“How many millionaires do you know who have become wealthy by investing in savings accounts? I rest my case.” — Robert G. Allen
The increasing demand for AI trading apps like WeBull is making this statement by one of the most influential investment advisors of all time true. Nowadays, people around us are enthusiastic about stock trading. Moreover, there are plenty of best stock trading apps suggesting where and how they should invest to make a profit.
With the snowballing adoption of cutting-edge technologies, we can see service providers are leveraging Artificial Intelligence (AI) in stock trading app development. It has positively obstructed the market, making it more accessible, efficient, and accurate.
These AI stock trading apps have assisted users in identifying essential market data, performing trades flawlessly, and predicting accurate stock prices. Are you also looking to attain the best AI trading app like WeBull?
Read the below article to delve into the details of how to develop an AI trading app, required features, advantages, and estimated costs.
Keep scrolling:
- Overview of AI Trading Application "WeBull"
- Features to Include in AI Trading Apps like WeBull
- Benefits Provided by Best AI Trading Apps
- Top 10 AI Trading & Investing Apps like WeBull
- Technology Stack to Develop an AI Trading App like WeBull
- How to Develop an AI Trading App like WeBull? A Multi-step Procedure
- How Much Does it Cost to Develop an AI Trading App like WeBull?
- To Conclude,
- FAQs
Overview of AI Trading Application “WeBull”
WeBull is known as the best stock market app, which is commission-free and offers a wide range of investment opportunities for trade enthusiasts. Users can trade via ETFs, stocks, cryptocurrencies (Bitcoin and Dogecoin), and other options. Introduced in 2017, WeBull is crafted explicitly for novice and professional traders, providing real-time data, AI-driven market analysis, and advanced trading tools.
As soon as it arrived, it attracted the stock market players, who were whipping other existing traditional players like Charles Schwab, Fidelity, etc.
These AI stock trading apps like WeBull aim to enhance trading effectiveness, offer powerful trading tools, and reduce human errors.
Let’s have a look at the pros and cons of WeBull to understand it better:
Pros | Cons |
No fees for ETFs, stocks, and options trading. | No support for mutual funds or bonds. |
Risk-free demo trading for beginners. | It is not as beginner-friendly as TD Ameritrade. |
It supports pre-market & after-hours trading. | Higher interest rates for margin trading |
It allows investing in small portions of stocks & cryptocurrencies. | Users must reinvest payments manually. |
To learn more about the market size and growth of WeBull like apps, consider the following points:
- The global AI-enabled stock trading platform market was valued at USD 2.15 billion in revenue in 2023 and is predicted to grow at a 10.24% CAGR from 2024 to 2033, reaching USD 5.70 billion by 2023.
- The AI trading platform market is estimated to grow from USD 11.49 billion in 2025 to USD 54.42 billion by 2034, at a 19.38% CAGR between 2025 and 2034. In 2024, it was valued at USD 9.25 billion.
- The global AI in trading market is predicted to reach USD 50.4 billion by 2033, up from USD 18.2 billion in 2023, at a 10.7% CAGR between 2024 and 2033.
Features to Include in AI Trading Apps like WeBull
As a business, you must find the right features to integrate into an AI quantitative trading app in order to make it unique and stay competitive. Moreover, the below list of salient features will help you to grab the attention of a large user base:
1. Algorithmic Trading
The integration of AI enables users to automate trading strategies (momentum trading, scalping, etc.) with customizable algorithms. This allows users to conduct hands-off, accurate stock trading.
2. AI-enabled Market Insights & Predictions
The best AI trading apps leverage Machine Learning Solution models to identify and analyze historical market data. They aim to provide sell/buy recommendations to users based on real-time sentiment analysis and trends.
3. Smart Order Routing
With the help of AI, all orders can be routed to the best available execution locations based on real-time market conditions. This tends to reduce slippage and increase trading efficiency.
4. Real-time Portfolio Rebalancing
AI monitors help users adjust their portfolios based on their investment strategy. They align the portfolios with risk tolerance, predefined goals, and evolving market conditions.
5. Sentiment Analysis
Stock trading apps like WeBull use AI to scan social media, news articles, and market stats to forecast price fluctuations and inform traders about related real-time events and trends.
6. Voice Command
An AI trading app must combine voice-enabled features to help users place trades, access account details, and get market updates using voice commands, providing a hands-free experience.
7. AR for Market Conception
Combine Augmented Reality (AR)- based tools in your AI stock trading app to provide users with an elevated market experience. This will help users visualize stocks, technical indicators, and candlestick patterns in 3D space.
8. Smart Tax Calculation
WeBull like apps assist users in automatically calculating the tax implications of every trade they make. They also generate thorough performance reports to track profits, tax-saving investments, and losses.
9. Personalized Trading Assistant
Hire dedicated developers to integrate a virtual assistant into your stock trading app. Based on users’ trading preferences and behavior, the assistant will guide users with customized market strategies, timely alerts, and effective trade suggestions.
10. Social Trading & Crowdsourced Data
AI forex trading app enables users to follow professional traders and review their portfolios’ performance. AI analyzes expert profiles to suggest to users which traders should follow based on their trade history and risk profile.
Benefits Provided by Best AI Trading Apps
AI-powered trading apps like WeBull have completely reformed the way traders and investors used to evaluate the market, manage portfolios, and perform trades. These apps provide many more benefits, from automation to increased profitability and trade efficiency. Look below to know more:
– Automated Trading & Execution
Stock trading platform development facilitates businesses with algorithmic trading, where trades are performed automatically based on predefined approaches. It enables users to make fewer human errors, decrease reaction time, and not miss out on any lucrative trade or opportunity.
– Data-driven Decision Making
The best stock market apps enabled by AI are beneficial for analyzing enormous market data in real-time. Additionally, these apps can identify trends and patterns that human traders can barely spot. Data-backed insights are easier to get, alleviating emotional decision-making and optimizing trading accuracy.
– Better Market Prediction & Risk Management
AI trading apps use real-time signals and historical data to forecast market activities and trends with greater accuracy. These apps help evaluate risk levels and suggest techniques for risk mitigation, assisting traders in achieving improved returns and reducing losses.
– Personalized Trading Strategies
AI trading bot apps are adaptable to traders’ investment goals, risk tolerance, and market preferences. This allows them to facilitate traders with customized insights and ensure that they receive accurate recommendations suitable to their specific trading preferences.
– Reduced Human Errors
AI trading software development gives traders minimum chances of errors made by investors and traders. AI algorithms don’t get affected by emotions; hence, they can make better and more accurate trade decisions autonomously based on the set criteria.
It helps to decrease costly errors and inaccuracies that occur via manual trading, leading to optimized trading efficiency.
Also Read: How To Develop AI Stock Prediction App In 2025?
Top 10 AI Trading & Investing Apps like WeBull
While obtaining trading platform development services, you must analyze the existing players in the market. Here, we have curated a list of some popular WeBull like apps you can consider while developing an alternative stock trading app:
Platform | Founded Year | Key Features | USP (Unique Selling Point) | Commission Fee | Best For |
Robinhood | 2013 | Commission-free trading, crypto trading, fractional shares, simple UI | Beginner-friendly, easy-to-use mobile app | $0 for stocks & ETFs; options have contract fees | Beginners & casual investors |
LevelFields | 2020 | AI-powered event detection, portfolio monitorin, predictive trading signals | AI-driven market anomaly detection & trade signals | Subscription-based | Institutional & algorithmic traders |
Acorns | 2012 | Automated investing, robo-advisory, round-ups, retirement planning | Micro-investing & automated savings | $3-$5/month | Beginner investors & passive savers |
QuantConnect | 2011 | Algorithmic trading, coding in Python/C#, backtesting, multi-asset trading | Open-source AI-powered algorithmic trading platform | Free to use, with cloud computing charges | Quant traders & developers |
TuringTrader | 2019 | AI-powered portfolio management, strategy automation, backtesting | AI-enhanced asset allocation and investment strategies | Subscription-based | Advanced traders & AI portfolio managers |
E*TRADE | 1982 | Stocks, ETFs, options, managed portfolios, futures trading | Feature-rich platform with deep research tools | $0 for stocks & ETFs; options have contract fees | Active traders & investors |
Stash | 2015 | Automated investing, retirement planning, fractional shares | Beginner-friendly investing with financial education | $3-$9/month | Beginners & long-term investors |
TD Ameritrade (thinkorswim) | 1975 | Thinkorswim platform, paper trading, options & futures, advanced charting | Best-in-class trading platform for pros | $0 for stocks & ETFs; options have contract fees | Professional traders & active investors |
M1 Finance | 2015 | Automated investing, dynamic rebalancing, fractional shares | Hybrid of robo-advisory & self-directed trading | $0 for stocks & ETFs | Passive investors & portfolio builders |
Public.com | 2019 | Commission-free stock, fractional shares, social investing, live audio chats | Community-driven investing with a strong social network | $0 for stocks & ETFs; optional tipping model | Social investors & beginners looking for market education |
Technology Stack to Develop an AI Trading App like WeBull
Businesses need to consider advanced technologies and tools to develop the best stock market apps. Leveraging the latest tech stack will ensure scalability, reliability, performance, and security. Check out the progressive technologies below:
- Backend Technologies: Django, NodeJS, etc.
- Frontend Technologies: Flutter, React Native (Frameworks), UI libraries
- Databases: MongoDB, PostgreSQL
- APIs & Integrations: Yahoo, Alpha Vantage (Market Data API), OAuth 2.0 (Authentication)
- Cloud Hosting & Security: AWS, Google Cloud, CDN, SSL encryption, 2FA
- Payment Gateways: Stripe, Plaid
How to Develop an AI Trading App like WeBull? A Multi-step Procedure
Hire a top AI development company to build a WeBull like app with significant features and functions. To get the best outcomes, experts need to follow a step-by-step process from market research & planning to development to launch.
Get the detailed information here:
Project Conceptualizing & Planning
The first step in creating the best stock market app is to outline the app’s purpose and features. You need to research the market and competitors deeply to analyze targeted users’ requirements and expectations. Overlook what your competitors are providing and what they lack in their services.
You can conduct a SWOT analysis to identify their strengths and weaknesses. The collected data will help you decide on the required app features, functions, tech stack, development team, overall costs, and estimated project timeline.
UI/UX Designing
Your AI trading app must have an intuitive, responsive, and user-friendly interface to attract traders worldwide. Craft an appealing solution with engaging features and functions, easy navigation, a striking layout, and visually appealing colors to deliver a seamless user experience.
Ask your UI/UX designers to design an effective UI that considers client preferences and targeted users’ requirements.
Backend Development
After getting approval on the UI/UX design of the stock trading app, it’s time for the development team to get into action. Write code with clear syntax to implement features and functions. Moreover, leverage an advanced technology stack, including AI, AR, ML, predictive analysis, etc., to provide users with an unparalleled experience and stay ahead in this competitive landscape.
Be extra attentive to backend components, including databases, APIs, servers, and others, to ensure the app’s smooth operation. Collaborate with your project managers and other team members to achieve this.
Quality Assurance and Testing
Let’s navigate to ensure the app is working fine by conducting a thorough testing process. Following different testing processes, we will comprehend the app’s functionality, security, integrity, unity, and reliability to see if there is any fault or error. This stage will involve various types of testing, including integration, unit, system, and user acceptance testing.
The testing loop will continue until the AI stock trading app is error-free. Moreover, you can also go for beta testing, and based on user feedback, you can make changes to your app.
App Deployment
It’s time to deploy your WeBull like app on selected platforms such as the Google Play Store and Apple App Store. To launch the app smoothly, you need to follow specific app store optimization guidelines. Get the assistance of experts to submit the app efficiently for global audiences.
After submitting, you must monitor the app continuously to ensure it is error-free and apply effective marketing strategies to promote it worldwide.
Read More: Trading Platform Development – Cost and Key Features
How Much Does it Cost to Develop an AI Trading App like WeBull?
The cost to develop an AI trading app like WeBull depends on various aspects, such as the app’s complexity, features, functions, technologies, development team, UI/UX design, and more. If you want to develop a simple app with basic features, it will cost you less than a large-scale app with advanced features:
Check out the different mobile app development costs below:
- Simple Application: $25,000 to $40,000
- Medium-sized Application: $40,000 to $80,000
- Large-scale Applications: $80,000 to $150,000
To Conclude,
We hope you got all the details about AI trading app development from the above article. Considering the increasing craze for stock trading apps among people, businesses have the right opportunity to invest in this lucrative sector. Getting help from a leading stock trading app development company like Octal IT Solution will be helpful, as enterprises can leverage our experience and expertise.
With our focus on efficiency, innovation, and industry insights, we ensure that our clients receive their desired solutions using the best technologies and approaches. Our commitment to excellence and dedication make us stand apart from others.
You can connect with us anytime to get our assistance!
FAQs
The WeBull clone app allows users and traders to perform several tasks, including trading stocks, cryptocurrencies, forex, ETFs, ADRs, paper trading, and over-the-counter.
Yes, stock trading app development requires strict compliance with different financial regulations, such as MiFID II (Europe), SEC (USA), and ASIC (Australia). You must also ensure GDPR compliance for data security, KYC/AML verification, and secure transactions to avoid legal issues.
AI optimizes trading strategies by evaluating market trends, historical data, and sentiments in real time. It improves algorithmic trading, decision-making with predictive analytics, and risk assessment.
AI stock trading app development can be a lucrative opportunity for enterprises. To maximize revenue and profits, they can apply an effective monetization model, including app subscriptions, commission fees, in-app purchases, advertising, referral programs, etc.