AI-Trader
An AI-assisted trading workspace for crypto, forex, and equities—research, monitor, and automate in one place.
The product is currently in closed beta.
Markets we cover
One product to watch markets, explore ideas, and automate parts of your workflow.
Crypto
Digital assets and volatile markets.
Forex
Currency pairs and macro-driven regimes.
Stocks
Equities and systematic approaches.
Closed beta
We're rolling out access gradually and sharing updates as the product grows. If AI trading interests you, leave your email below.
Latest from the blog
Product notes, engineering updates, and news.
Architecture of an algorithmic trading system
An algorithmic trading system can look like a set of separate modules: data loading, strategy, backtesting, execution, risk management, logs, monitoring. But in real operation, the important part is not the list of components. It is the boundaries between them. Those boundaries are where the link between a convincing research result and the real market most often breaks.
5/31/2026
Trading strategy metrics: how to tell whether a strategy is good
A good trading strategy is not the one with the highest return in a single backtest. Return without context says very little: it can come from excessive leverage, one rare lucky event, parameter overfitting, or a risk that simply has not appeared in the selected history yet.
5/30/2026
Main types of trading strategies in algorithmic trading
Algorithmic trading does not start with the question "where should I buy?" or with choosing an indicator. It starts with a hypothesis about why the market sometimes behaves non-randomly: it continues a move, reverts to an average, temporarily diverges between related instruments, pays for liquidity provision, or rewards the allocation of risk across assets.
5/5/2026