Example input
Industry or niche: [Enter the intended industry or niche (e.g. technology, health, fashion, etc.)]
Business summary: [Describe your business idea]
Current progress: [Describe how much you've done already, how much resource (personnel, money, equipment) you have behind you and how successful you have been so far if applicable]
Toughest perceived challenge: [Describe what stands in front of you which seems most challenging]
Difficulty (0-100): [The chance of success against which you want the AI to base their decision of whether to invest in your idea. 100 being virtually impossible to get them to invest, 0 being no challenge at all to get them to invest. 67 seems great.]
Example output
Primary Problem:
The business aims to solve the challenge of developing and implementing quantitative trading strategies efficiently.
Solvability:
Given the completion of the backend system and the ability to accept requests for trading strategies, it seems that the core problem of facilitating algorithmic trading has been addressed. However, the effectiveness of these strategies in real-world scenarios remains to be proven.
Profitability:
Automated trading has the potential to be highly profitable, especially if the strategies generated by the API prove to be successful in real market conditions. The demand for algorithmic trading tools is significant in the financial industry.
Capital Investment:
Since the backend system is already in place, the remaining steps would likely involve refining the algorithm, conducting extensive real-world testing, and possibly investing in marketing efforts. The capital investment would primarily be in manpower for algorithm refinement and testing.
Toughest Imperceived Challenge:
One potential challenge could be the need for continuous adaptation of the algorithms to changing market conditions. Financial markets are dynamic, and ensuring that the trading strategies remain effective over time could be a significant challenge.
Estimated Chance of Success:
Given the progress made, the estimated chance of success is reasonably high. The completion of the backend system is a substantial milestone, and if the algorithms perform well in real-world scenarios, the chances of success could be further enhanced.
Should We Invest:
Yes! The potential in the automated trading industry coupled with the progress already made makes this a compelling investment opportunity. While the time constraint is a concern, the existing backend system provides a solid foundation, and with strategic planning, it's possible to overcome the limited availability of time.
Investment Reasoning:
The business addresses a relevant problem in a lucrative industry, and the completion of the backend system is a significant achievement. The profitability potential is high, and the capital investment required seems manageable. The time constraint is a challenge, but with focused efforts and efficient time management, the project can continue to progress. The estimated chance of success, considering all factors, aligns with a favorable investment decision.