Quant-grade strategies.
Built for the solo trader.
The miner finds candidates. The workshop refines them. The floor runs them with paper capital. No quant team, no code — one operator does the work.
A signal that decides when capital enters the market. Read on every candle, evaluated on every tick.
Not one signal — two, three, sometimes a sequence. Bound by AND or THEN. The strategy waits for a confluence, not a single tell.
The mining engine sweeps thousands of parameter combinations to find the one that actually held — across the full range of market regimes.
Profit-take, stop, time-out, or signal reversal. Every trade has an end, fixed in advance, before any capital is committed.
A signal that decides when capital enters the market. Read on every candle, evaluated on every tick.
Not one signal — two, three, sometimes a sequence. Bound by AND or THEN. The strategy waits for a confluence, not a single tell.
The mining engine sweeps thousands of parameter combinations to find the one that actually held — across the full range of market regimes.
Profit-take, stop, time-out, or signal reversal. Every trade has an end, fixed in advance, before any capital is committed.
Quantune mines fifty structures in parallel. The weak — overfit, unstable, untradeable — die in walk-forward. The champion held its consistency across every rolling window.
Quantune mines fifty structures in parallel. The weak — overfit, unstable, untradeable — die in walk-forward.
The champion held its consistency across every rolling window. It is the one we would actually deploy.
Your three years of price history are split into rolling windows. Each window has a training half and a testing half — never overlapping.
The strategy is fit on the in-sample window. Parameters are optimized. Logic is locked. The strategy now has a working hypothesis.
The exact same strategy is applied to the out-of-sample window. Data the optimizer has never seen. If the alpha holds, the strategy is real. If it breaks, you know before risking capital.
Your three years of price history are split into rolling windows. Each window has a training half and a testing half — never overlapping.
The strategy is fit on the in-sample window. Parameters are optimized. Logic is locked. The strategy now has a working hypothesis.
The exact same strategy is applied to the out-of-sample window. Data the optimizer has never seen. If the alpha holds, the strategy is real. If it breaks, you know before risking capital.
Three operators, three approaches. None of them are quants. All of them found edges that held out-of-sample.
No card. No download. Press the button and watch a real session play out — entry condition, exit condition, walk-forward verdict, in thirty seconds.
30-second session · no card · no signup
5 backtests / day · no card required · no time limit