Trading Pattern Dictionary / 20EMA
Snapshot
Definition
AI Overview
The 20EMA pattern utilizes the 20-period Exponential Moving Average to identify medium-term trends and potential reversal points. Traders watch for price interactions with the 20EMA to inform their trading decisions.
Key Details of 20EMA
- Goal: To determine the direction of the medium-term trend and identify entry points.
- Methodology: Analyzing price behavior around the 20EMA for potential trades.
- Origin: The use of EMAs has been a staple in technical analysis for many years.
- Market Impact: Provides insights into market momentum and trend strength.
The 20EMA pattern is a crucial component for traders looking to navigate medium-term market movements effectively.
Track this pattern in your trading journal
On TradeJournal.co, traders tag closed and open trades with this pattern label to connect setup names with real journal statistics: frequency, profit and loss, and post-trade review notes. The public Trading Pattern Dictionary shows community-wide aggregates on each pattern page (trade count, popularity share, and public P&L) so you can compare how often a behavior appears across the platform.
Use TradeJournal to filter your own history by pattern, build statistics dashboards, and spot recurring mistakes or edges—without relying on memory alone.
TradeJournal community statistics
Public trades tagged with "20EMA" on TradeJournal.co (7 traders).
Tagged trades
9
7 closed · 1 open
Dictionary share
0.01%
Of all pattern tags
Win rate
42.9%
3W · 4L
Public P&L
$27,912.24
Avg $3987.46 / closed trade
Similar patterns
Related labels traders tag in TradeJournal—same type or similar naming.
Trades using 20EMA
| Asset | Symbol | Broker | User | Position Size | Entry | Exit | Type | Status | Trade |
|---|---|---|---|---|---|---|---|---|---|
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20EMA is a trading pattern in the TradeJournal.co Trading Pattern Dictionary. It appears on 9 tagged public journal trades from 7 traders (42.9% win rate on closed public trades) . Use TradeJournal to tag your own trades, filter by pattern, and review statistics alongside your full journal.