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Extracted algorithm research record

NeuroPrice Navigator

Uses a hybrid TCNN-LSTM neural network with attention mechanism to predict price direction and generate trading signals.

Record 8568 · Catalog rank 109 · Statistical, Quantitative & Machine Learning · Subtype I1 · Snapshot 2026-10-31 15:46 UTC

Source & extraction context

Open original source ↗

Evidence label: backtest_shown (source claim, not independent verification). Recorded completeness: 80.0/100. 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

Signal warnings

Opacity warnings

Build warnings

Recorded market & execution profile

Recorded markets
EURUSD, GBPUSD, USDJPY
Recorded timeframes
M15
Recorded sessions
9:00-23:00 UTC
Recorded regime
any

Recorded indicators & parameters

Extracted indicator stack
IndicatorParametersApplied to
ADX{"period": 10}close
CCI{"period": 14}close
WPR{"period": 12}close
STD_Dev{"period": 12}close
MFI{"period": 10}close
ATR{"period": 12}close

Extracted strategy rules

Recorded long-entry rules

Recorded short-entry rules

Recorded exit rules

Recorded filters

Stop loss
400 points
Take profit
200 points
Position sizing
Risk per trade: 1.0% of free margin, with adaptive lot calculation

Questions about this record

What entry rules are recorded for NeuroPrice Navigator?

Long: P(up) ≥ 0.65 Short: P(up) ≤ 0.35 These are unverified extracted rules.

Which markets and timeframes are recorded?

Markets: EURUSD, GBPUSD, USDJPY. Timeframes: M15. These are source-recorded labels, not verified execution behavior.