Multiply

$\text{Product}_i = A_i \times B_i$

Computes element-wise multiplication of two numeric series. Essential for scaling, weighting, and position sizing.

First (A)	Second (B)	Product
100	1.02	102
50	0.5	25
-10	3	-30
0	999	0

---

Missing Data

If either input is missing (null) at a position — a data gap or a closed-market day — the product at that position is null. The module never invents a value for missing data: a gap in your inputs stays a gap in the output.

First (A)	Second (B)	Product
100	null	null
null	0.5	null
0	999	0

A genuine zero is a real value, not missing data — multiplying by 0 still yields 0. Separate from missing data, a result can be mathematically undefined: multiplying zero by an infinite value has no answer, so that position is also null even though both inputs exist. Any other infinite result passes through unchanged.

In live execution the module returns exactly one datapoint — the newest position — which is null when it cannot be determined.

---

Precision Rounding

⚠️ Important: Results are rounded to 6 decimal places. For calculations requiring higher precision (e.g., very small cryptocurrency fractions), be aware of this limitation.

Actual Result	Output
0.123456789	0.123457
1.0000001	1.0

---

Input Alignment

Systemic automatically aligns inputs before multiplication:

Scenario	What Happens
Different lengths	Shorter series padded by repeating last value
Different frequencies	Lower-frequency upsampled to match higher
One constant	Constant expanded to match series length

---

Practical Example: Position Value Calculation

Multiplying quantity by price gives portfolio exposure:

$\text{Position Value} = \text{Shares} \times \text{Price}$

Shares	Price	Position Value
100	150.00	15,000
50	200.00	10,000
200	75.00	15,000

Connect a signal determining quantity to one input and price data to the other for dynamic position tracking.

---

Related Modules

• DIV — Division for ratio calculations
• ADD / SUB — Combine or offset values
• POW — Exponentiation for compound growth