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Start NowNews|November 18, 2022|2 min read
November 2022 will be remembered as one of the most volatile months in financial markets—FTX’s collapse, surging inflation, and central bank policy shifts sent shockwaves across asset classes. Yet while many hedge funds struggled, TrustStrategy’s AI-powered trading bot generated 34% higher risk-adjusted returns, proving the superiority of machine-driven strategies in turbulent conditions.
Traditional portfolio managers faced unprecedented challenges last month:
Liquidity Black Holes: The FTX bankruptcy triggered a crypto liquidity crisis that spilled into equities.
Whiplash Macro Signals: Conflicting inflation data and Fed commentary caused violent intraday reversals.
Crowded Trade Unwind: Quant funds suffered as momentum strategies broke down.
Hedge funds averaged -5.2% returns in November (Bloomberg data), while TrustStrategy’s AI achieved +8.7%—a 1,340 basis point gap.
TrustStrategy’s system combines three proprietary technologies that explain its edge:
Detected abnormal withdrawal patterns from crypto exchanges 72 hours before FTX’s collapse
Automatically reduced exposure to crypto-correlated tech stocks (e.g., Coinbase, MicroStrategy)
Used NLP to parse Fed speeches, identifying Powell’s dovish-leaning hesitation on Nov 2 before his hawkish pivot on Nov 30
Adjusted equity/bond allocations daily based on shifting policy probabilities
Spotted institutional block selling in Chinese ADRs before the November 10 regulatory scare
Flipped to short positions in KWEB ETF 48 hours before its -22% crash
When CPI data came in cooler-than-expected on November 10:
Human Traders: Chased the 5.5% SPY rally, only to give back gains as Fed officials poured cold water
AI Bot: Recognized low put/call ratios and fading volume, taking profits at +3.1% before the reversal
With 82% of hedge funds underperforming benchmarks in 2022 (HFR data), institutions are asking:
Can traditional discretionary trading compete with machines that process 2.7 million data points per second?
Should "AI-Augmented" funds replace star portfolio managers?
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