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January 27, 2022
Episode 18: Tech Trends & Predictions 2022
Learn the outlook, priorities, challenges & focus areas of tech leaders in 2022
Register NowAlgorithmic Trading Solutions
Build and deploy algorithms for low-loss trading strategies
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Episode 17: Low Code Platforms – Game Changer or Hype
Paula Kielty, New Business & Policy Manager, CUMIS discusses low-code platforms
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Episode 16: Appian’s Low-Code Platforms – All you need to know
Use cases, advantages, and real-life case studies of Appian’s low-code platform
Play NowMaximize Trading Volume with Minimal Risk
Bring your trading algorithms from the whiteboard to the trading floor.
Our algorithmic trading solutions do the heavy lifting for you — monitoring market conditions to quickly adapt to fluctuations and make trades without veering from the programmed strategy.
Why Algorithmic Trading?
Monitor multiple markets simultaneously to maximize trade gains
Significantly reduce the risk of manual errors during trade execution
Reduce transaction fee costs
Avoid large price changes with more precise timing
Eliminate the emotional aspects of trading
Algorithmic Trading Strategies
Wide Range of
Trading Algorithms
Arbitrage
Low-risk strategy detects price differentials on different sites to increase revenues.
Trend Following
Easy implementation of trends-based trading algorithms.
Index Fund Re-balancing
Time your trades to capitalize on offers just before re-balancing.
Mathematical Miles
Uses proven math models to target multiple positions with balancing positive and negative deltas that can even out market movements.
Mean Reversion
Employs the theory that both high and low prices are temporary to target trading for any time the price goes above mean.
Time-Weighted Average Price (TWAP)
Minimize market impact by breaking a large order into smaller ones using evenly divided start and end time intervals.
Volume-Weighted Average Price (VWAP)
Get close to the VWAP by breaking up a large order into smaller ones using historical stock profiles.
Implementation Shortfall
Take advantage of favorable price movements by calculating the optimal time horizon to execute a trade using the stock’s historical volume profile, liquidity and volatility.
Non-Usual Algorithms
Detect sell-side algorithms in an effort to neutralize the potential for sellers to target larger-order buyers.
Financial Services Technology Trends in 2021 and Beyond
In this eBook, we uncover technology trends in Banking Services, Wealth Management, and Capital Markets.
Get a deeper understanding of how new and old technology is affecting the financial services industry. We also cover niche and upcoming areas that are technology driven and are adding real business value.
Trending Topics
How Fintech is Disrupting Traditional Banking and Trends for 2021
Achieving a single view of the customer is vital to deliver on the promise of customer-centricity and customer experience.
Single Customer View Adoption Transforms Customer Experience in Financial Services
Achieving a single view of the customer is vital to deliver on the promise of customer-centricity and customer experience.
Innovation in FinTech is Driving the Future of Banks and Financial Systems
Growing demand for addressing regulatory compliance, digital competitors, and ever-increasing customer expectations is changing the landscape in which banks pursue their survival. Digital entities and new entrants are flooding the…
