Build 85% Winrate trading bots ,without coding algorithmic trading strategies by combining algo and AI Trading
β±οΈ Length: 5.4 total hours
β 4.42/5 rating
π₯ 1,657 students
π October 2025 update
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- Course Overview
- Demystify algorithmic trading and empower individuals to participate in automated market execution without the barrier of traditional programming.
- Explore the foundational principles of how machines interact with financial markets to execute trades based on predefined logic.
- Trace the historical progression of automated trading, from early rule-based systems to the sophisticated AI-driven approaches of today.
- Understand the strategic advantages and potential pitfalls associated with deploying automated trading systems.
- Gain exposure to the diverse landscape of financial instruments amenable to algorithmic strategies, including equities, foreign exchange, and digital assets.
- Grasp the fundamental mechanics of market operations, such as order placement, the bid-ask differential, market depth, and various trade execution methodologies.
- Discover how to leverage cutting-edge no-code platforms to design, backtest, and deploy trading algorithms with unprecedented ease.
- Learn to construct sophisticated trading strategies by visually assembling logical components, eliminating the need for complex scripting.
- Gain practical experience in testing the efficacy of your non-coded strategies against historical market data to refine performance.
- Understand the principles of risk management within automated trading, including position sizing and stop-loss mechanisms, adaptable through no-code interfaces.
- Explore the concept of market microstructure and how algorithmic execution can optimize trade slippage and improve fill rates.
- Learn to integrate sentiment analysis and other AI-driven signals into your trading strategies using visual programming tools.
- Understand the ethical considerations and regulatory landscape surrounding algorithmic trading.
- Develop an intuition for identifying market inefficiencies that can be exploited by automated strategies.
- Build a portfolio of tested, no-code trading bots ready for live deployment or further refinement.
- Requirements / Prerequisites
- A fundamental understanding of financial markets and basic trading terminology is beneficial but not strictly required.
- Access to a reliable internet connection for accessing online platforms and course materials.
- A personal computer or laptop capable of running web-based applications.
- An open mind and a willingness to experiment with new technologies and strategies.
- No prior programming or coding experience is necessary.
- Curiosity about how technology is shaping the future of finance.
- A desire to take a more systematic and data-driven approach to trading.
- Skills Covered / Tools Used
- No-Code Algorithmic Strategy Development: Proficiency in visual programming environments for creating trading logic.
- Platform Navigation and Utilization: Expertise in using specialized no-code trading platforms.
- Strategy Design and Optimization: Ability to conceptualize and refine trading rules through visual interfaces.
- Backtesting and Performance Analysis: Skills in evaluating strategy effectiveness using historical data.
- Risk Management Integration: Implementing risk controls within no-code strategy builders.
- Asset Class Familiarity: Understanding how strategies can be applied across stocks, forex, crypto, etc.
- Understanding of Order Types and Execution: Grasping the nuances of market interaction.
- Introduction to AI Integration: Familiarity with incorporating AI signals into strategies visually.
- Systematic Trading Approach: Cultivating a disciplined and logical method for trading.
- The selected no-code trading platforms will be the primary tools used throughout the course.
- Benefits / Outcomes
- Empowerment to build and deploy automated trading systems independently, regardless of coding ability.
- Potential for enhanced trading efficiency and discipline by removing emotional decision-making.
- Opportunity to explore and capitalize on market opportunities 24/7, potentially increasing trading frequency.
- Develop a more systematic and data-driven approach to trading, leading to potentially improved consistency.
- Gain a competitive edge by leveraging automation in a rapidly evolving financial landscape.
- Unlock new avenues for generating passive income through automated trading strategies.
- Build confidence in your trading abilities by testing and refining strategies in a controlled, simulated environment.
- Understand the practical application of AI in financial markets without requiring deep technical knowledge.
- Acquire a valuable skillset that bridges the gap between traditional trading and modern technological approaches.
- Potentially achieve a higher win rate (as per course caption) by implementing refined, data-backed strategies.
- Become a more informed participant in the financial markets, understanding both the strategy and the technology.
- Contribute to a more efficient and accessible financial trading ecosystem.
- PROS
- Highly Accessible: Eliminates the steep learning curve associated with traditional programming for algorithmic trading.
- Practical Focus: Emphasizes building and deploying functional trading bots.
- Time-Efficient Learning: Designed for beginners to grasp core concepts and practical application quickly.
- Empowering: Gives individuals the tools to compete in automated trading without specialized degrees.
- Potential for High Win Rates: The course explicitly aims to teach strategies that can lead to improved performance.
- CONS
- Limited Customization Depth: No-code platforms may offer less granular control compared to custom-coded solutions for highly advanced or niche strategies.
Learning Tracks: English,Finance & Accounting,Investing & Trading
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