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  • Robo services are online platforms that use computer algorithms to provide financial advice and investment management services to clients. These platforms typically offer a range of services, from simple investment advice to full-fledged portfolio management.
  • Robo services use sophisticated algorithms to analyze data and make investment decisions based on a client's risk tolerance, investment goals, and other factors. They typically charge lower fees than traditional financial advisors, making them an attractive option for investors who want to save money on fees and have a hands-off approach to managing their investments.
  • Cash investment refers to the act of investing your money in financial instruments that have low or no risk of losing your capital. Cash investments typically include savings accounts and government securities.
  • One of the primary advantages of cash investments is their low risk. This makes them a popular choice for investors who prioritize preserving their capital over earning high returns.
  • In summary, cash investments can be a good option for investors who are looking for a low-risk way to preserve their capital, but may not be the best option for those who are seeking higher returns or willing to take on more risk
  • During the robo backtesting process, the robo-advisor simulates investment decisions based on historical market data to see how its algorithm would have performed in the past. This can provide insights into the algorithm's strengths and weaknesses.
  • Robo backtesting can also help identify any biases or flaws in the algorithm's decision-making process.
  • Overall, robo backtesting is an very important tool for robo-advisors to ensure that their investment strategies are effective and robust, and will provide better confidence in the performance of their investments.
  • Robo development is the process of designing, creating, and implementing a robo, which is an automated investment management platform that provides portfolio management services to clients using computer algorithms.
  • Once the algorithm is developed and tested, the platform is typically launched and made available to clients. Ongoing development efforts may include refining the algorithm to improve its performance.
  • Overall, the development of a robo-advisor requires a multidisciplinary team with expertise in areas such as finance, data analytics, software development, and UI/UX design.