Archived — below our codifiability bar

Volume Indicator, Polynomial Regression

Enhance your trading with a new volume indicator using polynomial regression to filter false signals and provide more reliable market insights.

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: Volume Analysis

  • Methodology: Technical Indicators
  • Content type: indicator

Indicators mentioned

  • Volume Indicator
  • Polynomial Regression

Why this strategy was archived

Volume analysis and polynomial regression sit on opposite ends of the indicator spectrum: one reads participation, the other fits a smooth curve to price to describe its underlying path. Combining them — using volume as a validity filter on a regression-derived signal — is a sensible way to attack the false-signal problem that plagues curve-fitting tools. This entry decodes PineTrades' video "NEW Volume Indicator Filters Out False Signals Using Polynomial Regression", which walks through that pairing on the chart.

**Why this entry is archived.** Our extraction identified the building blocks — the volume component and the polynomial regression component — but not a complete rule set. The video references the conditions under which a signal is confirmed or discarded without specifying them precisely enough to automate: the regression's degree and lookback, the volume threshold that separates a valid signal from a filtered one, and the exit and stop logic are not pinned down to values a coder could reproduce without guesswork. Our extraction scored it below the codifiability bar, so it stays out of the active catalog — a rule set that has to be guessed at cannot be backtested faithfully.

**What it still offers.** The framing is genuinely useful: treating volume as a confirmation layer rather than a standalone signal is the right instinct, and polynomial regression is an underused way to describe trend shape without the lag of a moving average. If you already work with regression-based tools, the video is a good visual introduction to how a participation filter changes which signals survive. For entries where the volume and regression parameters were fully extracted, see the volume-based and trend-filter concept hubs in the active catalog.

Source video

Decoded from: NEW Volume Indicator Filters Out False Signals Using Polynomial Regression by PineTrades — watch the original

Frequently asked questions

Why is this volume and polynomial regression strategy archived?

Our extraction identified the indicators — a volume filter and polynomial regression — but not the specific parameters and conditions that make them automatable: regression degree and lookback, the volume threshold for confirmation, and exit logic are referenced rather than defined. That scored below our codifiability bar for the active catalog.

What does polynomial regression do in a trading indicator?

It fits a curve to recent price data to describe the underlying path of the trend, aiming to follow shape more closely than a straight moving average. Its behavior depends heavily on the polynomial degree and lookback window chosen.

Why use volume as a filter on an indicator signal?

Volume measures participation behind a move. Requiring a signal to coincide with meaningful volume is a common way to discard moves that lack conviction — though the filter only becomes testable once the threshold is defined numerically.

Where can I find codifiable volume-based strategies on Strategy Decoder?

The active catalog and the volume and trend-filter concept hubs list decoded video strategies whose indicator parameters and entry/exit rules were fully extracted.

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