A proprietary 0–100 score measuring real-time market pressure across Tokyo, Singapore, and Hong Kong sessions. Updated at each session open — before the rest of the market sees it.
| DATE | TOKYO | SINGAPORE | HONG KONG | DAILY AVG | TREND |
|---|---|---|---|---|---|
| 2026-09-16 | 8→ | 11↑ | 45↑ | 21 | ↑ |
| 2026-09-15 | 76→ | 24↓ | 33↑ | 44 | ↓ |
| 2026-09-14 | 100→ | 64↓ | 44↓ | 69 | ↓ |
| 2026-09-13 | 67→ | 22↓ | 64↑ | 51 | ↓ |
| 2026-09-12 | 93→ | 41↓ | 90↑ | 75 | ↓ |
| 2026-09-11 | 52→ | 56↑ | 91↑ | 66 | ↑ |
| 2026-09-10 | 42→ | 45↑ | 5↓ | 31 | ↓ |
| 2026-09-09 | 35→ | 35→ | 25↓ | 32 | ↓ |
| 2026-09-08 | 100→ | 54↓ | 33↓ | 62 | ↓ |
| 2026-09-07 | 91→ | 87↓ | 14↓ | 64 | ↓ |
Automated newsletter dispatched 3× per day at each APAC session open. No noise — just the Pulse Index, direction, and session context.
Consume the APAC Pulse Index directly in your quant system, terminal, or risk engine. Public endpoint returns live score. Authenticated keys unlock 30-day archive.
We believe every client deserves precise definitions. Here is exactly what our 11 μs figure represents, and where the physics of the internet take over.
11 μs is the time elapsed from the moment a market event occurs at the exchange to the moment that event is fully processed, structured, and ready to be dispatched by our backend pipeline. This is our internal ingress-to-egress latency — the speed at which raw market data becomes a structured, actionable signal inside our system.
When our signal enters the network, it is already 1,500× more current than what Bloomberg standard commercial tiers deliver to non-colocated clients — because their routing tax is applied before the data even leaves their infrastructure.
11 μs is not the time it takes for data to travel from our servers to your system. That is governed by the physics of the internet: fibre optic cables transmit at approximately 200,000 km/s, and every routing hop adds overhead. On a direct connection, WebSocket delivery adds 1–5 ms. On public internet with multiple hops, expect 10–50 ms.
This is not a ZeroLabMatrix limitation. It is a universal constraint. Bloomberg, Binance, Refinitiv — every data provider on the planet operates under the same physical laws. No one delivers data faster than light through glass.
For quant desks working on proprietary metrics, backtesting and research: the value is in signal quality, not transport latency. The 6–12 μs figure describes how fast the radar generates the signal. Delivery to your client occurs in milliseconds and depends on your region. This distinction is precise and defensible.
Routing tax applied internally before data enters the network. Non-colocated clients receive data that is already stale at departure.
Zero internal routing tax. Data enters the network 1,500× fresher. Both providers then face the same internet physics — but our data started ahead.
Think of it as two runners in the same race. Both face the same track length (network physics). But one runner starts at the starting line (ZeroLabMatrix — 11 μs ingestion), while the other starts 50 metres behind it (Bloomberg standard tier — 15–50 ms internal routing tax). The track is identical. The starting position is not. By the time both signals reach your system, ours has been in transit for the same duration — but it was dispatched 1,500× sooner. That is the structural advantage.