TradeGPT is an automatic full-cycle trading system that combines four stages of trade management and three stages of trade decision making. The Forex expert advisor is said to offer a unique combination of technical analysis and artificial intelligence to make accurate trading decisions. However, there are several issues with this program that may be of concern to traders.
The developer of TradeGPT is someone called Aleksei Krasov, from Russia. He appears to be an inexperienced and unestablished trader in the marketplace. While there are five products in his catalog, there are no website or contact details available, which can make it difficult for potential customers to directly reach out for support or inquiries.
Furthermore, the developer has no signals accounts on MQL5, which means that he has not yet established a track record of successful trading signals.
PS: TradeGPT claims to offer a unique and efficient trading solution, but its lack of transparency and the high price tag may make it a risky investment for traders. Traders may find it more cost-effective to consider the best Forex robots that offer more transparency and lower prices.
TradeGPT EA Review
The robot lacks a detailed backtesting report and live trading results, which can make it difficult for traders to evaluate its performance and effectiveness. Additionally, the program is overpriced compared to other trading robots on the market.
Here are some of its notable features:
- TradeGPT has four stages of trade management, including search, entry, control, and exit.
- The program also has three stages of trade decision-making, including a GPT system on 4 SMA, 12 patterns for buy and sell, and an adapted mathematical model of Fourier and Laplace transforms.
- TradeGPT applies trailing stop loss and take profit, tracking every tick of price change.
- The developer recommends using TradeGPT on EURUSD, M1 with at least 300 USD to start.
TradeGPT Strategy
The TradeGPT strategy explanation comes out as very complex and unhelpful. According to the developer, the TradeGPT has a strategy based on a combination of technical analysis and artificial intelligence. The program uses ChatGPT to find the best market entry strategy and supplements it with a filter based on common technical analysis. The algorithm also uses an advanced mathematical model based on Fourier and Laplace transforms to control the market and set stop orders correctly.
This allows the program to follow the trend and exit at the right time when there is a high probability of a trend change.
EA Breakdown
- Type: Forex Robot
- Strategy: Artificial intelligence and technical analysis
- Recommended pair: EURUSD
- Timeframe: M1
- Price: $590
The TradeGPT EA is available at a high price of $590. With no detailed backtesting report and no live trading results available, it is difficult to justify the high price tag of TradeGPT. Traders may find it more cost-effective to consider the best Forex robots that offer more transparency and lower prices.
Backtesting Report
The developer provided a very deficient screenshot showing backtesting results. This makes it difficult for traders to evaluate its performance in different market conditions. Without this information, traders may be unable to make informed decisions about whether to use the robot for their trading activities.
Trading Results
Also, there is no live trading result available for TradeGPT. While backtesting results may provide some indication of its performance in the past, there is no guarantee that it will perform well in the future. Without verified live trading results, traders may have to rely solely on historical data, which may not accurately reflect current market conditions.
This lack of transparency can make it challenging for traders to evaluate the program’s effectiveness and reliability.
TradeGPT EA Review Conclusion
TradeGPT claims to offer a unique and efficient trading solution, but its lack of transparency and the high price tag may make it a risky investment for traders.
While the strategy sounds sophisticated, it can be challenging to evaluate the program’s performance in different market conditions without live trading results.