Algorithmic execution
We build and operate automated strategies across centralized, decentralized and perpetual venues. The edge isn't a magic signal — it's disciplined execution and a risk engine that refuses to blow up, running every minute of every day.
Strategies
Layered buy/sell ladders that harvest volatility inside a range, re-centring as the market moves.
Dollar-cost averaging with rules-based scaling into positions and controlled averaging on drawdown.
Position sizing that flexes with regime and account value, capped hard to keep liquidation out of reach.
The risk engine
Most automated strategies die the same way — over-leveraged into a crash. Our systems are built the other way around: a risk layer sits above every strategy and can throttle, hedge or close before liquidation is ever in play.
Leverage is capped as a share of account value. Averaging has a floor. Positions are watched continuously against liquidation price, and the whole fleet reacts to the market regime rather than a single asset. The goal is to still be trading after the drawdown, not to explain it.
Exposure per symbol bounded as a percentage of capital, enforced across the multi-bot fleet.
Every position monitored against its liquidation price on a fast decision loop.
Strategies shift stance with a combined market signal, not one noisy asset.
Work with Nakrul
Tell us what you're building. We'll map the path from structuring to a live, traded, marketed asset — and quote the pieces you need.