What ProblemDoes It Solve?
VESKALD solves one of the biggest problems in algorithmic trading: strategies that appear profitable in unrealistic backtests but fail in live markets. By combining realistic simulations, professional validation techniques, and AI assisted research, it helps traders identify overfitting and improve strategy robustness before risking capital.
I think realistic validation is where a lot of trading strategies fall apart. It's easy to optimize for a backtest; it's much harder to build something that survives changing market conditions. Focusing on robustness instead of just returns feels like the right direction.
Exactly this. Returns are the easy number to chase, robustness across changing conditions is the thing that actually keeps you alive - and it's much harder to fake. We built the whole product around exactly that gap: test under the conditions you'll really trade in, and get told plainly when there's no durable edge instead of a fitted curve.
That's the part I found most interesting too.
I don't think the bigger strategic decision is how to measure robustness.
It's the decision your product is quietly making every time it tells someone they do—or don't—have a durable edge.
I have a couple of thoughts on that which I don't think fit well in a thread. If you're interested, what's the best email to reach you on?
Would like to hear where your thinking goes on it.
team@veskald[.]com
Thanks for sharing your email.
I've just sent it over. Looking forward to hearing your thoughts whenever you have a chance.