erichuang2013's Stars
bbalasub1/glmnet_python
aio-libs/async-timeout
asyncio-compatible timeout class
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
twopirllc/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
JnyJny/blynclight
Python bindings for the Embrava BlyncLight family of products.
aio-libs/aiokafka
asyncio client for kafka
mre/kafka-influxdb
High performance Kafka consumer for InfluxDB. Supports collectd message formats.
chrisconlan/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
ilgizar/ilgizar-candlestick-panel
Grafana candlestick panel plugin
socketio/socket.io
Realtime application framework (Node.JS server)
rapidsai/cudf
cuDF - GPU DataFrame Library
weld-project/weld
High-performance runtime for data analytics applications
bukosabino/ta
Technical Analysis Library using Pandas and Numpy
highfestiva/finplot
Performant and effortless finance plotting for Python
MauricioLetelier/Trading_And_Visualizations
All the code related to the article "An Easy Probabilistic Machine Learning Approach to Trading"
lmnt-com/haste
Haste: a fast, simple, and open RNN library
sieve-microservices/kshape
Python implementation of k-Shape
jankrepl/deepdow
Portfolio optimization with deep learning.
SigCGANs/Conditional-Sig-Wasserstein-GANs
jmfernandes/robin_stocks
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
apache/echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
kangchihlun/DeepTradeRiskEsti_TXF
Trading Strategy Using Keras/Tensorflow LSTM and Custom Loss Function
happynoom/DeepTrade
A LSTM model using Risk Estimation loss function for stock trades in market
liorsidi/sp500-stock-similarity-time-series
Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co-integration, Euclidean and Pearson.
MishaLaskin/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading
Using deep actor-critic model to learn best strategies in pair trading
Kismuz/btgym
Scalable, event-driven, deep-learning-friendly backtesting library
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
aapatel09/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
kymatio/kymatio
Wavelet scattering transforms in Python with GPU acceleration