Snapshot

180SMA Support
Long

Definition

AI Overview

The 180SMA Support pattern is a technical analysis tool that traders use to identify potential support levels based on the 180-period Simple Moving Average. When the price approaches this moving average, it may indicate a buying opportunity if the price holds above it, suggesting a bullish trend.

Key Details of 180SMA Support

  • Goal: To identify potential support levels for buying opportunities.
  • Methodology: Traders look for price action near the 180-period Simple Moving Average.
  • Origin: The concept of using moving averages in trading dates back to the early 20th century.
  • Market Impact: This pattern can influence buying decisions and market sentiment when price approaches the moving average.

Understanding the 180SMA Support pattern can enhance your trading strategy by providing insights into potential price reversals.

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 "180SMA Support" on TradeJournal.co (0 traders).

Tagged trades

9

0 closed · 0 open

Dictionary share

0.01%

Of all pattern tags

Win rate

Closed public trades

Public P&L

Closed public trades

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Trades using 180SMA Support

Asset Symbol Broker User Position Size Entry Exit Type Status Trade
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180SMA Support is a trading pattern in the TradeJournal.co Trading Pattern Dictionary. It appears on 9 tagged public journal trades from 0 traders . Use TradeJournal to tag your own trades, filter by pattern, and review statistics alongside your full journal.