Hướng dẫn financial-analysis python github

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A program for financial portfolio management, analysis and optimisation.

• Updated Sep 10, 2022
• Python

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Python-based framework for backtesting trading strategies & analyzing financial markets [GUI

• Updated Jul 6, 2022
• Python

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Python interface to IEX and IEX cloud APIs

• Updated Jul 11, 2022
• Python

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ESC Team's credit scorecard tools.

• Updated Aug 21, 2022
• Python

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Twelve Data Python Client - Financial data API & WebSocket

• Updated Sep 9, 2022
• Python

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Time series prediction using dilated causal convolutional neural nets (temporal CNN)

• Updated Jun 19, 2022
• Python

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Pipeline Extension for Live Trading

• Updated Aug 17, 2022
• Python

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Guia de ejemplos didácticos en python temática finanzas bolsa trading argentina usa

• Updated Jan 30, 2022
• Python

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Amazon SageMaker Solution for explaining credit decisions.

• Updated Jun 2, 2021
• Python

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#nontina, trading gear for hackers

• Updated Sep 30, 2022
• Python

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Hobby project in time series analysis with stock market data by comparing different methods for time series prediction, including ARIMA, SARIMAX, LSTM, and transformer.

• Updated Aug 14, 2021
• Python

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Official Python wrapper for the Quantel Finance API

• Updated Nov 1, 2021
• Python

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Stock data collection and analysis

• Updated Sep 16, 2018
• Python

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Automated Exploration Data Analysis on a financial dataset

• Updated Mar 17, 2020
• Python

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Backtest trading strategies concurrently using historical chart data from various financial exchanges.

• Updated Apr 5, 2019
• Python

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This repository contains a python file with is used to calculate charting indicators.

• Updated Sep 13, 2021
• Python

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High-Performance Computing. Fundamental Analysis Stock Screener and Ranker

• Updated Jun 21, 2022
• Python

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In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, data handling, and simple trading strategies.

• Updated May 3, 2021
• Python

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A financial deep learning library for stocks price prediction and comparison with traditional investment strategies. The Library is based on LSTM-Neural Networks and Conv1D + LSTM Neural Networks. Investments are subject to market risks, The AUTHOR HOLDS NO RESPONSIBILITY for any financial loss.

• Updated Nov 22, 2021
• Python

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JPMorgan Chase & Co. Software Engineering Virtual Internship tasks [ patch files submission ] solutions

• Updated Jul 24, 2022
• Python