A focused case study on 4 previously under-the-radar OptimaShort strategies that have recently broken out into the spotlight. Hackworth OptimaShort — engineered with a neutral profile and increased short-bias — turned June's market dislocation into positive PnL across all four pairs.
Note on selection: This is a curated look at 4 OptimaShort strategies that have recently outperformed after long stretches as quiet performers. The market has many more profitable strategies on the leaderboard — these 4 are featured as illustrative case studies. The "underdog" strategies highlighted here may not always lead, and they may not always outperform. The right strategy depends on the prevailing market regime.
ZEC privacy sector event creates significant market dislocation. The OptimaShort engine's short-bias positioning captures the opportunity across affected pairs.
Bitcoin and ETH experience significant price adjustments throughout June. Fear & Greed Index at 28 — ideal conditions for the OptimaShort engine's short-bias signals to thrive.
Broad altcoin price adjustments throughout June create a favorable environment for the OptimaShort engine's short-bias signals across DOGE, ADA, SOL, and LINK.
| Pair | June ROI | Q2 ROI | YTD 2026 | Cumul. ROI | Sharpe | 30D DD | Win % | Trades | Ver |
|---|---|---|---|---|---|---|---|---|---|
| DOGE | +32.8% | +24.3% | +30.3% | +1,876.7% | 3.46 | 3.40% | 52.9% | 3,511 | V2 |
| ADA | +14.9% | +14.0% | +26.8% | +808.0% | 2.43 | 6.50% | 52.0% | 2,017 | V1 |
| SOL | +13.5% | +16.5% | +18.6% | +524.0% | 3.18 | 2.50% | 51.7% | 263 | V1 |
| LINK | +9.7% | +12.2% | +13.4% | +897.3% | 2.60 | 6.10% | 51.0% | 5,121 | V1 |
The cumulative ROI column is included for context only — it reflects performance since each strategy's inception and is not representative of any single time period. The 30D Max DD column is discussed in detail in the drawdown section below.
A direct side-by-side comparison of each strategy's all-time maximum drawdown against its drawdown over the past 30 days, visualized as paired horizontal bars. For directional strategies like OptimaShort, the 30D DD often sits well below the historical worst — a sign that the engine's current risk profile is in a healthier regime than its long-term extreme.
Each row pairs the strategy's all-time max drawdown (white bar) with its 30-day max drawdown for June 2026 (blue bar). Bar width is normalized to the worst historical drawdown in the cohort (SOL @ 23.88%) so the 30D bars can be read as a direct visual percentage of that ceiling.
For directional strategies, annual PnL is rarely distributed evenly across 12 months. In most years, the majority of a strategy's return is delivered in a handful of high-conviction periods when the market regime aligns with its alpha signals.
DOGE delivered the highest June ROI at +32.8%, powered by the V2 engine's improved signal filtering. With the highest Sharpe (3.46) in the cohort and a contained 30D max drawdown of just 3.40% — well below its 17.99% historical max — DOGE exemplifies the OptimaShort engine at full capacity. 3,511 lifetime trades with a 52.9% win rate demonstrate the V2 model's improved signal quality. The low 16.4% net exposure confirms capital efficiency: outsized returns from minimal capital at risk.
The Hackworth OptimaShort is a SOTA multi-alpha strategy engine powered by proprietary deep learning, designed with a neutral market profile with increased short-bias. June 2026 showcased the engine's structural advantage — all 4 strategies delivered positive ROI, translating market dislocation directly into alpha.
DOGE's June +32.8% ROI — the highest in the cohort — paired with the highest Sharpe (3.46) and second-lowest historical max DD (17.99%) make it the risk-adjusted champion of the month. The V2 engine's improved signal filtering is the clear differentiator, delivering outsized alpha with minimal capital at risk.
ADA's lowest historical max drawdown (16.46%), a strong June (+14.9%), and a contained 30D DD of 6.50% show that the V1 engine delivers robust alpha with the smoothest equity curve in the cohort. The dependable workhorse.
SOL's 263 lifetime trades generating +524% cumulative ROI is the epitome of capital efficiency. June's +13.5% was its best 2026 month, and the engine's selective positioning (30D DD 2.50% vs. historical max 23.88%) shows disciplined risk control.
LINK's +9.7% June ROI came with a 30D drawdown of 6.10% — still well below its 18.95% historical max, a sign of contained risk during the volatile month. 5,121 lifetime trades and active signal generation make LINK a dependable workhorse for diversified deployment.
Beyond the strong June readout from the current Hackworth OptimaShort engine, AlphaNet is preparing a set of meaningful upgrades to its research, signal, and execution stack. The three initiatives below are slated for release over the coming months.
Capturing alpha in downtrend markets — especially chop mixed with slight downtrend — has long been a difficult regime for directional engines. V4 has been specifically designed and optimized for this problem, with a shorting stack re-engineered to extract cleaner signals from noisy, range-bound-but-bearish tape.
V4 is optimized for more stable performance across market regimes. The goal is a flatter equity curve — fewer sharp givebacks — particularly during transitions between uptrend, downtrend, and chop.
A number of signals and alpha sources in the V4 engine will be Transformer-architecture heavy. The trade-off is intentional: V4 will require higher training and inference compute in exchange for smoother signals and better regime adaptation.
Archimedes is a new strategy engine built as the next generation of deep-learning-based SOTA strategies at AlphaNet. It expands and diversifies the alpha source pool to roughly 2x–3x the size of the Hackworth Series, giving the engine a much wider opportunity set to draw from on every trading cycle.
Archimedes executes at a higher frequency than the Hackworth Series, and operates with lower total capacity — a deliberate design choice to preserve edge and execution quality as signals scale.
Archimedes will be the first premium offering on AlphaNet. Access will be gated and granted only to certain users based on points, activity, and role — a tier designed for the most engaged members of the ecosystem.
A new robustness and explainability framework will be implemented, built directly on AlphaNet's ongoing research. The main principle of the framework is anchored to an associated research paper that the team will publish alongside the release.
▍ Research Paper READ →The goal is to give users — and the team itself — a much clearer view into why the engines are making the trades they are, and a structured way to verify that performance remains robust across regimes, not just over the most recent favorable window. Expect a deeper, more transparent read on the signals driving PnL.