Droopy-Bootie
0x70845b7cf49ad32dd8fb2d01b49e5c244ca39c30
Wallet digest
Activity score
89/100
Performance: thin sample
Open positions
2
Open notional
$317.49
Total PnL
$-0.51
Realised
$0.00
Win rate
n/a
too few closed
Recent activity
- REDEEMWill the price of Bitcoin be above $76,000 on May 13?$65.06May 13, 18:19 UTC
- TRADEBUYWill the price of Bitcoin be above $76,000 on May 13?$65.00May 13, 07:35 UTC
- TRADEBUYWill CZ post 160-179 posts from May 12 to May 19, 2026?$174.01May 13, 07:31 UTC
- TRADEBUYWill Bitcoin reach $150,000 in May?$144.03May 13, 07:30 UTC
- REDEEMWill Baidu have the best AI model at the end of April 2026?$0.00May 13, 07:22 UTC
- REDEEMWill Elon Musk post 260-279 tweets from April 17 to April 24, 2026?$130.25May 13, 07:21 UTC
- REDEEMWill Baidu have the best AI model at the end of April 2026?$265.26May 13, 07:21 UTC
- TRADEBUYWill Baidu have the best AI model at the end of April 2026?$265.00Apr 24, 07:20 UTC
- TRADEBUYWill Elon Musk post 260-279 tweets from April 17 to April 24, 2026?$130.00Apr 24, 07:19 UTC
- REDEEMWill Elon Musk post 240-259 tweets from April 10 to April 17, 2026?$135.67Apr 24, 07:18 UTC
- REDEEMWill Elon Musk post 420-439 tweets from April 10 to April 17, 2026?$150.14Apr 24, 07:18 UTC
- TRADEBUYWill Elon Musk post 420-439 tweets from April 10 to April 17, 2026?$150.00Apr 16, 05:40 UTC
- TRADEBUYWill Elon Musk post 240-259 tweets from April 10 to April 17, 2026?$135.00Apr 16, 05:39 UTC
- REDEEMWill Elon Musk post 280-299 tweets from April 3 to April 10, 2026?$389.11Apr 16, 05:39 UTC
- TRADEBUYWill Elon Musk post 280-299 tweets from April 3 to April 10, 2026?$388.00Apr 10, 12:59 UTC
- REDEEMWill China invade Taiwan by March 31, 2026?$25.35Apr 10, 12:56 UTC
- REDEEMWill OpenAI have the best AI model at the end of March 2026?$30.00Apr 10, 12:56 UTC
- REDEEMWill Ethereum dip to $200 in March?$40.08Apr 10, 12:56 UTC
- REDEEMWill the price of Ethereum be above $2,800 on March 23?$45.04Apr 10, 12:56 UTC
- REDEEMXRP all time high by March 31, 2026?$239.46Apr 10, 12:56 UTC
Profile dimensions
Trade count + how recently they were active. Low = dormant.
How trustworthy the win-rate number is, based on sample size of closed markets.
Share of trades concentrated in their top category.
Share of positions taken while the market was still uncertain (30–70¢) rather than after direction was obvious.
How risky to blindly copy. Higher = riskier — large size, single-position exposure, or thin win-rate sample.
- Trades (all time)
- 26
- Avg trade size
- $132.34
- Top category
- —
- Category concentration
- 0%
- First seen
- Dec 9, 05:03 UTC
- Last active
- May 13, 18:19 UTC
- Win rate sample
- 0 closed
The single Activity score is kept for the leaderboard sort. The five dimensions above are the canonical read — copy-risk bar is inverted so green is always "better for the user".