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The Multi-Period Trading Strategy Based on Volatility Index and Stochastic Oscillator

Author: ChaoZhang, Date: 2023-12-21 14:34:42
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Overview This strategy combines the volatility index VIX and stochastic oscillator RSI through a composition of indicators across different time periods, in order to achieve efficient breakout entries and overbought/oversold exits. The strategy has large room for optimizations and can be adapted to different market environments.

Principles

  1. Calculate the VIX volatility index: take the highest and lowest prices over the past 20 days to compute volatility. High VIX indicates market panic while low VIX suggests market complacency.

  2. Compute the RSI oscillator: take the price changes over the past 14 days. RSI above 70 suggests overbought conditions and RSI below 30 suggests oversold conditions.

  3. Combine the two indicators. Go long when VIX breaches the upper band or the highest percentile. Close longs when RSI goes above 70.

Advantages

  1. Integrates multiple indicators for comprehensive market timing assessment.
  2. Indicators across timeframes verify each other and improves decision accuracy.
  3. Customizable parameters can be optimized for different trading instruments.

Risks

  1. Improper parameter tuning may cause multiple false signals.
  2. A single exit indicator may miss price reversals.

Optimization Suggestions

  1. Incorporate more confirming indicators like moving averages and Bollinger bands to time entries.
  2. Add more exit indicators such as reversal candlestick patterns.

Summary This strategy utilizes the VIX to gauge market timing and risk levels, and filters out unfavorable trades using overbought/oversold readings from the RSI, in order to enter at opportune moments and exit timely with stops. There is ample room for optimization to suit wider market conditions.


/*backtest
start: 2023-11-20 00:00:00
end: 2023-12-20 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © timj

strategy('Vix FIX / StochRSI Strategy', overlay=true, pyramiding=9, margin_long=100, margin_short=100)

Stochlength = input.int(14, minval=1, title="lookback length of Stochastic")
StochOverBought = input.int(80, title="Stochastic overbought condition")
StochOverSold = input.int(20, title="Stochastic oversold condition")
smoothK = input(3, title="smoothing of Stochastic %K ")
smoothD = input(3, title="moving average of Stochastic %K")
k = ta.sma(ta.stoch(close, high, low, Stochlength), smoothK)
d = ta.sma(k, smoothD)

///////////// RSI 
RSIlength = input.int( 14, minval=1 , title="lookback length of RSI")
RSIOverBought = input.int( 70  , title="RSI overbought condition")
RSIOverSold = input.int( 30  , title="RSI oversold condition")
RSIprice = close
vrsi = ta.rsi(RSIprice, RSIlength)

///////////// Double strategy: RSI strategy + Stochastic strategy

pd = input(22, title="LookBack Period Standard Deviation High")
bbl = input(20, title="Bolinger Band Length")
mult = input.float(2.0    , minval=1, maxval=5, title="Bollinger Band Standard Devaition Up")
lb = input(50  , title="Look Back Period Percentile High")
ph = input(.85, title="Highest Percentile - 0.90=90%, 0.95=95%, 0.99=99%")
new = input(false, title="-------Text Plots Below Use Original Criteria-------" )
sbc = input(false, title="Show Text Plot if WVF WAS True and IS Now False")
sbcc = input(false, title="Show Text Plot if WVF IS True")
new2 = input(false, title="-------Text Plots Below Use FILTERED Criteria-------" )
sbcFilt = input(true, title="Show Text Plot For Filtered Entry")
sbcAggr = input(true, title="Show Text Plot For AGGRESSIVE Filtered Entry")
ltLB = input.float(40, minval=25, maxval=99, title="Long-Term Look Back Current Bar Has To Close Below This Value OR Medium Term--Default=40")
mtLB = input.float(14, minval=10, maxval=20, title="Medium-Term Look Back Current Bar Has To Close Below This Value OR Long Term--Default=14")
str = input.int(3, minval=1, maxval=9, title="Entry Price Action Strength--Close > X Bars Back---Default=3")
//Alerts Instructions and Options Below...Inputs Tab
new4 = input(false, title="-------------------------Turn On/Off ALERTS Below---------------------" )
new5 = input(false, title="----To Activate Alerts You HAVE To Check The Boxes Below For Any Alert Criteria You Want----")
sa1 = input(false, title="Show Alert WVF = True?")
sa2 = input(false, title="Show Alert WVF Was True Now False?")
sa3 = input(false, title="Show Alert WVF Filtered?")
sa4 = input(false, title="Show Alert WVF AGGRESSIVE Filter?")

//Williams Vix Fix Formula
wvf = ((ta.highest(close, pd)-low)/(ta.highest(close, pd)))*100
sDev = mult * ta.stdev(wvf, bbl)
midLine = ta.sma(wvf, bbl)
lowerBand = midLine - sDev
upperBand = midLine + sDev
rangeHigh = (ta.highest(wvf, lb)) * ph

//Filtered Bar Criteria
upRange = low > low[1] and close > high[1]
upRange_Aggr = close > close[1] and close > open[1]
//Filtered Criteria
filtered = ((wvf[1] >= upperBand[1] or wvf[1] >= rangeHigh[1]) and (wvf < upperBand and wvf < rangeHigh))
filtered_Aggr = (wvf[1] >= upperBand[1] or wvf[1] >= rangeHigh[1]) and not (wvf < upperBand and wvf < rangeHigh)

//Alerts Criteria
alert1 = wvf >= upperBand or wvf >= rangeHigh ? 1 : 0
alert2 = (wvf[1] >= upperBand[1] or wvf[1] >= rangeHigh[1]) and (wvf < upperBand and wvf < rangeHigh) ? 1 : 0
alert3 = upRange and close > close[str] and (close < close[ltLB] or close < close[mtLB]) and filtered ? 1 : 0
alert4 = upRange_Aggr and close > close[str] and (close < close[ltLB] or close < close[mtLB]) and filtered_Aggr ? 1 : 0

//Coloring Criteria of Williams Vix Fix
col = wvf >= upperBand or wvf >= rangeHigh ? color.lime : color.gray

isOverBought = (ta.crossover(k,d) and k > StochOverBought) ? 1 : 0
isOverBoughtv2 = k > StochOverBought ? 1 : 0
filteredAlert = alert3 ? 1 : 0
aggressiveAlert = alert4 ? 1 : 0


if (filteredAlert or aggressiveAlert)
    strategy.entry("Long", strategy.long)

if (isOverBought)
    strategy.close("Long")

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