Dual Momentum 90 252

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

52/ 100
Total Score
18of 52
Overall Rank
2of 10
In Momentum
27,010
Trades Taken

Across 24 runs of real history, one for every market and bar size it trades, this strategy scored highest on BTCUSDT · 4h (86 / 100) and lowest on BNBUSDT · 30m (29 / 100).

What A $100.00 Stake Became

Score
Total Score Mean Of Real And Resampled 52 / 100
Real Data 57 / 100
Resampled Data 48 / 100
Overall Rank Top 35% 18 of 52
Rank In Momentum Top 20% 2 of 10
By Metric
Beats Hold Real 58 · Resampled 60 59 / 100
Risk Adjusted Real 54 · Resampled 42 48 / 100
Profitability Real 76 · Resampled 52 64 / 100
Win Rate Real 28 · Resampled 29 29 / 100
Fee Efficiency Real 54 · Resampled 54 54 / 100

Where It Works

How It Trades

  1. Measure two trailing returns each bar: a quarterly one (90 bars back) and a yearly one (252 bars back), a fast clock and a slow clock for the trend.
  2. Buy only when both are positive: the market is up versus last quarter and versus last year, so the short and long views agree the trend is real.
  3. Sell as soon as either turns negative: one clock disagreeing is enough to step aside. Requiring agreement enters later than a single-window momentum strategy but avoids trades where a short rally fights a longer downtrend, or an old uptrend is already rolling over.

Example Strategy

Pine Script

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

//@version=6
// Dual Momentum 90 252 — 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("Dual Momentum 90 252", overlay=false,
     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 ──────────────────────────────────────────────────────────────
fast = (close / close[90] - 1) * 100
slow = (close / close[252] - 1) * 100
aligned = fast > 0 and slow > 0
enterNow = aligned and not aligned[1]
exitNow = not aligned and aligned[1]

// ── 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(fast, "Momentum 90", color=#4d8dff)
plot(slow, "Momentum 252", color=#e0a03a)
hline(0, "Zero", color=color.new(#8a92a0, 40), linestyle=hline.style_dashed)
Show

Total Score

57 48 / 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

58 60 / 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

54 42 / 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

76 52 / 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

28 29 / 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

54 54 / 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.