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 >=3.10
  • Provides-Extra: notebook , internal , test , develop , mcp
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 >=3.10
  • Provides-Extra: notebook , internal , test , develop , mcp
Classifiers

Release history Release notifications | RSS feed

2.0.8

This version

2.0.7

2.0.5

2.0.4

2.0.3

2.0.0

1.6.35

1.6.34

1.6.33

1.6.32

1.6.31

1.6.30

1.6.29

1.6.28

1.6.27

1.6.26

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-2.0.7.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

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

gs_quant-2.0.7-py3-none-any.whl (1.3 MB view details)

Uploaded Python 3

File details

Details for the file gs_quant-2.0.7.tar.gz.

File metadata

  • Download URL: gs_quant-2.0.7.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for gs_quant-2.0.7.tar.gz
Algorithm Hash digest
SHA256 9c3de3dd553ea7d47a8cb9175f681ac5546bc3de8dd7423cd5d7bd29f0ddc4b2
MD5 a6ba272fac3b62f4eb96d79103cabd64
BLAKE2b-256 20a4d4327a0441bc7dbfeab937beb77024ee77a62e68280f7f459ca6e9b9ea27

See more details on using hashes here.

File details

Details for the file gs_quant-2.0.7-py3-none-any.whl.

File metadata

  • Download URL: gs_quant-2.0.7-py3-none-any.whl
  • Upload date:
  • Size: 1.3 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-2.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 34c481ac049dc0fb56239f49869bd2cf009cce359d0f2098ab89d0c5bf4e4d1b
MD5 84b6c955150cea24536887b091674dfb
BLAKE2b-256 d10eba7d74c4e1d805881f87975434375ed1ab51e7cc11c5152fa28539bc605e

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