DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
AI-native FP&A software for finance teams who've outgrown spreadsheets and rigid tools. Build forecasts, budgets, headcount plans, and scenarios in minutes. Let AI handle…
Autonomous AP automation for finance teams. Independent 5-dimension score and pricing, plus the full breakdown — verified May 2026.
AI tax assistant for individuals and accountants. Independent 5-dimension score and pricing, plus the full breakdown — verified May 2026.
AI tax assistant for tax pros & accountants. Boost productivity by 10x. Automate tax preparation, tax research, get cited tax answers in seconds, draft…
Autonomous AI negotiation for supplier contracts. Independent 5-dimension score and pricing, plus the full breakdown — verified May 2026.
Pactum digital workers run indirect procurement from intake to purchase order, guided by your policies and strategy.
Lexion helps operations teams get deals done faster. See how you can accelerate sales, procurement, legal, HR, security reviews, and more.
Leah, formerly ContractPodAi, is the agentic AI platform that runs contracting, legal, and procurement end to end. See how enterprises Get to Great.
The comprehensive solution for all your reporting and cash flow forecasting needs. Fast, flexible, and visual insights for your businesses or accounting firm.
High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Democratizing Internet-scale financial data.
Scalable and user friendly neural :brain: forecasting algorithms.
BERT for Finance : UC Berkeley MIDS w266 Final Project
FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts.…
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment…
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of…
An environment to high-frequency trading agents under reinforcement learning
Trying to create Reinforcement Learning powered Bitcoin trading bot
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple…
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by…
Team Kinetiz AutonomousRacing League Find Out More Eneron Magnus AI-Powered Armoured Beast Find Out More Redefining Robotics for a Smarter Future Find Out More…
A repo dedicated to building and making insights on financial data using the powerful tools of Machine Learning and AI.
An End-to-end LSTM deep learning model to predict FX rate and then use it in an algorithmic trading bot
trials: Select and Trade — unified pair trading with hierarchical reinforcement learning (arXiv:2301.10724)
mbtgym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-frequency trading…
notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn…
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double…
lstm model using keras to predict msft prices. Data is from which provides some free data through web services. Showing how to use concatenation…
Applying Deep Learning and NLP in Quantitative Trading
implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being…
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language.
Pretrained LLM Adapted with LoRA as a Decision Transformer for Offline RL in Quantitative Trading.
Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts.
