Returns curated Aurora AI strategy recommendations for the trading-bot home feed, mixing spot grid, futures grid, martingale, and combo strategies. No parameters needed.
MIT
391,847 tools. Last updated 2026-08-04 21:32
"Features of Grid Trading Strategies" matching MCP tools:
- Returns up to six Aurora-recommended strategies for a given bot type. Use it to browse trading strategies without first selecting a symbol.MIT
- Returns recommended grid trading strategies and market direction for a specific bot type and trading pair, helping users pre-configure bot creation parameters.MIT
- Filter trading strategies by risk tolerance, maximum drawdown, preferred assets, and minimum Sharpe ratio to match your risk profile.MIT
- List available trading strategies. Filter to show only your owned strategies.MIT
- List available trading strategies with live performance data. Shows strategy name, market, total return, drawdown, and recent returns.MIT
Matching MCP Servers
- AlicenseBqualityDmaintenanceProvides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.Last updated31226MIT
- Alicense-qualityAmaintenanceProvides Dev Container Features that install code intelligence (LSP) and repository knowledge search (Orama) MCP servers into any dev container, enabling coding agents to perform go-to-definition, find references, and hybrid search over project files.Last updatedMIT
Matching MCP Connectors
US ISO Grid MCP — real-time electricity generation, fuel mix, demand,
AI-powered trading strategy development: backtesting, market data, and portfolio analysis
- Retrieve all available bot registration options including personas, trading styles, and risk strategies. Required first step before registering a trading bot.MIT
- Assess trading strategies against current market conditions to identify optimal approaches for risk management and performance.MIT
- Create and manage automated trading strategies including DCA, Take Profit, and Stop Loss across 19 blockchain networks to optimize cryptocurrency investments.MIT
- Launch a simulated trading session to test strategies with virtual funds before executing real trades.MIT
- Retrieve a list of all supported trading markets and exchanges, with details on features and compatibility.MIT
- Retrieve details about the current authenticated trading user, including permissions, activated features, and relationship manager information.
- Cancel all open orders for a trading pair to stop a running grid strategy on supported cryptocurrency exchanges.MIT
- Discover available trading strategies for backtesting to identify which ones to analyze and optimize in your algorithmic trading framework.MIT
- Test trading strategies in a simulated environment without real money. Use this tool to validate your approach with specific parameters before executing live trades.MIT
- Retrieve the complete catalog of available DCA bot trading strategies, including configuration options and compatibility details.MIT
- Scan cryptocurrency markets for trading signals using technical strategies to identify potential entry points based on price patterns and indicators.MIT
- Retrieve real-time BUY/SELL signals from quantitative strategies for informed trading decisions, including symbol, quantity, price, and strategy details.
- Calculate and place grid trading orders around current prices to automate market making strategies on supported cryptocurrency exchanges.MIT
- Backtest pairs trading strategies using historical data to evaluate performance and optimize entry/exit parameters for mean reversion approaches.MIT