adeshpande3 / Quandl-Machine-LearningLinks
Using the Quandl API to (try) to apply ML to the stock market
☆13Updated 8 years ago
Alternatives and similar repositories for Quandl-Machine-Learning
Users that are interested in Quandl-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen…☆25Updated 7 years ago
- 📈 Stock embeddings based on PE context☆75Updated 8 years ago
- an implementation of reinforcement learning problem, stock prices☆10Updated 8 years ago
- RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ☆24Updated 11 years ago
- Tensorflow Recurrent Neural Network (RNN) model to analyse Time Series in GDELT News dataset to predict future events.☆30Updated 7 years ago
- A library for stock market analysis and automated trading, powered by sklearn.☆42Updated 9 years ago
- Estimating stock price correlations using Wikipedia☆25Updated 9 years ago
- Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history☆38Updated 8 years ago
- Pythonic S&P 500 Index Prediction (Portfolio Project at DSR)☆26Updated 10 years ago
- tabular q learning for trading☆12Updated 6 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- feng - feature engineering for machine-learning champions☆27Updated 8 years ago
- LSTM-based recurrent neural network which trains RNN on 30-day span of stock data, then accepts 30-day span to make prediction for the 31…☆9Updated 7 years ago
- [Recurrent Weighted Average](https://arxiv.org/abs/1703.01253) [Jared Ostmeyer et.al, 2017] heavily based on https://gist.github.com/sham…☆10Updated 8 years ago
- Predicting stocks with ML.☆43Updated 7 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆44Updated 6 years ago
- Python integration for Gradientzoo - version and share your trained neural network model weights☆12Updated 9 years ago
- Random Forest Learner to predict stock prices☆13Updated 11 years ago
- Kaggle competition results☆20Updated 6 years ago
- ☆11Updated 9 years ago
- Code for Kaggle's Default Loan Prediction - Imperial College London challenge.☆29Updated 11 years ago
- Assisting repository for the published paper investigating ensemble methods in algorithmic trading.☆44Updated 7 years ago
- ☆25Updated 9 years ago
- Python notebooks for demonstrating various ideas, APIs, libraries.☆32Updated 7 years ago
- Repository w/ Jupyter + R Notebooks for creating a model to predict the success of Reddit submissions with Keras.☆28Updated 8 years ago
- FMS, an agent-based Financial Market Simulator☆104Updated 13 years ago
- Recurrent Discounted Attention unit (RDA) for Tensorflow☆22Updated 7 years ago
- Generate images of neural network achitectures.☆19Updated 7 years ago
- Kaggle Seizure Prediction Competition☆20Updated 8 years ago
- L1 Trend Filtering☆19Updated last year