rbhatia46 / Dual-Moving-Average-Crossover-Python
The famous and simple Dual Moving Average crossover strategy implemented in Python, and then backtesting it on 2 years of AAPL stock.
☆19Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Dual-Moving-Average-Crossover-Python
- Using Machine Learning for live currency trading☆36Updated 6 years ago
- Visual style support and resistance detection using Python code☆60Updated 5 years ago
- Project name- Super Trend Visulaization Author- Kanishka Narayan Description- Use this code to re-create a visulization application used …☆19Updated last year
- PutPremiumProcessor is a Python option screener with a custom formula to score options based on their risk to reward. I created this to f…☆19Updated last year
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆42Updated 4 years ago
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆41Updated 4 years ago
- A stock screener that detect consolidation based on Bollinger Bands and Keltner channels☆18Updated 4 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆55Updated 5 years ago
- 1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock.…☆60Updated last year
- Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.☆37Updated last year
- A financial trading method using machine learning.☆58Updated last year
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆60Updated 4 years ago
- A collection of notebooks I used in my Medium articles.☆133Updated 2 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 …☆56Updated 4 years ago
- Repository containing code for article: Quantconnect – A Complete Guide on https://algotrading101.com/☆13Updated 4 years ago
- Python library to Fetch & Analyze Stock Market data.☆30Updated 6 years ago
- List of portfolio management resources, using Reinforcement Learning.☆41Updated last year
- Python Jupyter Notebooks for Financial Portfolio Optimization☆32Updated 6 years ago
- A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.☆70Updated 4 years ago
- A trading bot utilized on the TD Ameritrade platform written in python and utilizing tda-api API.☆53Updated 4 years ago
- Screen stocks on fundamentals and estimate their intrinsic value☆61Updated 4 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆33Updated 2 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆44Updated 4 years ago
- materials from past webinars☆40Updated last year
- MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning bas…☆46Updated last year
- ☆47Updated 7 years ago
- Tools to calculate and plot support/resistance lines for OHLC datasets☆26Updated 6 years ago
- This notebook is devoted to exploring some aspects of the Capital Asset Pricing Model (CAPM) using Python☆18Updated 5 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆60Updated 4 years ago
- Portfolio optimization with cvxopt☆15Updated last year