Point & Figure

P&F charts completely remove the time dimension - they only show price movement. Instead of bars per time period, they use X's (up) and O's (down) that only appear when price moves by the box size. This creates a very different visual but provides the clearest view of pure supply and demand without time-based noise.

Start with traditional guidelines: $0.50 boxes for stocks under $20, $1 for $20-$100, $2 for $100-$200, $4+ for higher. Alternatively, use ATR(14) as box size for volatility adaptation, or 1-2% of price. The goal is a chart that shows meaningful moves without too much or too little detail. Too many columns = boxes too small; too few = boxes too large.

A Double Top Breakout occurs when an X column exceeds ONE previous X column high. A Triple Top Breakout occurs when an X column exceeds TWO previous equal (or nearly equal) X column highs. Triple Top is stronger because resistance was tested twice before breaking. More tests = more significance when finally broken.

There's no fixed time - that's P&F's nature. A pattern might form in days or months. Since time is ignored, you focus on price structure, not duration. Generally, wider patterns (more columns) take longer and produce larger targets. A complex pattern like a Fulcrum might take months of price action to complete.

P&F is generally better suited for position trading (weeks to months). The 3-box reversal rule filters out smaller moves that day traders rely on. If you want to use P&F concepts for shorter-term trading, you could use 1-box reversal or very small box sizes, but this somewhat defeats P&F's noise-filtering purpose. Most P&F traders are position or swing traders.

Start from a significant low (for bullish support) or high (for bearish resistance). Draw the line at exactly 45 degrees - moving one box up (or down) for each column to the right. On most charting software, use a 1:1 angle tool. The line acts as support/resistance until broken. A break of the 45° line is significant and may signal trend change.

Use Horizontal Count when there's a clear consolidation base (multiple columns at similar levels). Count the base width for the target. Use Vertical Count when there's no clear base or for a quick estimate from the breakout thrust. Count the boxes in the first thrust column. Many traders calculate both and use the average or more conservative target.

A Catapult is: (1) Initial breakout (e.g., Double Top), (2) Pullback (O column that doesn't break the pattern low), (3) Second breakout (new X column exceeds the first breakout high). It's a confirmation pattern - the pullback tests the breakout and holds, then continues. Catapults are high-reliability patterns because they show the breakout was 'retested' successfully.

The Bullish Percent Index (% of stocks with P&F buy signals) helps with sector allocation: Below 30% = oversold, consider adding exposure to the sector. 30-50% = healthy, room for gains. 50-70% = extended but still potentially bullish. Above 70% = overbought, reduce new longs, tighten stops. It's a contrarian indicator at extremes.

Yes, and many traders do. Use P&F for pattern identification and price targets, then switch to regular charts for precise entry timing. For example, P&F shows Double Top Breakout - switch to daily candles to find specific entry (maybe a pullback to support) and set exact stop level. P&F for 'what' to trade, regular charts for 'when' and 'where.'

Define patterns algorithmically (e.g., Double Top = current_X_high > previous_X_high). Set entry rules (buy on pattern completion), exit rules (opposite pattern or target), and stop rules (below pattern low). Calculate position size based on stop distance. Backtest across instruments, track win rate and R-multiple. Key metrics: target hit rate, average columns held, max drawdown. Walk-forward validate.

P&F's lack of time dimension conflicts with options' time decay. Solutions: (1) Use LEAPS (6-12+ month DTE) to give patterns time to play out, (2) Use P&F targets for strike selection (short strike at target for spreads), (3) Accept that many P&F signals won't work within shorter option timeframes, (4) Consider P&F for stock positions and separate options analysis for options.

Key considerations: (1) Use daily or tick data to calculate P&F (end-of-day data is common), (2) Clearly define pattern completion (exact box where signal triggers), (3) Track entry price at signal, not P&F theoretical level, (4) Measure actual price targets hit vs P&F projected targets, (5) Test multiple box sizes (0.5×, 1×, 1.5× ATR), (6) Walk-forward validate to avoid curve fitting, (7) Long test periods needed due to slower signal generation.

Institutions use P&F for: (1) Long-term trend identification free from noise, (2) Sector analysis via Bullish Percent Indices, (3) Price target calculation for position sizing and profit-taking, (4) Relative strength analysis (P&F of ratio charts), (5) Major support/resistance identification. Many institutions have P&F as one component of multi-factor analysis rather than sole method. It excels at the big picture.

Pitfalls: (1) Incorrect reversal rule implementation (must be 3× box from column START, not last box), (2) Not handling partial boxes correctly (price doesn't quite reach next box), (3) Confusing signal generation with execution price (P&F level vs market price), (4) Ignoring that multiple patterns might trigger simultaneously, (5) Not accounting for gaps (single event creating multiple boxes), (6) Over-optimizing box size to historical data. Test against known-good P&F charting platforms.