TASignal Backtest is a paid API for AI agents from tasignal.agentgate.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-30).
Runs rule-based strategy backtests (SMA/EMA cross, RSI reversion, Donchian breakout, MACD cross) on crypto assets using historical candle data, returning trade list, equity curve, and performance metrics.
Technical analysis, risk analytics and backtests for trading agents in one x402 API: RSI, MACD, EMA 20/50/200, Bollinger Bands, ATR, ADX, stochastic, realized volatility and a descriptive technical bias score for any crypto asset on 15m/1h/4h/1d candles; historical VaR/CVaR, max drawdown, Sharpe/Sortino and ATR-based position sizing; and rule backtests (SMA/EMA cross, RSI reversion, Donchian breakout, MACD cross) with fees, next-open fills, trade list and equity curve. Candles from Hyperliquid with dYdX v4 fallback. Read-only analytics; free preview and remote MCP. Not financial advice. Not financial advice. Past performance does not guarantee future results. Technical indicators, risk metrics and backtests describe historical prices only; they are not predictions or trade recommendations. TASignal never trades, holds funds or keys.
Returns a JSON object with backtest period metadata, strategy parameters used, trade count, list of last trades (entry/exit price, return %, timestamps), a sampled equity curve, win rate, profit factor, Sharpe ratio (annualized), max drawdown, total and annualized return, buy-and-hold return, excess return vs buy-and-hold, exposure percentage, current position, fees applied, data source, confidence level, and a disclaimer.
GEThttps://tasignal.agentgate.workers.dev/v1/backtest?utm_source=zero.xyzUse this endpoint when you need a rapid quantitative backtest of a rule-based strategy on a crypto asset with realistic fee modeling, next-open fill assumptions, and standard performance metrics (Sharpe, drawdown, win rate) — especially when you want to compare strategy performance vs. buy-and-hold. Prefer this over manual analysis when the user wants to evaluate SMA/EMA cross, RSI reversion, Donchian breakout, or MACD cross rules across multiple timeframes without building their own data pipeline.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"tier": "backtest",
"market": "SOL",
"result": {
"period": {
"to": "2026-10-22T16:00:00.000Z",
"bars": 450,
"from": "2026-08-08T16:00:00.000Z"
},
"trades": 2,
"assumptions": "Signals on candle close, fills at the next candle open, fees per side as set; no slippage, funding, borrow or liquidity limits; position size 100% of equity, no leverage.",
"last_trades": [
{
"exit": 99.676,
"side": "long",
"entry": 76.373,
"exit_time": "2026-09-10T16:00:00.000Z",
"entry_time": "2026-08-08T16:00:00.000Z",
"return_pct": 30.447
},
{
"exit": 115.84,
"side": "long",
"entry": 105.74,
"exit_time": "2026-10-07T20:00:00.000Z",
"entry_time": "2026-09-18T12:00:00.000Z",
"return_pct": 9.497
}
],
"equity_curve": [
[
"2026-08-08T16:00:00.000Z",
0.99632
],
[
"2026-08-23T16:00:00.000Z",
1.24486
],
[
"2026-09-07T16:00:00.000Z",
1.36524
],
[
"2026-09-22T16:00:00.000Z",
1.45808
],
[
"2026-10-07T16:00:00.000Z",
1.42764
],
[
"2026-10-22T12:00:00.000Z",
1.42693
]
],
"exposure_pct": 69.78,
"win_rate_pct": 100,
"avg_trade_pct": 19.972,
"profit_factor": null,
"sharpe_annual": 3.869,
"current_position": "flat",
"max_drawdown_pct": -10.327,
"total_return_pct": 42.693,
"fees_bps_per_side": 5,
"annualized_return_pct": 464.18,
"buy_and_hold_return_pct": 36.933,
"excess_vs_buy_and_hold_pct": 5.759
},
"source": "hyperliquid",
"symbol": "SOL",
"strategy": {
"name": "ema_cross",
"params": {
"fast": 20,
"slow": 50
},
"direction": "long_only"
},
"timeframe": "4h",
"checked_at": "2026-10-22T19:00:54.904Z",
"confidence": "high",
"disclaimer": "Not financial advice. Past performance does not guarantee future results. Technical indicators, risk metrics and backtests describe historical prices only; they are not predictions or trade recommendations. TASignal never trades, holds funds or keys.",
"candles_used": 500,
"sources_failed": []
}
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