Deep-Learning Based Alpha Research
Finding the needle in the haystack.
In markets overwhelmed by data, noise, and short-lived narratives, we identify small, persistent sources of outperformance that matter over time.
Producers & Merchants
Market Traders
Alpha Research for
Trading
Alpha Research for
Hedging and Risk
Multiple alphas are not only about trading - they are about seeing more -
and neutralizing team-level bias before it turns into risk.
Optimized hedging entries mean more revenue and more profit.
Market Traders
Producers & Merchants
Alpha Research for
Hedging and Risk
Alpha Research for
Trading
Optimized hedging entries mean more revenue and more profit.
Multiple alphas are not only about trading -
they are about seeing more -
and neutralizing team-level bias
before it turns into risk.
Trading
Professional Traders Are Sitting On Unrealized Profit
For Failure To Validate Their Strategy
Professional Traders Are
Sitting On Unrealized Profit For Failure To Validate Their Strategy
In practice, alpha research and alpha usage are complex, capital-intensive, and operationally demanding.
Mainly because effective alpha generation requires:
• High-quality and costly data across multiple markets.
• Significant computing infrastructure and model development.
• Continuous monitoring, validation, and operational integration.
• Specialized expertise across research, engineering, and execution.
As a result, most market participants rely on limited internal resources or simplified external signals:
• Narrow model coverage
• Static or generic alpha assumptions
• Fragmented research and execution workflows
We remove this complexity by offering a one-stop platform for alpha research, deployment, and usage.
Our approach has been proven with both small and large institutions - ranging from investors without in-house trading teams to organizations operating large, sophisticated trading desks.
By centralizing data, compute, and operational processes, we make advanced alpha accessible, scalable, and immediately usable - without the cost, friction, or organizational overhead of building it yourself.
Select Your Profile
Flow
Your Journey To Your Alpha For Hedging
Define
Define your baseline and your policy
Opportunities
Identify an Alpha for your baseline
Reports
Client gets a report about different alpha performances and characteristics
Integration
Infrastructure Integration
Maintenance
Production and maintenance
Client Stories
Client Stories
Alpha In The Real World
Established Asset Manager
An established asset manager plans to expand its activities by introducing a fully automated trading strategy based on deep learning–driven alpha signals. The strategy focuses on European energy stocks.
After extensive backtesting of the alpha models, the client trades European equities, fully automatically, based on these signals and maintains frequent exchanges with our quant team.
Established Asset Manager
An established asset manager plans to expand its activities by introducing a fully automated trading strategy based on deep learning–driven alpha signals. The strategy focuses on European energy stocks.
After extensive backtesting of the alpha models, the client trades European equities, fully automatically, based on these signals and maintains frequent exchanges with our quant team.
Alpha is not singular
Let us find the needles for you.
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Disclaimer: The information, analyses, research outputs, signals, forecasts, models, and other materials (collectively, the “Content”) provided by Needlestack Technologies Ltd. are for informational and research purposes only and are intended solely for use by professional investors, market participants, and other financially sophisticated users.