as a trader, one of the most important things you can have is transparency.
no one is right 100% of the time.
own your losses, accept when you got it wrong, and be honest about it.
your community will respect you a lot more for it 🤝
Activity
Tokens tagged by the author per day over the selected time range. The most mentioned tokens have their own color, the rest add up in Other. A post that tags two tokens counts for both.
MENTIONS
ACTIVITY
TOTAL
Token Mentions
Tokens the author tagged in posts over the selected time range, most mentioned first: posts per token, the share of its classified posts that was bullish and the average engagement score of those posts, with price changes, market cap and volume as in the screener, plus price and sector on wide screens.
| 28 | 5 | 20% | 3.7 | $1.03 | -8.75% | -10.70% | 24.12% | $4.7B | $90M | Layer 1 | |
| 7 | 3 | 33% | 3 | $108.57 | -7.04% | -7.51% | 4.08% | $68B | $296M | Layer 1 | |
| 12 | 1 | 100% | 3.2 | $0.083 | -6.96% | -12.36% | -8.81% | $14B | $105M | Meme | |
| 42 | 1 | 100% | 1.6 | $0.005 | -12.93% | -0.96% | 24.22% | $2.9B | $66M | Launchpads | |
| 6 | 1 | 100% | 5 | $1.00 | 0.03% | 0.02% | 0.05% | $74B | $5.1B | Stablecoins |
1–5 of 5 items
Latest Posts
The author's newest posts in the selected time range.
Playboy Playmate farming in New Zealand 🇳🇿 Building generational wealth from a cracked iPhone Parter @rainbetcom 📍 Currently: Singapore 🇸🇬
| Handle: | @playmatejaylene |
| Website: | jaylene.io |
| Joined: | November 2021 |
Author Data
The author's audience and activity. Followers change over the selected time range. Posts and Avg Engagement (the average engagement score per post, as in the feed's Engagement Score sort) cover the selected time range. Engagement Rank ranks the authors who posted in the range by average engagement score. All of the author's posts count: the filter chips do not apply here.
Followers 66K +2.10% (30D)
Following 4.9K
Posts (30D) 156
Avg Engagement (30D) 5.3
Engagement Rank #152 of 1125
Sentiment
Share of the author's classified posts that were bullish, neutral and bearish over the selected time range. Posts without a sentiment classification are not counted. All of the author's posts count: the filter chips do not apply here.