This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.
☆54Aug 25, 2024Updated last year
Alternatives and similar repositories for Stock-Prices-Prediction-ML-Flask-Dashboard
Users that are interested in Stock-Prices-Prediction-ML-Flask-Dashboard are comparing it to the libraries listed below
Sorting:
- Visualising stock price predictions for several Machine Learning models using DASH, Python☆16Jul 28, 2022Updated 3 years ago
- Predicting stock market prices using RNN with LSTM☆12Oct 28, 2019Updated 6 years ago
- Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI☆16Dec 9, 2021Updated 4 years ago
- Machine Learning Quick Reference, published by Packt☆17Jan 30, 2023Updated 3 years ago
- 💰 Interactive dashboard for Stock Market Investments☆43Dec 2, 2025Updated 3 months ago
- Using machine learning to predict/forecast the future trend of stock prices.☆46Feb 24, 2022Updated 4 years ago
- It is a live KLSE index and components tracking dashboard!☆15Nov 29, 2018Updated 7 years ago
- Creating a stock market dashboard from an external API that tracks daily performance of stocks☆16Jun 22, 2022Updated 3 years ago
- Introdução a séries temporais☆12Jun 27, 2020Updated 5 years ago
- Finance Dashboard : Built on Flask, Data from OpenBB and Views on Plotly-Dash.☆17Feb 6, 2023Updated 3 years ago
- Stock analysis and prediction - fundamental, quantitative, technical analysis and machine learning.☆13May 1, 2023Updated 2 years ago
- Dynamic delta hedging (DDH) is a trading strategy that involves hedging a non-linear position with linear instruments. Linear instruments…☆16Nov 24, 2023Updated 2 years ago
- Connect all needed electronics to NodeMCU, add life to them with a help of programming, install HomeAssistant on PC and establish communi…☆11Feb 18, 2021Updated 5 years ago
- Repositório contendo a documentação e artefatos gerados durante a disciplina de Requisitos de Software, ministrada no curso de Engenharia…☆12Nov 13, 2017Updated 8 years ago
- A collection of quantitative finance notebooks. Including MPT, Monte Carlo simulations and Machine Learning algorithms☆15Sep 26, 2022Updated 3 years ago
- Exemplo de implementação em ASP.NET Core 3.1 de API REST para cálculo de juros compostos, com testes de unidade baseados nos frameworks x…☆11Sep 9, 2020Updated 5 years ago
- Archive of my older research papers on optimization☆10Jan 20, 2021Updated 5 years ago
- An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.☆14Dec 18, 2024Updated last year
- Options Dynamic Delta Hedge Simulation☆16Sep 23, 2020Updated 5 years ago
- This repository contains an automated trading system using machine learning for stock return prediction, position sizing and generating e…☆14Jun 15, 2019Updated 6 years ago
- Simulation of delta hedging☆18Jul 15, 2020Updated 5 years ago
- Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance☆14Oct 15, 2019Updated 6 years ago
- ☆14Jun 20, 2019Updated 6 years ago
- Dynamic calibration framework for low-cost PM2.5 sensors☆16Aug 24, 2024Updated last year
- Multivariate Time series Analysis Using LSTM & ARIMA☆38Sep 20, 2019Updated 6 years ago
- This is a simple Linear Regression implementation machine learning model and deployment of the same using flask. Data-set of Vadodara Hou…☆10Jan 8, 2020Updated 6 years ago
- This repository contains code to download historical data for more than 2000 days and intraday data for more than 100 days. Download the …☆12Aug 20, 2023Updated 2 years ago
- 个人开发工具库☆17Apr 30, 2022Updated 3 years ago
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆27Jul 18, 2020Updated 5 years ago
- Material from presentations☆13Jun 10, 2025Updated 9 months ago
- Excel Macros from LinkedIn☆10Aug 13, 2021Updated 4 years ago
- Python code for "Fast Bayesian nonnegative matrix factorisation and tri-factorisation", presented at NIPS 2016 Workshop on Advances in Ap…☆20Jun 10, 2018Updated 7 years ago
- A Python implementation of the fuzzy clustering algorithm C-Means and its improved version Gustafson-Kessel☆14Jul 17, 2019Updated 6 years ago
- Microsoft Power BI Quick Start Guide, published by Packt☆23Jan 18, 2023Updated 3 years ago
- ☆10Sep 18, 2021Updated 4 years ago
- ☆15Oct 1, 2021Updated 4 years ago
- Catalogue to browse FCF Real-Estate Monaco properties for sale & renting (2016)☆20Feb 20, 2020Updated 6 years ago
- Solidworks macros I've written over the years.☆14May 8, 2024Updated last year
- A python program that applies a choice of nonnegative matrix factorization (NMF) algorithms to a dataset for clustering.☆13Jun 10, 2019Updated 6 years ago