Archived — below our codifiability bar

StrategyQuantX, Custom Filters

Learn how to improve trading strategy performance and avoid losses by effectively using custom filters in StrategyQuantX. This tutorial explains application wit

Published · Archived · Methodology: Technical Indicators

  • Algo score: 70%
  • Discretionary score: 50%

This strategy was decoded from a public trading video but did not clear Strategy Decoder's codifiability bar: the extraction could not pin the rules down precisely enough to be turned into a reviewable specification. It is kept here as a reference post-mortem rather than as a strategy you can trade or backtest.

Part of: Algorithmic & Automated Trading

  • Methodology: Technical Indicators
  • Content type: educational

Indicators mentioned

  • Custom Filters

Why this strategy was archived

Custom filters in StrategyQuant X are user-defined screening conditions — expressions built from performance and robustness metrics — applied to a databank so that only strategies meeting your own criteria survive the generation process. This entry decodes Ali Casey's video "StrategyQuantX: Stop Losing Money with Custom Filters" (StatOasis), which treats filtering as the part of a systematic workflow that decides what actually reaches a live account.

**Why this entry is archived.** Our extraction scored this video below the codifiability bar. The material is about the selection layer of a strategy pipeline rather than about a chart-level strategy: the filtering approach and the metrics involved are discussed, but the conditions are referenced without being pinned to values, thresholds, and evaluation order precise enough to reproduce without guesswork. Our extractor also found no timeframe or market scope to anchor a rule set to. An entry we cannot code faithfully does not belong in the active catalog, however sound the underlying process is.

**What it still offers.** The value here is workflow discipline. Most retail traders generate strategies and then pick by equity curve; this video argues for defining the acceptance criteria in advance and letting the platform enforce them — which is the correct order of operations in any strategy-generation setup. If you work in StrategyQuant X, treat it as process material on how to think about filtering, and see the active catalog for entries where a complete, mechanizable rule set was extracted.

Source video

Decoded from: StrategyQuantX: Stop Losing Money with Custom Filters by Ali Casey | StatOasis — watch the original

Frequently asked questions

Why is this StrategyQuant X custom filters entry archived?

The video covers the strategy-selection layer of a StrategyQuant X workflow rather than a complete chart strategy, and the filter conditions are referenced without specific thresholds or scope. Our extraction scored it below the codifiability bar required for the active catalog.

What are custom filters in StrategyQuant X?

User-defined screening conditions applied to a databank of generated strategies, built from performance and robustness metrics, so only candidates meeting your own criteria pass through.

Is the video still worth watching?

Yes — as process material. It addresses how to decide which generated strategies deserve further testing, a step most strategy-generation workflows leave undefined.

Where can I find codifiable strategies on Strategy Decoder?

The active catalog and the indicator-based concept hubs list decoded entries where full entry, exit, and risk rules were successfully extracted.

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