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

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

This version

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-1.4.22.tar.gz (36.8 kB view details)

Uploaded Source

Built Distribution

algora_sdk-1.4.22-py3-none-any.whl (81.9 kB view details)

Uploaded Python 3

File details

Details for the file algora-sdk-1.4.22.tar.gz.

File metadata

  • Download URL: algora-sdk-1.4.22.tar.gz
  • Upload date:
  • Size: 36.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.2

File hashes

Hashes for algora-sdk-1.4.22.tar.gz
Algorithm Hash digest
SHA256 3fb893910c64d8a33b2b5f71576dedd0e3421b4e1180965b608d1ae8f0f49d9e
MD5 1feeb8998e6ab4d12ddf4fc647eedaf1
BLAKE2b-256 cb603a594794ca0609c655f25d308967bfa4029c3e298650fd47f8dd0b425df1

See more details on using hashes here.

File details

Details for the file algora_sdk-1.4.22-py3-none-any.whl.

File metadata

  • Download URL: algora_sdk-1.4.22-py3-none-any.whl
  • Upload date:
  • Size: 81.9 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-1.4.22-py3-none-any.whl
Algorithm Hash digest
SHA256 db366102016eca78c14a1a1f1c6649952b7f46124f91a0e7df1955872caa9881
MD5 0cbbd6a497912d7d5fdc2a26fe54a174
BLAKE2b-256 7786ef1daed88483a17d52e80c920861df46276744e6adb083660eee6a7a2ec3

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