A Deep Graph-based Toolbox for Fraud Detection
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Updated
Apr 20, 2022 - Python
A Deep Graph-based Toolbox for Fraud Detection
Machine learning models for time series analysis
Applications of Monte Carlo methods to financial engineering projects, in Python.
Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
Python Financial ENGineering (PyFENG package in PyPI.org)
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
Markowitz portfolio optimization on synthetic and real stocks
Better backtest toolkit for Uniswap v3 and Aave.
Hedging unsing Deep Reinforcement Learning and Deep Learning
'Portfolio Analysis, methods for portfolio optimization'
Yahoo Finance Python Interface
Quant finance Portal based on project BearAlpha. This project contains strategy back test framework with backtrader, database construct with BearAlpha, factor analyze based on BearAlpha, and financial researches on paper or report with research
Portfolio optimization package in Python.
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
exotx provides a simple and user-friendly interface for pricing and analyzing financial derivatives using QuantLib's advanced numerical methods.
Desktop application for theoretical visualization of financial derivatives, using PyQT, Cython, and OpenGL.
실전 금융 머신러닝 완벽 분석 / Advances in Financial Machine Learning
S&P 500 stocks data scrape from yahoo finance then calculate and analysis the Beta value against S&P daily % change. The 10% highest beta will queued for buy and lowest 10% going for sell using a conditional checking of Black Swan identification. Finally plot the resultant graph from Portfolio table.
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