… a passionate developer from Germany who likes working with APIs, data visualization and trading stocks and cryptocurrencies using automated trading strategies.
[PyPI]
[Dockerhub]
[GitLab]
[Stackoverflow]
| Project | Description |
|---|---|
python-kraken-sdk  |
The python-kraken-sdk is a collection of REST and websocket clients to access the Kraken cryptocurrency exchange API using Python.[Github] [PyPI] [Documentation] |
kraken-infinity-grid  |
An automated trading algorithm for the Kraken cryptocurrency exchange providing multiple grid trading strategies for mid- to long-term investments.[Github] [PyPI] [Documentation] |
python-cmethods  |
A collection of bias correction techniques written in Python - for climate research. [Github] [PyPI] [Conda Forge] [Documentation] |
wavetrend-service  |
Including the closed-source command-line tool "wavetrend" which uses the Kraken and yfinance APIs to apply a custom trading strategy based on fundamental data and momentum. This software runs as a service service and sends the detected long and short opportunities into the WavetrendSignalBroadcast Telegram channel. |
| Project | Description |
|---|---|
BiasAdjustCXX   |
BiasAdjustCXX is a command-line tool written in C++ that enables the fast and efficient computation of bias corrected time series climate data providing several scaling- and distribution-based techniques. [Github] |
kraken-rebalance-bot  |
These package is a simple trading bot that can be run using the command-line. It serves as supplement for the python-kraken-sdk. [Github] [PyPI] |
If you are interested in climatic processes or are looking for illustrative examples and learning content, several of my websites are listed below. They cover different topics and allow the dynamic visualization of different climatic processes and models: Daisy World Model, Orbital Theory of Ice Ages, Energy Balance Models, Fourcaults Pendulum, Brownian Motion, Random Systems, Growth Model