digital-dingo

digital-dingo's Stars

• AI4Finance-Foundation/FinNLP

  Democratizing Internet-scale financial data.

  Language:Jupyter Notebook1.2k223

• AI4Finance-Foundation/FinRL-Trading

  For trading. Please star.

  Language:Jupyter Notebook2.3k780

• AI4Finance-Foundation/FinRL_Podracer

  Cloud-native Financial Reinforcement Learning

  Language:Python417106

• AI4Finance-Foundation/FinRL-Meta

  FinRL­®-Meta: Dynamic datasets and market environments for FinRL.

  Language:Python1.5k644

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python4k891

• AI4Finance-Foundation/FinRL

  FinRL®: Financial Reinforcement Learning. 🔥

  Language:Jupyter Notebook11.3k2.7k

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook15.7k2.2k

• ashishkumar30/Stock_Market_Live_Trading_using_AI

  The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.

  Language:Jupyter Notebook19766

• stefmolin/stock-analysis

  Simple to use interfaces for basic technical analysis of stocks.

  Language:Python348121

• shirosaidev/stocksight

  Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

  Language:Python2.2k471

• LastAncientOne/Stock_Analysis_For_Quant

  Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

  Language:Jupyter Notebook1.8k481

• yumoxu/stocknet-dataset

  A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

  615176

• cbailes/awesome-deep-trading

  List of awesome resources for machine learning-based algorithmic trading

  1.6k313

• WerWolv/ImHex

  🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

  Language:C++47.7k2.1k

• radareorg/radare2

  UNIX-like reverse engineering framework and command-line toolset

  Language:C21.4k3.1k

• capstone-engine/capstone

  Capstone disassembly/disassembler framework for ARM, ARM64 (ARMv8), Alpha, BPF, Ethereum VM, HPPA, LoongArch, M68K, M680X, Mips, MOS65XX, PPC, RISC-V(rv32G/rv64G), SH, Sparc, SystemZ, TMS320C64X, TriCore, Webassembly, XCore and X86.

  Language:C7.9k1.6k

• NationalSecurityAgency/ghidra

  Ghidra is a software reverse engineering (SRE) framework

  Language:Java56k6.3k

• jmfernandes/robin_stocks

  This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

  Language:Python1.8k494

• mr-karan/awesome-investing

  💸💸 Curated list of investment & finance related resources

  2k252

• JerBouma/FinanceDatabase

  This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

  Language:Python4.7k512

• NourozR/Stock-Price-Prediction-LSTM

  OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

  Language:Python593217

• jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction

  LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

  Language:Python5k2k

• 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 LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

  4.7k1.7k

• recoilme/tgram

  typegram: open source publishing platform

  Language:Go33532

• roq-trading/roq-api

  C++ interfaces used to communicate with Roq's market gateways.

  Language:C++472112

• alpacahq/alpaca-backtrader-api

  Alpaca Trading API integrated with backtrader

  Language:Python645148

• wangzhe3224/awesome-systematic-trading

  A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资

  Language:HTML2.6k327

• Mathieu2301/TradingView-API

  📈 Get real-time stocks from TradingView

  Language:JavaScript2k408

• idanya/algo-trader

  Trading bot with support for realtime trading, backtesting, custom strategies and much more.

  Language:Python820105

• 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 building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

  Language:Jupyter Notebook1.1k261