Extracted algorithm research record
Ilan 3.0 AI
Uses Q-learning to adaptively manage positions and optimize trading in response to market conditions.
Source & extraction context
Evidence label: forward_results (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
- UNDEFINED ENTRY TERM: the entry conditions are prose naming a concept with no numeric definition, so two readers would implement them differently. Advisory only -- this does not affect the score.
Recorded market & execution profile
- Recorded timeframes
- M15
- Recorded sessions
- any
- Recorded regime
- any
Recorded indicators & parameters
| Indicator | Parameters | Applied to |
|---|---|---|
| RSI | {"period": 14} | close |
| CCI | {"period": 14} | close |
| MACD | {"fast_period": 12, "signal_period": 9, "slow_period": 26} | close |
Extracted strategy rules
Recorded long-entry rules
- SelectAction(stateStr) > 0
Recorded short-entry rules
- SelectAction(stateStr) < 0
Recorded exit rules
- ClosePositions(symbol, magic) if profit > 0 and positionsCount > 0
Recorded filters
- Not specified in the extracted record.
- Stop loss
- not explicitly stated
- Take profit
- not explicitly stated
- Position sizing
- determined by Q-learning algorithm
Questions about this record
What entry rules are recorded for Ilan 3.0 AI?
Long: SelectAction(stateStr) > 0 Short: SelectAction(stateStr) < 0 These are unverified extracted rules.
Which markets and timeframes are recorded?
Markets: EURUSD, AUDUSD. Timeframes: M15. These are source-recorded labels, not verified execution behavior.