金融商业1 month ago
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 📊 👉
创建模拟投资组合，进行策略回测和AI市场分析。
策引 — 全球市场技术分析工具，可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能，可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。
Every open-market insider purchase, scored against two decades of backtested history. Free, public, updated daily from SEC EDGAR.
@InsiderxScanner · X
A scanner that searches insider buying activity and tries to separate normal insider transactions from genuine conviction. Every setup gets analyzed, filtered and eventually ranked. The strongest become signals. I'll show you the first one today.
See how software companies actually support their customers through verified public response times, answers, and resolutions.
@TCVarbanov · X
Building ReplyGauge 👇 Making customer support quality public and measurable for software products.
Product leaderboards decided by an adversarial AI jury. Every rank is taken from the product that held it, in a trial with graded evidence and published reasoning.
@oleks_i · X
ReviewedBack is testimonial software that rewards the people who write. Collect reviews, then they get a backlink, badge, social graphic, reciprocal testimonial, and a public Wall
@ReviewedBack · X
用英文描述加密交易策略来回测它们。
@torquant · X
building Torquant. you build and backtest trading/investment strategies using only natural languange
根据已发布的代理标准评判AI产品,包含可检查证据和社区投票。
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.
使用AI回测和研究工具自动化股票交易策略，无需编程。
u/person-person12 · Reddit
The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b
比较不同AI模型对相同提示词的回答，揭露它们隐藏的偏见。
bnfcl · HN
What's AI's go-to, public or private healthcare?
分析开源 GitHub 项目的健康指标、漏洞和质量数据。
Koimiao · V2EX
做了个小工具，可以从各个维度评估一个 GitHub 项目，想请大家拍砖 找开源项目时，我们常常会先看 Star 、README 和最近一次提交。如果你是独立开发者，正在维护自己的开源项目，也想知道怎么让自己项目更健康、被更多人看见，第一步该从哪里做起？ 所以最近我做了一个小项目：TrustOSS http://trustoss.org 输入一个 GitHub 仓库链接，TrustOSS 会把这些公开信号整理成一份可读的仓库健康报告：活跃度、维护情况、社区、文档与成熟度评分；也可以进一步查看漏洞、CI 、真实依赖者、维护者集中度和 Star 异常情况。 想要评估一个开源项目，或者维护自己的开源项目，想知道短板在哪里，都可以直接试试（是免费的！
查看和对比主流AI模型的公众意见和基准评分。
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi