ALGORITHMIC TRADING COURSES
Trading Made Easy: Build & Test Strategies With Coding Skills!
Master Algorithmic Trading Through Programming
Module 1: Introduction to Algorithmic Trading
1. What is Algorithmic Trading?
- • Definition and basics
- • Advantages and limitations
- • Comparison with manual trading
2. Types of Algorithmic Trading Strategies
- • Trend-following strategies
- • Mean reversion strategies
- • Arbitrage strategies
- • Market-making strategies
- • Statistical arbitrage
3. Market Participants and Their Roles
- • Retail traders vs. institutional investors
- • Role of market makers and high-frequency traders
4. Understanding Financial Markets
- • Forex, stocks, commodities, and cryptocurrencies
- • Exchanges and brokers
- • Order types and execution models
Module 2: Basics of Trading Systems and Programming
1. Key Concepts in Trading Systems
- • Backtesting, forward testing, and paper trading
- • Performance metrics: Sharpe ratio, maximum drawdown, risk-adjusted returns
2. Programming for Algo Trading
- • Introduction to coding languages: Python, R, and JavaScript
- • Setting up development environments (IDE, Jupyter Notebook)
- • Basics of data structures, loops, and conditionals for trading
3. Technical Indicators and Programming
- • Implementing indicators like Moving Averages, RSI, MACD in code
- • Creating custom indicators
4. Understanding Timeframes and Chart Types
- • Coding strategies for intraday, daily, and weekly trading
- • Programming candlestick patterns and chart visualizations
Module 3: Strategy Building and Backtesting with Code
1. Introduction to Coding Platforms
- • Overview of coding environments like Python, R, and JavaScript libraries
- • Setting up API connections for market data
2. Building Strategies from Scratch
- • Defining entry and exit rules using code
- • Writing scripts for backtesting strategies
3. Optimization of Trading Strategies
- • Parameter optimization techniques using coding
- • Implementing stop-loss, take-profit, and risk management in code
Trading Made Easy: Build & Test Strategies Without Coding!
Master Algorithmic Trading – No Programming Required
Module 1: Introduction to Algorithmic Trading
🔰
1. What is Algorithmic Trading?
-
• Definition and basics
Learn how automated trading systems work without technical complexity
- • Advantages and limitations
- • Comparison with manual trading
2. Types of Algorithmic Trading Strategies
-
• Trend-following strategies
Visual approach to understanding market trends
- • Mean reversion strategies
- • Arbitrage strategies
- • Market-making strategies
- • Statistical arbitrage
3. Market Participants and Their Roles
- • Retail traders vs. institutional investors
- • Role of market makers and high-frequency traders
4. Understanding Financial Markets
- • Forex, stocks, commodities, and cryptocurrencies
- • Exchanges and brokers
- • Order types and execution models
Module 2: Basics of Trading Systems and Indicators
📊
1. Key Concepts in Trading Systems
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• Backtesting, forward testing, and paper trading
Interactive platform demonstrations without coding
- • Performance metrics: Sharpe ratio, maximum drawdown
2. Essential Technical Indicators
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• Moving averages, RSI, MACD, Bollinger Bands
Visual guide to understanding technical indicators
- • Volume-based indicators: VWAP, OBV
- • Volatility indicators: ATR, Beta
3. Understanding Timeframes and Charts
- • Intraday, daily, and weekly strategies
- • Candlestick patterns and chart types
Module 3: Building Strategies without Coding
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1. Introduction to No-Code Platforms
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• Overview of popular no-code platforms
TradingView, QuantConnect, Capitalise.ai platforms walkthrough
- • Setting up a no-code platform account
2. Creating and Testing Strategies
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• Step-by-step guide to building basic strategies
Visual strategy builder tutorials
- • Defining entry and exit rules using indicators
- • Backtesting without coding
3. Strategy Optimization
- • Adjusting parameters for optimal performance
- • Setting stop-loss and take-profit levels
- • Applying trailing stops and risk management