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VRSI and MARSI Strategy

Author: ChaoZhang, Date: 2024-02-02 17:21:09
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Overview

The VRSI and MARSI strategy utilizes moving averages to smooth the RSI indicators and implements a dual indicator strategy. It uses both the RSI indicator of price and volume, combined with their moving averages, to generate trading signals. It goes long when the price RSI rises and goes short when the price RSI falls. Meanwhile, it observes the changes in the volume RSI to judge the market strength and possible trend changes.

Strategy Logic

The strategy first calculates the 9-period RSI indicator of price (RSI) and the 9-period RSI indicator of volume (VRSI). Then it calculates the 5-period simple moving average (MARSI and MAVRSI) of these two RSI indicators.

The trading signals are generated based on the MARSI indicator. It goes long when MARSI rises and goes short when MARSI falls. In addition, the MAVRSI indicator is used to judge market strength and possible trend changes.

For example, during an uptrend, if price continues going up but volume starts decreasing, this signals that the bullish strength may be weakening and one should prepare to close long positions. On the contrary, during a downtrend, if price keeps falling but volume rises, this signals strengthening bearish power and short positions can be held further.

Advantage Analysis

By combining the moving averages of dual RSI indicators, this strategy can effectively catch trends, while using volume changes to judge market strength and avoid being trapped. Compared to a single RSI indicator, this strategy can grasp market rhythm more precisely.

The use of moving averages also filters out some noise to make the signals more reliable. Also, different parameter settings like RSI period and moving average period provide possibilities for strategy optimization.

Risk Analysis

The major risk of this strategy lies in divergences that may occur between the dual indicators. When there is a divergence between price and volume, the trading signals can become less reliable. Manual judgement of the relationship between the indicators is needed then.

Another risk is being trapped in range-bound markets. When price moves in a range, the RSI indicator tends to oscillate up and down, triggering unnecessary trades. Parameter adjustment or judging absolute level of indicators is required then.

Optimization Directions

The strategy can be optimized in the following aspects:

  1. Adjust parameters of RSI and moving averages to find optimal combinations

  2. Add other conditions when generating signals, e.g. reversal signals triggered in overbought/oversold area tend to be more reliable

  3. Add stop loss strategies like moving stop loss or indicator stop loss

  4. Incorporate other indicators e.g. candlestick patterns, volatility indicators etc. to avoid traps

Summary

The VRSI and MARSI strategy successfully combines the RSI indicators of price and volume. The comparison and judgement between the dual indicators can improve signal accuracy and profitability. Parameter optimization and stop loss strategies also make stable running possible. In summary, by combining indicators, this strategy achieves superior performance over a single RSI indicator.

/*backtest
start: 2024-01-02 00:00:00
end: 2024-02-01 00:00:00
period: 3h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
strategy("VRSI-MARSI Strategy", shorttitle="(V/MA)RSI Str.", overlay=false, default_qty_type=strategy.percent_of_equity, calc_on_order_fills=true, calc_on_every_tick=true, pyramiding=0, default_qty_value=5, initial_capital=100)

// RSI(close, ="RSI") and RSI(Volume, ="VRSI")
src = close, len = input(9, minval=1, title="Length RSI")
src2 = volume, len2 = input(9, minval=1, title="Length VRSI)")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
up2 = rma(max(change(src2), 0), len2)
down2 = rma(-min(change(src2), 0), len2)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsi2 = down2 == 0 ? 100 : up2 == 0 ? 0 : 100 - (100 / (1 + up2 / down2))

// MA(=Moving Average) of RSI(close, ="MARSI") and RSI(Volume, ="MAVRSI")
len3 = input(5, minval=1, title="Length MARSI")
marsi = sma(rsi, len3)
len4 = input(5, minval=1, title="Length MAVRSI")
marsi2 = sma(rsi2, len4)

// Plot: 
// Default plot of RSI and VRSI: not visible but can be made visible
// Default plot MARSI and MAVRSI: visible
p1 = plot(rsi, linewidth=2, transp=100, color=color.yellow, title="RSI")
p2 = plot(rsi2, linewidth=2, transp=100, color=color.orange, title="VRSI")
m1 = plot(marsi, color=(marsi>=0 ? (marsi[1] < marsi ? color.yellow : color.blue) : (marsi[1] < marsi ? color.yellow : color.blue) ), linewidth = 2, transp = 0, title="MARSI")
m2 = plot(marsi2, color=color.orange, linewidth = 2, transp = 0, title="MAVRSI")

// Color fill:
// Default color fill "RSI - VRSI": not visible but can be made visible
// Default color fill "MARSI - MAVRSI": visible
fill(p1,p2, color = rsi>rsi2 ? color.green : color.red, transp=100, title="BG RSI-VRSI")
fill(m1,m2, color = marsi>marsi2 ? color.green : color.red, transp=75, title="BG MARSI-MAVRSI")

// Lines:
h2=hline(20, color=color.green, linestyle=hline.style_dotted, title="Extreme Oversold Rsi")
h3=hline(30, color=color.black, linestyle=hline.style_dotted, title="Oversold Rsi")
h5=hline(50, color=color.yellow, linestyle=hline.style_dashed, title="Middle line")
h7=hline(70, color=color.black, linestyle=hline.style_dotted, title="Overbought Rsi")
h8=hline(80, color=color.red, linestyle=hline.style_dotted, title="Extreme Overbought Rsi")

// Color fill between Lines "20-30" and "70-80" represents the crossing of "MARSI" and "MAVRSI":
fill(h2, h3, color=(marsi2 > marsi ? color.red : color.green), transp=80, title="20-30 BG color X MARSI/MAVRSI")
fill(h7, h8, color=(marsi2 > marsi ? color.red : color.green), transp=80, title="70-80 BG color X MARSI/MAVRSI")

///Long Entry///
longCondition = marsi > marsi[1] 
if (longCondition)
    strategy.entry("Long", strategy.long)

///Long exit///
Xlong =input(true)
closeConditionLong = marsi < marsi[1] and Xlong
if (closeConditionLong)
    strategy.close("Long")

///Short Entry///
shortCondition = marsi < marsi[1] 
if (shortCondition)
    strategy.entry("Short", strategy.short)
    
///Short exit///
Xshort =input(true)
closeConditionShort = marsi > marsi[1] and Xshort
if (closeConditionShort)
    strategy.close("Short")
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