Corporate Financial Health Dashboard
A dashboard that based on financial statements, assess corporate financial health status, compares different industries and estimates overall market trends. … Continue readingCorporate Financial Health Dashboard
Author: Soli
A library of stochastic models for market calibration and pricing options
My StochasticModel python package is now publicly available on my GitHub and installable via PyPI. Install & use with: It
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Power flow analysis and optimization in electrical systems
Load Flow Analysis (LFA) is the computational backbone of power-system operations: solving the network’s nonlinear AC equations to determine bus
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AI LLM-based agents: create an expert for electronic circuit design
Large Language Models (LLMs) have evolved from text generators into powerful reasoning engines capable of assisting with specialized technical tasks.
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From 25% to 83% accuracy! LoRA fine tuning of FLAN T5 for finance, FinGPT part 2
In my opinion, the societal impact of efficient fine-tuning techniques matters even more than their technical importance. They help democratize
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Fine tuning and application of LLM in finance, FinGPT part 1
AI4Finance foundation has several interesting projects on application of AI in finance. One of them is FinGPT, which is introduced
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Reinforcement Learning, implementing Q Learning
Today, we implement a program based on reinforcement learning that uses Bellman Q-learning technique. The technique is based on updating
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Data analysis and cleaning
Credit scoring based on machine learning tutorial with two steps, the first one is preprocessing and cleaning data. … Continue readingData analysis and cleaning
10-K financial statements: analyzing companies’ reports with SEC EDGAR API
Get financial statements of US public companies from EDGAR API to calculate current ratio, leverage, P/E and inventory turnover … Continue reading10-K financial statements: analyzing companies’ reports with SEC EDGAR API
Delayed correlation analysis (MATLAB)
Last time we wrote a MATLAB code for determining variances, covariances, and correlations; and then building a portfolio with optimized