---
title: "Examples: Spot Strategies"
description: Three complete spot strategies you can paste and run, from a two-line trend follower to bracketed exits, each one an executed example from this documentation's probe suite.
---

Three complete, runnable spot strategies. Each one is small enough to read in a minute, ships as an executed example in this documentation's probe suite, and makes a good starting skeleton for your own script. Paste any of them into the editor and press Run.

## Moving average cross

The smallest useful strategy: go long when the fast EMA crosses above the slow one, flatten when it crosses back under. One entry rule, one exit rule, nothing else.

```kscript
//@version=2
strategy(title="MA Cross Strategy", position="onchart", axis=true, initialCapital=10000, qtyType="percentOfEquity", qtyValue=50, commissionPercent=0.05, slippageBps=2)

timeseries bars = ohlcv(symbol=currentSymbol, exchange=currentExchange)
timeseries fast = ema(source=bars.close, period=9)
timeseries slow = ema(source=bars.close, period=21)

if (crossover(fast, slow)) {
  strategy.entry("L", "long")
}
if (crossunder(fast, slow)) {
  strategy.closeAll()
}

plotLine(value=fast, width=1, colors=["#4f8cff"], label=["Fast EMA"], desc=["9-period EMA of close"])
plotLine(value=slow, width=1, colors=["#f59e0b"], label=["Slow EMA"], desc=["21-period EMA of close"])
```

What to notice: `percentOfEquity` sizing keeps position size proportional as equity compounds, and `commissionPercent` plus `slippageBps` make the backtest pay realistic costs on every fill.

## RSI reversion with a protective stop

Buys oversold dips and adds a protective stop under every entry, so a dip that keeps dipping gets cut instead of riding to the bottom.

```kscript
//@version=2
strategy(title="RSI Reversion", position="onchart", axis=true, initialCapital=10000, qtyType="percentOfEquity", qtyValue=25, commissionPercent=0.05, slippageBps=2)

timeseries bars = ohlcv(symbol=currentSymbol, exchange=currentExchange)
timeseries r = rsi(source=bars.close, period=14)
timeseries oversold = 30
timeseries recovered = 55
var lastClose = bars.close

if (crossover(r, oversold)) {
  strategy.entry("Dip", "long")
}
if (strategy.positionSize() > 0) {
  strategy.exit("Protect", fromEntry="Dip", stop=lastClose * 0.96)
}
if (crossover(r, recovered)) {
  strategy.closeAll()
}

plotLine(value=bars.close, width=1, colors=["#94a3b8"], label=["Close"], desc=["Close price"])
```

What to notice: `strategy.exit` with `fromEntry` scopes the stop to the named entry, and the stop follows `lastClose` at placement time. The [first strategy tutorial](first-strategy) builds this script up line by line.

## Trend entries with bracket exits

A crossover entry bracketed by both a stop and a take-profit limit. Whichever side the market touches first closes the trade and cancels the other side.

```kscript
//@version=2
strategy(title="Trend with Brackets", position="onchart", axis=true, initialCapital=10000, qtyType="fixed", qtyValue=1, pyramiding=1, fillModel="pathHeuristic")

timeseries bars = ohlcv(symbol=currentSymbol, exchange=currentExchange)
timeseries fast = sma(source=bars.close, period=5)
timeseries slow = sma(source=bars.close, period=20)
var lastClose = bars.close

if (crossover(fast, slow)) {
  strategy.entry("Trend", "long")
}
if (strategy.positionSize() > 0) {
  strategy.exit("Protect", fromEntry="Trend", stop=lastClose * 0.97, limit=lastClose * 1.05)
}

plotLine(value=fast, width=1, colors=["#4f8cff"], label=["Fast SMA"], desc=["5-period SMA of close"])
plotLine(value=slow, width=1, colors=["#8b5cf6"], label=["Slow SMA"], desc=["20-period SMA of close"])
```

What to notice: the stop and limit placed through one `strategy.exit` call form an OCA pair. How contested bars resolve (both sides touched in one bar) is exactly what the [fill simulation](fill-simulation) page explains.