DCA Investment platform

Project Owner

DCA Investment platform

Funding Requested

$105,000 USD

Expert Review
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Our proposal introduces a Dollar Cost Averaging (DCA) investment platform utilizing AI and Web3 technologies to optimize investment strategies. The platform will use advanced AI to dynamically adjust investment amounts and intervals based on market conditions, enhancing potential returns. Partnering with SingularityNet allows integration with a decentralized AI marketplace, increasing the platform's capabilities. The project will unfold in phases, starting with a detailed action plan, followed by development, testing, and a final launch, ensuring a robust, secure, and user-friendly platform.

Proposal Description

Company Name (if applicable)


How our project will contribute to the growth of the decentralized AI platform

Our DCA investment platform will enhance SingularityNet's platform by hosting and using our AI services for optimized investment strategies, contributing data to improve AI models. By testing new AI technologies and engaging with the community, we support collaborative development and increase AGI token utility, fostering both network growth and economic stability. Our AI services to be hosted in SNet platform will be used constantly by our front-end platform.

The core problem we are aiming to solve

The core problem this project aims to solve is the challenge of timing and efficiency in investment strategies, particularly for individual investors. Many people struggle to decide when and how much to invest due to market volatility and personal uncertainty. Our DCA investment platform, powered by AI, simplifies this process by automatically determining optimal investment intervals and amounts. This approach minimizes the emotional stress of investing, reduces the risk of market timing errors, and enhances potential returns over time.

Our specific solution to this problem

Our solution leverages a Dollar Cost Averaging (DCA) investment strategy, enhanced with advanced AI algorithms, to systematically invest predetermined amounts into the market at regular intervals, regardless of the asset price. This strategy helps investors reduce the impact of volatility on their investment, potentially lowering the average cost per share over time.

The platform utilizes AI to optimize the timing and amount of investments. By analyzing historical data, current market conditions, and future projections, the AI algorithms provide tailored advice on when it might be more advantageous to adjust the frequency or amount of investments. This dynamic adjustment allows users to potentially capitalize on market dips and avoid over-investing during market peaks.

Moreover, our platform integrates with SingularityNet's decentralized marketplace of AI services. This integration not only enhances the platform's capabilities by accessing cutting-edge AI developments but also contributes to the overall growth of the AI ecosystem. It enables continuous improvement of our algorithms through access to a wide array of data and diversified AI expertise.

In addition, the platform will be designed with user-friendliness in mind, providing a simple interface that allows users to set up their investment plans easily and monitor their portfolios effectively. Security is also a top priority, with robust measures in place to protect user data and funds.

Project details

Our Dollar Cost Averaging (DCA) investment platform integrates sophisticated AI algorithms to automate and optimize investment strategies for individual investors. Here’s a detailed breakdown of the technical specifications and functionalities:

AI-Driven Investment Algorithms:
- Predictive Analytics: Utilizes machine learning models to analyze historical market data, investor behavior, and economic indicators to predict market trends.
- Optimization Engine: Employs algorithms such as reinforcement learning to continually refine investment strategies based on real-time data, optimizing the timing and amount of each investment to maximize potential returns.
- Risk Assessment Module: Analyzes the risk profile of each user and adjusts the investment strategy to align with individual risk tolerance and investment goals.

Platform Architecture:
- Microservices Architecture: The backend is built on a microservices architecture, ensuring scalability and flexibility. Each service (e.g., user management, transaction processing, analytics) operates independently, which enhances overall system resilience and ease of maintenance.
- Data Management: Integrates a robust data warehousing solution that securely stores and efficiently processes large volumes of financial and transactional data.
- API Integration: Offers APIs for easy integration with financial institutions, cryptocurrency exchanges, and other data providers to access real-time asset prices and execute trades.

User Interface:
- Web Applications: Provides a responsive and intuitive interface for the web platform, allowing users to manage their investment portfolios, set investment parameters, and view detailed analytics on their devices.
- Customizable Dashboards: Users can customize dashboards to display relevant financial metrics, historical data, and AI-generated insights and recommendations.

Security Features:
- Encryption and Data Protection: Employs state-of-the-art encryption methods to secure user data and transactions. Adheres to stringent data protection regulations to ensure privacy.
- Two-Factor Authentication (2FA): Implements 2FA for all user accounts, providing an additional layer of security against unauthorized access.

Integration with SingularityNet:
- AI Marketplace Access: Leverages AI services from SingularityNet’s decentralized marketplace to enhance the platform’s capabilities, such as advanced deep learning models for more precise market predictions to be deployed by our team.
- Contribution to AI Community: Share anonymized datasets and investment insights with the SingularityNet community to aid in the development of more accurate AI models, fostering a symbiotic relationship that drives innovation across the network.

Token Utilization: Incorporates native tokens for transactions within the platform, enhancing the utility and circulation of our tokens. We aim to mint after the launch of the Dapp, which supports the economic model of the decentralized AI network.

This platform not only democratizes investing by making it more accessible but also utilizes cutting-edge technology to enhance user experience and investment outcomes, supporting broader adoption and technological evolution in AI-driven financial services.

The competition and our USPs


Describe how your solution distinguishes itself from other solutions (if exist) and how it will succeed in the market.

Our Dollar Cost Averaging (DCA) investment platform stands out through its sophisticated integration of AI-driven strategies and a strong commitment to Web3 technologies, particularly through our integration with SingularityNet. This integration allows our platform to harness a decentralized marketplace of AI services, aligning with the Web3 ethos of transparency, decentralization, and user empowerment. By leveraging these decentralized AI services, our platform adapts investment timing and amounts dynamically. This approach not only maximizes potential returns but also personalizes investment strategies according to individual user profiles and financial goals, enhancing the effectiveness and customization of financial planning.

Our team

Our team members consist of a balanced and pretty diverse group of individuals due to the complexity of the project.

  1. Rojo Kaboti (Project lead): PhD Researcher, Data Scientist, SingularityNet ambassador.
  2. Safaa Anour: Data Scientist, AI engineer, Back-end engineer.
  3. Rana Meltem: Front-end Engineer
  4. Mohamed Amine Amir: Full-stack engineer.
View Team

What we still need besides budget?


Existing resources we will leverage for this project


Description of existing resources

Our project will utilize multiple existing and open-source AI algorithms and fine-tune them to suit our project's needs. Our team will also utilize the rich academic work behind DCA investment strategies.

Open Source Licensing


AI services (New or Existing)

DCA shceduling


New AI service


The service provides the best time schedule to invest in a DCA strategy based on the preference specified in the input (daily weekly monthly yearly) Asset.

AI inputs

Amount to be invested interval time Asset (Stock mutual fund bond token) Risk preference

AI outputs

Best three schedules to invest projections based on historical values with confidence values.

Portfolio health


New AI service


This service aims to provide insights into a user's portfolio and possible angles to improve it based on the risk/reward levels of the user.

AI inputs

Holdings (Stock mutual fund bond token) Interval preference Risk preference.

AI outputs

Projections based on the interval preference and Risk preference possible improvements.

Proposal Video

Placeholder for Spotlight Day Pitch-presentations. Video's will be added by the DF team when available.

  • Total Milestones


  • Total Budget

    $105,000 USD

  • Last Updated

    14 May 2024

Milestone 1 - API Calls & Hostings


This milestone represents the required reservation of 25% of your total requested budget for API calls or hosting costs. Because it is required we have prefilled it for you and it cannot be removed or adapted.


You can use this amount for payment of API calls on our platform. Use it to call other services or use it as a marketing instrument to have other parties try out your service. Alternatively you can use it to pay for hosting and computing costs.


$26,250 USD

Milestone 2 - Initial report & Bootstrapping


In this milestone we aim to do a literature review that is aimed to be consumed by the large public (2 articles 1 video) we also aim to gather the initial data that will be utilized in training and some initial tests.


We will deliver the following: - Two publicly available articles. - One publicly available educational video. - Initial report.


$11,000 USD

Milestone 3 - Front-end design and Implementation


We aim to implement the front end of our platform this stage is crucial so that the MVP of our platform is publicly tested in the next milestone.


Public link to the webapp Figma designs (Shared privately) Source code (Shared privately through GitHub) Development report.


$18,000 USD

Milestone 4 - AI services training


In this stage we aim to implement and test an MVP of our two AI services. Our initial implementation will include: - 10 biggest Cryptocurrencies by market value - 5 biggest stocks by market value (SP500) - 5 biggest stocks by market value (Out of USA) - 2 biggest mutual funds (USA) The two AI implementation will be hosted in the cloud in this initial phase


Public link to the webapp where the AI services can be tested Source code (Shared privately through GitHub) Development report.


$22,000 USD

Milestone 5 - SingularityNet integration


In this step we will implement error fixes based on tester's feedback from the previous step. Then we will start the implementation of our two AI services with SingularityNet's platform.


Implementation of our two AI services with SingularityNet's platform Development report.


$25,000 USD

Milestone 6 - Final tests


We will conduct final tests where we will meet with a selected few from the users (testers). In this phase we aim to conduct multiple quantitative and qualitative surveys that will inform further direction in the development.


Final report (including survey analysis).


$2,750 USD

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Reviews & Rating

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2 ratings
  • 1
    May 18, 2024 | 12:27 PM



    • Feasibility 5
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    Added time for milestone number 5

    The 6 logical milestones were clear but did not completely convince me because of the lack of time allocated for each milestone. What a pity. This is also something I want the team to add soon.
    Reasonable budget allocation is a plus point for the feasibility of the proposal.
    Milestone number 5 when integrating SNET seems quite reasonable, it is in accordance with the work order that the team has already established. At least I look forward to seeing the timeline for this milestone implementation.

  • 1
    Joseph Gastoni
    May 15, 2024 | 9:10 AM



    • Feasibility 4
    • Viability 3
    • Desirabilty 4
    • Usefulness 4
    Developing an AI-powered DCA investment platform

    Developing an AI-powered DCA investment platform with SingularityNet integration has potential, but significant challenges exist. Careful planning and execution are required to ensure the platform's accuracy, user-friendliness, regulatory compliance, and clear differentiation from existing solutions. Building trust with users and demonstrating the platform's effectiveness in real-world markets are key to long-term success.

    This project proposes an AI-powered Dollar Cost Averaging (DCA) investment platform that integrates with SingularityNet. Here's a breakdown of its strengths and weaknesses:


    • Moderate: The project requires expertise in AI, finance, Web3 development, and regulatory compliance.
    • Strengths: The concept leverages existing investment strategies and platforms, but the AI integration adds complexity.
    • Weaknesses: Developing and maintaining accurate AI algorithms for financial markets is challenging.


    • Moderate: Success depends on the platform's accuracy, user adoption, regulatory landscape, and competition.
    • Strengths: The platform addresses a user need and integrates with a growing decentralized AI marketplace.
    • Weaknesses: Competition from existing investment platforms and robo-advisors with potentially lower fees is a challenge.


    • Moderate: An AI-powered investment platform with a user-friendly interface is desirable for some investors.
    • Strengths: The project focuses on simplifying investing and potentially improving returns through AI.
    • Weaknesses: The "black box" nature of AI algorithms and the risk of over-reliance on automation may deter some investors.


    • Moderate: The project has the potential to improve investment decision-making for some users.
    • Strengths: Automating DCA strategies and potentially optimizing investment timing can be beneficial.
    • Weaknesses: The long-term effectiveness of AI-driven investment strategies in real-world markets needs evaluation.

    Besides, the project should consider:

    • Focusing on a specific target audience (e.g., beginner investors) and clearly communicating the benefits of AI-powered investing is crucial.
    • Building trust by addressing security concerns, explaining AI algorithms in clear terms, and potentially offering a "human advisor" option is important.
    • Demonstrating the platform's effectiveness through backtesting and simulations can strengthen the value proposition.

    Here are some strengths of this project:

    • Addresses a user need for simplified investment strategies and potentially improved returns.
    • Leverages a growing trend of AI-powered financial tools and integrates with the SingularityNet ecosystem.
    • Focuses on user-friendliness, security, and customization for a broader appeal.

    Here are some challenges to address:

    • The technical complexity of developing and maintaining accurate AI algorithms for financial markets.
    • Competition from existing investment platforms and robo-advisors with potentially lower fees.
    • Building trust with users regarding the "black box" nature of AI and the risk of over-reliance on automated investment decisions.
    • Addressing regulatory considerations for AI-powered investment platforms.




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