Deep Dive
Everything You Need to Know
Under the Hood
How It Works
AD (Accumulation/Distribution Line) is a cumulative volume-weighted indicator created by Marc Chaikin that measures buying vs selling pressure. It calculates the Close Location Value (CLV) using the formula: CLV = ((Close - Low) - (High - Close)) / (High - Low), which determines where the close is relative to the day's range. This CLV is then multiplied by volume and added to the running total. When price closes in the upper portion of the range with high volume, AD rises significantly (accumulation). When price closes in the lower portion with high volume, AD falls (distribution). The absolute value is less important than the trend direction and divergences.
In Practice
How Traders Use It
Cryptocurrency traders use AD to confirm price trends and identify potential reversals through divergences. When AD rises with price, it confirms strong buying pressure supporting the uptrend. When AD falls with price, it confirms distribution driving the downtrend. The most powerful signals occur when AD diverges from price: if price makes new highs but AD doesn't, bearish divergence warns of weakening momentum. If price makes new lows but AD rises, bullish divergence suggests accumulation at lower prices. AD is popular in crypto markets for filtering false breakouts, as genuine breakouts are typically accompanied by rising AD. Combine AD with price action, MACD for momentum confirmation, and RSI to identify overbought/oversold conditions during divergences.
Highlights
AD at a Glance
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FAQ
Frequently Asked Questions
What is the AD (AD) indicator?
Chaikin A/D Line
How does AD work?
AD (Accumulation/Distribution Line) is a cumulative volume-weighted indicator created by Marc Chaikin that measures buying vs selling pressure. It calculates the Close Location Value (CLV) using the formula: CLV = ((Close - Low) - (High - Close)) / (High - Low), which determines where the close is relative to the day's range. This CLV is then multiplied by volume and added to the running total. When price closes in the upper portion of the range with high volume, AD rises significantly (accumulation). When price closes in the lower portion with high volume, AD falls (distribution). The absolute value is less important than the trend direction and divergences.
How do traders use AD in their strategies?
Cryptocurrency traders use AD to confirm price trends and identify potential reversals through divergences. When AD rises with price, it confirms strong buying pressure supporting the uptrend. When AD falls with price, it confirms distribution driving the downtrend. The most powerful signals occur when AD diverges from price: if price makes new highs but AD doesn't, bearish divergence warns of weakening momentum. If price makes new lows but AD rises, bullish divergence suggests accumulation at lower prices. AD is popular in crypto markets for filtering false breakouts, as genuine breakouts are typically accompanied by rising AD. Combine AD with price action, MACD for momentum confirmation, and RSI to identify overbought/oversold conditions during divergences.
What are the key points to know about AD?
Cumulative volume-weighted indicator measuring buying vs selling pressure Created by Marc Chaikin, widely used in crypto and stock trading Formula: CLV = ((Close-Low)-(High-Close))/(High-Low), multiply by volume, accumulate Rising AD = accumulation pressure, falling AD = distribution pressure Bullish divergence: price falls but AD rises (hidden buying) Bearish divergence: price rises but AD falls (distribution at highs) Confirms trends when moving in same direction as price Unbounded cumulative line - focus on direction and divergences No parameters - uses high, low, close, volume Combine with MACD (momentum), RSI (overbought/oversold), price action Essential for volume analysis, popular among swing and position traders
Can I use AD with Cryptorobot.ai?
Yes. AD (AD) is available as a built-in indicator in Cryptorobot.ai. You can add it to any automated strategy using the no-code strategy builder, backtest it against historical data, and deploy it live on supported exchanges.