A python package to retrieve economic data such as Trend for any financial symbol.
Project description
|
|
|
|
|
Retrieve asset trend and economic data. Trading view connectivity News connectivity FOMC reminder |
How to use it
talky = TalkyTrend()
result = await talky.fetch_signal()
# BUY
result = await talky.fetch_event()
print(result)
# Title: FDA advisers say new Alzheimer’s drug lecanemab slows cognitive decline
# Description: Panel’s opinion could pave way for full regulatory approval next month for treatment of disease that affects 6.5m Americans
monitor = await talky.monitor() #ongoing monitoring
# New signal for BTCUSD (4h): STRONG_SELL
# Key event: {'title': 'OPEC-JMMC Meetings', 'country': 'ALL', 'date': '2023-06-04T06:15:00-04:00', 'impact': 'High', 'forecast': '', 'previous': ''}\
# Key news: FDA advisers say new Alzheimer’s drug lecanemab slows cognitive decline
Documentation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
talkytrend-4.0.1.tar.gz
(17.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file talkytrend-4.0.1.tar.gz.
File metadata
- Download URL: talkytrend-4.0.1.tar.gz
- Upload date:
- Size: 17.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2789b4eab51a70eb8d1f8c53bbbd2a4266d33c86b7324c22f8bc40c7f2973ecd
|
|
| MD5 |
a3db40956d4f33359dcd53acb3015a97
|
|
| BLAKE2b-256 |
e88c0cea45c9ae60f59028d3d24e90bb9cbe1575c51c1b1f264455041c0d7085
|
File details
Details for the file talkytrend-4.0.1-py3-none-any.whl.
File metadata
- Download URL: talkytrend-4.0.1-py3-none-any.whl
- Upload date:
- Size: 22.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34596252495816cfe2bcf59ddefc674ab06ff3e90915afa1b474eb28d12a09a4
|
|
| MD5 |
76e7c9ad051fc0262eaf4c6b818502a5
|
|
| BLAKE2b-256 |
11b263542e54255828fb60f79c7244753f6f59067d26c33651e1475ec18595ba
|