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Extracted algorithm research record

Wavelet-LSTM Money Management

Uses Wavelet-Thresholding to clean log-returns and LSTM to interpret the cleaned data for dynamic lot sizing in volatile markets.

Record 257 · Catalog rank 336 · Statistical, Quantitative & Machine Learning · Subtype I1 · Snapshot 2026-10-31 15:46 UTC

Source & extraction context

Open original source ↗

Evidence label: source_code (source claim, not independent verification). Recorded completeness: 50.0/100. Neither is a performance result.

Names identify source records. Inclusion is not an endorsement or a claim of authorship, ownership or reuse permission. Check the source license before reusing any implementation.

Extraction warnings

No automated warnings are recorded in this snapshot. This does not establish that the extraction or system is sound.

Recorded market & execution profile

Recorded markets
any
Recorded timeframes
any
Recorded sessions
any
Recorded regime
volatile|trending

Recorded indicators & parameters

Extracted indicator stack
IndicatorParametersApplied to
Relative Strength Index (RSI){}close
Average True Range (ATR){}close

Extracted strategy rules

Recorded long-entry rules

Recorded short-entry rules

Recorded exit rules

Recorded filters

Stop loss
Not specified
Take profit
Not specified
Position sizing
dynamic lot sizing multiplier based on RSI, ATR, and Wavelet signal

Questions about this record

What entry rules are recorded for Wavelet-LSTM Money Management?

Long: Not specified. Short: Not specified. These are unverified extracted rules.

Which markets and timeframes are recorded?

Markets: any. Timeframes: any. These are source-recorded labels, not verified execution behavior.