# Peceptron_Mult

Uses a simple neural network (perceptron) based on iAC indicator values to determine trades.

Canonical: https://prismaticalgos.com/compendium/algo/52-peceptron-mult
Record ID: 52
Catalog rank: 1199 (reading order, not performance)
Snapshot: 2026-10-31 15:46 UTC
Family: Statistical, Quantitative & Machine Learning (I)
Source: https://www.mql5.com/en/code/22693
Evidence label (unverified): source_code

## Scope and limitations

These are machine-extracted research records, not verified trading systems. Catalog rank measures specification detail and claimed evidence, not profitability. The catalog extraction pipeline did not independently backtest these records. Its separate selected testing ledger does not validate the wider corpus. Rules, labels and parameters can be incomplete or wrong; consult the original source and its reuse terms.

No endorsement, ownership claim or source-code reuse permission is implied.

## Extraction warnings

No automated warnings recorded; this is not validation.

## Recorded profile

- symbols: EURUSD, GBPJPY, AUDNZD
- timeframes: HTF
- sessions: Not specified
- market_regime: any

## Indicators

- iAC: Not specified; applied to: close
- Heiken_Ashi_Smoothed_Trend_HTF: Not specified; applied to: Not specified

## Recorded long-entry rules

- Not specified.

## Recorded short-entry rules

- Not specified.

## Recorded exit rules

- Not specified.

## Recorded filters

- Not specified.

## Risk controls

- Stop loss: Not specified
- Take profit: Not specified
- Position sizing: The minimum number of lots is specified in the variables of Number of minimum lots for Symbol #. Example: The minimum lot size is 0.1 on Symbol #1 and 0.01 on Symbol #2, i.e., the difference is ten times. So, if variable Number of minimum lots for Symbol # is set as 10 for both symbols, then a position of 1.0 lots (0.1 x 10) will be opened for Symbol #1 and 0.10 lots (0.01 x 10) for Symbol #2.