Gladius is a Max-Pain, liquidation-anchored strategy: it enters when momentum, a volume-based liquidation proxy, and a trend flip converge on the point where crowded positioning is most likely to unwind. Every configuration must survive realistic costs before a single dollar follows it. Now live on Binance.
Gladius does not chase a single indicator. It waits for several independent lenses to agree on a confirmed bar close — the "max pain" point where over-extended positioning is most likely to be flushed. Just as important is what surrounds the edge: a validation engine that tilts every assumption against itself, and a live executor that rests protection on the exchange the instant a position opens.
A momentum oscillator read on a higher timeframe than the trading chart, shifted to a confirmed prior bar so the signal cannot repaint. It captures statistically stretched conditions without reacting to an unfinished candle.
A volume Z-score that flags abnormal, one-sided volume spikes — the fingerprint of a liquidation cascade. This is the max-pain tell: the moment forced sellers or buyers are being flushed.
A Supertrend-style filter that must flip in the direction of the trade close to the signal bar, confirming that structure is turning rather than merely pausing. A trade fires only when all three line up within a tight recency window.
Each signal carries a conviction score, so when capital is scarce the strongest signals are funded first. Exact indicator periods, thresholds, and the confluence recency window are held in the internal technical summary and are not published here.
Every position carries a hard stop. In live trading it is rested on the exchange as a reduce-only, fail-safe stop the instant a position opens — so protection survives even if the signal server or network does not.
Once a position moves into profit, a trailing stop arms and follows the high-water mark. The validator applies a deliberately pessimistic within-bar convention, so backtested exits are never flattered.
Deployment is capped so total exposure asymptotes toward a ceiling and can never exceed it. Each exchange is a separate, sealed pool — margin cannot move between venues, so each self-limits independently.
If an opposite signal fires while a position is open, the strategy evaluates the reversal before the trailing stop, so a genuine flip is acted on rather than being quietly closed out at a trail.
A single administrative control can block all new entries and reversal re-opens while always continuing to honor exits and stops.
Duplicate alerts are ignored. On every restart the executor treats the exchange as the source of truth, rebuilding its view of open positions and re-arming any protective stop it finds missing.
The engine previously marketed as "Max Pain" is now named Gladius — the same product, renamed. Max Pain's earlier backtest and live bot computed signals with different code, which produced fantasy results. Gladius shares one signal core between validation and live execution so the two can never quietly diverge. That is the entire point of the rework, and the track record is framed with that in mind.
On un-tuned baseline settings the strategy showed a roughly 71% win rate but a negative net return once realistic costs were applied. That result was not hidden — it is the proof that the engine is honest and that the promotion gate does its job. A high win rate alone is not an edge.
Rather than optimizing once and reporting the same period, Gladius uses rolling calendar windows across 2023-2026. An in-sample window selects eligible configurations; the strategy is then measured out-of-sample on fixed live parameters with no re-optimization. Out-of-sample spans are stitched into one continuous curve to measure persistence.
Several configurations that a single in-sample/out-of-sample split had flagged as robust were rejected by the full walk-forward as multiple-comparisons luck. Surviving configurations are classified by durability, from consistently net-positive contributors down to names with no demonstrable edge, which are excluded.
Every backtest applies taker fees on each side, adverse slippage, real 8-hour funding, intrabar hard-stop hits, and lot-size and minimum-notional constraints. The headline metric is return per margin-day — net profit per dollar-day of margin deployed — not raw return. Specific figures, gate thresholds, and window sizes live in the technical summary. Results are proof, not a recipe.
Gladius trades on Binance as its live venue today. On entry the executor reads live balances, sizes from the live mark price, places the order, and rests a reduce-only fail-safe stop on the exchange. Positions are isolated-margin. Custody stays with the exchange under your own API credentials — Soomario never takes custody.
Binance copy trading is launching soon, so you can mirror Gladius in your own account with custody under your own keys. Join the Discord waitlist to be notified the moment it goes live. A Hyperliquid vault is planned for a later phase.
This is a live strategy trading leveraged perpetual futures. Leverage magnifies losses as well as gains; loss of capital is possible, including liquidation.
The validator and the live signal source are two faithful implementations of one spec, cross-anchored against real charts. Parity is spot-checked, not automatically enforced — drift is watched for rather than machine-guaranteed.
Adapters for additional venues are structurally complete. If more than one venue were enabled, the same signal would open a position on each, so aggregate exposure could exceed a single venue's cap. On Binance alone today this does not apply.
Past and backtested performance do not guarantee future results. All figures are net of modeled costs and are historical or simulated. Nothing here is investment advice.
Gladius is live on Binance today. Binance copy trading launches soon — join the Discord waitlist to be first in line. A Hyperliquid vault is planned for later.
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