The first task I set for myself was to gather a list of signal groups I’d like to audit and choose three to start with.
⚠️ Just to be clear – I’m not recommending any of these groups or believing in their effectiveness. In fact, their “effectiveness” is the topic of the product I’m currently working on.
đź“š Research Mode: ChatGPT & Perplexity in Action
To collect the list of groups, I used LLMs: ChatGPT and Perplexity.
Select 20 crypto trading signal sources. Choose the most popular.
Rules:
- ALWAYS consider groups with a large number of members as popular, both free and paid
- For each group, if the information is available:
- ALWAYS include how the trading signals are delivered (e.g., Telegram group, email, Signal, Discord, website, or something else)
- If possible, include the price of the signal group
- If possible, include the number of members in the signal group
- If possible, find out whether the signals are free, paid, or both
- ALWAYS exclude non-English-speaking groups
If you’re interested in the details, the responses I received are linked below:
These are the results from Deep Research mode – Perplexity turned out to be much faster. Interestingly, both lists were quite similar.
🔎 Investigating Signal Groups: The Chosen Few
Below, you’ll find the prompt I used for validation and the list of groups I finally selected:
- binancekillers
- FedRussianInsiders
- binancesignals
- wolfoftrading
- cryptoinnercircle
- wolfxsignals_free
- wallstreetqueenofficial
- learn2tradenews
- whalepumpgroup23
- altsignals
- cryptosignals0rg
- coincodecap
- fatpigsignals
