🧵What Happens to Market Dynamics When AI Starts Making Real Investment Decisions?
Despite layers of math, code, and valuation models, markets remain deeply emotional systems.
Sentiment drives volatility. Panic triggers crashes. Euphoria inflates bubbles. And current algorithms often amplify, rather than eliminate, these behaviours.
But what if those core human drivers are removed?
What happens when Large Language Models (LLMs) — advanced, goal-driven, context-aware agents — are given control over real capital? Not just to assist traders. Not just to write research notes. But to autonomously devise and execute investment strategies?
6/6 A New Market Physics?
Behavioural quirks will likely arise from increased model-on-model interaction.
New forms of herding. Fragility from shared blind spots.
Minor triggers might cascade into machine-driven volatility—akin to flash crashes, but more complex.
Emotion may not be eliminated.
It may simply become hidden, redistributed, or abstracted — via algorithms, APIs, and prompts.
We may be entering a new phase — one where market dynamics are shaped by hybrid intelligence, asymmetric data, and a fresh arms race for interpretability and speed.
Article and Reference links:
🧵What Happens to Market Dynamics When AI Starts Making Real Investment Decisions?
Despite layers of math, code, and valuation models, markets remain deeply emotional systems.
Sentiment drives volatility. Panic triggers crashes. Euphoria inflates bubbles. And current algorithms often amplify, rather than eliminate, these behaviours.
But what if those core human drivers are removed?
What happens when Large Language Models (LLMs) — advanced, goal-driven, context-aware agents — are given control over real capital? Not just to assist traders. Not just to write research notes. But to autonomously devise and execute investment strategies?
5/6 Risk in the Age of Machine Reflexivity
Risk won’t vanish. It will morph.
Managing it will demand frameworks that evolve beyond today’s tools.
We may soon face:
-Flash crashes from LLM feedback spirals
-Adversarial manipulation of training data
-Model mis-specification during regime shifts
-Overfitting, blind spots, and herd dynamics at machine speed
As more capital flows into LLM-managed strategies, the market may even begin reacting to itself:
-GPT‑7 fund managers publishing outlooks that move markets.
-LLMs digesting LLM-generated reports.
An infinite feedback loop.
@KnowledgeUpOnly And gold prices can be seen to rise counterintuitively in high interest rate environment also. A red flag imo, indicating poor expectations despite fiscal and monetary measures.
@KnowledgeUpOnly When real interest rates (nominal rates minus inflation) rise, gold declines coz higher real rates increase opportunity cost of holding non-yielding assets (gold). But inflation expectations, geopolitical risks, currency movements, and economic concerns can outweigh this effect.
@British_Airways we are in Athens Greece waiting to board but hearing of indefinite delays and suspended operations at Heathrow airport. Can you advise or provide an update as to the cause?