How to categorize your strategies by entry type quickly and efficiently

Entry methods databank columns snippets bundle

 

StrategyQuant X can generate a large number of strategies based on several input parameters. One of them is the option to choose different entry methods ( Order Types)  from which StrategyQuant X selects.

The result of generating strategies in BUILDER or retesting in RETESTER can be a large number of strategies with different types of entries. The question is how to categorize them.  Until now, the only possible way was to do it manually by analyzing after strategy.  ( without external scripts… ). This bundle of databank column snippets can be a new solution that can help you identify entry methods used in the strategy. 

 

 

 

With these snippets, you can identify the three basic types of entry methods

  1. Enter at market
  2. Enter at stop
  3. Enter at limit

They return the percentage share of a specific entry method from all entry methods used in every strategy.

 

You can select strategies based on your criteria in this way:

 

You can download snippets here: https://strategyquant.com/codebase/order-types/

clonex / Ivan Hudec
clonex / Ivan Hudec

Ivan Hudec — “Clonex” on the forum

I’ve been trading for 15 years and building with StrategyQuant X since 2014. These days I do three things: I develop and battle-test automated strategies, I extend SQX itself with custom indicators, snippets, and Python tools for machine learning and quant research, and I help other traders get there faster — without the years of expensive mistakes I made along the way.
Most retail strategies look great on a backtest and fall apart live. My work is about the opposite: strategies that are honest, validated, and robust enough to trust with real money. I write about that process — the good, the ugly, and the overfitting nobody talks about — on my site, algotrading.space.
If you want to go deeper on validation, custom SQX development, or building a real edge with data and code, that’s where I share it all.  www.algotrading.space

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