arshpreet / Hedge-Fund-stock-market-analysis
Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using histo…
☆61Updated 5 years ago
Alternatives and similar repositories for Hedge-Fund-stock-market-analysis:
Users that are interested in Hedge-Fund-stock-market-analysis are comparing it to the libraries listed below
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆66Updated 4 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆46Updated 4 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.☆88Updated last year
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆45Updated 4 years ago
- MIT Trading Competition algorithmic trading of options and securities☆41Updated 6 years ago
- This program analyzes unusual options activity by using a weighted average based on a trade's volume to compare all of the unusual otm op…☆64Updated 2 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆86Updated 4 years ago
- ☆54Updated 6 years ago
- Quantitative Finance using python - Derivatives Pricing☆43Updated 7 years ago
- Options Trader written in Python based off the ib_insync library.☆45Updated last year
- Vanilla option pricing and visualisation using Black-Scholes model in pure Python☆124Updated 2 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆65Updated 5 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- Find trading pairs with Machine Learning☆41Updated 3 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆101Updated 6 years ago
- Python Code for Option Analysis☆43Updated 6 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 years ago
- A Python based High Frequency Trading system that uses the Kite Connect API☆35Updated 7 years ago
- Implementations of Leading Algorithms in Quantitative Finance☆46Updated 7 years ago
- Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.☆38Updated last year
- ☆35Updated 3 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 4 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 4 years ago
- ☆24Updated 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 …☆57Updated 5 years ago
- quantitative - Quantitative finance back testing library☆63Updated 6 years ago
- ☆58Updated last year
- Repository containing code for article: Quantconnect – A Complete Guide on https://algotrading101.com/☆15Updated 4 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆31Updated 6 years ago
- Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio …☆43Updated 2 years ago