dopevog / stockmarket-aiLinks
An AI program powered by an accurate algorithm that choses stocks that will go up in the next few days! Backtested & giving 100% ROI!
☆6Updated 4 years ago
Alternatives and similar repositories for stockmarket-ai
Users that are interested in stockmarket-ai are comparing it to the libraries listed below
Sorting:
- Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio …☆46Updated 3 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆34Updated 6 years ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆60Updated 5 years ago
- Stock investment can be one of the ways to manage one’s asset. Technical analysis is sometimes used in financial markets to assist trader…☆11Updated 4 years ago
- Backtest result archive for Momentum Trading Strategies☆59Updated 6 years ago
- Pair Trading Strategy using Machine Learning written in Python☆119Updated 3 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆47Updated 4 years ago
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆28Updated 6 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆65Updated 2 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
- A simple dashboard for graphing tensortrade simulations☆29Updated 4 years ago
- In this work an application of the Triple-Barrier Method and Meta-Labeling techniques is explored with XGBoost for the creation of a sent…☆20Updated last year
- Developing hybrid deep learning models by integrating Neural networks with (s,e,t)GARCH models to predict volatility in the Indian Commod…☆17Updated 4 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- A python script that estimates the support and resistance lines of a stock's prices or a period☆75Updated 4 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆103Updated 6 years ago
- Implementing a comprehensive Quantitative Momentum Strategy to optimize portfolio allocation. The strategy integrates two key financial i…☆12Updated last year
- Algo trading strategies implemented in python. In future along with rule based approaches, machine learning stragies are going to be inco…☆11Updated 2 years ago
- This project uses Python to create an optimally weighted stock portfolio by combining 7 common technical indicators, generating trading s…☆11Updated 2 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆42Updated 3 years ago
- Trend Prediction for High Frequency Trading☆42Updated 2 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 4 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆47Updated 5 years ago
- BANKNIFTY OPTION STRTEGY | BULL CALL SPREAD | ALGO TRADING with LIVE Execution☆23Updated 4 years ago
- Python code given in book Trading Pairs by Anjana Gupta.☆22Updated 4 years ago
- CS7641 Team project☆96Updated 4 years ago
- Tool that fetches company data, statistics, and financials for valuation and analysis, and then performs automated valuation analysis.☆24Updated 4 years ago
- Tracking S&P 500 index with deep learning model☆13Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 6 years ago
- Official Repository☆126Updated 3 years ago