Parabolic SAR Trading, Explained
Learn how Parabolic SAR trails price, why its acceleration can create whipsaws, and how to test the rule without hindsight.
Read article ↗: Parabolic SAR Trading, ExplainedAcademy
Concepts and methods you can revisit at your own pace.
Learn how Parabolic SAR trails price, why its acceleration can create whipsaws, and how to test the rule without hindsight.
Read article ↗: Parabolic SAR Trading, ExplainedTrade expectancy combines win rate with average wins and losses; its average can still hide an unforgiving path.
Read article ↗: Trade Expectancy, ExplainedAn opening gap is a change between sessions, not proof that price must return. Learn what the open measures and how to test a gap rule.
Read article ↗: Opening Gaps and Auction Prices, ExplainedImplied volatility prices a future risk-neutral distribution; realized volatility records past movement. Learn what their gap can—and cannot—tell you.
Read article ↗: Implied vs Realized Volatility, ExplainedA risk–reward ratio compares a planned loss with a target. It does not tell you the odds, fills, or whether the trade has positive expectancy.
Read article ↗: Risk–Reward Ratios in Trading, ExplainedRate of Change measures price momentum as a percentage change. Learn what ROC shows, why its thresholds are not signals, and how to test it.
Read article ↗: Rate of Change (ROC) Trading, ExplainedPost-earnings announcement drift is the tendency studied in returns after earnings news. Learn what the anomaly means, where its evidence is fragile, and how to test it.
Read article ↗: Post-Earnings Announcement Drift, ExplainedRSI measures the balance of recent gains and losses. Learn what its readings mean, why familiar thresholds are conventions, and how to test a rule.
Read article ↗: RSI Trading, ExplainedFibonacci extensions project reference levels beyond a completed swing. Learn what the three-point tool measures, what it cannot prove, and how to test it.
Read article ↗: Fibonacci Extensions, ExplainedPairs trading tests a relationship between two assets, not a hunch that one is cheap. Define the pair, hedge rule and break condition before the chart.
Read article ↗: Pairs Trading, ExplainedA head and shoulders pattern is a chart-labeling rule, not proof of a reversal. Define it before the chart, then test every candidate and cost.
Read article ↗: Head and Shoulders Pattern, ExplainedA moving-average crossover is a rule for defining trend, not a forecast. Learn its choices, limits and how to test it without hindsight.
Read article ↗: Moving-average crossovers, explainedA footprint chart maps executed bid and ask volume inside each bar. Learn what delta shows, what it misses, and how to test it without hindsight.
Read article ↗: Footprint Charts Explained: Bid, Ask and DeltaLearn what currency carry really earns, where the exchange-rate risk hides, and how to test the method without mistaking yield for edge.
Read article ↗: Carry Trade Trading, ExplainedWhat Keltner Channels measure, why a band break is not a trade by itself, and how to test the rules before trusting the chart.
Read article ↗: Keltner Channels Trading, ExplainedCross-sectional momentum ranks a defined universe by prior returns. Learn how relative strength differs from trend following and how to test the whole rule.
Read article ↗: Cross-Sectional Momentum, ExplainedThe stochastic oscillator locates the close within a recent range. Learn what %K and %D measure, why 80 and 20 are not signals, and how to test a rule.
Read article ↗: Stochastic Oscillator Trading, ExplainedFixed ratio position sizing adds units after profit milestones. Learn the delta rule, its uneven risk, and how to test it honestly.
Read article ↗: Fixed Ratio Position Sizing, ExplainedTrendlines connect selected price pivots. Learn what they show, why the drawing is subjective, and how to test a trendline rule honestly.
Read article ↗: Trendline Trading, ExplainedADX measures trend strength, not direction. Learn what its line contains, why familiar thresholds are only conventions, and how to test an ADX rule.
Read article ↗: ADX Trading, ExplainedVolume Profile shows where trading volume accumulated by price. Learn what POC and value area measure, and how to test the rules built from them.
Read article ↗: Volume Profile trading, explainedTrading seasonality looks for recurring calendar patterns. Learn what the research shows, what it cannot prove, and how to test a rule honestly.
Read article ↗: Trading Seasonality, ExplainedMACD compares fast and slow moving averages. Learn what its crossovers and divergence show, where they mislead, and how to test them.
Read article ↗: MACD Trading, ExplainedPivot points turn a completed period's high, low and close into fixed reference levels. Here is the formula, the ambiguity, and how to test it.
Read article ↗: Pivot Point Trading, ExplainedDepth of Market shows displayed liquidity, not a promise. Learn how traders read the DOM, where it misleads, and how to test it.
Read article ↗: Depth of Market (DOM) trading, explainedHarmonic pattern trading measures XABCD swings with Fibonacci ratios. Learn where the rules end, subjectivity begins, and testing matters.
Read article ↗: Harmonic pattern trading, explainedTrend following trades with persistent price moves. Learn the rules, disputed evidence and how to test the method without hindsight.
Read article ↗: Trend-following trading, explainedBollinger Bands measure relative price and volatility. Learn the trend-versus-reversion trap and how to test the rules honestly.
Read article ↗: Bollinger Bands trading, explainedIchimoku Cloud combines trend, momentum and range structure. Learn its five lines, mixed evidence and a testable rule set.
Read article ↗: Ichimoku Cloud trading, explainedMartingale adds risk after losses; anti-martingale adds it after wins. Learn the mechanics, limits and a clean way to test both.
Read article ↗: Martingale vs Anti-Martingale, ExplainedVolatility targeting adjusts exposure as risk changes. Learn the rule, the mixed evidence and how to test it without hindsight.
Read article ↗: Volatility targeting, explainedCumulative Volume Delta tracks signed trading pressure. Learn what CVD measures, where the data can mislead and how to test it.
Read article ↗: Cumulative Volume Delta (CVD), explainedDow Theory classifies trends through swings, confirmation and volume. Its logic is useful; its trading edge still needs an objective test.
Read article ↗: Dow Theory trading, explainedBOS labels trend continuation; CHoCH flags a possible shift. Both depend on subjective swing rules, so neither is evidence until tested.
Read article ↗: BOS vs CHoCH in trading, explainedMean reversion trading fades stretched prices or spreads. It is testable, but costs, regime shifts, and timing decide whether it survives.
Read article ↗: Mean reversion trading, explainedElliott Wave maps price into impulse and corrective waves. Useful structure, weak as a signal until the count is objective and tested.
Read article ↗: Elliott Wave trading, explainedRSI divergence compares price with momentum. Useful context, weak as a signal until the pattern is defined and backtested.
Read article ↗: RSI divergence trading, explainedMarket Profile TPO maps time at price into value areas and POC. Useful auction context, subjective when turned into trades.
Read article ↗: Market Profile TPO trading, explainedThe Kelly criterion turns edge and payoff into a position-size formula. Useful math, dangerous when the edge is only an estimate.
Read article ↗: Kelly criterion position sizing, explainedDonchian channels turn price extremes into breakout rules. They are simple, testable, and still vulnerable to whipsaw.
Read article ↗: Donchian channel trading, explainedFibonacci retracement levels turn a prior swing into possible pullback zones. Useful for structure, weak as a signal until tested.
Read article ↗: Fibonacci retracement trading, explainedATR measures how much a market is moving, not where it should go. Useful for stops and sizing, useless as an edge until tested.
Read article ↗: Average True Range (ATR), explainedVWAP is a volume-weighted average price and execution benchmark. Useful, measurable, and still not a trading edge by itself.
Read article ↗: VWAP trading, explainedA plain-spoken overview of SMC — structure, order blocks, fair value gaps, liquidity, premium/discount — and the honest problem: it is discretionary.
Read article ↗: What is Smart Money Concepts (SMC)?Two different things get called 'liquidity': order-book depth you can measure, and a smart-money story about stop hunts you mostly cannot.
Read article ↗: Liquidity in trading, explainedOrder blocks and fair value gaps are the core zones of Smart Money Concepts — how traders mark them, and why subjectivity makes them hard to test.
Read article ↗: Order blocks and fair value gaps, explainedAn honest look at Wyckoff's three laws, the Composite Operator, the market cycle and accumulation schematics — plus why the phases are idealised.
Read article ↗: The Wyckoff method, explainedA supply or demand zone is a base before an imbalanced move. Here is how they form, why zone-drawing is subjective, and how to make it testable.
Read article ↗: Supply and demand zones, explainedReading trades from raw candles, structure and levels — what price action is, and what the evidence really says about candlestick patterns.
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