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Examples

These examples show strategy ideas and TradeJS wiring patterns. They are starting points for research, not trading recommendations.

1. Simple Moving Average Strategy​

Use this when you want the smallest understandable TypeScript strategy idea: compare a fast and slow moving average and enter on a crossover.

const crossedUp = fastPrev <= slowPrev && fastCurrent > slowCurrent;
const crossedDown = fastPrev >= slowPrev && fastCurrent < slowCurrent;

if (crossedUp) {
  return strategyApi.entry({
    direction: 'LONG',
    orderPlan: {
      qty,
      stopLossPrice,
      takeProfits: [{ rate: 1, price: takeProfitPrice }],
    },
  });
}

if (crossedDown) {
  return strategyApi.entry({
    direction: 'SHORT',
    orderPlan: {
      qty,
      stopLossPrice,
      takeProfits: [{ rate: 1, price: takeProfitPrice }],
    },
  });
}

return strategyApi.skip('NO_MA_CROSS');

Related pages:

2. Breakout Strategy​

The built-in Breakout strategy uses a weighted signal model. A long setup can require price and indicator conditions such as trend, OBV, volatility, and level breakout.

Conceptual config shape:

export default {
  INTERVAL: '15',
  SIGNALS_LONG: {
    SMA_UPTREND: { weight: 1, required: true },
    OBV_ABOVE_SMA: { weight: 1 },
    CLOSE_ABOVE_HIGH_LEVEL: { weight: 2, required: true },
  },
  REQUIRED_SCORE_LONG: 3,
};

Related pages:

3. Trendline / Channel-Based Strategy​

TradeJS has multiple geometry-based strategies, including TrendLine, ReverseTrendLine, and AdaptiveTrendChannel.

The common idea is:

  1. Build a support/resistance line or adaptive channel from prior candles.
  2. Wait for a breakout, rejection, or channel flip.
  3. Attach figures so the chart explains the decision.
  4. Size the trade from stop distance and configured max loss.

Conceptual decision shape:

return strategyApi.entry({
  code: 'TRENDLINE_BREAKOUT',
  direction: modeConfig.direction,
  figures: buildTrendLineFigures({ line, entryPrice, stopLossPrice }),
  additionalIndicators: {
    trendLine: line,
    touches: line.touches.length,
    distance: line.distance,
  },
  orderPlan: {
    qty,
    stopLossPrice,
    takeProfits: [{ rate: 1, price: takeProfitPrice }],
  },
});

Related pages:

First Runnable Backtest​

For the complete package-only flow, run npx create-tradejs as described in Run your first backtest. It creates an npm project, starts local infrastructure, seeds MaStrategy:base, and opens the Backtest UI.