Technical Analysis Guide — Honest Version
Technical analysis is one of the most over-explained and least-honest fields in retail finance. Most guides give you indicators without context. This one tells you what each one actually measures, where its limitations are, and how to combine a small handful into a workable framework.
What TA can and can't do
Technical analysis describes what's already happened with price. It can identify trends, momentum, range, and probable support/resistance zones based on past behavior.
It cannot predict the future. Anyone claiming 'this pattern means price will go up next week' is selling a story. The right frame is probabilistic: 'when this setup occurs, the historical edge is X%.'
TA works on liquid, high-volume instruments where many traders watch the same levels (self-fulfilling reactions). It fails on thinly-traded names where any single order can break levels.
Support and resistance
Price often pauses or reverses at levels where prior highs/lows formed. The more times a level has been tested, the more meaningful it is — until it breaks, after which it often flips role.
Drawing support/resistance: focus on round numbers (clear psychological levels), prior swing highs/lows on a daily/weekly chart, and high-volume nodes (price levels where significant volume traded).
Don't draw 20 levels. Keep the chart to 2-4 meaningful S/R zones for each timeframe. More lines = more confusion, less actionable trading.
Trend identification
Uptrend = higher highs and higher lows on your timeframe. Downtrend = lower highs and lower lows. Sideways/range = no clear pattern.
Moving averages help: price above 50-EMA AND 50-EMA above 200-EMA = uptrend. Both flipped = downtrend. Use the 50/200 SMA cross (golden/death cross) as a long-term regime filter.
Trade with the trend. Counter-trend trades have to be precisely timed and disciplined. Most retail traders should default to trend-following until they've proven counter-trend skill over 200+ trades.
Momentum oscillators (RSI, MACD, Stochastic)
RSI: 0-100 scale. Above 70 = overbought, below 30 = oversold. Caveat: in strong trends, RSI stays extended. Don't fade RSI in trending markets.
MACD: difference between two EMAs (12, 26 by default). Crossovers are buy/sell signals; divergence with price warns of trend exhaustion.
Stochastic: how close the close is to the period's high. Above 80 = overbought, below 20 = oversold. More responsive than RSI; more false signals.
Pick one momentum indicator and learn it deeply. Three on one chart = analysis paralysis. RSI is the standard starting point.
Volume analysis
Volume confirms moves. A breakout on heavy volume is more meaningful than a breakout on light volume. Without volume, the move is suspect.
Volume spikes mark significant participation: either start of a move or capitulation at the end of one. Context matters — same spike can be either depending on where it occurs.
VWAP (Volume Weighted Average Price): the average price weighted by volume. Acts as dynamic support/resistance intraday. Institutional traders use VWAP as an execution benchmark.
Putting it together (no overload)
Sample workflow for swing trades: (1) identify trend on the daily chart, (2) wait for pullback to 20-EMA, (3) confirm with RSI above 40 (uptrend) or below 60 (downtrend), (4) enter on momentum break, (5) stop just below the swing low.
Skip what doesn't add value. If MACD and RSI tell you the same thing, you don't need both. Build a chart with 2-3 inputs you actually act on.
Test the framework on paper. Track 100 trades. Calculate win rate, average win, average loss. If positive expectancy, scale up slowly. If negative, refine before going live.
Putting it into practice
Theory without execution is wasted. To actually apply what's above, you need a scanner that publishes its track record (so you can test whether the patterns you're learning produce real edge):