Price WMA 20 Crossover

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

How It Trades

  1. Compute the 20-bar weighted moving average of the close.
  2. Buy when the close crosses above the WMA: price is running ahead of its own recent weighted trend.
  3. Sell when the close crosses back below the WMA.

Example Strategy

Pine Script

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

//@version=6
// Price WMA 20 Crossover — 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("Price WMA 20 Crossover", 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 ──────────────────────────────────────────────────────────────
average = ta.wma(close, 20)
above = close > average
enterNow = above and not above[1]
exitNow = not above and above[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(average, "WMA 20", color=#4d8dff)