American Оbserver
@american_observer · Post #5370 · 03/13/2026, 08:02 PM
#fertilizers#cost#trump 📱American Оbserver - Stay up to date on all important events 🇺🇸
Hashtags
TGTGInsighttelegram intelligenceLIVE / telegram public index
TGINSIGHT SIMILAR POSTS
Find similar content
Source channel @githubtrending · Post #14867 · Jun 26
#python#mootdx#pytdx#tdx#tdxpy mootdx is a free, open-source Python tool that helps you easily read and use stock market data from Tongdaxin on Windows, MacOS, and Linux. It supports Python 3.8+ and can read offline daily, minute, and timeline stock data, as well as online real-time market quotes and financial files. You can install it simply with pip and use it to get detailed stock info for analysis or trading. This saves you time and effort by providing a ready-made, flexible way to access and work with Chinese stock market data in Python. It’s great for learning, research, and personal projects but not for commercial use[1][4]. https://github.com/mootdx/mootdx
Results
4 similar posts found
Search: #cost
当前筛选 #cost清除筛选
探索号
@seeker_rc · Post #20402 · 05/13/2026, 02:55 AM
凌晨三点,我的 AI Agent 重试了一万四千次 —— 然后我写了个开源刹车 两个月前一个凌晨,Agent 卡在重试循环里,把一个月的额度跑没了。Provider 后台只告诉我"发生了什么",我需要的是"正在发生时就停下来"。 于是写了 Cost Firewall:OpenClaw 网关的本地插件,实时监控调用元数据,在重试循环 / Token 风暴 / 调用洪水 / 预算超限 四种场景下自动熔断,还有一行命令的急停: openclaw firewall stop 特意做了两件事: 1. 默认 observe 模式只观察不拦,让你看清自己的真实流量再切 protect 。 2. 不存 prompt 、不上报遥测、不需要 Mapi... via V2EX 分享创造 标签: #Agent#Cost#Firewall ⚡️探索号频道 ⚡️探索者频道 ⚡️探索者交流群 ⚡️ Youtube 频道：科技探索者 每天推荐有趣内容，欢迎订阅、转发。
Environment & Climate Change
@Enviro_Climate · Post #311 · 11/24/2020, 07:32 PM
Climate Change and the #Cost of #Capital in #Developing_Countries Source: Imperial College Business School Read more »» @Enviro_Climate
GitHub Trends
@githubtrending · Post #14992 · 07/23/2025, 01:00 PM
#go#aws#azure#cncf#cost#cost_optimization#finops#gcp#k8s#kubernetes#monitoring#opencost#prometheus OpenCost is a free, open-source tool that helps you see and understand the costs of running Kubernetes clusters and cloud services in real time. It breaks down costs by cluster, node, namespace, pod, and more, across multiple cloud providers like AWS, Azure, and GCP, and even supports on-premises setups. This lets you track where your money is going, spot expensive resources, and manage your cloud spending better. It integrates with Prometheus for metrics and offers a user-friendly web interface and APIs for easy cost monitoring and exporting. Using OpenCost helps you control and optimize your cloud and Kubernetes expenses efficiently[1][2][3][4]. https://github.com/opencost/opencost