The Cost of Latency: When Milliseconds Matter in Execution

In algorithmic trading, time is money.
Literally.
Every millisecond that passes between your signal generation and trade execution is money evaporating from your P&L.

This is called Latency Slippage.

Most retail traders ignore it. They think, "I'm not doing HFT, so 1 second delay doesn't matter."
They are wrong.

This article breaks down the hidden cost of latency and why minimizing it is the most effective way to boost your Sharpe Ratio.

What is Latency?

Latency is the time delay between an event and the reaction.
In trading, there are three types:

li> Tick-to-Trade Latency: The time from receiving a price update to sending an order. This is your code's speed.
• Network Latency: The time for your order to travel from your server to the exchange matching engine.
• Round-Trip Latency: The total time to send an order and receive an acknowledgment.

The "Winner Takes All" Effect

Markets are a queue.
If 100 bots see the same breakout signal at the same time, they all send Buy orders.

li> Bot A (5ms latency): Buys at ₹100.00
• Bot B (50ms latency): Buys at ₹100.05
• Bot C (500ms latency): Buys at ₹100.20

Bot C just paid a 0.20% "Latency Tax" to enter the trade.
If your average profit per trade is 0.50%, you just lost 40% of your profit margin due to slow infrastructure.

Over 1,000 trades, this kills your edge.

Measuring Your Latency

You cannot improve what you cannot measure.
Do you know your internal processing time?

The Audit:
Add timestamps to your logs:

li> T1: Tick Received (from WebSocket)


• T2: Strategy Calc Finished
  


• T3: Order Sent (HTTP Request)
  

Processing Latency = T3 - T1.

If this number is > 100ms, your code is too slow.
If it is > 10ms, you are average.
If it is < 1ms, you are competitive.

Optimizing for Speed

How do we reduce latency?

1. Optimization (Code Level)

li> Avoid Loops in Python: Use vectorization (numpy) instead of for loops.


• Keep Connections Open: Do not open a new HTTPS connection for every order. Use Keep-Alive sessions.
  


• Asynchronous I/O: Don't let your code block while writing to the database. Use async logging.
  

2. Infrastructure Level

li> Distance: Light travels at a fixed speed. If your server is in New York and the exchange is in Mumbai, you have a physical minimum latency (approx 200ms).


• Solution: Move your server to Mumbai (AWS ap-south-1).
  


• Kernel Bypass: Advanced HFT firms bypass the operating system's network stack using specialized network cards (Solarflare).
  

The Colocation Advantage

The ultimate step is Colocation (Co-Lo).
This means putting your server in the same physical building as the exchange servers (e.g., NSE's BKC data center).

This reduces network latency to microseconds.
It is expensive, but for strategies like Arbitrage or Market Making, it is mandatory.

At Virexan Capital, we help clients determine if Co-Lo is worth the investment for their specific strategy.

Conclusion

Speed is not just for HFT.
Faster execution means better fill prices. Better fill prices mean higher CAGR.

If you are serious about algorithmic trading, stop optimizing your indicators and start optimizing your infrastructure.
A 10ms improvement in latency is often worth more than a 10% improvement in your entry signal.

Internal Links:

li> Service: Low Latency Infrastructure – Our hosting solutions.


• Deep Dive: Prop Desk Execution – How the pros do it.
  


• Technical: Python vs C++ – Coding for speed.
  

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