pandaWL ✓

@dajingou1 · United States · joined 23 Nov 2021

美股 × Crypto × 预测市场交易周期，也研究叙事与资金流向分享交易逻辑｜宏观观察｜Web3 Alpha 无聊猿家族：https://t.co/ahQHmIgfu1

101 911Followers

9 129Following

52 138Posts total

1.7MViews on collected posts

Latest posts

pandaWL ✓@dajingou14 Sep

AI Agent 真正的下一步，不是变得更聪明，而是获得“花钱的能力”。现在很多 Agent 已经可以帮你搜索商品、比价、订酒店、调用 API，甚至完成一整套任务。但到了最后一步，经常还是： AI 找到了 → 人来确认 → 人来付款。这意味着 Agent 本质上仍然只是一个“高级助手”。而我最近重点关注的 https://t.co/ZYhZFGD4Rf 12.3K views · 56 likes · 0 reposts · 72 replies Open on X →

pandaWL ✓@dajingou13 Sep

⚽️ 今晚这场西甲，我更偏皇家社会拿下塞尔塔。刚好币安钱包的「足球狂欢交易大赛」上线了，这一场我准备实盘参与一下。先说我的判断：皇家社会虽然新赛季开局不算强，但上一轮已经在主场拿到胜利，状态有回暖迹象； https://t.co/3XWeJ0HTy2 38.2K views · 52 likes · 0 reposts · 98 replies Open on X →

pandaWL ✓@dajingou13 Sep

最近越来越明显：未来交易员真正拉开差距的，可能不是谁更会看 K 线，而是谁能更快完成：信息 → 判断 → 下单。以前看到一条消息，要刷 X、查新闻、看 TradingView、问 AI、再回交易所下单。等这一圈跑完，行情可能已经走完第一波。所以最近我在关注 @midasmarketsxyz。 https://t.co/S8ysHXw1Yt 61.8K views · 194 likes · 6 reposts · 227 replies Open on X →

pandaWL ✓@dajingou12 Sep

很多人第一次接触期权，第一反应是“杠杆更大、赚得更多”，@moonkimbinance and @yayabinance 但我觉得真正有价值的地方其实是：在下单之前，就能把最坏结果先算清楚。买 Call / Put，本质上不是单纯赌涨跌，而是在用一笔确定的权利金，去换一段时间内的不确定性和更大的收益弹性。 https://t.co/bH2L4kjkkX 33K views · 43 likes · 0 reposts · 193 replies Open on X →

pandaWL ✓@dajingou12 Sep

你看中一套房，100 万。钱还没凑够，你也想再观察一个月，于是付了 3 万定金，跟卖家约定：一个月内，我随时可以按 100 万买下它。接下来会发生什么，其实只有四种可能。房价大涨，比如涨到 130 万，你按 100 万买下，扣掉定金净赚 27 万。房价也可能只涨了一点，比如到 101 https://t.co/E8bmppHyEM 118.1K views · 166 likes · 24 reposts · 68 replies Open on X →

pandaWL ✓@dajingou130 Aug

@dajingou1 熊喵老师求个回关 18 views · 1 likes · 0 reposts · 0 replies Open on X →

pandaWL ✓@dajingou126 Aug

@dajingou1 A follow back would really help my Sorsa Score. Thank you! 10 views · 1 likes · 0 reposts · 0 replies Open on X →

pandaWL ✓@dajingou120 Jun

@dajingou1 厉害啊收割华尔街 70 views · 1 likes · 0 reposts · 0 replies Open on X →

pandaWL ✓@dajingou120 Jun

《收割华尔街，10张“20倍”暗牌的底牌拆解”-寻股策略指南》散户在美股做微盘，就像在毫无保护的情况下裸冲高杠杆的合约——满眼都是20倍的贪婪，却看不见头顶悬着的清算热力图。在这个市值不到10亿美金的修罗场里，看市盈率（P/E）和财报纯粹是自欺欺人。 https://t.co/pdf9mKUHXX 1.4M views · 1K likes · 4 reposts · 115 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. shown to more people than peers of the same size.

Median views32 985this account5 983median for 100K–1M

Reach, %32.37%this account1.49%median for 100K–1M

Engagement, %0.71%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	32 985	5 983	5.51×
Reach (views ÷ followers)	32.37%	1.49%	21.7×
Engagement rate	0.71%	0.93%	0.77×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.4M20 Jun

1026 Aug

1830 Aug

118.1K2 Sep

33K

61.8K3 Sep

38.2K

12.3K4 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.09%20 Jun

1.43%

10.00%26 Aug

5.56%30 Aug

0.23%2 Sep

0.72%

0.69%3 Sep

0.39%

1.04%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes50.1%1 514 in total

Reposts1.1%34 in total

Replies25.6%773 in total

Quotes4.2%126 in total

Bookmarks19.0%574 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.