Candlestick patterns: context, confirmation, and failure
Read candle bodies and wicks, understand engulfing and rejection patterns, and avoid treating a single candle as a guaranteed reversal.
The trading library · 21 guides
Understand the signal.
Technical analysis, from the first candle to a tested trade plan. Learn what each tool measures, where it fails, and how to evaluate the evidence before risking capital.
Foundations
Market structure and price action: read the context first
Learn to distinguish trends, ranges, and transitions using swing highs, swing lows, and candle closes before evaluating a trading signal.
Support, resistance, and Fibonacci: levels as hypotheses
Map support and resistance zones, calculate Fibonacci retracements, and define what would invalidate a level before using it in a trade plan.
Patterns & strategies
Breakouts and range trading: two different hypotheses
Define breakout, retest, and mean-reversion rules with clear invalidation, realistic entries, and market-regime assumptions.
Chart patterns: reversals, continuations, and invalidation
Understand head and shoulders, double tops, triangles, wedges, flags, and cup-and-handle formations without assuming a pattern predicts the outcome.
Multi-timeframe analysis without hindsight
Combine higher-timeframe context with lower-timeframe triggers while handling unfinished candles and conflicting signals consistently.
Wyckoff, Elliott Wave, and market profiles: test the labels
Explore advanced chart frameworks, liquidity narratives, and market profiles while separating observable rules from subjective interpretations.
Indicators
ADX, stochastic, and Ichimoku: choosing complementary tools
Compare trend strength, range momentum, and Ichimoku structure while avoiding redundant indicators and displaced-data backtesting errors.
ATR and Bollinger Bands: measure volatility before risk
Use ATR and Bollinger Bands to describe range and dispersion, recognize volatility changes, and avoid confusing volatility with direction.
EMA and SMA: trend filters, crossovers, and lag
Compare exponential and simple moving averages, interpret crossovers, and account for lag and whipsaws when building trading signal rules.
MACD: signal lines, histograms, and momentum shifts
Understand MACD crossovers and histogram changes, distinguish slowing momentum from reversal, and test signals with realistic timing.
RSI: momentum, overbought readings, and divergence
Learn what RSI measures, why overbought does not mean sell, and how to test divergence without introducing hindsight into a trading strategy.
Volume, VWAP, and order flow: know your data source
Understand traded volume, tick volume, VWAP, OBV, and order-book evidence, including the limits of fragmented crypto and OTC market data.
Risk & execution
Correlation, economic events, and portfolio exposure
Review shared market exposure, scheduled data releases, and changing correlations before treating multiple trading signals as independent ideas.
Leverage, futures, perpetuals, and options: chart risk differs
Understand why leverage, liquidation, contract specifications, funding, and option Greeks change the risk of an otherwise identical chart setup.
Orders, spreads, and slippage: from signal to fill
Compare market, limit, stop, and stop-limit orders, and learn why execution costs can change a trading signal’s apparent performance.
Position sizing, stop losses, and risk-to-reward
Calculate planned position risk, understand reward-to-risk and expectancy, and account for contract size, slippage, and correlated exposure.
Research & signal quality
Backtesting without look-ahead bias or overfitting
Build a reproducible trading strategy test with point-in-time data, realistic fills, held-out periods, and explicit failure criteria.
How atradeaday trading signals and confidence work
See how atradeaday combines chart patterns, volume, trend, and indicators, and why technical confidence is not a verified probability of profit.
How to evaluate trading signals beyond win rate
Assess trading signal quality using net expectancy, drawdown, sample size, execution costs, and transparent records instead of headline accuracy claims.
Trading journals, drawdown, and strategy review
Record decisions and fills consistently, measure drawdown and recovery, and separate process errors from normal strategy variation.
About this library
Published by atradeaday using AI-assisted drafting and linked educational sources. These guides cover core and selected advanced topics; they are not an exhaustive trading curriculum or personalized financial advice. Worked examples are hypothetical, not performance results. Trading can result in substantial losses.
We distinguish indicator readings from verified outcomes. We do not claim an independently audited win rate. Material revisions receive an updated date; source links and limitations appear with each guide. Report an error or request a topic.