3Commas BotBjorgum 3Commas Bot
A strategy in a box to get you started today
With 3rd party API providers growing in popularity, many are turning to automating their strategies on their favorite assets. With so many options and layers of customization possible, TradingView offers a place no better for young or even experienced coders to build a platform from to meet these needs. 3Commas has offered easy access with straight forward TradingView compatibility. Before long many have their brokers hooked up and are ready to send their alerts (or perhaps they have been trying with mixed success for some time now) only they realize there might just be a little bit more to building a strategy that they are comfortable letting out of their sight to trade their money while they eat, sleep, etc. Many may have ideas for entry criteria they are excited to try, but further questions arise... "What about risk mitigation?" "How can I set stop or limit orders?" "Is there not some basic shell of a strategy that has laid some of this out for me to get me going?"
Well now there is just that. This strategy is meant for those that have begun to delve into the world of algorithmic trading providing a template that offers risk defined positions complete with stops, limit orders, and even trailing stops should one so choose to employ any of these criteria. It provides a framework that is easily manipulated (with some basic working knowledge of pine coding) to encompass ones own ideas and entry criteria, while also providing an already functioning strategy.
The default settings have a basic 1:1 risk to reward ratio, which sets a limit and a stop equal distance from the entry. The entry is a simple MA cross (up for long, down for short). There a variety of MA's to choose from and the user can define the lengths of the averages. The ratio can be adjusted from the menu along with a volatility based adder (ATR) that helps to distance a stop from support or resistance. These values are calculated off the swing low/high of the user defined lookback period. Risk is calculated from position entry to stop, and projected upwards to the limit as a function of the desired risk to reward ratio. Of note: the default settings include 0.05% commissions. Competitive commissions of the leading cryptocurrency exchanges are .1% round trip (one buy and one sell) for market orders. There is also some slippage to allow time for alerts to be sent and orders to fill giving the back test results a more accurate representation of real time conditions. Its recommended to research the going rates for your exchange and set them to default for the strategy you use or build.
To get started a user would:
1) Make a copy of the code and paste in their bot keys in the area provided under the "3Comma Keys" section
- eg. Long bot "start deal" copied from 3commas in to define "Long" etc. (code is commented)
2) Place alert on desired asset with desired settings ensuring to select "Order fills and alert() function calls"
3) Paste webhook into the webhook box and select webhook URL alerts (3rd party provided webhook)
3) Delete contents of alert message box and replace with {{strategy.order.alert_message}} and nothing else
- the codes will be sent to the webhook appropriately as the strategy enters and exits positions. Only 1 alert is needed
settings used for the display image:
1hr chart on BTCUSD
-ATR stop
-Risk adjustment 1.2
-ATR multiplier 1.3
-RnR 0.6
-MAs HEMA/SMA
-MA Length 50/100
-Order size percent of equity
-Trail trigger 60% of target
Experiment with your own settings on your crypto of choice or implement your own code!
Implementing your trailing stop (optional)
Among the options for possible settings is a trailing stop. This stop will ratchet higher once triggered as a function of the Average True Range (ATR). There is a variable level to choose where the user would like to begin trailing the stop during the trade. The level can be assigned with a decimal between 0 and 1 (eg. 0.5 = 50% of the distance between entry and the target which must be exceeded before the trail triggers to begin). This can allow for some dips to occur during the trade possibly keeping you in the trade for longer, while potentially reducing risk of drawdown over time. The default for this setting is 0 meaning unless adjusted, the trail will trigger on entry if the trailing stop exit method is selected. An example can be seen below:
Again, optional as well is the choice to implement a limit order. If one were to select a trailing stop they could choose not to set a limit, which could allow a trail to run further until hit. Drawdowns of this strategy would be foregoing locking gains at highs on target on other trades. This is a trade-off the user can decide on and test. An example of this working in favor can be observed below:
Conclusion
Although a simple strategy is implemented here, the benefits of this script allow a user a starting platform to build their strategies from with built in risk mitigation. This allows the user to sidestep some of the potential difficulties' that can arise while learning Pine and taking on the endeavor of automating their trading strategies. It is meant as an aid, a structure, and an educational piece that can be seen as a "pick-up-and-go" strategy with easy 3Commas compatibility. Additionally, this can help users become more comfortable with strategy alert messages and sending strings in the form of alerts from Pine. As well, FAQs are often littered with questions regarding "strategy.exit" calls, how to implement stops. how to properly set a trailing stop based on ATR, and more. The time this can save an individual to get started is likely of the best "take-aways" here.
Happy trading
Cari dalam skrip untuk "crypto"
Boltoc DominanceThis indicator is simply an oscillator form Bitcoin Dominance made to ease the process of comparing cryptocurrencies with Bitcoin's Dominance
Supertrend LSMA long StrategyThis is a long strategy which combines Super trend indicator with LSMA moving average.
In general it tends to works better with long trending markets such as stocks and cryptos using a big timeframe.
The rules are simple
Long entry:
Supertrend is telling us to go long and close of a candle is above moving average
Long exit:
Supertrend is telling us to go short
IF you have any questions, let me know !
BTC Sentiment analysis RSI 2xEMAThis is a CRYPTO correlation strategy, which is using BTC sentiment with BITFINEX long and short ratios.
WIth them we are making from one side 2 RSI, one for long and another for short. And from another side, we are going to make multiple EMA's, using the ratios for long and short.
Rules for entry
For this scenario I created a long only strategy.
The long entry condition is : we have a crossover of the rsi long ratio with rsi short ratio and long ratio from BITFINEX is above the long EMA and short ratio from BITFINEX is below short EMA.
We exit when we get the opposite condition, in this case we have a crossunder of the rsi long ratio with rsi short ratio and long ratio from BITFINEX is below the long EMA and short ratio from BITFINEX is above short EMA.
If you have any questions, let me know !
BTC Candle Correlation Strategy This is a special strategy adapted for crypto market, which instead of using the current chart candles, we use inside calculation a candle from different charts.
For best usage I recommend a big timeframe like 1-4h+.
In this case we take the high, low, open and close candles from different brokers for BTC, and with it we form up the candle that we are going to use for the logic of entry.
At the same time we are going to create an upper and lower bands using a moving average and the difference between high and low.
So in a way to put it, if BTC triggers a sell or buy order, we input instead these orders on the current chart, like in this example with ETH.
Rules for entry
For long : if we have a crossover of the btc source value with the upper band .
For short: if we have a crossunder of the btc source vale with the lower band.
For exit, we do it when we receive a different signal than the initial one.
This strategy does not have any other risk management inside, so use it with caution.
If you have any other questions, let me know !
Aggregated Volume Colored (Bitcoin, ETH, Altcoins, everything)BITSTAMP:BTCUSD
This indicator aggregates trading volume data of up to 10 symbols and can display the individual data by color.
It is useful for assets which are traded on multiple exchanges, like cryptocurrencies, commodities, forex and derivatives showing you what is happening across the market and on the individual exchanges to give you beter insights.
You can change the symbols from which the indicator gathers data in the settings under inputs, just like the colors, and you can add a moving average.
By default trading volume is aggregated from the following symbols:
Binance, BTC /USDT
Binance, BTC /BUSD
Bingbon, BTC /USD
Huobi, BTC /USDT
OkeX, BTC /USDT
Coinbase, BTC /USD
Bitfinex, BTC /USD
Gemini, BTC /USD
Kraken, XBT/USD
Bitstamp, BTC /USD
Kifier's ALT-COIN Failed Volume PressureGeneral Idea:
The basic idea is really simple - to detect during a bull-run, good mid-run entries or even predicting the start of a run, and the overcoming of the sell pressure, and I got this idea very naturally while looking back at my entries with ADA 6 months back. The indicator simply detects for you and alerts where volume reaches high reds but the actual price of the asset does not close lower than the previous open. This essentially shows a rejection of the selling pressure, and usually if either in a stagnant or bullish trend will just result in a bullish trend. It’s also great to detect entries into a bull-run mid way, which can happen quite often with cryptos. Due to the reliance of volume in this one, it’s probably best to stick with mid to low cap alt-coins, as BTC and even ETH at this point have a more complicated price action trends.
Usage:
It’s built ideally for long-term timeframes, so 1D is the minimum in my opinion, and it should be used in combination with other indicators to confirm entries and market conditions, plus fundamental analysis is VERY important when it comes to trading with volume as a leading indicator in lower cap alt-coins.
Structure:
The blue line is an average of the volume over a period while the yellow is the current volume, this makes it easy when a volume anomaly occurs and essentially a massive sell-off.
The green/red lines at the bottom unimaginatively is just a simple trend indicator based of two EMAs.
I also want to attempt to make a version for smaller time-frames as well, which needs to also account for market noise and a better trend detection but that’s for a future time.
It’d be great to hear feedback and even ideas on beneficial changes!
Financial Astrology Crypto ML Daily TrendThis daily trend indicator is based on financial astrology cycles detected with advanced machine learning techniques for the crypto-currencies research portfolio: ADA, BAT, BNB, BTC, DASH, EOS, ETC, ETH, LINK, LTC, XLM, XMR, XRP, ZEC and ZRX. The daily price trend is forecasted through this planets cycles (angular aspects, speed, declination), fast ones are based on Moon, Mercury, Venus and Sun and Mid term cycles are based on Mars, Vesta and Ceres. The combination of all this cycles produce a daily price trend prediction that is encoded into a PineScript array using binary format "0 or 1" that represent sell and buy signals respectively. The indicator provides signals since 2021-01-01 to 2022-12-31, the past months signals purpose is to support backtesting of the indicator combined with other technical indicator entries like MAs, RSI or Stochastic. For future predictions besides 2022 a machine learning models re-train phase will be required.
The resolution of this indicator is 1D, you can tune a parameter where you can determine how many future bars of daily trend are plotted and adjust an hours shift to anticipate future signals into current bar in order to produce a leading indicator effect to anticipate the trend changes with some hours of anticipation. Combined with technical analysis indicators this daily trend is very powerful because can help to produce approximately 60% of profitable signals based on the backtesting results. You can look at our open source Github repositories to validate accuracy using the backtesting strategies we have implemented in Jesse Crypto Trading Framework as proof of concept of the predictive potential of this indicator. Alternatively, we have implemented a PineScript strategy that use this indicator, just consider that we are pending to do signals update to the period July 2021 to December 2022: This strategy have accumulated more than 110 likes and many traders have validated the predictive power of Financial Astrology.
DISCLAIMER: This indicator is experimental and don’t provide financial or investment advice, the main purpose is to demonstrate the predictive power of financial astrology. Any allocation of funds following the documented machine learning model prediction is a high-risk endeavour and it’s the users responsibility to practice healthy risk management according to your situation.
Aggregated VolumeBITSTAMP:BTCUSD
This indicator aggregates trading volume data of assets which are traded on multiple exchanges (like cryptocurrencies, commodities, forex and derivatives) to give you better insights on the markets.
You can change the markets from which the indicator gathers data in the settings under inputs.
By default, data is aggregated from the following markets:
Binance, BTC /USDT
Binance, BTC /BUSD
Bitfinex, BTC /USD
Coinbase, BTC /USD
Bingbon, BTC /USD
Bitstamp , BTC /USD
Kraken, XBT/USD
Gemini, BTC /USD
OkeX, BTC /USDT
Huobi, BTC /USDT
Ichimoku Cloud Strategy Long Only [Bitduke]Slightly modificated and optimized for Pine Script 4.0, Ichimoku Cloud Strategy which, suddenly, good suitable for the several crypto assets.
Details:
Enter position when conversion line crosses base line up, and close it when the opposite happens.
Additional condition for open / close the trade is lagging span, it should be higher than cloud to open position and below - to close it.
Backtesting:
Backtested on SOLUSDT ( FTX, Binance )
+150% for 2021 year, 8% dd
+191% for all time, 32% dd
Disadvantages:
- Small number of trades
- Need to vary parameters for different coins (not very robust)
Should be tested carefully for other coins / stock market. Different parameters could be needed or even algo modifications.
Strategy doesn't repaint.
Average EnvelopeA script to calculate a support / resistance level which acts as either a bounce level or a flip level. This is rather a macro play guide than a day trade tool.
The average is calculated by taking into account monthly/weekly/daily highs and average them out.
The script also paints fib levels based on the values of the upper and the lower band.
While this was designed with a cryptocurrency market in mind (no 'close' values per-se) it holds with traditional markets as well.
[francrypto® strategy] 4 EMAs, P.SAR & Vol.Prof. (by kv4coins)(ENG)
This script consists of my own strategy for cryptocurrency (but can be adapted very well for stocks, forex, etc.)
Is a combination of:
- Four Exponentials Moving Average (EMA), configurables: by defect are 10, 21, 55 and 200 periods in yellow, aqua, orange and blue each of them
- Parabolic SAR System (PSAR), configurable
- Volume Profile (that has been developed by kv4coins - he has already authorized me to use it under the same OSS Licence Terms: MPL 2.0), configurable: with another default values and bilingual support for Spanish (SPA)
How it works
1) It is always better to detect specifics candlesticks or patrons: doji , pinbar or inverted pinbar , engulfing bars , morning star or evening star , harami , twizzer bottom or top , etc.
2) The 10 and 21 periods EMA help to identify the short-term behavior
3) The 55 periods EMA can be used like a support or resistance in medium-term, as 200 periods EMA in very long-term
4) It will convenient search for a double cross (10 & 21) or a triple cross (10, 21 & 55) to determine the medium-term change Downtrend to UpTrend (or viceversa)
5) Confirm the change patron with the Parabolic SAR and then identify potencials purchases or sales
6) Use Volume profile to detect potential supports or resistances areas, in order to set stop limit/loss and take profit orders.
Hope this helps!
Cheers,
FRANCRYPTO®
–––––– 0 ––––––
(ESP)
Este script consiste en mi propia estrategia para criptomonedas (pero puede adaptarse muy bien para acciones, forex, etc.)
Es la combinación de:
1) Cuatro Medias Móviles Exponenciales (EMA), configurables: por defecto son de 10, 21, 55 y 200 períodos en amarillo, turquesa, naranja y azul cada una de ellas
2) Sistema Parabolic SAR (PSAR), configurable
3) Perfil de Volumen (que fuera desarrollado por kv4coins - que ya me ha autorizado a su uso bajo las mismas condiciones de la Licencia OSS: MPL 2.0), configurable: con otros valores por defecto y soporte bilingüe para Español (SPA)
Cómo funciona
1) Siempre va a resultar mejor detectar velas japonesas específicas o patrones: doji , martillos o martillos invertidos , velas envolventes , patrón amanecer o atardecer , harami , velas gemelas , etcétera
2) La EMA de 10 y 21 períodos ayudan a identificar el comportamiento de corto plazo
3) La EMA de 55 períodos puede ser usada como un soporte o resistencia de mediano plazo, como así también, la EMA de 200 períodos en el muy largo plazo
4) Será conveniente buscar un doble cruce (10 & 21) o un triple cruce (10, 21 & 55) para determinar un cambio de la tendencia de mediano plazo de bajista hacia alcista (o viceversa)
5) Confirmá el patrón de cambio con la Parabólica de SAR y entonces identificá potenciales compras o ventas
6) Usá el perfil de volumen para detectar las potenciales zonas de soporte o resistencia, principalmente para establecer ordenes stop limit/loss o take profit.
¡Espero que pueda serles de utilidad!
Saludos,
FRANCRYPTO®
MACD EMA - TradingRush StrategyHey there!
Today I present you a rather simple, but very profitable MACD strategy. Since I trade it with cryptocurrencies, the settings have been adjusted.
I discovered the strategy on a YouTube channel and tried to transfer it as a strategy into a script.
Tested with the crypto pair ETH/USDT in the 15 minute chart.
There is the possibility to switch between short and long positions.
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How does the strategy work?
ENTRY
The MACD indicator must cross below the histogram. If it crosses when the price is below the EMA, only short positions are traded. Above the EMA - long.
EXIT
The Lowest Low (long) / highest high (short) serves as the stop loss. The TP is formed on the basis of a factor. (SL multiplied by factor 2.1 = TP).
The red lines are used to illustrate the SL. Above for short positions below for long positions.
The results of the strategy are without commissions and levers.
If you have any questions or feedback, please let me know in the comments.
If you need more information about the strategy and want to know exactly how to apply it, check out my profile.
I wish you good luck with the strategy!
All in One Strategy no RSI Label - For higher dollar cryptoThis is the All in One Strategy without the RSI suggestion label that will work well for any of the crypto currencies trading above $500 so the overlay shows up better. I am using ETH as an example on this.
Based on some comments on my previously published script that has been replaced I have added Alert Conditions to this version that can be used in other bots. You can also copy and paste these alert conditions into the other All in One script I published for the lower priced cryptocurrencies.
To use the alert conditions I have in here, you will need to convert this strategy into a study to do so. Delete the entry and exit logic at the end (lines 299 through 351), delete line 18 and paste the following in place of line 18:
study(shorttitle='Ain1 No Label',title='All in One Strategy no RSI Label', overlay=true, scale=scale.left)
Here are the settings to mimic what you see here in the back test strategy I am publishing. Remember that previous results do not guarantee future results.
Chart Time = 30 Minutes (if you didn't read my original All in One post, read it. Shorter isn't better. You lose your money faster in a shorter amount of time and I learned that the hard way)
Start Time = 1 April 2021 00:00
End Time = 31 December 2021 00:00
Trade Type = Long/Short
Stop Loss % = 20.1
Take Profit % = 14.57
RSI Length = 20
Overbought = 44
Oversold = 45
EMA Fast Length = 5
EMA Slow Length = 15
Overbought Lookback Minimum Value = 62
Overbought Lookback Bars = 3
Oversold Minimum Value = 43
Oversold Lookback Bars = 5
Source = Close
Max Lookback Period = 5
Use EMA Only = True (check the box)
K = 9
D = 17
K Mode = SMA
High Source = ohlc4
Low Source = ohlc4
Properties - Starting Amount is $3500, everything else is the same.
Any questions, feel free to ask. I will answer as soon as I can.
MACD Signal with RSI Indicating StrategyThis strategy looks for MACD signal crossover and RSI confirmation of oversold/overbought condition.
Tune to your crypto/stock for best results using the strategy and sent an alert. Currently set up to use 25% of equity at each buy signal and will sell 1/3 of position at each sell signal. Initial investment is $1000, but adjust as necessary.
Currently tuned to DOGEUSD on 30min chart.
If you like/use/profit, follow me or shoot me a donation. If you are looking for a script design, I can help.
Liquidation Levels
I got sick of calculating leverage all of the time, so I made this real time calculator. It is primarily for crypto derivatives.
It tracks and displays the liquidation price for 5 customisable leverage levels and plots them either historically and/or in real time, with labels beside each including the estimated price.
These calculations include maintenance margin and can be configured for linear futures (USDT) or non-linear futures. Never again make dumb mistakes that are obvious with a bit of maths.
To jazz it up, you can customise the colours, disable various labels, set different leverage multiples, and change the offsets and number of bars to plot in the past.
Alternatively, you can change the offset to 24 on an hourly chart and change show last bars to 0. By doing this, you can see which levels most often get liquidated. It is crude, I know, and there are better tools for tracking liquidation hunts. This is not an attempt to replace or compete with them.
Enjoy and trade safely.
Extremely Overfit Bitcoin Long/ShortThis is a highly overfit (in my opinion) script to long/short BTC on the 15m time frame. May be usable for other cryptocurrencies or timeframes with some parameter adjustments. I backtested it on a few exchanges with ETH.
The simplest way to increase the number of trades is to decrease the "FastChannelLength" parameter or increase the "SlowChannelLength" parameter, or both. Decreasing the margins of the channels also increases the number of trades. In GENERAL, you should expect that adding more trades will hurt profitability, because, as the title says, this script is extraordinarily overfit.
It does include a commission fee from the start, which I find is essential to not providing an overly rosy view of how a strategy would work.
USD Prices for Uniswap Token/WETHUniswap instrument prices are in WETH. This indicator translates the series to USD prices and plots the series as candles or as a line. Data is translated by using corresponding series data for ETHUSD. The reference ETHUSD price is from Coinbase.
Any token listed as a ETH/WETH pair could be specified as an input parameter. The default instrument value is set to UNISWAP: DPIWETH, an index created by indexcoop and tracking the DEFI basket.
The script is simple and easy to understand. It allows for quick conversion and comparisons and something we had to do in a custom way prior to this script. The crypto and DEFI community would benefit from it immensely. There is even a feature request for something like this on the tradingview subreddit.
Annualised Price Volatility % CRYPTO dailiesThis is the correct annualisation for crypto currencies (continually traded). It is the rolling 1m vol using 30 days (instead of 25) and an annualisation factor of sqrt(365) not sqrt(252).
Arbitrage Sniper (POC)Good Morning Traders!
Today I want to share with you the proof-of-concept of how you would be able to do arbitrage with crypto pairs.
THE INDICATOR MUST BE PLACED ON THE TRADING PAIR OF THE TWO CURRENCIES (i.e. ETH/BTC, EOS/ETH etc.)
This arbitrage method is based on the transitional decorrelation between the crypto treding pair and the price ratio of the involved currencies, of course computing commissions as well.
Whenever the non-arbitrage condition is not respected, there is an arbitrage oportunity.
This indicator won't consider the chance of shorting, so if the arbitrage oportunity occurs the indicator will suggest you just the chance of buying the relative-undervalued currency (but inside the code you will know how to do the alternative method as well, by shorting the relative-overvalued currency)
Let's take the trading pair ETH/BTC (as in the graph) → if we assume commissions for the 0.075% of the order, the non-arbitrage condition will be presented like this
This arbitrage method will need three orders, so n=3
So let's assume that P(ETH)/(P(BTC)*P(ETH/BTC))>(1-0.075)^(-3) → it means that the price of Ethereum is currently overreated enough (relatively to the trading pair) for doing arbitrage.
We have two alternatives:
• Buy BTC, change it into ETH (by "buying" ETH in the trading pair ETH/BTC) and then sell ETH
• Sell ETH, buy BTC, change it into ETH (by "buying" ETH in the trading pair ETH/BTC)
On the other hand, if P(ETH)/(P(BTC)*P(ETH/BTC))<(1-0.075)^(-3) → it means that the price of Ethereum is currently underrared enough (relatively to the trading pair) for doing arbitrage.
We have two alternatives:
• Buy ETH, change it into BTC (by "selling" ETH in the trading pair ETH/BTC) and then sell BTC
• Sell BTC, buy ETH, change it into BTC (by "selling" ETH in the trading pair ETH/BTC)
I'm saying that is nothing more than a proof-of-concept since:
- Arbitrage Oportunities will emerge frequently just nearly zero commissions
- Data of prices are retrieved using security() function and there can be some delay (so the arbitrage oportunity will be already extinguished by the time the signal is retrieved)
- In order to have the freshest data, repiainting will occurr
OBV Accumulation / Distribution Strategy CryptoThis version its made for 8-12h and works amazingly on the ETH pairs. Can be adapted to others as well
For this example, I used an initial 1$ account, using always full capital on each trade(without using any leverage), together with a 0.1% commission/fees for each deal, on Coinbase broker.
This is a long only strategy
The components for the inside of the strategy are the next one :
1. OBV Accumulation/Distribution
3. EMA
The rules here are simple : we check for cross up or above on OBV and EMAmoving average and after that we check for the trend direction based on ascending/descending OBV. Based on this we enter long or exit long.
RISK WARNING
Trading on any financial market involves a risk of loss. Please consider carefully if such trading is appropriate for you. Past performance is not indicative of future results.
If you have any questions or you are interested in trying it, private message me and I will give you as soon as I see the message a trial for it.
Realized Volatility (annualized for any time frame)Plots standard deviation of returns (realized volatility), and annualizes it for the selected timeframe. Suitable for forex/cryptocurrencies which trade 24/7.
BTC and ETH Long strategy - version 2I wrote my first article in May 2020. See below
BTC and ETH Long strategy - version1
After 6 months, it is now time to check the result of my script for the last 6 months.
XBTUSD (4H): 14/05/2020 --> 22/11/2020 = +78% in 4 trades
ETHXBT (4H): 14/05/2020 --> 22/11/2020 = +21% in 9 trades
ETHUSD (4H): 14/05/2020 --> 22/11/2020 = +90% in 6 trades
Using the signals from this strategy to trade manually has shown that this was a bit frustrating because of the low rate of winning trades.
If you have to enter 100 trades and see 75% of them failing and 25% winning, this is frustrating. For sure the strategy makes good money but it is difficult to hold this mentality.
So, I have reviewed and modified it to get a higher winning rate.
After few days of work, tests and validation, I managed to get a wining rate close to 60%.
The key element was also to decrease the number of trades by using a higher time frame. (4H candles instead of 2H candles).
- Entry in position is based on
MACD, EMA (20), SMA (100), SMA (200) moving up
AND EMA (20) > SMA (100)
AND SMA (100) > SMA (200)
- Exit the position if: Stoploss is reached OR EMA (20) crossUnder SMA (100)
The goal of this new script is to be able to follow the signals manually and only make few trades per years.
I have also validated it against some other altcoins where some are giving very good results.
Here are some results for 2020 (from 01/01/2020 until now (22/11/2020). Those results are the one I get when using 4H candles.
ETH/USD: +144% in 8 trades.
BTC/USD: +120% in 7 trades.
ETH/BTC: +33% in 9 trades.
ICX/USD: +123% in 10 trades.
LINK/USD: +155% in 11 trades.
MLN/USD: +388% in 8 trades.
ADA/USD: +180% in 7 trades.
LINK/BTC: +97% in 10 trades.
The best is that above results are without considering compound effect. If you re-invest all gains done in each new trade, this will give you the below results :)
ETH/USD: +189% in 8 trades.
BTC/USD: +260% in 7 trades.
ETH/BTC: +29% in 9 trades.
ICX/USD: +112% in 10 trades.
LINK/USD: +222% in 11 trades.
MLN/USD: +793% in 8 trades.
ADA/USD: +319% in 7 trades.
LINK/BTC: +103% in 10 trades.
As you can see, the results are good and the number of trades for 11 months is not big, which allows the trader to place orders manually.
But still, I'm lazy :), so, I have also coded this strategy in HaasScript language which allows you to automate this strategy using the HaasOnline software specialized in automated crypto trading.
I hope that this strategy will give you ideas or will be the starting point for your own strategy.
Let me know if you need more details.