Most people spend more time researching a $50 restaurant than a $50/month signal subscription that influences their trading decisions.
That's backwards. Before you hand over payment details to any signal community, run through this checklist. It takes 10 minutes. It will save you from the majority of bad providers in this space.
The 7-Point Checklist#
✅ 1. Can you see the full signal history — including losses?#
Not a results channel. Not a highlights reel. The actual signal channel, going back at least 90 days, with every signal still visible.
How to check: Ask for access to the signals channel history before subscribing, or request a free trial that includes historical access.
What failure looks like: "We post results in our #wins channel." Curated results channels only show what the provider wants you to see.
Why it matters: If losses are hidden or deleted, win rates are meaningless. A provider who publishes every signal — win or loss — is showing you the real picture.
✅ 2. Does every signal include a stop loss?#
No exceptions. Every legitimate trade signal must define the maximum loss — an entry price without a stop loss is a directional opinion, not a trade setup.
How to check: Scroll through 20–30 recent signals. Count how many include a clearly defined stop loss level.
What failure looks like: "SL to be determined based on price action" or signals that only state an entry and target.
Why it matters: Providers who omit stop losses can't be held to a defined outcome. When the trade fails, there's no documented loss — because no exit was ever specified.
✅ 3. Is the track record third-party verified or self-reported?#
Self-reported performance is easy to manipulate. A provider who controls what gets posted to their results channel controls what their win rate appears to be.
How to check: Ask whether signal outcomes are tracked automatically by a third-party system or compiled manually by the provider. If manually, ask how losses are recorded.
What failure looks like: "Our team tracks all results and posts them every week." That means a human decides what gets published.
Why it matters: Self-reported win rates are routinely inflated through cherry-picking, deleted signals, and retroactive entry adjustments. Automated tracking removes the human from the equation.
✅ 4. What is their sample size?#
A 90% win rate across 10 trades is statistically worthless. You need enough signals to account for variance across different market conditions — trending, ranging, high volatility, low volatility.
How to check: Count the total number of signals in the last 90 days. Anything under 30 is too small to draw conclusions from.
Minimum thresholds:
- 30 signals: very early, treat with caution
- 50 signals: starting to be meaningful
- 100+ signals: enough to see consistent patterns
What failure looks like: A 2-month-old community with 15 signals and a "95% win rate."
Why it matters: Small samples with high win rates are expected purely from variance. Any coin flipped 10 times might come up heads 8 times — that doesn't make it a good coin.
✅ 5. Do they publish average R:R alongside win rate?#
Win rate alone tells you very little. A trader with a 45% win rate and 3:1 R:R is more profitable than a trader with a 75% win rate and 0.5:1 R:R.
How to check: Ask for their average risk/reward ratio across recent signals, not just their win rate.
The math: A 50% win rate with 2:1 R:R means for every $100 risked, expected return is $50. A 75% win rate with 0.5:1 R:R means for every $100 risked, expected return is $12.50. The "worse" win rate is 4× more profitable.
What failure looks like: "Our win rate is 82%!" with no R:R data anywhere.
Why it matters: Providers who only talk about win rate are either not tracking R:R — or they are tracking it and it doesn't look good.
✅ 6. Can you see individual signal outcomes — entry to exit?#
Not a summary. Not a monthly recap. Each signal, from the original post to the final outcome: what was the entry, what was the exit, how did it close.
How to check: Ask for three specific losing trades from the past 60 days. If they can't produce them — or claim there aren't any — that's your answer.
What failure looks like: "Here's our monthly summary: 28 wins, 4 losses, 87% win rate." A summary with no underlying data is unverifiable.
Why it matters: Summaries can be fabricated in a spreadsheet in five minutes. Individual signal records with timestamps are much harder to fake at scale — and unnecessary to fake if you're genuinely performing.
✅ 7. Has the provider been consistent across different market conditions?#
Bull markets make everyone look good. The real test is what happens when markets turn.
How to check: Look at signal performance during drawdown periods — when the broader market was falling or ranging sideways. Does performance collapse, or does the provider adapt?
What failure looks like: A provider who launched in a bull run and has only operated in upward-trending conditions.
Why it matters: Signals that only work in one market regime aren't signals — they're riding momentum. A provider worth following performs across conditions.
Scoring Your Provider#
After running through the checklist, score your provider:
| Score | What it means |
|---|---|
| 7/7 | Rare. This provider has real accountability — worth serious consideration. |
| 5–6/7 | Decent. Identify the gaps and decide if they're dealbreakers. |
| 3–4/7 | Caution. Significant red flags — verify carefully before paying. |
| 0–2/7 | Walk away. You're being asked to trust marketing, not performance. |
In practice, most paid signal communities score 2–4 out of 7. The most common failures are #1 (no full history), #3 (self-reported only), and #5 (no R:R published).
The Question to Ask Before You Pay#
If you only ask one thing, make it this:
"Can you show me every signal you posted in the last 90 days, alongside each outcome — including the losses?"
A provider with nothing to hide will answer immediately. Most won't be able to.
What a 7/7 Provider Looks Like#
A provider who passes every point on this checklist:
- Publishes every signal in a permanent, searchable channel
- Includes stop loss on every entry
- Uses automated or third-party tracking (not self-reported)
- Has 100+ signals across at least 6 months
- Publishes win rate and average R:R
- Shows individual signal records including losses
- Has a track record across both bull and bear conditions
This standard exists. It's just rare.
SignalForge AI was built specifically around these criteria. Every signal posted to our Discord is captured automatically — no human decides what gets recorded. Every trader's profile shows their full history: win rate, R:R, consistency, and every individual signal from entry to exit.