TensorTrade: A reinforcement learning library for training, evaluating, and deploying robust trading agents.
3 maintainers
Metadata
3 maintainers
Release files for tensortrade 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tensortrade-1.0.4.tar.gz | 33.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tensortrade-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.1 MB
Release files / tensortrade-1.0.4.tar.gz
| Download URL | tensortrade-1.0.4.tar.gz |
|---|---|
| Size | 33.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
945bce830714d12d52663ff4769929b3fa104d6753732010b536102ec7beaecb
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.2
|
Release files / tensortrade-1.0.4-py3-none-any.whl
| Download URL | tensortrade-1.0.4-py3-none-any.whl |
|---|---|
| Size | 139.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
896372ef019fa8e68e8a97a6389f2f979ea126f27e8d774d9d127cb77316470f
|
|
BLAKE2b-256 checksum How to use checksums |
a64899f07d6102ea0da9d8d396aa38707eb54aa279c671864f4c9f01037ca012
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.2
|
