@tradinglessons101: statistics and cleanliness index
TRADING TIPS
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data from 2026-10-17
- Subscribers
- 3,868
- Median views
- 1,330
- ERR
- 34.4%
- Posts sampled
- 40
Data from 2026-10-17 — 21 days old.
Assessment summary
Educational Forex channel in English: term cards, breakdowns of timeframes, risk management and trader psychology, plus a daily “Learn Forex” series. The channel has been running for almost six years, but posts rarely — about 0.3 posts per day, and the last publication was 13 days ago.
A noticeably larger share of subscribers sees a post than in similar catalog channels: ERR 34.4% vs. the median 11.9%, and over the month the median views grew from 983 to 1330. At the same time, views are almost the same across all posts, and there were no ad posts in the sample at all — there is no basis for evaluating ad reach yet.
About the channel
Channel about Forex trading education in English: short cards and infographics breaking down terms, timeframes, risk management and trader psychology. The feed has been running for almost six years, almost all posts are photos with captions, and there is a daily educational “Learn Forex” series.
In the catalog, next to it are @tellytraders and @protradingtips1 — also channels with trading tips, but larger by subscriber count. A larger share of subscribers sees a post here than at @tellytraders and @protradingtips1.
What it publishes:
- Educational cards: breakdowns of indicators, trading sessions and basic concepts such as pips and liquidity.
- “Learn Forex” series: daily installments with step-by-step topic breakdowns.
- Psychology and discipline: comparisons of the “rich and poor trader” and risk management rules.
- Collections: lists of films and books about trading, apps and tools for Forex.
Posts are published mainly in the morning and afternoon UTC, roughly equally on weekdays and weekends. There are no reposts from other channels in the sample, and no ads either. They post rarely and briefly: these are notes and cards for self-study, not a news stream.
By subscribers, it ranks #20 of 26 channels in the Trading niche of the catalog.
What grade A+ means
The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.
Compared with similar channels
Compared with 7 Trading catalog channels whose metrics look normal. They are a similar size: 2,709 to 10,668 subscribers.
This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.
Compare with another channel
Dynamics and anomalies
Scroll horizontally to see the full charts.
Views by post
The latest 40 posts with views, from May 5 to Oct 4. The dashed line is the median (1,330).
- post views
- median 1,330
Maximum: 1,738 views. Data as of Oct 17.
What could not be calculated
View build-up not assessed: there were no posts newer than one day.
Cleanliness-index history
2 checks for this channel.
Advertising outlook
Advertising placement: reasonable.
About 516 people will see your post in the first 48 hours.
Few recent posts, so this is a rough forecast.
Reach of advertising posts
Too few advertising posts to compare: 1.
Without an ad label: 1 post.
Buy advertising
Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.
We don't sell ads. This channel may not be listed there.
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Questions about @tradinglessons101
What deviations were found for @tradinglessons101?
The purity index is 100 out of 100, grade A+, level “metrics are normal.” The check found no signals that lower the index.
What share of subscribers sees the channel’s posts?
ERR is about 34.4%: median views 1330 with 3868 subscribers. This is higher than for most similar catalog channels.
Can ads be placed here?
Advertising placement is marked as justified. There were no ad posts in the sample, so ad reach was not calculated separately.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-17
- Sample
- The latest 40 public posts available at check time.
- Calculation method
- TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
- Factual result
- The @tradinglessons101 assessment dated 2026-10-17 uses 40 recent public posts. At that snapshot the channel had 3,868 subscribers, median post views were 1,330, ERR was 34.4%, and the cleanliness index was 100/100.
- Limitations
- This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.
This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/obsessed_with_ai.