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Freqtrade Strategies That Work

Crypto Trading Strategies for the freqtrade.io trading bot

Install / Use

npx skills add paulcpk/freqtrade-strategies-that-work

Installs into whichever agent you are using.

About this skill

Quality Score

0/100

Supported Platforms

Universal

README

📈 Freqtrade Strategies That Work

Crypto Trading Strategies for the freqtrade.io trading bot

Disclaimer

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.

Installation

Copy and paste the strategies into ./user_data/strategies in your freqtrade repository.

Run them accordign to description. The strategies come with recommended settings.

Strategy Results

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 |

Credits

Some of the strategies were inspired by these amazing YouTube Channels:

For more strategy inspiration and reference, try the official freqtrade strategy repo:

Support

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

Related Skills

View on GitHub
GitHub Stars327
CategoryDevelopment
Updated7d ago
Forks77

Languages

Python

Security Score

100/100

Audited on Jul 31, 2026

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