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algorithmic-trading
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Zipline, a Pythonic Algorithmic Trading Library
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Nov 1, 2021 - Python
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
machine-learning
bitcoin
trading
numpy
pandas
stock
quant
matplotlib
trade
algorithmic-trading
quantitative-trading
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Dec 23, 2020 - Python
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.
python
platform
finance
machine-learning
research
deep-learning
paper
fintech
quant
quantitative-finance
investment
stock-data
algorithmic-trading
research-paper
quantitative-trading
quant-dataset
quant-models
auto-quant
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Jan 4, 2022 - Python
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks
crypto
bitcoin
trading
coinbase
ethereum
trading-bot
trading-strategies
technical-analysis
gdax
algorithmic-trading
coinbase-api
bittrex-api
binance
binance-api
crypto-signal
mamo
cryptotrading
coinbase-pro
abenezer-mamo
cryptosignal
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Oct 19, 2021 - Python
An advanced crypto trading bot written in Python
python
bot
framework
crypto
bitcoin
trading
trading-bot
algo-trading
cryptocurrency
trading-strategies
trading-algorithms
trade
algorithmic-trading
jesse
etherum
crypto-bot
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Dec 30, 2021 - Python
PanPip
commented
Jun 30, 2020
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
python
finance
investing
portfolio-optimization
quantitative-finance
investment
financial-analysis
algorithmic-trading
covariance
investment-analysis
portfolio-management
efficient-frontier
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Dec 25, 2021 - Jupyter Notebook
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
trading-bot
quant
trading-strategies
trading-algorithms
quantitative-finance
algorithmic-trading
quantitative-trading
trading-systems
statistical-arbitrage
macd
options-trading
bollinger-bands
options-strategies
momentum-strategy
quantitative-trading-strategies
trading-strategy
pair-trading
momentum-trading-strategy
commodity-trading
quantimental-analysis
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Nov 10, 2021 - Python
8
WenceslaoGrillo
commented
May 29, 2020
Some suggestions to make it easier to run the backend without the front end. Some of these suggestions might be *ix only:
- a command line parameter to indicate that the back end should start with everything that is pending without waiting for a front end to be available in the browser.
- some instruction to make it work as a daemon (Linux) or service (Windows) to gain independence from the te
An Algorithmic Trading Library for Crypto-Assets in Python
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Sep 22, 2021 - Python
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
go
golang
trading-bot
cryptocurrency
exchange
trading-platform
algorithmic-trading
algorithmic-trading-library
cryptocurrency-trading-bot
trading-framework
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Dec 31, 2021 - Go
Statistical and Algorithmic Investing Strategies for Everyone
machine-learning
opensource
statistics
ai
genetic-algorithm
free-software
portfolio-optimization
trading-strategies
trading-algorithms
algorithmic-trading
eigenvalues
hedgefund
investment-portfolio
tradytics
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Sep 22, 2020 - Python
A curated list of practical financial machine learning tools and applications.
finance
cryptocurrency
stock-market
quant
trading-strategies
quantitative-finance
investment
algorithmic-trading
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Jan 4, 2022 - Python
zillionare
commented
Apr 30, 2021
this is how Buy & Hold Return
is calculated:
c = data.Close.values
s.loc['Buy & Hold Return [%]'] = (c[-1] - c[0]) / c[0] * 100 # long-only return
so it's calced use day one and the day last.
Expected Behavior
Buy & Hold Return is used for compare with strategy gain. Therefore, I guess they should started at same time, since the strategy get enough data to w
A list of online resources for quantitative modeling, trading, portfolio management
machine-learning
trading-platform
quantitative-finance
algorithmic-trading
mathematical-finance
asset-pricing
quantitative-trading
trading-systems
asset-management
portfolio-management
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Sep 7, 2021
modular quant framework.
trading-bot
stock
cryptocurrency
fintech
stock-market
quant
trading-platform
trading-strategies
quantitative-finance
technical-analysis
algorithmic-trading
quantitative-trading
backtesting
fundamental-analysis
zvt
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Dec 27, 2021 - Python
Portfolio analytics for quants, written in Python
visualization
python
algo-trading
algotrading
quant
plotting
algorithmic-trading
quantitative-trading
quantitative-analysis
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Dec 1, 2021 - Python
Unofficial Documentation of Robinhood Trade's Private API
api-documentation
stock-market
brokerage
stocks
robinhood
robinhood-api
stock-data
nasdaq
algorithmic-trading
broker-api
nyse
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Nov 6, 2020
QTPyLib, Pythonic Algorithmic Trading
algo-trading
algotrading
quantitative-finance
backtester
algorithmic-trading
interactivebrokers
interactive-brokers
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Sep 22, 2021 - Python
Find your trading edge, using a powerful engine for backtesting, algorithmic trading, and research.
finance
data-science
machine-learning
time-series
trading
data-visualization
cryptocurrency
portfolio-optimization
trading-strategies
quantitative-finance
algorithmic-trading
backtesting
quantitative-analysis
algorithmic-traiding
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Dec 30, 2021 - Python
Common financial technical indicators implemented in Pandas.
python
trading
pandas
fintech
algotrading
trading-algorithms
technical-analysis
algorithmic-trading
trading-strategy
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Oct 19, 2021 - Python
Use unsupervised and supervised learning to predict stocks
python
machine-learning
artificial-intelligence
lstm
yahoo-finance-api
stock-price-prediction
autoencoder
artificial-neural-networks
trading-strategies
quantitative-finance
algorithmic-trading
wavelet-transform
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Jun 18, 2020 - Python
Machine Learning in Asset Management (by @firmai)
machine-learning
jupyter-notebook
quant
portfolio-optimization
trading-strategies
quantitative-finance
algorithmic-trading
assets-management
google-colab
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Dec 17, 2021 - Jupyter Notebook
Using python and scikit-learn to make stock predictions
python
data-science
machine-learning
tutorial
trading
guide
scikit-learn
sklearn
stock
quantitative-finance
stock-prices
algorithmic-trading
yahoo-finance
stock-prediction
historical-stock-fundamentals
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Feb 4, 2021 - Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
python
machine-learning
trading
feature-selection
model-selection
quant
trading-strategies
investment
market-maker
feature-engineering
algorithmic-trading
backtesting-trading-strategies
limit-order-book
quantitative-trading
orderbook
market-microstructure
high-frequency-trading
market-making
orderbook-tick-data
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Feb 14, 2017 - Jupyter Notebook
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
python
trading-bot
cryptocurrency
algotrading
trading-algorithms
algorithmic-trading
arbitrage
bellman-ford
arbitrage-bot
ccxt
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Jun 28, 2021 - Python
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/
docker
kubernetes
redis
deep-neural-networks
options
deep-learning
jupyter
tensorflow
helm
s3
keras
minio
iex
helm-charts
stocks
algorithmic-trading
deep-learning-tutorial
tradier
backtesting
iexcloud
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Sep 5, 2020 - Jupyter Notebook
Quantitative Financial Modelling Framework
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Dec 11, 2021 - R
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Describe the enhancement
In the docs, I'm not seeing any
/api/v1/healthcheck
endpoint or whatnot (heartbeat specific, not referencingping
). Potentially returning the time of last heartbeat and any errors (if present).This would be highly useful for monitoring and ensuring nothing crazy is going wrong. This would make monitoring from another server much easier and with some simple sc