dxdp-quant
Popular repositories
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react-stockcharts
react-stockcharts PublicForked from rrag/react-stockcharts
Highly customizable stock charts with ReactJS and d3
JavaScript
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react-financial-charts
react-financial-charts PublicForked from react-financial/react-financial-charts
Charts dedicated to finance.
TypeScript
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trading-server
trading-server PublicForked from s-brez/trading-server
A multi-asset, multi-strategy, event-driven trade execution and management platform for running many algorithms/bots at many venues simultaneously with unified risk management and reporting. Uses M…
Python
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stock-analysis-engine
stock-analysis-engine PublicForked from AlgoTraders/stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for b…
Jupyter Notebook
Repositories
- fluentui Public Forked from microsoft/fluentui
Fluent UI web represents a collection of utilities, React components, and web components for building web applications.
- AutoTrader Public Forked from kieran-mackle/AutoTrader
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
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- financial-analysis-stack Public Forked from honno/financial-analysis-stack
Demonstrating how various distributed data and parallel processing techniques could be used for financial analysis.
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- Deep-Learning-Machine-Learning-Stock Public Forked from LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
- Stock_Analysis_For_Quant Public Forked from LastAncientOne/Stock_Analysis_For_Quant
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
- timeseriescv Public Forked from sam31415/timeseriescv
Scikit-learn style cross-validation classes for time series data
- stockpredictionai Public Forked from borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use L…
- tsfresh Public Forked from blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
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