About MarketRider
An algorithm with a real name behind it.
MarketRider is an investment signal system: an algorithm that combines statistics and artificial intelligence to spot opportunities in stocks and ETFs — and let you know, in plain language, when an asset enters its accumulation zone or its sell zone.
It is not a brokerage or a fund: MarketRider informs you and you decide. The system watches your assets every market day, analyzes years of historical behavior and only speaks up when something changes. Every signal it generates is published in a public track record, with its result, so you don’t have to take our word for it: you can check.
Created by Amir Canto
Systems Engineer · Statistics Specialist · Trader
MarketRider grew out of more than a decade combining two crafts: building software and trading the markets. Amir designed, tested and refined the algorithm for years with his own capital — reaching a return of ≈1,250% in one year — before turning it into a platform anyone can use. An exceptional result, not a promise: that is why every signal the system produces is published in the public track record.
- Systems Engineer with a Specialization in Statistics from the Universidad Autónoma de Yucatán
- Diploma in Data Science and Machine Learning applied to Financial Markets from ITAM
- Currently pursuing a Master’s in Artificial Intelligence at the Universidad Autónoma de Yucatán
- Long career as a systems and web developer
- Part-time trader in futures, stocks and ETFs
- Designs and tests new trading systems in his spare time
Why it exists
Markets overreact: fear and euphoria create opportunities most people don’t see in time. Spotting them is usually reserved for people who can code, read statistics or pay for expensive tools. MarketRider puts it in a simple table with three states: accumulation, waiting or sell.