Triangular Moving Average (TRIMA)
Install and import#
npm install fintech-algorithmsimport { triangularMovingAverageTrima } from "fintech-algorithms/technical-indicators/trend-smoothing/triangular-moving-average-trima";Signature#
triangularMovingAverageTrima(input)Smooths close twice with simple moving averages, an inner window of floor((period + 1) / 2) followed by an outer window of floor(period / 2) + 1, giving the triangular weighting its name.
Parameters#
| Name | Type | Notes |
|---|---|---|
input | TopicInput | bars is a non-empty array of OHLCV records with strictly increasing timestamp, finite open, high, low, close and non-negative volume, all sharing one adjustment basis. From parameters this topic reads only period, an integer of at least 2, default 14. |
Returns#
TopicResult
series and latest carry a single key, value, the doubly smoothed close. The first period - 1 entries are null while the two stacked windows fill, so with the default period ready_at is 13.
Warm-up#
The first period - 1 bars (13 at the default period of 14) positions are null. The inner average first prints at index floor((period + 1) / 2) - 1 and the outer one needs floor(period / 2) + 1 of those, which together add up to exactly period - 1 leading nulls. ready_at is the index of the first non-null value.
Errors#
- When
parameters.periodis not an integer of at least 2 — throws Error - When
barsis empty, or a bar has a non-finite price, a negative volume, a high below its open/close/low, or a timestamp that does not increase — throws Error
Complexity: time O(n * period),
space O(n).
Worked example#
executed Captured by running this function on the input its own test provides. Real output of real code — but not asserted against a published figure.
Input#
{
"bars": [
{
"timestamp": "2024-01-02",
"basis": "synthetic-unadjusted",
"open": 100,
"high": 101.45,
"low": 98.695,
"close": 100,
"volume": 750000,
"benchmark": 200
},
{
"timestamp": "2024-01-03",
"basis": "synthetic-unadjusted",
"open": 101.49111452,
"high": 103.38381693,
"low": 100.05480022,
"close": 101.78791214,
"volume": 795117,
"benchmark": 200.56326135
},
{
"timestamp": "2024-01-04",
"basis": "synthetic-unadjusted",
"open": 102.45519048,
"high": 104.6701838,
"low": 100.91147007,
"close": 102.9549389,
"volume": 840234,
"benchmark": 201.11020913
}
],
"parameters": {}
}Call#
triangularMovingAverageTrima(input)Returns#
object with 9 fields: topic_id, title, state, ready, ready_at, series, latest, parameters, …
{
"topic_id": "D07-F01-A10",
"title": "Triangular Moving Average (TRIMA)",
"state": "calculated",
"ready": true,
"ready_at": 13,
"series": {
"value": [null, null, null, null, null, null]
},
"latest": {
"value": 105.29699925285715
},
"parameters": {},
"diagnostics": {
"causal": true,
"input_count": 96
}
}Diagrams#
Calculation flow#
Triangular Moving Average (TRIMA) calculation flow
flowchart LR
A["an oldest-to-newest finite price series, declared price so"] --> B["Validate order, basis, and finite values"]
B --> C["Apply the selected Triangular Moving Average (TRIMA) convention"]
C --> D["Emit value, readiness, and diagnostics"]
D --> E["Interpret descriptively; test outcomes separately"]
B -->|invalid or insufficient| X["Withhold output with a reason"]
Triangular Moving Average (TRIMA) readiness and evidence states
stateDiagram-v2
[*] --> Waiting
Waiting --> Ready: enough valid causal observations
Waiting --> Rejected: malformed or unsupported input
Ready --> Calculated: selected formula applied
Calculated --> Interpreted: diagnostic and limitation retained
Interpreted --> Ready: next observation arrives
Rejected --> Waiting: corrected input and deterministic reset
How it works#
This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.
References#
- TA-Lib function groups — see linked primary or authoritative record
- TA-Lib C/C++ API — see linked primary or authoritative record
- TA-Lib maintained source — see linked primary or authoritative record
- Evidence decision
- Level 1 evidence map