Alternatives and similar repositories for Analysis-On-Relation-Between-Real-time-News-Sentiment-And-Stock-Market-Portfolio:

Users that are interested in Analysis-On-Relation-Between-Real-time-News-Sentiment-And-Stock-Market-Portfolio are comparing it to the libraries listed below

• lucaskienast / NLP-on-10Ks-from-EDGAR-DB
  This is a sentiment trading strategy, written in Python, and applying NLP on 10-K's from the SEC EDGAR database.
  ☆10Updated 3 years ago
• Lipishree / WQU-Capstone
  Short Term Trading Strategy developed using technical Indicators like RSI-MACD-ADX-Bollinger Bands and study the effect of Broad Market D…
  ☆17Updated 7 years ago
• suraj-maniyar / Stock-Trading-Using-Machine-Learning
  A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.
  ☆22Updated 6 years ago
• gyanesh-m / Event-embedding-stock-prediction
  Model news data in short, medium and long term for stock price trend prediction
  ☆21Updated 7 years ago
• aliemamalinezhad / Time-Series-and-Financial
  Time series and Financial analysis in python
  ☆15Updated 6 years ago
• elayden / Deep-Learning-Framework-for-Financial-Time-Series-Prediction-in-Python-Keras
  Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…
  ☆11Updated 4 years ago
• qlero / vix_index_modelization
  Implementation with a Jupyter Notebook of the VIX index modelization provided in its CBOE white paper.
  ☆21Updated 5 years ago
• Boburmirzo / genetic-Meyer-Packard-Algorithm
  Predicting a Stock Price Using a Genetic Algorithm
  ☆16Updated 7 years ago
• frontmark / jupyter-notebooks
  Market Data & Derivatives Pricing Tutorial based on Jupyter notebooks
  ☆38Updated 4 years ago
• jo-cho / meta_labeling_simplified
  Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…
  ☆13Updated 3 years ago
• Git053 / Limit-Orderbook
  Limit Order Book for high-frequency trading (HFT) strategies using data science approaches
  ☆22Updated 3 years ago
• Frid0l1n / Random-Forest
  Stock Price Prediction using Random Forest
  ☆8Updated 6 months ago
• techietrader / Pairs-Trading-Indian-Stocks-using-Machine-Learning
  keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test
  ☆31Updated 6 years ago
• druce / ValueMomentum
  Value and Momentum Using Machine Learning
  ☆11Updated 4 years ago
• BessieChen / Algorithmic-Portfolio-Management-in-R-programming-language
  The course, authored by Prof. Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading)…
  ☆14Updated 6 years ago
• blckswmngbrd / PyPortfolioOptimizationNotebooks
  Python Jupyter Notebooks for Financial Portfolio Optimization
  ☆35Updated 6 years ago
• BryceMeng / mlfinlab_research_bryce
  ☆22Updated 4 years ago
• lh4d / quantfinance
  everything quantitative finance related
  ☆22Updated 4 years ago
• molson194 / LSTM-Stock-Prediction
  Day-Trading algorithm using LSTM to predict intraday stock movement
  ☆21Updated 6 years ago
• dstreetquant / pyVWAPTradingSignalSystem
  A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal
  ☆16Updated 7 years ago
• Vineet-Mehta / ML_HFT
  Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms
  ☆25Updated 7 years ago
• financialnoob / crypto
  experiments with crypto trading
  ☆15Updated 8 months ago
• riyersk / HFTrading
  Building a High Frequency Trading Engine with Neural Networks
  ☆12Updated 6 years ago
• terence-lim / financial-data-science
  Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on struct…
  ☆38Updated 9 months ago
• kouzapo / QFiPy
  Portfolio optimization package in Python.
  ☆16Updated 5 years ago
• GrahamboJangles / PutPremiumProcessor
  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 2 years ago
• 10mohi6 / stock-pairs-trading-python
  stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.
  ☆36Updated last year
• DemetersSon83 / Markowitzify
  Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies…
  ☆36Updated 4 years ago
• dbogatic / stock-evaluation
  Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…
  ☆13Updated 3 years ago
• SC4RECOIN / PriceTargetTrader
  Pull price targets from IEXCloud and paper trade on Alpaca 🦙
  ☆12Updated 4 years ago