DUCKQUANT / THE QUANT & AI DIRECTORY
1,058 resources, ranked by in-directory PageRank
A python Tk GUI that creates and interactively edits a Trading Journal formatted as a custom spreadsheet file.
This project is python scripts, which uses mainly robinhood's private API and dash feature from plotly for creating visualized trading journal.
This is a Trading Journal app made with React, Redux, Firestore and Apex Charts.
A simple trade journal app built with Python Flask.
Trading journal with statistical analysis and balance sheets.
The open-source trade journal. Broker sync, P&L calendar, deep analytics, and AI reflection. Self-hosted, MIT, free.
We present WCPP (Workload-Conditioned Physical Projection), a vendor-neutral, workload-conditioned, physically grounded framework for quantum device scoring. WCPP proceeds in three stages: each benchmark is…
Explore this resource at its source website for documentation and current information.
This report on counterparty data includes background of the project, reporting expectations, and observations by supervisors and from firms’ self-assessments.
SABR stochastic volatility model: calibration, implied-volatility surfaces and conditional Monte Carlo (MSc thesis, BSE)
Extended-hours trading is nothing new, but with more brokers offering 24/5 access, the stock market is becoming more global, accessible—and potentially volatile.
