Sopcaja's repositories
GPT-InvestAR
Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models
DCF
Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
Loan_Amortization_Schedule
Creating a Loan Amortization Schedule with Prepayments using Python and Pandas
notebooks
atoti notebooks gallery
Awesome_AI4Finance
A collection of practical resources by the AI4Finance Foundation
awesome-systematic-trading
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Company-Analysis-Model
Documentation behind the model used to analyse companies in Simply Wall St
talipp
talipp - incremental technical analysis library for python
Axial-LOB-High-Frequency-Trading-with-Axial-Attention
Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'
Portfolio
How to think about selecting stock market funds
pytickersymbols
Fundamental stock data and yahoo/google ticker symbols for several indices.
machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
edgartools
Python library for working with SEC Edgar
AdvancedAnalyticsLabs
Analytics labs notebooks for Statistics and Business School students
Quantropy
Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.
Macroeconomic-Default-Analysis
Reassessment of P2P Credit Risk Modeling with Macroeconomic Factors
DROP
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
pystockfilter
Financial technical and fundamental analysis indicator library for pystockdb.
esg_risk_parity
Constructing a portfolio of crypto and stock assets utlizing ESG scores as well as machine learning models to predict buy / sell signals after establishing asset weights using hierarchical risk parity models.
Jupyter-Notebooks-1
Quantitative Risk Book
stonkBot
The first go at a stock trading bot using Alpaca API
alpaca_triangular_arbitrage_crypto
Triangular Arbitrage algotrading bot using Alpaca API
FinancePy
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
mlXVA
The repository of using machine learning to analysis xva profile
ISDA_SIMM
Implementation of ISDA SIMM v2.3~2.5