INDIVIDUAL MCP TOOL
run_futures_backtest
Backtest an SMA timing strategy using index futures (ES/NQ) at a chosen target leverage, with optional leverage cap, quarterly rolls, per-contract fees, and cash-sweep interest.
LIVE ENDPOINT
https://l-etf.com/mcp
Connect to this endpoint to inspect the live schema for run_futures_backtest and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.l-etf]
url = "https://l-etf.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"l-etf": {
"type": "http",
"url": "https://l-etf.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: l-etf
Remote MCP URL: https://l-etf.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"l-etf": {
"url": "https://l-etf.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"l-etf": {
"type": "http",
"url": "https://l-etf.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "l-etf",
"transport": "streamable-http",
"url": "https://l-etf.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
list_presets— List the leveraged-ETF presets, risk-off assets, and default SMA settings available to the other l-etf tools.get_market_data— Fetch raw market data over a date range: index total-return prices (`prices`, requires `index`), LETF borrowing rates (`borrowRates`), or CPI inflation (`inflation`).get_sma_signals— Compute the current SMA timing signal (buy/sell/hold) for the S&P 500 and Nasdaq-100 using the given SMA periods and buffers.get_sma_calibration— Return the precomputed best SMA period/buffer per index from the latest offline calibration run.run_backtest— Backtest a simulated leveraged-ETF strategy over a date range and return CAGR, max drawdown, Sharpe, final multiple, trade log, and a 1x benchmark.compare_backtests— Backtest several presets over ONE shared date range and compare their metrics.run_rolling_window_analysis— Evaluate one leveraged-ETF strategy across every historical rolling window of `windowLength` years and return the outcome distribution: average/best/worst return, average and worst drawdown, and win rate.run_holding_period_analysis— Show how a strategy's outcome distribution (avg return, win rate, drawdown) changes with the holding period, by running the rolling-window analysis at several window lengths (years).