??? Solana ??? Raydium???Orca ??? Meteora ???

??? 30 ??? $2M ???

??? (Smart Money)??? (FIFO) ?????????

???

???

how a top-trader list is selected after the factA ranking pipeline starts from leaderboard accounts, removes vaults, keeps accounts that pass activity and size filters, then ranks the rest by profit over the previous 30 days and keeps the top 100. The list is chosen using results that already happened, so a fair check measures what tracked accounts do after they were selected.SELECTION USES THE PAST · EVALUATION SHOULD USE WHAT COMES AFTERLeaderboardall accountsDrop vaultspooled accountsActivity filtersvolume · size · turnoverRank by 30d PnLpast resultsTop 100re-ranked often30 days used to choose the listafter selection: +1h · +24h · +7dselectedA list built from winners will look good over the window that built it
A ranking pipeline starts from leaderboard accounts, removes vaults, keeps accounts that pass activity and size filters, then ranks the rest by profit over the previous 30 days and keeps the top 100. The list is chosen using results that already happened, so a fair check measures what tracked accounts do after they were selected. 教学说明图 · 非实时市场数据

???

  1. ??? 30 ??? Solana ???
  2. ??? $50,000 ???
  3. ??? 30 ???
  4. ??? 100 ???

??? 80% ??? 4.0??? 100,000 ??? 8 ???

?????????+24h???+7d???+30d???

???

???SuperQuant ???

??? ??? ???
??? / ??? ??? ???
??? ??? (AMM) ??? ??? AMM ???
??? ??? ???
??? ??? 3 ??? ???

???

??? (FIFO) ???

??? Solana ???SuperQuant ??? (FIFO) ???

  1. ??? ??? USD ???
  2. ??? ???
  3. ??? PnL ??? <code>Realized PnL = (Exit Price ??? Lot Cost Basis) ?? Lot Quantity ??? Network Fees</code>???
  4. ??? Priority Fee ??? ??? Jito MEV ??? Priority Fee???

??? Solana ?????? PnL ??????

???

??? 10 ??? 7 ???

how sample size changes the uncertainty around a hit rateThree fictional records with the same 58 percent hit rate. With 7 hits in 12 entries the 95 percent Wilson interval runs from about 32 to 81 percent; with 29 in 50 it runs from about 44 to 71 percent; with 116 in 200 it runs from about 51 to 65 percent. Only the largest sample excludes 50 percent, and only just.SAME 58% HIT RATE · DIFFERENT AMOUNTS OF EVIDENCE0%25%50%75%100%50% · a coin flip7 of 1232–81%29 of 5044–71%116 of 20051–65%Bars are 95% Wilson intervals · compare with the coin's own base rate, which is rarely exactly 50%
Three fictional records with the same 58 percent hit rate. With 7 hits in 12 entries the 95 percent Wilson interval runs from about 32 to 81 percent; with 29 in 50 it runs from about 44 to 71 percent; with 116 in 200 it runs from about 51 to 65 percent. Only the largest sample excludes 50 percent, and only just. 教学说明图 · 非实时市场数据

??? 95% ??? Wilson ???

  • 12 ??? 7 ???58% ??? 95% ??? 32% ??? 81%???
  • 50 ??? 29 ???58% ??? 95% ??? 44% ??? 71%???
  • 200 ??? 116 ???58% ??? 95% ??? 51% ??? 65%???
account count ratio versus top trader notional position ratioVisual comparison showing how 70% of retail accounts by head-count can be net long while 65% of top-trader capital by dollar notional is net short. ACCOUNT RATIO (EQUAL HEAD-COUNT WEIGHT) Every account = 1 vote regardless of position size 70% Long Accounts 30% Short L/S Account Ratio = 70 ÷ 30 = 2.33 7,000 retail accounts × $2,000 avg = $14M Long High head-count · dispersed small collateral TOP TRADER POSITION RATIO (DOLLAR WEIGHT) Weighted by actual open notional value ($ USD) 35% Long 65% Short Notional L/S Notional Ratio = 35 ÷ 65 = 0.54 50 large desks × $900,000 avg = $45M Short Concentrated institutional capital absorbs retail longs Always separate head-count sentiment from capital-weighted notional exposure when reading exchange ratios
Visual comparison showing how 70% of retail accounts by head-count can be net long while 65% of top-trader capital by dollar notional is net short. 教学示意图 · 非实时市场数据

???

???

Solana ??? DEX ??? Solana ??? Hyperliquid ???

??? SuperQuant ??? ?????????

???