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 (Apache-2.0)
  • Author: Goldman Sachs
  • Requires: Python >=3.9
  • Provides-Extra: turbo , notebook , internal , test , develop
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 (Apache-2.0)
  • Author: Goldman Sachs
  • Requires: Python >=3.9
  • Provides-Extra: turbo , notebook , internal , test , develop
Classifiers

Release history Release notifications | RSS feed

1.6.22

1.6.21

1.6.19

1.6.18

1.6.17

1.6.16

This version

1.6.14

1.6.13

1.6.12

1.6.11

1.6.9

1.6.8

1.6.7

1.6.5

1.6.3

1.6.2

1.6.1

1.6.0

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.4.84

1.4.83

1.4.82

1.4.80

1.4.79

1.4.78

1.4.77

1.4.74

1.4.72

1.4.71

1.4.70

1.4.68

1.4.67

1.4.66

1.4.65

1.4.64

1.4.63

1.4.62

1.4.60

1.4.59

1.4.58

1.4.57

1.4.56

1.4.55

1.4.54

1.4.53

1.4.52

1.4.51

1.4.50

1.4.49

1.4.46

1.4.45

1.4.44

1.4.43

1.4.42

1.4.41

1.4.39

1.4.38

1.4.37

1.4.36

1.4.35

1.4.33

1.4.32

1.4.31

1.4.30

1.4.29

1.4.28

1.4.27

1.4.26

1.4.25

1.4.24

1.4.23

1.4.22

1.4.21

1.4.20 yanked

Reason this release was yanked:

bug on install

1.4.19

1.4.17

1.4.16

1.4.15

1.4.13

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-1.6.14.tar.gz (919.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gs_quant-1.6.14-py3-none-any.whl (1.1 MB view details)

Uploaded Python 3

File details

Details for the file gs_quant-1.6.14.tar.gz.

File metadata

  • Download URL: gs_quant-1.6.14.tar.gz
  • Upload date:
  • Size: 919.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for gs_quant-1.6.14.tar.gz
Algorithm Hash digest
SHA256 45a2186db46d8c9e6f6bcdf3230f30deac88c453bbf6534f420e9c2c34f38d9e
MD5 5d491d6bcea50a2b01ba57d1cd2a5d7c
BLAKE2b-256 abe268810ea790527289c4d75976f9c0429dfe14d5684726ae2ebb6fb9ddf39d

See more details on using hashes here.

File details

Details for the file gs_quant-1.6.14-py3-none-any.whl.

File metadata

  • Download URL: gs_quant-1.6.14-py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for gs_quant-1.6.14-py3-none-any.whl
Algorithm Hash digest
SHA256 82121e62c59d72fe2b5d2f63be245f6cd879bd6e9f99a7bcf68688b13a9e7198
MD5 df9a84a2c4ed3af71b70a80ac189ed7a
BLAKE2b-256 4475317276775039cf45f2b811101af5097f3e1315407f8909b76367658367b8

See more details on using hashes here.

Supported by

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