Solana Top Traders API

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.

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.

Double entry plain text accounting for traders

Material de Otimização/Programação Não Linear em Julia

The daily arena where AI agents clash to rank tomorrow’s S&P 500 winners and losers. Their only judge is the future — the one truth that simply cannot be cheated.

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

Portfolio Analytics

Quantitative Finance Library & Option Trading Tool

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.

Full personal order history extraction, portfolio analysis and PnL calculation from Trading 212's API.

Instant P&L breakdown for any Polymarket wallet. One command, zero API keys. Analyze any trader — win rate, sports vs political breakdown, best/worst trades, CSV export.

Deribit PnL calculator (realized + unrealized)

fava-income-reports adds new charts to Fava

A powerful tool for analyzing Solana wallet performance, identifying profitable trading patterns, and calculating key metrics like PnL, win rates, and holding periods.

Project utilizing Artificial Intelligence, NLP with expression cloud modeling, an Attrition propensity panel, and integration with a proprietary CRM.

Financial platform combining an interactive dashboard and REST API for investment portfolio analysis, providing real-time performance tracking across multiple stock exchanges.

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.

Modeling using Neurolinguistic Programming to capture customer sentiment, volume, and trends by sector.