Algorithm Trading is the use of electronic platforms for entering trading orders with an algorithm deciding on aspects of the order such as the timing, price, or quantity of the order, or in many cases initiating the order without human intervention.
Wide range of statistical arbitrage strategies have been developed whereby trading decisions are made on the basis of deviations from statistically significant relationships. Like market-making strategies, statistical arbitrage can be applied in all asset classes.
The pair's trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions: uptrend, downtrend, or sidewise movement. This trading strategy is categorized as a statistical arbitrage and convergence trading strategy.
Options strategies can favor movements in the underlying that are bullish, bearish or neutral. In the case of neutral strategies, they can be further classified into those that are bullish on volatility and those that are bearish on volatility.
The option positions used can be long and/or short positions in calls.
Alpha is a risk-adjusted measure of the so-called active return on an investment. It is the return in excess of the compensation for the risk borne, and thus commonly used to assess active managers' performances. Often, the return of a benchmark is subtracted in order to consider relative performance, which yields Jensen's alpha.
Trend following is an investment strategy that tries to take advantage of long-term moves that seem to play out in various markets. The system aims to work on the market trend mechanism and take benefit from both sides of the market enjoying the profits from the ups and downs of the stock or futures markets. Traders who use this approach can use current market price calculation, moving averages and channel breakouts to determine the general direction of the market and to generate trade signals the same rules can be implied to intraday time frames like 1 minute and 5 minutes.
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved, uncorrelated variables called factors.
Srcomsec uses systematic technical methods to trade a portfolio of futures markets, with a primary focus on stock indexes, options, currencies.
Srcomsec development simplifies the process of creating and monitoring an optimal portfolio. By automating the calculation process and using real-time data ensures that the customized portfolios that investors create have the highest probability of meeting individual investment objectives. Ability to formulate custom-tailored based on individual investment styles.
To provide idealized asset allocations by investment style and risk preferences by using stocks, options, future, currencies, commodities and formulate custom-tailored replicate portfolios, which mimic the stylized ideal market portfolio, provide various idealized sector funds and sector indexes.
