The Best Portfolio for Australia

The portfolio charts website, I wrote about before, now lets you do analysis using Australian assets, inflation etc! It turns out that the best portfolio for Australia isn't the same as the best for the US... The following table shows the average and standard deviation of real returns, the maximum drawdown, and the safe and permanent withdrawal rates (preserves capital) for a 30 year retirement horizon:

This is based on data since 1970. Based on the permanent withdrawal rate the Ivy Portfolio developed by Meb Faber is best. The 100% Aussie stocks portfolio (TSM) has a slightly higher return, but the lowest permanent withdrawal rate. So, I think Aussie investors should start to think about portfolio design from something similar to the Ivy Portfolio. It's no surprise that I have been a fan of Meb Faber and endowment style portfolios...

Using ETFs, this portfolio recommends putting 20% into each of Australian stocks, international stocks, intermediate term bonds, commodities, and REITs.

Using the build your own portfolio tool you can see what tweaking this beginning portfolio can do. For example, replacing half the commodities allocation with gold and half the bond allocation with extra international stocks, increases the return to 6.1% and the SWR and PWR to 5.2% and 4.4% with almost no increase in drawdowns.

Going to 60% stocks divided equally between Australia and the rest of the world and 10% in each of bonds, gold, commodities, and REITs, is actually quite similar in return profile to the Ivy Portfolio. The key thing is to hedge Australian stocks with international and real assets. This latter portfolio is probably going to tbe basis of my own new target portfolio.

Pulling the Plug on Short-Term Trading

I've decided to stop short-term trading. In recent months it hasn't made any money, it takes up a lot of time, and it gives me a lot of anxiety. Even though I am doing systematic trading I find myself looking at the market a lot and worrying about my positions. I can't seem to stop it. And my current position sizes are quite small. After a sleepless night, I've had enough. I already cancelled my orders that were waiting to execute. I will keep the existing Bitcoin and palladium positions until they exit naturally

Going forward, I will need to think about our overall financial plan again. Trend following funds aren't doing well in recent years, so we won't want to allocate that much to them compared to the current target allocation to "futures". What should we invest in instead? Should I still plan to set up an SMSF? I delayed that while I waited to see if trading was going to be a big part of it.

I've been here a couple of times before.

Trading Update

Well, that didn't last long. In November's report I said I would raise the risk allocation to palladium and soybeans. I just got stopped out of palladium futures though the contract is ending the day more or less where it began. I actually made a little money on the trade, but I'm not willing to take so much risk. So, I'm going to go back to trading palladium CFDs with a smaller amount of risk. I'll cut soybeans back to USD 2,500 risk as well. Yesterday, Bitcoin had a double stop out. First the long position was closed for a loss and a short opened and then the short was stopped out intraday. After all that, the contract ended near where it started:

I'm seriously thinking again of giving up on trading. Yes, you can make money doing this and I am now disciplined enough to always do the trades the algorithm says to do. But in practice there is still quite a lot of anxiety and mood swings. If I keep trading so small that I only make say a thousand dollars a month at it, it's not really worth the hassle. But if I make it big enough to make a difference I will have too much anxiety. That's the dilemma at this point. So far this financial year I am just losing money. I've given back all of last month's profit in the first week of this month.

November 2019 Report

A less frenetic month financially but somehow I didn't get to make any blogposts since October's monthly report. We started on refinancing our mortgage at a lower interest rate, but the transaction is not yet complete.
 
The Australian Dollar fell from USD 0.6894 to USD 0.6764. The MSCI World Index rose 2.48% and the S&P 500 3.63%. The ASX 200 gained 3.51%. All these are total returns including dividends. We gained 2.17% in Australian Dollar terms but only 0.25% in US Dollar terms. The target portfolio is expected to have gained 1.53% in Australian Dollar terms and the HFRI hedge fund index is expected to have gained 0.75% in US Dollar terms. So, we out-performed our target portfolio but lagged other benchmarks. Updating the monthly AUD returns chart:

Here is a report on the performance of investments by asset class (futures includes managed futures and futures trading):

Stocks and real estate did well while hedge funds, private equity, and gold did poorly. The largest positive contribution to the rate of return came from large cap Australian stocks and the greatest detractor was gold. The returns reported here are in currency neutral terms.

Things that worked well this month:

• The Unisuper superannuation fund gained more than any other investment in dollar terms.
• Soybeans and Bitcoin were the next best  performers.

What really didn't work:

• Crude oil and gold lost heavily.
• Regal Funds (RF1.AX) fell sharply after it was reported that the firm was under investigation by the regulator, ASIC.

Trading:  The month started with two losing Bitcoin trades but then a big winning trade and we ended the month positive in Bitcoin with a USD 6.1k gain. We also did well in soybeans, shorting four contracts (more than 500 tonnes of soybeans...). The trade is still open and up USD 6.5k. On the other hand, we lost a lot in crude oil, which had six losing trades in a row and more than cancelled out the gains in soybeans.

Using a narrower definition including only futures and CFDs we made 3.55% on capital used in trading or USD 6.5k. Including ETFs we lost just 0.01% or AUD 46. Using the narrow definition, we are catching up to last year's returns. This graph shows cumulative trading gains using the narrower definition year to date:

I think I should increase the risk allocations to soybeans and palladium to USD 5,000 each from USD 2,500 and AUD 1,250 currently. These would be roughly the allocations suggested by the portfolio optimization given current allocations to Bitcoin and oil (USD 3,670 and 2,500). Risk allocation is the maximum potential loss on a single trade.

We moved further towards our new long-run asset allocation.

Futures, bonds, and gold fell and all other asset classes increased their shares.

On a regular basis, we invest AUD 2k monthly in a set of managed funds, and there are also retirement contributions. Other moves this month:

• I rebought 100,000 shares of Domacom (DCL.AX).
• I bought 10,000 shares of Regal Funds (RF1.AX) after the price fell sharply following an ASIC investigation of the firm.
• USD 100k of bonds (Virgin Australia & Viacom) matured. I bought USD 25k of Dell,  16k of Nustar, and 25k of Tupperware bonds. So our direct exposure to corporate bonds fell by USD 34k.
• I transferred AUD 45k to my Colonial First State superannuation account, investing in the Conservative Fund.
• I bought around AUD 43k and GBP 7k, selling US dollars.
• I bought 750 shares of 3i.

Performance of Optimal Portfolio

The graph shows the monthly profits from idealized trading of an optimal portfolio of Bitcoin, palladium, crude oil, and soybeans futures. The risk budget is the maximum loss possible in one day under ideal conditions.

My results this year somewhat track these. My trading hasn't always been ideal, I have been developing my methods, and my portfolio doesn't have the optimal weights yet. Midyear there were strong returns available and I also did well. Then, in the last four months returns were lower or negative and I also lost money. November was again a good month though not as good as April-June.

Next month I am looking to move closer to the optimal weights and increase the risk budget so that the average return would in theory be around the same amount as my salary, which is one of the goals I have set.

PAYG Installments

I received a letter from the Australian Tax Office that I need to pay quarterly estimated tax payments. However, if the total estimated tax is less than AUD 8,000 you can pay the installments annually. If you self-prepare your tax this means apparently that you don't actually need to pay any installments. So, I selected that option online.

On the other hand, I think Moominmama is going to need to make quarterly payments.

October 2019 Report

This month we "inverted" our mortgage, paying off the mortgage and then redrawing it for investment purposes. As a result the mortgage interest should now be tax deductible. I carried out quite a lot of trades and money shuffling to carry this out.

The Australian stockmarket fell a bit in October and the Australian Dollar rose, but overseas markets rose. The Australian Dollar rose from USD 0.6752 to USD 0.6894. The MSCI World Index rose 2.76% and the S&P 500 2.17%. The ASX 200 fell 0.35%. All these are total returns including dividends. We lost 0.20% in Australian Dollar terms but gained 1.90% in US Dollar terms. The target portfolio lost 1.03% in Australian Dollar terms and the HFRI hedge fund index is expected to have gained 0.83% in US Dollar terms. So, we out-performed our target portfolio, the HFRI, and the ASX, while underperforming compared to the MSCI World Index and the S&P 500 (a bit). Updating the monthly AUD returns chart:

Hmmm... It is looking like my performance is an average of the MSCI and the target portfolio in recent months.

Here is a report on the performance of investments by asset class (futures includes managed futures and futures trading):

Private equity, real estate, and gold did well while hedge funds and futures did poorly. The largest positive contribution to the rate of return came from private equity and greatest detractors were futures and hedge funds. The returns reported here are in currency neutral terms.

Things that worked well this month:

• Pengana Private Equity and Bluesky Alternatives did very well, gaining AUD 8.7k and AUD 10k, respectively. Hearts and Minds gained AUD 5.3k.
• Gold gained (AUD 7.3k).

What really didn't work:

• Winton Global Alpha lost significantly, reversing recent gains.
• Pershing Square, Cadence Capital, and Tribeca Natural Resources all lost money.

Trading: We started the month closing a winning trade in Bitcoin, but then there were six losing trades in a row before a winner. We also lost money trading palladium. Using a narrower definition including only futures and CFDs we lost 0.96% on capital used in trading. Including ETFs we gained 0.89%. Using the narrow definition, we are now behind where we were at this point last year. This graph shows cumulative trading gains using the broader definition year to date:

Using this definition we are still ahead of where we were at this time last year.

We moved further towards our new long-run asset allocation.

The table shows how leverage increased this month as we moved the mortgage into the investment portfolio. Cash and bonds fell and all other asset classes increased their shares.

On a regular basis, we invest AUD 2k monthly in a set of managed funds, and there are also retirement contributions. Other moves this month:

• USD 21K of Kraft-Heinz bonds were called early and we didn't buy any new bonds So, our direct bond holdings declined by USD 21k.
• We traded at a small loss, as discussed above.
• I sold 100k of Domacom (DCL.AX), 40k of Tribeca Global Natural Resources (TGF.AX), and 79k of Cadence Capital (CDM.AX) shares to harvest tax losses and obtain cash for the mortgage inversion. I subsequently bought back 40k of Tribeca and 80k of Cadence. I now have the funds which are marginable and/or are likely to pay large franking credits in my account and the non-marginable funds, which mostly also are likely to pay out fewer franking credits in Snork Maiden's account. As franking credits are applied to the tax bill it doesn't actually matter which account they are in, but I like to see my larger tax bill cut more :) I have a margin account with Commonwealth Securities, while Interactive Brokers don't offer margin loans to Australian customers.
• I bought 20k shares of Hearts and Minds (HM1.AX) before the upcoming annual Sohn Conference. The fund is currently winding down the investments in the stocks recommended at the last conference and will invest in new recommendations following this year's conference. The share price is very close to NAV and I think following the conference there could be a boost in price. The fund has done very well since inception.
• I went to Regal Fund's presentation here and was impressed and bought 20k more shares of RF1.AX.
• I sold 50k of Pengana Private Equity (PE1.AX) shares because the price seemed unsustainably high but then bought back 50k at lower prices. This is not looking like a good move given the tax implications
• We bought AUD 40k of Australian Dollars.
• We moved around AUD 1/4 million to our offset account and paid off the mortgage. We then redrew AUD 1/2 million and sent it to my CommSec account and Moominmama's Interactive Brokers account. This reduced my margin loan a lot and increased the cash in her account a lot. The latter is deemed to be "futures" in the pie chart above. Cash in our offset account fell to AUD 40k.

Passed-in at Auction

There was an auction today for the house next door to us. It is almost identical though it is in better condition inside (our house will probably need AUD10-20k of refurbishment to put on the market I reckon). It doesn't have as good views/surroundings. The highest bid was AUD 690k from a bidder in another state on the phone and it passed in. Unless there was a post-auction negotiation, I guess we will see it on the market next week at a fixed price. Next week we should also hear from HSBC on how much their valuer values our house at.

P.S. 7 November 
This house is now for sale at $829,500. In the meantime, the bank's valuer valued our house at $850,000. I guess they want to sell fast.

Mortgage Refinancing: Reality Check

I met today with a "Premier Relationship Manager" at HSBC. We are going ahead with the mortgage refinancing. They will send a valuer to value our house tomorrow...

So, she first checked whether I could service the loan based on the data I submitted. Based on just my salary of AUD 176k per year and our spending and a AUD 500k loan the answer was no. Given my salary is supposedly in the top 5% or higher, our house value is only a bit above the median price for houses here, and lots of people drive luxury cars etc. and we don't, you'd think this wouldn't be a problem. She said our spending was "very high". Either government income data is too low (but the banks ask for tax returns), or people somehow hide spending from the banks (but the banks ask for bank statements), or what? It's hard to reconcile what I see with the data.

Our net worth is in the top 300,000 or so of households and my income in the top 400,000 of taxpayers according to this official data.

By the way, five plus years ago, when we were looking to buy a house, the banks were willing to lend us much more money. Lending standards really have tightened.

Capitalise

Capitalise is an automated trading platform that uses commands written in near natural English at a very high level. I heard about it when Interactive Brokers told us that we now have access to it. At the moment the service is free. You can put in commands where buy/sell levels and stops depend on functions of past prices and also various technical indicators. There is no need to learn a formal programming language like Python or understand any of the intricacies of actually executing strategies. They are based in Israel.

This would be great for me except at the moment it doesn't allow position sizing based on functions of prices. You have to give it a numerical position size. I chatted with Arica on their platform and she said that they might develop that functionality in the future. For now I can handle updating my orders each morning (Australian time) as I am only systematically trading in 3 markets (Bitcoin, palladium, and oil). Maybe they will have this functionality by the time I can't handle trading manually anymore and I won't need to learn Python etc or collaborate with someone who does know that stuff.

Mortgage Inversion Complete, What Next?

I completed the transfer of money into our brokerage accounts from the "mortgage inversion".  That completes a major step in our financial restructuring since the inheritance. We've completed the first two steps on this list. I am thinking of refinancing our mortgage to get a lower interest rate now I don't care about having an offset account with my main bank. But how to go about this? Should I go to a mortgage broker or just contact a bank, like HSBC, who are offering a low rate?

Silver, Six Losing Bitcoin Trades in a Row...

I tested silver futures as a possible addition to the trading portfolio. When combined with Bitcoin, palladium, and crude oil its optimal portfolio weight was 2%. So, I'm not going to be trading that.

Overnight and in today action in Bitcoin has been insane. I was up around USD 5k on my last Bitcoin trade and then it became a USD 1k losing trade, the sixth in a row. We switched to long from short and subsequently bitcoin skyrocketed to over 10,000 from around 7,500. This long trade is only one contract though compared with two contracts on the previous short. It seems like this spike might have been generated by Xi Jinping's new enthusiasm for blockchain. He told party members to study blockchain. This is despite China banning cryptocurrency exchanges, though a lot of Bitcoin mining takes place in China.

Five Losing Bitcoin Trades in a Row

The bad news is that the worst historical losing run in Bitcoin is eleven losing trades in a row. The good news is that least we now have the losses more under control after adopting position sizing and a constant (more or less as we use rounding of contract numbers) maximum dollar risk. I am also now 100% disciplined in following the algorithms. That was a big struggle. We are now back to short again.

Without slippage the previous trade would have been a $120 win. We had a $30 loss. The last trade though was a $2,000 loss when rounded up to two contracts.

Mortgage Redrawn

Just enter the amount, press the button, and:

Now to transfer the money to investment. This is how I account for this re-structure:

Almost all our historical savings from wages etc ("current savings") have now been converted into housing equity and extra retirement contributions. Housing equity is now a few hundred dollars short of the value of the house as I left a small amount of the mortgage unpaid in order not to potentially trigger something undesirable by totally paying it off.

Mortgage Almost Paid Off

It won't be for long!

Trading and Mortgage Inversion Update

We switched from short one contract of Bitcoin to long two this morning, booking a USD 30 loss on the short trade. We are long two as the per contract risk is lower now. After four losing Bitcoin trades, hopefully this is a winning one...

I sold a lot of shares this morning and already was allowed to move some of the proceeds to our offset account. I also paid down AUD 100k of the mortgage and was surprised to see that I could redraw it immediately. I had thought I would need to wait to 4th November for the redraw balance to update. This means that I might be able to complete the inversion this week.

P.S.

So I paid off another AUD 300k later in the day. Am still waiting on a transfer of AUD 100k from my margin loan. When I get it I should be able to complete the "inversion".

Optimizing Trading Portfolios and Shifting to Return on Risk Metric

I started exploring testing portfolios of trading strategies. For this, I decided that in looking at return on capital where capital is the face value of a futures contract doesn't make much sense. It seems to make more sense to look at the return on money at risk. It makes the most sense to measure that in dollars as a share of a total risk budget. This then leads me to making the primary measure of return also to be in dollars. Here is an optimized portfolio of Bitcoin, oil, and palladium:

The portfolio has a total risk budget of USD 5,000. This is then allocated across the three markets with the resulting profit curves. The analysis assumes that you can trade fractional futures contracts. Oil and palladium help diversify Bitcoin and increase the information ratio. Using a zero benchmark and daily returns on risk the portfolio IR is 2.96 rising from 2.17 for Bitcoin alone.

Oil hasn't gone anywhere in the last year, but did well in 2018 when Bitcoin struggled. Going forward, I will test whether each new market I look at improves the portfolio IR or not.

This approach then also leads to computing the prices for continuous futures contracts additively rather than multiplicatively – so that differences in dollars are preserved -– and to focusing on a constant risk budget in dollars. It also allowed me to simplify the back-testing program quite a bit. In the following chart the blue line is the daily profit curve for trading one contract of Bitcoin futures:

The red curve is based on completed trades only. The green curve has a constant dollar risk equal to the average of the single contract. To be more realistic I have rounded the number of contracts to the nearest whole number, which could be zero. This keeps the strategy out of the market in late 2017 and early 2018, when the single contract strategy had a big drawdown. The constant risk strategy has a higher return and a smaller maximum drawdown than trading a single contract. So, this is the strategy I am adopting for Bitcoin going forward. This morning, we switched from one contract long to one contract short...

2018-19 Income and Spending Breakdown

After doing our tax returns I can now report the breakdown of income and spending for the 2018-19 financial year, following up on the breakdown for 2017-18:

On the right there is a breakdown of some of the larger categories into sub-categories. Unlike some bloggers I can't say what we spend on food, or clothes etc. I just know how much we spend at different sorts of retail outlets.

One of the biggest changes from last year is the reduction in cash spending from 13% to 3.5% as we started to use credit and debit cards more to track our spending better. Restaurants is up as former cash spending was converted to spending using cards. Other major changes are:

• An increase in health spending from 7% to 16% due mainly to costs of pregnancy/childbirth. 
• A major increase in housing spending from 16% to 26% as we undertook renovation work and paid more mortgage interest due to having less money in our offset account.
• A major reduction in travel from 14% to 3% as we only went on a trip to Sydney this year instead of to Europe and Japan.

These trends all continued in the first quarter of this financial year, just completed.

Income was up strongly on the previous year, mainly due to futures trading. As a result, taxes were also up strongly to over AUD 100k. OTOH total spending and saving also rose strongly. Note that "current saving" here is much higher than my usual definition of saving, which only includes saving from salaries and similar income. Here, total income includes investment income and so saving is correspondingly higher.

Planning the Mortgage Inversion

I first wrote about this four years ago. I realized today that I could actually pull this off next month. At this point, I have close to AUD 300k in our bank account (which is an offset account). The mortgage is AUD 490k. If I sell some shares, which are currently in the red, like Tribeca Global Resources, realizing capital losses and transfer some Australian dollars from Interactive Brokers I can reach half a million dollars in our bank account. The amount of cash that can be redrawn is only updated on the 4th of the month, so I will wait to a little later this month to sell the shares and transfer the cash and pay off almost all the mortgage. Then in early November I will redraw the cash and transfer it to our brokers. As the mortgage is in both our names, I will transfer the money 50/50 to accounts in each of our names. After that, almost all of our mortgage interest should be tax-deductible. Of course, I could just pay off the mortgage. But the interest rate for a home equity loan is higher than for an owner occupier mortgage and am happy to have debt at relatively low interest rates and invest it in stuff that hopefully will pay a higher return.

2018-19 Taxes

Here are my taxes for another year:

On the income side, Australian dividends, capital gains, and foreign source income are all up strongly. I finally ran out of past capital gains tax losses and so recorded a net capital gain for the first time in a decade. Foreign source income is mostly from futures trading and bond interest. My salary still dominates my income sources. As far as replacing salary with other income goes, you need to consider the joint picture with Moominmama's tax return below and the earnings of our superannuation accounts...

Increased deductions are mostly due to increased margin loan interest.

Franking credits (from Australian dividends), foreign tax paid, and the Early Stage Venture Capital (ESVCLP) offset are all deducted from gross tax to arrive at the tax assessment. Unlike in the past, I expect to pay a lot of extra tax.

Gross cash income deducts franking credits and adds the long-term capital gains discount to gross income. The former aren't paid out as cash and the latter are but aren't included in taxable income.
Net after tax cash income then deducts tax and deductions from gross cash income.

Moominmama's (formerly Snork Maiden) taxes follow:

Here there is more dramatic change. Salary was up further in the bounce back from maternity leave and in preparation for the second maternity leave now in progress. Foreign source income was up dramatically due to futures trading. We do more of our trading in this lower taxed account.

Work related travel expenses were down to almost nothing, as the tax year started during our last big trip to conferences etc. I haven't yet managed to do the mortgage inversion that should increase deductions and so deductions are down.

As a result, income and taxes were up dramatically and we will owe a lot of tax. I expect we will have to start making quarterly tax payments from now on.

Trading Progress

I've now tested Bitcoin, ASX200, palladium, and crude oil futures trading using Barchart data. So far, only ASX200 futures were not profitable. I'm now trading one contract long or short of Bitcoin futures, trading palladium with position sizing using CFDs, and have put in an order to short crude oil futures.

With palladium I am aiming to risk about 10% of the CFD account on each trade. My current position is long 10 ounces of palladium and I have an order to short 20 ounces of palladium. The typical risk for trading a 100 ounce palladium futures contract is too big at this stage. The contract face value is around USD 160k. So, even if the stop is 5% from the current price you are risking USD 8000.

On the other hand, a crude oil contract has a face value of around USD 50k (1000 barrels of oil). I am targeting 5% of the face value as the risk we can take on. To compute the number of contracts we can trade we calculate: 0.05*price/abs(price-stop) and round it up or down to the nearest integer. If that is zero then we don't put an order in. This is why I only have a short order at the moment and no order to go long.

Both oil and palladium have longer optimal periods for measuring breakouts against than Bitcoin does. My palladium strategy looks for breakouts from the last seven days of prices in either direction. My oil strategy uses breakouts from the last eleven days. However, it will exit a long (short) position if the price falls below (rises above) the previous day's low (high).

Palladium has about the same risk/return trade off as Bitcoin, but oil isn't as good a risk/return ratio. Here are the average maximum potential loss and the average trade profit for trading with a single contract:

Bitcoin: Risk =  USD 3,722, profit = USD 1,036, ratio = 0.28
Palladium: Risk = USD 4,910, profit = USD 1.462, ratio = 0.30
Crude oil: Risk = USD 2,030, profit =  USD 225, ratio = 0.11

Compared to face value of the contract, the average Bitcoin profit is a 2.7% return, while for palladium and oil it is 0.9% and 0.4%, respectively. Relative to required margin, though, Bitcoin is not so good compared to the others.

The reason for trading all three of them at this stage is for diversification. I want to have more consistent returns rather than boom and bust. That's why I am still allocating the largest amount of risk to Bitcoin. I also still have a treasuries futures trade on and am long more than 100 ounces of gold via the IAU ETF.

At this point, I think I got beyond the experimental stage of trading and am now in a more developmental period. My backtesting programs work pretty well, I have good quality data, am more used to trading in a disciplined way, and am now testing which markets and position sizes make most sense.

September 2019 Report

In September the Australian Dollar fell from USD 0.6729 to USD 0.6752. The MSCI World Index rose 2.15% and the S&P 500 1.87%. The ASX 200 rose 2.08%. All these are total returns including dividends. We gained 0.52% in Australian Dollar terms and 0.87% in US Dollar terms. The target portfolio lost 0.28% in Australian Dollar terms and the HFRI hedge fund index lost 0.27% in US Dollar terms. So, though we under-performed all three stock indices we out-performed our target portfolio and the HFRI. Updating the monthly returns chart:

Here is a report on the performance of investments by asset class (futures includes managed futures and futures trading):

Private equity and hedge funds did very well while gold and futures did poorly. The largest positive contribution to the rate of return came from hedge funds greatest detractor was gold, which was the exact reverse of the previous month. The returns reported here are in currency neutral terms.

Things that worked well this month:

• Hedge funds shined as Platinum Capital, Regal, and Cadence gained significantly but Tribeca lost more money.
• Pengana Private Equity gained.

What really didn't work:

• Gold and Winton Global Alpha lost significantly, partly reversing recent gains.
• Tribeca lost as noted above.

Trading: We gained modestly in Bitcoin and US treasuries futures and lost moderately in Palladium and big time in gold. Using a narrower definition including only futures and CFDs we gained 0.48% on capital used in trading. Including ETFs we lost 1.53%. Using both definitions we are a bit ahead of where we were at this point last year. This graph shows cumulative trading gains year to date:

The picture is better using the broader definition.

We moved a further towards our new long-run asset allocation.* Cash increased most and private equity and bonds decreased most as we received the proceeds from the IPE.AX delisting:

On a regular basis, we also invest AUD 2k monthly in a set of managed funds, and there are also retirement contributions. Then there are distributions from funds, dividends, and interest. Other moves this month:

• We sold $50k of Tenet Health Care bonds when they were called and $50k of Discovery Bonds matured. We bought $50k of HSBC bonds So, our direct bond holdings declined by $50k.
• We traded with moderate success, as discussed above.
• I bought a small number of Platinum Capital shares as their price was a lot below net asset value.
• We started buying Australian Dollars again, buying AUD 20k this month.
• We received the proceeds from the delisting of Oceania Capital.
• As a result of all this our cash holdings increased by around AUD 120k.

* Total leverage includes borrowing inside leveraged (geared) mutual (managed) funds. The allocation is according to total assets including the true exposure in leveraged funds. We currently don't have any leveraged funds.

ASX200 Futures

I put together a dataset for the ASX 200 futures for the past 5 years - Barchart have this data. Every possible "Turtle" strategy I tested lost money. So, we're definitely not going to trade this! I tested breakouts from 1 to 40 day periods and they all have similar poor performance. Position sizing to always trade the same percentage risk made things much worse.

Here is a 2,2 strategy without position sizing assuming no slippage – The best case scenario:

The blue line is the continuous futures contract price I constructed and black is the equity line of the strategy. This actually makes a slight gain over the 1200 trading days. But including reasonable slippage, it will turn into a loss. A 2,2 strategy means that you buy or sell breakouts from the previous two days highs or lows and exit those positions on breakouts from the same number of trading days in the opposite direction.

I have now put on a small (10 ounce) Palladium trade using CFDs. I'll probably test trading oil next.

Data Quality Matters

I did an analysis of the optimal trading strategy for Palladium futures using Barchart data. Previously, using free data, I had found that we should make trading decisions based on very short periods of past prices. For example we might go long (short) if prices broke out above (below) the previous day's high (low), or maybe the high or low of the previous two days. Now I find that the optimal strategies use periods of 7 to 18 days for breakouts. This shows that using good quality data really matters in trading, and not just a little bit. Using one day breakouts would actually lose money over the last five years of data that I tested. I lost money on all the Palladium trades I previously made... though four trades is not a large sample.

At the moment Palladium is in a winning long trade, but I am reluctant to go long at this point. So, I put in a short trade which will activate if the market reverses.

I also found out today that Barchart has past ASX 200 futures prices. I don't know if these are as high quality as their US futures data.  I will download them next.

Variable Position Size, Again

I signed up for the Barchart Premier subscription. Among other things, this gives access to daily open, high, low, close etc. data for all US based futures contracts back to 2000. The data seems to be much more accurate than the various free sources. To start with, I downloaded all Bitcoin futures contracts data. I constructed a continuous series of prices going back to the beginning of trading in Bitcoin futures. I use proportional splicing that preserves percentage changes rather than absolute dollar changes. I also saved the actual futures prices for computing trading costs.

When we include the very volatile period right after the all time high in Bitcoin, the optimal trading strategy changes:

This graph shows the drawdown for a simple strategy that always buys the same number of contracts (in red) with a strategy that always has the same initial risk in percentage terms (in green). The latter targets a constant maximum 5% potential loss of the face value of the Bitcoin contracts before stopping out. The simple strategy soon finds itself 40% down at the end of January 2018. On the other hand, it manages to claw back that loss by late March... The constant risk strategy only loses a maximum of 15% over this period. On the other hand it performed worse during the string of 11 losing trades in a row in late 2018. But the Sharpe ratio for the constant risk strategy (2.45) is quite a lot higher than for the constant position size strategy (2.21). So, I am going to start varying position size, targeting a maximum loss of USD 5,000.

I will also start to revisit other markets to see where there is potential.

Previously, I found that there was a positive relationship between the initial risk of a trade and its return. When volatility is low moves seem to be more noise than signal. Looking at the relationship between initial risk and return, there is now a negative correlation between them, though it isn't statistically significant:

On the other hand,  the "lowest risk" trades here mostly had negative outcomes.