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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.

77.46
Peak Strategy Sortino Ratio
144.75%
Highest Annualised Return
20.76
Top Strategy Profit Factor
-0.07%
Best Strategy Max Drawdown

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 — contact is initiated by the visitor (reverse solicitation).

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
1KronosTraderBot77.46132.0913.76%-0.10%2.700.006
2TARegimeAdaptiveBot41.61156.8233.63%-0.21%20.760.0040
3GoldenButterflyMomBot12.2297.5136.35%-0.37%6.510.0015
4FearGreedBotQQQ2.962.5315.28%-6.04%1.630.5671
5DeepSeekToolBot2.804.9030.14%-6.15%1.340.0040
6TelegramSignalsBankBot2.727.9573.12%-9.19%1.350.0027
7RegimeAdaptiveBot2.594.169.58%-2.30%1.300.0040
8EarningsInsiderTiltBot2.443.8218.51%-4.84%1.270.0040
9EURUSDTreeBot2.3211.352.40%-0.21%5.060.2771
10Benchmark_FTWD2.122.8315.09%-5.33%1.410.6671
11AIHedgeFundBot1.903.1032.33%-10.45%1.360.6345
12FearGreedBotQQQInverse1.832.1113.50%-6.39%1.400.7370
13Benchmark_SPY1.781.7511.05%-6.30%1.290.8071
14Benchmark_QQQ1.451.5611.29%-7.25%1.220.7471
15AdaptiveMeanReversionBot0.000.00130.69%0.00%0.000.0015
16RecursiveDecayHarvestBot0.000.000.00%0.00%0.000.0015
17SqueezeMomentumBot0.002198.42144.75%-0.07%19.740.006
18StockNewsSentimentBot0.000.000.00%0.00%0.000.0015
19SwingTitaniumBot0.000.000.00%0.00%0.00nan71
20SynthesizedHyperConvexityBot0.00183.0564.42%-0.35%11.900.0015
21XAUSyntheticMetalTreeBot0.000.009.59%0.00%0.000.1270
22XAUZenbotTreeBot0.000.000.00%0.00%0.00nan70
23GptBasedStrategyBTCTabased-0.93-2.12-39.97%-18.86%0.720.2470
24SharpePortfolioOptWeeklyBot-3.02-1.77-11.97%-6.76%0.610.5570

Click any strategy name for its investment thesis, full risk-adjusted metrics, drawdown profile, and historical backtest reference.

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: 2026-04-20 06:30 UTC


For professional investors

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