Systematic trading strategies, evaluated like an allocator does.
A daily-updated forward-test of 25 production strategies, published by DataFortress.cloud GmbH as a passive research record. Ranked by Sortino — risk-adjusted return, the only number that matters.
For professional investors
This is a passive information portal, not a marketing page. If you are a regulated fund, family office, or professional investor within the meaning of §67 WpHG and would like deeper analytics, the Due Diligence Questionnaire, or the full investor deck, please request access below.
- Due Diligence Questionnaire — operational, risk, and compliance answers in allocator format.
- Infrastructure & security — execution stack, key management, and continuity.
- Team Pedigree — who runs the book, what credentials, what capital is personally at risk.
How to invest
How to invest
Signal Access
Alerts via Email, WhatsApp, or Telegram. Executed manually by the investor.
- Open to retail investors
- Single strategy or Omni
- Educational signals
API Integration
Auto-execution into your Interactive Brokers account via our framework.
- Professional investors only
- Full framework access
- Haftungsdach SMA structure
Strategic Partner
Fully managed allocation through the GmbH (KVG or private placement).
- Professional investors only
- Deep integration
- KVG wrapper / Nachrangdarlehen
Within every tier, choose one strategy or Omni (a balanced portfolio of all bots).
Fit between cost, risk, and performance is decided in your free onboarding call.
Live strategy roster
Ranked by Sortino ratio (downside-adjusted risk premium). Every strategy is forward-tested daily against real market data from a common seed; returns are directly comparable across the table.
| # | Strategy | Sortino | Calmar | CAGR | Max DD | Profit factor | SPY corr | Days live |
|---|---|---|---|---|---|---|---|---|
| 1 | AdaptiveMeanReversionBot | 61.58 | 217.45 | 150.83% | -0.69% | 10.13 | 0.00 | 24 |
| 2 | SynthesizedHyperConvexityBot | 49.46 | 146.15 | 108.94% | -0.75% | 6.38 | 0.00 | 24 |
| 3 | TARegimeAdaptiveBot | 8.86 | 45.17 | 37.59% | -0.83% | 5.29 | 0.52 | 49 |
| 4 | GoldenButterflyMomBot | 5.76 | 23.43 | 16.53% | -0.71% | 2.18 | 0.00 | 24 |
| 5 | FearGreedBotQQQ | 5.51 | 4.63 | 27.97% | -6.04% | 2.06 | 0.64 | 80 |
| 6 | FearGreedBotQQQInverse | 3.48 | 4.14 | 26.49% | -6.39% | 1.75 | 0.77 | 79 |
| 7 | Benchmark_QQQ | 2.91 | 3.32 | 24.04% | -7.25% | 1.46 | 0.78 | 80 |
| 8 | Benchmark_FTWD | 2.79 | 3.66 | 19.53% | -5.33% | 1.56 | 0.69 | 80 |
| 9 | Benchmark_SPY | 2.46 | 2.38 | 14.99% | -6.30% | 1.39 | 0.82 | 80 |
| 10 | AIHedgeFundBot | 1.62 | 2.39 | 24.97% | -10.45% | 1.28 | 0.56 | 54 |
| 11 | DeepSeekToolBot | 1.21 | 1.99 | 12.27% | -6.15% | 1.15 | 0.61 | 49 |
| 12 | SharpePortfolioOptWeeklyBot | 0.64 | 0.35 | 2.38% | -6.76% | 1.09 | 0.52 | 79 |
| 13 | EURUSDTreeBot | 0.15 | 0.24 | 0.23% | -0.98% | 1.08 | 0.16 | 80 |
| 14 | RecursiveDecayHarvestBot | 0.00 | 90.39 | 150.13% | -1.66% | 8.07 | 0.00 | 24 |
| 15 | StockNewsSentimentBot | 0.00 | 0.00 | 0.00% | 0.00% | 0.00 | 0.00 | 24 |
| 16 | SwingTitaniumBot | 0.00 | 0.00 | 0.00% | 0.00% | 0.00 | 0.00 | 80 |
| 17 | XAUSyntheticMetalTreeBot | 0.00 | 0.00 | 8.43% | 0.00% | 0.00 | 0.10 | 79 |
| 18 | XAUZenbotTreeBot | 0.00 | 0.00 | 0.00% | 0.00% | 0.00 | 0.00 | 79 |
| 19 | adaptivemeanreversionbot | 0.00 | 0.00 | 0.00% | 0.00% | 0.00 | 0.00 | 1 |
| 20 | EarningsInsiderTiltBot | -0.16 | -0.49 | -2.39% | -4.84% | 0.98 | 0.62 | 49 |
| 21 | RegimeAdaptiveBot | -0.30 | -0.76 | -1.74% | -2.30% | 0.96 | 0.57 | 49 |
| 22 | GptBasedStrategyBTCTabased | -0.82 | -1.92 | -36.30% | -18.86% | 0.72 | 0.22 | 79 |
| 23 | SqueezeMomentumBot | -1.57 | -6.91 | -25.07% | -3.63% | 0.61 | 0.00 | 15 |
| 24 | TelegramSignalsBankBot | -1.70 | 0.00 | 0.00% | -100.00% | 0.27 | 0.00 | 36 |
| 25 | KronosTraderBot | -2.20 | -9.99 | -16.08% | -1.61% | 0.44 | 0.00 | 15 |
Click any strategy name for its investment thesis, full risk-adjusted metrics, drawdown profile, and historical backtest reference.
Engineering & Execution Pedigree
BaFin-Compliant Architecture
Infrastructure engineered by alumni of Atruvia. Deep experience bridging secure, heavily-regulated banking environments with modern predictive systems.
Petabyte-Scale Engineering
Proven track record architecting mission-critical data systems for BMW, Porsche, and HPE. Built from the ground up to handle high-velocity market feeds without systemic failure.
Strategy families
Strategies are grouped by the market inefficiency they target. A diversified allocator typically blends families rather than selecting within one.
- Tree-based ML — Gradient-boosted and random-forest models trading FX and metals on engineered features.
- Regime-adaptive — Detects market regimes (trend vs. mean-reversion) and switches strategy per regime.
- Sentiment & news — Trades on news flow, fear-greed indices, and aggregated sentiment signals.
- Kronos forecasting — Uses the Kronos time-series foundation model to forecast short-horizon returns.
- AI / LLM-driven — LLM-in-the-loop strategies: GPT, DeepSeek, and multi-agent hedge-fund setups.
- Momentum & swing — Classic momentum, Bollinger/Keltner squeeze, and multi-day swing strategies.
- Portfolio optimisation — Sharpe-maximising, recursive-decay, and convex multi-asset allocation.
- Event-driven — Trades earnings tilts and curated Telegram signal feeds.
- Benchmarks — Buy-and-hold benchmarks (SPY, QQQ, FTWD) for a fair comparison baseline.
Methodology
- Paper-traded forward test. Each strategy runs as a Kubernetes CronJob from the open-source python_tradingbot_framework. Orders are executed against real market data using a $10,000 paper-capital seed so returns are cross-comparable; no real client capital is deployed via this site.
- End-of-day marks. Portfolio worth is recorded daily from open positions plus cash and written to an append-only Postgres store.
- Metrics. Sharpe, Sortino, Calmar, Profit Factor, and drawdown computed from the daily return series, annualised at 252 trading days. Correlation and beta are calculated against live SPY and BTC-USD price feeds.
- Live vs. backtest. Every strategy page separates the live forward-test (authoritative) from historical backtests (reference only). Backtest results are never used to rank the leaderboard.
Last updated: 2026-05-07 06:31 UTC
For professional investors
Request the investor deck, DDQ, and extended analytics. Firm-gated and reviewed manually.
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