Stock Comprehensive Data Scraping, Visualization, and Next Date Prediction

Hi, I am an experience mathematician and stock data analyst, i can clean you dat, visualize your data and also can predict for the next data values. please contact me here. I will help you

Hi There, I gone through your requirement and I can quickly start work on it. I am web scraping and data analysis expert. I have 10 years of working exposure on web scraping using python+selenium, BeautifySoap, UiPath etc. I have delivered many scraping projects to different clients. Feel free to contact me to discuss further on your requirement.

With over 8 years of experience in data scraping, visualization, and machine learning, I am confident that I am the best fit to complete this comprehensive project involving stock market data analysis. How I will be completing this project: - I will start by scraping historical stock data from reputable sources like Yahoo Finance and Quandl. - Relevant data points such as open, high, low, close, and volume will be extracted and stored in a structured format. - Interactive and dynamic visualizations will be created using libraries such as Matplotlib, Seaborn, and Plotly to showcase stock price movements, trends, and patterns. - A machine learning model will be developed to predict stock prices for the next date using techniques like linear regression, decision trees, and random forests. - Data analysis will be conducted to identify trends, patterns, and correlations, as well as calculate key metrics like moving averages, RSI, and Bollinger Bands. What tech stack I will be following: - Python for data scraping, visualization, and machine learning - Libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Plotly - Jupyter Notebooks for code development and documentation I have previously worked on similar solutions where I have successfully scraped data, visualized trends, and made predictions using machine learning models. I am excited about the opportunity to leverage my skills and experience to deliver high-

With 8 years of experience in data scraping, visualization, and machine learning, I am the best fit to complete this comprehensive project involving stock market data. I have the relevant skills to scrape historical stock data, visualize trends, and predict future stock prices. How I will be completing this project: - I will start by scraping historical stock data from reputable sources like Yahoo Finance and Quandl. - Next, I will extract relevant data points and store the data in a structured format such as CSV or JSON. - Using libraries like Matplotlib, Seaborn, and Plotly, I will create interactive visualizations to analyze stock price movements and patterns. - I will develop a machine learning model to predict stock prices for the next date, utilizing techniques like linear regression and decision trees. - Finally, I will perform data analysis to identify trends, calculate key metrics, and identify potential trading opportunities and risks. What tech stack I will be following: - Web scraping: Python, BeautifulSoup, Scrapy - Data analysis: Pandas, NumPy - Data visualization: Matplotlib, Seaborn, Plotly - Machine learning: scikit-learn, TensorFlow I have worked on similar solutions in the past, where I have successfully scraped data, visualized trends, and predicted future outcomes. My expertise in this field makes me confident in delivering high-quality results for this project.

Hi , i can assist you in developing this stock forecasts model for all steps from data collection till model design and forecasts with performance as high as 98%. I have developed stocks and bitcoins forecasting models , dashboards using deep learning modules. I can fully assist you in this and can also share my recent projects involving forecasts models.

Through my extensive experience as a freelance Java developer, I've mastered key relevant skills for your project including web scraping, data analysis, and machine learning. I am well-versed with APIs such as Yahoo Finance and Quandl that will enable me to efficiently scrape the historical stock data you need, extracting and storing the pertinent data in an organized manner. Not only can I perform an exploratory data analysis to identify trends and correlations in your dataset, but I can also calculate key metrics such as moving averages, RSI, and Bollinger Bands to assist your team in identifying potential trading opportunities and risks. Moreover, my understanding of machine learning techniques like linear regression, decision trees, and random forests will prove invaluable in developing the models necessary for next date stock price prediction. I rigorously evaluate model performance using metrics such as mean squared error and mean absolute error to ensure accuracy.

I specialize in scraping historical stock data, creating interactive visualizations, and predicting stock prices using machine learning techniques like regression & decision trees. I’ll handle data from sources like Yahoo Finance and Quandl, design insightful dashboards, and identify key trading metrics. Let’s transform your data into actionable insights! ??

I may be new to freelancing but don't let my lack of experience fool you. I'm an individual with a passion for learning and upskilling myself in areas that intrigue me - such as data analysis and, specifically, Python. I've gained a good command over Python programming, which is critical for your stock comprehensive data scraping, visualization and next date prediction project. With regards to your specific skills requirement, I have been using Python for automating tasks, web scraping, and performing data analysis proficiently. In addition to my Python expertise, I also possess a deep enthusiasm for data visualisation. My stint with graphic design means that I comprehend the importance of creating clear, engaging and interactive visualizations. This project's scope seems tailor-made for me. It aligns perfectly with my existing skillset while also allowing me to further enhance my knowledgebase. I am confident that with my dedication, curiosity to identify trends and patterns in data - a key skill required for this proj

As a data expert skilled in web scraping, data visualization, and machine learning, I can deliver a robust solution for your stock market project. I will scrape high-quality historical data from reputable sources, structure it for analysis, and provide interactive visualizations to highlight trends and patterns. Using advanced machine learning models like random forests or linear regression, I’ll predict next-day stock prices and evaluate performance with precise metrics. Additionally, I’ll conduct detailed exploratory analysis, calculate key indicators such as moving averages and RSI, and identify trading opportunities. With my expertise, you’ll gain a comprehensive system for data-driven insights and predictions.

As a seasoned data analyst with a significant background in Excel, I bring a methodical and detail-oriented approach to the task at hand. Your project requiring stock data scraping, analysis and machine learning are within my wheelhouse as I have carried out similar projects successfully. Regarding data scraping, I am well-versed in the tools, technologies, and automated scripts required to scrape historical stock data from various sources. Furthermore, my proficiency in Python and R will help me effectively store the scraped data in the desired structured format for easy analysis. My data visualization skills span Matplotlib, Seaborn and Plotly; tools that will help me transform complex stock market trends into interactive and easy-to-understand dashboards. My machine learning experience using techniques like linear regression, decision trees, random forests will be highly valuable for developing a model that can predict future stock prices accurately. Lastly, I possess strong data analysis skills such as calculating moving averages, RSI and identifying trading opportunities. With these skills and experience, let's make your project a grand success!

Require to know more about this but I'm one of the candidates you should hire- I'll provide you with stock market insights such as intraday and bi weekly analysis... Might use simple excel templates too if required... thank you.