Monitors VaR, volatility regimes, and portfolio drawdown for autonomous trading agents.
npx skills add https://github.com/shreed27/DAIN --skill risk-shreed27
Please help me install this Agent Skill. Skill: risk Source: https://github.com/shreed27/DAIN/tree/main/CloddsBot-main/src/skills/bundled/risk Command: npx skills add https://github.com/shreed27/DAIN --skill risk-shreed27
This Skill provides a comprehensive system for managing and mitigating financial risks in automated trading, preventing catastrophic losses and ensuring operational stability.
Use the risk skill to view the current risk status.
High-intent search queries and answers about installing and using this skill.
Automated circuit breakers for autonomous trading are implemented by continuously monitoring portfolio drawdown and volatility regimes to trigger a kill switch that halts trading when predefined loss limits are exceeded. This unified risk engine manages the validation and control logic automatically.
Volatility regime detection identifies extreme market conditions to protect trading capital by automatically adjusting adaptive position sizing and triggering automated controls. It prevents catastrophic losses by halting or modifying trading activity during highly volatile periods.
Value-at-Risk (VaR) calculation for an automated trading bot is handled by a unified risk engine that tracks real-time portfolio exposure and drawdown. The engine integrates with execution modules to perform pre-trade validation before orders are placed.
Yes, you can use this risk management engine to run stress tests on your trading portfolio. It encompasses stress testing alongside VaR calculation and volatility regime detection to ensure operational stability and mitigate financial risks in automated trading.
Autonomous trading risk management integrates directly with existing safety managers and execution modules rather than requiring a completely separate setup. This integration enables seamless pre-trade validation and post-trade P&L recording within the unified engine.
The best way to prevent catastrophic losses in an AI trading bot is deploying a unified risk engine that enforces daily loss limits, monitors volatility regimes, and activates kill switches. This ensures operational stability and mitigates financial risks automatically.
alsk1992Retrieve real-time and historical market data from prediction market platforms via WebSocket and REST APIs.
IgorGanapolskyMonitor portfolio health and halt trading via circuit breakers.
LeiisawesomeEnforce real-time risk checks on trading orders with RiskVerdict messaging.
nirholasEnforces automated trading risk controls via limits, VaR checks, and stress tests.
