
Basis — Trade on proof
使用历史股票数据回测交易策略。
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
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使用历史股票数据回测交易策略。
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
查看 Bitcoin 底部和顶部风险信号,来自综合技术、链上和情绪指标。
@BDNcontent · X
Every post in my LinkedIn timeline is about one of two things right now: 1) Github is the new necessity for marketers, and 2) Substack integrated Pangram to "combat AI slop." The first one is kind of cool, I made my own Github this week to publish the first tool I vibe coded on my own. The second one is kind of annoying because while some people already know AI detectors are almost useless, some are also hailing Substack as being forward-thinking and righteous for bringing down the big bad AI sloppers. What Substack did boils down to a marketing ploy. The hot trend in advertising/marketing right now is being anti-AI because a lot of people are sick of AI slop, understandably. But Pangram isn't a fix for anything other than the most generic one-prompt outputs, i.e., someone goes to ChatGPT and says "write me a long-form newsletter," and they copy + paste the output. That will obviously be flagged. If someone has a custom project or GPT they trained extensively,