NCFM Technical Analysis study plan
NCFM Technical Analysis · Give each week a clear focus.
8 weeks · About 7 hours per week
Basics of Technical Analysis & Charting and Chart Patterns
Define the core premises of technical analysis (price discounts everything, prices trend, history repeats) and state one limitation of each premise
Distinguish the six major chart types (line, bar, candlestick, point-and-figure, Renko, Heikin-Ashi) by construction and by what each obscures
Label the anatomy of a candlestick (real body, upper and lower shadow, open, close, high, low) and decode 10 given OHLC rows into bullish, bearish, or indecision candles
Compute simple support/resistance levels from a supplied 30-bar OHLC table by identifying swing highs and swing lows
Your checkpoint
A one-page chart-type comparison table plus 10 decoded candlestick examples with written rationale.
Charting and Chart Patterns
Identify and sketch reversal patterns (head and shoulders, double and triple top/bottom, rounding bottom) with their confirmation and measured-move rules
Identify and sketch continuation patterns (triangles, flags, pennants, rectangles, cup and handle) and state the volume behaviour expected in each
Apply measured-move targets to five pattern examples and record the implied target price
Explain the role of volume confirmation and distinguish a genuine breakout from a false breakout
Your checkpoint
A pattern playbook of 12 patterns, each with entry trigger, invalidation level, measured-move target, and expected volume signature.
Trend Lines, Support and Resistance & Charting and Chart Patterns
Draw trend lines on supplied price series and classify each trend as up, down, or sideways using higher highs/higher lows logic
Mark support and resistance zones and explain why zones outperform single price lines
Explain role reversal (support becoming resistance and vice versa) with two worked examples
Relate chart patterns from week 2 to the trend line and support/resistance structure that contains them
Your checkpoint
Five annotated chart descriptions (text-based) with trend lines, support/resistance zones, and a stated bias for each.
Moving Averages and Indicators
Compute simple, weighted, and exponential moving averages by hand for a 10-period series and compare the outputs
Explain how the smoothing constant in an EMA relates to its responsiveness and lag
Generate crossover signals (price/MA and MA/MA) on a supplied series and tabulate entries and exits
Identify the failure mode of moving averages in range-bound markets and propose a filter to reduce whipsaw
Your checkpoint
A worked spreadsheet-style calculation showing SMA, WMA, and EMA on the same 10-period data with a written comparison of lag.
Moving Averages and Indicators & Oscillators and Momentum Studies
Distinguish trend-following indicators (moving averages, MACD, ADX, Parabolic SAR) from oscillators (RSI, stochastic, Williams %R, CCI) by intended market condition
Compute RSI and stochastic values for supplied price data and interpret overbought/oversold readings without treating them as automatic reversal signals
Explain MACD line, signal line, and histogram construction and interpret a bearish and bullish divergence
Describe how Bollinger Bands and Average True Range are constructed and what they measure (volatility, not direction)
Your checkpoint
An indicator reference sheet covering MACD, RSI, stochastic, ADX, Bollinger Bands, and ATR with formula, interpretation, and one failure scenario each.
Oscillators and Momentum Studies
Detect bullish and bearish divergence between price and an oscillator across five supplied examples
Explain oscillator failure swings and when overbought can persist in a strong trend
Combine one trend indicator and one oscillator into a stated rule set and back-test it mentally against 20 historical bars
Distinguish momentum, rate of change, and rate of change of momentum conceptually
Your checkpoint
A written trading rule set pairing a trend filter with an oscillator trigger, tested against 20 bars with a tally of wins and losses.
Trading Systems and Money Management & Moving Averages and Indicators
Define position sizing by fixed fractional risk and compute position size given account equity, risk percentage, entry, and stop
Compute risk-reward ratio and expectancy for a 30-trade sample and state the minimum win rate required to break even at a given ratio
Explain maximum drawdown, and describe why risk of ruin rises with position size even at positive expectancy
Describe how to design and record a simple system's rules, and why forward testing follows backtesting
Your checkpoint
A money-management worksheet computing position size, risk-reward, expectancy, and break-even win rate for three scenarios.
Basics of Technical Analysis & Charting and Chart Patterns & Trend Lines, Support and Resistance & Moving Averages and Indicators & Oscillators and Momentum Studies & Trading Systems and Money Management
Consolidate all six domains into a single-page summary map linking each domain to its core formulas and decision rules
Complete a timed 60-question self-test and review every wrong answer against the source domain
Re-derive from memory the formulas for EMA, RSI, stochastic, ATR, position size, and expectancy
Identify the three weakest sub-topics and produce targeted remediation notes for each
Your checkpoint
A timed self-test score sheet with error analysis and a one-page formula and rule summary map.
Milestones
Week 2: Can name and describe 12 chart patterns with entry, invalidation, and measured-move target without notes.
Week 4: Can compute SMA, WMA, and EMA for a 10-period series by hand and explain the lag differences in under five minutes.
Week 6: Can state a complete trading rule set using one trend filter and one oscillator, with the rule logic written out and justified.
Week 8: Scores at least 70 percent on the timed 60-question self-test and has remediation notes for every missed item.