IBM
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International Business Machines Corporation

IBM · NYQ
Watching
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Daily prices

Rank vs the other stocks

Trading model
Hold
18thpercentile
Last 6 sessions
WeakestStrongest

IBM placed in the 18th percentile of the stocks being followed just after the open on . The trading model buys from the top of this list.

Model score
−0.57
Ranked

Old model

Guesses whether the price goes up or down. Latest call: Sell
Not trading
Next day
↓ Down
4% confidence
Next 2 days
↑ Up
1% confidence

Made

Technical signals

Momentum, trend, volatility and volume from recent trading, as of
Momentum
RSI (14)
0.712
Stochastic %K (14)
0.929
Stochastic %D (14)
0.937
Trend
Price vs SMA (20)
0.099
Price vs EMA (26)
0.079
Price vs WMA (20)
0.074
Volatility
Bollinger %B (20/2)
1.030
Bollinger Bandwidth (20/2)
0.187
ATR % (14)
0.030
Volume
OBV change (20)
0.174
Money Flow Index (14)
0.908
Chaikin Money Flow (20)
0.119
Returns & Statistics
Return (1)
0.006
Return (2)
0.008
Overnight gap
−0.009

Technical signals for IBM

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'.
0.8506
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'.
0.7122
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'.
0.6347
Stochastic %K (14)
Where the close sits within its recent high–low range (0 = at the low, 1 = at the high).
0.9288
Stochastic %D (14)
A 3-day smoothing of Stochastic %K — the slower signal line.
0.9372
Stochastic %K (9)
Where the close sits within its recent high–low range (0 = at the low, 1 = at the high).
0.9095
Stochastic %D (9)
A 3-day smoothing of Stochastic %K — the slower signal line.
0.9221
Stochastic RSI (14)
RSI rescaled to where it sits in its own recent range (0–1) — a more sensitive overbought/oversold reading.
1.0000
Williams %R (14)
Like the Stochastic, the close's position in the recent range (0 = low, 1 = high).
0.9288
CCI (20)
Commodity Channel Index: how far price is from its average, squashed to about −1…+1. High = unusually strong, low = unusually weak.
0.9525
CCI (40)
Commodity Channel Index: how far price is from its average, squashed to about −1…+1. High = unusually strong, low = unusually weak.
0.9602
Rate of Change (5)
Log return over the lookback — simple momentum (positive = up).
0.0883
Rate of Change (10)
Log return over the lookback — simple momentum (positive = up).
0.1101
Rate of Change (20)
Log return over the lookback — simple momentum (positive = up).
0.1172
KDJ %K (9)
Smoothed position of the close in its recent range (0–1).
0.8945
KDJ %D (9)
A further smoothing of KDJ %K.
0.8442
KDJ %J (9)
The fast, sensitive leg of KDJ — exaggerates turns.
0.7596
Ultimate Oscillator (7/14/28)
Buying pressure blended across short, medium and long windows (0–1).
0.7269
True Strength Index (25/13)
Double-smoothed momentum, about −1…+1 (positive = upward drive).
0.1999

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.
0.0621
Price vs SMA (20)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
0.0992
Price vs SMA (50)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
0.0881
Price vs SMA (100)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
0.0453
Price vs SMA (200)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
0.0218
Price vs EMA (12)
How far the close is above/below its exponential moving average (weights recent prices more).
0.0575
Price vs EMA (26)
How far the close is above/below its exponential moving average (weights recent prices more).
0.0790
Price vs EMA (50)
How far the close is above/below its exponential moving average (weights recent prices more).
0.0803
Price vs EMA (200)
How far the close is above/below its exponential moving average (weights recent prices more).
0.0180
Price vs WMA (20)
How far the close is above/below its weighted moving average.
0.0744
PPO (12/26/9)
Percentage Price Oscillator — MACD expressed as a percent so it compares across stocks. Positive = short-term momentum above long-term.
0.0204
PPO Signal (12/26/9)
The smoothed signal line of the PPO.
0.0057
PPO Histogram (12/26/9)
PPO minus its signal line — momentum of the momentum.
0.0147
ADX (14)
Trend strength on a 0–1 scale (direction-agnostic). Higher = a stronger trend.
0.2008
+DI (14)
Strength of upward directional movement (0–1).
0.3099
−DI (14)
Strength of downward directional movement (0–1).
0.1083
Aroon Up (25)
How recently a new high was made (1 = just now).
0.9600
Aroon Down (25)
How recently a new low was made (1 = just now).
0.5600
Aroon Oscillator (25)
Aroon Up minus Down — positive favours an uptrend.
0.4000
Parabolic SAR distance
How far price is from the trailing stop-and-reverse level, as a fraction of price.
0.0708
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).
0.2556
Vortex −VI (14)
Strength of downward trend movement (centred at 0).
−0.3098
Vortex difference (14)
+VI minus −VI — positive favours an uptrend.
0.5654
MA slope (50/20)
The recent slope of a moving average (positive = rising trend).
0.0125

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.
1.0299
Bollinger Bandwidth (20/2)
How wide the bands are relative to price — bigger means more volatile.
0.1873
ATR % (14)
Average True Range as a percent of price — typical daily swing size.
0.0296
Keltner position (20/10/2)
Where price sits within its Keltner Channel (0–1).
1.0545
Keltner width (20/10/2)
Width of the Keltner Channel relative to price.
0.1330
Donchian position (20)
Where price sits within its recent high–low channel (0–1).
0.9288
Donchian width (20)
Width of the recent high–low channel relative to price.
0.1624
Realized volatility (10)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0164
Realized volatility (20)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0163
Realized volatility (60)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0185
Chaikin Volatility (10/10)
Whether the daily high–low range is expanding (+) or contracting (−).
0.5757
Ulcer Index (14)
A drawdown-based stress measure — higher means deeper/longer dips from recent highs.
8.6372

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 (−).
0.1742
Money Flow Index (14)
A volume-weighted RSI (0–1). High = strong buying pressure.
0.9085
Chaikin Money Flow (20)
Buying vs selling pressure weighted by volume (−1…+1).
0.1195
Money Flow Multiplier
Where the close finished in the bar's range, the building block of accumulation/distribution (−1…+1).
0.7005
Accum/Dist change (20)
Recent change in the Accumulation/Distribution line (buying vs selling pressure).
0.1195
Price vs VWAP (20)
How far the close is above/below the rolling volume-weighted average price.
0.0921
Force Index (13)
Return times relative volume — the push behind a move.
0.0056
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.
0.3785
Volume Rate of Change (14)
Log change in volume vs n days ago — a volume surge/lull.
−0.0694
Volume Rate of Change (25)
Log change in volume vs n days ago — a volume surge/lull.
−0.8234
Relative Volume (z) (20)
How many standard deviations today's volume is above/below its recent average.
0.0037
Relative Volume (z) (50)
How many standard deviations today's volume is above/below its recent average.
0.1557
Relative Volume (20)
Today's volume vs its recent average (log scale; >0 = above).
0.0015
Relative Volume (50)
Today's volume vs its recent average (log scale; >0 = above).
0.0582

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).
0.0057
Return (2)
Log return over the horizon (positive = up).
0.0083
Return (3)
Log return over the horizon (positive = up).
0.0470
Return (5)
Log return over the horizon (positive = up).
0.0883
Return (10)
Log return over the horizon (positive = up).
0.1101
Return (20)
Log return over the horizon (positive = up).
0.1172
Overnight gap
Open vs the prior close — overnight move.
−0.0094
Intraday range
High minus low as a fraction of price — the day's swing.
0.0303
True range
True range (gap-aware swing) as a fraction of price.
0.0303
Return skew (20)
Asymmetry of recent returns — negative means crash-prone tails.
0.3992
Return skew (60)
Asymmetry of recent returns — negative means crash-prone tails.
0.0539
Return kurtosis (20)
Fat-tailedness of recent returns — high means jumpy/extreme moves.
−0.7177
Return kurtosis (60)
Fat-tailedness of recent returns — high means jumpy/extreme moves.
−0.0918
Downside deviation (20)
Volatility of only the negative returns — pure downside risk.
0.0068
Downside deviation (60)
Volatility of only the negative returns — pure downside risk.
0.0114
Max drawdown (20)
Largest peak-to-trough drop over the window, as a fraction.
0.0226
Max drawdown (60)
Largest peak-to-trough drop over the window, as a fraction.
0.1171
Return/risk (20)
Average return divided by its volatility — recent risk-adjusted return.
0.3599
Return/risk (60)
Average return divided by its volatility — recent risk-adjusted return.
0.1272
Return persistence (20)
Whether up days tend to follow up days (+) or reverse (−).
−0.1125
Return persistence (60)
Whether up days tend to follow up days (+) or reverse (−).
−0.1574
Price z-score (20)
How many standard deviations the price is from its recent average.
2.0661
Price z-score (50)
How many standard deviations the price is from its recent average.
2.4806
Return z-score (20)
How unusual the latest return is vs recent returns.
−0.0078
Return z-score (50)
How unusual the latest return is vs recent returns.
0.2284

Latest signals

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About International Business Machines Corporation

International Business Machines Corporation, together with its subsidiaries, provides integrated solutions and services in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. It operates through Software, Consulting, Infrastructure, and Financing segments. The Software segment offers hybrid cloud… International Business Machines Corporation, together with its subsidiaries, provides integrated solutions and services in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. It operates through Software, Consulting, Infrastructure, and Financing segments. The Software segment offers hybrid cloud and AI platforms that allow clients to realize their digital and AI transformations across the applications, data, and environments in which they operate. The Consulting segment delivers strategy and technology services and intelligent operations, providing business transformation, technology implementation, managed services, application modernization, and AI-powered solutions. The Infrastructure segment provides on-premises and cloud-based server, and storage solutions, as well as life-cycle services for hybrid cloud infrastructure deployment. The Financing segment offers client and commercial financing, and facilitates IBM clients' acquisition of hardware, software, and services. It operates a data streaming platform. The company has partnerships with various companies, including hyperscalers, service providers, global system integrators, and software and hardware vendors that include Adobe, Amazon Web Services, Microsoft, Oracle, Salesforce, Samsung Electronics and SAP, and others. It also has a collaboration with Arm Holdings plc to develop new dual-architecture hardware for AI and data intensive workloads; partnership with three.ws to advance ai-powered 3d agent technology; and collaboration with Lightwell to help strengthen open source software supply chain. Additionally, it offers operational resilience, logistics, and future-ready technology to the UK Ministry of Defence through Team ORION. The company was formerly known as Computing-Tabulating-Recording Co. and changed its name to International Business Machines Corporation in 1924. International Business Machines Corporation was incorporated in 1911 and is headquartered in Armonk, New York.
Sector
Technology
Industry
Information Technology Services
Exchange
NYQ
Currency
USD

News

No recent news about IBM.

Locations

International Business Machines Corporation — GLEIF legal address
GLEIF legal, United States
72% match
International Business Machines Corporation — Wikidata HQ
Armonk, United States
78% match

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