Cryptocurrency is often used as an umbrella term for the various types of coins (currencies) and tokens (contracts) that use blockchain technology.
We list the main types of coins and tokens that can be traded.
Coins and Tokens Landscape 2022
Category: Quod Insights
Why Cluster Analysis and Why now? Machine Learning in Equity Trading
Machine Learning Cluster Analysis is a fully data driven approach to identify groups of instruments that perform similarly over short periods of time. This method is used to reduce the instrument universe required to perform data-driven operations.
What is the value of data at the trading desk?
Historically, many decisions taken by traders have relied on subjective expertise, which is influenced by individual bias and emotion. Today, data eliminates that problem, offering more transparency in trading decisions.
Key Takeaways from Cryptocurrency and Token Landscape
Whitepaper, June 2022 – Cryptocurrency and Token Landscape “Bitcoin has experienced huge growth, partly due to its first-mover advantage, and has inspired many new blockchain technologies to be developed. Accordingly, this report outlines the major coins and tokens in this landscape that have taken off since Bitcoin and their different functionalities. It also explains the emerging ‘decentralised finance’. Major Coins … Read More
Introducing Transaction Cost Analysis Automation (TCAA)
How Machine Learning is revolutionising Transaction Cost Analysis?
The Future of Algorithmic Trading: 5 Key Trends
The foreign exchange (FX) market has significantly increased reliance on electronic channels in recent years. Refinitiv, states that more than 80 percent of spot market volume is now transacted electronically. This increase in electronic access to liquidity means that advanced technology solutions for choosing how to interact with liquidity are essential to every trading desk.
Four Key Qualities Of Smart Order Routing With Trade TV
Trade TV and Quod Financial talk about the four key qualities of Smart Order Routing (SOR). Watch the video.
Exploring the Challenges Facing the Sell-Side
Quod’s Medan Gabbay and Ian Mawdsley of Refinitiv discuss and analyze the challenges facing the sell-side, including reducing costs, remote trading, and artificial intelligence (AI) and machine learning (ML).
FX Smart Order Router: The Route to Better Automation
The foreign exchange (FX) market has significantly increased reliance on electronic channels in recent years. Refinitiv, states that more than 80 percent of spot market volume is now transacted electronically. This increase in electronic access to liquidity means that advanced technology solutions for choosing how to interact with liquidity are essential to every trading desk.
Trading Resilience Using Machine Learning and Test Automation
There is no doubt that financial markets are increasing in complexity. Much of this complexity is fuelled by the digital transformation and adoption of emerging technologies that are at the top of many financial institution’s strategic agendas.
How Do Synthetic Orders Simplify Trader Workflow?
Synthetic market orders is the ability to emulate TIF / behaviours / order types for venues which do not natively support them. This critical capability reduces rejections, simplifies trader workflows, and speeds execution. How does Quod’s system support traders in improving their trading through synthetic market order strategies?
Big data challenges in financial services
Artificial intelligence (AI) and machine learning (ML) are transforming the e-trading landscape in capital markets. The availability, consistency, and consumption of high-quality data are the foundation of any AI/ML model. But what challenges do these big data themes bring to the industry?
- Page 2 of 2
- 1
- 2