To provide the most advanced and user friendly algo trading solution to a wide spectrum of traders. THE PROBLEM In Algo Trading, the majority of the time goes into tech and data management, leaving less for winning strategies. At AlgoBulls, we understand this pain intimately. It's time to ...
Trade multiple cryptocurrency and forex exchanges through a single interface or over a unified API. Build your trading strategies directly in the browser, backtest against every tick of historical price data and trade live with your broker. It couldn't b
Algorithmic trading strategies driven by data and technology to help you trade better. DiY copy trade or auto trade strategies that work. 👋🏽Explore Today!
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are...
Forecasting the stock market is an essential requirement for comprehending market patterns and devising trading strategies. The present study is centred on the examination of financial data through the implementation of the present discourse pertains to two distinct technical indicators, namely the simple...
Some advanced strategies use price limits to create more efficient pools at specific price points and you can create multiple pools to accomplish your goals. For example, you can use Uniswap V3 to place one or moreDeFi liquidity poolsabove the current trading price. This strategy creates a dolla...
And yet, few actually understand what goes on inside these black box trading strategies. Thats why expert fund manager Rishi Narang has created Inside the Black Box. In non-mathematical terms-and supplemented by anecdotes and real-world stories-this guide explains how quantitative trading strategies...
An, B., Vasilakos, A.V., Lesser, V.: Evolutionary Stable Resource Pricing Strategies. In: ACM SIGCOMM (2009) Google Scholar Lee, C., Suzuki, J., Vasilakos, A.V.: iNet-EGT: An Evolutionarily Stable Adaptation Framework for Network Applications. In: 4th BIONETICS (2009) ...