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

1.6.30

1.6.29

1.6.28

1.6.27

1.6.26

This version

1.6.25

1.6.24

1.6.23

1.6.22

1.6.21

1.6.19

1.6.18

1.6.17

1.6.16

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-1.6.25.tar.gz (937.3 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-1.6.25-py3-none-any.whl (1.1 MB view details)

Uploaded Python 3

File details

Details for the file gs_quant-1.6.25.tar.gz.

File metadata

  • Download URL: gs_quant-1.6.25.tar.gz
  • Upload date:
  • Size: 937.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for gs_quant-1.6.25.tar.gz
Algorithm Hash digest
SHA256 e7df07ab837ecdf59bbb9c662273d0899288d43abfd45b4bfe223de38c86ef4d
MD5 2fa7bb57837d55c5696906f5f695847d
BLAKE2b-256 c9af0871c46d6bc17225350871398cf962a8a8599e1ccce6f01e6a10a849bd67

See more details on using hashes here.

File details

Details for the file gs_quant-1.6.25-py3-none-any.whl.

File metadata

  • Download URL: gs_quant-1.6.25-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-1.6.25-py3-none-any.whl
Algorithm Hash digest
SHA256 d2228faf068cea576f7c2f175be2387bf34b4407739858a3514ee4f8f02a0888
MD5 5690d4195db0f78caeeca4348c0929e3
BLAKE2b-256 512306973ffdb6fa2d544dae3587e787ce13b620ca9a3515ad814a3497df1f67

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