Programme results after all fees
|Statistics (after fees, since 2013-01)|
|Returns since Fund launch (2013)||33.30%|
|Returns since Strategy launch (2008)||200.74%|
|Last 12 months return||0.73%|
|Name||Algorithmic Trading Portfolio|
|Recommended investment term||6+ months|
|Fund size||5.9 mm USD|
|Fund currency||USD, EUR|
|Management company||Orion Asset Management|
|Depository||AB SEB Bank|
|Regulator||Bank of Lithuania|
|Auditor||Ernst & Young Baltic UAB|
|Broker||Trade Station Securities|
|Inception date||2012 10 22|
|Annual management fee||1%|
|Subscription fee||Up to 3%|
|Redemption fee||No charge|
February 2019 subfund M
The ATP subfund M earned +0.99% in February. The algorithms traded profitably and steadily throughout February, same as in January. All asset classes generated profit except of currencies. A significant profit was earned from agriculture (+0.38%), interest rates (+0.38%) and stock indexes (+0.30%) asset classes. For more information download our monthly report.
January 2019 subfund M
The ATP subfund M started year 2019 successfully. Algorithms earned +1.00%. The fund performed steadily throughout all January. The best performing asset class was interest rates (+0.56%). Prices of interest rate financial instruments fluctuated up and down. Such price movements were very handy for fund’s algorithms. Therefore, it was successfully exploited. Agriculture asset class generated gain of +0.18%. The largest contributor was corn trading (+0.17%). Algorithms caught moments when the corn price fell and earned profit from sell short positions. All the other asset classes were also profitable. For more information download our monthly report.
December 2018 subfund M
The subfund M wrapped up the year of 2018 with a profitable month of December earning +0.24%. During this month the results of the fund were visually different when compared to general market tendencies. S&P 500 stock index fell roughly -9% while the algorithms in our portfolio trading S&P 500 made a profit of +0.15%. Entire stocks asset class made a minor loss of -0.18% which was mostly affected by the loss in NASDAQ 100 (-0.23%). The poor performance of the stock market was not a unique sight during December. Bloomberg Commodities index fell -6.9%. ATP algorithms trading commodities were successful in coffee (+0.17%), gold (+0.09%), Brent oil (+0.07%). All of the commodity sectors traded by the fund were profitable: agriculture (+0.22%), metals (+0.11%), energy (+0.07%). For more information download our monthly report.
November 2018 subfund M
ATP subfund M earned +0.33% in November. The best performing asset classes were interest rates (+0.52%) and currencies (+0.32%). The only significant negative result was experienced in energies (-0.66%). Most of the algorithms performed well in November. The only individual future that stood out was natural gas (-0.77%). For more information download our monthly report.
October 2018 subfund M
During the month of October the subfund M suffered a small loss of -0.15%. Profit was taken from metal (+0.38%), bond (+0.22%), currency (+0.21%) and stock indices (+0.11%) sectors. Monthly performance was negatively affected by agriculture (-0.3%), energy (-0.35%) and other instruments not assigned to any sector (-0.43%). Looking at individual instruments the profits distributed evenly. The biggest earners were Euro FX (+0.28%), gold (+0.26%) and 5 Year Treasury Bonds (+0.23%). The worst performing instruments were CBOE Volatility index (-0.43%), wheat (-0.45%) and Ultra T–Bond (-0.47%). For more information download our monthly report.