Comments (4)
the ticket makes me very happy
Once you have reached Model_creation_models_for_a_stock.py,
it is because you have executed steps 1 and 2 before.
What error do you get? You can write me at [email protected] , so I can help you via telegram.
plots_relations/best_selection_GOOG_neg.json
, this is because you have not executed step 2
in Model_creation_scoring.py
list_stocks = a_manage_stocks_dict.DICT_COMPANYS[CSV_NAME]
list_stocks have to contain "GOOG" ticket
more details https://github.com/Leci37/stocks-prediction-Machine-learning-RealTime-telegram#2-filtering-technical-
I am developing another branch with multidimensional preconditions (4h time thresholds) instead of the published single-dimension one (15min time thresholds).
I mean, the multidimensional one makes the operational prediction from all the technical patterns, in a 4h segment (e.g. from 9:00 to 11:00), the mono dimensional one (this document) only takes all the technical patterns given at 11:00.
If you are interested in collaborating in it, please send me an email ,
for more info search "stocks-prediction-multi" in this Readme
from tensorflow-stocks-prediction-machine-learning-realtime.
Feature_selection_json_columns.py has been deleted in newest version, Model_creation_models_for_a_stock.py cannot run success
from tensorflow-stocks-prediction-machine-learning-realtime.
new pipeline need to fix some code, now it run success, thanks for your excellent job, i will learn more details these day.
from tensorflow-stocks-prediction-machine-learning-realtime.
Good morning ,
I have just updated the documentation and the erroneous paths , you can see it at
https://github.com/Leci37/stocks-prediction-Machine-learning-RealTime-telegram/tree/master#quick-start-up-run-your-own-models
I'm closing the ticket.
P.S.: I always welcome a second opinion on https://github.com/Leci37/stocks-prediction-Machine-learning-RealTime-telegram/tree/master#possible-improvements
from tensorflow-stocks-prediction-machine-learning-realtime.
Related Issues (17)
- No code ? HOT 4
- Some files for quick-start not Found HOT 2
- Can we use any other API as source instead of yahoo? HOT 1
- Requires Statement.py and realtime_model_POOL_driver.py HOT 5
- distplot is a deprecated and will be removed in seaborn v0.14.0.
- get_technical_indicators.py issue
- [Bug Report] there is a mismatch between the length of the header or column names and the actual data being read into a pandas DataFrame. This could result in some data loss or incorrect parsing of the CSV file.
- 0_API_alphavantage_get_old_history.py not working since alphavantage API url changed and non of this files are working HOT 8
- Stuck at first try, Using Alpaca is not working, alphavantage is not either. So come up with yahoo finance but technical indicator is not reading. HOT 1
- Respond to Multidimensional arrays feeding in tensorflow
- Proposal and some questions HOT 1
- Package pyine is yanked. Is it necessary? HOT 2
- Numpy requirement conflict during pip install. HOT 1
- Step 3. error importing set_session HOT 2
- possible collaboration? HOT 1
- Timescales HOT 1
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