Problem Statement:
Based on the current EUR/USD price of 1.1722 and chart data from 5-minute, 15-minute, 4-hour, and daily timeframes, this analysis aims to identify trading opportunities for today. Price behavior, support/resistance zones, and market reactions to economic events are considered.
In short timeframes, the price fluctuates within a narrow range between 1.1721 and 1.1727. Several economic events marked by "E" and "N" symbols indicate market sensitivity to news. If the price stabilizes above 1.1724, a continuation toward 1.1735 is likely. Otherwise, a pullback to 1.1715–1.1720 may occur.
Suggested Strategy: Buy on breakout above 1.1724 with a target of 1.1735 and stop-loss below 1.1720.
The 4-hour chart shows a move from 1.1716 to 1.1727, indicating buyer strength. If the price holds above 1.1727, the next target could be 1.1750.
Suggested Strategy: Buy after confirmation above 1.1727 with a target of 1.1750 and stop-loss below 1.1715.
On the daily chart, the price has risen from a low of 1.1583 to a high of 1.1743 and is currently at 1.1722. This reflects a strong bullish trend in recent days. If today’s candle closes above 1.1730, further upside toward 1.1760 and 1.1800 is possible.
Suggested Strategy: Buy on daily close above 1.1730 with a target of 1.1800 and stop-loss below 1.1700.
Trade Type | Entry Point | Target | Stop-Loss |
---|---|---|---|
Short-Term Buy | 1.1724 | 1.1735 | 1.1720 |
Mid-Term Buy | 1.1727 | 1.1750 | 1.1715 |
Long-Term Buy | 1.1730 | 1.1800 | 1.1700 |
You can use the following Python code to detect EUR/USD trend using the 50-day moving average:
import pandas as pd
# Assume df contains closing prices
df['MA50'] = df['Close'].rolling(window=50).mean()
# Buy signal when price is above MA50
df['Buy_Signal'] = df['Close'] > df['MA50']
This signal helps identify bullish trends and optimal entry points.
EUR/USD shows signs of buyer strength across multiple timeframes. With price stabilizing near key levels, there are solid trading opportunities today. Combining technical analysis with trend indicators can enhance decision-making and risk management.