… a passionate developer from Germany who likes working with APIs, data visualization and trading stocks and cryptocurrencies using automated trading strategies.
Topics related to project management, SD/QA, DevOps, CI/CD, Kubernetes, and distributed systems interest me a lot, and since I'm working at CONTACT Software GmbH I have the chance to learn, use, build and apply new techniques and frameworks with my great team every day.
| 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] |
python-cmethods  |
A collection of bias correction techniques written in Python - for climatic research. [Github] |
wavetrend-service  |
Containing the closed-source command-line tool "wavetrend" which uses the Kraken and Polygon.io APIs to apply a custom trading strategy. This tool runs as service in a private Kubernetes cluster and sends the detected long and short opportunities into the WavetrendSignalBroadcast Telegram channel. |
| genai |
Introducing a versatile command-line tool that seamlessly integrates a local Large Language Model (LLM) for generating prompts, which are then fed into a stable diffusion model executed locally. The result? Stunning designs and illustrations that are automatically uploaded to Redbubble and Spreadshirt for effortless sharing and showcasing. |
| 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] |
KrakenEx.jl  |
The KrakenEx.jl package is a collection of REST and websocket clients to access the Kraken Cryptocurrency Exchange API using Julia. [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] |
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
PyPI: https://pypi.org/user/btschwertfeger
Dockerhub: https://hub.docker.com/u/btschwertfeger