SKU: 100007

AI GPT-4o Raw Dawg Expert Advisor for MT5

£199.00

AI GPT-4o Raw Dawg EA for MT5

Raw Dawg (Dog) meaning this GPT-4o engine does not have many technical rules, if the AI is bullish we go long, bearish we go short. Anything else is “no-trades” or “close-trades” . GPT-4o is “Raw Dogging the trading” with minimal Technical Analysis.

 

We at Retail Trading Realities Ltd, have no control over the signals. GPT-4o analyses; Yahoo Finance News, Yahoo Finance Key Financials, Institutional Analysis from FXStreet.com and Daily Chart Screenshot that has some indicators . It then decides if Bullish or Bearish, Flat, Close-All .

We only set the lot size and what symbol is to be traded .

Symbols: USDJPY, XAUUSD, COST, META, MSFT, USTECH, NVDA, TSLA

The EA connects to our OpenAI API response database via Web requests, that database is updated 5 times a day . You can see the analysis on Screen via the GUI (Graphic User Interface) and also in the .txt files created in  “…/your_terminal_id/MQL5/Files” directory.

Type in the Symbol name you want to see in the GUI in the EA Inputs Tab . It must match the name of the Symbol in the Database and not necessarily the symbol name your broker provides.

This Expert Advisor has no back tests, we have no idea how the AI would have traded in the past, AI GPT models get updated etc…

This AI costs us £200 a month in API fees, to maintain the database, you are so fortunate to be able to get your hands on a real Artificial Intelligence trading algorithm at the retail level.

The more sales we get the more we can reinvest in getting better quality data for this AI project. More Symbol will be added after we get more sales and have more data.

 

🆕 💡 GPT-4o RAW DAWG Expert Advisor for MetaTrader 5 🤖

▶️ No Price Action

▶️ Zero Indicators

▶️ No Set 📐 Rules

▶️ GPT-4o raw dogging trading . 100% Buy Sell prompt from Chat GPT-4o .

 

👽AI analyses:

📈Daily chart,

📰 News,

📊 Key Financials,

👨‍🏫Institutional Analysis.

#forex #stocks #xauusd #openai

Retail Trading Realities YouTube showing that we are using real AI in our short course :

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