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Extracted algorithm research record

Erdos–Renyi Theory

Adaptive trading strategy using random graph theory to forecast market direction and manage trades.

Record 6810 · Catalog rank 237 · Mean Reversion & Counter-Trend · Subtype B2 · 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

Opacity warnings

Recorded market & execution profile

Recorded markets
any
Recorded timeframes
M1
Recorded sessions
any
Recorded regime
volatile

Recorded indicators & parameters

Extracted indicator stack
IndicatorParametersApplied to
EMA{"period": 21}close
EMA{"period": 89}close
ATR{"period": 14}Not specified
RSI{"period": 14}Not specified

Extracted strategy rules

Recorded long-entry rules

Recorded short-entry rules

Recorded exit rules

Recorded filters

Stop loss
ATR * 2.0
Take profit
3.0 R multiples
Position sizing
risk per trade (% of balance) = 1.0

Questions about this record

What entry rules are recorded for Erdos–Renyi Theory?

Long: k-step random walk expectation >= 0.15 1 - normalized entropy of the k-step row >= 0.03 current node bias must align with forecast Short: k-step random walk expectation <= -0.15 1 - normalized entropy of the k-step row >= 0.03 current node bias must oppose the forecast These are unverified extracted rules.

Which markets and timeframes are recorded?

Markets: any. Timeframes: M1. These are source-recorded labels, not verified execution behavior.