Goldman Sachs Quant

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for david-vanden-bon from gravatar.com david-vanden-bon Avatar for martinroberson from gravatar.com martinroberson Avatar for stephen-183 from gravatar.com stephen-183

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (http://www.apache.org/licenses/LICENSE-2.0)
  • Author: Goldman Sachs
  • Provides-Extra: develop , internal , notebook , test , turbo
Classifiers
Report project as malware

Project description

GS Quant

GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets.

It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics applications.

In order to access the APIs you will need a client id and secret. These are available to institutional clients of Goldman Sachs. Please speak to your sales coverage or Marquee Sales for further information.

Please refer to Goldman Sachs Developer for additional information.

Requirements

  • Python 3.9 or greater
  • Access to PIP package manager

Installation

pip install gs-quant

Examples

You can find examples, guides and tutorials in the respective folders on Goldman Sachs Developer.

Help

Please reach out to gs-quant@gs.com with any questions, comments or feedback.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for david-vanden-bon from gravatar.com david-vanden-bon Avatar for martinroberson from gravatar.com martinroberson Avatar for stephen-183 from gravatar.com stephen-183

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (http://www.apache.org/licenses/LICENSE-2.0)
  • Author: Goldman Sachs
  • Provides-Extra: develop , internal , notebook , test , turbo
Classifiers

Release history Release notifications | RSS feed

This version

1.4.12

1.4.11

1.4.10

1.4.9

1.4.6

1.4.5

1.4.4

1.4.2

1.4.1

1.4.0

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.2.65

1.2.64

1.2.62

1.2.61

1.2.60

1.2.59

1.2.58

1.2.57

1.2.53

1.2.52

1.2.51

1.2.50

1.2.49

1.2.48

1.2.47

1.2.46

1.2.45

1.2.44

1.2.42

1.2.41

1.2.40

1.2.39

1.2.36

1.2.34

1.2.33

1.2.32

1.2.31

1.2.30

1.2.27

1.2.26

1.2.25

1.2.23

1.2.22

1.2.21

1.2.20

1.2.19

1.2.17

1.2.16

1.2.15

1.2.14

1.2.12

1.2.8

1.2.7

1.2.5

1.2.4

1.2.2

1.2.1

1.2.0

1.1.17

1.1.16

1.1.15

1.1.14

1.1.13

1.1.11

1.1.10

1.1.9

1.1.7

1.1.5

1.1.4

1.1.1

1.0.115

1.0.114

1.0.113

1.0.112

1.0.111

1.0.110

1.0.109

1.0.108

1.0.107

1.0.106

1.0.104

1.0.103

1.0.102

1.0.101

1.0.100

1.0.99

1.0.98

1.0.97

1.0.96

1.0.94

1.0.93

1.0.91

1.0.89

1.0.88

1.0.86

1.0.85

1.0.84

1.0.83

1.0.82

1.0.81

1.0.80

1.0.79

1.0.78

1.0.77

1.0.75

1.0.74

1.0.72

1.0.71

1.0.70

1.0.69

1.0.68

1.0.67

1.0.66

1.0.65

1.0.64

1.0.61

1.0.60

1.0.59

1.0.58

1.0.57

1.0.56

1.0.54

1.0.53

1.0.52

1.0.51

1.0.50

1.0.49

1.0.48

1.0.47

1.0.46

1.0.44

1.0.41

1.0.40

1.0.38

1.0.37

1.0.36

1.0.35

1.0.34

1.0.33

1.0.29

1.0.28

1.0.26

1.0.18

1.0.13

1.0.12

1.0.10

1.0.9

1.0.8

1.0.7

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.9.108

0.9.106

0.9.101

0.9.100

0.9.99

0.9.98

0.9.97

0.9.96

0.9.95

0.9.94

0.9.93

0.9.92

0.9.91

0.9.90

0.9.89

0.9.88

0.9.87

0.9.86

0.9.85

0.9.84

0.9.82

0.9.81

0.9.80

0.9.79

0.9.77

0.9.76

0.9.75

0.9.73

0.9.72

0.9.69

0.9.67

0.9.66

0.9.64

0.9.63

0.9.62

0.9.58

0.9.57

0.9.53

0.9.51

0.9.47

0.9.44

0.9.43

0.9.42

0.9.39

0.9.38

0.9.37

0.9.36

0.9.34

0.9.31

0.9.30

0.9.27

0.9.26

0.9.25

0.9.23

0.9.22

0.9.19

0.9.17

0.9.16

0.9.14

0.9.13

0.9.12

0.9.9

0.9.8

0.9.7

0.9.6

0.9.4

0.8.380

0.8.379

0.8.378

0.8.375

0.8.373

0.8.372

0.8.368

0.8.362

0.8.360

0.8.357

0.8.355

0.8.354

0.8.352

0.8.351

0.8.348.1

0.8.348

0.8.347.1

0.8.347

0.8.346.1

0.8.346

0.8.345

0.8.343

0.8.341

0.8.340

0.8.335

0.8.332

0.8.324

0.8.322

0.8.317

0.8.315

0.8.313

0.8.312

0.8.308

0.8.306

0.8.305

0.8.301

0.8.299

0.8.295

0.8.292

0.8.290

0.8.288

0.8.286

0.8.281

0.8.279

0.8.272.1

0.8.272

0.8.268

0.8.266

0.8.263

0.8.261

0.8.258

0.8.248

0.8.247

0.8.246

0.8.242

0.8.241

0.8.239

0.8.229.1

0.8.229

0.8.226.1

0.8.226

0.8.221

0.8.219

0.8.217

0.8.216

0.8.214

0.8.213

0.8.209

0.8.203

0.8.199

0.8.196.1

0.8.196

0.8.165

0.8.161

0.8.156

0.8.155

0.8.154

0.8.153

0.8.152

0.8.149

0.8.148

0.8.147

0.8.144

0.8.143

0.8.140.1

0.8.140

0.8.134

0.8.131

0.8.130

0.8.129

0.8.125

0.8.124.2

0.8.124.1

0.8.124

0.8.121

0.8.118

0.8.115.1

0.8.115

0.8.113

0.8.110.1

0.8.110

0.8.109.1

0.8.109

0.8.108.5

0.8.108.3

0.8.108.2

0.8.108.1

0.8.108

0.8.107

0.8.102

0.8.101

0.8.99

0.8.97

0.8.96

0.8.95

0.8.94

0.8.90

0.8.89.5

0.8.89.3

0.8.89.2

0.8.89.1

0.8.89

0.8.87

0.8.86

0.8.85

0.8.83

0.8.82

0.8.81

0.8.80

0.8.79

0.8.77

0.8.73

0.8.70

0.8.69

0.8.67

0.8.65

0.8.61

0.8.50.1

0.8.50

0.8.46

0.8.39

0.8.36

0.8.35.1

0.8.35

0.8.34

0.8.33

0.8.32

0.8.31

0.8.28

0.8.27

0.8.26

0.8.25

0.8.24

0.8.23

0.8.20

0.8.19

0.8.18

0.8.17

0.8.16

0.8.15

0.8.14

0.8.10

0.8.8

0.8.7

0.8.4

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.1

0.7.0

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.3

0.6.2

0.6.1

0.5.6

0.5.5.post2

0.5.5.post1

0.5.5

0.5.4.post1

0.5.4

0.5.3

0.5.2

0.5.1

0.4.8

Download files

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

Source Distribution

gs_quant-1.4.12.tar.gz (890.5 kB view details)

Uploaded Source

Built Distribution

gs_quant-1.4.12-py3-none-any.whl (1.3 MB view details)

Uploaded Python 3

File details

Details for the file gs_quant-1.4.12.tar.gz.

File metadata

  • Download URL: gs_quant-1.4.12.tar.gz
  • Upload date:
  • Size: 890.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.18

File hashes

Hashes for gs_quant-1.4.12.tar.gz
Algorithm Hash digest
SHA256 bbc50374f3e2d40d4575f60b939c7691756eb5385a3426dc92ba26875b9759da
MD5 c08acd9cd9db56985d47fce701b3ad95
BLAKE2b-256 0c2039391571fc626ad64bc46d7c9cddd9dc8fd927256a5b6fbca56470c022de

See more details on using hashes here.

File details

Details for the file gs_quant-1.4.12-py3-none-any.whl.

File metadata

  • Download URL: gs_quant-1.4.12-py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.18

File hashes

Hashes for gs_quant-1.4.12-py3-none-any.whl
Algorithm Hash digest
SHA256 84cddea1cd4ad103f99baff20437a51c5952f4a86d8117c2332de7f59e19bfa1
MD5 e1757ec46ccbdc84667d269e310de059
BLAKE2b-256 8b59d6ef5a1fa734c7f87252c5c954941f7ac3942e16e495691e71633304692d

See more details on using hashes here.

Supported by

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