Turtle Breakout

How this strategy trades, what it scored, and the measurements the score was read from: every symbol and timeframe, on real and resampled history.

At A Glance

46/ 100
Total Score
27of 52
Overall Rank
4of 5
In Breakout
31,855
Trades Taken

Across 24 runs of real history, one for every market and bar size it trades, this strategy scored highest on SOLUSDT · 1d (96 / 100) and lowest on BTCUSDT · 30m (3 / 100).

What A $100.00 Stake Became

Score
Total Score Mean Of Real And Resampled 46 / 100
Real Data 49 / 100
Resampled Data 44 / 100
Overall Rank Top 52% 27 of 52
Rank In Breakout Top 80% 4 of 5
By Metric
Beats Hold Real 42 · Resampled 53 47 / 100
Risk Adjusted Real 47 · Resampled 37 42 / 100
Profitability Real 64 · Resampled 45 55 / 100
Win Rate Real 44 · Resampled 41 43 / 100
Fee Efficiency Real 49 · Resampled 49 49 / 100

Where It Works

How It Trades

  1. Track the previous 20-bar high, the previous 10-bar low, and the 20-bar average range.
  2. Buy when the close breaks above the 20-bar high: the classic Turtle trend entry.
  3. Exit on whichever comes first: the close falling below the 10-bar low (the trend has rolled over), or a safety stop 2 average ranges below the entry price (the trade went wrong quickly).

Example Strategy

Pine Script

Paste it into TradingView’s Pine Editor to run these rules on any chart.

//@version=6
// Turtle Breakout — sort.finance. Fills at the signal bar's close, 0.02% fee a side,
// whole account per trade, as the backtest. History and indicator warm-up
// differ from the site's, so expect close to the same trades, not identical.
strategy("Turtle Breakout", overlay=true,
     initial_capital=100, default_qty_type=strategy.percent_of_equity,
     default_qty_value=100, commission_type=strategy.commission.percent,
     commission_value=0.02, process_orders_on_close=true, pyramiding=0)

// The bar the current position opened on, and the bar the last one closed on.
var int entryBar = na
var int exitBar = -1

// ── Signals ──────────────────────────────────────────────────────────────
entryHigh = ta.highest(close, 20)[1]
exitLow = ta.lowest(close, 10)[1]
rangeAverage = ta.sma(ta.tr(true), 20)
var float stopLevel = na
enterNow = close > entryHigh
// The stop is fixed on the bar the position opens.
if strategy.position_size == 0 and bar_index > exitBar and enterNow
    stopLevel := close - 2.0 * rangeAverage
exitNow = close <= stopLevel or close < exitLow

// ── Orders ───────────────────────────────────────────────────────────────
// Open on the first bar the entry holds while flat; close on the first
// later bar the exit holds; never reopen on the bar a position closed.
inTrade = strategy.position_size != 0
if inTrade and bar_index > entryBar and exitNow
    strategy.close("Long")
    exitBar := bar_index
else if not inTrade and bar_index > exitBar and enterNow
    strategy.entry("Long", strategy.long)
    entryBar := bar_index

// ── Drawing ──────────────────────────────────────────────────────────────
plot(entryHigh, "Entry Channel", color=#4d8dff)
plot(exitLow, "Exit Channel", color=#e0a03a)
plot(strategy.position_size != 0 ? stopLevel : na, "Stop", color=#b54a48, style=plot.style_linebr)
Show

Total Score

49 44 / 100

Score = 0.25 Sbeats_hold + 0.35 Srisk + 0.20 Sprofit + 0.10 Swin + 0.10 Sfee

One 0–100 number per symbol × timeframe cell. Every strategy is run on every cell, on both real and resampled price history, and the total beside its name is this number averaged over all of them.

Beats Hold

25% of the total

42 53 / 100

Sbeats_hold = clamp0100(50 + 25 log2EnetEhold)

Compares final net equity to what simply holding the asset would have returned over the same window. 50 is break-even; every doubling versus buy-and-hold adds 25 points.

Read From Net Equity · Price Change %

Net Equity

The account after fees, trade by trade.

Price Change %

What holding the asset made over the same stretch: the hold the account is measured against.

Risk Adjusted

35% of the total

47 37 / 100

Srisk = clamp0100(55 · Sharpe + 5)

A linear read on the rolling annualized Sharpe ratio at the last trade: 0 Sharpe scores 5, roughly 1.7 Sharpe maxes out the scale.

Read From Rolling Sharpe

Rolling Sharpe

The account's annualized Sharpe ratio at each trade's close.

Profitability

20% of the total

64 45 / 100

Sprofit = clamp0100(20 log2EnetE0)

How many times the starting cash multiplied, on a log scale: each doubling of capital is worth 20 points.

Read From Net Equity · Cumulative P&L %

Net Equity

The account after fees, against the cash it started with.

Cumulative P&L %

Not in the formula: every trade's return added up rather than compounded.

Win Rate

10% of the total

44 41 / 100

Swin = clamp0100(2.5 (W% − 20))

The share of trades that closed profitable, rescaled so a 20% win rate scores 0 and a 60% win rate maxes out the scale.

Read From Win Rate % · Trades

Win Rate %

The share of trades so far that closed in profit.

Trades

How many trades that share is taken over.

Fee Efficiency

10% of the total

49 49 / 100

Sfee = clamp0100(Enet/Egross − 0.40.6 × 100)

The share of the fee-free (gross) result that survives after fees: 60% survival scores 0, keeping the full gross result scores 100.

Read From Equity, Net And Gross · Cumulative Fees

Equity, Net And Gross

The account with the fees taken and, fainter, without them.

Cumulative Fees

Not in the formula: what the exchange took, which is the gap between net and gross above.