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An Example Of A Trading Strategy Coded In C++
An example of how a trading strategy is coded in C++....
7 min read
Session On Trading BMD By Bursa Malaysia Derivatives
QuantInsti have organized an exclusive session on “Trading BMD” by Malaysia’s premier stock and futures exchange, Bursa Malaysia Derivatives (BMD)....
1 min read
Index Arbitrage - An Automated Options Trading Strategy
In this post, we will discuss index arbitrage, an automated trading idea and the complexities around implementation of this idea without automation....
3 min read
Rajib Ranjan Borah Invited At IGIDR Roundtable On Regulation Of Algo Trading
The Finance and Research Group (FRG) of Indira Gandhi Institute of Development Research (IGIDR) recently conducted a round-table discussion event on regulations related to algorithmic trading in India....
2 min read
Paradigms of Trading Strategy Formulation
This article talks about how to formulate a trading strategy, it introduces to a step by step process with essential parameters for creating a profitable strategy....
3 min read
Latency War - Why is Low Latency Important?
Why is low latency that important? Think of trading as a running race. Faster the speed than your competitors, better your chances of winning....
3 min read
Changing Notions Of Risk Management
Risk management for algorithmic trading systems, case studies of recent failures. Major risk oversight issues in algorithmic trading and ways to manage risk situations....
1 min read
How to Design Quant Trading Strategies Using R?
R is a perfect open-source tool for back-testing and statistical data analysis, here we are discussing about basic concept of strategy back-testing using R....
2 min read
Algorithmic Trading for Technocrats and Engineers
Here we’ve answered many career oriented questions asked by students from engineering and mathematical backgrounds about opportunities in algorithmic trading....
5 min read
5th Annual Conference On Behavioural Models And Sentiment Analysis Applied To Finance
5th conference organized by UNICOM Seminars focuses on the application of Sentiment Analysis to the respective models of trading, fund management and risk control....
2 min read
