Examples

Core Builder Pattern

Every strategy follows the same structural pipeline:

Price Data 
    → Indicator(s) 
        → Condition(s) 
            → Logic Gate(s) 
                → Action (Buy / Sell)

Nothing executes unless the full logic chain evaluates to true.

Example 1: SMA Crossover Trend Strategy

Goal Enter when short-term trend overtakes long-term trend. Exit when it reverses.

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Nodes Used

• Price Data

• SMA

• Crossover

• Buy Signal

• Sell Signal

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Step-by-Step (UI Actions)

1. Add Price Data

   • Select one or more related markets

   • This price stream feeds all downstream nodes

2. Add Indicators

   • SMA

     • Name: sma_10

     • Period: 10

   • SMA

     • Name: sma_20

     • Period: 20

3. Add Entry Condition

   • Crossover

     • Type: Cross Above

     • Left input: sma_10

     • Right input: sma_20

4. Add Entry Action

   • Buy Signal

     • Executes BUY order when crossover fires

5. Add Exit Condition

   • Crossover

     • Type: Cross Below

     • Left input: sma_10

     • Right input: sma_20

6. Add Exit Action

   • Sell Signal

     • Executes SELL order on crossover

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Variables

• sma_10: Simple Moving Average, period = 10

• sma_20: Simple Moving Average, period = 20

• Cross Above: triggers only at the moment the crossing occurs

• Cross Below: inverse crossing event

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Example 2: RSI Mean Reversion Strategy

Goal Buy when momentum is oversold, exit on normalization.

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Nodes Used

• Price Data

• RSI

• Compare

• Buy Signal

• Sell Signal

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Step-by-Step (UI Actions)

1. Add Price Data

   • Select a range-bound or choppy market set

2. Add Indicator

   • RSI

     • Name: rsi_14

     • Period: 14

3. Add Entry Condition

   • Compare

     • Operator: <

     • Left input: rsi_14

     • Value (if no right input): 30

4. Add Entry Action

   • Buy Signal

5. Add Exit Condition

   • Compare

     • Operator: >

     • Left input: rsi_14

     • Value (if no right input): 50

6. Add Exit Action

   • Sell Signal

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Variables

• rsi_14: Relative Strength Index, period = 14

• 30: Oversold threshold

• 50: Neutral exit threshold

• <, >: numeric comparison operators

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Example 3: Momentum + Filter (MACD + RSI Confirmation)

Goal Enter only when momentum turns positive and RSI confirms strength.

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Nodes Used

• Price Data

• MACD

• RSI

• Compare

• AND

• Buy Signal

• Sell Signal

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Step-by-Step (UI Actions)

1. Add Price Data

   • Select multiple markets within the same category

2. Add Indicators

   • MACD

     • Name: macd_fast

     • Fast: 12

     • Slow: 26

     • Signal: 9

   • RSI

     • Name: rsi_14

     • Period: 14

3. Add Entry Conditions

   • Compare (Momentum)

     • Operator: >

     • Left input: macd_fast

     • Value: 0

   • Compare (Confirmation)

     • Operator: >

     • Left input: rsi_14

     • Value: 55

4. Combine with Logic Gate

   • AND

     • Both conditions must be true

5. Add Entry Action

   • Buy Signal

6. Exit Logic

   • Compare

     • Operator: <

     • Left input: rsi_14

     • Value: 45

   • Sell Signal

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Variables

• macd_fast: MACD value (Fast EMA − Slow EMA)

• rsi_14: Relative Strength Index, period = 14

• 0: Momentum neutrality threshold

• 55, 45: Confirmation / exit thresholds

• AND: all upstream conditions must be true

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How to Read Backtest Results (What to Check First)

After running a backtest, inspect in this order:

1. Trade Count

   • Too many → noise / overfitting

   • Too few → regime dependence

2. Max Drawdown

   • Indicates path-dependency and tail risk

3. Cumulative PnL Curve

   • Smooth → structural edge

   • Stair-step or cliff-like → event sensitivity

4. Order History

   • Verify trades trigger where logic says they should

   • Check for clustering or over-reaction

5. Win Rate vs PnL

   • High win rate + low PnL → execution drag

   • Low win rate + positive PnL → convex payoff