16 to 18 Jan 24 Practice Results and Summary of Current Strategy

Haven’t posted for some time. After practicing on the weekly charts last week, I went back to practice on Ford’s daily chart again.

Given the drastic difference between the profitability on the daily vs weekly charts, I wonder if the difference is because my chart reading skills have deteriorated. Fortunately, my results for the second practice session for Ford’s daily chart is similar to the previous practice session. Hence, the difference is truly because the characteristics of the two charts.

Next, I spent some time practicing on Apple’s (AAPL) daily chart. Here are the results:

Practice Date: 16 Jan 24

DateTradeQuantityEntryIndicator SLActual SLExitPercentage ProfitRemarks
24 Mar 10Buy18.211563557.877.879.03679241.60%
6 Oct 10Buy110.38918759.829.8211.02110.83%
26 Nov 10Buy111.320621510.8810.8811.3915.75%
4 Jan 11Buy111.85397511.4811.4812.1271.13%
7 Feb 11Buy112.444010511.9411.9412.6336.90%
18 Jan 12Buy115.289969514.9714.8312704217.45470.90%
22 Feb 12Buy118.479437517.4517.4518.7829.20%
14 Aug 12Buy122.612521.9721.93412523.73164.73%
14 Sep 12Buy124.641423.7323.7324.5307-12.15%
15 Jan 13Sell117.7148805191916.5292.98%
18 Apr 13Sell114.14710915.6415.6415.02-58.47%
27 Nov 13Buy119.243639518.4618.4619.9893.97%
6 May 14Buy121.571621520.4520.4520.8764-61.98%Stopped out by 22 cents, stock resumed uptrend
23 May 14Buy121.79885220.9820.9822.94139.36%
8 Jul 14Buy124.117487523.0223.0223.38-67.20%
28 Jul 14Buy124.5923523.1423.1424.16-29.77%
13 Nov 14Buy127.996787526.9526.9529.16111.12%
11 Feb 15Buy130.692529.5829.5832.01118.43%
12 Aug 15Sell128.190837529.54529.54528.05759.85%
31 Dec 15Sell126.320237528.8528.8525.1247.44%

Practice Date: 17 Jan 24

DateTradeQuantityEntryIndicator SLActual SLExitPercentage ProfitRemarks
28 Jan 16Sell123.21832525.1225.1224.23-53.20%
11 Oct 16Buy129.42528.1628.1628.93-39.13%
9 Jan 17Buy129.687728.928.79706934.65557.17%
20 Mar 17Buy135.363437534.2634.2634.93-39.28%
4 Apr 17Buy136.1900534.9334.9335.79-31.75%
2 May 17Buy136.98435.7935.7938.0891.79%
25 Jul 17Buy138.3005537.1737.151533537.22-94.04%
30 Oct 17Buy141.104538.7638.7642.9377.86%
22 Nov 17Buy143.64212542.142.142.69-61.74%
15 Dec 17Buy143.44112541.7941.7942.7-44.89%Stock gapped down
5 Feb 18Sell139.77542.5442.5440.93-41.77%
4 Jun 18Buy147.9146.5546.472747.84-4.87%
13 Sep 18Buy156.35537554.117554.117554.14-98.99%Stop loss was based on a recent low
22 Mar 19Buy149.327912545.9445.9446.18-92.92%Stopped out by a 3.5 cents, stock resumed upmove
18 Apr 19Buy151.09922549.0849.0850.58-25.71%
29 Jul 19Buy152.488637550.5550.5551.3825-57.06%Stock gapped down
22 Oct 19Buy160.548737558.0858.0860.45-4.00%
1 Nov 19Buy162.603962559.31559.31565.5388.97%Stop loss was based on bar low
26 Nov 19Buy166.9430565.5364.934758564.5775-117.79%Stock gapped down
16 Dec 19Buy169.2566.2366.2377.515273.68%Stock gapped down
29 Jan 20Buy181.112576.2276.2276.22-100.00%Stop loss was based on a recent low
19 May 20Buy179.52062575.4975.4994.09361.47%
21 Jul 20Buy198.992593.8893.8895.84-61.66%
19 Aug 20Buy1116.623215108.9108.9124.58103.02%
1 Dec 20Buy1121.57485112.59112.59120.89-7.62%Stop loss was based on a recent low
17 Dec 20Buy1128.5395120.89120.89124.13-57.64%Stopped out by a 68 cents, stock resumed upmove
28 Dec 20Buy1135.08205124.13124.13131.1-36.36%
22 Jul 21Buy1147.8355141.67141.67144.63-51.99%Stop loss was based on a recent low
16 Aug 21Buy1149.79525145.18145.18145.03-103.25%Stock gapped down, resumed uptrend
1 Sep 21Buy1154.25745146.78146.78153.09-15.61%
18 Nov 21Buy1155.775149.82149.82156.5312.68%Stopped out by 17 cents, stock resumed uptrend
1 Dec 21Buy1167.48156.53156.53170.729.41%
25 Apr 22Sell1160.6925171.27171.27147.36126.05%
3 Feb 23Buy1151.9359141.9141.9149.22-27.06%
28 Apr 23Buy1169.4028164.03164.03164.89-83.99%
19 May 23Buy1176.1162170.76170.76170.76-100.00%Stopped out by 24 cents, stock resumed uptrend
26 Jun 23Buy1187.98525182.02182.02188.9416.01%
19 Jul 23Buy1195.2916186.6186.6191.81-40.06%
8 Dec 23Buy1195.372188.57188.57191.72-53.69%

Profitability

Using an initial balance of $100,000, 5% risk per trade and strategy 4 for position sizing (ignoring number of days to exit as I was lazy to compute it), the final balance is $207,155.09 with a maximum drawdown of -16.20%.

Analysis

The above result is quite disappointing as Apple went from a starting price of about $7.5 in 2010 to a final price of $185.92 in end 2023, an increase of almost 25 times. Using a 5% risk per trade, I only managed to double the final balance.

The first practice session for AAPL covered the years from 2010 to end 2015; this practice session was quite profitable and I managed to catch a few good trends. In contrast, the second practice session that covered the years from 2016 to end 2023 was filled with frustrations. There were multiple times when I was stopped out by a few cents, only for the trend to resume. This happened at least 6 times, for trades that were entered on the following dates:

  • 6 May 14
  • 22 Mar 19
  • 17 Dec 20
  • 16 Aug 21
  • 18 Nov 21
  • 19 May 23

The following image shows a few of the examples. Each time, I entered above candle A and was stopped out at candle B:

Altering the Trailing Stop

In light of the above, I decided to test out two new stop loss strategies.

The first strategy is to use a ATR trailing stop. I used a 14 period ATR, with a multiple of 2.5 times. In addition, I exit based on the close, instead of the high or low. For instance, for buy orders, I exit only when the close is below the trailing stop, instead of the low being below it. The only exception is when the low dips below the initial stop loss.

With this exit strategy, I managed to reduce the number of trades from 59 to 39 and increase the final balance to $239,899.32. However, somewhat surprisingly, the maximum drawdown also increased to -23.60%.

Next, I tried a second strategy. This strategy is similar to the strategy that I have always being using, the main difference is that I exit based on the close, instead of the high or low. In addition, similar to the ATR exit strategy tested above, I exit if prices breach the initial stop loss.

With this second exit strategy, the results improved A LOT; I increased the final balance to $449,322.75, and reduced the maximum drawdown to -14.91%. I also reduced the number of trades from 59 to 45.

This is definitely encouraging. However, the exit strategy may work so well mainly because I was stopped out by a small amount quite a few times for AAPL. For other stocks, the improvement may not hold.

Will need to test this further. For the next stock, I’ll exit using the close, instead of the high or low.

Next Steps

Next, I’ll practice on META. I may also repeat the practice on MU and SWN, using the new entry and exit strategies.

Summary of Current Strategy

Entry Criteria

One of the key difference in terms of my entry strategy now is I use 3 moving averages (EMA 15, EMA 50 and EMA 150); I try to enter when the three EMAs are in the correct order and sloping correctly.

In addition, I focus on trying to identify the stage that the stock is in. Ideally, I want to enter in Stage 2 and 4. Stage 2 and 4 can start with moving average crossovers, or when a support/resistance/trendline is broken.

Entry is done with a buffer of 0.5%. In other words, for buy orders, enter 0.5% above the high of the signal bar. For sell orders, enter 0.5% below the low.

Caution

A lot of times, it is difficult to determine which stage a stock is in. When in doubt, the best is to stay out.

Also, it is harder to sell than to buy, as bearish actions are normally fast and furious and tend to be choppy. I tell myself that it is ok to avoid selling unless I am certain it is a Stage 4 trade and price action is relatively calm.

Last but not least, I try not to buy after the third pullback. For sell orders, I may not enter if price has already had a significant fall (e.g., a large bear candle, a big gap down). Bear trends tend to end faster.

Exit Criteria

For exit strategy, I’ll exit using the close instead of the high and low (except when prices breach the initial stop loss).

I’ll be very happy if I can improve on the previous MU and SWN results, either in terms of the final balance, or the maximum drawdown.


Comments

Leave a Reply

Your email address will not be published. Required fields are marked *