The Pivot Reversal Candlestick Strategy is a quantitative trading strategy that generates trading signals based on pivot points. This strategy calculates the highest price and lowest price of a certain number of candlesticks on the left side to determine the pivot area. When the price breaks through the pivot area, it will initiate corresponding long or short positions.
The core logic of this strategy is to calculate the highest price of the left 4 candlesticks as the long pivot and the lowest price of the left 4 candlesticks as the short pivot. The right 2 candlesticks are used to determine if the price has broken through the pivot area. When the price exceeds the long pivot, go long. When the price falls below the short pivot, go short.
Specifically, the strategy first calculates the highest price swh
of the left 4 candlesticks as the long pivot. At the same time, it calculates the lowest price swl
of the left 4 candlesticks as the short pivot. After determining the pivot, it uses the right 2 candlesticks to judge whether the price breaks through the pivot area. If the price exceeds swh
, go long. If the price is lower than swl
, go short.
After the long and short signals are triggered, it will place long or short orders and set the stop loss outside the pivot area to control risks.
The biggest advantage of the Pivot Reversal Strategy is that it can capture the timing of price reversals. When the price stays in a range for a long time, it often oscillates around the pivot area. Using the pivot breakout strategy at this time can capture the best timing of price reversals and make profits.
Compared with other reversal strategies, the Pivot Reversal Strategy has the advantages of easy operation, controllable risks, etc. The settings of left and right candlestick numbers can be freely adjusted to adapt to different products and market environments. In addition, with stop loss set outside the pivot area, risks can be effectively controlled.
The main risk of the Pivot Reversal Strategy is the incorrect judgment of the pivot area. If the left candlesticks cannot determine a clear pivot area, the breakout of the right candlesticks may be a wrong signal, which is likely to cause losses.
In addition, sudden changes in trends can also bring risks. Although stop loss is set, if abnormal situations such as price gaps or skip happen, the stop loss may not provide good protection.
To reduce risks, we can consider adopting strategies of going both long and short at the same time, that is, go long when price rises and go short when price falls, to hedge some risks. We can also combine other indicators to judge trends and avoid missing trading opportunities at possible reversal points.
The strategy can be optimized in the following aspects:
Optimize left and right candlestick number settings. Test more combinations of left and right candlesticks to find the optimal parameters.
Add indicator filters. Add filters like MA, MACD etc. when taking positions to avoid entering the market in uncertain situations.
Optimize stop loss level settings. Choose better stop loss positions according to the characteristics of different products.
Add trailing stop loss. After taking positions, trailing stop loss can be used to lock in profits, instead of simple stop loss exit.
The Pivot Reversal Strategy makes trades by capturing the timing of price reversals in pivot areas. It has the advantages of easy operation, controllable risks, etc. The main risks lie in the incorrect identification of the pivot area and sudden changes in trends. By methods like parameter optimization, adding filters, improving stop loss strategies, etc., risks can be reduced and the stability of the strategy can be improved. In general, the Pivot Reversal Strategy is very suitable for capturing short-term trading opportunities in range-bound markets.
/*backtest start: 2022-12-08 00:00:00 end: 2023-12-14 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=3 strategy("Pivot Reversal Strategy", overlay=true) leftBars = input(4) rightBars = input(2) swh = pivothigh(leftBars, rightBars) swl = pivotlow(leftBars, rightBars) swh_cond = not na(swh) hprice = 0.0 hprice := swh_cond ? swh : hprice[1] le = false le := swh_cond ? true : (le[1] and high > hprice ? false : le[1]) if (le) strategy.entry("Long", strategy.long, comment="Long", stop=hprice + syminfo.mintick) swl_cond = not na(swl) lprice = 0.0 lprice := swl_cond ? swl : lprice[1] se = false se := swl_cond ? true : (se[1] and low < lprice ? false : se[1]) if (se) strategy.entry("Short", strategy.short, comment="Short", stop=lprice - syminfo.mintick) //plot(strategy.equity, title="equity", color=red, linewidth=2, style=areabr)