Transparent and Efficient Financial Analysis
-
Updated
Feb 14, 2025 - Python
Transparent and Efficient Financial Analysis
A program for financial portfolio management, analysis and optimisation.
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
ESC Team's credit scorecard tools.
Twelve Data Python Client - Financial data API & WebSocket
Python interface to IEX and IEX cloud APIs
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy 🔥
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
Guia de ejemplos didácticos en python temática finanzas bolsa trading argentina usa
Pipeline Extension for Live Trading
A sentiment analyzer package for financial assets and securities utilizing GPT models.
A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.
(e2e) foss trading for non-tinas
Python script to extract as much structured information as possible from annual/quarterly reports.
Amazon SageMaker Solution for explaining credit decisions.
FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.
A fully automated script to download and update NSE EOD Historical stock, index and delivery data with added features
Analysis of financial instruments
JPMorgan Chase & Co. Software Engineering Virtual Internship tasks [ patch files submission ] solutions
In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, data handling, and simple trading strategies.
Add a description, image, and links to the financial-analysis topic page so that developers can more easily learn about it.
To associate your repository with the financial-analysis topic, visit your repo's landing page and select "manage topics."