TrendRelay Backtest Lab · MS Trend + Supertrend combined

Proxy base URL (middleware) Symbol BTCUSD ETHUSD PAXGUSD SOLUSD XRPUSD DOGEUSD ADAUSD LTCUSD BNBUSD AVAXUSD LINKUSD DOTUSD TRXUSD ATOMUSD MATICUSD Other (type below) Fetch candles

Calls your own proxy route (see delta_proxy_addon.py), not Delta directly -- avoids CORS entirely. Candles are cached in this browser, so repeat fetches for the same symbol/resolution only pull new data since last time.

Parameters

Strategy variant MST+ST (Fib target + checkpoint trailing stop + Supertrend flip exit) Max Single-Trade Profit (Chandelier trail, no fixed target) High Win-Rate (quick target, wide stop -- ~85-90% win rate) Custom (upload JS)

Backtest timeframe Same as source

Validated on 1H timeframe -- set "Backtest timeframe" below accordingly if your source data isn't already 1H.

Validated on 1H timeframe, ~85-90% win rate on BTC/ETH -- set "Backtest timeframe" below accordingly. Average win is smaller than average loss; the high win rate is what makes it profitable, not win size. Entry trigger mode defaults to ATR-based (scales automatically across symbols/timeframes) -- sweep it (e.g. 0.1 to 0.3 in 0.05 steps) to find what maximizes win rate for your symbol/timeframe. Switch to "Fixed Points" mode to test a constant price offset instead, matching how the original Combined Strategy script works.

Upload strategy JS file Params (JSON) {"qty": 1, "commissionPct": 0.05}

Your JS file must define a global function: function runCustomStrategy(bars, params) { ... return trades; }
bars = array of {time, open, high, low, close, volume} (time in ms).
Return an array of trade objects: {side: 'long'|'short', entryTime, exitTime, entryPrice, exitPrice, qty, grossPnl, commission, netPnl, exitReason}.
Helper functions already available to your script: rma, trueRange, atr, pivotHigh, pivotLow, computeSupertrend.

Download example template