Algora Labs Python SDK

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  • License: MIT License
  • Author: Algora Labs
  • Requires: Python >=3.7
Classifiers

Project description

Algora Labs

Algora Labs is a strategy development platform for trading. Build, test and launch complex trading strategies in minutes instead of days or weeks. We manage your environment, so you can focus more time on building profitable strategies.

Features

  • Create complex, multi-asset class strategies with instruments of any type
  • Track position- and portfolio- level risks
  • Manage cash payments and slippage
  • Design and develop custom instruments
  • Integrate external data and pricers without exposing any proprietary logic

SDK

The algora-sdk allows users to programmatically access our APIs and data.

Note
Our quantitative finance framework (strategy development and backtesting) is only available through our platform

Installation

Set the following environment variables for your username and password for Algora Labs.

ALGORA_USER=<username>
ALGORA_PWD=<password>

Help

If you need any help or have feedback, please email us at support@algoralabs.com.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for algora from gravatar.com algora

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Algora Labs
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

1.5.39

1.5.37

1.5.35

1.5.33

1.5.31

1.5.29

1.5.27

1.5.25

1.5.23

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1.5.19

1.5.18

1.5.16

1.5.14

1.5.13

1.5.11

1.5.9

1.5.7

1.5.5

1.5.3

1.5.2

1.5.0

1.4.90

1.4.88

1.4.86

1.4.85

1.4.84

1.4.83

1.4.82

1.4.80

1.4.78

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1.4.3

1.4.1

1.4.0

1.3.96

1.3.95

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1.3.93

1.3.91

1.3.89

This version

1.3.88

1.3.87

1.3.86

1.3.85

1.3.84

1.3.83

1.3.81

1.3.79

1.3.77

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1.3.59

1.3.57

1.3.55

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1.3.51

1.3.50

1.3.49

1.3.47

1.3.45

1.3.44

1.3.43

1.3.41

1.3.39

1.3.37

1.3.35

1.3.20

1.3.18

1.3.16

1.3.14

1.3.12

1.3.10

1.3.8

1.3.6

1.3.4

1.3.2

1.3.0

1.2.2

1.2.0

1.1.75

1.1.73

1.1.71

1.1.70

1.1.69

1.1.67

1.1.65

1.1.63

1.1.62

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1.1.23

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1.1.9

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1.0.77

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1.0.69

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1.0.65

1.0.64

1.0.62

1.0.60

1.0.58

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