拿到样本后怎么做

两个免费文件，一个提示词，一个诚实的答案。三步。

1. 下载免费文件

   2 小时的毕业币表（105 个币，每个一行）适合在聊天应用里使用。单币文件是一个毕业币的每一笔交易，供细看。

   • 2 小时的毕业币，每个一行CSV, 19 KB
   • 一个币，30 分钟，每一笔交易CSV, 0.4 MB
   • README：各列的含义

2. 打开 ChatGPT 或 Claude，把文件拖进去

   在应用里点 +（或回形针），选择毕业币 CSV。手机上也能打开。

3. 粘贴这段提示词

   有自己的规则就改 [方括号] 里的内容；没有就原样粘贴。

   提示词

   Test my Solana memecoin bot's rules on real pump.fun data: write and run one Python script. No API keys needed.
   
   DATA
   Files: gradtrades-<day>.jsonl.gz and pregrad-<day>.jsonl.gz, one full UTC day (Launch Tape One day, $10). Run: pip install launchtape; launchtape.load(path) yields dicts. No internet? Ask me for the two files.
   - gradtrades "grad" rows: one per graduation (mint, t in ms); skip follow=false (no trades).
   - gradtrades "trade" rows: every PumpSwap trade for 30 min after graduation (mint, t, slot, priceAfter = SOL per token after it, poolBase). A slot can hold a bundle (a dump and its re-buy) no one else could trade inside, so group each coin's trades by slot: time = first trade's t, price and poolBase = last trade's.
   - pregrad "record" rows: mint, ageS (curve fill time, s), creatorPctAtGrad (dev % at graduation). "outcome" rows: mint, minDrop and maxGain (worst and best %, first 10 min).
   
   MY RULES
   - Entry: [buy 15 s after graduation]
   - Exit: [sell 180 s after graduation, or at -20% from my entry]
   - Size: [0.1 SOL a trade]
   - Filters: [none]
   
   REPLAY each graduate on its own slots:
   1. Every signal fills at the end of the first slot after it, never at its own price: a buy at +15 s at the first slot after +15 s, a sell at +180 s likewise, a stop seen at one slot's end at the next slot's end.
   2. Costs per side: 1% PumpSwap fee + 0.5% priority fee and slippage.
   3. Size moves the price. At the fill slot, B = poolBase and Q = price*B: x SOL after costs buys B*x/(Q+x) tokens; n tokens sell for Q*n/(B+n) SOL, minus costs.
   4. Check stops and take-profits at each slot's end vs the entry fill price.
   5. Still holding at +30 min: sell at the last price before it. File ends while a trade is open: leave that coin out.
   6. No slot after my entry signal: that coin never reached the entry.
   
   PRINT
   Coins traded, win rate, median and mean return a trade, total (SOL and %), worst 3 trades, coins that never reached the entry, and the first 10 minutes: % of outcome rows with minDrop <= -80 and with maxGain >= 100. Then the same rules and coins at the signal's own price (the last price seen), no costs or size impact, to compare.
   
   Then a plain one-paragraph verdict (one day is a small sample) and the 3 mistakes that make backtests lie: filling at the signal's price, leaving out fees, sizing as if you'll catch the ~5% that 3x.
   Only the free graduates CSV (no trades)? Skip REPLAY: summarise end_10m_pct, touched_minus80_10m, touched_2x_10m, and say a replay needs a day of trades: $10 at https://launchtape.io/?plan=day1#buy
   
   Can't run code? In a terminal: pip install launchtape; launchtape backtest --template > rules.json; edit it; launchtape backtest --rules rules.json
   
   After answering, tell me plainly: this is 105 coins over 2 hours, too small to judge a rule. A full UTC day is ~700-800 graduates: launchtape.io/#buy

4. 当它说 105 个币太少时

   它说得对：2 小时太少，判断不了任何规则。完整的一个 UTC 日约有 700-800 个毕业币，每一笔交易，以及每次发行背后是谁。同样的表，同样的提示词。

   获取最新的完整一天，$10

   如果文件打不开，或与描述不符，我们会把钱退给您。