MACD, Fractal, ADX Bot Creation with AI

Learn to create a trading bot for EURUSD on M15 using MACD, Fractal, and ADX indicators, leveraging AI for code generation and automated trading.

Published · Updated · Methodology: Technical Indicators

Part of: MACD Strategies

  • Methodology: Technical Indicators
  • Content type: educational
  • Timeframes: M15
  • Markets: Eurodollar (EURUSD)

Indicators used

  • MACD
  • Fractal
  • ADX

Source video

Decoded from: Monté un Bot con IA GRATIS (paso a paso) by Código Trading — watch the original

Key timestamps:

  • 0:00 - Introducción
  • 0:41 - Advertencia de Riesgo
  • 1:29 - Paso 1 – Crear el bot con IA
  • 1:52 - Parte Practica: Creando el Bot
  • 8:34 - Super Prompt Secreto del Trading GRATIS
  • 25:38 - SuperPrompt GRATIS
  • 26:06 - Curso Trading con ChatGPT & IA

Strategy overview

MACD reads momentum by comparing two exponential moving averages against a signal line — that part is textbook. What makes this entry unusual is that the strategy is not really the subject of its source video: "Monté un Bot con IA GRATIS (paso a paso)" by Código Trading is a build-along in which a free AI tool writes the bot, and the MACD + Fractal + ADX combination on a 15-minute chart is the specification handed to that tool rather than a setup argued for on its own merits. The published chapter list makes the priority plain — after a risk warning, the bulk of the runtime is the practical build, and the free "super prompt" that drives it is signposted twice.

The trio itself is a conventional division of labour: an oscillator for momentum, fractals for marking local swing points, and ADX for a reading on directional strength. What the video does not do is commit to values. Every parameter is presented as editable and left to be tuned afterwards, which is the detail worth registering before copying the approach — what is being handed over is a search space, not a settled configuration. On M15, degrees of freedom multiply fast, and a combination that only looks attractive after a parameter sweep is the most familiar way an in-sample equity curve gets manufactured.

Two things a reader should carry into it. The chapters move from risk warning to construction to the prompt giveaway with no validation segment in between, so "I built a bot" is a claim about construction, not about performance — the creator's own risk disclaimer up front is consistent with that. And an AI-generated implementation is only as reproducible as the prompt behind it: the same instruction can produce different code on a different run, model or version, so anyone following along may not end up with the same bot. No rule-level breakdown was extracted for this entry — this page covers the concept and how the source video approaches it.

Topics

trading strategy · pine script · tradingview strategy · macd strategy · fractal indicator strategy · adx indicator strategy · eurusd strategy · forex strategy · 15 minute strategy · algorithmic trading · trading bot · mql5 strategy · ai trading bot creation

Frequently asked questions

Can you really build a trading bot with AI for free?

AI code assistants can turn a plain-language specification — which indicators to use, what should be adjustable, how stops and targets should be sized — into working strategy code, and several are usable at no cost. What the AI handles is the translation into code, not the question of whether the underlying logic has an edge; that still has to be established by testing.

What do MACD, fractals and ADX contribute in a combined system?

MACD tracks momentum by measuring the spread between a fast and a slow moving average against a signal line. Fractals mark local swing highs and lows, giving a mechanical way to reference market structure. ADX measures the strength of directional movement rather than its direction. Combining them is a common way to pair a momentum signal with structural reference points and a filter or sizing input.

What timeframe is this bot built for?

The version decoded from the source video works on the 15-minute chart (M15), an intraday timeframe where execution costs and parameter sensitivity both matter more than on higher timeframes.

How should I evaluate an AI-generated strategy before running it live?

Treat generated code as a draft, not a result: read it to confirm it does what the prompt asked, then backtest it with realistic spread, commission and slippage, and check whether the parameters were chosen on the same data used to judge them. Strategy Decoder extracts the structure of strategies like this one from video sources so you can evaluate and test them on TradingView.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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