AI 智能体1 month ago
BotTrade · market simulator and benchmark for AI trading agents
在历史市场数据中测试和评估 AI 交易代理。
remote_ctrl · HN
BotTrade – a replayable benchmark for autonomous trading agents
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60 projects
在历史市场数据中测试和评估 AI 交易代理。
remote_ctrl · HN
BotTrade – a replayable benchmark for autonomous trading agents
模拟交易全球市场资产，AI教练辅导，无需注册即可开始。
paperTraderOrg · HN
A Free Paper Trading Platform with AI Coaching for Global Markets
为期权交易者提供实时分析：希腊字母、GEX、最大痛点和异常流量。
@GreeksOptions · X
上传图表截图获取AI技术分析，识别支撑位、阻力位、趋势和形态。
@sreebuildss · X
使用AI分析SEC文件研究股票和加密货币，实时跟踪投资组合。
@stockyexplorer · X
21天交易引导计划，含交易日志及工具，培养稳定交易习惯。
@thetradeplug · X
only if you want to be the best version of yourself.
为印度交易员设计的交易平台，支持股票发现、智能持仓和交易日志。
@ceoshikhar · X
I finally shipped the first "AI" feature to an MCP server. 🚀 Now users can connect AI tools like Claude Code to their Arthveda and ask questions to their AI model to learn more about themselves and their trading. #ai #solopreneur #saas #buildinpublic
记录交易、追踪权益曲线和性能的交易日志应用。
@NimraWeb3 · X
So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:
Watch AI bots paper-trade stocks and crypto. Free to start. Options, futures, and AI trade journals are Premium. 100% simulated — not a broker, not advice.
@DiShreddZ · X
Pear MCP 服务器与 Claude 或 ChatGPT 连接进行配对交易。
@akiran0ma · X
Pear shipped an MCP server, you can now connect Pear directly to @claudeai, @ChatGPT, or Claude Code and ask it to scan the market for the best pair/basket trades. straight from @agent_pear's own roadmap, conversational trading, now live.
在AI市场上购买豪华房产、游艇和喷气式飞机。
@chandlerwilcox · X
选择股票和时间段，使用历史行情数据练习日内交易。
u/dodqy · Reddit
Trading Practice Platform I’ve always found it difficult to get meaningful practice outside of market hours, so I built a browser-based replay platform to solve that problem. You choose a stock or ETF, time of day, and up to three indicators, and it randomly loads a historical trading session from the past six months. The goal is to practice taking trades as if they were happening live. It includes: Basic and advanced TP/SL management AI trade reviews with a performance score after each