The intuition
Order-book imbalance is a snapshot — how lopsided the resting liquidity is right now. Order-flow imbalance is the movie: it tracks the flow of changes at the best bid and ask. Bids being added or asks being pulled is buy pressure; bids being pulled or asks piling on is sell pressure. Cont, Kukanov & Stoikov showed that short-horizon price changes line up almost linearly with this flow — often better than trade volume does.
Pick a flow regime — bid adds and ask pulls push OFI positive; bid pulls and ask adds push it negative. The events sum to net pressure.
OFI = Σ eₙ (over the interval) Each eₙ is a signed change in best-quote size: a bigger bid or a smaller ask counts positive (buy pressure); a smaller bid or a bigger ask counts negative. Sum them over a window and you get net pressure.
ofi >= highest(ofi, 30) && imb >= 15 OFI is live as the ofi variable, computed from the depth-diff stream and sampled across the candle. Because its scale varies by symbol, pair it with lookback — ofi >= highest(ofi, 30) flags a 30-candle extreme — and confirm with book imbalance. That is exactly the built-in *OFI Pressure* signal.
- 1 Best bid keeps getting refilled while resting asks are pulled.
- 2 Each refill/pull adds positive eₙ → OFI climbs.
- 3 Net: strong buy-side flow → short-term upward pressure, often before it shows in price.
OFI is a short-horizon edge that decays fast and is noisy sub-second — vyx samples it on the same ~1s cadence as the rest of the book. It is context, not a standalone trade trigger; it shines as one indicator inside a confluence signal.
Further reading
- Cont, Kukanov & Stoikov — “The Price Impact of Order Book Events” (2014)
- Cartea, Jaimungal & Penalva — Algorithmic and High-Frequency Trading
Related
FAQ
Is order-flow imbalance the same as order-book imbalance?
No. Order-book imbalance is the static snapshot of how lopsided resting liquidity is. Order-flow imbalance is the flow of changes to that book over time — additions and cancellations at the best quotes.
Why is OFI considered predictive?
Empirically, short-interval price changes track net order-book flow closely (Cont et al.). Liquidity providers reveal intent by adding and pulling quotes before trades print, so OFI can lead price on short horizons.
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