DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
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
Facebook Messenger Chatbot integrated with Live Agent and Financial Services Cloud
Which of the following options best describes the role of Shared Hosting on a web server? Providing hosting for a single website owned by…
AdaGL is a deep learning optimizer that combines fractional-order calculus with adaptive techniques. Using Grünwald–Letnikov derivatives. It avoids local
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
Neuromorphic computing is a new technology which uses very-large-scale integration (VLSI) systems containing electrical analogs that mimic neurobiological
UI of stocknear - Open Source Stock Analysis
Bank chatbots can provide a range of services to customers, including account balance inquiries, transaction history, fund transfers, bill payments, loan
Streamlit chatbot for financial document analysis
A virtual assistant to assist traders with financial queries
This Guidance demonstrates how organizations in the Financial Service Industry (FSI) can modernize their claims processing using digital technologies, such as
Chatbot for Stream / Financial Institutions Powered by Stream Chat and Dialogflow
Advanced portfolio optimization framework combining Random Matrix Theory noise filtering, Tyler's M-Estimator, ensemble machine learning, and dynamic factor
Hedge fund replication via machine learning
In this project we try to predict future price from historical prices with data mining and time series analysis methods. Then based on these…
Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models
A Trading Robot developed in Python, using Deep Q Learning
A deep learning model for Financial Signal Representation and Trading
Bank Marketing Dataset Marketing Introduction: The process by which companies create value for customers and build strong customer relationships in order to
