Displaying 1 to 8 from 8 results

alpaca - Given a web API, Generate client libraries in node, php, python, ruby

  •    Go

You define your API according to the format given below, alpaca builds the API libraries along with their documentation. All you have to do is publishing them to their respective package managers. Join us at gitter if you need any help.

alpaca - Functional programming inspired by ML for the Erlang VM

  •    Erlang

Alpaca is a statically typed, strict/eagerly evaluated, functional programming language for the Erlang virtual machine (BEAM). At present it relies on type inference but does provide a way to add type specifications to top-level function and value bindings. It was formerly known as ML-flavoured Erlang (MLFE). Please see the rebar3 plugin documentation for more details.

alpaca-repl - An experimental interactive shell for Alpaca, the ML language that runs on the Erlang VM

  •    Erlang

An experimental interactive shell for Alpaca https://github.com/alpaca-lang/alpaca, an ML-inspired language that runs on beam.

alpaca-backtrader-api - Alpaca Trading API integrated with backtrader

  •    Python

alpaca-backtrader-api is a python library for the Alpaca trade API within backtrader framework. It allows rapid trading algo development easily, with support for the both REST and streaming interfaces. For details of each API behavior, please see the online API document. Note this module supports only python version 3.5 and above, due to the underlying library alpaca-trade-api.




alpaca-trade-api-js

  •    Javascript

Node.js library for Alpaca Trade API. The REST API documentation can be found in https://docs.alpaca.markets. For detailed information about an endpoint, please consult the REST API docs. Documentation specific to this library can be found below.

alpaca-trade-api-python - Python client for Alpaca's trade API

  •    Python

alpaca-trade-api-python is a python library for the Alpaca trade API. It allows rapid trading algo development easily, with support for the both REST and streaming interfaces. For details of each API behavior, please see the online API document. Note this module supports only python version 3.5 and above, due to the async/await keyword use.

alpaca-zipline - Alpaca riding on a zipline

  •    Python

This is the Alpaca official docker container packages zipline. With this container image, you can easily run your Quantopian algorithm with live trading. This is to run your algorithm in your computer, or server by yourself, and Alpaca is also desiging a "one-click" solution to run your algorithm without having your server. All you need is docker installed in your system.

example-hftish - Example Order Book Imbalance Algorithm

  •    Python

The aim of this algorithm is to capture slight moves in the bid/ask spread as they happen. It is only intended to work for high-volume stocks where there are frequent moves of 1 cent exactly. It is one of the trading strategies based on order book imbalance. For more details about it, please refer to Darryl Shen, 2015 or other online articles. This algorithm will make many trades on the same security each day, so any account running it will quickly encounter PDT rules. Please make sure your account balance is well above $25,000 before running this script in a live environment.