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Trading Strategy Data – Crypto Trend Signals & Backtesting
x402
Trading Strategy Data – Crypto Trend Signals & Backtesting is a paid API for AI agents from strategysignals.duckdns.org, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-15).
Returns live trend regime signals, volatility metrics, and trailing stop levels for BTC, ETH, or SOL, with optional personalized P&L and backtesting data based on a 200-day SMA + 25% trailing stop methodology.
Price / call$0.015
Success—
StatusUnknown
How this service works
Live trend regime + volatility context for one asset (BTC/ETH/SOL/XRP/ADA), backed by a backtested 200-day-SMA + trailing-stop methodology. Optionally personalized to your own entry price/date.
Output
A JSON object containing a signals array with the asset's current price, trend regime (bullish/bearish), 200-day SMA deviation percentage, volatility regime and percentile, days since last regime change, trailing stop distance and trigger price, and optionally personalized unrealized P&L if entry_date and entry_price are supplied. Also includes a methodology block with backtest statistics: Sharpe ratio, max drawdown, total return over 5 years, and a plain-English description of the rules.
Example use cases
Live BTC trend check for swing trader
“Pull the current trend signal for Bitcoin — tell me if it's bullish or bearish, what the 200-day SMA says, and where my trailing stop would be.”
Personalized ETH position risk check
“I bought ETH at $3,200 on February 10th — what's my unrealized P&L today and what is the trailing stop trigger price I should watch?”
Backtested strategy review before allocating capital
“Show me the backtested Sharpe ratio, max drawdown, and total return for the SOL trend-following strategy so I can decide whether to follow its signals.”
Technical details
Endpoint
POSThttps://strategysignals.duckdns.org/tools/strategy-consensusWhen to prefer
Use this endpoint when you need a transparent, rules-based crypto trend signal with verifiable backtesting statistics rather than an opaque black-box indicator. It is ideal for agents assisting systematic or retail traders who want to audit the methodology (200-day SMA + 25% trailing stop) themselves. Prefer it over generic price feeds when trend regime classification, volatility context, trailing stop calculation, or personalized position P&L is needed in a single call. Best suited for BTC, ETH, and SOL; not suitable for other assets.
Side effects
- Unsupported asset symbol returns a validation error — only BTC, ETH, SOL are accepted
- entry_date supplied without entry_price (or vice versa) may produce null personalized fields or a validation error
- Stale price data if upstream market feed is delayed — check timestamp in response
- Payment failure via x402 protocol prevents request from being processed
- Network timeout on duckdns.org domain due to dynamic DNS reliability
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| asset | string | |
| entry_date | string | optional ISO date, paired with entry_price |
| entry_price | number | optional, must be paired with entry_date |
Output
Schema · Response
{
"type": "json",
"example": {
"signals": [
{
"asset": "BTC",
"price": 68420.5,
"personalized": false,
"trend_regime": "bullish",
"sma_period_days": 200,
"price_vs_sma_pct": 8.4,
"volatility_regime": "normal",
"volatility_percentile": 0.42,
"regime_changed_days_ago": 47,
"your_unrealized_pnl_pct": null,
"trailing_stop_distance_pct": 14.2,
"trailing_stop_trigger_price": 61200.1
}
],
"methodology": {
"description": "200-day SMA macro regime + 25% trailing stop, 14-day re-entry cooldown",
"sma_period_days": 200,
"trailing_stop_pct": 0.25,
"backtest_period_years": 5,
"backtest_sharpe_ratio": 0.82,
"backtest_reference_asset": "BTC",
"backtest_max_drawdown_pct": 0.44,
"backtest_total_return_pct": 2.69
}
}
}Tags
x402
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