Detect and monitor arbitrage opportunities across prediction markets and exchanges.
npx skills add https://github.com/alsk1992/CloddsBot --skill arbitrage
Please help me install this Agent Skill. Skill: arbitrage Source: https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/arbitrage Command: npx skills add https://github.com/alsk1992/CloddsBot --skill arbitrage
This Skill automates the detection and monitoring of arbitrage opportunities across various prediction markets and exchanges, helping users capitalize on price discrepancies.
Start continuous arbitrage monitoring by typing /arb start.
High-intent search queries and answers about installing and using this skill.
Arbitrage detection across prediction markets is automated by continuously scanning multiple exchanges for real-time price discrepancies. You can start continuous monitoring to find situations where equivalent contracts are priced differently across platforms.
Cross-platform arbitrage monitoring works by comparing real-time price data feeds from various prediction markets and exchanges. It continuously scans for profitable price discrepancies, displaying the spread and profit potential for each detected opportunity.
To start automated arbitrage monitoring, you simply type /arb start. This initiates the continuous scanning process, which will detect and list profitable cross-platform trading opportunities along with their spread data.
Yes, you need API access to supported trading platforms and robust market data feeds to accurately track crypto arbitrage. These connections are required to facilitate automated trading strategies and detect real-time price discrepancies.
Yes, you can automate trading strategies by using the detected price discrepancies across multiple prediction markets and exchanges. The system identifies profitable opportunities, allowing you to capitalize on price differences like buying a contract on one platform and selling it on another.
Automated arbitrage detection relies heavily on the speed and accuracy of your market data feeds and API connections. Without robust real-time data and supported platform access, the accuracy of identifying profitable price discrepancies will be severely limited.
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