META
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Meta Platforms, Inc.

META · NASDAQ
Watching
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Daily prices

Rank vs the other stocks

Trading model
Hold
39thpercentile
Last 6 sessions
WeakestStrongest

META placed in the 39th percentile of the stocks being followed just after the open on . The trading model buys from the top of this list.

Model score
−0.20
Ranked

Old model

Guesses whether the price goes up or down. Latest call: Hold
Not trading
Next day
↑ Up
0% confidence
Next 2 days
↑ Up
15% confidence

Made

Technical signals

Momentum, trend, volatility and volume from recent trading, as of
Momentum
RSI (14)
0.358
Stochastic %K (14)
0.068
Stochastic %D (14)
0.107
Trend
Price vs SMA (20)
−0.104
Price vs EMA (26)
−0.080
Price vs WMA (20)
−0.092
Volatility
Bollinger %B (20/2)
−0.149
Bollinger Bandwidth (20/2)
0.161
ATR % (14)
0.041
Volume
OBV change (20)
−0.268
Money Flow Index (14)
0.384
Chaikin Money Flow (20)
−0.125
Returns & Statistics
Return (1)
−0.010
Return (2)
−0.082
Overnight gap
−0.016

Technical signals for META

Computed from recent prices and volume, as of . The models read these alongside the other signals. 100% of them have enough price history to compute; a 0 with low coverage usually means "not enough history yet", not a real reading.

Momentum

Oscillators that gauge how strongly and how fast the price has been moving — used to spot overbought/oversold conditions and shifts in drive.

RSI (7)
Relative Strength Index: 0–1 scale of recent gains vs losses. Above ~0.7 is 'overbought' (may be due to cool off); below ~0.3 'oversold'.
0.2017
RSI (14)
Relative Strength Index: 0–1 scale of recent gains vs losses. Above ~0.7 is 'overbought' (may be due to cool off); below ~0.3 'oversold'.
0.3576
RSI (21)
Relative Strength Index: 0–1 scale of recent gains vs losses. Above ~0.7 is 'overbought' (may be due to cool off); below ~0.3 'oversold'.
0.4258
Stochastic %K (14)
Where the close sits within its recent high–low range (0 = at the low, 1 = at the high).
0.0678
Stochastic %D (14)
A 3-day smoothing of Stochastic %K — the slower signal line.
0.1066
Stochastic %K (9)
Where the close sits within its recent high–low range (0 = at the low, 1 = at the high).
0.0678
Stochastic %D (9)
A 3-day smoothing of Stochastic %K — the slower signal line.
0.1066
Stochastic RSI (14)
RSI rescaled to where it sits in its own recent range (0–1) — a more sensitive overbought/oversold reading.
0.0000
Williams %R (14)
Like the Stochastic, the close's position in the recent range (0 = low, 1 = high).
0.0678
CCI (20)
Commodity Channel Index: how far price is from its average, squashed to about −1…+1. High = unusually strong, low = unusually weak.
−0.9873
CCI (40)
Commodity Channel Index: how far price is from its average, squashed to about −1…+1. High = unusually strong, low = unusually weak.
−0.5817
Rate of Change (5)
Log return over the lookback — simple momentum (positive = up).
−0.0988
Rate of Change (10)
Log return over the lookback — simple momentum (positive = up).
−0.1118
Rate of Change (20)
Log return over the lookback — simple momentum (positive = up).
−0.1567
KDJ %K (9)
Smoothed position of the close in its recent range (0–1).
0.1368
KDJ %D (9)
A further smoothing of KDJ %K.
0.2175
KDJ %J (9)
The fast, sensitive leg of KDJ — exaggerates turns.
−0.0246
Ultimate Oscillator (7/14/28)
Buying pressure blended across short, medium and long windows (0–1).
0.4115
True Strength Index (25/13)
Double-smoothed momentum, about −1…+1 (positive = upward drive).
−0.0123

Trend

Moving-average and directional measures of which way the price is trending and how strong that trend is.

Price vs SMA (10)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
−0.0921
Price vs SMA (20)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
−0.1045
Price vs SMA (50)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
−0.0316
Price vs SMA (100)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
0.0194
Price vs SMA (200)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
0.0174
Price vs EMA (12)
How far the close is above/below its exponential moving average (weights recent prices more).
−0.0779
Price vs EMA (26)
How far the close is above/below its exponential moving average (weights recent prices more).
−0.0804
Price vs EMA (50)
How far the close is above/below its exponential moving average (weights recent prices more).
−0.0527
Price vs EMA (200)
How far the close is above/below its exponential moving average (weights recent prices more).
−0.0126
Price vs WMA (20)
How far the close is above/below its weighted moving average.
−0.0923
PPO (12/26/9)
Percentage Price Oscillator — MACD expressed as a percent so it compares across stocks. Positive = short-term momentum above long-term.
−0.0027
PPO Signal (12/26/9)
The smoothed signal line of the PPO.
0.0176
PPO Histogram (12/26/9)
PPO minus its signal line — momentum of the momentum.
−0.0204
ADX (14)
Trend strength on a 0–1 scale (direction-agnostic). Higher = a stronger trend.
0.2771
+DI (14)
Strength of upward directional movement (0–1).
0.2018
−DI (14)
Strength of downward directional movement (0–1).
0.3148
Aroon Up (25)
How recently a new high was made (1 = just now).
0.1600
Aroon Down (25)
How recently a new low was made (1 = just now).
1.0000
Aroon Oscillator (25)
Aroon Up minus Down — positive favours an uptrend.
−0.8400
Parabolic SAR distance
How far price is from the trailing stop-and-reverse level, as a fraction of price.
−0.1632
Parabolic SAR side
+1 when price is above the SAR (uptrend), −1 below.
−1.0000
Vortex +VI (14)
Strength of upward trend movement (centred at 0).
−0.3217
Vortex −VI (14)
Strength of downward trend movement (centred at 0).
0.1735
Vortex difference (14)
+VI minus −VI — positive favours an uptrend.
−0.4952
MA slope (50/20)
The recent slope of a moving average (positive = rising trend).
0.0784

Volatility

How much the price is swinging around — wide bands and high readings mean larger, riskier moves.

Bollinger %B (20/2)
Where price sits within its Bollinger Bands (0 = lower band, 1 = upper). Above 1 or below 0 is an extended move.
−0.1492
Bollinger Bandwidth (20/2)
How wide the bands are relative to price — bigger means more volatile.
0.1610
ATR % (14)
Average True Range as a percent of price — typical daily swing size.
0.0406
Keltner position (20/10/2)
Where price sits within its Keltner Channel (0–1).
−0.0531
Keltner width (20/10/2)
Width of the Keltner Channel relative to price.
0.1521
Donchian position (20)
Where price sits within its recent high–low channel (0–1).
0.0223
Donchian width (20)
Width of the recent high–low channel relative to price.
0.1865
Realized volatility (10)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0311
Realized volatility (20)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0266
Realized volatility (60)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0285
Chaikin Volatility (10/10)
Whether the daily high–low range is expanding (+) or contracting (−).
0.3583
Ulcer Index (14)
A drawdown-based stress measure — higher means deeper/longer dips from recent highs.
7.8240

Volume

Whether trading activity is confirming the price move — money flowing in or out, and unusually heavy or light volume.

OBV change (20)
On-Balance Volume trend — net volume flowing in (+) or out (−).
−0.2678
Money Flow Index (14)
A volume-weighted RSI (0–1). High = strong buying pressure.
0.3835
Chaikin Money Flow (20)
Buying vs selling pressure weighted by volume (−1…+1).
−0.1246
Money Flow Multiplier
Where the close finished in the bar's range, the building block of accumulation/distribution (−1…+1).
0.2661
Accum/Dist change (20)
Recent change in the Accumulation/Distribution line (buying vs selling pressure).
−0.1246
Price vs VWAP (20)
How far the close is above/below the rolling volume-weighted average price.
−0.1019
Force Index (13)
Return times relative volume — the push behind a move.
−0.0071
Ease of Movement (sign) (14)
+1 when price rose easily on light volume, −1 when it fell easily.
−1.0000
Ease of Movement (z) (14)
How unusual today's ease-of-movement is vs recent days.
−0.6409
Volume Rate of Change (14)
Log change in volume vs n days ago — a volume surge/lull.
−0.0303
Volume Rate of Change (25)
Log change in volume vs n days ago — a volume surge/lull.
−0.6257
Relative Volume (z) (20)
How many standard deviations today's volume is above/below its recent average.
−0.6966
Relative Volume (z) (50)
How many standard deviations today's volume is above/below its recent average.
−0.6529
Relative Volume (20)
Today's volume vs its recent average (log scale; >0 = above).
−0.2940
Relative Volume (50)
Today's volume vs its recent average (log scale; >0 = above).
−0.3110

Returns & Statistics

Recent returns over several horizons plus statistical shape (skew, fat tails, drawdown, risk-adjusted return).

Return (1)
Log return over the horizon (positive = up).
−0.0096
Return (2)
Log return over the horizon (positive = up).
−0.0820
Return (3)
Log return over the horizon (positive = up).
−0.0773
Return (5)
Log return over the horizon (positive = up).
−0.0988
Return (10)
Log return over the horizon (positive = up).
−0.1118
Return (20)
Log return over the horizon (positive = up).
−0.1567
Overnight gap
Open vs the prior close — overnight move.
−0.0164
Intraday range
High minus low as a fraction of price — the day's swing.
0.0230
True range
True range (gap-aware swing) as a fraction of price.
0.0242
Return skew (20)
Asymmetry of recent returns — negative means crash-prone tails.
−0.6015
Return skew (60)
Asymmetry of recent returns — negative means crash-prone tails.
0.5778
Return kurtosis (20)
Fat-tailedness of recent returns — high means jumpy/extreme moves.
0.5876
Return kurtosis (60)
Fat-tailedness of recent returns — high means jumpy/extreme moves.
2.8488
Downside deviation (20)
Volatility of only the negative returns — pure downside risk.
0.0240
Downside deviation (60)
Volatility of only the negative returns — pure downside risk.
0.0175
Max drawdown (20)
Largest peak-to-trough drop over the window, as a fraction.
0.1572
Max drawdown (60)
Largest peak-to-trough drop over the window, as a fraction.
0.1736
Return/risk (20)
Average return divided by its volatility — recent risk-adjusted return.
−0.2943
Return/risk (60)
Average return divided by its volatility — recent risk-adjusted return.
0.1034
Return persistence (20)
Whether up days tend to follow up days (+) or reverse (−).
−0.1749
Return persistence (60)
Whether up days tend to follow up days (+) or reverse (−).
−0.0525
Price z-score (20)
How many standard deviations the price is from its recent average.
−2.5312
Price z-score (50)
How many standard deviations the price is from its recent average.
−0.2894
Return z-score (20)
How unusual the latest return is vs recent returns.
−0.0680
Return z-score (50)
How unusual the latest return is vs recent returns.
−0.3842

Latest signals

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About Meta Platforms, Inc.

Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality (VR) headsets, and AI glasses in the United States, Canada, Europe, Asia-Pacific, and… Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality (VR) headsets, and AI glasses in the United States, Canada, Europe, Asia-Pacific, and internationally. It operates through two segments, Family of Apps (FoA) and Reality Labs (RL). The FoA segment offers Facebook, which enables people to build community through feed, reels, stories, groups, marketplace, and other; Instagram that brings people closer through Instagram feed, stories, reels, live, and messaging; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; Meta AI, an assistant that's available across apps, as a stand-alone app, on AI glasses, and on the web; Threads, an application for text-based updates and public conversations; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact. The RL segment provides virtual and augmented reality products, including consumer hardware, software, and content that help people feel connected, as well as Meta Quest devices that enable social experiences across gaming, fitness, entertainment, and more. The segment also includes wearables such as AI glasses like Ray Ban Meta and Oakley Meta glasses; and the Meta Ray Ban Display, which combines AI glasses with an integrated lens display and the Meta Neural Band, a wrist worn device using electromyography that lets people control their AI glasses through neuromuscular signals. Meta Platforms, Inc. has a collaboration with Microsoft Corporation, NVIDIA Corporation, Advanced Micro Devices, Inc., Broadcom Inc., and OpenAI, L.L.C. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California.
Sector
Communication Services
Industry
Internet Content & Information
Exchange
NASDAQ
Currency
USD

News

No recent news about META.

Locations

Meta Platforms, Inc. — Wikidata HQ
Menlo Park, United States
94% match

Where the company has offices, plants and other sites. Used to judge supply-chain and regional risk.