charlescao2019 / capstone_stock_trading_policy_optimization-master
Stock investment can be one of the ways to manage one’s asset. Technical analysis is sometimes used in financial markets to assist traders make buying and selling decisions [1]. Many technical analysis trading rules are deterministic trading policies. [2] uses genetic algorithm to find technical trading rule. [3] studies evolutionary algorithms …
☆10Updated 4 years ago
Alternatives and similar repositories for capstone_stock_trading_policy_optimization-master:
Users that are interested in capstone_stock_trading_policy_optimization-master are comparing it to the libraries listed below
- ☆24Updated last year
- Trend Prediction for High Frequency Trading☆37Updated 2 years ago
- A financial trading method using machine learning.☆59Updated last year
- ☆42Updated 3 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆32Updated 4 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 5 years ago
- Algorithmic Portfolio Hedging. Black-Scholes Pricing for Dynamic Hedges to produce a Dynamic multi-asset Portfolio Hedging with the usage…☆49Updated 3 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 3 years ago
- 🤖💹 algorithmic trading strategy built backtested using backtrader and python, optimizing risk-adjusted returns with a bollinger mean-re…☆13Updated 4 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆40Updated 2 years ago
- Developing hybrid deep learning models by integrating Neural networks with (s,e,t)GARCH models to predict volatility in the Indian Commod…☆15Updated 3 years ago
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆14Updated 6 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 4 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 5 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆14Updated 5 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆65Updated 5 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆36Updated 3 years ago
- To create a data-web application deployed using the azure app service, which was made on Streamlit, the leading Pythonic data application…☆10Updated 2 years ago
- Automated trading bot with Functional GUI using an integrated deep learning model to predict stock prices and flag buy and sell periods.☆12Updated 3 years ago
- Find trading pairs with Machine Learning☆41Updated 3 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 4 years ago
- A python script that estimates the support and resistance lines of a stock's prices or a period☆71Updated 3 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- ☆23Updated 4 years ago
- Bitmex orderbooks saving + (neural) trading signal generator + backtesting etc.☆34Updated 2 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆30Updated 5 years ago
- Particle swarm optimization (PSO) in algorithmic trading example using Backtrader backtesting framework.☆19Updated 4 years ago