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
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.

Please refer to Goldman Sachs Developer for additional information.

Requirements

  • Python 3.6 or greater
  • Access to PIP package manager

Installation

pip install gs-quant

Examples

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

Contributions

Contributions are encouraged! Please see CONTRIBUTING.MD for more details.

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
Classifiers

Release history Release notifications | RSS feed

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

This version

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-1.0.29.tar.gz (721.4 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-1.0.29-py3-none-any.whl (1.1 MB view details)

Uploaded Python 3

File details

Details for the file gs_quant-1.0.29.tar.gz.

File metadata

  • Download URL: gs_quant-1.0.29.tar.gz
  • Upload date:
  • Size: 721.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for gs_quant-1.0.29.tar.gz
Algorithm Hash digest
SHA256 9432c10f4d89420250b6b8cc3b28292bb0dbed8bc461422dda28d289f6b12604
MD5 d7e5523509a453c10c3450f8345f4f3e
BLAKE2b-256 c977f9d9c1152b72662f88534060945c05a2a6e8df5622ea41c5967d40367f88

See more details on using hashes here.

File details

Details for the file gs_quant-1.0.29-py3-none-any.whl.

File metadata

  • Download URL: gs_quant-1.0.29-py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for gs_quant-1.0.29-py3-none-any.whl
Algorithm Hash digest
SHA256 72e2b67732e578ecd6fd6fa748b505a605b97ca57da9ad46645a2be29f0702c4
MD5 c281fd43417f4a474852d46e22db3157
BLAKE2b-256 087143968ece4b5ec13d07247a1ce7126dd4550eedb6800ad252fad5c92a77b9

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