Crypto Trading Strategies for the freqtrade.io trading bot
WARNING These strategies are highly experimental and for educational purposes only. Use at your own risk. The author assumes no responsibility for your trading results.
Copy and paste the strategies into ./user_data/strategies
in your freqtrade repository.
Run them accordign to description. The strategies come with recommended settings.
The strategies were tested on the 1h
timeframe, from 2018-03-01 to 2020-03-01 on the following set of assets:
[
"BTC/USDT",
"LTC/USDT",
"ETH/USDT",
"XRP/USDT",
"ADA/USDT",
"XLM/USDT",
"XMR/USDT",
"DASH/USDT"
]
Strategy | Buy count | AVG profit % | Total profit % | Timeframe | Backtest period |
---|---|---|---|---|---|
EMAPriceCrossoverWithThreshold.py | 272 | 1.31 | 118.53 | 1h | 2018-03-01 to 2020-03-01 |
DoubleEMACrossoverWithTrend.py | 655 | 0.56 | 122.50 | 1h | 2018-03-01 to 2020-03-01 |
MACDCrossoverWithTrend.py | 300 | 0.49 | 49.42 | 1h | 2018-03-01 to 2020-03-01 |
RSIDirectionalWithTrendSlow.py | 108 | 0.91 | 32.75 | 1h | 2018-03-01 to 2020-03-01 |
RSIDirectionalWithTrend.py | 181 | 0.27 | 16.16 | 1h | 2018-03-01 to 2020-03-01 |
Some of the strategies were inspired by these amazing YouTube Channels:
For more strategy inspiration and reference, try the official freqtrade strategy repo:
If this was of help to you, consider buying me a cup of coffee. Support is much appreciated as it helps me to publish more stuff like this.
- BTC:
1KAa2twgCYz8g5Y4fFkercG7criWHi5Bxa
- ETH:
0xd91d1615c7Bc766A4AF5E9ee0684aE325bEC2261
- XLM:
GCSFATTGKQYIYGMHU57ACEQLYROPHJRNIIECEBSWWOZTGTAWHIAOV5ES