Tomas Capital Pty Ltd : GCAF | AUD (managed by Tomas Capital Australia Pty Ltd)

Year-to-Date
6.81%
Aug Performance
5.82%
Min Investment
$(AUD) 50k
Mgmt. Fee
2.00%
Perf. Fee
20.00%
Annualized Vol
26.64%
Sharpe (RFR=1%)
0.12
CAROR
0.86%
Assets
$(AUD) 1.0M
Worst DD
-61.83
S&P Correlation
-0.03

Growth of 1,000 - VAMI

Monthly Performance

Export Data
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD DD

Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial.

Period Returns

Program / Index Aug Qtr YTD 1yr 3yr 5yr 10yr Since
7/2011
GCAF | AUD (managed by Tomas Capital Australia Pty Ltd) 5.82 12.32 6.81 -13.79 -22.78 -13.33 - 7.26
S&P 500 -1.81 6.34 16.73 0.85 33.43 44.59 - 124.12
+/- S&P 500 7.63 5.98 -9.92 -14.64 -56.20 -57.92 - -116.87

Strategy Description

Summary

Antifragile
"Some things benefit from shocks; they thrive and grow when exposed to volatility, randomness, disorder, and stressors and love adventure, risk, and uncertainty. Yet, in spite of the ubiquity of the phenomenon, there is no word for the exact opposite of fragile.... Read More

Account & Fees

Type
Fund
Minimum Investment
$(AUD) 50k
Trading Level Incremental Increase
$(AUD) 10k
CTA Max Funding Factor
Management Fee
2.00%
Performance Fee
20.00%
Average Commission
$0
Available to US Investors
No

Subscriptions

High Water Mark
Yes
Subscription Frequency
Redemption Frequency
Investor Requirements
Accredited Investors
Lock-up Period
0

Trading

Trading Frequency
1755 RT/YR/$M
Avg. Margin-to-Equity
20%
Targeted Worst DD
Worst Peak-to-Trough
-41.84%
Sector Focus
Diversified Traders

Holding Periods

Over 12 Months
0%
4-12 Months
0%
1-3 Months
0%
1-30 Days
0%
Intraday
0%

Decision-Making

Discretionary
0%
Systematic
100.00%

Strategy

Option-purchasing
1.00%
Trend-following
99.00%
Strategy Pie Chart

Composition

Currency Futures
24.00%
Interest Rates
22.00%
Stock Indices
17.00%
Softs
9.00%
Grains
8.00%
Energy
6.00%
VIX
4.00%
Industrial Metals
3.00%
Other
3.00%
Precious Metals
2.00%
Livestock
2.00%
Composition Pie Chart

Summary

Antifragile
"Some things benefit from shocks; they thrive and grow when exposed to volatility, randomness, disorder, and stressors and love adventure, risk, and uncertainty. Yet, in spite of the ubiquity of the phenomenon, there is no word for the exact opposite of fragile. Let us call it antifragile. Antifragility is beyond resilience or robustness. The resilient resists shocks and stays the same; the antifragile gets better." Nassim Nicholas Taleb (2012). Antifragile: Things That Gain from Disorder. Random House. p. 3.

Antifragile Market Hypothesis
We reject the Efficient Market Hypothesis and all market theories whose foundation rests upon the concept of value or other unobservables. ​ Prices are set by the interactions of people seeking an edge over one another. Trading profits are redistributed from those without an edge to those operating with an edge. Most edges are transient or fragile, whereas a small class are timeless or antifragile. The underlying process driving prices reflects the interplay between these opposing classes of edge. ​

To gain an edge, we must separate ourselves from the majority. To achieve this, we must engage in an activity the majority is unable to do or we must engage in an activity the majority is unwilling to do: there is a dichotomy in the source of edges that we refer to as the willingness dichotomy. Edges sourced via activities the majority are unable to do require superior speed, technology, knowledge or information and persist with help from barriers to entry and privacy; these intellectual edges are latently fragile. Edges sourced through activities the majority is unwilling to do exist within the public domain and do not rely on barriers to entry to persist; they are psychological edges and must, by virtue of their persistence, be antifragile. ​

The competition for intellectual edges is fierce. Intellectual edges degrade and eventually dissipate as the competition for them heats up. New intellectual edges emerge as people evolve and improve on one or many of their barriers to entry; these new edges in turn degrade and the process repeats. This accounts for the observation that markets are very nearly efficient. A person who enjoys profits from a prevailing intellectual edge is not guaranteed to enjoy these profits over the long run; their continued success is contingent upon their ability to evolve their activities in the direction of new intellectual edges. ​

The competition for psychological edges is comparatively low: the unwillingness of the majority to engage in the activities necessary creates the primary barrier to entry. The majority seeks stable and consistent returns that are psychologically rewarding. Given this, all psychological edges must produce psychologically difficult return distributions, that include the potential for long periods of underperformance punctuated by shorter periods of superperformance. A person who is willing to embrace an edge with a psychologically difficult return distribution has the potential to enjoy profits over the long run.

Antifragile Strategy
We apply the concept of antifragility to our selection of trading strategy, and its application. ​

Antifragile trading strategies exhibit the following characteristics: ​

1. They extract profits from timeless market phenomena that are self-evident to the general public and have been so for many years.
2. They necessitate a long-term investment horizon that produces a lumpy distribution of returns, with a high positive skew.
3. They benefit from volatility, variability, divergence and uncertainty.
4. They require a systematic application of reactive position taking and risk management, with no attempt to predict market outcomes. ​

We assert that, consistent with the Antifragile Market Hypothesis, the existence of long-term price trends occurring within all markets is self-evident and timeless market phenomena, presenting all the hallmarks of an antifragile edge. Any trading strategy that seeks to profit by exploiting the phenomenon is necessarily antifragile and will exhibit the above characteristics. ​

The GCAF Program seeks to compound capital by capturing long-term price trends that are evident within all markets from time to time. In application, the program seeks to push the boundaries of antifragility to ensure compounding longevity.

Investment Strategy

Conceptually Antifragile
The GCAF Program seeks to profit from price trends occurring in global markets via an algorithmically simple long-term trend following system applied to a large universe of futures contracts: we trade simply and broadly. Our core trading logic and the equity curve it generates, is ugly by design: we are unabashedly exposed to the potential for long periods of underperformance punctuated by shorter periods of superperformance. ​

Four conceptual features push the GCAF Program in the direction of antifragility and differentiate us from others competing within the managed futures space: ​

1. We target trends occurring in longer timeframes and as a consequence do not periodically change or evolve the core trading logic that underpins the GCAF Program.​
2. We trade a large universe of futures contracts representing all major asset classes, exchanges and geographic regions; and at times we take on many simultaneous positions.
3. We manage the majority of all risk exposure at the individual trade level, allowing for dynamic inter-market correlations, rather than attempting to predict how markets may relate to one another.
4. We monitor global gap risk (the risk that several markets simultaneously gap beyond our predefined stoplosses) and engage systematic tail risk hedging when the risk exceeds specified limits.

Risk Management

Antifragile Risk Management
Risk management is intrinsic to the GCAF Program. ​

The program monitors and trades a large universe of futures contracts in an attempt to capture price trends as often as possible. Whilst our approach tends to offer significant diversification to multiple asset classes and fundamental drivers, we do not rely upon diversification as a risk management tool. We believe that diversification is fragile, and a reliance on it to manage risk is illusory as correlations often change and can move in unison during global events.

We focus the majority of our risk management practices at the individual trade level, allowing for the worse-case scenario that we derive no benefit from diversification. All individual trades signaled and executed represent a small fraction of the total capital managed, are sized in relation to the prevailing volatility and liquidity environment, and are always covered by trailing stoploss orders. ​

At times, the program takes on many simultaneous positions and this can increase our exposure to global gap risk (the risk that several markets simultaneously gap beyond our predefined stoplosses). When this risk exceeds specified limits we engage systematic tail risk hedging, that is comprised of out-of-the-money option contracts, until the current holding of positions returns within tolerable limits. This feature of the GCAF Program is the subject of continued research and in time may become an additional source of alpha as we continue to push the program further in the direction of antifragility.

   

Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial.

Reward
Average RoR:
Max Gain:
Gain Frequency:
Average Gain:
Gain Deviation:
Risk
Standard Deviation:
Worst Loss:
Loss Frequency:
Average Loss:
Loss Deviation:
Reward/Risk
Sharpe Ratio: (RF=1%)
Skewness:
Kurtosis:
Reward
Compound RoR:
Average RoR:
Max Gain:
Gain Frequency:
Average Gain:
Gain Deviation:
Risk
Standard Deviation:
Worst Loss:
Loss Frequency:
Average Loss:
Loss Deviation:
Reward/Risk
Sharpe Ratio: (RF=1%)
Skewness:
Kurtosis:

Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial.

Note: Figures shown in the Monthly column are the greatest figures (or worst for losses/drawdowns) for any particular month. The Annual figures are the greatest for any calendar year.

Drawdown Report

Depth Length (Mos.) Recovery (Mos.) Peak Valley
-61.83 47 - 3/1/2015 2/1/2019
-23.15 26 9 7/1/2011 9/1/2013
-6.43 1 1 9/1/2014 10/1/2014
-1.08 1 1 1/1/2015 2/1/2015
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Consecutive Gains

Run-up Length (Mos.) Start End
73.31 3 11/1/2014 1/1/2015
61.49 9 1/1/2014 9/1/2014
23.52 2 3/1/2019 4/1/2019
17.30 2 7/1/2018 8/1/2018
15.84 2 1/1/2016 2/1/2016
13.12 1 10/1/2017 10/1/2017
12.32 3 6/1/2019 8/1/2019
11.98 2 6/1/2016 7/1/2016
7.67 2 12/1/2017 1/1/2018
7.44 3 11/1/2012 1/1/2013
6.56 1 11/1/2015 11/1/2015
6.38 1 7/1/2017 7/1/2017
6.36 4 2/1/2017 5/1/2017
6.01 1 3/1/2015 3/1/2015
5.99 2 11/1/2011 12/1/2011
5.55 3 3/1/2013 5/1/2013
3.81 2 10/1/2013 11/1/2013
3.77 1 7/1/2011 7/1/2011
3.68 1 9/1/2016 9/1/2016
2.60 1 7/1/2015 7/1/2015
2.23 1 12/1/2016 12/1/2016
1.73 1 7/1/2012 7/1/2012
1.36 1 4/1/2018 4/1/2018
0.88 1 5/1/2015 5/1/2015
0.83 1 9/1/2011 9/1/2011
0.82 1 9/1/2015 9/1/2015
0.62 1 4/1/2012 4/1/2012
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Consecutive Losses

Run-up Length (Mos.) Start End
-31.23 6 9/1/2018 2/1/2019
-27.03 3 3/1/2016 5/1/2016
-24.53 2 2/1/2018 3/1/2018
-13.97 1 10/1/2015 10/1/2015
-12.46 2 8/1/2017 9/1/2017
-11.79 2 5/1/2012 6/1/2012
-11.47 1 6/1/2015 6/1/2015
-10.69 4 6/1/2013 9/1/2013
-9.64 1 5/1/2019 5/1/2019
-9.49 2 10/1/2016 11/1/2016
-9.42 1 4/1/2015 4/1/2015
-8.83 2 5/1/2018 6/1/2018
-8.47 3 8/1/2012 10/1/2012
-8.19 1 8/1/2015 8/1/2015
-6.43 1 10/1/2014 10/1/2014
-5.93 3 1/1/2012 3/1/2012
-5.11 1 8/1/2016 8/1/2016
-3.80 1 8/1/2011 8/1/2011
-3.54 1 6/1/2017 6/1/2017
-3.08 1 10/1/2011 10/1/2011
-2.06 1 12/1/2015 12/1/2015
-2.04 1 2/1/2013 2/1/2013
-1.40 1 12/1/2013 12/1/2013
-1.35 1 11/1/2017 11/1/2017
-1.08 1 2/1/2015 2/1/2015
-0.57 1 1/1/2017 1/1/2017
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Time Windows Analysis

 1 Month3 Month6 Month12 Month18 Month2 Year3 Year4 Year5 Year
Number of Periods98.0096.0093.0087.0081.0075.0063.0051.0039.00
Percent Profitable54.0846.8840.8634.4837.0440.0063.4972.5589.74
Average Period Return0.351.002.185.8211.3517.3030.8932.4534.81
Average Gain5.2411.6321.3746.0563.7375.5666.9958.5640.04
Average Loss-5.39-8.39-11.08-15.36-19.47-21.55-31.91-36.57-10.90
Best Period37.9673.3183.36160.37181.10156.43130.4985.2378.13
Worst Period-20.98-27.03-31.23-43.12-40.17-38.18-52.24-59.54-13.33
Standard Deviation7.6914.6522.7541.7852.8056.4155.8747.0124.31
Gain Standard Deviation6.2114.0323.4349.3854.9346.2334.5819.5219.65
Loss Standard Deviation4.736.578.209.759.729.2913.5219.323.13
Sharpe Ratio (1%)0.040.050.070.120.190.270.500.601.22
Average Gain / Average Loss0.971.391.933.003.273.512.101.603.67
Profit / Loss Ratio1.141.221.331.581.932.343.654.2332.13
Downside Deviation (10%)5.058.4612.1618.2622.8125.6429.9032.1714.05
Downside Deviation (5%)4.887.8810.8815.3818.3119.5822.5723.425.23
Downside Deviation (0%)4.847.7410.5714.6917.2318.1420.8721.503.60
Sortino Ratio (10%)-0.01-0.03-0.020.040.160.270.510.340.51
Sortino Ratio (5%)0.060.090.150.310.540.781.231.215.68
Sortino Ratio (0%)0.070.130.210.400.660.951.481.519.68

Top Performer Badges

Index Award Type Rank Performance Period
IASG CTA Index Month 3 8.60 4/2019
Trend Following Strategy Index Month 3 8.60 4/2019
Systematic Trader Index Month 3 8.60 4/2019
Diversified Trader Index Month 3 8.60 4/2019
Diversified Trader Index Month 3 8.60 4/2019
IASG CTA Index Month 3 8.60 4/2019
Systematic Trader Index Month 3 8.60 4/2019
Trend Following Strategy Index Month 3 8.60 4/2019
Trend Following Strategy Index Month 3 13.74 3/2019
Systematic Trader Index Month 3 13.74 3/2019
Diversified Trader Index Month 3 13.74 3/2019
IASG CTA Index Month 4 13.74 3/2019
Trend Following Strategy Index Month 2 15.02 8/2018
Systematic Trader Index Month 2 15.02 8/2018
Diversified Trader Index Month 2 15.02 8/2018
IASG CTA Index Month 2 15.02 8/2018
Trend Following Strategy Index Month 5 1.98 7/2018
Diversified Trader Index Month 5 1.98 7/2018
IASG CTA Index Month 5 13.12 10/2017
Trend Following Strategy Index Month 4 13.12 10/2017
Systematic Trader Index Month 4 13.12 10/2017
Diversified Trader Index Month 4 13.12 10/2017
Trend Following Strategy Index Month 6 6.38 7/2017
Systematic Trader Index Month 6 6.38 7/2017
IASG CTA Index Month 7 6.38 7/2017
Diversified Trader Index Month 7 6.38 7/2017
Systematic Trader Index Month 10 4.18 2/2017
Diversified Trader Index Month 7 4.18 2/2017
Trend Following Strategy Index Month 6 4.18 2/2017
Trend Following Strategy Index Month 5 3.68 9/2016
Diversified Trader Index Month 8 3.68 9/2016
Systematic Trader Index Month 7 10.37 6/2016
Trend Following Strategy Index Month 5 10.37 6/2016
Diversified Trader Index Month 6 10.37 6/2016
IASG CTA Index Month 5 10.37 6/2016
Systematic Trader Index Month 4 11.63 2/2016
IASG CTA Index Month 2 11.63 2/2016
Trend Following Strategy Index Month 2 11.63 2/2016
Diversified Trader Index Month 4 11.63 2/2016
IASG CTA Index 3 Year Rolling 5 83.77 2012 - 2015
Trend Following Strategy Index Month 1 37.96 1/2015
Systematic Trader Index Month 1 37.96 1/2015
Diversified Trader Index Month 1 37.96 1/2015
IASG CTA Index Month 2 37.96 1/2015
IASG CTA Index Year Rolling 2 89.82 2013 - 2014
Trend Following Strategy Index Month 3 18.87 11/2014
Systematic Trader Index Month 4 18.87 11/2014
IASG CTA Index Month 4 18.87 11/2014
Diversified Trader Index Month 3 18.87 11/2014
IASG CTA Index Month 4 9.91 6/2014
Diversified Trader Index Month 3 9.91 6/2014
Systematic Trader Index Month 4 9.91 6/2014
Trend Following Strategy Index Month 2 9.91 6/2014

Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial.