it open source or grant me access to the code.
RAS.V2 Strength Index OscillatorHeavily modified version of my previous "Relative Aggregate Strength Oscillator" -Added high/low lines, alma curves,, lrc bands, changed candle calculations + other small things. Replaces the standard RSI indicator with something a bit more insightful.
Credits to @wolneyyy - 'Mean Deviation Detector - Throw Out All Other Indicators ' And @algomojo - 'Responsive Coppock Curve'
And the default Relative Strength Index
The candles are the average of the MFI ,CCI ,MOM and RSI candles, they seemed similar enough in style to me so I created candles out of each and the took the sum of all the candle's OHLC values and divided by 4 to get an average, same as v1 but with some tweaks. Previous Peaks and Potholes visible with the blue horizontal lines which adjust when a new boundary is established. Toggle alma waves or smalrc curves or both to your liking. This indicator is great for calling out peaks and troughs in realtime, although is best when combined with other trusted indicators to get a consensus.
DMI Stochastic Extreme Refurbished█ CONCEPTS
DMI Stochastic Extreme was originally published by Barbara Star, PhD, in TASC magazine of January 2013.
Basically it describes an improved version of the ADX DI+/DI- indicator, created by J. Welles Wilder.
In the setup described by the author, the DMI Oscillator is used together with a stochastic oscillator of DMI.
First, the DMI Oscillator is obtained by subtracting the minus directional movement indicator value (DI-) from the plus directional movement value (DI+).
The final result is the "DMI Stochastic Extreme" indicator, in which the stochastic oscillator is calculated. Only instead of using the price value, the stochastic is obtained through the DMI value.
█ Goals
The final indicator described by Barbara is the Stochastic Oscillator of DMI.
However, to use the DMI oscillator together (as described in the magazine), it is necessary to plot it in a separate indicator, which consumes screen space.
That's why the idea of joining both the DMI oscillator and the DMI Stochastic Oscillator into one thing came up, optimizing the visualization.
Taking advantage of the fact that my hands are already dirty :), I created some fine adjustments.
█ HOW TO USE IT
Here are some examples:
1. With default params:
2. With custom DI Length of 21 (Histogram), DI Length of 13 (for Stoch Oscilator), Stoch Length of 5, and another theme.
3. Another params with less noise:
█ THANKS AND CREDITS
- Barbara Star (original creator)
- ucsgears (arrow logic)
Market Structure Patterns (Nephew_Sam_)This market structure indicator plots HH/LL labels with a little twist - it can identify upto 14 custom patterns of your choice!
Indicator settings:
Pivot strength - highest or lowest point in a number of x left+right bars
Show - show zigzag lines, HHLL labels, Pattern Matches
Patterns - upto 14 patterns (7 bear, 7 bull) with custom label text
Styles - for labels and lines
Disclaimer
- Although 90% of this indicator is custom coded, I have to give credits to LonesomeTheBlue (www.tradingview.com) for his "Double Zig Zag with HHLL" indicator where I got the logic on how to plot the labels in real time.
- This indicator repaints labels in realtime (not historical candle)
HarmonicDB█ OVERVIEW
This library was to showcase database for specifications of Harmonic Patterns using arrays.
█ CREDITS
Scott M Carney, author of Harmonic Trading : Volume Three
animal_db(x)
TODO: export animal_db
Parameters:
x : TODO: float value is set to default if not necessary
Returns: TODO:
DeleteArrayObject█ OVERVIEW
Delete array object according to array size such as label, line, linefill, box and table.
█ CREDITS
HeWhoMustNotBeNamed
SuperIchi StrategyTRADE CONDITIONS
Long entry:
Tenkan-Sen is above Kijun-Sen (blue line above red line)
Price closes above both Tenkan-Sen and Kijun-Sen (price closes above both blue and red lines)
Tenkan-Sen and Kijun-Sen is above Senkou Span (both blue and red lines are above cloud)
Senkou Span is green (cloud is green)
Price pulled back and closed below both Tenkan-Sen and Kijun-Sen within last X (configurable in settings) candles (price pulled back below blue and red lines)
Short entry:
Tenkan-Sen is below Kijun-Sen (blue line below red line)
Price closes below both Tenkan-Sen and Kijun-Sen (price closes below both blue and red lines)
Tenkan-Sen and Kijun-Sen is below Senkou Span (both blue and red lines are below cloud)
Senkou Span is red (cloud is red)
Price pulled back and closed above both Tenkan-Sen and Kijun-Sen within last X (configurable in settings) candles (price pulled back above blue and red lines)
Risk management:
Each trade risks 2% of account (configurable in settings)
SL size determined by swing low/high of previous X candles (configurable in settings) or using the ATR override (configurable in settings) where the max of swing high/low or ATR value will be used to calculate SL
TP is calculated by Risk:Reward ratio (configurable in settings)
TIPS
Timeframe: I have found best results running on anything 5M and above
CREDITS
SuperIchi by LuxAlgo
Boom Hunter + Hull Suite + Volatility Oscillator StrategyTRADE CONDITIONS
Long entry:
Boom Hunter (leading indicator): Trigger line crosses over Quotient 2 line (white cross over red)
Hull Suite (trend confirmation): Price closed above hull suite line and hull suite is green (represented by horizontal line at -10 in strategy pane)
Volatility Oscillator (volatility confirmation): Volatility spike trigger line is above upper band (represented by horizontal line at -30 in strategy pane)
Short entry:
Boom Hunter (leading indicator): Trigger line crosses under Quotient 2 line (white cross under red)
Hull Suite (trend confirmation): Price closed below hull suite line and hull suite is red (represented by horizontal line at -10 in strategy pane)
Volatility Oscillator (volatility confirmation): Volatility spike trigger line is below lower band (represented by horizontal line at -30 in strategy pane)
Risk management:
Each trade risks 3% of account (configurable in settings)
SL size determined by swing low/high of previous X candles (configurable in settings) or 1 ATR if swing is less than 1 ATR
TP is calculated by Risk:Reward ratio (configurable in settings)
TIPS
Timeframe: I have found good results running on BTC/USDT 5M chart
Note: To help visual identification of trade entries and exits you may wish to add the Hull Suite and Volatility Oscillator to the chart separately. It was not possible to display them in a clear way within a single panel for the strategy. Make sure you set the settings of the auxiliary indicators to match what is in the settings of this indicator if you do decide to add them.
CREDITS
Boom Hunter Pro by veryfid
Hull Suite by InSilico
Volatility Oscillator by veryfid