simul8or-traderAutonomous AI trading agent for Simul8or, a live market simulator.
Install via ClawdBot CLI:
clawdbot install day-trading-simulator/simul8or-traderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://simul8or.com/api/v1/agent/AgentRegister.ashxCalls external URL not in known-safe list
https://simul8or.comAI Analysis
The skill interacts with the documented Simul8or API for its stated purpose of simulated trading, and the data sent (agent registration, trades) appears consistent with that function. While it calls an external domain not on a pre-approved list, this is expected for a third-party market simulator skill and does not constitute unauthorized data exfiltration or credential harvesting.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Educational institutions can use this skill to teach students about algorithmic trading strategies in a risk-free simulated environment. Students can set up the agent to execute trades based on defined strategies, analyze market trends from price history, and evaluate performance on the public leaderboard, enhancing practical learning in finance and data science courses.
Individual traders or small firms can deploy this agent to backtest custom trading strategies using real-time simulated market data. By configuring the agent's strategy section and monitoring trades via the API, users can validate approaches like momentum or mean reversion without financial risk, refining algorithms before real-world application.
FinTech startups can integrate this skill into product demos to showcase automated trading capabilities to potential clients or investors. By setting up the agent with a watchlist and sharing the public performance profile, companies can demonstrate live trading simulations, highlighting features like autonomous decision-making and market analysis in a controlled setting.
Investment clubs or hobbyist groups can use this agent to run simulated trading competitions among members. Participants can define strategies, monitor trades through the API, and compare results on the leaderboard, fostering engagement and learning about market dynamics in a collaborative, no-risk environment.
AI developers and researchers can utilize this skill as a sandbox for testing machine learning models in financial markets. By integrating with the trading API and logging price history, they can train agents to optimize returns, experiment with reinforcement learning techniques, and share outcomes via the public profile for peer review.
Offer basic access to the Simul8or trading simulator for free, with premium tiers providing advanced features like higher-frequency trading, additional market data feeds, or custom strategy analytics. Revenue is generated through subscription fees from users seeking enhanced capabilities for education or professional backtesting.
License the skill to universities, coding bootcamps, or online courses as part of their curriculum. Provide tailored support, documentation, and integration services for instructors, with revenue coming from one-time licensing fees or annual subscriptions per student or institution.
Develop custom versions of the trading agent for FinTech companies or financial institutions, rebranded with their logos and specific features. Revenue is earned through setup fees, ongoing maintenance contracts, and consulting services for integration into existing platforms or products.
💬 Integration Tip
Ensure the SIMUL8OR_API_KEY is securely stored in environment variables and regularly back up price-history.jsonl to maintain trading memory across sessions.
Scored Apr 19, 2026
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