MET
TYPE Stocks
GROUP Stocks
BASE
SECOND US Dollar
<% (signals.list.current.rate).substr(0,7) %>
<% (signals.list.current.absolute).substr(0,9) %> (<% signals.list.current.percentage|toFixed:2 %>%)
MARKETS TREND
OPEN
<% (signals.list.current.openrate).substr(0,9) %>
HIGH
<% (signals.list.current.high).substr(0,9) %>
LOW
<% (signals.list.current.low).substr(0,9) %>
MET Signals
DON'T WANT TO MISS ANY SIGNAL? GO PREMIUM
ACCESS ALL FX, COMMODITIES & CRYPTO SIGNALS. GO PREMIUM
<% signal.pair %> (<% signal.rate %>) <% signal.action %>
<% signal.status %>
<% signal.analyst %><% signal.analyst %>
Long Term
Entry Price
Stop Loss
Take Profit
PREMIUM ONLY
<% signal.stopLoss %> N/A
PREMIUM ONLY
<% signal.takeProfit %> N/A
PREMIUM ONLY
<% signal.analyst %><% signal.analyst %>
<% signal.comment %>
Description
<% signal.description %>
LATEST ANALYSIS
<% item.time_ago %> Ago
<% item.title %>
<% item.deltaTime %>

Last Updated: Dec 24, 2025 01:12:33 PM (GMT)

You are a market trading analyst. Summarize the market information in 5 concise sentences (80-100 words max) based on the provided data. The summary should be structured as follows:

MET: Provide the current market price and its percentage change from the previous close.

Support and Resistance Levels Define the current 3 support levels and resistance levels along with the pivot point.

Indicators Summarize the findings for RSI, ATR, ADX, 50-day SMA, 200-day EMA, and Parabolic SAR (if some of the metrics doesn't have values, don't put in the answer).

Market Sentiment (use max 25 words for this section) Predict a bullish or bearish scenario based on whether the current market price is above or below the pivot point (write the value for the pivot point), and if the indicators and trend line are supportive of a buying or selling trend. Include specific numbers and empirical data as if you are a forex expert.

MET Signals & Technical Analysis

Last Updated: <% indicators.interval.updated|date:'MMM d, y h:mm:ss a' %>
Market Trend
Strong Sell
Sell
Neutral
Buy
Strong Buy
Loading Market Trend ...

Market Sentiment

BUY: <% indicators.sentiment.buy.length %> SELL: <% indicators.sentiment.sell.length %> NEUTRAL: <% indicators.sentiment.neutral.length %>
Strong Sell
Sell
Neutral
Buy
Strong Buy

Trend Indicators

NAME
VALUE
ACTION
Bollinger Bands
UPPER: <% indicators.data[indicators.interval.active].bbands.value.upper %>
MIDDLE: <% indicators.data[indicators.interval.active].bbands.value.middle %>
LOWER: <% indicators.data[indicators.interval.active].bbands.value.lower %>
Sell
Buy
Parabolic SAR
<% indicators.data[indicators.interval.active].sar.value %>
Sell
Buy
Standard Deviation
<% indicators.data[indicators.interval.active].stddev.value %>
High Volatility
Low Volatility

Oscillators

NAME
VALUE
ACTION
RSI(14)
<% indicators.data[indicators.interval.active].rsi.value %>
Sell
Buy
MACD(12,26)
<% indicators.data[indicators.interval.active].macd.value %>
Buy
Sell
Neutral
ATR
<% indicators.data[indicators.interval.active].atr.value %>
High Volatility
Low Volatility
STOCH(9,6)
<% indicators.data[indicators.interval.active].stochastics.value %>
Buy
Sell
ADX
<% indicators.data[indicators.interval.active].adx.value %>
High Volatility
Low Volatility

Moving Averages

PERIOD
SIMPLE
EXPONENTIAL
MA5
<% indicators.data[indicators.interval.active].sma5.value %> Buy Sell
<% indicators.data[indicators.interval.active].ema5.value %> Buy Sell
MA10
<% indicators.data[indicators.interval.active].sma10.value %> Buy Sell
<% indicators.data[indicators.interval.active].ema10.value %> Buy Sell
MA20
<% indicators.data[indicators.interval.active].sma20.value %> Buy Sell
<% indicators.data[indicators.interval.active].ema20.value %> Buy Sell
MA50
<% indicators.data[indicators.interval.active].sma50.value %> Buy Sell
<% indicators.data[indicators.interval.active].ema50.value %> Buy Sell
MA100
<% indicators.data[indicators.interval.active].sma100.value %> Buy Sell
<% indicators.data[indicators.interval.active].ema100.value %> Buy Sell

Pivot

PIVOT
CLASSIC
FIBONACCI
CAMARILLA
WOODIE
S3
<% indicators.data[indicators.interval.active].pp.data.result.classic.s3 %>
<% indicators.data[indicators.interval.active].pp.data.result.fibonacci.s3 %>
<% indicators.data[indicators.interval.active].pp.data.result.camarilla.s3 %>
<% indicators.data[indicators.interval.active].pp.data.result.woodie.s3 %>
S2
<% indicators.data[indicators.interval.active].pp.data.result.classic.s2 %>
<% indicators.data[indicators.interval.active].pp.data.result.fibonacci.s2 %>
<% indicators.data[indicators.interval.active].pp.data.result.camarilla.s2 %>
<% indicators.data[indicators.interval.active].pp.data.result.woodie.s2 %>
S1
<% indicators.data[indicators.interval.active].pp.data.result.classic.s1 %>
<% indicators.data[indicators.interval.active].pp.data.result.fibonacci.s1 %>
<% indicators.data[indicators.interval.active].pp.data.result.camarilla.s1 %>
<% indicators.data[indicators.interval.active].pp.data.result.woodie.s1 %>
PP
<% indicators.data[indicators.interval.active].pp.data.result.classic.pp %>
<% indicators.data[indicators.interval.active].pp.data.result.fibonacci.pp %>
<% indicators.data[indicators.interval.active].pp.data.result.camarilla.pp %>
<% indicators.data[indicators.interval.active].pp.data.result.woodie.pp %>
R1
<% indicators.data[indicators.interval.active].pp.data.result.classic.r1 %>
<% indicators.data[indicators.interval.active].pp.data.result.fibonacci.r1 %>
<% indicators.data[indicators.interval.active].pp.data.result.camarilla.r1 %>
<% indicators.data[indicators.interval.active].pp.data.result.woodie.r1 %>
R2
<% indicators.data[indicators.interval.active].pp.data.result.classic.r2 %>
<% indicators.data[indicators.interval.active].pp.data.result.fibonacci.r2 %>
<% indicators.data[indicators.interval.active].pp.data.result.camarilla.r2 %>
<% indicators.data[indicators.interval.active].pp.data.result.woodie.r2 %>
R3
<% indicators.data[indicators.interval.active].pp.data.result.classic.r3 %>
<% indicators.data[indicators.interval.active].pp.data.result.fibonacci.r3 %>
<% indicators.data[indicators.interval.active].pp.data.result.camarilla.r3 %>
<% indicators.data[indicators.interval.active].pp.data.result.woodie.r3 %>

About (met)

Company Background

MetLife, Inc. (NYSE: MET) is a leading global provider of insurance, annuities, and employee benefit programs, catering to a diverse clientele, including individuals and businesses. Established in 1868, MetLife has grown to become one of the largest providers of financial services in the world. Headquartered in New York City, the company operates in over 40 countries, demonstrating its extensive reach and commitment to serving customers worldwide. With a strong focus on innovation, MetLife continuously enhances its product offerings, integrating technology to meet the evolving needs of its policyholders.

Market Position

MetLife is recognized as a prominent player in the insurance and financial services industry. The company ranks among the top life insurers in the United States and maintains a significant presence in markets outside North America, including Asia and Latin America. Through strategic acquisitions and partnerships, MetLife has strengthened its market position, enhancing its capabilities in life insurance, dental and vision benefits, and retirement solutions. The company’s focus on customer-centric solutions and risk management has earned it a strong reputation, positioning MetLife as a trusted advisor in the financial services sector.

Key Financial Highlights

As of the latest fiscal year, MetLife reported a robust financial performance, showcasing resilience in a challenging economic environment. The company achieved total revenues of approximately $69 billion, reflecting a steady growth trajectory. With a market capitalization exceeding $50 billion, MetLife remains a significant entity on the NYSE, attracting institutional and retail investors alike. The company's commitment to returning value to shareholders is evidenced by its regular dividend payouts and share repurchase program. Furthermore, MetLife’s well-diversified investment portfolio and disciplined risk management practices contribute to its financial stability and ability to pursue growth opportunities in the dynamic insurance landscape.

Industry Highlights

In an ever-evolving industry, MetLife continues to adapt to changing consumer preferences and regulatory landscapes. The rising demand for digital insurance solutions and personalized financial advice presents lucrative growth opportunities for MetLife. By investing in technology and innovation, the company is well-positioned to capitalize on these trends, ensuring its services remain relevant and valuable to a global audience.

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