与「MC」相关的搜索结果

Seni $CASHCAT alman için yalvardım - 700x yaptı Seni $ANSEM alman için yalvardım - 1600x yaptı Seni $HEAVYPULP alman için yalvardım - 2500x yaptı Seni $PUNCH alman için yalvardım - 2000x yaptı Seni $CHIBI alman için yalvardım - 800X yaptı Hepsini 100K MC'nin altında çağırdım Eğer bu coinlere 100$ yatırsaydın 1.7M kâr yapardın Az önce 100 - 5000x potansiyelli başka bir düşük kapak meme buldum Şu anda 49k piyasa değeriyle işlem görüyor Bu postu beğenen ve retweet edenlere CA'yı göndereceğim

在闲鱼498一次！！！ 可以 结束给 结束给 谁要我的闲鱼账号。 😊

这个 Grok Bot 跑出来的收益，确实有点夸张 我让 Grok Bot 的全自动交易终端运行了一整晚，期间持续自主执行交易。初始本金只有 69.67 美元，睡醒后账户余额已经达到 13,370 美元 整个过程我没有手动干预过任何一笔订单 只需要充值、启动自动交易，后续的机会筛选、进场时机、仓位管理，以及按照预设风控执行止盈止损，都交给机器人完成 我把这套 AI 自动交易系统涉及的 GitHub 开源工具整理成了下面这份清单： 1. Cryptofeed 实时获取各大交易所的成交、价格和盘口数据，为策略扫描提供行情输入 2. CCXT 统一交易所 API 接口，一套代码即可连接多个平台，完成行情查询、资产读取和订单执行 3. Freqtrade 量化交易的核心框架，支持策略回测、模拟交易、仓位监控，并提供可视化管理后台 4. VectorBT 利用历史行情测试不同的开仓和平仓策略，评估收益表现与最大回撤 5. TA-Lib Python 计算常见技术指标，从行情中提取 RSI、MACD、移动平均线等交易信号 6. skfolio 优化投资组合，根据资产权重、换手率和交易成本，辅助制定仓位配置 7. QuantStats 自动分析交易绩效，生成报告，直观呈现胜率、回撤和波动率等指标 8. DuckDB 轻量级数据库，用于保存盘口快照、订单和交易记录，方便后续分析与复盘 9. APScheduler 定时任务调度工具，可自动更新行情、检查账户状态，并按计划生成每日交易报告 10. Lightweight Charts 提供终端 K 线可视化，实时展示行情走势和策略执行的交易标记 这些组件可以通过脚本、API 和 MCP 协议连接起来，组成一套协同工作的自动化交易系统 不过，真正准备接入实盘时，有几条规则不能忽略： 独立管理下单权限，严格限制最大持仓和单日亏损 遇到状态不明确的订单，先核实执行结果，再决定是否重试 策略上线前，先在模拟盘完整运行一个周期 每日复盘必须区分已实现盈利、未平仓头寸、手续费、失败订单和账户资金变化，确保每笔资金流向都有记录 AI 自动交易的价值，不只是让机器人替你下单，而是把行情扫描、策略判断、风险控制和交易复盘串成一套自动化流程

老铁，别再掏大几千块去买交易软件和行情终端了！ 这一周 GitHub 上「金融 + AI」涨星最快的 10 个开源项目，我已经替你梳理完毕，全部免费！ 💡 预测与研判 · Kronos（+2653★）：专注 K 线分析的开源模型，以 45+ 交易所的数据训练而成，输入历史价格便能预测后续几根 K 线 · daily_stock_analysis（+487★）：由大模型每日分析美股、A 股、港股，决策看板推送到 Telegram / Discord / 邮箱 🤖 交易 Agent · TradingAgents（+1944★）：多 Agent 交易框架，分析师、研究员、交易员、风控团队先吵上一架再下单，总星数 11.3 万 · Vibe-Trading（+821★）：港大 HKUDS 出品，用大白话描述思路，就能起草策略、跑回测，支持 MCP · day-trader-skill（+972★）：11 个 Claude 技能，覆盖扫盘、新闻、进场和止损，还能把一个交易时段重放 1 万次，默认模拟盘 🪙 币圈重点 · freqtrade（+360★）：老牌开源加密交易机器人，自带 FreqAI 机器学习、回测和 Telegram 控制，已支持 Hyperliquid 🔍 投研工具 · last30days-skill（+730★）：跨 Reddit、X、YouTube、HN、Polymarket 做调研，按点赞和真金白银的下注热度排序 · OpenBB（+294★）：给分析师和 AI Agent 用的开放数据平台，股票、期权、加密、宏观都有，带 MCP · FinceptTerminal（+412★）：开源版「彭博终端」，行情、研究、AI Agent 集成在一个桌面端 · tick-stock-panel（+346★）：A 股自托管量化工作台，用大模型写策略、回测、盯盘，65 个接口加 MCP AI 正把机构级投研工具一路拉到散户的桌面上。工具在走向平权，但真正拉开差距的，依旧是你的判断和风控。 建议先收藏，下次做研究直接拿出来用。

Chrome DevTools 官方下场了：出了 MCP，让编码 agent 直接操控浏览器调试。以前 agent 只能靠截图猜，现在能拿到真实的 DOM、网络请求和控制台。这个仓库已经在 GitHub trending 上。

学 Agent 开发的时候，最头疼的往往不是概念，而是找不到能直接跑通的完整示例。 NirDiamant/GenAI_Agents 这个仓库就攒了一大批实战教程，范围从最简单的对话机器人一直铺到多智能体协作这种复杂系统，每一份都附有全量代码和讲解说明。 内容既包括入门级的对话问答，也讲了 LangGraph、MCP 这些框架怎么用；商业侧有客服、简历筛选、合同分析等落地案例，创意生成和信息分析方向同样有所覆盖。 市面上常见的 Agent 应用类型，基本上都能在这里找到可参照的实现。 除此之外，还有一套从提示工程讲到生产部署的课程，拆成 17 个模块，配了视频和练习题，带你从结构化提示一步步搭出真正能跑的系统。 无论是想系统学习，还是找参考实现，都挺合适。 仓库地址：

Be Jensen: > Asian American Dishwasher at Dennys > Founded $NVDA and pioneered GPU computing > Took an extraordinary gamble in CUDA, despite the company close to bankruptcy risk. > Bet paid off heavily, and Nvidia was there as the infrastructure for deep learning and generative AI. > Spent last 33 years of his life growing $NVDA, and finally saw it become a $5T+ company > Devoted his life to establishing American AI leadership > Started having more influence on policies that Washington conflicted with > Leaks and hit pieces happen all at once around midterms > Washington tries to push out others like Lutnick that shared similar China stances to Jensen. > Forced to resign by Taco Bell and NFL experience board members over unconfirmed Spy accusations + personal relationships. > Huang's leadership then questioned by politicians that ask how $META makes money or how Wifi works. > Slandered by US media that think because Mcdonalds did well under a CEO change, so can American semiconductors like $NVDA. This feels like a horrible joke. Jensen Huang was the pinnacle of visionary tech CEOs and living the American dream. Ousting Jensen Huang will go down as one of most consequential and darkest decisions in recent US history.

YOUR AI ASSISTANT CAN NOW FIND ANYONE'S EMAIL AND PHONE NUMBER wiza plugged 800M+ contacts into grok, claude, chatgpt and any mcp client the best b2b contact data for sales and marketing - now one prompt away you type who you need, it comes back with names, work emails and phone numbers here's how to put wiza mcp into a real workflow: > find new leads "find vps of sales at us software companies with 51-200 employees" your icp turns into a list of real people > map the account "get company info for [company], then find its sales leaders" you know the whole buying committee before the first call > enrich before you reach out "find the work email and phone number for [name] at [company]" no more jumping between linkedin and 5 tabs > source candidates "find senior backend engineers in seattle with available work emails" a recruiting pipeline without a sourcing agency > build a marketing list "save these prospects as conference follow-up and find their work emails" wiza saves the list and finds the emails in the background > chain it search companies, find the decision makers, enrich them, save the list one conversation instead of an afternoon of manual research setup: 1. add to your ai assistant 2. sign in with your wiza account 3. ask for what you need building your own tools? the same data is in the wiza api start here ↓