Algorithmic Trading Solutions

Build and deploy algorithms for low-loss trading strategies

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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

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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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Use cases, advantages, and real-life case studies of Appian’s low-code platform

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Maximize 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


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.

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