Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
47,133 repositories indexed
25–48 of 60 · Most stars
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
R kernel for Jupyter
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Neural question generation using transformers
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Python API for Deequ
Pathology Foundation Model - Nature Medicine
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
The repository host gives no description.
Reference mapping for single-cell genomics
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Deep Reinforcement Learning for de-novo Drug Design
The repository host gives no description.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
scPerturb: A resource and a python/R tool for single-cell perturbation data
Analysis of High Frequency Trading on Bitcoin exchanges
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
An interactive Quiz generator for Jupyter notebooks and Jupyter Book
🏃 The go-to single-cell Foundation Model
Quantitative Economics