Algora Labs Python SDK

Navigation

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
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
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

1.5.21

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

This version

1.4.78

1.4.76

1.4.75

1.4.73

1.4.71

1.4.69

1.4.67

1.4.65

1.4.63

1.4.61

1.4.60

1.4.58

1.4.56

1.4.54

1.4.52

1.4.50

1.4.48

1.4.46

1.4.44

1.4.43

1.4.41

1.4.39

1.4.37

1.4.35

1.4.33

1.4.31

1.4.29

1.4.28

1.4.27

1.4.25

1.4.23

1.4.22

1.4.20

1.4.18

1.4.16

1.4.14

1.4.12

1.4.11

1.4.9

1.4.7

1.4.6

1.4.5

1.4.3

1.4.1

1.4.0

1.3.96

1.3.95

1.3.94

1.3.93

1.3.91

1.3.89

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

1.3.75

1.3.73

1.3.71

1.3.69

1.3.67

1.3.66

1.3.65

1.3.64

1.3.63

1.3.62

1.3.61

1.3.59

1.3.57

1.3.55

1.3.53

1.3.52

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

1.1.61

1.1.60

1.1.59

1.1.57

1.1.56

1.1.55

1.1.54

1.1.52

1.1.51

1.1.49

1.1.47

1.1.46

1.1.45

1.1.44

1.1.43

1.1.41

1.1.40

1.1.38

1.1.36

1.1.23

1.1.22

1.1.20

1.1.18

1.1.17

1.1.16

1.1.15

1.1.13

1.1.11

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.0.77

1.0.76

1.0.75

1.0.73

1.0.71

1.0.69

1.0.68

1.0.67

1.0.66

1.0.65

1.0.64

1.0.62

1.0.60

1.0.58

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

algora-sdk-1.4.78.tar.gz (43.2 kB view details)

Uploaded Source

Built Distribution

algora_sdk-1.4.78-py3-none-any.whl (92.0 kB view details)

Uploaded Python 3

File details

Details for the file algora-sdk-1.4.78.tar.gz.

File metadata

  • Download URL: algora-sdk-1.4.78.tar.gz
  • Upload date:
  • Size: 43.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.2

File hashes

Hashes for algora-sdk-1.4.78.tar.gz
Algorithm Hash digest
SHA256 04c024810fe20dfe5ecfcc1b274ac4f5d4c892d46d6134767cc2ade2d9e6590f
MD5 721d729bacb45e3b7535ad0e34a0a935
BLAKE2b-256 dfee1e0eefcc8f5cef6aeaa7ceb28e6efdc52107d3b3977f83f8a30d35a87dcb

See more details on using hashes here.

File details

Details for the file algora_sdk-1.4.78-py3-none-any.whl.

File metadata

  • Download URL: algora_sdk-1.4.78-py3-none-any.whl
  • Upload date:
  • Size: 92.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.2

File hashes

Hashes for algora_sdk-1.4.78-py3-none-any.whl
Algorithm Hash digest
SHA256 172f46a5d62c63f1e82b9b28938b254df65f119af3a434b9c02b2d9acca75cf2
MD5 4985e4f35d44f339b10e3a686595b131
BLAKE2b-256 40b3edc041dda9d81fdf7e0731ef80abaca6f3ca9764bebd087d6b8e7b549f4f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page