Taylor_🤪
4.1K posts

Taylor_🤪
@NutsJared96950
A Trader. Go Pacers go! #YesCers Boom Baby!!
Katılım Mart 2023
377 Takip Edilen108 Takipçiler

Kaku V0.9 is now available. A fast macOS terminal with great defaults, build for AI Coding. Zero config.
This release has 3 things I really wantd:
• Type # in prompt and describe what you want. Kaku AI truns it into the command
• Option click to jump the cursor anywhere in the command line, like a real editor
• Much less lag after long running sessions. Kaku stays smooth
github.com/tw93/Kaku
English

最近公司发生一件极恶心的事,让我后悔来这家公司了。
我们项目以前的 Makefile 写的很长,逻辑越堆越多,已经没法维护。并且每次 make 都是全量编译,完全不用上增量编译,结果每次 make 都是10几分钟。我实在看不下去就让 CC 用 Python 重写了一版,加了增量编译支持。就这么放了三个月没敢合到主干,一直小圈子内灰度。
结果后来给我下个新需求,要往 Makefile 里加功能,我实在不想维护两套了,就跟领导说这两个版本二选一,实在不行就把 v2 删掉吧。他说别啊,他一直用,感觉增量编译速度很快。我说如果用 v2 就把 v1 删掉,并把 v2 转正。他说转正吧。
我当时的想法是,转正就转正,以后遇到问题,大家会一起改,这是一个共建的东西。结果转正后,这个 Makefile 就成我的专属,所有人遇到问题都来找我,还说:你改的你就负责到底。
我说这个东西是共建的,你给我我也是让 CC 改,这代码我不比你熟悉多少。你有跟我说的功夫给 CC 说早都改完了。
结果人家偏不(因为都不愿意接锅),这就成了我一个人的锅了。
这件事深刻的教育我们,不要打黑工,不要瞎优化,看到项目里的任何熵,在没有上级明确下单让你干之前,不要自作主张的干,干了就是你的,你就负责到底。
中文
Taylor_🤪 retweetledi
Taylor_🤪 retweetledi

重视教育的家长都在收藏,中国教材电子版(中小学),一键下载成PDF,免费的!
tchMaterial-parser,专门从国家中小学智慧教育平台下载电子课本的工具,Python写的,4.8k Star。
你在平台上只能在线预览教材,不给下载。这个工具帮你把它们变成带书签的PDF文件,存到本地随时看。
能干什么👇
📥 批量下载 — 丢一堆教材链接进去,一次全下完
📝 自动命名 — 文件名直接用教材标题,不用手动改
🔖 自动生成书签 — PDF打开就能跳转到具体章节
💾 Token本地存储 — 登录凭证存在本地,不上传云端,隐私安全
三个平台通吃:
1⃣ Windows(x86_64)
2⃣ Linux(x86_64 / Arm64)
3⃣ macOS(Arm64)
Arch用户更简单:`yay -S tchmaterial-parser`
用法:
→ 打开智慧教育平台,找到你要的教材预览页
→ 复制URL丢进工具
→ 点下载,完事
⚠️ 需要注意:Access Token大约7天过期,需要定期刷新。通过浏览器开发者工具获取,工具里有教程。
之前推过的ChinaTextbook项目(66k Star那个),README里就推荐了这个工具作为国内用户的替代方案——直接从官方源拉,比GitHub下载快得多。
MIT开源,17个版本迭代到v3.3.3,一个人在认真维护。
家长给孩子下教材、老师备课找电子版、海外华人想要国内课本——都是刚需。
🔗 github.com/happycola233/t…

鸟哥 | 蓝鸟会🕊️@NFTCPS
中国家长必收藏:有人把中国从小学到大学的课本全开源了! GitHub上的ChinaTextbook项目,把人教版教材从小一到大学全部整理成PDF,免费下载。 覆盖范围👇 📚 小学 — 1-6年级全科,含五四学制版本 📖 初中 — 7-9年级教材 📕 高中 — 全套课程 🎓 大学 — 高等数学、线性代数、离散数学、概率论 🔗 github.com/TapXWorld/Chin…
中文
Taylor_🤪 retweetledi

How to fill your "free time" as a trader:
The majority of success in trading comes from waiting and letting positions work.
So how do I fill my time with things that make me a better trader & investor, without forcing trades?
The full guide...feel free to bookmark + use:
Do Deeper Research:
> what's a stock/theme that everyone's overlooking
> find cases of unusual options, volume, or activity
> study thematic maps + changes over time
> dig into geopolitics
> study history of markets
> positioning, what's crowded vs forgotten?
Education:
Youtube channels:
> @Qullamaggie (swing trading mechanics)
> Harvard Innovation Labs (business acumen)
> Institute of Trading (retail trading)
> @Wordsofrizdom (conversations with traders)
> @tbpn (business acumen + news)
> @DumbMoneyTV (retail + social trends)
> @theallinpod (tech news + vc banter)
Substacks:
~ @agnostoxxx's (good mix of macro, ideas, thoughts)
~ @zastocks's (trading principles, lessons, research)
~ @citrini (all around, thematic deep research)
~ @market_sleuth (experience, vix + data, lessons)
~ others based on your style
X interviewers:
- @MollySOShea's interviews (ceo's, executives, top names)
- @patrick_oshag's interviews (investing + market legends)
- @amitisinvesting's interviews (ceo's, public companies, leaders)
Data dropping favs:
+ @ConnorJBates_ (data, charts, sentiment)
+ @WallStJesus (surveys, price target changes, etc)
+ @KobeissiLetter (deep analysis, news, data)
Books:
= Reminiscences of a Stock Operator (psych + cycles)
= Market Wizards (pattern recognition across styles)
= The Psychology of Money (behavior > strategy)
= Poor Charlie’s Almanack (decision making)
= The Outsiders (capital allocation)
Use "free time" to get smarter on markets, business, and how the game works.
Observing:
> use @finviz_com's (or other) screeners for top gainers/losers, most active, unusual volume, etc.
> what headlines dropped + how did those assets react?
> which names have relative strength consistently?
> what doesn't make sense?
> what's the full picture? equities, bonds, crypto, metals, derivatives...learn how it all correlates.
Producing Content:
- you don't have to be an expert, but share your ideas, thoughts, and research...the amount of alpha I get from you guys is insane.
- can be comments, posts, videos, anything
- but make sure it adds value + something new to the conversation
- you learn 1000x more/faster by teaching
Reviewing performance:
- use some of your "free time" to go back and review the past few months/years.
- what worked? what didn't? why didn't it work? what should I change?
- where did I break my rules?
- average holding period, % performance month by month, etc
- know what makes you tick. find your weaknesses. use data to understand your style
Building + Tools:
+ @perplexity_ai's Computer (best all around imo + deep financial research capabilities)
+ claude, gemini, etc are options too
Build research tools, scanning tools, indicators, journaling tools...just create something that gives you an informational or execution edge.
Physically Leave The Screen:
> go for a walk
> lift weights
> take a nap
> hang out with kids
> drive around
This isn't everything, but it's a start on how to best use your "free time" during, after, or in between trades.
The edge isn’t doing more…it’s doing less, with better information.
♥️Luc
English


@thomps_32 @AlexGoldenNBA He’s really working hard and making a great game
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