https://github.com/froggleston/cryptofrog-strategies

Strategies for freqtrade
https://github.com/froggleston/cryptofrog-strategies

Last synced: 3 months ago
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Strategies for freqtrade

• Host: GitHub
• URL: https://github.com/froggleston/cryptofrog-strategies
• Owner: froggleston
• License: apache-2.0
• Created: 2021-04-18T20:43:21.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-03-02T14:40:04.000Z (over 2 years ago)
• Last Synced: 2023-11-07T16:09:23.682Z (8 months ago)
• Language: Python
• Size: 151 KB
• Stars: 158
• Watchers: 25
• Forks: 35
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesomefreqtrade - froggleston

README

        
# cryptofrog-strategies

CryptoFrog - My First Strategy for freqtrade

**_DO NOT USE THIS FOR LIVE TRADING_**

# "Release" Notes

- 2021-04-26: The informatives branch now includes a big refactor to include new KAMA and Madrid Squeeze code. Hyperopting now in the main strategy. I'll pull this into main whenever I feel it's ready.

- 2021-04-20: You'll need the latest freqtrade develop branch otherwise you might see weird "supersell" results in your backtraces. Head to the freqtrade discord for more info.

Heavily borrowing ideas from:

- https://github.com/werkkrew/freqtrade-strategies : Amazing work on Solipsis that influenced my general framework and custom_stoploss

- https://github.com/brookmiles/freqtrade-stuff : Great Ichi based strat from Obelisk

- https://github.com/hansen1015/freqtrade_strategy/blob/main/heikin.py : Using the smoothed Heiken Ashi on the CryptoFrog 1hr informative timeframe

# Things to Know

- Fairly conservative strategy focusing on fewer buys and longer holds to find large peaks.

- Designed to trade altcoins against stablecoins, and I've used USDT intentionally to gain relative stability within BTC/ETH dump cycles

- Hyperopting is now available for most of the key indicator thresholds.

- Protections need to be enabled. I've included a basic template config - hit me up on the freqtrade discord for any info but no surprises expected really

- Included a live_plotting.ipynb notebook that can be used to immediately and easily view backtest results

# TODO

- Better buy signals

- Better informative pair work looking for BTC/ETH trends

- More testing

# Preprequisites

You'll need:

- Python 3.7+

- Jupyter Notebook for the live_plotting.ipynb

- finta

- TA-Lib (I run my bot on a Raspberry Pi 400, so you'll need to build TA-Lib as per the Freqtrade docs if you're doing the same)

- Pandas

- Numpy

- Pandas-TA indicator library

- ~~Solipsis_v4 custom_indicators.py (now included in this repo - thanks for the go-ahead @werkkrew)~~