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In the Media

Historic Turbulence Preview


Weekly commentary highlighting key investment themes, actionable ideas, and updating our performance.

Sample Research

Real Asset Allocation

To succeed in the future, investors must expand their asset menu AND modernize their allocation framework.

  • Two-step process: Proprietary trend ranking + ML-based optimization.
  • Scale into and out of positions.
  • Built-in stop loss parameters to protect downside.
  • Stay diversified while overweighting the strongest assets.
3Fourteen Research Real Asset Allocation Table
3Fourteen Research Real Asset Allocation Backtest
3Fourteen Research Drawdown Risk Backtest
3Fourteen Research S&P Risk PMI Histogram

S&P 500 Drawdown Risk

As risk managers, we focus on downside protection.

  • Dozens of indicators synthesized to predict the risk of an +10% drawdown in the next month.
  • Four broad categories represented: Macro, Vol, Technicals, and Valuations.
  • Probabilistic approach: “Risk” is not binary.
  • Machine learning based predictions.

Sector Rotation

As the rally matures, the importance of sector selection rises.

  • Sector selection based on Trend, Flows, and Tactical ML.
  • Precise weights rebalanced monthly and benchmarked to the S&P 500.
  • Internal scorecard updated monthly.
  • Sector Scorecard x-rays the model and reveals internal drivers.
3Fourteen Research Sector Model Scorecard
3Fourteen Research Sector Model Backtest
3Fourteen Research Full-Cycle Trend Table
3Fourteen Research Full-Cycle Trend Backtest

Full-Cycle Trend Stock Selection

Top 20 stocks selected every month based on a proprietary blend of Quality and Trend factors.

  • Top 20 stocks from the S&P 500.
  • New stocks added each month with turnover controls.
  • Quality forms the system's base.
  • Emphasis on finding the stocks that can outperform across the entire economic cycle.

Yield Optimizer

Combining 13 income-producing assets to create yield in a “ZIRP” world.

  • 13 income assets including equities, bonds, REITs, and preferred stock.
  • Two-step process: Proprietary trend ranking + ML-based optimization.
  • Monthly rebalancing and performance tracking.
  • Create income in all interest rate environments.
3Fourteen Research Yield Optimizer Tree Diagram
3Fourteen Research Yield Optimizer Backtest
3Fourteen Research Bitcoin Backtest
3Fourteen Research Oil MM Shorts Indicator

Core Real Asset Models

  • Core Models covering Crude Oil, Gold, and Bitcoin.
  • Each model updated daily with component weightings.
  • Market expertise helps us select the correct indicators.
  • ML process allows us to combine and weight appropriately.


Prior to founding 3Fourteen Research, Warren led Ned Davis Research’s Energy and Commodity strategy. In that role, he built the firm’s commodity-related studies, models, and unique indicators. His research combines proprietary fundamental, technical and macro indicators to identify major investment themes and market trends affecting capital markets.

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