Algo-Hunter is a privately held quantitative trading firm operating a fleet of autonomous strategies across digital assets, equities, and derivatives. We deploy proprietary capital only — no funds under management, no signals, no courses.
Our systems enter and exit without human hesitation. Rules, not moods.
Years of tick data, walk-forward validation, and stress tests before a strategy sees live capital.
Per-trade caps, daily kill-switches, and portfolio-level drawdown limits. Survival first, edge second.
Momentum, mean-reversion, and volatility carry — allocated dynamically as markets shift.
Both are proprietary and internal. Not sold. Not licensed. They exist to run our capital.
Continuously scans markets across crypto, equities, forex and commodities — surfacing high-conviction bias signals with entry, target and invalidation levels before the move.
Silent execution engine that acts on validated signals — sized, hedged and risk-capped. Enters, manages and exits positions without hesitation, 24/7.
Algo-Hunter is closed to the public. No funded challenges, no affiliate programs, no signal groups. Just a small operator team and a fleet of automated strategies quietly compounding.
> algo-hunter engine v3.2
[ok] loading strategy: momentum-hf.py
[ok] loading strategy: vol-carry.py
[ok] risk-manager attached | daily-loss=-2.00%
[ok] latency: 14ms fills: 128/128
[live] session pnl: +1.83%Access to the internal dashboard is granted by access key. If you have one, sign in below.
Sign in with access keyTrading in financial markets — including crypto, equities, forex, futures and derivatives — carries a substantial risk of loss and is not suitable for every individual. Leveraged positions can result in losses that exceed initial capital. Past performance of any strategy, backtest, or live system is not indicative of future results. Algo-Hunter is a private firm operating proprietary capital; nothing on this site constitutes financial, investment, tax or legal advice, nor a solicitation to invest. No client funds are accepted. Any performance figures shown may reflect internal, simulated, or illustrative data and should not be relied upon as a promise of returns.