Signal Latency: You're Entering After the Move — and Your Network Is Why.

The full latency stack: every component between signal and fill.

Signal trading has a chain of events between the signal provider sending a message and your broker confirming your fill. Each link in that chain adds latency. Most traders are only aware of the last two links. The first four are invisible until you measure them.

What missing the first 2 seconds of a news move costs.

News releases move markets in waves. The initial reaction — the first 1–3 seconds after a major data release — is typically the sharpest move of the event. Liquidity at the signal entry price is available during that window. As the initial spike exhausts, price either reverses, consolidates, or continues — but the entry conditions from the signal are no longer present.

A signal sent at the moment of a release, arriving 4 seconds late, means you see it after the initial wave has run its course. You are reacting to a signal that described conditions that no longer exist. You enter into a setup that has already partially resolved.

Three outcomes, all negative:

1. You enter anyway. You accept worse entry conditions. You absorb more slippage at a price further from the setup's intended entry. Risk:reward is lower than calculated.
2. You skip the trade. You watched the move happen from the sidelines because the notification arrived too late to act. The signal was correct. The entry window closed before you saw it.
3. You enter wide. You add buffer to your entry to compensate for the habitual delay. The buffer works on some setups and creates unnecessary risk on others. You've changed your strategy to compensate for a network problem.

"You entered late. The setup worked. Your network didn't. That is not a strategy problem. It is an infrastructure problem, and it is solvable."

Option 3 is the most insidious. Traders who widen entries and add buffer to account for delivery lag are optimising their strategy around a deficiency in their network. Remove the deficiency and the buffer becomes unnecessary. The strategy returns to its designed parameters.

How MTProto removes the DPI leg.

The DPI queue exists because your ISP's classification system recognises MTProto traffic as a messaging app protocol and assigns it a lower quality-of-service class. During congestion, lower-class packets wait. The queue adds 3–10 seconds during peak congestion.

FakeTLS changes the protocol fingerprint. When you connect through an MTProto proxy with FakeTLS enabled (secret starts with ee), the connection handshake looks exactly like a TLS 1.3 HTTPS session to any DPI system inspecting it. The classifier sees HTTPS. It assigns HTTPS priority. The Telegram traffic bypasses the messaging app queue entirely.

The relay leg is not zero — the proxy server is an additional hop. From your device, the path is: device ? proxy (FakeTLS) ? Telegram DC. The proxy-to-DC leg is typically fast if the proxy server is in the same region as the DC. The device-to-proxy leg is your local network latency to the server.

In practice: the proxy adds roughly 30–80ms compared to a direct unproxied connection in ideal conditions. The DPI queue removes 3–10 seconds during congested conditions. The math is not close. The proxy overhead is always worth the DPI removal during any news event window.

Outside news events — during calm periods with no throttling — the proxy adds a small constant latency (30–80ms) while the DPI queue is not active. This means signal delivery is slightly slower than unproxied during calm periods. This is not practically significant for signal trading, where the concern is real-time delivery during volatile events, not during quiet afternoons.

Diminishing returns: when the proxy stops being the bottleneck.

MTProto removes the DPI queue leg. After that, the remaining latency sources are: proxy relay overhead (30–80ms), DC-to-device network path (50–200ms), OS notification delay (100–500ms), and your decision time (1–3 seconds). These have different characteristics.

Proxy relay overhead (30–80ms) is minimised by choosing a proxy server close to your location and close to your DC. Beyond that, it is a fixed cost of the relay architecture. Optimising below 30ms is possible with optimal routing but produces marginal real-world benefit for manual trading.

DC-to-device network path (50–200ms) depends on your ISP's routing quality and your distance from the DC. With the DPI throttle removed, this leg is now on the standard network path. Improving it requires changing ISPs or locations — not worth optimising for signal trading purposes.

OS notification delay (100–500ms) is often overlooked. The OS batches notifications for battery and processing efficiency. Some devices introduce 200–400ms of additional delay between Telegram receiving a message and the notification appearing. This is device and OS-version specific. If you measure sub-100ms delivery to Telegram but 400ms to notification, the OS is the bottleneck. Disabling battery optimisation for Telegram and enabling background activity can reduce this.

Decision time (1–3 seconds) is the human floor. It does not decrease with better infrastructure. If your total latency budget is 3 seconds and decision time is 2 seconds, you have 1 second for infrastructure. Anything beyond that optimisation is irrelevant for manual trading.

The conclusion: after MTProto is active and proxy-to-DC geography is reasonable, the binding constraint for manual signal traders shifts to OS notification delay and decision time. Infrastructure improvements below 200ms total delivery latency produce no further benefit for human-executed trades.