alpaca-py
mlfinlab
alpaca-py | mlfinlab | |
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3 | 126 | |
433 | 3,779 | |
5.5% | 1.0% | |
8.4 | 0.0 | |
4 days ago | 7 months ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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alpaca-py
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Python developers -- what broker and api do you use?
Alpaca, as mentioned before, is pretty easy. They have a python client (https://alpaca.markets/docs/python-sdk/) that's pretty good. Free trades on equities is nice. The problem with alpaca is that their free equity data is 15min delayed. I've also found their margin accounts to be hard to use programmatically so I only trade long with them. They have crypto but their commissions are high.
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UUID on Pico
I'm trying to use the Alpaca Markets API (https://alpaca.markets/docs/python-sdk/) to automate investments, so I connect the Pico to the internet then simply import
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Starting a stock/crypto trading platform using the Alpaca API
Ive been personally implementing some quant trading with their new python module - https://github.com/alpacahq/alpaca-py
mlfinlab
What are some alternatives?
alpaca-trade-api-python - Python client for Alpaca's trade API
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Riskfolio-Lib - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
IBC - Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
tradestation-python-api - A Python Client library for the TradeStation API.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
deepdow - Portfolio optimization with deep learning.
ib_api - Interactive Brokers API in TypeScript / Kotlin / Java / Nim