DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
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Machine Learning System for Loan Assessment
An end to end Machine Learning Case Study, which focusses on building a predictive model by leveraging the dataset provide by Home Credit Group…
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
A flexible, intuitive and fast forecasting library.
chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems
Cloud computing (CC) has recently been receiving tremendous attention from the IT trade and educational researchers. CC leverages its distinctive services to
Option pricing and Delta hedging performance comparison between Black and Scholes vs Artificial Neural Network
code scripts for Volatility Forecasting with Machine Learning and Intraday Commonality
Propose optimal business strategy for a volatile real-estate market. Used machine learning algorithms to forecast listing and rental prices in local markets
The course, authored by Prof. Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active
Trading Strategies based on the gap between Implied and Realized Volatility: A machine learning approach
We explore the application of Machine Learning for predicting the return of the stock by using the information of stock returns. A trading strategy…
This repository features data science projects focused on financial data analysis and forecasting. The projects apply machine learning algorithms to analyze
Image Classification for Trading Strategies - Project for Machine Learning Class
Python library to implement advanced trading strategies using machine learning and perform backtesting
Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance
Forecasting Apple Inc stock prices using hybrid method of EMD (Empirical Mode Decomposition) and various machine learning algorithms such as ARIMA, RNN
Interactive data science and machine learning dashboards on the stock market analysis and making predictions for companies' stock prices
In this project first we fetch data of any stock(NSE) in realtime then we evaluate the stock price using basics visualizations then we Predicting…
Prediction of Soybean stock prices using LSTM with data from CBOT Soybean Futures + (2015 USA Weather Avg, Max, Min by USDA-NASS-soybeans-production
S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models
Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
Stock Price Prediction using Machine Learning Techniques
With WWW being the global platform, various fields inclusive to the same have emerged until hitherto. Due to ever-changing forms of cyber Security, it…
The basis of this project involves analyzing Amgen future profitability based on its current business environment and financial performance. Technical
It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods
Accompanying code to my master thesis: "Neural Network assisted Option Pricing under Rough Volatility: An Empirical Validation"
Implied volatility is a key aspect when it comes to derivatives pricing. With the growing influence of machine learning in finance, I have investigated…
A powerful machine learning and AI system for constructing sustainable strategies for financial trading
Machine Learning Algo using Knearest Neighbors model on VXX trading strategy
Machine Learning Project to Optimize Stock Trading Strategies Using Reinforcement Learning
Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression
Time-Series Forecasting on Stock Prices using LSTM
Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price
The first agentic payment network: policy-controlled, gasless, and real money-ready. OmniClaw CLI + Financial Policy Engine let autonomous agents pay and earn
