How to Evaluate Any Signal Provider

Question 1 — Is the track record auditable?

Can you verify every signal was issued before the price move? A locked timestamp at issuance is the minimum standard. Screenshots, Telegram posts, and "past calls" pages are unverifiable and meaningless.

TradeMind AI locks every signal at issuance with a timestamp and stores the complete history — wins and losses — permanently and publicly.

Question 2 — Are losses visible?

If a provider only posts winners, they are cherry-picking. Any real system has losses. Look for a provider who openly shows stopped-out signals with the same prominence as wins.

Question 3 — What is the sample size?

10 wins in a row is not a track record. It is luck. A meaningful track record requires at least 50 closed signals across different market conditions — bull, bear, and sideways. The more signals, the more statistically reliable the results.

Question 4 — What is the risk/reward per signal?

A 90% win rate is useless if every loss is 10× larger than every win. Ask for the average R-multiple across all closed signals. A positive average R-multiple with a reasonable win rate is the combination that produces long-term profitability.

Question 5 — Can you reproduce the methodology?

Legitimate signal providers explain how their signals are generated. If the methodology is a black box with "proprietary AI" as the only explanation, you cannot know if the edge is real or luck.

TradeMind AI publishes its methodology page explaining exactly what inputs the AI uses, how stops and targets are calculated, and how signals are resolved.