Financial Analysis

A couple of months ago we began to work silently on a new set of features requested by users and clients that are finally coming to light. The final objective is to use the pipeline's engine to perform full no-code financial analysis, trading strategy design, and portfolio backtesting.

As a first step towards this goal, we have just launched a new step on the pipelines to estimate 130 metrics on financial assets, Metrics include a number of cycles, momentum, volatility and volume Indicators, standard overlap studies, patterns recognition techniques, or statistic functions.

This is an example dataset of every metric estimated for AAPL

Check out this insights for a full list of functions

Calculating any metrics involves two steps:

  1. Load the financial data you want to analyze. Most of the metrics will require open, close, high, low, volume variables to work properly. You can load data directly from Yahoo Finance (see more below)
  2. Add a step "Technical analysis". The interface is quite straightforward. Select the function group, the function, the parameters, the prefix (optional) and press save. The new variables will be added to the dataset.

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Luciano Cohan

Written by

Luciano Cohan

Co-Fundador de Alphacast. Ex Subsecretario de Programación Macroeconómica. Data Science. Creando una plataforma para el trabajo colaborativo en economías

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