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Dynamic Position Sizing Algorithm for Trend Following
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Inspired by a conversation on:
Top Traders Unplugged
SI240: Trend Following... More Than Just Vol Scaling? ft. Nick Baltas
Host: Niels Kaastrup-Larsen
Timestamp: 57:06 - 01:00:28
Found an idea? We can build it for you.
We design and develop SaaS, AI, and mobile products — from concept to launch in weeks.
Direct Quote
"We owe that to investors. And, and also I think what's, what, what has been really smart about taking an academic approach."
Market Gap
Investors lack sophisticated tools for dynamic position sizing.
Summary
Categorization
Scores
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Sign InHow should I validate this saas idea before building it?
2:34 PM
Great question! For a saas idea like this, I'd recommend starting with these validation steps:
- Customer interviews: Talk to Technical to understand their pain points
- MVP approach: Build a simple landing page to test demand
- Competitor analysis: Research existing solutions and identify gaps
Would you like me to help you create a specific validation plan for your high difficulty idea?
2:35 PM
Yes, and what about the technical implementation? Should I build this myself or hire a team?
2:36 PM
Based on your idea's complexity and 6-12 months, here's my recommendation:
Technical Strategy:
- Start with no-code tools for rapid prototyping
- Consider your technical background and available $1,000-$10,000
- Plan for scalability from day one
I can help you create a detailed technical roadmap and resource allocation plan...
2:37 PM
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Trend Following Strategy Optimization Tool
The proposed business idea is to develop a Trend Following Strategy Optimization Tool designed specifically for investors and fund managers who employ trend following strategies. This tool would utilize advanced algorithms to analyze historical market data, identify optimal entry and exit points, and adapt to changing market conditions. By incorporating features such as volatility scaling and dynamic position sizing, users can ensure their strategies remain robust against market fluctuations. The target audience would include hedge funds, asset managers, and individual investors who aim to enhance their trend following performance. Key features could include backtesting capabilities, real-time signal processing, and risk management tools.