DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 7,525–7,560 of 14,444 resources
Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
Repository for "Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks"
Benchmarking LLMs and Agents in Rigorous Financial Analysis and Forecast
A symbolic benchmark for verifiable chain-of-thought financial reasoning. Includes executable templates, 58 topics across 12 domains, and ChainEval metrics
Official implementation of DGDNN: Decoupled graph diffusion neural network for stock movement prediction. 16th International Conference on Agents and
Use NLP to predict stock price movement associated with news
Deep Learning – Artificial Neural Network Using TensorFlow In Python
Portfolio management using Actor-Critic Deep Reinforcement Learning algorithms including A2C, DDPG, and PPO
Family-aware evolutionary alpha mining with LLM-guided symbolic hybridization
Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. Generated features from
Financial Time Series Forecasting using Deep Learning Techniques and Innovative Image Encoding Approaches
PhD Thesis: "Data Science in the Modeling and Forecasting of Financial Timeseries: from Classic methodologies to Deep Learning"
Option Pricing, Volatility Prediction, Machine Learning, Black Scholas, Web Crawling
A financial market analysis pipeline with technical indicators, machine learning, and charts
Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions
Mlfin.py is an advance Machine Learning toolbox for financial applications in Python
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction…
Robust Market Making via Adversarial Reinforcement Learning
This repository contains the main code used in the paper "Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model"
Optimal control of risk aversion in Avellaneda Stoikov high frequency market making model with Soft Actor Critic reinforcement learning
Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning
The Financial Audit Data Analytics Paper Collection is an academic paper collection that encompasses data analytics, machine learning, and deep learning papers
PeakPulse AI — Real-Time Financial Market Anomaly Detection & Time-Series Machine Learning Engine
Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators
Market Making via Reinforcement Learning
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting
OpenAI gym environments for training RL Agents on @OpenBB-finance Data
Trading multiple stocks using custom gym environment and custom neural network with StableBaselines3
A simple, yet elegant visualization of our stock trading RL agent environment
Open source code of the paper: "OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain"
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
Tickr-agent is an enterprise-ready, scalable Python library for building swarms of financial agents that conduct comprehensive stock analysis and produce
TradingView webhook bot for manual traders – execute alerts on Binance, Bybit, OKX, and Hyperliquid with risk limits, TP/SL, trailing stop, and optional AI
Okx trading bot okx agent mcp cli cryptocurrency okx api automated trading typescript okx trading bot model context protocol cursor ai trading crypto spot
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the…
Algorithmic Trading using Sentiment Analysis on News Articles
