I will build a stock price and time series forecasting model using python

Want to understand where your data is headed next? I'll build a custom time 

series forecasting model to predict future trends whether it's stock prices, 

sales, demand, or any sequential data.

What you get:

Data cleaning & preprocessing of your time series

ARIMA-based forecasting model tuned to your data

Accuracy metrics (RMSE, MAE) so you know how reliable the forecast is

Interactive Plotly visualizations of trend, seasonality, and forecast range

Optional: live Flask web app dashboard you or your team can access anytime

I've built and deployed this exact pipeline before (ARIMA + Flask + Plotly), 

so you're getting a tested, working system not a one-off script.

Important: forecasts are analytical/educational tools based on historical 

patterns not financial advice, and no forecast (including mine) can 

guarantee future market movements.

Works great for: stock/crypto price trends, sales forecasting, demand 

planning, website traffic prediction, sensor/IoT time series data.

Send me your historical data (CSV with date + value columns) and I'll get 

started. Message me first if you're unsure which package fits your timeline.