September 9

12 comments

Using TRIN To Create A Winning System

By Jeff Swanson

September 9, 2013

automated trading, Automated Trading Development, EasyLanguage, ES, ETF trading, mean reversion, S&P Emini, stock index futures

In this article I’m going to present another timing method that is 70% correct and consistently pulls money from both the S&P 500 market and the Mini DOW since 1997. The overall philosophy of the strategy will be to buy pullbacks within an uptrend and exit when price reaches a short term over bought level. The basis for the strategy can be found in a book called “Short Term Trading Strategies That Work” by Larry Connors and Cesar Alvarez. Throughout the article I’m going to modify their basic strategy to take advantage of other trading techniques.

Many trading systems and indicators generate their buy/sell signals from price. What this means is a lot of people are looking at price. When it comes to making money in the financial markets, if a lot of people are doing something, it can often be to your benefit to look elsewhere for answers!  Thus, non-price based information can lead to powerful edges you can exploit. A common non-price based indicator is volume. Many traders will use volume or an indicator that uses volume to help make buy/sell decisions. Another is the put/call ratio which measures the number of open puts vs. the number of open calls. In this article I’m going to look at the ARMS index.

The ARMS index is more commonly known as the TRIN (Short-Term TRading INdex). The TRIN measures the bearishness or bullishness of a group of stocks. In this case all stocks on the NYSE. The calculation looks like this:

TRIN = ( Advance Decline Ratio / Advance Decline Volume Ratio )

Where:

Advance Decline Ratio = Advancing stocks / Declining Stocks
Advance Decline Volume Ratio = Total Volume of Advancing Stocks / Total Volume of Declining Stocks )

Generally speaking, a TRIN value below the value of one demonstrates relative strength in the advance/decline ratio which is a more bullish market. On the other hand, a TRIN value above the value one shows relative weakness in the advance/decline ratio which is more bearish in nature.

The TRIN is below 1 when the AD Volume Ratio is greater than the AD Ratio and above 1 when the AD Volume Ratio is less than the AD Ratio. Low readings, below 1, indicate strength in the AD Volume Ratio. High readings, above 1, indicate relative weakness in the AD Volume Ratio. In general, strong market advances are accompanied by relatively low TRIN readings. As you can see the TRIN value is inverse to the price of a rising index such as the NYSE.

Let’s get down to business to creating our strategy. We’ll use a trend filter to define the overall market mode (bullish or bearish). We’ll do this by using a 200-day simple moving average (SMA). When price is above its 200-day moving average the market is in bullish mode. In our example strategy we will be going long only.

For timing our entry we are going to use two indicators. Our first indicator is our battle tested 2-period RSI which must be below 50, which indicates some short-term price weakness. Our next indicator is the NYSE TRIN index. This indicator must close above 1.00 for three consecutive days. An elevated TRIN index shows sustained bearish pressure on price. Coupling these two bearish indicators together produces our buy signal. When we buy into weakness in an overall bullish market and exiting our position upon short-term market strength we are capitalizing on an over stock index edge that has been holding strong for over a decade. Furthermore, what’s nice about this particular setup is we have two indicators confirming our entry point. One is price based (RSI) and the other is non-price based (TRIN). So, we are getting confirmation from two independent sources. We open our position at the open of the next day. Our exit is even more simple than our entry rules. Once a position is opened we simply exit the trade at the close of the day if the daily 2-period RSI reads above 65.

Long-Only System Rules

  • Price must be above its 200-day moving average.
  • The RSI(2) of the market must be below 50.
  • The TRIN must close above 1.00 for three consecutive days.
  • Enter at Open of the next trading day.
  • Exit when RSI(2) of the market closes above 65.
  • Exit at the Close of the current trading day.
  • $25,000 starting equity.
  • No Stops.

I coded these rules in EasyLanguage and tested it on the S&P E-Mini futures market. A total of $30 per round trip was deducted for commissions and slippage. Below is a screen shot of some example trades. Below the ES market you will see the TRIN index and the RSI(2) indicator.

Example trades

Long Only Equity Curve

TRIN Performance

TRIN

Net Profit

$24,470

Profit Factor

2.2

Total Trades

91

%Winners

76%

Avg.Trade Net Profit

$268.90

Annual Rate of Return

4.49%

Sharpe Ratio

0.24

Max Drawdown(Intraday)

$11,638

Not too bad for a proof of concept. Remember, this strategy has no stops and we can see this really hurt us in late summer of 2011 when the market nosed dived. However, given such simple rules with no stop loss it seems we might have a decent trading idea.

Buying In A Bear Market

The Long-Only system only takes trades during a bull market. During a bear market we simply sit on the sidelines in cash. But bear markets present opportunities as well. Let’s add another buying rule to open new positions during a bear market. Based upon past market studies we’ve performed on the System Trader Success website, we can make an assumption in regards to how price behaves during a bear market. Most notably, the market can experience much deeper and stronger sell-offs. Thus, when we are looking for an entry signal, we will want to see our RSI value be much lower than the value used during a bull market. During a bull market we are simply looking for the RSI value to be below 50. In a bear market we will want the RSI value to be below 10.

Our new bear market entry rules look like this:

  • Price must be below its 200-day moving average.
  • The RSI(2) of the market must be below 10.
  • The TRIN must close above 1.00 for three consecutive days.
  • Enter at Open of the next trading day.
  • Exit when RSI(2) of the market closes above 65.
  • Exit at the Close of the current trading day.
  • $25,000 starting equity.
  • No Stops.

Long/Short Equity Curve

Long/Short Performance

TRIN Performance

TRIN

Long/Short

Net Profit

$24,470

$44,140

Profit Factor

2.2

2.0

Total Trades

91

147

%Winners

76%

72%

Avg.Trade Net Profit

$268.90

$300.00

Annual Rate of Return

4.49%

6.70

Sharpe Ratio

0.24

0.19

Max Drawdown(Intraday)

$11,638

$11,638

In Summary

The trading concept presented in this article is a great example of using both a price based indicator along with a non-price based indicator as an entry signal. Please remember, as it stands now, this is not a complete trading system. For example, there are no stops or money management rules. However, it’s a great starting point from which you can build your own trading system.

Get The Book

Jeff Swanson

About the author

Jeff has built and traded automated trading systems for the futures markets since 2008. He is the creator of the online courses System Development Master Class and Alpha Compass. Jeff is also the founder of EasyLanguage Mastery - a website and mission to empower the EasyLanguage trader with the proper knowledge and tools to become a profitable trader.

  • Strategy’s weak points:

    1)low number of trades and thus miniscule return;

    2)TRIN is unique to broad market indices (NYSE, SPX, Dow), so you can’t neither diversify nor increase trade count.

    • Hello John. I would like to point out the text in the article, “Please remember, as it stands now, this is not a complete trading system. For example, there are no stops or money management rules. However, it’s a great starting point from which you can build your own trading system.” Furthermore, I also would like to point out that returns on any given system are controlled by the position sizing model one uses – not just the trading system. Dial-up the risk and your returned increases, often dramatically. Finally, you always can diversify. That’s done by trading a number of different systems on different markets across different timeframes. This is article is just one concept.

      • How big a position size should be to turn 6.7% into, say, 20%?

        You can’t diversify into markets with stock nomenclature substantially different from that of NYSE. That leaves you with the three I mentioned or their likes. Naturally, they are all highly correlated because of similar composition.

        • John, based on my calculations a 8.5% risk on a 25K account would put you around 21% annual rate. As before, diversification is done by trading a portfolio of trading systems across different markets.

          • Jeff, thanks for your prompt replies. You cleared my head on the subject.

            BTW, great job with this blog. Keep up the good work and thanks for the booklet on system development.

          • Hi Jeff,

            Could you please elaborate on your calculations, especially on how you assess trade’s risk in the absense of stops?

            What position size in equity percentage terms would 8.5% risk mean?

            I guess that would be very instructional for many.

          • Aya, when I don’t have a stop value on an example system, I used the average loss for all losing trades. If I remember correctly, that was around $1,000. If you are risking 8.5% on a $25,000 account this would mean we could risk up to $2,125 on the next trade (8.5% X $2500). Then, if the average losing trade is $1,000 this means we can trade 2 contracts ($2,500 / $1,000). You can find more information about position sizing in this article,Bulkowski Position Sizing and this article, Percent Risk and Volatility. Hope this helps!

  • Hi Jeff,

    I tested both sides of the system (long/short) from 1992 until now in excel. As to the long-side my findings are in accordance with yours, but as to the short-side they are clearly not. In my tests the expectancy per trade of the short-system is almost 0%. I double-checked everything. The result doesn’t change if I look at other test periods.

    Do you have an explanation for the dramatic difference?

    Thanks a lot!

    Best regards Oliver

    • Good question. I think it’s worth testing, that’s for sure. Generally these types of signals are less effective on smaller timeframes. However, I’ve not tested it myself. That would make for a good study for another article.

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