Trading
Moving Averages Explained: SMA, EMA, and Their Limits
Understand SMA and EMA calculations, chart settings, trend filters, and why moving-average signals need realistic testing.
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THE INDICATOR HUB BLOG
Understand the move.
See the connections.
Clear explanations for curious traders. Explore the tools, the forces behind the market, and the cause-and-effect relationships that make the bigger picture matter.
Trading
Understand your indicators. Build a more deliberate trading process.
Trading
RSI Explained: Momentum, Extremes, and False Signals
Learn what RSI measures, why overbought is not an automatic sell signal, and how to evaluate divergence without hindsight.
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Trading
ATR Explained: Volatility, Stop Distance, and Trade Size
Use Average True Range to put price movement in context, compare volatility carefully, and understand the limits of ATR-based stops.
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Trading
VWAP Explained: A Volume-Weighted Reference for Trading
Understand VWAP calculation, session settings, execution benchmarks, and the difference between a chart reference and a trading edge.
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Trading
Support and Resistance: Drawing Levels You Can Evaluate
Learn to mark support and resistance zones, define a meaningful break, and avoid turning historical reactions into guaranteed forecasts.
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Trading
Position Sizing: Turn a Risk Budget into Trade Quantity
Calculate position size from a hypothetical risk budget, stop distance, and costs while accounting for execution and portfolio risk.
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Trading
Risk-Reward and Expectancy: Why No Ratio Guarantees an Edge
Understand planned versus realized reward, break-even win rates, trading costs, and why a 1:2 ratio is not a universal minimum.
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Trading
How to Keep a Trading Journal That Improves Your Decisions
Build a practical trade journal, separate execution quality from outcomes, and review patterns without mistaking small samples for an edge.
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Market Dynamics
Learn what moves prices, how markets trade, and where risk can hide.
Market Dynamics
Market Liquidity: What Spreads and Slippage Tell You
Learn how spreads, order-book depth and slippage affect execution, with a worked example and a practical way to assess trading conditions.
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Market Dynamics
Why Bond Prices and Yields Move in Opposite Directions
Understand the bond price-yield relationship, distinguish coupon from yield, and use duration to estimate interest-rate sensitivity.
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Market Dynamics
How to Read an Economic Release Beyond the Headline
A practical guide to economic reports: actual versus expected results, revisions, headline versus core inflation, and misleading comparisons.
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Market Dynamics
Sector Rotation: Connecting Growth, Inflation and Interest Rates
Learn why sector leadership changes, how economic conditions affect businesses differently, and why rotation diagrams are not reliable forecasts.
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Market Dynamics
Volatility Is Not the Whole Risk: Why Calm Markets Can Break
Distinguish realized and implied volatility from loss, leverage and liquidity risk, with examples showing how quiet markets can become fragile.
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Cause & Effect
Follow the connections between rates, inflation, currencies and stocks.
Cause & Effect
How Interest Rates Affect Stocks: Three Channels to Watch
Understand how interest rates change stock valuations, company earnings, and financing costs—and why rate cuts can arrive alongside falling markets.
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Cause & Effect
How Inflation Shocks Reach Bonds and Stocks
Learn why an inflation surprise can move bonds and stocks together, how real yields matter, and why supply shocks differ from demand-driven inflation.
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Cause & Effect
What a Stronger Dollar Changes—and Why Correlations Break
Follow a stronger U.S. dollar through import costs, exporters, overseas earnings, commodities, and debt—and learn why familiar correlations can fail.
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Cause & Effect
Why Oil Prices Rose Matters More Than the Rise Alone
Distinguish an oil supply shock from a demand boom, then trace the effects on producers, consumers, transport companies, inflation, and stock markets.
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Cause & Effect
Why Good Economic News Can Make Stocks Fall
Understand market surprises, interest-rate expectations, profit channels, and positioning so that a falling market after strong data becomes easier to interpret.
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