WMA 20 50 200 Stack

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

66/ 100
Total Score
1of 52
Overall Rank
1of 28
In Trend
12,437
Trades Taken

Across 24 runs of real history, one for every market and bar size it trades, this strategy scored highest on ETHUSDT · 1d (82 / 100) and lowest on XRPUSDT · 1d (21 / 100).

What A $100.00 Stake Became

Score
Total Score Mean Of Real And Resampled 66 / 100
Real Data 68 / 100
Resampled Data 64 / 100
Overall Rank Top 2% 1 of 52
Rank In Trend Top 4% 1 of 28
By Metric
Beats Hold Real 67 · Resampled 78 72 / 100
Risk Adjusted Real 62 · Resampled 53 58 / 100
Profitability Real 89 · Resampled 72 80 / 100
Win Rate Real 42 · Resampled 41 42 / 100
Fee Efficiency Real 72 · Resampled 73 72 / 100

Where It Works

How It Trades

  1. Compute three weighted moving averages over 20, 50 and 200 bars.
  2. Buy when they stack bullishly: fast above mid above slow. With a 200-bar anchor this is the slowest confirmation of the three stack strategies: fewer signals, but only in established trends.
  3. Sell when the fast average drops back below the mid.

Example Strategy

Pine Script

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

//@version=6
// WMA 20 50 200 Stack — 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("WMA 20 50 200 Stack", 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 ──────────────────────────────────────────────────────────────
fast = ta.wma(close, 20)
mid = ta.wma(close, 50)
slow = ta.wma(close, 200)
aligned = fast > mid and mid > slow
enterNow = aligned and not aligned[1]
exitNow = fast < mid

// ── 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, "WMA 20", color=#4d8dff)
plot(mid, "WMA 50", color=#e0a03a)
plot(slow, "WMA 200", color=#8a92a0)
Show

Total Score

68 64 / 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

67 78 / 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

62 53 / 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

89 72 / 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

42 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

72 73 / 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.