17. Moving average
moving_average()Asked in screens shaped like: Bloomberg, QuantCo
Return the simple moving average of x with window w (valid / trailing windows only), each value rounded to 4 decimals.
Examples
Example 1
Input: { "x": [1, 2, 3, 4, 5], "w": 3 } Output: [2, 3, 4]
Constraints
- 1 <= w <= len(x)
Implement moving_average(). Types below are the NumPy contract; Python and PyTorch use lists or tensors with the same names.
| Name | Type | I/O |
|---|---|---|
| x | array | Input |
| w | int | Input |
| value | array | Output |
Same tests, three APIs. Pick a language with the chips above the editor.
NumPy
Vectorized arrays. Default for analyst, scientist, and DE screens.
Revealed one at a time. The reference implementation stays in the Solution tab.
Hint 1
Keep the function signature. Fill the body — do not rename parameters.
Hint 2
Match the rounding in the examples. Tests compare with a small numeric tolerance.
Hint 3
Switch NumPy / Python / PyTorch with the chips above the editor. Each language has its own tests.
Run your code to see stdout.
Submit to run the checks.
All tests passed on this language.
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