Question 1

How does YATA compare to ta-lib for Rust?

Accepted Answer

YATA is a native Rust library with a focus on performance and extensibility, offering similar indicators but with idiomatic Rust APIs. Unlike ta-lib bindings, YATA avoids FFI overhead and provides custom indicator support, though it may lack some niche indicators from ta-lib.

Question 2

How to create a custom indicator with YATA?

Accepted Answer

Use the provided interface by implementing the Indicator trait, as shown in the README examples. You can combine existing methods via string parsing or enums, but note the configuration complexity for advanced cases.

Question 3

Is YATA suitable for high-frequency trading?

Accepted Answer

Yes, benchmarks show nanosecond execution times, making it viable for HFT backtesting. However, real-time integration requires external data sources, and the optional unsafe code feature might be needed for peak performance.

Question 4

Does YATA support cryptocurrency data formats?

Accepted Answer

YATA operates on generic numerical data, so it can handle cryptocurrency prices, but it doesn't include built-in parsers for exchange-specific formats. You'll need to preprocess data into OHLCV structures.

Question 5

What are the trade-offs of enabling unsafe_performance in YATA?

Accepted Answer

Enabling this feature can boost performance by 5-10% through unsafe vector accesses, but it compromises Rust's safety guarantees, increasing the risk of memory bugs in exchange for speed.

Question 6

Can I use YATA with Python for data science?

Accepted Answer

Not directly—YATA is Rust-only. For Python integration, you'd need to create bindings using tools like PyO3, which adds complexity compared to native Python libraries like pandas-ta.

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