Financial data collection agent | Bloomberg / Reuters data interface, millisecond high-frequency trading information acquisition

Why do I need a proxy IP for financial data collection?

When accessing financial data interfaces such as Bloomberg, Reuters, etc., the server will determine the legitimacy of the request source by IP address. If a single IP is used for high-frequency requests, the frequency limit will be triggered, resulting in data interruption, or the access privileges will be permanently blocked. For example, a private equity fund had its account frozen for 3 hours due to repeated API calls from a fixed IP, missing a critical trading window.

Proxy IP services are provided through theDistributed node rotation mechanism, decentralizing data requests to servers in different geographic locations. This model not only circumvents the platform's wind control mechanism, but also ensures the continuity of millisecond high-frequency transactions. Taking ipipgo's residential proxy as an example, the probability of its pool of real home broadband IPs being identified as regular users is 87% lower than that of data center IPs.

Screening Criteria for Financial Level Proxy IP

It is difficult for common agent services in the market to meet the needs of financial scenarios, and it is necessary to focus on three dimensions:

ipipgo adoptsFinancial Private Line Network ArchitectureIt has deployed low-latency nodes in 15 cities around the world where exchanges are located. The average latency of accessing the London Reuters server from the Singapore node is only 18ms, which fully meets the transmission requirements of high-frequency trading orders.

Practical: build data collection system

Take Python as an example of intelligent IP scheduling via ipipgo:

import requests
from ipipgo import Rotator

proxy = Rotator(
    protocol='socks5', strategy='latency', automatically selects the node with the lowest latency
    protocol='socks5', strategy='latency', automatically selects node with lowest latency
    whitelist=['bloomberg.com','reuters.com'] Binds to the specified domain name
)

response = proxy.get(
    'https://api.bloomberg.com/v1/quotes'.
    headers={'API-Key':'your_key'}
)

The program realizesThree core functions: 1) Automatically switching the optimal IP for each request 2) Maintaining session-level persistent connections 3) Automatically filtering traffic consumption for non-target domains.

Optimization solutions for high-frequency trading scenarios

For trading systems that need to maintain long TCP connections, it is recommended that ipipgo'sStatic residential IP + heartbeat alivePrograms:

1. Apply for 5-10 fixed IPs to establish connection pools
2. Setting up heartbeat packets to be sent every 30 seconds to maintain the connection
3. Anomalous IPs are automatically quarantined and replenished with new nodes

This strategy reduced the failure rate of trade order transmission from 2.31 TP3T to 0.051 TP3T for a quantitative team and avoided session reconstruction delays due to IP changes.

Frequently Asked Questions

Q: How much latency does a proxy IP add?
A: Quality service providers can instead reduce latency. ipipgo is optimized by BGP network, and the Hong Kong to New York line is 12ms faster than the public direct connection.

Q: How can I prevent my IP from being marked as a proxy?
A: Select SupportReal Device Fingerprint Disguiseipipgo's Residential IP with UA Random Generation technology allows request header characteristics to be exactly the same as those of a local browser

Q: How much IP volume is needed?
A: Dynamically adjusted according to business peaks and valleys. ipipgo supports minute-level elasticity expansion, an intraday trading team in the non-farm payrolls data release period will be temporarily expanded from 200 to 2000 IP pools