research-and-tradeResearch a token and execute a trade if it passes due diligence. Autonomous research-to-trade pipeline: researches the token, evaluates risk, and only trades if the risk assessment approves. Stops and reports if risk is too high. Use when user wants "research X and buy if it looks good" or "due diligence then trade."
Install via ClawdBot CLI:
clawdbot install wpank/research-and-tradeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://etherscan.io/tx/0x...Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
An individual investor wants to explore a new token like PEPE or ARB before committing funds. This skill automates due diligence, checking liquidity, risks, and pool options, then executes a trade only if the assessment is favorable, saving time and reducing manual errors.
A small fund manager needs to rebalance a portfolio by adding emerging tokens. The skill researches each token, evaluates risks across chains like Ethereum or Base, and executes trades efficiently, ensuring decisions are data-driven and risk-aware without manual coordination.
A venture capital firm assesses newly launched tokens for potential investment. The skill provides a comprehensive report on token metrics and liquidity, with an automatic trade execution if risks are acceptable, streamlining the investment pipeline from research to action.
A developer integrates this skill into a trading bot to handle research and execution autonomously. It uses the risk gating to prevent unsafe trades, making the bot more reliable for high-frequency or algorithmic trading strategies in volatile markets.
A trading education platform uses this skill to demonstrate real-time due diligence processes to students. It shows step-by-step research, risk assessment, and conditional trade execution, helping learners understand safe trading practices in DeFi.
Offer this skill as part of a subscription-based platform for traders and investors. Users pay a monthly fee for access to automated research-to-trade pipelines, with tiered plans based on usage limits or advanced features like multi-chain support.
License the skill to crypto exchanges, wallets, or DeFi protocols as an embedded feature. Partners integrate it into their platforms to enhance user experience, with revenue generated through licensing fees or revenue-sharing from increased transaction volumes.
Provide basic research and trade execution for free to attract users, then upsell premium features such as higher risk tolerance settings, advanced analytics, or priority support. Monetize through one-time purchases or subscription upgrades.
💬 Integration Tip
Ensure users clearly specify the token and trade amount to avoid errors; use the risk tolerance parameter to tailor assessments for conservative or aggressive strategies.
Scored Apr 19, 2026
基于东方财富数据库，支持通过自然语言输入筛选A港美股、基金、债券等多种资产，支持多元指标筛选，含技术面、消息面、基本面及市场情绪等，可用于全球资产速筛、跨市场监控、投资组合构建、策略回测等场景。返回结果包含数据说明及 csv 文件。Natural language screener for investment...
基于东方财富数据库，支持自然语言查询金融数据，覆盖A港美、基金、债券等多种资产，含实时行情、公司信息、估值、财务报表等，可用于投资研究、交易复盘、市场监控、行业分析、信用研究、财报审计、资产配置等场景，适配机构与个人多元需求。返回结果包含数据说明及 xlsx 文件。Natural language query f...
基于东方财富数据库，支持自然语言搜索全网最新公告、研报、财经新闻、交易所动态及官方政策等，覆盖全球市场标的，可用于热点捕捉、舆情监控、研报速览、公告精读及投资决策等场景。Natural language search for financial information, covering authoritativ...
基于东方财富数据库，支持自然语言查询全球宏观经济数据，涵盖国民经济核算、价格指数、货币金融、财政收支、对外贸易、就业民生、产业运行等多个领域，适配各类宏观经济研究、市场分析、政策解读等多元专业场景需求。返回结果包含数据说明及 csv 文件。Natural language query for macroecono...
Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable.
A股量化数据分析工具，基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。