Profit Maximizer PMaxPMax is a brand new indicator developed by KivancOzbilgic in earlier 2020.
It's a combination of two trailing stop loss indicators;
One is Anıl Özekşi's MOST (Moving Stop Loss) Indicator
and the other one is well known ATR based SuperTrend.
Both MOST and SuperTrend Indicators are very good at trend following systems but conversely their performance is not bright in sideways market conditions like most of the other indicators.
Profit Maximizer - PMax tries to solve this problem. PMax combines the powerful sides of MOST (Moving Average Trend Changer) and SuperTrend (ATR price detection) in one indicator.
Backtest and optimization results of PMax are far better when compared to its ancestors MOST and SuperTrend. It reduces the number of false signals in sideways and give more reliable trade signals.
PMax is easy to determine the trend and can be used in any type of markets and instruments. It does not repaint.
The first parameter in the PMax indicator set by the three parameters is the period/length of ATR.
The second Parameter is the Multiplier of ATR which would be useful to set the value of distance from the built in Moving Average.
I personally think the most important parameter is the Moving Average Length and type.
PMax will be much sensitive to trend movements if Moving Average Length is smaller. And vice versa, will be less sensitive when it is longer.
As the period increases it will become less sensitive to little trends and price actions.
In this way, your choice of period, will be closely related to which of the sort of trends you are interested in.
We are under the effect of the uptrend in cases where the Moving Average is above PMax;
conversely under the influence of a downward trend, when the Moving Average is below PMax.
Built in Moving Average type defaultly set as EMA but users can choose from 8 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Movin Average
WMA : Weighted Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average aka VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
Tip: In sideways VAR would be a good choice
You can use PMax default alarms and Buy Sell signals like:
1-
BUY when Moving Average crosses above PMax
SELL when Moving Average crosses under PMax
2-
BUY when prices jumps over PMax line.
SELL when prices go under PMax line.
ค้นหาในสคริปต์สำหรับ "Trailing stop"
Two level TP + TrailStp exits exampleMulti level exist example.
When you need take profit 50% of position size and trailing stop for remain part.
The different ids names for exits is important. Same id needs when we want to modify exit's parameters.
AITI Investa: Trend FollowingScript ini dibuat untuk membantu strategi trend following harian pada saham-saham di IHSG.
Terdiri dari:
1. Petunjuk visual untuk area trend yang sebaiknya dihindari ( bearish trend ), berupa background berwarna merah. Dimana area bearish trend adalah ketika garis fast ema berada di bawah garis slow ema .
2. Batas stop loss / trailing stop, dengan acuan nilai ATR.
Script ini tidak memberikan sinyal buy. Silakan gunakan strategi buy on weakness/breakout sesuai analisa dan preferensi masing-masing. Untuk mencari entry trigger, penulis merekomendasikan untuk menarik garis support/resistance manual dan digabungkan dengan indikator MACD & CCI sebagai konfirmasi.
-AITI Investa
Ichimoku Cloud - AlertsIchimoku cloud
IC is a trend - following system with an indicator similar to moving averages
It predicts price movements
Offers a unique perspective of support and resistance levels.
Conversion Line (Turning Line)
- Measures Short Term Trend
- SIgnals an area of minor support and resistance
Base Line (Confirmation Line)
Measures Medium term trend
Used as Trailing Stop Level.
Lagging Span (Lagging Line)
Used for Confirmation of signals
Can also serve as Support and Resistance Level
Kumo Cloud
Formed of two lines: Span A (Green Line) and Span B (Red Line)
Dynamic Support and Resistance .
HOW TO READ ICHIMOKU INDICATOR
Conversion Line
If the Market Price is above the Conversion Line = Short Term Upward Movement
If the Market Price is below the Conversion Line = Short Term Downward Movement
Increasing Conversion Line = Upward Short Term Trend
Decreasing Conversion Line = Downward Short Term Trend
Base Line
If the Market Price is above the baseline = Medium - term upward trend
If the Market price is below the baseline = Medium - Term downward Trend
Increasing Base Line = Upward Medium term trend
Decreasing Base Line = Downward Medium Term Trend
Lagging Span
The Evolution of the current price action in relation to previous price action
If the Lagging span is above the current price = Bullish Bias
If the Lagging span is below the current price = Bearish Bias
Lagging span near the current price = Trading range
Kumo Cloud
Dynamic Support and Resistance based upon price action.
The longer the price stays below/above the Kumo cloud, the STRONGER the trend is.
When the cloud is wide, the expected support or resistance is strong
When the cloud is thin, the expected support or resistance is weak
Never trade inside the KUMO CLOUD.
HOW TO TRADE WITH ICHIMOKU CLOUD
Baseline and conversion Line crossover (Lagging Span as a Filter)
crossover(conversion line, baseline) = Buy
crossunder(conversion line, baseline) = Sell
FILTER
crossover(conversion line, baseline) and lagging span is Bullish (i.e above the price) = Buy
Crossunder(conversion line, baseline) and lagging span is Bearish (i.e below the price) = Sell
2. Baseline - Conversion line crossover (Kumo cloud Filter)
crossover(conversion line, baseline) above the Kumo Cloud = Strong Buy
crossover(conversion line, baseline) below the Kumo cloud = Weak Buy
crossunder(conversion line, baseline) below the Kumo Cloud = Strong Sell
crossunder(conversion line, baseline) above the Kumo Cloud = Weak Sell
3. Kumo Cloud Breakout
When the price enters the Kumo Cloud, and breaks its Upper wall upward = Bullish Signal
When the price enters the Kumo Cloud, and breaks its Lower wall downward = Bearish Signal
4. Kumo Cloud Crossover
When Span A cuts the Span B from below to the upside and prices are positioned above the Kumo Cloud = Strong Buy Signal
When Span A cuts the Span B from upside to the bottom and the prices are positioned below the Kumo Cloud = Strong Sell
When Span A cuts Span B from bottom to the upside and prices are positioned below the Kumo Cloud = Weak Buy Signal
When Span A cuts Span B from the upside to the bottom and the prices are positioned above the Kumo Cloud = Weak Sell Signal.
NOTE:- Some of the signals collide with each other, but they collide for the same call, so shouldn't really be a problem overall. Let me know if you have any suggestions to nullify the trading Range. Though I do plan on adding my Renko code to it for filtering out Trading Range.
Noro's RiskDonchian StrategyThe strategy uses Donchian price channel . The channel is shown in blue lines. All other lines use Donchian channel too. The red line is the center line between the channel lines. The lime line is a few percent further away. The percentage is set by the user in the strategy settings.
Lines
Blue line - to open position using market stop order
Lime line - take-profit (limit order)
Red line - stop-loss (market stop order, trailing-stop)
For
- BTC /USD, XBT/USD, ETH/USD (need USD)
- timeframe: 1h or 4h
Gator RibbonThere's nothing fancy here--I just like the look of this one. And it works pretty well. This started out as the standard Alligator indicator. There I reset all the offsets to 0 and added an Ichimoku Cloudish fill.
Astute observers will notice a fourth line has been added at 34 SMA. It's a bit of a cheat. 34 SMA is the zero line of another classic B. Williams indicator, the Awesome Oscillator. When the green line crosses over 34 SMA, it's quite likely the Awesome Oscillator will have changed sentiment as well. It also makes a nice loose trailing stop loss reference if you're hoping to get into some long trends.
Simple Moving Average Double HelixThis one is a mix of colour-coded moving averages and Ichimoku. It features two pairs of SMAs--default values of 9/20 and 50/200. Each SMA will be green when it rises and red when it falls. The spaces between each pair will fill with green or red depending on which line is on top. 9 over 20 or 50 over 200 makes a green cloud; if 9 or 50 falls below, the cloud will switch to green.
There's also the Ichimoku lagging span and a 35-period SMA (grey) that can be used as a trailing stop loss guideline.
Ideal long setup:
9, 20, 50, and 200 SMA are all green
both clouds are green
lagging span is above historic price action
Ideal short setup:
9, 20, 50, and 200 SMA are all red
both clouds are red
lagging span is below historic price action
Breakout Trend Follower StrategyThis strategy goes long when highs are broken and uses a trailing stop that follows swing lows. User can configure a back test date range and choose whether or not to only take trades above a selected moving average.
The desire for me to make this script was to try to capture those extreme breakouts that can occur after a consolidation/equilibrium pattern. This catches those using stop-buys as the entry. Out of all the scripts I have made thus far, this one is the one that has the best results. Time frames might vary due to commission structures, etc. I currently use this strategy on stocks on the 30-min time frame and crypto (with Coinbase's high fees) on the 2-hr time frame.
Noro's Donchian StrategyThe strategy uses Donchian price channel . The channel is shown in blue lines. All other lines use Donchian channel too. The red line is the center line between the channel lines. The lime line is a few percent further away. The percentage is set by the user in the strategy settings.
Lines
Blue line - to open position using market stop order
Lime line - take-profit (limit order)
Red line - stop-loss (market stop order, trailing-stop)
For
- BTC /USD, XBT/USD, ETH/USD (need USD)
- timeframe: 1h or 4h
KINSKI Buy-Sell Signal"KINSKI Buy-Sell Signal" is an Average True Range (ATR) based trailing stop indicator.
In this version, you can change the ATR calculation method using the settings. The default method is hlc3. The HLC stands for High, Low, Close and the /3 divides the result by 3 to give you the average.
The indicator calculates the buy and sell signals using HLC3, Simple Moving Average ( SMA ) and the Exponential Moving Average ( EMA ) as soon as they cross. This indicator is useful with time intervals starting at 15m.
Have fun with it and be careful when buying and selling!
Example Chart:
V/V weighted ma - JDAs a third new weighted moving average I present the Volume-Volatility Weighted Moving Average.
The Volume-Volatility Weighted Moving Average (VVwma) calculates the average price over a certain period,
weighted by both volume and volatilty, Big volume doesn't necessarily move price a lot but is very important,
big price moves don't always need big volume but also have a lot of importance!
In this indicator both big volume moves as well as big price moves are factored in to calculate the ma behaviour.
The ma has a tendancy to quickly give an indication of a ranging vs trending market by angle of the ma.
In ranging market it quickly flattens out and could be used to filter out insignificant low volume/volatility moves
compared to regular ma's or the standard volume weighted ma
Another use of it could be as entry/exit signals or
as a means of a trailing stop or a hard exit for a strategy or
as a "baseline" to combine with other signals
feel free to experiment!!!
If you use the VVwma in your scripts or your work, a shoutout would be nice!!
Gr, JD.
#NotTradingAdvice #DYOR
Volatility weighted maThe next in my series of weighted moving averages is the Volatility Weighted Moving Average.
The Volatility Weighted Moving Average (Volwma) calculates the average price over a certain period,
contrary to the well known Volume weighted ma, it is weighted by volatilty,
meaning big price moves don't always need big volume but also have a lot of importance!
In this indicator these big price moves are factored in to calculate the ma behaviour.
As the ma is quite biased on price moves it can quickly give an indication of a ranging vs trending market by angle of the ma.
In ranging market it quickly flattens out and could be used to filter out insignificant low volatility moves
compared to regular ma's or the standard volume weighted ma
Another use of it could be as entry/exit signals or
as a means of a trailing stop or a hard exit for a strategy or
as a "baseline" to combine with other signals
feel free to experiment!!!
If you use the Volwma in your scripts or your work, a shoutout would be nice!!
Gr, JD.
#NotTradingAdvice #DYOR
Guppy Count Back LineThe Guppy Count Back Line was created by Daryl Guppy and is essentially a trailing stop indicator. I have color coded the indicator to tell you if you should go long or short.
This was a special request so let me know if you would like me to write more scripts for other indicators!
Validated PSARPSAR works well as trailing stop loss (or WinStop), but is often whipsaw'd as it detect trend changes over enthusiastically.
So, a filter to validate trend changes was added. It basically requires 3 straight bars completely breaking the prior saved PSAR level.
Enjoy!
Hikmet SupertrendSuperTrend is one of the most common ATR based trailing stop indicators.
In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA .
The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier. The default values used while constructing a superindicator are 10 for average true range or trading period and three for its multiplier.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility .
The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price.
It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red.
A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it fails in a sideways-moving market.
SuperTrendSuperTrend is one of the most common ATR based trailing stop indicators.
In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA.
The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier. The default values used while constructing a superindicator are 10 for average true range or trading period and three for its multiplier.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility.
The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price.
It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red.
A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it fails in a sideways-moving market.
I had converted Supertrend indicator code for various platforms like Metastock in 2017, but in this TradingView version special credit goes to everget - Alex Orekhov which gave a great inspiration to look my indicators better with highlights, signals and alarms. Thank you Alex.
KLemurs DeviationMarket: Stocks and ETF's
This overlay shows the deviation of the exponential moving average of the mid candle price of the currently loaded chart, away from the exponential moving average of the S&P and DOW combined and averaged mid candle price. The top and bottom lines also give a visual perspective of what a certain percentage (default 1%) looks like on the current charts window. This may help with making quick decisions for things like setting trailing stop trades with a percentage. This can be used for stocks, ETF's, and index's and It may be useful in finding potential stocks or ETF's if you are interested in these kinds of deviations. Defaults are set for a dark screen but can be edited to your taste. It's optimized to be an overlay on the current chart window as opposed to being a separate window.
Percentage Lines (editable)
This is three lines. The upper line (default green) plots the set percentage (default 1%) above the current chart’s ema. The middle line (default white) plots the current chart’s ema. The lower line (default red) plots the set percentage (default 1%) below the current chart’s ema.
Deviation Band (editable)
This is the colored band on the overlay between the upper and lower percentage lines. The band’s fill color indicates the deviation of the current charts ema from the ema of the combined S&P and DOW’s ema as follows:
- Red (default) = Current Chart’s ema is descending and the S&P/DOW ema is descending OR the Current Chart’s ema is below (underperforming) the S&P/DOW ema.
- Orange (default) = The Current Chart and S&P/DOW ema’s are both either ascending or descending together.
- Green (default) = The Current Chart’s ema is ascending but the S&P/DOW ema is descending.
To Set Line Colors
BY default, the upper line color uses the same colors as the ascending band color and the lower line uses the same color as the descending band color. To set the line colors, see "plotColor", "plotColorUp", or" plotColorDown" in variable settings within the script or use the “Central Plot Line”, “Upper Plot Line, or “Lower Plot Line” in the input dialogue to change this.
To Set Band Colors
To set the band colors, see "plotColor", "plotColorUp", or "plotColorDown" in variable settings within the script or use the “Color0”, “Color1", or “Color2” in the input dialogue to change this.
To Set EMA Lookback Period
The ema lookback period defaults to 5. This is the number of candles back that the script will use to determine the ema. See “CCemaN” in variable settings within the script or use the “EMA Period” in the input dialogue to change this.
To Set Percentage
To set the percentage that plots the upper and lower lines, see "CCP" in variable settings within the script or use “Upper/Lower Bands Percentage” in the input dialogue to change this. The default is .01 (or 1%).
Stochastic Pop and Drop by Jake Bernstein v1 [Bitduke]I found a simple strategy by Jake Bernstein, modified it a little and created a strategy with Risk Management System (SL+TP); After that I test it on the different cryptocurrency pairs.
About the Indicator
Basically it's the strategy of 2 indicators: Stochastic Oscillator to define the bias and Average Directional Index to confirm it.
One again, It uses Stochastic Oscillator to define the trading bias. In particular, the trading bias was deemed bullish when the weekly 14-period Stochastic Oscillator was above some default value (in him paper - 50) and rising and vice versa.
Once the trading bias is established, Steckler used the Average Directional Index (ADX) to define a slowdown in the trend. ADX measures the strength of the trend and a move below 20 signals a weak trend.
Modifications
I didn't implement Average Directional Index (ADX) and test just different sources for data, oscillator periods and different levels in relation to the crypto market.
So, it shows good results with two tight thresholds at 55 and 45 level.
The bar chart below the defining the bullish and bearish periods (green and red) and gives a signal to enter the trade (purple bars).
Backtesting
Backtested on XBTUSD , BTCPERP (FTX) pairs. You may notice it shows good results on 3h timeframe.
Relatively low drawdown
~ 10% (from 2019 to date) FTX
~ 22% (4 years from 2016) Bitmex
I backtested on the different altcoin pairs as well, but the results were just not good.
Relatively good results were shown by some index pairs from the FTX exchange ( FTX:SHITPERP ), but I think there is a few data for backtesting to be asure in them.
Bitmex 3h (2017 - 2020) :
i.imgur.com
FTX 3h (2019 - 2020):
i.imgur.com
Possible Improvements
- Regarding trading algorithm it would be good to check with strategy with ADX somehow. Maybe for the better entries
- As for Risk Management system, it can be improved by adding trailing stop to the strategy.
Link: school.stockcharts.com
Grover Llorens Activator Strategy AnalysisThe Grover Llorens Activator is a trailing stop indicator deeply inspired by the parabolic SAR indicator, and aim to provide early exit points and reversal detection. The indicator was posted not so long ago, you can find it here :
Today a strategy using the indicator is proposed, and its profitability is analyzed on 3 different markets with the main time frame being 1 hour, remember that lower time frames involve lower absolute price changes, therefore we are way more affected by the spread, and we can require a larger position sizing depending on our investment target, trading higher time-frames is always a good practice and this is why 1 hour is selected. Based on the result we might make various conclusions regarding the indicator accuracy and might have ideas on future improvements of the indicator.
I'am not great when it comes to strategy design, i still hope to share correct and useful information in this post, let me know your thoughts on the post format and if i should make more of these.
Setup And Rules
The analysis is solely based on the indicator signals, money management isn't taken into account, this allow us to have an idea on the indicator robustness and resilience, particularly on extremely volatile markets and ones exhibiting a chaotic structure, altho it is normally good practice to close any position before a market closure in order to avoid any potential major gaps.
The settings used are 480 for length and 14 for mult, this create relatively mid term signals that are suited for a trend indicator such as the Grover Llorens Activator, unfortunately we can't infer the indicator optimal settings, thats how it is with any technical indicator anyway.
Here are the rules of our strategy :
long : closing price cross over the indicator
short : closing price cross under the indicator
We use constant position sizing, once a signal is triggered all the previous positions are closed.
Description Of The Statistics Used
Various statistics are presented in this post, here is a brief description of the main ones :
Percent Profitability (higher = better): Percentage of winning trades, that is : winning trades/total number of trades × 100
Maximum Drawdown (lower = better) : The highest difference between a peak and a valley in the balance, that is : peak - valley , in percentage : (peak - valley)/peak × 100
Profit Factor (higher = better) : Gross profit divided by gross loss, values under 1 represent gross losses superior to the gross profits
Remember that more volatility = more risk, since higher absolute price changes can logically cause larger losses.
EURUSD
The first market analyzed is the Forex market with the EURUSD major pair with a position sizing of 1000 units (1 micro lot). Since October EURUSD is not showing any particular strong trend but posses a discrete rising motion, fortunately cycles can be observed.
The equity was rising until two trades appeared causing a decline in the equity. Before October a bearish market could be observed.
We can see that the equity is rising, the trend still posses various retracements that affect our indicator, however we can see that the indicator totally nail the end of the trend, thats the power of converging toward the price.
In short :
$ 86.63 net profit
340 closed trades
37.65 % profitable (thats a lot of loosing trades)
1.19 profit factor
$ 76.67 max drawdown
Applying a spread would create negative results (in general the average spread is used), not a great start...
BTCUSD
The cryptocurrency market is relatively more volatile than others, which also mean potentially higher returns, we test the indicator using certainly the most traded cryptocurrency, BTCUSD. We will use a position sizing of 1 unit.
In the case of BTCUSD the strategy balance is relatively stationary around the initial capital, with of course high dispersion.
from september to december the market is bearish with various ranging periods, no apparent cycles can be observed, except maybe in the ranging period of october, this ranging period is followed by a non linear trend (relatively parabolic) that the indicator failed to capture in its integrity (this is a recurrent problem and it is starting to piss me off xD).
In short :
$ 2010.64 net profit (aka how i bet the crypto market)
395 closed trades
38.23 % profitable
1.036 profit factor
$ 5738.01 max drawdown (aka how i lost to the crypto market)
AMD
AMD stand for Advanced Micro Devices and is a company focused on the development of computer technology, i love the microprocessor market and i really like AMD who start this year in a pretty great way with a net bullish trend.
The performance of the indicator on AMD is decent (at last !) with the equity producing many new higher highs. The indicator performance still drop in the middle end of 2019 with a large equity drawdown of 17$ caused by the gap of august 8. Unfortunately AMD, like lot of well behaving stocks can only tells us that the indicator has good performances on heavily trending markets with no excess of noise or chaotic structures.
In short :
$ 17.86 net profit (Enough for a consistent lunch)
295 closed trades
36.27 % profitable
1.414 profit factor
$ 10.37 max drawdown.
Conclusion
A strategy using the recently proposed Grover Llorens activator has been presented. We can easily conclude that the indicator can't possibly generate long term returns under chaotic and volatile markets, and could even produce unnecessary trades in trending markets without much parasitic fluctuations such as noise and retracements (think about a simple linear trend) since the indicator converge toward the price and would therefore automatically cross over/under the trend, thus guaranteeing a false signal.
However we have seen its ability to provide accurate early reversal detection shine from time to time, thus over performing lagging indicators in this aspect, however the duration of price fluctuations isn't fixed at a certain period, the rate of convergence should be way faster during volatile fluctuations, of moderate speed during more cyclic fluctuations, and really slow with apparent long term trends, this could be achieved by making the indicator adaptive, but it won't really make it necessarily perform better.
That said i still believe that converging trend indicators are really interesting and aim to capture the non lasting behavior of price fluctuations, they shouldn't receive so much hate (think about the poor p-sar).
Thanks for reading !
Hancock - Filtered Volume OBV OSC [Alerts]This is an alert version of the strategy found here
This doesn't have the trailing stop or stop loss risk management included, i'll work on a release that has risk management included as best i can with alerts. Make sure to set a stop loss with your alert command.
Happy trading
Hancock
BLANK Strategy + TSL + Backtestrange- I often see ppl struggeling do the first own strategy
- this is an example, for a smooth start
- EDIT it to your needs ( DELET my EXAMPELS and add your INPUTS/CONDITIONS)
- i added also a Backtestrange, so you can test your Strategy in different marketphases
- also added a trailing-stop-loss
Urban TowersI translated a scalping system by Navin Prithyani into pine and want to share it with you.
Navin has a lot of resources for the system online including an extensive +60m video explaining the ins and outs.
Including links is against the house rules, so you'll have to DYOR.
Quick Criteria Overview:
---
- Can see through EMAs
- Entry above the signal candle
- Stop below the signal candle
- Targets include 1:1, trailing stop, and psychological levels
Why not give it a whirl? Back test it and share your results.
This is a fairly mechanical scalping system to be used on lower time frames.
I have programmed alerts into the system so you don't have to stare at your screen all day.
Happy profits y'all, enjoy the scalper.
Peace.
$ SuPeR-RePaNoCHa $ [Alerts]Script for automatic trading (Alerts). This is the second part of the previous RePanoCHa script but with Take Profit.
It Use 6 indicators + volume:
-JURIK MOVING AVERAGE
-RANGE FILTER (DONOVAN WALL)
-ADX (ORIGINAL VERSION)
-PARABOLIC SAR
-RSI + VOLUME WEIGHTED (LAZYBEAR)
-MACD
-VOLUME
To close the position you can choose between Take Profit only, Trailing Stop only or both at the same time.
Example of bot syntax: (alerts once per bar)
LONG | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=order | delay=1 | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position b=short t=market ro=1 | delay=1 | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT b=long q=100% t=market | delay=1 | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position b=long p=0.7% q=50% t=post ro=1
SHORT | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=order | delay=1 | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position b=long t=market ro=1 | delay=1 | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT b=short q=100% t=market | delay=1 | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position b=short p=-0.7% q=50% t=post ro=1
LONG TP | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position q=50% t=market ro=1 (if you set the TP from entry this alert is not necessary)
SHORT TP | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position q=50% t=market ro=1 (if you set the TP from entry this alert is not necessary)
LONG TS | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position q=10% t=market // (alerts once per minute)
SHORT TS | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position q=10% t=market // (alerts once per minute)
XLONG/STOP-LOSS | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=order | delay=1 | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position b=long t=market ro=1
XSHORT/STOP-LOSS | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=order | delay=1 | e=BINANCEFUTURES a=ACCOUNT s=BTCUSDT c=position b=short t=market ro=1