dennisgrobe

dennisgrobe's Stars

• zachpinto/pyecongraphs

  PyEconGraphs is a python library for generating dynamic economic plots based on data from EconGraphs.org.

  Language:Makefile4

• philipzabicki/binance-algotrading

  Collection of personal tools used for strategies analysis and algorithmic trading on Binance exchange.

  Language:Python132

• tfl1971/Profitable-NFT-Sniper

  In real time software scans more than 10 trading platforms in for the profitable and rare NFTs at a low price. The program has no analogues in speed, since scanning occurs directly and the final display speed is less than one second. The functions also include auto-buying and auto-reselling (must be enabled).

  10

• Crone1/Bitcoin-Algorithmic-Trading-Paper

  Language:Jupyter Notebook196

• Superalgos/Superalgos

  Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

  Language:JavaScript4.4k5.6k

• AI4Finance-Foundation/FinRL

  FinRL: Financial Reinforcement Learning. 🔥

  Language:Jupyter Notebook10.4k2.5k

• AI4Finance-Foundation/FinRL-Trading

  For trading. Please star.

  Language:Jupyter Notebook2.2k758

• dhruvbhatia563/Technocolabs-Internship-Majpr-Project-Bitcoin-API-Price-Prediction-Based-on-Twitter-Sentiments

  Project shows that real-time Twitter data can be used to predict market movement of Bitcoin Price. The goal of this project is to prove whether Twitter data relating to cryptocurrencies can be utilized to develop advantageous crypto coin trading strategies. By way of supervised machine learning techniques, have outlined several machine learning pipelines with the objective of identifying cryptocurrency market movement. The prominent alternative currency ex- amined in this paper is Bitcoin (BTC). Our approach to cleaning data and applying supervised learning algorithms such as logistic regression, Decision Tree Classifier, and LDA leads to a final prediction accuracy exceeding 70%. In order to achieve this result, rigorous error analysis is employed in order to ensure that accurate inputs are utilized at each step of the model.

  Language:Jupyter Notebook116

• nirenzang/Optimal-Selfish-Mining-Strategies-in-Bitcoin

  An implementation of the Financial Crypto 2016 paper "Optimal Selfish Mining Strategies in Bitcoin"

  Language:Matlab133

• binance/binance-connector-python

  Simple connector to Binance Public API

  Language:Python2.1k518

• WISEPLAT/backtrader_binance

  Binance API integration with Backtrader. Run strategies for Backtest and Live Trading. Get historical price data for Bitcoin, Ethereum and all coins from Binance. EASY create your strategies.

  Language:Python16459

• 51bitquant/binance_grid_trader

  Binance_grid_trader is a grid strategy bot trading with Binance Spot and Binance Futures Exchange. you can use it to trade any pair in Binance Exchange. Binance_grid_trader是一个币安网格策略软件, 目前支持币安现货，USDT合约和币币合约。

  Language:Python788274

• hackingthemarkets/tradingview-binance-strategy-alert-webhook

  TradingView Strategy Alert Webhook that buys and sells crypto with the Binance API

  Language:Python368143

• bizkut/SSX999_HEDGE

  A cryptocurrency trading algorithm written in Python, designed for the Binance Futures API. The strategy is built on Binance Futures Hedge Mode, allowing to open both long and short positions at the same time for the same asset.

  214

• wolframroesler/itunes-in-nextcloud

  How to back up your iTunes files to Nextcloud

  2

• inukshuk/anystyle

  Fast citation reference parsing

  Language:Ruby1.1k90

• unkeyed/unkey

  Open source API management platform

  Language:TypeScript4.3k521

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML70.4k14.8k

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook66.2k34.2k

• langgenius/dify

  Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  Language:TypeScript57.5k8.5k

• VincentGarreau/particles.js

  A lightweight JavaScript library for creating particles

  Language:JavaScript29.2k4.8k

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python35.1k2.6k

• streamlit/streamlit

  Streamlit — A faster way to build and share data apps.

  Language:Python36.6k3.2k

• imfing/keras-flask-deploy-webapp

  :smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

  Language:JavaScript1.2k469

• damyanbogoev/flask-bookshelf

  Flask Series

  Language:Python34370

• shashankvemuri/Finance

  150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

  Language:Python2.3k81

• dkhamsing/open-source-ios-apps

  :iphone: Collaborative List of Open-Source iOS Apps

  43.4k5.5k

• learn-anything/ios-apps

  Awesome iOS apps

  10011

• ZuzooVn/machine-learning-for-software-engineers

  A complete daily plan for studying to become a machine learning engineer.

  28.3k6.2k

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python170k44.8k