Open source bitcoin price movement prediction engine.
V0.01 - Features
- Is it "going down" - tomorrow ( within 24hours) api backend classifier
- Get data from public sources (yahoo)
- Combine data with relevant influencers data ( Twitter for ) now
- Create a complete e2e backend classifier and ML pipeline
Currently using live streams from : Yahoo
$ pip install mlflow
Locally:
$ mlflow run .
From github:
$ mlflow run https://github.com/nlauchande/bitpred/
Using the id of the model and the model name you can run the following commnad :
$ mlflow models serve -m ./mlruns/0/b9ee36e80a934cef9cac3a0513db515c/artifacts/model_random_forest/
curl http://127.0.0.1:5000/invocations -H 'Content-Type: application/json' -d '{"data":[[1,1,1,1,0,1,1,1,0,1,1,1,0,0]]}' [1]%
You can modify the train.py file .