Detecting potential alphagen signals through text analytics and sentiment analysis
Pairs-Trading Strategies Using ML & Alternative Data
Improving the flaws of conventional Value and 'dumb' Momentum with an additional element of NLP driven sentiments
A lifelong deep learning algorithmic trading tool
Long-Short Term Memory Forecasting of stock data using NLP
Fundamental algorithmic strategies
Attempt to use unsupervised learning in price prediction
Predicting the trends in Forex Pairs
using sentiment to predict price movement in China
We used news sentiment data to create a trading strategy
Simple Relative Performance Measurement
A state-of-the-art RNN LSTM to predict stock prices
MACD algo for semiconductor industry
Based on Fama-French model, build a model with 3 significant factors and apply machine learning to generate alpha
We wanted to know how peoples' sentiments, as well as headlines in the news impact the market movements.
Use ML to analysis the impacts of various events to company's stock price and use it to predict future price change
Using sentiment from social media, newscraper and historical data for a companies performance to predict stock price.
SVM Regressor, Sentiment Analysis
Algorithmic trading model using Quandl datasets to get trading signals
Trading strategy explained in the form of Momentum Robot and Modified VaR
Predicting Share Prices with Social Media Engagement
Alpha Gen
The hackathon was more of a learning experience for me! I've been reading up to get a grasp of basic ML :)
Using Ornstein–Uhlenbeck process to model price of an unknown security
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