SD Hands Free
Institution-level automated futures trading.
Without watching a single chart.
Account Statement
Built for traders who are tired of guessing.
Most people do not fail at trading because of bad ideas. They fail because of inconsistent execution, emotional overrides, and time they do not have. This engine was designed to solve those problems directly.
The Track Record · Apr 1 to Jun 18
What the engine pulled off on a $150,000 funded simulation. Running at the High Risk setting, here is exactly how the documented run broke down, from the single upfront fee to the cash that came back out.
Not one bot. A coordinated system.
The engine orchestrates and scales multiple advanced algorithmic models at the same time, so the equity curve stays smooth and no single strategy carries the account.
Hypothetical performance. Figures were not achieved by any actual account and have inherent limitations; they do not reflect actual trading. Strategies 1–4 show cumulative returns since each inception date shown (periods under one year — not annualized). Strategy 5 shows a compounded annual return over roughly six years. Drawdown dollar amounts are approximate, derived from each strategy's suggested minimum capital. No representation is made that any account will achieve similar results. Trading futures involves substantial risk of loss. Past performance is not indicative of future results.
One engine, tuned to your appetite.
You pick the risk profile and the engine scales sizing, exposure, and pacing to match it. The track record above reflects the High Risk configuration in full.
Meet Emil Adides
Emil has spent the last ten years designing, testing, and running automated trading systems, long before "set it and forget it" became a marketing phrase.
His flagship application coordinates five algorithmic models into a single risk-managed engine. From the underlying entry logic to the trailing drawdown lock mechanics, every layer is written down and fully documented.
The April-through-June run is the latest proof of a simple thesis: disciplined automation, scaled correctly, beats discretionary screen time over the long haul.
Only a few spots are open for this run.
To protect execution speed, server stability, and strict risk management, capacity on each run is hard-capped. We are taking a small number of select accounts and no more.