polymarket-bundle-dota2-bo3-traderTrades structural inconsistencies between Dota 2 BO3 winner, individual game winners, and game handicap markets on Polymarket. P(BO3 win) must equal f(P(Game...
Install via ClawdBot CLI:
clawdbot install diagnostikon/polymarket-bundle-dota2-bo3-traderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://pypi.org/project/simmer-sdk/Audited Apr 17, 2026 · audit v1.0
Generated May 12, 2026
Run the trader skill as an automated cron job to scan Dota 2 BO3 matches on Polymarket and execute trades on detected structural inconsistencies. This provides a passive income stream by exploiting mispriced markets without manual intervention, requiring only occasional monitoring.
Combine the skill with OpenDota or PandaScore APIs to incorporate Elo ratings, draft data, or live match feeds. This allows the agent to adjust trade sizes based on additional edge beyond structural consistency, improving win rates and profitability.
Use the skill to provide liquidity on related Dota 2 markets by quoting both sides when consistency divergences are small, pocketing the spread. This works well in high-volume matches and can be integrated with automated order book management.
Offer a service that hedges large positional bets on individual game winners by taking the opposite side in the BO3 or handicap markets when inconsistencies appear. This reduces risk for professional bettors while providing a fee-based revenue stream.
Use the paper trading mode to demonstrate how mathematical constraints in prediction markets create arbitrage opportunities. This can be integrated into finance or esports analytics courses, allowing students to experiment without financial risk.
Provide the detected inconsistencies as a data feed to traders who lack the technical ability to run the bot themselves. Users pay a monthly fee to receive alerts and trade recommendations for Dota 2 BO3 matches.
Pool capital from investors to run the trader skill at scale, distributing profits (minus a management fee) back to participants. This allows the bot to take larger positions and smooth returns.
Develop a cloud-based platform where users connect their Polymarket API keys and configure risk parameters via a UI. The platform runs the skill and provides dashboards for performance tracking, charging a markup on trades or a flat monthly fee.
💬 Integration Tip
To get started, set up a Python environment with the required dependencies and configure the SIMMER_API_KEY. The skill defaults to paper trading; ensure you test thoroughly with sim mode before enabling live trading with the --live flag.
Scored May 12, 2026
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。
Query and trade on Polymarket prediction markets — check odds, trending markets, search events, view order books, place trades, and manage positions. Now ava...
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
财务分析 CLI 技能 - 财报分析、股票估值、风险评估