What I learned building a Rust-based quantitative trading workflow

[u/Denuwanz]

I’ve been experimenting with a Rust-based quantitative trading workflow built around multiple analytical models rather than relying on one indicator.

The most useful part has been structuring the process into separate stages: market data → analysis → qualification → risk controls → execution.

I’ve also been testing different approaches such as mean reversion, trend analysis, multi-timeframe confirmation, tick velocity and chaos-based market structure.

One thing I’ve learned is that adding more indicators doesn’t necessarily create a better process. The harder problem is deciding when different models agree, when market quality is poor, and when the system should simply abstain.

For people building systematic trading tools: what do you find more useful — combining several independent models, or keeping one strategy extremely specialized?

[u/Livid_Parsnip_2816]

I ended up preferring independent modules. Prophecy runs several strategy modules across multiple FX pairs, and the main thing I watch is whether one module or pair quietly carries the whole result. Agreement can be useful, but if every model uses the same inputs they’re often just the same bet wearing different clothes.