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Quantitative Research Portal

Systematic trading strategies, evaluated like an allocator does.

A daily-updated forward-test of 24 production strategies, published by DataFortress.cloud GmbH as a passive research record. Ranked by Sortino — risk-adjusted return, the only number that matters.

57.31
Peak Strategy Sortino Ratio
162.32%
Highest Annualised Return
8.02
Top Strategy Profit Factor
-0.15%
Best Strategy Max Drawdown
Execution infrastructure engineered by alumni of
BMW Porsche VW atruvia Hewlett Packard

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.

🔥 Skin in the game: The developer trades these exact strategies live with a substantial portion of their personal liquid net worth.

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.

#StrategySortinoCalmarCAGRMax DDProfit factorSPY corrDays live
1AdaptiveMeanReversionBot57.31234.03162.32%-0.69%8.020.0020
2SynthesizedHyperConvexityBot40.94132.7598.96%-0.75%4.680.0020
3KronosTraderBot16.59133.0319.76%-0.15%2.520.0011
4TARegimeAdaptiveBot7.5341.9834.94%-0.83%4.340.4745
5GoldenButterflyMomBot6.9637.7826.66%-0.71%2.580.0020
6FearGreedBotQQQ4.313.6321.95%-6.04%1.790.6076
7TelegramSignalsBankBot4.2214.76135.71%-9.19%1.530.0032
8DeepSeekToolBot3.185.5334.04%-6.15%1.360.8045
9FearGreedBotQQQInverse2.663.1720.29%-6.39%1.540.7575
10Benchmark_QQQ2.182.4717.88%-7.25%1.330.7676
11Benchmark_FTWD2.152.8815.35%-5.33%1.420.6676
12Benchmark_SPY1.991.9512.27%-6.30%1.300.8176
13AIHedgeFundBot1.973.2634.04%-10.45%1.350.6450
14RegimeAdaptiveBot1.743.307.60%-2.30%1.210.8445
15EarningsInsiderTiltBot1.663.0014.51%-4.84%1.190.8445
16EURUSDTreeBot0.150.260.25%-0.98%1.080.1776
17RecursiveDecayHarvestBot0.0031.7752.77%-1.66%3.410.0020
18StockNewsSentimentBot0.000.000.00%0.00%0.000.0020
19SwingTitaniumBot0.000.000.00%0.00%0.000.0076
20XAUSyntheticMetalTreeBot0.000.009.21%0.00%0.000.1175
21XAUZenbotTreeBot0.000.000.00%0.00%0.000.0075
22GptBasedStrategyBTCTabased-0.87-2.06-38.82%-18.86%0.720.2375
23SharpePortfolioOptWeeklyBot-1.48-0.94-6.36%-6.76%0.800.4875
24SqueezeMomentumBot-2.20-12.96-47.00%-3.63%0.610.0011

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: 2026-04-25 06:30 UTC


For professional investors

Request the investor deck, DDQ, and extended analytics. Firm-gated and reviewed manually.

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