📚 Stock Market Education Hub
Learn what moves markets — and why. Free, structured courses on data-driven investing, AI analysis, and institutional intelligence.
6
Learning Tracks
30+
Lessons
100%
Free
🛠️ Practice with Live Data
📈
Beginner
Price-Volume Analysis
Master the most fundamental market signal — the relationship between price movement and trading volume.
- 1 Why Volume Matters More Than Price Volume confirms price action. A 5% rally on low volume is suspicious — on high volume, it's conviction. Learn to distinguish moves that stick from those that fade.
- 2 Reading Delivery Volume vs. Traded Volume Traded volume includes intraday speculation. Delivery volume shows who's actually taking positions home. Stocks with >50% delivery ratio on up-days signal genuine institutional accumulation.
- 3 Volume Profile — Where the Action Clusters Volume at Price (VAP) reveals support & resistance zones better than traditional lines. Learn to read horizontal volume bars and identify Point of Control (PoC).
- 4 OBV, VWAP & Volume Oscillators On-Balance Volume trends divergences, Volume Weighted Average Price for intraday anchoring, and Chaikin Money Flow for accumulation/distribution detection.
- 5 Spot Volume Climax & Exhaustion Extreme volume spikes at tops = distribution (smart money selling to retail FOMO). At bottoms = capitulation (forced selling). Learn to identify these reversal signals.
- 6 DalalAI's Delivery-Volume-Momentum (DVM) Score How we combine delivery %, volume surge, price momentum, and trend into a single 0–100 score for every NSE stock. See it live on the dashboard.
Delivery Ratio
Percentage of traded shares actually delivered (settled). High = genuine interest.
DR = Delivery Qty / Traded Qty × 100OBV (On-Balance Volume)
Cumulative volume indicator. Adds volume on up-days, subtracts on down-days.
OBV = Σ(vol × sign(close - prev_close))VWAP
Average price weighted by volume. Institutional benchmark — above VWAP = bullish intraday.
VWAP = Σ(price × vol) / Σ(vol)🏦
Intermediate
Institutional Flow Intelligence
Decode where smart money flows. Understand FII/DII dynamics, bulk deals, and insider activity.
- 1 FII vs DII — Who Drives Indian Markets? FIIs move markets short-term through massive capital flows tied to global risk appetite. DIIs (mutual funds, insurance, banks) provide stability. When they diverge, watch out.
- 2 Reading Bulk & Block Deal Patterns When institutions need to buy/sell large blocks (>0.5% of shares), it shows up in bulk deals. Track who's accumulating and who's exiting — before the news breaks.
- 3 Insider Trading Signals (Legal Filings) SEBI requires insiders to disclose trades. A promoter buying shares = confidence signal. A CFO selling = potential red flag. Learn to parse SAST disclosures.
- 4 MF Holdings Changes & Smart Flows Track which stocks mutual funds are accumulating month-over-month. Rising MF holdings + rising delivery volume = structural demand building.
- 5 DalalAI's Smart Money Composite Index We combine FII/DII flows, promoter buying, MF accumulation, bulk deals and delivery data into one Smart Money score. Learn how each input is weighted and why.
- 6 Case Study: Flow Divergence in Action Real examples of when FII selling + DII buying marked a bottom, and when unified selling confirmed a bear phase. Patterns you can track on our free FII/DII tracker.
FII Net Flow
FII Buy - FII Sell = Net foreign capital inflow/outflow. Aggregated daily from NSE data.
FII Net = FII Buy - FII Sell (₹ Cr)Bulk Deal Threshold
Trade exceeding 0.5% of equity shares. Must be disclosed to exchange.
Qty ≥ 0.5% of total shares outstanding🔬
Advanced
AI Convergence Scoring
How DalalAI cross-references 6 independent signals to find stocks where everything aligns at once.
- 1 Why Single Indicators Fail (And Convergence Wins) RSI gives false signals 40% of the time alone. MACD lags. Moving averages whipsaw. But when 4+ signals agree simultaneously, the probability of a real move skyrockets.
- 2 The 6 Convergence Signals Explained Momentum (RSI/MACD alignment), Trend (MA crossovers), Volume (delivery confirmation), Smart Money (institutional activity), Fundamentals (earnings quality), and Analyst Consensus. Each scored 0–100.
- 3 Signal Strength vs. Signal Count A stock with 3/6 strong signals often beats one with 5/6 weak signals. Learn how DalalAI weights signal conviction, not just presence. The Resonance Bonus explains the rest.
- 4 Backtesting Convergence — Does It Actually Work? Our backtest shows: stocks scoring 70+ on convergence outperformed Nifty by 14% over 6-month holding periods. But there's survivorship bias to account for — here's how we handle it.
- 5 Reading the Convergence Scanner How to interpret the live scanner — color coding, conic gradients, signal-strength bars, and active signal tags. Plus: when high convergence is a trap (overextension risk).
Convergence Score
Weighted average of 6 sub-scores (0–100 each), with resonance bonus when >4 agree.
CS = Σ(w_i × S_i) + resonance_bonusResonance Bonus
Extra points when 4+ signals cross bullish/bearish threshold simultaneously.
RB = 5 × (active_signals - 3) if active ≥ 4🛡️
Essential
Risk Management with Data
Protect your capital with data-driven position sizing, stop-losses, and portfolio allocation.
- 1 The Most Important Skill — Not Losing Money A 50% loss requires a 100% gain to recover. Risk management isn't about limiting upside — it's about ensuring you stay in the game long enough to benefit from compounding.
- 2 Position Sizing by Volatility Risking a fixed % of capital (1–2%) per trade, adjusted by each stock's ATR (Average True Range). Volatile stocks get smaller positions. Boring stocks get bigger ones.
- 3 Stop-Loss Strategies That Work in Indian Markets Percentage stops, ATR-based trailing stops, support-level stops. Why 5% mechanical stops don't work for mid/small caps — and what to use instead.
- 4 Correlation-Based Portfolio Construction Diversifying across sectors isn't enough if those sectors are correlated. Use DalalAI's correlation engine to build actually-diversified portfolios.
- 5 Market Regime-Aware Risk Allocation Reduce exposure in HIGH_VOL regimes, increase in TRENDING_UP. DalalAI's regime detection adapts risk recommendations automatically.
Kelly Criterion (Simplified)
Optimal bet sizing based on win rate and payoff ratio.
f* = (bp - q) / bATR-Based Stop
Stop placed at N × ATR below entry. Adapts to volatility automatically.
Stop = Entry - (2 × ATR₁₄)🌍
Intermediate
Market Regimes & Macro
Understand the market's character — trending, ranging, volatile — and adapt your strategy accordingly.
- 1 What Are Market Regimes? Markets cycle through distinct phases: trending up, trending down, ranging (sideways), and high volatility. Each demands different strategies. Trading a range like a trend (or vice versa) is why most lose money.
- 2 How DalalAI Detects Regime Changes We combine Nifty trend (EMA 20/50/200), VIX level + direction, market breadth (advance-decline), and sectoral rotation signals to classify the current regime in real time.
- 3 Sectoral Rotation — Following the Cycle Money flows from defensives → cyclicals → growth → speculation → crash → defensives. Track which sectors are leading/lagging using relative strength vs Nifty.
- 4 Global Triggers: DXY, US Yields, Crude, FII Flows Indian markets don't move in isolation. Dollar Index strength → FII outflow → bearish. Crude rising → inflation → RBI tightening. Learn the cross-asset linkages.
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Advanced
ML Prediction Models in Finance
How DalalAI uses machine learning to forecast stock movements — and why it's harder than it sounds.
- 1 Why Stock Prediction Is (Mostly) a Scam 99% of "AI prediction" tools are curve-fitted junk. We'll be blunt about what ML can and can't do in markets. Spoiler: it's about probabilistic edges, not crystal balls.
- 2 Feature Engineering for Financial ML Technical indicators, fundamental ratios, sentiment scores, macro variables — the raw inputs. Which features have predictive alpha and which are noise. Walk-forward testing is non-negotiable.
- 3 DalalAI's Model Architecture Gradient Boosted Trees for daily direction classification, with volume/delivery features weighted heavily. How we handle class imbalance, look-ahead bias, and data leakage prevention.
- 4 Measuring Accuracy Honestly DalalAI publicizes its prediction accuracy transparently — currently tracking ~65% directional accuracy. We'll explain precision vs recall, calibration plots, and why 65% with good risk management beats 50% with none.
- 5 Combining ML with Human Judgment The optimal approach: ML handles pattern recognition across 800 stocks. Humans handle context, news interpretation, and position management. DalalAI is your AI co-pilot, not autopilot.
Put your knowledge to work
DalalAI applies everything you just learned — automatically, across 800+ stocks, every single day. See AI convergence, institutional flows, and predictions in one dashboard.
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Disclaimer: This educational content is for informational purposes only and does not constitute investment advice. Stock market investments are subject to market risks, and past performance is not indicative of future results. DalalAI provides data-driven analytics — always do your own research and consult a SEBI-registered investment advisor before making investment decisions.