Decode institutional accumulation and distribution cycles using price-volume analysis.
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Overview
Richard Wyckoff was a pioneer of technical analysis in the early 20th century. Working as a stockbroker and publisher in the 1910s-1930s, he had unparalleled insight into how large operators — institutions and market makers — accumulated and distributed large positions without moving markets adversely. He distilled these observations into a coherent framework still used by sophisticated traders today.
The Wyckoff Method identifies four phases of market behavior: Accumulation (large operators quietly buying while retail sells), Markup (the resulting uptrend), Distribution (large operators selling into retail demand near the top), and Markdown (the resulting downtrend). Each phase contains identifiable sub-events such as Preliminary Support, Selling Climax, Automatic Rally, Secondary Test, Spring, and Sign of Strength for accumulation schematics.
The "Spring" — a false breakdown below support that shakes out weak hands before the markup phase — is one of the most tradable Wyckoff events. It looks like a breakdown but is actually a final shakeout by institutions before a significant move higher. Confirmation comes from increased volume and a rapid recovery above the support level.
Wyckoff's three laws — Supply and Demand, Cause and Effect, and Effort vs. Result — provide a logical framework for understanding why markets move, not just how. The Cause and Effect law is particularly powerful: the larger the accumulation (cause), the greater the eventual markup (effect). This allows estimation of price targets using Point and Figure charts.
Strategy Code
This is a TradingView Pine Script strategy example for this page concept. Paste it into the TradingView Pine Editor, add it to your chart, and run it in the Strategy Tester.
//@version=6
strategy("Wyckoff Method", overlay=true)
emaFast = ta.ema(close, 20)
emaSlow = ta.ema(close, 50)
bullStructure = close > emaFast and emaFast > emaSlowThis is a thinkorswim ThinkScript strategy example for this page concept. Open thinkorswim, create a custom strategy, paste the script, and apply it to your chart.
def fast = ExpAverage(close, 20);
def slow = ExpAverage(close, 50);
def liquidityGrab = low < Lowest(low, 10)[1] and close > open;
def buySignal = close > fast and fast > slow and liquidityGrab;
def sellSignal = close < fast;Join thousands of traders who use auto-Trading to execute this strategy automatically, 24/7.
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