🎓 **Course Title:** Crypto Trading Mastery — From Basics to Advanced Algorithmic Trading
🧠 **Level:** Beginner to Advanced
🕒 **Duration:** 3 Months
🎯 **Goal:** Become a profitable, disciplined crypto trader skilled in technical analysis, on-chain analytics, risk management, algo trading & market psychology.
🔹 **Month 1: Foundations of Crypto Trading**
📘 **Week 1: Introduction to Cryptocurrency & Blockchain**
• What is cryptocurrency?
• Blockchain fundamentals (blocks, nodes, consensus)
• Bitcoin vs Ethereum vs Altcoins
• Layer 1 vs Layer 2
• CEX vs DEX
• Stablecoins & how they work
• Market cycles: accumulation → uptrend → distribution → downtrend
🧪 **Exercise:** Create accounts on Binance/Bybit + practice with Testnet.
📘 **Week 2: Crypto Market Structure**
• Understanding liquidity, volume, volatility
• Order types: market, limit, stop-limit
• Spot vs Futures trading
• Funding rates
• Liquidations & leverage
• Slippage + spread
• Candlesticks, timeframes & OHLC data
• Market Maker vs Taker principles
🧪 **Exercise:** Observe funding rate changes & predict long/short bias.
📘 **Week 3: Technical Analysis (TA) — Core Concepts**
• Support & Resistance
• Trends, channels, breakouts
• Chart patterns: triangles, wedges, flags, M/Shaped tops
• Indicators: RSI, MACD, MA/EMA/SMA, Volume Profile
• Fibonacci retracements
• Divergences
🧪 **Exercise:** Analyze 3 crypto charts & identify S/R + trend + pattern.
📘 **Week 4: Advanced TA + Strategy Building**
• Multi-timeframe analysis
• Breakout vs Breakdown confirmation
• Liquidity zones & sweeps
• Order block basics
• Smart money concepts (SMC) intro
• Risk-to-reward (R:R) & position sizing
• Building a professional trading setup
• Backtesting basics
🧪 **Mini Project:** Build your first spot-trading strategy using TA rules.
🔹 **Month 2: Fundamental, On-Chain, Futures Trading & Risk**
🔍 **Week 5: Crypto Fundamentals & Tokenomics**
• Whitepaper reading
• Supply models: fixed, inflationary, deflationary
• Token utility & ecosystem value
• Valuation metrics: NVT, Market Cap, FDV
• Roadmaps, governance & treasury
• Sector understanding: AI coins, MEME, LSD, L2s, RWA, DeFi
🧪 **Exercise:** Analyse tokenomics of 2 projects & write a summary.
🔗 **Week 6: On-Chain Analysis**
• Blockchain explorers (Etherscan, Solscan)
• On-chain indicators: Active addresses, Exchange inflow/outflow, Whales tracking, MVRV
• Smart contract basics
• DeFi analytics: DEX liquidity, TVL, yield farming
• Tools: Nansen, Glassnode, IntoTheBlock
🧪 **Mini Project:** Track whale movements & determine bullish/bearish signals.
⚡ **Week 7: Futures Trading & Leverage Mastery**
• Margin, leverage, cross vs isolated
• Liquidation price calculation
• Funding rates trading
• Long/Short strategies
• Scalping, Day trading, Swing trading
• Hedge trading with futures when holding spot
• Common mistakes beginners make
🧪 **Exercise:** Create 3 futures trades on Testnet with proper R:R.
🧠 **Week 8: Risk Management & Trading Psychology**
• Creating risk rules (1% rule, max daily risk, R:R)
• Avoiding overtrading & emotional trades
• Building discipline
• Drawdown recovery
• Psychological biases (FOMO, FUD, greed, revenge trading)
• Creating a trading journal
• Avoiding scams, pump-dumps, rug pulls
🧪 **Project:** Build your own 12-rule personal risk management system.
🔹 **Month 3: Algo Trading, DeFi, Security & Capstone**
🤖 **Week 9: Algorithmic Crypto Trading**
• What is algo trading?
• Time-series modeling
• Strategy building: momentum, mean reversion, breakout
• Backtesting with Python
• API trading (Binance/Bybit)
• Grid bots, DCA bots
• Running bots on cloud servers
• Intro to machine learning for crypto price prediction
🧪 **Exercise:** Backtest a simple momentum strategy on BTC/ETH.
💱 **Week 10: DeFi Trading & Passive Income**
• AMMs (Uniswap, Raydium, PancakeSwap)
• LP tokens & impermanent loss
• Yield farming
• Staking & liquid staking (LSDs)
• Lending protocols (Aave, Compound)
• Perp DEX trading (GMX, dYdX, Drift)
• Arbitrage basics: DEX ↔ CEX, Cross-chain, Triangular arbitrage
🧪 **Mini Project:** Calculate impermanent loss for a liquidity pool.
🔐 **Week 11: Wallet Security & Portfolio Management**
• Hot vs cold wallets
• Private key safety
• Multi-sig basics
• Hardware wallet usage
• Portfolio diversification (High-cap, mid-cap, low-cap)
• DCA vs lump-sum investing
• Exit strategy planning
• Tax basics (India included)
🧪 **Exercise:** Create a diversified 6-coin long-term portfolio.
🏆 **Week 12: Career Prep + Capstone**
• Becoming a professional crypto trader
• How to join trading desks, prop firms, quant crypto firms
• Setting up a trading office/home setup
• Freelancing as a Trading Strategy Developer
• Building a trading portfolio to showcase
🧪 **Capstone Project (Choose One):**
• A complete crypto trading strategy with backtest
• Futures scalping strategy with strict risk rules
• On-chain analytics dashboard
• Automated trading bot with API
• A DeFi yield farming optimization strategy
• A whale-tracking signal generator
📦 **Tools & Platforms Covered:**
**Trading Platforms:** Binance, Bybit, KuCoin, TradingView, DexTools, DexScreener
**On-Chain Tools:** Etherscan, Solscan, Nansen, Glassnode
**Algo Trading:** Python, Pandas, NumPy, Backtrader, CCXT, Binance/Bybit API
**DeFi Tools:** Uniswap, PancakeSwap, Raydium, Aave, Compound, GMX, dYdX
🏁 **Final Outcome:**
By the end of this course, you will be able to:
✔ Trade spot & futures with confidence
✔ Use technical + fundamental + on-chain analysis together
✔ Build profitable trading strategies
✔ Automate trades using APIs
✔ Understand DeFi, yield farming & arbitrage
✔ Manage risk like a professional trader
✔ Build a portfolio & trading track record
✔ Qualify for roles such as: Crypto Trader, Quant Crypto Researcher, DeFi Analyst, Algo Trading Developer, Crypto Portfolio Manager
Create accounts on Binance and Bybit, complete KYC verification, and practice trading on their testnet environments. Document your experience with screenshots and notes on order types and interface navigation.
Monitor funding rates for BTC and ETH perpetual futures over 48 hours. Document rate changes, correlate with price movements, and predict long/short bias. Create a simple spreadsheet tracking funding rates vs price action.
Analyze 3 different cryptocurrency charts (BTC, ETH, and one altcoin) on TradingView. Identify support/resistance levels, trend direction, and at least one chart pattern. Create annotated screenshots with your analysis and submit a brief report.
Build your first complete spot trading strategy using technical analysis rules. Define entry/exit criteria, position sizing, and risk-to-reward ratio. Backtest the strategy on historical data for at least 20 trades and document results in a trading journal format.
Select 2 cryptocurrency projects (one Layer 1 and one DeFi token) and analyze their tokenomics. Read their whitepapers, evaluate supply models, token utility, and valuation metrics. Write a comprehensive 1000-word report comparing both projects.
Use Etherscan or Solscan to track whale wallet movements for a major token over one week. Monitor exchange inflows/outflows, large transactions, and correlate with price movements. Create a simple dashboard or report showing bullish/bearish signals based on whale activity.
Create 3 futures trades on testnet using proper risk management. Calculate liquidation prices, use appropriate leverage (max 5x), and ensure minimum 2:1 risk-to-reward ratio. Document each trade with entry, stop-loss, take-profit, and reasoning. Track results over 5 days.
Develop your own 12-rule personal risk management system covering position sizing, daily loss limits, maximum drawdown rules, leverage limits, and psychological guidelines. Create a comprehensive document with explanations for each rule and how to implement them in practice.
Develop and backtest a simple momentum trading strategy for BTC/ETH using Python. Use historical price data, implement entry/exit signals based on moving averages and RSI, and calculate key performance metrics including win rate, Sharpe ratio, and maximum drawdown.
Calculate impermanent loss for a liquidity pool (e.g., ETH/USDC on Uniswap) under different price movement scenarios. Create a spreadsheet or Python script that shows IL percentages for price changes from -50% to +100%. Include visualizations and explain the results.
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PDF • 2.4 MB • Updated today
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Design System • Community File
New Session • June 17, 2025
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