Welcome to the ADA Project!

ADA v1.3.3

Now in the present!

ADA1 Public API.

Abstract:
We see patterns in the numbers, these patters are following a context, therefore a syntax but
this in fact can be very frustrating for things like the nature of the rain, a problem
we treat with RNN LSTM Neural Network for Timeseries forecasting, this model is intended to be a starting point
for a research on LSTM Deep Learning for Forecasting on Stock Market Analysis.

Deep Learning Stock Market Forecasting System

Insights:

• Model: ADAcore v1.1b (Already trained.)

• Forecasting functions 1-day to 7-day.

• Share differentiation between forecasts.

• Revenue calculator base on forecast.

• Trend Signal (Buy/Sell)

Install

pip install -i https://test.pypi.org/simple/ adaforecasts==1.3.3

How to use:

import ada.analysis.forecasts as ada

x = ada.forecast('AAPL')

print(x)

Output:

Current Price: 145.4 Forecast (1 Period): 143.14865