🎓 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