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Strategy vault / Volatility

Weekend Range Trading Strategy

This strategy specifically trades the weekend price swings by determining long/short direction based on pre-set percentage bands. It is a typical range trading system. Strategy Logic: 1. Set percentage bands based on…

Pine ScriptVolatility
Author
ChaoZhang
Complexity
Intermediate · 97 lines
Parameters
9
Backtest bar
2d · swing
Tested on
BTC/USDT · futures

This strategy specifically trades the weekend price swings by determining long/short direction based on pre-set percentage bands. It is a typical range trading system.

Strategy Logic:

  1. Set percentage bands based on previous Friday close, e.g. 4.5% up/down.

  2. Enter short if price exceeds upside band, enter long if below downside band.

  3. Add positions when reaching new bands in existing direction.

  4. Take profit when accumulated gains reach threshold, such as 10%.

  5. Allow maximum two simultaneous positions, one in each direction. Close all before Monday open.

Advantages:

  1. Fixed percentage bands allow mechanical trading.

  2. Multi-tier entries achieve better cost basis.

  3. Periodicity is stable, unaffected by fundamentals.

Risks:

  1. Unable to limit single trade loss size, risks large losing trades.

  2. Fixed parameters fail to adapt changing volatility across periods.

  3. Periodicity may change over time, invalidating the model.

In summary, this strategy frequently trades the weekend cycle but faces challenges locking in profits consistently. Exercise caution on parameter failure and outsized losses when applying.

Parameters

NameDefaultWhat it controls
v_input_110Leverage
v_input_20.1Profit Taking Percent Threshold
v_input_32017Backtest Start Year
v_input_412Backtest Start Month
v_input_510Backtest Start Day
v_input_62025Backtest Stop Year
v_input_712Backtest Stop Month
v_input_830Backtest Stop Day
v_input_9trueColor Background?

Source Pine Script

/*backtest
start: 2023-01-01 00:00:00
end: 2023-09-12 00:00:00
period: 2d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=3
//Copyright Boris Kozak 
// strategy("XBT Weekend Trade Strategy", overlay=true, default_qty_type=strategy.percent_of_equity,)
strategy.initial_capital=50000
leverage = input(10,"Leverage")
profitTakingPercentThreshold = input(0.10,"Profit Taking Percent Threshold")

//****Code used for setting up backtesting.****///
testStartYear = input(2017, "Backtest Start Year")
testStartMonth = input(12, "Backtest Start Month")
testStartDay = input(10, "Backtest Start Day")
testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,0,0)

testStopYear = input(2025, "Backtest Stop Year")
testStopMonth = input(12, "Backtest Stop Month")
testStopDay = input(30, "Backtest Stop Day")
testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay,0,0)

// A switch to control background coloring of the test period
testPeriodBackground = input(title="Color Background?", type=bool, defval=true)
testPeriodBackgroundColor = testPeriodBackground and (time >= testPeriodStart) and (time <= testPeriodStop) ? #00FFFF : na
bgcolor(testPeriodBackgroundColor, transp=50)

testPeriod() => true
    
//****END Code used for setting up backtesting.****///


//*** Main entry point is here***//
// Figure out how many days since the Friday close 
days_since_friday = if dayofweek == 6
    0
else 
    if dayofweek == 7
        1
    else
        if dayofweek == 1
            2
        else
            if dayofweek == 2
                3
            else
                if dayofweek == 3
                    4
                else
                    if dayofweek == 4
                        5
                    else
                        6
    
// Grab the Friday close price
fridaycloseprice = security(syminfo.ticker,'D',close[days_since_friday])
plot(fridaycloseprice)

// Only perform backtesting during the window specified 
if testPeriod()
    // If we've reached out profit threshold, exit all positions 
    if ((strategy.openprofit/strategy.initial_capital) > profitTakingPercentThreshold)
        strategy.close_all()
    // Only execute this trade on saturday and sunday (UTC)
    if (dayofweek == 7.0 or dayofweek == 1.0)
        // Begin - Empty position (no active trades)
        if (strategy.position_size == 0)
            // If current close price > threshold, go short 
            if ((close>fridaycloseprice*1.045))
                strategy.entry("Short Entry", strategy.short, leverage)
            else
                // If current close price < threshold, go long
                if (close<(fridaycloseprice*0.955))
                    strategy.entry("Long Entry",strategy.long, leverage)
        // Begin - we already have a position
        if (abs(strategy.position_size) > 0)
            // We are short 
            if (strategy.position_size < 0)
                if ((close>strategy.position_avg_price*1.045))
                    // Add to the position
                    strategy.entry("Adding to Short Entry", strategy.short, leverage)
            else
                if ((close<strategy.position_avg_price*0.955))
                    strategy.entry("Adding to Long Entry",strategy.long,leverage)
    // On Monday, if we have any open positions, close them 
    if (dayofweek==2.0)
        strategy.close_all()
 




Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-13. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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