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Every macro event triggers a chain reaction. These are the most important ones to understand.
Inflation Surprise
Fed Rate Hike
Oil Shock
Risk-Off Event
"CPI missed" tells you nothing without context. What were expectations? What is the current regime? Which assets are most exposed? Headlines skip all of this.
Markets are driven by causal chains, not random correlations. Traders who understand the chain see moves before they fully play out — not after.
The same economic data can be bullish in one regime and bearish in another. Aurora X maps the context so you are never misled by the surface reading.
We explain what ML models actually do, where they fail, how regime shifts destroy backtests, and how Aurora X approaches research transparently. No hype — just the real mechanics.
Why do models fail?
Training distribution vs deployment distribution mismatch during regime shifts.
What is overfitting?
The model learns noise as signal — looks great in backtest, fails live.
What is probabilistic thinking?
Outputs probabilities, not buy/sell. Low confidence = no trade.
Aurora X is built in public. We document what our models got right, what they got wrong, how we fixed them, and why. Not because we have all the answers — but because transparency is how trust is built.
Publicly
Model failures logged
Transparent
Methodology
Documented
Data sources
Open
Research notes