Figuring The Upcoming Trend

Neural Computing

Neural Computing

Efficiency Takes The Lead

Although the market may seem random, they are not completely unpredictable. Quadmatics brings a sophisticated quantitative approach to comprehend financial data sets, generating optimal prediction models for derivative ETFs and maximize the 'alpha'.

Deep Learning Model

Deep Learning Model

Big Data Architecture

Quadmatics engages machine intelligence that bears little resemblance to human cognition, involving millions of fuzzy calculations to self-train and recalibrate, learning from and adjusting to new market data as they arrive.

The mathematics is recondite ― a nondeterministic algorithm that can look at a data set and generate a hypotheses to interpret what it sees. Similar to how the human brain breaks information to form heuristics, Quadmatics' AI tests theorems with increasing levels of mathematical abstraction. The specifics are proprietary.

Erratic Market Challenges

Erratic Market Challenges

Adaptability And Resilience

Stock market is too noisy, too random to be predictable. Several quant firms have developed pet algorithms to outperform the market and most of them can make some "profit" when the market is generally trending upward ― no algorithm is required to do that.

However, very few of them are consistent and make money under all market conditions. Most models that did great during their initial training runs might do ok, but could also fail spectacularly and burn all the seed money.

Discovering Insights

Discovering Insights

Approach To Forecasting

Quadmatics capture short term dependencies in price data in order to enhance the prediction accuracy. The forecaster is made of multiple AI robots delivering 15 minute forecasts of price, direction and percent change along with forecast accuracy.

Performance Findings

Performance Findings

Returns Are Benchmarks

Backtest results conducted on uncontrolled and unfavoured market data shows that Quadmatics' machine learning algorithm comfortably delivers between 0.75% to 1.6% average return with high predictability on a per trade basis.

Difference Within

Difference Within

The Choice Is Obvious

Unlike peers where algo trade merely signifies creating, deploying and executing user oriented trade strategies with no decisive outcome, Quadmatics takes the lead in automated calculating and alerting what bet to play on that very day.

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Commodities Derivatives Currency Equity
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