Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics

[PineScript] Dosyalar pek çok uygulama başlığına dair özgün, birbirinden bağımsız açık kaynak kodlarını içerir.

Double entry plain text accounting for traders

Export 15 years P&L and BS data from moneycontrol. Correlation analysis of various heads. Mean & Std. Graphs of YoY changes and projecting 10yr financials in python and exporting the data to Excel. Makes it easy for preparing Financial Models for Indian companies.

Material de Otimização/Programação Não Linear em Julia

P/L Timeline tracker addon for wealthica. This add-on helps to track your profit loss over a period of time. This add-on also shows the PnL change over different periods of time as-in 1 day PnL, WTD PnL, 1 month PnL etc.,

Portfolio Analytics

Manuel Touyaa's porfotlio of Python projects/assignments for Finance Market Risk.

fava-income-reports adds new charts to Fava

The application will classify positively or negatively the review that is entered, you can use different models in total 4 that were used to preprocess and train with data from the IMBD dataset.

Deribit PnL calculator (realized + unrealized)

Repo for offsite scale work

Python script for analyzing the financial records of the company. Analysis to the terminal and export a text file with the results.

Atividades do Curso Introdução a Machine Learning da Universidade Estadual do Ceará.

Applied algorithms on 10-year trading dataof Google stock to design trading strategies and make predictions based on the model built.

Procesamiento del lenguaje natural | Autocompletar un chat con diálogos de películas

Columbia FinTech Boot Camp - Two programs that leverage Python to perform financial analysis to summarize PnL data for a bank, and construct a quantitative sales report for a fictional company.

Sistema para procesar un relato de usuario y generar los microservicios posibles

An interactive Black-Scholes Option Pricing app built with Streamlit. Features include pricing heatmaps, P&L analysis, and mispricing visualization using market data. Users can explore how spot price, volatility, and other parameters impact option values and identify overvalued/undervalued options.

Tesis de finalización de Licenciatura en Ciencias de la Computación