---
title: "Models"
description: "Quantitative models for trading and algorithmic execution."
url: "https://pythonparatrading.com/en/tag/models/"
lang: "en"
image: "https://pythonparatrading.com/og/en/tag/models.png"
---

# Models

> Quantitative models for trading and algorithmic execution.

## Research (4)

- [Seasonality in Python II - Backtesting](https://pythonparatrading.com/en/seasonality-intraday-backtesting/) · 2025-04-08 — Discover how to identify intraday seasonal patterns in futures and validate trading strategies through backtesting. Learn to use Python to analyze historical data, optimize parameters, and evaluate the performance of…
- [Central Banks and Monetary Policy in Python](https://pythonparatrading.com/en/monetary-policy-in-python/) · 2023-06-08 — In the complex field of economics and monetary policy, it is essential to have the ability to analyze and understand trends and the effects of economic policies. In this context, Python, a versatile programming…
- [Quantitative Models and Algorithmic Execution](https://pythonparatrading.com/en/quantitative-models-algorithmic-execution/) · 2023-06-03 — In this article we will discuss quantitative models in trading. We will explore different quantitative trading models and how they are executed through algorithms.
- [Stochastic Processes - Random Walks](https://pythonparatrading.com/en/stochastic-processes/) · 2023-05-16 — In probability theory, a stochastic process is a mathematical concept used to represent random quantities that vary with time or to characterize a sequence of random variables that evolve as a function of another…

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