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Quant Trades

Your counterparty of choice

Ready to include cryptocurrencies in your business? We offer an institutional-grade trading platform, specializing in trade execution, security, and risk management.

Bycryptr Services

Trading

Market-leading sell-side trading desk offering spot and derivative OTC trading, lending and structured products.


Asset Management

Institutional-grade fund offerings across active and passive strategies


Bycryptr Ventures

Direct investments in early-stage and late-stage venture, liquid cryptocurrency and digital assets and special situations.


Investment Banking

Full lifecycle financing, strategic advisory and general corporate services for blockchain and digital asset companies


Bitcoin Mining

Propriety bitcoin mining operations and bespoke financing for miners

About Quantitative Trading

Quantitative trading consists of trading strategies based on quantitative analysis, which rely on mathematical computations and number crunching to identify trading opportunities. Price and volume are two of the more common data inputs used in quantitative analysis as the main inputs to mathematical models.

As quantitative trading is generally used by financial institutions and hedge funds, the transactions are usually large and may involve the purchase and sale of hundreds of thousands of shares and other securities. Quantitative traders take advantage of modern technology, mathematics, and the availability of comprehensive databases for making rational trading decisions. Quantitative traders take a trading technique and create a model of it using mathematics, and then they develop a computer program that applies the model to historical market data. The model is then backtested and optimized. If favorable results are achieved, the system is then implemented in real-time markets with real capital. Examples of Quantitative Trading Depending on the trader's research and preferences, quantitative trading algorithms can be customized to evaluate different parameters related to a stock. Consider the case of a trader who believes in momentum investing. They can choose to write a simple program that picks out the winners during an upward momentum in the markets. During the next market upturn, the program will buy those stocks.

This is a fairly simple example of quantitative trading. Typically an assortment of parameters, from technical analysis to value stocks to fundamental analysis, is used to pick out a complex mix of stocks designed to maximize profits. These parameters are programmed into a trading system to take advantage of market movements.