signal manager: RTA

overview

track record:
over 10 years
AUM / AUA:
Up to 50 million USD
model types:
trend-following
mean reversion
quant rated
asset classes:
main office:
Germany
See signals

description

Codename RTA is quant researcher active for 7+ years with one of the most successful European CTAs. The manager focuses on single stocks using a combination of trend-following and opportunistic approaches over 3 different timeframes. The signals help to identify whether a stock has patterns that display clear trends (like the FAANMGs) or is mean reverting (like a typical OEM). The signals are often used as input by fundamental researchers to complement their research with quantitative modeling. Especially in situations where companies use aggressive accounting, or where fundamentals are not in line with the valuation, RTA's trading signals can add significant value to fundamental analysis.

Signal Models

Name Model Asset classes Time horizon Direction Frequency

RTA Convensional Mix

 Diversified Equities, FX, Crypto Diversified Long-short Daily

RTA Long-term mean reversion

 Mean reversion Equities, FX, Crypto Long-term Long-short Daily

RTA Long-term Trend-following

 Trend-following Equities, FX, Crypto Long-term Long-short Daily

RTA Mid-term mean reversion

 Mean reversion Equities, FX, Crypto Mid-term Long-short Daily

RTA Mid-term Trend-following

 Trend-following Equities, FX, Crypto Mid-term Long-short Daily

RTA Quant Rated

 Diversified Equities, FX, Crypto Diversified Long-short Daily

RTA Short-term mean reversion

 Mean reversion Equities, FX, Crypto Short-term Long-short Daily

RTA Short-term Trend-following

 Trend-following Equities, FX, Crypto Short-term Long-short Daily
WHAT YOU NEED TO KNOW ABOUT THE SIGNALS

Our signals ("the Signals") are based on mathematical or statistical models, which academics and practitioners use in the context of financial markets. For instance, they give an indication for a certain trend, a relative valuation or a price pattern. Our Signals are typically sourced from leading practitioners like professional quantitative research firms. Before accepting a Signal to the platform, we analyse the quality and characteristics of the historic signal time series and assess the quality of the person, team or firm supplying the Signals. Despite our best efforts, we can give no guarantee as to the future quality of the Signals and the providers of the Signals (Signal Managers). Signals, which might have been value adding in the past, might not be value adding in the future, due to a changing market structure, changing market inefficiencies, changes in the model methodology and many other reasons.

A Signal must therefore NEVER be used as the sole input or trigger for a trading decision. It can only be regarded as one of many input factors in making your own investment decision.

You should therefore treat a Signal similar to Price / Earnings information of a stock: It can be a helpful information to evaluate the attractiveness of a stock or another financial instrument, but it is only one piece of information. You will need additional information before you can make a sound investment decision.

SYGNAL therefore excludes all liability related to the Signals or any other services provided by us or any related party. Any use of the Signals, in whatever context or way, will be at your sole responsibility and YOUR COMPLETE OWN RISK.

You must fully understand and accept these terms before using our services.

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