I still have no idea how to use this to predict one day ahead, I have tried ARIMA and LSTM both maps the chart perfectly but other than that i have no idea, any referneces to study ?
Get historical price data as well as historical sentiments / tweets from the past N years or so that reference the stock or company. Create sentiment + pricing pairs (so find a way to sum, average, or otherwise normalize sentiment - you might also want to make the price a tuple or vector) and then train your model on that: sentiment score and current price as input, new price as output. You'll probably have to write some additional tooling to munge and prepare this data and then feed it into the model pipeline