加密货币影响者的比特币交易算法在审查中引起怀疑

加密货币影响者 Rekt Fencer 分享了使用 OpenAI 的 ChatGPT 进行比特币交易的算法，引发了对该机器人性能的怀疑。该机器人是使用布林线指标创建的，据称为 Rekt Fencer 创造了 71,500 美元的利润。然而，用户质疑结果的真实性，这表明交易者可能使用了回测数据，而不是实际的实时市场利润。

Crypto Influencer's Bitcoin Trading Algorithm Raises Doubts Amid Skeptical Scrutiny

加密货币影响者的比特币交易算法在怀疑的审查中引发质疑

Cryptocurrency influencer Rekt Fencer's recent claim to have created a profitable Bitcoin (BTC) trading algorithm using OpenAI's ChatGPT has sparked a wave of skepticism within the crypto community.

加密货币影响者 Rekt Fencer 最近声称使用 OpenAI 的 ChatGPT 创建了一种可盈利的比特币 (BTC) 交易算法，这在加密社区内引发了一波怀疑。

Trading algorithms are commonly used in financial markets to automate trading decisions based on predefined rules and mathematical models. Rekt Fencer alleges to have developed such an algorithm that reportedly generated $71,500 in profits.

交易算法通常用于金融市场，根据预定义的规则和数学模型自动做出交易决策。 Rekt Fencer 声称开发了这样一种算法，据说创造了 71,500 美元的利润。

According to Rekt Fencer's Twitter thread on April 25th, the algorithm utilizes the Bollinger Bands Indicator on the TradingView platform. He claims to have built the bot in just 10 minutes using ChatGPT's AI prompts, which were also used to resolve coding errors and technical glitches.

根据 Rekt Fencer 4 月 25 日的 Twitter 帖子，该算法利用 TradingView 平台上的布林线指标。他声称使用 ChatGPT 的人工智能提示仅用了 10 分钟就构建了该机器人，该提示还用于解决编码错误和技术故障。

However, many users have expressed doubts about the authenticity of Rekt Fencer's claims. They argue that the alleged profits are the result of backtesting, a simulation process that does not reflect actual market conditions.

不过，不少用户对Rekt Fencer说法的真实性表示怀疑。他们认为，所谓的利润是回溯测试的结果，这是一个不反映实际市场状况的模拟过程。

Backtesting involves testing a trading strategy on historical data, which can provide misleading results compared to real-time trading. Skeptics point out that Rekt Fencer's thread only mentions profits and not losses, a scenario that is highly unlikely in live market trading.

回测涉及根据历史数据测试交易策略，与实时交易相比，这可能会提供误导性结果。怀疑论者指出，Rekt Fencer 的帖子只提到了利润，没有提到损失，这种情况在实时市场交易中极不可能出现。

Furthermore, critics argue that creating a trading algorithm is a complex process that requires significant technical expertise. They question whether AI bots like ChatGPT are capable of generating effective trading strategies, given their potential limitations in understanding the intricacies of financial markets.

此外，批评者认为创建交易算法是一个复杂的过程，需要大量的技术专业知识。他们质疑像 ChatGPT 这样的人工智能机器人是否能够生成有效的交易策略，因为它们在理解金融市场的复杂性方面存在潜在的局限性。

"Making a trading algo it's complicated and can't be based on a retail indicator," commented GP Crypto Chief, a prominent crypto analyst. "Profit factor of 2.20 in testing is way too low and likely he excluded the settings where fees are not calculated."

著名加密货币分析师 GP Crypto Chief 评论道：“制定交易算法很复杂，而且不能基于零售指标。” “测试中 2.20 的利润系数太低了，他可能排除了不计算费用的设置。”

The debate surrounding Rekt Fencer's trading algorithm highlights the importance of caution when using automated trading systems, especially those based on unproven AI technology. Users should thoroughly evaluate the credibility of such systems before deploying real capital.

围绕 Rekt Fencer 交易算法的争论凸显了使用自动交易系统时谨慎的重要性，尤其是那些基于未经验证的人工智能技术的交易系统。用户在部署真实资本之前应彻底评估此类系统的可信度。

It is crucial to note that while AI and machine learning can assist traders in analyzing data and identifying trends, they should not be solely relied upon for making investment decisions. Traders should always exercise due diligence, conduct thorough research, and understand the risks associated with automated trading.

值得注意的是，虽然人工智能和机器学习可以帮助交易者分析数据和识别趋势，但不应仅仅依赖它们来做出投资决策。交易者应始终进行尽职调查，进行彻底的研究，并了解与自动交易相关的风险。