Description
This strategy has been designed for Cryptocurrencies enthusiasts as it has been made to operate on the BTC/ETH Market.
+168% from December 8th to December 31st !
About the strategy:
Aiming to make medium-term (a few hours/a few days) trades, this strategy tries to make the most of the volatility of both the BTC and the ETC market.
It embodies a mechanism to buy where it identifies a low and to sell at a maximum, just after the rebound of the price.
It uses the RSI indicator and some personal built-in logic to make decisions. The relative strength index (RSI) is a momentum indicator that compares the magnitude of recent gains and losses over a specified time period to measure speed and change of price movements. The RSI is based on an interval of 5.
About the author:
Hi ! My name is UG !
I’ve written several profitable strategies in the past few months. This one has the best ROI in the ETH/BTC Market so far. It should be also profitable on other coin/coin markets with other altcoins.
Living in Belgium, I have a strong interest in Finance and Cryptocurrencies for several years and I am a professional programmer.
The backtest result screenshot is guaranteed as genuine by GekkO StrAteGies
Backtesting operated on 18/01/2018
Backtesting environment:
Exchange: Poloniex – Currency: BTC – Asset: ETH
From: 2017-12-08 00:00:00 – To: 2017-12-31 23:59:00
Candle Size: 1 Minute – Warmup Period : 10 candles
The backtesting environment was adviced by the author of the strategy
Paper Trade environmentr:
Maker fees: 0.25% – Taker fees: 0.25% – Slippage: 0.05
Asset : 0 – Currency : 1
The paper trader environment is set by GekkO StrAteGies
Backtest result:
Market : +115.5%
Strategy : +168.2%
Disclamer:
This strategy is a javascript file to be used with the bitcoin trading bot Gekko. No support is given on how to run Gekko beside what can find in our FAQ question. The performances displayed in our backtests are most of the time not replicable with other data sets than the one clearly specified hereafter and/or on exchange platform.
In order to protect author’s intellectual property, the code is obfuscate and minified.
Backtesting is done with Gekko v0.5.11.
Past performances and volatilities are no guarantee of future ones and are not constant over time. GekkO StrAteGies advise against running the strategies on live market.
