Future of Investing
A screener of screeners, Wootrader is creating affordable predictive analytics models for all kinds of investors

Atanas Stoyanov is the CEO of Wootrader.
Atanas Stoyanov, CEO of Wootrader[/caption]
Wootrader is the only complete system that uses technical analysis, company fundamentals, analysts estimates, options volatility, guru strategies, stock sentiment and more to generate a ranking for each stock.
What makes Wootrader so radically different is that it adapts to the dynamically changing stock markets by using weighted predictive analytics models that have been used for years in other industries, such as military, to predict the trajectories of missiles, business modeling to predict sales of new products, or even in city planning. The end-user does not have to manually configure screeners into an investing strategy - Wootrader selects and weights every day the screeners that are outperforming the S&P500 Index in the current market conditions. During some periods we have markets driven by fundamentals, other times by technicals, analysts estimates etc. - this is what Wootrader accounts for.
What is Wootrader?
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Do we really need another screener? Don't most people not understand how to use them effectively? How is it different than other screeners on the market? What's the use case?
The currently available screeners require a high level of sophistication from end-users. Most screeners focus on technical, fundamentals, or a small combination of the two and the more data points are available, the more complicated those screeners are...to the point of becoming unusable. By automatically selecting the best performing screeners, Wootrader allows even beginner investors to use advanced data such as options volatility and analytics, social sentiments, and guru strategies,. on top of technical analysis and company fundamentals. Additionally, Wootrader daily optimizes the models to use only the screeners that are outperforming the S&P500 depending on the current markets, while the other existing screeners are ’static’ - once the user has configured (and eventually backtested) them - they do not change/evolve and at some point in time, when the markets have changed, the screeners/strategies stop performing. Enough has been said about the abysmal performance of Mutual Funds, and expert money managers using those same kind of screeners and strategies - over 80% are underperforming the markets exactly for using such ’static’ strategies that work only for short periods of time and need to be constantly maintained. We see the following as use cases for Wootrader:- A complete beginner can log into Wootrader and start investing within 5 minutes using a basic model that has no timeframe constraints
- More advanced users can use models with specific time/number of stocks constraints. For example, these users would select (using a wizard) the model that works best for a one-month investing period for a portfolio of 10 stocks.
- Professional investors can create custom models from scratch by selecting the data points that they believe are the most relevant and Wootrader, under the hood, will use its predictive analytics engine to automatically assign weights based on the current market performance. For example, a user can select some screeners like the P/E Ratio, MACD, 10 Day Options Volatility and Wootrader automatically assigns a weight to each one of them on a daily basis.
- Financial institutions can integrate the Wootrader models and rankings into their own systems using our REST API