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Data infrastructure, algorithmic trading strategies, and developer guides from the PipData team.

Featured Data Quality Backtesting Strategy

Why Broker-Matched Forex Data Reduces Backtesting Errors by Up to 85%

Most algorithmic traders spend months perfecting their strategy only to watch it fail in live trading. The culprit isn't usually the logic — it's the data. Generic feed aggregators don't replicate your broker's specific liquidity pool, and that gap destroys backtest fidelity in ways most traders never measure.

MB
Maximilian Becker CEO
· May 28, 2024 · 8 min read
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85%
Error Reduction
with broker-matched data
10K+
Trades Analyzed
6mo
Study Period
3
Strategies Tested

All Articles

3 articles
85%
Error Reduction
Data Quality

Why Broker-Matched Forex Data Reduces Backtesting Errors by Up to 85%

Generic data providers aggregate from multiple sources, none of which match your broker's specific liquidity pool. Discover how this silent gap quietly destroys your backtest accuracy.

MB
Maximilian Becker
May 28, 2024 8 min
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WebSocket + Python
Development

Building a Real-Time Forex Dashboard with WebSocket & Python in 30 Minutes

Step-by-step guide to building a live EUR/USD dashboard using PipData's WebSocket API. Complete with working Python code, tick handling, and a news event filter.

SC
Sarah Chen
June 3, 2024 12 min
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News-Driven Algo
Strategy

How to Build a News-Driven Forex Trading Algorithm Using Forex Factory Data

NFP, CPI, and FOMC can move EUR/USD 100+ pips in seconds. Learn how to build a news-aware trading algorithm that trades the reaction, not the uncertainty.

TM
Thomas Müller
June 10, 2024 10 min
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