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Markets evolve. Strategies must adapt.

Static strategies decay. Evolution adapts.

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darwintIQ live trading models dashboard

Evolutionary selection — in real time

Technology

Static backtests optimize for the past. Evolutionary selection adapts to the present.

  1. Trading Model Evolution

    A Trading Model consists of an entry logic generator, a position manager and a regime filter. Each strategy is a unique combination of these components, with different parameters (Genes)

  2. Live Backtesting

    Every minute, our system runs thousands of simulations on live market data. It tests each Trading Model against the current market conditions, evaluating their performance in real-time.

  3. Natural Selection

    Only the most consistent and profitable trading strategies ‘survive’ and produce offsprings. Just like in nature.

  4. Adaptation to Market Changes

    The best models are constantly evolving to adapt to changing market conditions. They learn from their past performance and adjust accordingly.

Entry LogicPosition ManagerRegime FilterTrading Model AEntry LogicPosition ManagerRegime FilterTrading Model BEntry LogicPosition ManagerRegime FilterOffspringMutant

Built for regimes, not narratives

Why darwintIQ

Our system is designed to adapt to the ever-changing market conditions, ensuring that you always have the most relevant and effective trading strategies at your fingertips.

Always Up to Date

Our engine constantly evolves by analyzing the latest market data and adapt to changing markets — so you're never trading yesterday’s logic.

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Connect with the API

Connect the analysis results to your own systems. Build automation. Connect it with MetaTrader. Automate your trades, analyze sentiment, or build your own trading strategies using our API. Be creative!

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No Overfitting

Models are tested in a sliding time window. This ensures it adapts to real market conditions, not just past data.

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No Hype — Just Data

We don’t promise entry logic that ‘always wins’. We show you which ones are actually performing now — backed by hard data. If there's no entry logic, we say so. If there is, we show you the data behind it. No hype, just results.

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Live Trading Model Fitness Tracking

Live Intelligence

See which strategy clusters are currently dominant — and when the last entry logic triggered.
Live View
Latest Backtest (3 days ago)

Live Model Score Card

SymbolXAUUSD
Model Condition
Stable
Avg. Pips / Trade18.90
Expected Value (Pips per Trade)18.89
Trades Won47
Trades Lost9
Pips Won1085.4
Pips Lost27.5
Max. Drawdown (Pips)6.2
Robustness Score
56
Last model eventBearish(detected 3 days ago)
Move Since Entry (Pips)-2097.74993.89 -> 5203.66

Model Lifecycle

Born At
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Age
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Generations
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Status
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Last Retest
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Last Seen
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Model History

No history yet.
Balance
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Trading Model DNA

BollingerBands

The Bollinger Bands strategy generates trading signals based on price movements relative to the Bollinger Bands, calculated over a 17-period with a standard deviation multiplier of -0.10. The middle band is a moving average (type: 1), and signals consider a recent middle-band crossover within 57 periods, using the Low price.

  • A BUY (Long) signal is generated when a candle opens and closes below the lower Bollinger Band, followed by a recent middle-band crossover from above within 57 periods.
  • A SELL (Short) signal is generated when a candle opens and closes above the upper Bollinger Band, followed by a recent middle-band crossover from below within 57 periods.

Smart questions. Everything you need to know.

Frequently Asked Questions