DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
One of the most critical application areas in the Financial Market especially sits on Stock Markets. In this area, the aim is trying to…
Discover the trading in Python with many strategies, including deep learning approaches. TradingInPython is an open software platform that empowers traders
Stock market indexes predictions have always been under the radar of stalwarts belonging from the domains of econometrics, statistics, and mathematics. This
Machine learning projects including SMS spam detection and stock movement prediction
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising
Algorithm for optimized Forex Trading using Ensemble of Deep Q-Learning Agents
Use Deep Learning techniques to trade in Chinese Financial Market. (Algorithm Trading)
Implementations of sparse matrix multiplication (SpMM) algorithms optimized for the Cerebras WSE-2. It explores performance trade-offs in spatial computing and
Code to Cash is an end-to-end algorithmic Forex trading system that harnesses deep learning to forecast currency movements and executes trades automatically
I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the…
MT5 factor mining, backtest, and web training UI
QuantWise is an advanced analytics platform merging machine learning with quantitative finance to deliver institutional-grade tools for retail investors. It
Machine Learning, Google Cloud and Quantitative Algorithms for Stocks Trading
Financial Literacy Gamification is a Minecraft-themed web app offering expert sessions, blogs, stock analysis games, and multi-player parties. It features a
1 Introduction LendingClub is a peer to peer lending company in which their product allows consumers to both invest and borrow loans. They offer…
End-to-end Financial Fraud Detection system on 6M+ transactions — EDA, custom feature engineering (balance error ratios, velocity flags), SMOTE for class
Course Materials, Jupyter Notebooks, and Python Scripts for MooCs, Machine Learning for Algorithmic Trading Bots 2019
Contains code and data for machine learning-based forex trading strategy
Technic analyzer with ML (RTF) and signal sender bot using telegram
PancakeSwap V2 Prediction Bot With Machine Learning Automated Strategy, Auto Betting, Auto Claim
The ultimate community for Betfair enthusiasts, traders, and tech-savvy bettors! Whether you’re new to the Betfair Exchange or a seasoned trader, this is your
An open source trading bot to leverage machine learning in the stock market
Stock Trading Bot using Machine Learning
Credit Risk Analysis with Machine Learning
This project detects fraudulent bank transactions using machine learning by analyzing patterns and anomalies. It enhances financial security and reduces fraud
A machine learning project designed to detect fraudulent credit card transactions. Utilizing advanced anomaly detection algorithms and data preprocessing
An experiment with Double Deep Q Networks algorithm applied to the FinRL trading environment (Pytorch)
Simulated markets based on Zero-Intelligence agent
Code repo for the paper "SpinQuant LLM quantization with learned rotations"
Unlock the power of machine learning for predicting loan approvals. This repository hosts code and resources to streamline the loan approval process. Data
Dynamic DeepHit is a novel machine learning model designed to handle time-varying covariates in the context of credit risk
Machine Learning Case Study on Credit Loans
Business Problem: Dataset of a bank with 10,000 customers measured lots of attributes of the customer and is seeing unusual churn rates at a…
Innovative solution for credit scoring leveraging machine learning to predict credit risk using The International Bank for Reconstruction and Development
Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include
A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used…
