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.
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
Backtesting: how to test trading strategies properly
Backtesting often looks like the most convincing stage of trading strategy development: load historical data, run the entry and exit rules, get an equity curve, calculate return and drawdown. If the chart rises, it is tempting to think the strategy has been proven.
4/25/2026