DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 9,865–9,900 of 14,444 resources
Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
Social Marketplace Automotive Risk Engine Project (sponsored by Statefarm)
Production-grade open-source Market Risk Engine 🚀💹 – Full-stack FastAPI (Python) + React 19/TypeScript with a sleek fintech dark-theme dashboard.Compute VaR & CVaR via multiple…
On-premise risk engine for Keycloak Adaptive MFA: scores authentication attempts against 19 configurable signals with local ML inference and returns a step-up decision.
15-strategy algorithmic paper trading platform on AWS EC2 — systemd-supervised Python services, risk engine with kill-lines, market regime detection, and automated analytics pipeline
PERE – PE Risk Engine
OrbitShield predicts satellite collision risk in real time by ingesting live orbital data, propagating positions with SGP4, and scoring close-approach risk between tracked objects.
Algorithmic market maker for binary prediction markets (Polymarket CLOB V2, Kalshi) with Avellaneda-Stoikov pricing adapted for binaries, cross-venue delta hedging via Hyperliquid, real EIP-712/RSA-PSS…
🛡️ Omniclaw v4.5.2: The Sovereign Sentinel Hybrid Hive AI Agent System. Autonomous cybersecurity orchestration with eBPF Kernel Bridge, Risk Engine, and Advanced Security Toolkit.
Open-Source ISMS für Multi-Framework-Compliance: ISO 27001:2022, BSI IT-Grundschutz, NIS-2, DORA, DSGVO/GDPR, TISAX. Multi-Tenant, 93 Annex-A-Controls, Risk-Engine, tamper-evidenter Audit-Trail. Symfony 7.4 / PHP 8.4.
This is a dashboard designed to visualize institutional options flow, Greek exposure, and market sentiment in real-time
Automated hourly options flow, GEX profiling, and SD-range analysis for Gold, S&P 500, and NASDAQ futures.
Python code for rolling Value at Risk(VaR) of fiancial assets and some of economic time series, based on the procedure proposed by Hull &…
Conditional Value-at-Risk (CVaR) portfolio optimization benchmark problems for fully general Monte Carlo distributions and derivatives portfolios.
Implementation of a variety of Value-at-Risk backtests
Simulating financial markets using Geometric Brownian Motion (GBM), Monte Carlo methods, and risk metrics like Value at Risk (VaR)
Real-time options flow intelligence platform designed to decode smart-money behavior, score trade conviction, and generate actionable trading signals. It analyzes institutional options activity, applies…
A high-performance, real-time options analytics dashboard built with Python, Streamlit, Plotly, and Schwab Streaming WebSockets. The application provides institutional-grade market intelligence by combining live…
6 Claude Code skills for individual investors: options flow scanner (lottery-call filter), stop-loss monitor, earnings risk check, sector rotation, position classifier. Free tier included.
🪨⚡ Rare-Earth & Critical Minerals Supply Chain Risk Engine | Production-grade Claude Code harness & Python risk engine (tools/risk_engine.py v1.1.0) for critical mineral geoeconomics.…
Free, keyless JSON API for SEC EDGAR filings — endpoints, curl examples, and gotchas.
Public repository by mskpairprogrammer. Primary language: Python.
A multi-agent SEC filing "material change" analyst - it pulls a company's current + prior 10-K/10-Q from the free SEC EDGAR API, diffs the…
SEC dividend data parser with intelligent validation. Processes XBRL JSON from the SEC EDGAR API to build a clean dividend payment database. Powers the…
query SEC EDGAR API by company concept using python and a serverless flask route
MCP Server to connect to SEC Edgar API
Fetch and parse SEC earnings reports and other filings. Useful for financial analysis.
This script is to download 10-k filing textual data (.htm) through Sec Edgar API, and scrape specific sections (items).
🤖 Unofficial SEC EDGAR API wrapper for Python
A fast, Python-based options scanning engine for NASDAQ & S&P500 stocks. It fetches real-time option chains, computes full Greeks and implied volatility, detects mispriced…
An AI-powered stock breakout scanner. Chat in plain English to find insider buys, government contracts, unusual options activity, and earnings catalysts using live web…
3-model ensemble anomaly detection system (Isolation Forest, LSTM Autoencoder, DBSCAN) on 2.5M+ real NSE/BSE F&O trading records. Detects unusual option activity using 7 engineered…
Suspicious options flow and catalyst detection for U.S. equities: clusters unusual options activity into flow events, scores how abnormal and how unexplained each one…
Machine learning-based options-flow research platform that integrates market-data APIs, ingests and transforms raw options-flow data, XGBoost trading signals, and ranks unusual options activity for…
AI-powered stock prediction lab focused on Fail-to-Deliver data, volatility cycles, and unusual options activity. Built for fun, profit, and a little chaos.
