pith:DBF4MXHY
Sequential Structure in Intraday Futures Data: LSTM vs Gradient Boosting on MNQ
Four years of single-instrument five-minute OHLCV data prove insufficient for reliable intraday ML forecasting.
arxiv:2605.17724 v1 · 2026-05-18 · q-fin.TR · cs.LG · q-fin.CP · q-fin.ST
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Claims
The results indicate that four years of single-instrument five-minute OHLCV data are insufficient for reliable sequential ML-based intraday forecasting.
That the chosen binary target (close > 10:30 AM open by more than ten points) and the five-minute OHLCV representation are sufficient to reveal any exploitable sequential structure if such structure exists in the market.
Neither LSTM nor gradient boosting models achieve statistically significant out-of-sample accuracy above the 51.8% base rate for intraday MNQ directional prediction using 944 trading days of five-minute OHLCV data under walk-forward validation.
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| First computed | 2026-05-20T00:04:54.860899Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/DBF4MXHYMU4RTRZF53FY2ZW5EX \
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Canonical record JSON
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