javifalces's starred repositories
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
quantstats
Portfolio analytics for quants, written in Python
exchange-core
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Disruptor-net
Port of LMAX Disruptor to .NET
zipline-reloaded
Zipline, a Pythonic Algorithmic Trading Library
ParquetViewer
Simple Windows desktop application for viewing & querying Apache Parquet files
VisualHFT
VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynamics and execution quality. Its modular design ensures adaptability for developers and traders, enabling tailored analytical solutions.
microprediction
If you can measure it, consider it predicted
alphalens-reloaded
Performance analysis of predictive (alpha) stock factors
Stock-Trading-Visualization
A simple, yet elegant visualization of our stock trading RL agent environment.
java-timeseries
Time series analysis in Java
HFTFramework
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
java-reinforcement-learning
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
3D_order_book
Example 3D order book visualiser for crypto markets.
daikin_madoka
Home Assistant custom component integration for the BRC1H thermostat (madoka)
Java-Deep-Learning-Cookbook
Java Deep Learning Cookbook, published by Packt
Tindeq-Progressor-climbing-strength-test-server
A python and bokeh application that creates a user interface to run climbing strength tests, that can store, visualize and send results
webapp-rl4j
webapp for rl4j in scala to monitor doom learning
PCAVasicek
The Vasicek model is a mathematical model describing the evolution of interest rates. I explained how to use principal component analysis (PCA) for the interest rate models. I demonstrated how to calibrate Vasiceck model and how to run Monte Carlo simulations for Vasicek model. https://youtu.be/TrEnSQ2Pms4