TradingTune Backtests

https://tradingtune.com/backtests

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Documentation showcasing backtests of the Smart Momentum Grid trading strategy optimized with...

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### Backtest Run Summary Metadata (metadata.csv)

Source: https://tradingtune.com/backtests

A one-line summary recorded for each optimization run, including run ID, optimization method, start time, cycle counts, and the best cycle's net profit percentage. This CSV format allows for re-importing and side-by-side comparison of runs.

```csv
runId,optMethod,startedAt,totalCycles,cyclesCompleted,bestCycle,bestNetProfitPct
2026-05-20T14:02:11.880Z,bisection_then_tpe,2026-05-20T14:02:11.880Z,240,240,137,318.6

```

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### Example Momentum Strategy in Pine v5

Source: https://tradingtune.com/backtests

An illustrative Pine v5 strategy skeleton used for optimization. It includes input parameters for moving average lengths and RSI, and defines entry and exit conditions based on crossovers and RSI thresholds. Commission and slippage are configured to reflect real trading costs.

```pine
#@version=5
strategy("Example Momentum", overlay=true,
     commission_type=strategy.commission.percent, commission_value=0.05,
     slippage=2, default_qty_type=strategy.percent_of_equity, default_qty_value=10)

fastLen = input.int(20, "Fast MA Length", minval=1)
slowLen = input.int(100, "Slow MA Length", minval=1)
rsiLen  = input.int(14, "RSI Length", minval=1)

fast = ta.sma(close, fastLen)
slow = ta.sma(close, slowLen)
rsi  = ta.rsi(close, rsiLen)

if ta.crossover(fast, slow) and rsi > 50
    strategy.entry("Long", strategy.long)
if ta.crossunder(fast, slow)
    strategy.close("Long")

```

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