Algoriz is a no-code algorithmic trading platform in which strategies are written in plain English and converted by its AI into testable algorithms. The homepage demonstrates typing a rule such as Bitcoin crossing below the lower Bollinger band, and the tool turns it into a backtest with performance, volatility, Sharpe and Sortino ratios and win rate. It covers equities and cryptocurrencies, supports technical indicators such as Bollinger Bands and moving averages, includes paper trading, and third-party reviews report live execution through Alpaca and Interactive Brokers.
Natural-language input lowers the barrier to expressing a rule, but it does not make a strategy sound. A backtest reports how a rule would have performed on past data and says little about the future, and overfitting to history is the usual failure, so treat the performance figures in the homepage demo as an illustration, not a forecast. Press coverage and a startup database show the company founded in 2015 by Soraya Taghavi in New York, through Y Combinator’s winter 2016 batch and with a small seed round in 2017, which is reassuring about continuity and says nothing about returns.
A free Lite plan is reported to include two algorithms, one screener, paper trading and a one-year backtest for stocks. The pricing page renders client-side, so paid plan prices could not be read and should be confirmed on the site. Trading carries risk of loss, and automated strategies can lose money faster than manual ones, so start with paper trading and small live positions. Algoriz makes no return promises on the pages reviewed, which is the line between a tool and a scheme.
