SheikhRabiul / A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we pres…
☆91Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market
- 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
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 7 years ago
- 😲🤑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
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆79Updated 4 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable☆54Updated 5 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆44Updated 6 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆32Updated 6 years ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆151Updated 4 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 2 years ago
- Research and Backtests I have been working on...enjoy☆69Updated 3 years ago
- ☆38Updated 3 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆127Updated 2 years ago
- ☆123Updated 5 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 4 years ago
- A collection of notebooks I used in my Medium articles.☆133Updated 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
- Stock and Forex market prediction using ML and time-series modelling☆35Updated 6 years ago
- ☆185Updated 2 months ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Official Repository☆115Updated 3 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆25Updated 2 years ago
- ☆65Updated 6 years ago
- Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Mod…☆38Updated 3 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…☆58Updated 3 years ago
- Pair Trading Strategy using Machine Learning written in Python☆112Updated 2 years ago
- Python library to Fetch & Analyze Stock Market data.☆30Updated 6 years ago
- Sentiment Analysis of news on stock prices☆120Updated last year