RoboSig
Innovative High Yield Low Risk Cash Management Solutions

As interest rates worldwide have fallen to record low levels—even gone negative in some parts of the world—corporate treasuries, family offices, asset managers, and high net-worth individuals are all looking for ways to increase the yield on their cash. Further, they want to achieve this without dramatically increasing the necessary amount of risk normally required.

Enter RoboSig!

“We are in a unique position where the software we create has only one job that it does consistently: make money,” mentions Dieter Marlovics, Chief Executive Officer of RoboSig. With the RoboSig software, clients can take advantage of the company's R&D, real-time analysis, and trading signals to turn the problem of low, or even negative, interest rates around the world on its head. The company’s autonomous technology searches for and takes advantage of transient anomalies as it profitably mines global stability via the $6Trillion/day FX market and beyond. Richard Preschern, the Founder and Chief Investment Officer of RoboSig sums it up succinctly, “RoboSig’s thesis is that the global monetary system acts as a giant ‘rubber band ball’. When pieces are stretched, they are always, at least partially, pulled back.”
"RoboSig’s thesis is that the global monetary system acts as a giant ‘rubber band ball’. When pieces are stretched, they are always, at least partially, pulled back.”"
RoboSig was founded to put this expertise into an autonomous trading machine that is even more efficient than an entire team of Ph.D. quantitative engineers. “Our software is not high-frequency trading, but rather trades about 10 times per day with the average suggested position lasting about a week,” says Marlovics. RoboSig’s system adjusts itself based on previous modifications (position changes, size changes, etc.) The company’s trading strategies have a live track since 2016 with over 90 percent positive months. The software produces a Sharpe ratio of over 1.5. “Our primary strategy at the moment focuses on the G7 currencies,” states Marlovics.

As a result, large global corporations, which manage cash sitting in different countries would be able to turn that challenge into a profitable lower-risk opportunity by partnering with RoboSig. Further, RoboSig ALPHA is the company’s higher return track. Its mechanism is very similar to the RoboSig Cash Management Alternative (CMA) track but incorporates a much higher amount of leverage to produce larger returns. Due to the deep liquidity of the G7 FX market and asset management, fund, brokerage, and other regulated fiduciary partners, double digit returns have proven to be equally as consistent for their investors with the RoboSig ALPHA product.

RoboSig collaborates with a number of asset management, fund, and brokerage partners. Using RoboSig technology, a partner would be able to profitably manage corporate cash that sits in most G7 countries. This cash is already in the local currency in various bank accounts such that a client can pay international employees and country specific operating expenses. The goal is to profitably convert cash from one currency to another depending on real-time spot prices to optimize the overall global return There would be no leverage introduced so that the annual returns would be in the low single digits but still be multiples higher than what would otherwise be possible in today's low interest rate environment.

We are in a unique position where the software we create has only one job that it does consistently: make money,” mentions Dieter Marlovics

One of the exciting recent developments is that RoboSig is currently forming a minority-owned subsidiary in the UK dedicated to the RoboSig strategies called RoboSig International, LTD. “The team in London that we are partnering with is world class,” mentions Marlovics. Having an asset manager like this makes it easier for any type of investor to allocate cash onto the RoboSig platform. In addition, RoboSig is continuing to make significant R&D investments to continually improve its product. “The next evolution will be for our AI to tailor its own parameters and “learn” autonomously via inline machine learning. Even higher consistency and Sharpe Ratio is the goal for when our ML strategy is integrated into the real-time decision stream to further improve our consistency and returns,” concludes Marlovics.