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Describe trading strategies in plain English and deploy live signal models instantly.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ai.quantifyme/quantifyme" MCP server from askskill: Run: claude mcp add --transport http 'ai-quantifyme-quantifyme' 'https://mcp.quantifyme.ai/mcp'
Create a trading signal model for BTC/USD: go long when the 20-day moving average crosses above the 50-day moving average, exit when it crosses below; add a 2% stop loss and 4% take profit, then deploy it as a live signal.
Returns the parsed strategy logic, key parameters, and a deployed live signal model ready to run.
Build a US equities momentum rotation strategy: each week compare the past 60-day returns of QQQ, SPY, and IWM, buy the best performer; if the top return is negative, stay in cash. Deploy it as a live signal.
Outputs the strategy rules, asset selection logic, and a deployed live rotation signal model.
Configure a crude oil futures strategy in plain English: buy when RSI is below 30, sell when it is above 70; risk no more than 1% of account equity per trade, and enable live signal deployment.
Provides a structured strategy definition, risk control settings, and the corresponding live deployment result.
Turn plain-English strategies into quant research with screening, backtests, and factor analysis.
Research paper-based quant strategies and deterministic decision support for serious traders.
Run quant research, strategy generation, backtests, and paper trading with prompts.
Run quantitative finance analysis, backtests, risk evaluation, and portfolio optimization by chat.
Get live crypto trading signals and strategy analysis for AI agents.
Query strategy leaderboards, backtests, and export Pine scripts for trading analysis.