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

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

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)~~