Algorithmic trading, crypto and forex.
Discretionary trading runs on instinct in the moment. Algorithmic trading runs on rules written down before the moment arrives, then followed exactly whether the last five trades won or lost. That difference is the entire pitch: a system cannot get scared, get greedy, or get even. It executes the plan, and the plan is the only thing anyone should be arguing about, tuning the plan itself, not overriding it live under pressure.
A real trading system earns its capital through backtesting, not confidence. A strategy runs against years of historical crypto and forex price data before a single dollar of real capital touches it, and what gets measured is never just the win rate. Drawdown (how far equity falls before it recovers), the Sharpe ratio (how much return justifies how much risk taken), and behavior in the worst historical stretches on record all matter more than any single winning streak, because any strategy can look brilliant over a good three months.
Position sizing is where most retail traders actually lose money, not strategy selection. Risking a fixed, small percentage of capital per trade, and never scaling that up after a winning streak out of confidence, is the unglamorous discipline that keeps one bad week from erasing six good months. Crypto and forex both trade around the clock, across every timezone, with leverage available at a scale most other markets do not offer. That combination rewards process and punishes improvisation faster than almost any other market that exists.
KADUSHI.io is the real venture built on these principles: a high-frequency AI trading platform currently building inside the AW Ventures portfolio, engineered with the same discipline behind eight-figure FinTech platforms rather than a bolted-together retail bot. Specific strategy notes and live performance metrics are not published yet, and will not be, until there is a track record worth standing behind publicly.