With the rise of AI in finance, I decided to put ChatGPT to the test in a 30-day crypto trading challenge, focusing on lesser-known cryptocurrencies. The goal? See if AI could help identify emerging cryptos and turn a profit. Here’s what I discovered.
Challenge Setup: Rules & Strategy
I
followed a simple daily routine for 30 days:
1. Ask ChatGPT for a crypto recommendation.
2. Invest $100 in the suggested coin.
3. Hold for 24 hours, then sell.
4. Repeat the process the next day.
Day 1: A Slow Start with Vechain ($VET)
ChatGPT’s first pick was Vechain ($VET), a blockchain project focused on supply chain management. I bought 2,000 VET for $100. By the end of the day, the price barely moved, but I remained optimistic.
Week 1: Small Gains, Small Losses
Total Trades: 5
Profitable Trades: 2
Net Result: $4 loss
The first few days were a mix of small wins and losses. Some coins ChatGPT suggested were completely new to me, while others repeated. The randomness was frustrating, but I trusted the process.
Week 2: Identifying AI’s Strategy
A pattern emerged: ChatGPT favored trending cryptos—ones gaining attention due to partnerships or technological updates.
Notable Picks:
Hedera ($HBAR): Repeatedly suggested due to its fast blockchain tech.
Zilliqa ($ZIL): Recommended multiple times for its scalability innovations.
I realized ChatGPT was tracking market momentum, often selecting cryptos getting buzz on social media.
Midway Breakthrough: A Big Win with BAT
One of the best trades came when ChatGPT picked Basic Attention Token ($BAT)—a crypto linked to digital advertising.
Outcome:
BAT surged 25% in 24 hours!
Profit: +$30
Covered earlier losses
This moment proved AI could spot emerging opportunities, especially when driven by industry news.
Final Results: Did I Make Money?
After 30 days, here’s what my trading record looked like:
Total Trades: 21
Profitable Trades: 12
Biggest Gain: +$30 from BAT
Final Profit: $51 total
Return on Investment (ROI): 51%
Even with some losses, the overall experiment was profitable!
Key Lessons from the Challenge
1. Asking the Right Questions Matters
Refining my prompts helped ChatGPT provide better crypto picks. Specificity, like focusing on recent partnerships or tech advancements, made a difference.
2. Market Volatility is Unavoidable
Some picks saw rapid fluctuations, reinforcing the importance of long-term patience rather than reacting emotionally to short-term dips.
3. Trading Fees Can Kill Profits
Using a zero-commission exchange like Binance helped maximize earnings. High trading fees would have eaten into my profits.
4. AI Works Best When Used Strategically
While ChatGPT can provide data-driven suggestions, it’s not foolproof. Human judgment is still essential for risk management and decision-making.
Final Thoughts: Can AI Help in Crypto Trading?
The experiment showed that AI can be useful in spotting lesser-known crypto opportunities. However, success depends on how you use it—good prompts, market understanding, and patience all play a role.
This challenge has encouraged me to continue refining my trading strategy while leveraging AI tools like ChatGPT. If used wisely, AI could be a valuable asset for crypto traders.
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