“Two Stochastics” is a popular trading strategy that uses two Stochastic indicators and RSI filter to determine its entry points.
“Two Stochastics” Settings
The strategy uses two Stochastic indicators: slow Stochastic with parameters %K period = 21, %D period = 9, Slowing = 9 and fast Stochastic with parameters %K period = 9, %D period = 3, Slowing = 3.
How to trade “Two Stochastics“?
A trader should use 3 indicators: slow Stochastic, fast Stochastic and RSI. A trader should open a long trade when both of Stochastics are in oversold zone (<20) and RSI shows oversold (<30) as well. A short position should be opened when both of Stochastics are in overbought zone (>80) and RSI shows overbought (>70) as well.
To run a back-test we have coded a complete “Two Stochastics” trading strategy as a MetaTrader 4 Expert Advisor. During preliminary analysis we have identified that the best time frame for “Two Stochastics” trading strategy is 1 hour (H1).
We have run a back-test of “Two Stochastics” strategy. For our test as a trade exit rule we have used a Trailing Stop of 30 pips which is launched after a trade has started and is modified each new 1 pip of profit. From our point of view, such approach allows to maximize profit and minimize drawdown.
We have run the test for 2009.01.01-2020.03.13 using Every Tick modelling on EURUSD-H1, using 1:4 leverage, without reinvestment, assuming spread equals 10 ticks. These are the main parameters of “Two Stochastics” trading strategy performance at its non-optimized state:
|ROI||# of trades||Winning ratio||Max. drawdown|
Trading data analysis
After running the initial test of a simple non-filtered strategy we perform a trading data analysis that allows to identify possible filters to use to make the strategy more profitable reducing the drawdown simultaneously.
The following charts may give some possible insights on which filters to apply (time sessions, day of week limitation, trend strength threshold, overbought/oversold conditions, volatility range) to turn this strategy profitable should you decide to use this strategy in your investment portfolio:
“Two Stochastics” trading strategy can be used with other indicators to filter out losing trades and make entry signals more accurate. After analysing trading data we have found the following insights which have helped us to increase the profitability of “Two Stochastics” trading strategy and reduce its drawdown:
- Most Trades that were opened at a too low and too high value of ADX where losing when trading “Two Stochastics” trading strategy during 2009 – 2020. ADX shows the power of a trend and at lower and higher values, the trend is not stable.
(ROI increase -7% -> 1.7%, Drawdown reduction 81% -> 16%)
- The most profitable trades were opened at middle values of RVI when trading “Two Stochastics” trading strategy during 2009 – 2020. RVI measures the strength of a trend and it is unreasonable to take trades when trend is still not stable or when the current trend is at its final stage.
(ROI increase -7% -> -0.5%, Drawdown reduction 81% -> 27%)
- Trades that were opened at a boundary state of MACD brought more losses when trading “Two Stochastics” trading strategy during 2009 – 2020. MACD shows the power and direction of the current trend.
(ROI increase -7% -> -5%, Drawdown reduction 81% -> 65%)
We have analysed data received from a test of Two Stochastics trading strategy during 2009 — 2020 years and applied some filters such as Stochastic, RVI and MACD. As a result, the profitability of the strategy has increased from -7.31% up to 3.77% and it’s drawdown has reduced from 64.29% to 11.60% using leverage 1:4.
Reducing the drawdown has allowed us to increase the leverage that can be used while trading this strategy up to 1:70, which in turn, has resulted in annualized ROI increase up to 66.05%!
|ROI||# of trades||Winning ratio||Max. drawdown|
Analyze your trading strategy!
If you decide to buy an EA, coded in accordance with the strategy and used for the test, or to make any amendments to the original strategy rules – please, feel free to contact us.
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Disclaimer: Hypothetical or Simulated performance results have certain limitations, unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, such as lack of liquidity.
Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
Past performance is not necessarily indicative of future results. The customer is responsible for using the product at his or her own risk and “Nordman Algorithms” is not responsible for any possible losses caused by use of the product, including but not limited to losses.