自去年十月開始,聯儲局和財政部似乎暗中協調,一邊進行量化寬松,一邊提高利率,力圖在不影響百姓的情況下將通貨膨脹壓至3%以下。聯儲局缩表减持抵押基金,而財政部則頻發短期国債并提高政府預算開支。同時國會又順利提高債務上限。這種聯儲局與財政部的緊密配合,使美國避免了高失業和工資下降等后果,可以視為一場典雅的雙人舞,但通脹的長期影響仍需拭目以待。
The Collaboration:
Our journey began by coaching the AI through examples and feedback to grasp nuances of Composer’s coding language. My core thesis was to benefit from rising food prices in late 2023–2024. The strategy pivoted investments to food stocks when they outperformed QQQ, an ETF tracking the tech-heavy Nasdaq-100. If QQQ performed better, it reverted investments there.
The initial generated code had errors. Rigorous backtesting revealed flaws, so the AI and I refined the strategy. Subsequent backtests were promising.
The Final Strategy: A Dynamic Food vs. Tech Approach
With global food costs rising, this strategy capitalizes on anticipated price surges. It compares food-related assets to the Nasdaq-100 index (QQQ ETF) and allocates funds accordingly. When food stocks show strength, it seizes the opportunity. Underperformance triggers a pivot back to QQQ for broader resilience.
Key Backtest Results:
Annualized Return: 56.4%
Max Drawdown: 7.2%
Sharpe Ratio: 2.73
(Generated via simulation. Not indicative of actual performance.)
Reflections on Human vs. AI Collaboration:
In algorithmic strategy design, AI like Composer offers undeniable efficiency. However, human expertise remains irreplaceable. A strategy stems from understanding economics, portfolio theory, and risk preferences — insights an AI alone cannot replicate.
The AI acts as an able driver to efficiently translate our vision into rigorously tested code. But human knowledge provides the strategic roadmap and navigation. Together, we accomplish more than either could alone. This proves investing still requires human intuition.
As AI capabilities grow, remembering the value of human intellect will be critical. For now, and likely the future, investment strategies will thrive on human guidance and knowledge.
If you are interested in trying my Food Price vs. QQQ Strategy, here is the link to it (
If this glimpse into creating an AI-assisted trading strategy was intriguing, I encourage you to try Composer using my referral code zpxGrUX-TRADE to register and trade. By signing up and trading through this link, you can help support my work in writing more fascinating articles like this one. Composer makes it easy for anyone to develop algorithms — whether you’re an experienced quant or just starting out. The intuitive interface translates ideas into profitable automated strategies. An AI can even learn the ropes with some guidance!
My LN Address: flextiger@getalby.com
My Nostr:
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LinkedIn: https://www.linkedin.com/in/flex-tiger-23b930229/
Medium: Flextiger
Twitter: FlextigerA
Composer
Algorithmic Trading
Ai Trading
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You are better off buying Orange Juice than Chips.
