01
Trading Systems and Backtesting
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Building a Trading System
- Define Rules — exact entry and exit conditions with no ambiguity
- Backtesting — apply your rules to historical data to see how the strategy performed
- Forward Testing — test on live (but unseen) data without real money
- Paper Trading — simulate real trading environment with virtual money before going live
Backtesting Pitfalls
OverfittingStrategy works on historical data only; too curve-fitted
Look-ahead BiasUsing future data accidentally in backtest
Survivorship BiasOnly testing on companies that still exist (ignoring failed ones)
SlippageReal execution prices differ from backtested prices
🛠️ Tools for Backtesting
TradingView (Pine Script), Amibroker, Python (backtrader, vectorbt), Zerodha's Streak (India). Always include transaction costs in backtests.
02
Algorithmic Trading
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What is Algo Trading?
Algo trading uses computer programs to execute trades automatically based on predefined rules and conditions — eliminating emotions and enabling high-speed execution.
- Indicator-Based Bots — execute trades when RSI, MACD, MA crossover conditions are met
- API Trading — connect to broker API (Zerodha Kite, Fyers) to place orders programmatically
- Risk Automation — auto stop-loss, position sizing, max daily loss limits
- HFT — High Frequency Trading; microsecond execution (requires institutional infrastructure)
Getting Started
PythonMost popular language for retail algo trading
Zerodha Kite APIIndia's most popular broker API for retail algo
StreakNo-code algo strategy builder for Indian markets
vectorbtFast Python library for strategy backtesting
💡 Realistic Expectation: Algo trading requires programming skills, strategy development, and constant monitoring. It's a tool to execute your edge — not a magic money printer.
03
Behavioral Finance
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Cognitive Biases That Hurt Investors
Overconfidence BiasBelieving you know more than you do; over-trading
Loss AversionPain of losses 2× stronger than pleasure of gains; holds losers too long
Confirmation BiasSeeking information that supports your existing view; ignoring contrary evidence
Anchoring BiasOver-relying on first piece of information (e.g., "I bought at ₹100, I'll sell when it's back to ₹100")
Recency BiasOverweighting recent events; assuming current trend will continue forever
Disposition EffectSelling winners too early, holding losers too long
🧠 Key Insight
You can't eliminate biases, but you can create systems to counteract them — pre-defined rules, trading journals, checklists. The best traders are self-aware of their psychological weaknesses.
04
Advanced Market Tools
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Professional Trading Tools
Level 2 DataFull order book showing all pending buy/sell orders at every price
Market DepthVisualizes supply and demand at various price levels in real time
Tape ReadingAnalyzing time & sales data to identify large trades and institutional activity
Volume ProfileDistribution of volume traded at each price level; identifies value areas and POC
Options ChainFull view of all strikes and expiries; OI, PCR, IV analysis
PCRPut-Call Ratio: contrarian sentiment indicator for market direction
💡 Volume Profile: The Point of Control (POC) — the price with the highest volume — often acts as strong support or resistance. This is highly used by institutional traders.
05
Trading Psychology & Discipline
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Building a Professional Routine
- Pre-Market Prep — review global cues, FII data, economic events, watchlist setup
- Trading Journal — record every trade: entry, exit, reason, emotion, outcome. Review weekly
- Max Daily Loss Rule — if you lose X% in a day, stop trading. No revenge trades
- Emotional Control — build routines that keep you calm: meditation, exercise, sleep
- Handling Losses — losses are tuition fees. Accept, learn, don't repeat
- Screen Time — reduce staring at screen; more chart time ≠ better trades
📔 Trade Journal Template
Date · Symbol · Direction · Entry · Stop · Target · Setup Type · Result · Emotion Score (1–10) · What I Did Well · What to Improve
💎 Ultimate Insight: Trading is 20% strategy and 80% psychology. The market will test your patience, discipline, and ego. Those who master themselves, master the market.
🏁
Final Mastery Checklist
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To Be Considered Advanced, You Must Understand:
Financial statements — Income, Balance Sheet, Cash Flow
Stock valuation — P/E, DCF, EV/EBITDA, DDM
Candlestick psychology and pattern recognition
Risk management — position sizing, stop loss, R:R ratio
Options Greeks — Delta, Gamma, Theta, Vega
Options strategies — spreads, condors, straddles
Portfolio management — diversification, rebalancing, Sharpe ratio
Market psychology — fear/greed, FOMO, herd mentality
Backtesting strategies with realistic assumptions
Macro analysis — interest rates, inflation, sector rotation
🏗️ Hands-on Projects to Master the Market
Project 1: Stock WatchlistTrack 10 companies. Compare quarterly earnings and revenue growth
Project 2: TA PracticeMark S/R levels. Apply RSI + Moving average strategy on paper
Project 3: Mock PortfolioBuild a 5-stock paper portfolio. Diversify by sector. Rebalance monthly
Project 4: Options SimPaper trade a covered call. Track theta decay and IV changes daily