bideeen / Building-A-Trading-Strategy-With-PythonLinks
trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the reversion strategy. Firstly, the momentum strategy is also called divergence or trend trading. When you follow this strategy, you do so because you believe the movement of a quantity will continue in its curren…
☆60Updated 5 years ago
Alternatives and similar repositories for Building-A-Trading-Strategy-With-Python
Users that are interested in Building-A-Trading-Strategy-With-Python are comparing it to the libraries listed below
Sorting:
- Official Repository☆128Updated 3 years ago
- Find trading pairs with Machine Learning☆41Updated 4 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆67Updated 2 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆49Updated 5 years ago
- A python script that estimates the support and resistance lines of a stock's prices over a time period☆76Updated 4 years ago
- Example of adaptive trend following strategy based on Renko☆122Updated 6 years ago
- 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…☆44Updated 5 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆105Updated 6 years ago
- Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time seri…☆108Updated 4 years ago
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆70Updated last year
- quantitative - Quantitative finance back testing library☆64Updated 6 years ago
- Artificial Intelligence for Trading☆65Updated 2 years ago
- Source Codes for "Contrarian Trading Strategies in Python"☆78Updated 2 years ago
- Python code given in book Trading Pairs by Anjana Gupta.☆22Updated 4 years ago
- ☆71Updated 3 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 6 years ago
- Options Trader written in Python based off the ib_insync library.☆59Updated 2 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
- ☆75Updated last year
- Trend Prediction for High Frequency Trading☆43Updated 2 years ago
- Scalping day trading strategy☆42Updated 5 years ago
- ☆64Updated 2 years ago
- ☆49Updated 3 years ago
- A repository containing algo-trading strategies built for AutoTrader. See the website below.☆85Updated last year
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- Python codes used in book 'Option Greeks Strategies & Backtesting in Python'☆146Updated 4 years ago
- The notebook with the experiments to replicate and enhance the stock clustering proposed by Han(2022) for alogtrading, with KMeans Optimi…☆18Updated last year
- Pairs Trading with Alpaca - created on behalf of AlgoTrading101.com for alpaca.markets/learn☆18Updated 4 years ago
- Pair Trading Strategy using Machine Learning written in Python☆120Updated 3 years ago
- Code and data for my blogs☆91Updated 4 years ago