DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 1,585–1,620 of 14,444 resources
Python - Multi-agent LLM trading analysis where 12 AI agents (analysts, debaters, risk manager) debate stock picks in real-time, supporting US equities and
Python - TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance
Python - Deterministic SEC filing analytics for 10-K/10-Q: section extraction, tone and boilerplate metrics, year-over-year diff, and reproducible disclosure
Multi-agent paper-trading framework where LLM agents author orders and a separate broker process enforces fifteen fill-time safety rails; each fill is stamped…
Conversational multi-agent quant framework where agents rank currently-effective factors for entry timing (time-series rank IC), write complete strategy code…
Sparse multi-asset factor models with cell-level sign constraints, prior-centred shrinkage, and hierarchical clustering group LASSO (HCGL); scikit-learn…
AI trading operating system with 9 ML models (RF, XGBoost, EMAformer, MOIRAI-2, Chronos-2, DDPM, PPO RL, GNN, LR) ranked by Sharpe ratio, Claude AI…
TypeScript DeepSeek Harness - Agent-native quantitative research toolkit for DeepSeek Harness: 46 tools across data, alpha, ML, risk, execution and ecosystem
Python - A reasoning & decision-trace visible Multi-agent LLM trading-research framework where bull/bear analysts debate each ticker and every decision cites
AI-powered trading edge discovery platform that validates trading ideas with event studies, statistical tests, and real market data. Web app, MCP server, CLI…
Yu, Y., et al. (2023). FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design. arXiv preprint arXiv:2311.13743
Peng, Khushi, Poon — CAST: A Cross-Asset State-Space Trading System for Drawdown Control in Stock Markets, ICDM 2026. , . Source of the objective…
investpy - Python - Financial Data Extraction from Investing.com with Python! https://investpy.readthedocs.io/ .
akshare - Python - AkShare is an elegant and simple financial data interface library for Python, built for human beings! https://akshare.readthedocs.io .
A three-stage fine-tuning pipeline (SFT DPO synthetic-data RL) that adapts Qwen2.5 and DeepSeek-R1 to financial tasks on the Open FinLLM Leaderboard, with…
for Equity Research Report Generation — Authors: Song Jin, Shuqi Li, Shukun Zhang, Rui Yan. While LLMs have shown great success in financial tasks…
Notes and experiments on machine learning applied to quantitative analysis.
Sven Buechel, Simon Junker, Thore Schlaak, Claus Michelsen and Udo Hahn. . In EMNLP-ECONLP, 2019
Tuan Lai, Trung Bui, Sheng Li and Nedim Lipka. . In ACL-ECONLP, 2018
Hummingbot offers several frameworks for building and running algorithmic trading strategies — see the Strategies docs for a full overview
Explore this resource at its source website for documentation and current information.
Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder, Lena Dankin, Yonatan Bilu, Yoav Katz and Noam Slonim. . In EMNLP-ECONLP, 2019
Berke Oral, Erdem Emekligil, Seçil Arslan and Gülşen Eryiğit. . In EMNLP-ECONLP, 2019
Kiyoshi Izumi and Hiroki Sakaji. . In FinNLP, 2019
Jared Rivera, Jan Caleb Oliver Pensica, Jolene Valenzuela, Alfonso Secuya and Charibeth Cheng. . In EMNLP-ECONLP, 2019
Deli Chen, Shuming Ma, Keiko Harimoto, Ruihan Bao, Qi Su and Xu Sun. . In EMNLP-ECONLP, 2019
João Filgueiras, Luís Barbosa, Gil Rocha, Henrique Lopes Cardoso, Luís Paulo Reis, João Pedro Machado and Ana Maria Oliveira. . In EMNLP-ECONLP, 2019
Tobias Daudert and Sina Ahmadi. . In In EMNLP-ECONLP, 2019
Narges Tabari, Piyusha Biswas, Bhanu Praneeth, Armin Seyeditabari, Mirsad Hadzikadic and Wlodek Zadrozny. . In ACL-ECONLP, 2018
Armineh Nourbakhsh and Grace Bang. . In KDD-ADF, 2019
Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong and Zhifei Li. . In EMNLP 2019
Sian Gooding and Ted Briscoe. . In NoDaLiDa-FNLP, 2019
February 7th, 2020, New York, NY, USA
Tobias Daudert, Paul Buitelaar and Sapna Negi. . In ACL-ECONLP, 2018
Sebastian G.M. Händschke, Sven Buechel, Jan Goldenstein, Philipp Poschmann, Tinghui Duan, Peter Walgenbach and Udo Hahn. . In ACL-ECONLP, 2018
Ananth Balashankar, Sunandan Chakraborty and Lakshminarayanan Subramanian. . In ACL-ECONLP, 2018
