From 8a483e347a3587049198f4fc6a986120bb180c47 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Fri, 25 Oct 2024 08:58:16 +0000 Subject: [PATCH 1/5] Update repo structure --- PROJECT_STRUCTURE.md | 24 ++++++++++++++++++++++-- repo_structure.txt | 24 ++++++++++++++++++++++-- 2 files changed, 44 insertions(+), 4 deletions(-) diff --git a/PROJECT_STRUCTURE.md b/PROJECT_STRUCTURE.md index db53de1..1ed8936 100644 --- a/PROJECT_STRUCTURE.md +++ b/PROJECT_STRUCTURE.md @@ -5,7 +5,11 @@ ├── ARIMA/ │ ├── ARIMA_V2.ipynb │ ├── README.md -│ └── hybrid.ipynb +│ ├── hybrid.ipynb +│ └── saved_model/ +│ ├── arima_model.pkl +│ ├── lstm_model.h5 +│ └── scaler.pkl ├── Contributing.md ├── Data/ │ ├── SBI Test data.csv @@ -30,6 +34,7 @@ │ ├── reduced_redundancy_stock_price_prediction.ipynb │ └── requirements.txt ├── InvestWise - Stock Prediction Model.png +├── LICENSE ├── Market Trend Classification Model/ │ ├── Market Trend Classification Model.ipynb │ ├── MarketTrend Analytics - Classification Model.png @@ -52,7 +57,9 @@ ├── SBIN.csv ├── Stock_Price_Prediction(Updated).ipynb ├── Stock_Price_Prediction.ipynb +├── Stock_Recommendation.ipynb ├── Stock_prediction_Data_Analysis.ipynb +├── Updated_SBIN.csv ├── VWAP_included_stock_price_prediction.ipynb ├── buy_sell_recommendation_system.ipynb ├── candlestick_chart.html @@ -67,9 +74,22 @@ │ ├── 085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg │ ├── 6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg │ └── f23e9194-72de-438d-bd69-744667680d3e.jpeg +├── main.py +├── nifty_500.csv +├── prediction.pkl ├── reduced_redundancy_stock_price_prediction.ipynb ├── repo_structure.txt ├── requirements.txt -└── stock_market(complete).ipynb +├── sentiment_model.h5 +├── static/ +│ └── css/ +│ ├── home.css +│ └── stock.css +├── stock_data.csv +├── stock_market(complete).ipynb +├── stock_sentimental.ipynb +└── templates/ + ├── home.html + └── stock.html ``` \ No newline at end of file diff --git a/repo_structure.txt b/repo_structure.txt index 51ea91e..3af122d 100644 --- a/repo_structure.txt +++ b/repo_structure.txt @@ -1,7 +1,11 @@ ├── ARIMA/ │ ├── ARIMA_V2.ipynb │ ├── README.md -│ └── hybrid.ipynb +│ ├── hybrid.ipynb +│ └── saved_model/ +│ ├── arima_model.pkl +│ ├── lstm_model.h5 +│ └── scaler.pkl ├── Contributing.md ├── Data/ │ ├── SBI Test data.csv @@ -26,6 +30,7 @@ │ ├── reduced_redundancy_stock_price_prediction.ipynb │ └── requirements.txt ├── InvestWise - Stock Prediction Model.png +├── LICENSE ├── Market Trend Classification Model/ │ ├── Market Trend Classification Model.ipynb │ ├── MarketTrend Analytics - Classification Model.png @@ -48,7 +53,9 @@ ├── SBIN.csv ├── Stock_Price_Prediction(Updated).ipynb ├── Stock_Price_Prediction.ipynb +├── Stock_Recommendation.ipynb ├── Stock_prediction_Data_Analysis.ipynb +├── Updated_SBIN.csv ├── VWAP_included_stock_price_prediction.ipynb ├── buy_sell_recommendation_system.ipynb ├── candlestick_chart.html @@ -63,7 +70,20 @@ │ ├── 085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg │ ├── 6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg │ └── f23e9194-72de-438d-bd69-744667680d3e.jpeg +├── main.py +├── nifty_500.csv +├── prediction.pkl ├── reduced_redundancy_stock_price_prediction.ipynb ├── repo_structure.txt ├── requirements.txt -└── stock_market(complete).ipynb \ No newline at end of file +├── sentiment_model.h5 +├── static/ +│ └── css/ +│ ├── home.css +│ └── stock.css +├── stock_data.csv +├── stock_market(complete).ipynb +├── stock_sentimental.ipynb +└── templates/ + ├── home.html + └── stock.html \ No newline at end of file From 7af835d0637eb5f16821e70190707c671296860b Mon Sep 17 00:00:00 2001 From: Karthik P Date: Sun, 27 Oct 2024 13:32:42 +0530 Subject: [PATCH 2/5] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 399e97f..71f94b8 100644 --- a/README.md +++ b/README.md @@ -123,15 +123,15 @@ The sequence of all the algorithms used is as follows: ## 📊 Performance Metrics The **Root Mean Square Error (RMSE)** of all the following 10 Regression Algorithms is provided below: -![image](images\f23e9194-72de-438d-bd69-744667680d3e.jpeg) +![image](images/f23e9194-72de-438d-bd69-744667680d3e.jpeg) The **Mean Absolute Error (MAE)** of all the following 10 Regression Algorithms is provided below: -![image](images\085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg) +![image](images/085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg) The **Mean Absolute Percentage Error (MAPE)** of all the following 10 Regression Algorithms is provided below: -![image](images\6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg) +![image](images/6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg) ## 🔮 Future Work From 4f53aae43adc67ec373a270fda17256155860aa1 Mon Sep 17 00:00:00 2001 From: Karthik P Date: Sun, 27 Oct 2024 13:50:00 +0530 Subject: [PATCH 3/5] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 71f94b8..34cc946 100644 --- a/README.md +++ b/README.md @@ -51,10 +51,10 @@ Check the project structure here [Project Structure](PROJECT_STRUCTURE.md) 14. [📝 License](#-license) --- +## 🌞 Overview +This project aims to predict the stock prices of **The State Bank of India (SBI)** using various machine learning regression algorithms. By leveraging historical stock data sourced from Yahoo Finance, this project provides insights into the performance of different regression models in stock price prediction for SBI. -## 🌟 Overview - -This project focuses on predicting the stock prices of **The State Bank Of India** using machine learning regression algorithms. The dataset was collected from Yahoo Finance and contains historical stock data. +The primary objective is to compare model accuracy and performance metrics, such as RMSE, MAE, and MAPE, across multiple algorithms, ultimately identifying the most suitable regression approach for stock price forecasting. ## 🛠️ Features From a9219dc0e516df4c08456fcfb4a0fc7106c3863d Mon Sep 17 00:00:00 2001 From: Karthik P Date: Tue, 29 Oct 2024 07:22:55 +0530 Subject: [PATCH 4/5] Update README.md --- README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 34cc946..52756a9 100644 --- a/README.md +++ b/README.md @@ -123,15 +123,17 @@ The sequence of all the algorithms used is as follows: ## 📊 Performance Metrics The **Root Mean Square Error (RMSE)** of all the following 10 Regression Algorithms is provided below: -![image](images/f23e9194-72de-438d-bd69-744667680d3e.jpeg) +Description + The **Mean Absolute Error (MAE)** of all the following 10 Regression Algorithms is provided below: -![image](images/085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg) +Description + The **Mean Absolute Percentage Error (MAPE)** of all the following 10 Regression Algorithms is provided below: -![image](images/6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg) +Description ## 🔮 Future Work From 0c5bedb4f74b8e9a94b040b5e22248b75326a20b Mon Sep 17 00:00:00 2001 From: Karthik P Date: Tue, 29 Oct 2024 07:34:08 +0530 Subject: [PATCH 5/5] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 52756a9..bf3b17c 100644 --- a/README.md +++ b/README.md @@ -123,17 +123,17 @@ The sequence of all the algorithms used is as follows: ## 📊 Performance Metrics The **Root Mean Square Error (RMSE)** of all the following 10 Regression Algorithms is provided below: -Description +Performance-Metrices The **Mean Absolute Error (MAE)** of all the following 10 Regression Algorithms is provided below: -Description +Performance-Metrices The **Mean Absolute Percentage Error (MAPE)** of all the following 10 Regression Algorithms is provided below: -Description +Performance-Metrices ## 🔮 Future Work