Simple Stock Price Forecasting using FinanceData
Below illustrates the file structure after every auto-generated file and folder is created.
.Quant
+-- Crawler
| +-- crawled_result
| +-- [stock_code]
| +-- News
| +-- fullPage
| +-- pages[from-to].csv
| +-- page[page].csv
| +-- Research
| +-- fullPage
| +-- pages[from-to].csv
| +-- page[page].csv
| +-- __init__.py
| +-- Google_Crawler.py
| +-- Naver_Crawler.py
|
+-- FinanceData
| +-- __init__.py
| +-- FinanceDataCollection.py
|
+-- Model
| +-- [stock_code]_final_data
| +-- image.png
| +-- [stock_code]_plots
| +-- image.png
| +-- Feature_Engineering
| +-- image.png
| +-- model_checkpoints
| +-- [model_name].h5
| +-- __init__.py
| +-- data_config.py
| +-- Data_preparation.py
| +-- FeatureEngineering.py
| +-- Gradient_Boosting.py
| +-- LSTM_Model_.py
| +-- Multivariate_LSTM.py
| +-- Multivariage_supervised_LSTM.py
| +-- Prophet_Model.py
|
+-- NLP
| +-- __init__.py
| +-- config.py (credentials, thus gitignored)
| +-- GCP_Language.py
| +-- Saltlux_Language.py
| +-- entities[id].json
| +-- sentiment[id].json
| +-- keyword[id].json
|
+-- __init__.py
+-- [your_GCP_credential].json
+-- Predict.py
will be updated
Samsung Open, High, Low, Close Stock Price Prediction (LSTM)
Samsung Golden and Dead Cross based on Moving Average
Fourier Transforms on Samsung stock price for Denoising