154 Open source projects that are alternatives of or similar to Spectre

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Using python and scikit-learn to make stock predictions

Asynchronous, event-driven algorithmic trading in Python and C++

🔎 📈 🐍 💰 Backtest trading strategies in Python.

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.

hummingbot中文资源

Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable

A curated list of practical financial machine learning tools and applications.

Notebooks based on financial machine learning.

Use unsupervised and supervised learning to predict stocks

Introducing neural networks to predict stock prices

PyTrendFollow - systematic futures trading using trend following

An advanced crypto trading bot written in Python

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

Courses, Articles and many more which can help beginners or professionals.

SpectreExploit POC

Tools to run MacOS on HP Spectre x360 (Late-2016 / Early-2017, Kaby Lake)

Performance analysis of predictive (alpha) stock factors

Portfolio analytics for quants, written in Python

modular quant framework.

Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries

Spectre.css - A Lightweight, Responsive and Modern CSS Framework

SpecuCheck is a Windows utility for checking the state of the software mitigations and hardware against CVE-2017-5754 (Meltdown), CVE-2017-5715 (Spectre v2), CVE-2018-3260 (Foreshadow), and CVE-2018-3639 (Spectre v4)

This tool allows to check speculative execution side-channel attacks that affect many modern processors and operating systems designs. CVE-2017-5754 (Meltdown) and CVE-2017-5715 (Spectre) allows unprivileged processes to steal secrets from privileged processes. These attacks present 3 different ways of attacking data protection measures on CPUs enabling attackers to read data they shouldn't be able to. This tool is originally based on Microsoft: https://support.microsoft.com/en-us/help/4073119/protect-against-speculative-execution-side-channel-vulnerabilities-in

A C++ stock market algorithmic trading bot

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

A semi-demi-working proof of concept for a mix of spectre and meltdown vulnerabilities

a trading strategy trainer, back-tester and bot

An unofficial, reverse-engineered Python API for tastyworks.

Unofficial Documentation of Robinhood Trade's Private API

Machine Learning in Asset Management (by @firmai)

🚀 Websocket based trading bot for 💰cryptocurrencies 📈

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

A list of online resources for quantitative modeling, trading, portfolio management

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

Ultimate Python library for time series analysis and backtesting at scale

event-driven backtesting framework written in golang

Common financial technical indicators implemented in Pandas.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Performance tear sheets and backtest analysis for Moonshot

A modern, simple & elegant theme for Hexo

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Example of using revealed "Spectre" exploit (CVE-2017-5753 and CVE-2017-5715)

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

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/

A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.

Quantitative Financial Modelling Framework

Vectorized backtester and trading engine for QuantRocket

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

API for algorithmic and high-frequency trading

QTPyLib, Pythonic Algorithmic Trading

Statistical and Algorithmic Investing Strategies for Everyone

A [work-in-progress] self-hosted personal finance app

An API for backtesting trading strategies in JavaScript and TypeScript.

The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.

iexcloud api wrapper written in typescript (asynchronous interface)