GM
General Motors Company
GM · NYQ
1M
3M
6M
1Y
2Y
Dates
Rank vs the other stocks
Trading model
Hold
GM placed in the 46th percentile of the stocks being followed just after the open on 2026-10-23 .
The trading model buys from the top of this list.
Model score −0.09
Ranked 2026-10-23 13:35 UTC
Old model
Guesses whether the price goes up or down. Latest call: Hold
Not trading
Next day
↓ Down
2% confidence
Next 2 days
↓ Down
0% confidence
Made 2026-10-26 00:09 UTC
Technical signals
Momentum, trend, volatility and volume from recent trading, as of 2026-10-23
Momentum
RSI (14) 0.365
Stochastic %K (14) 0.119
Stochastic %D (14) 0.138
Trend
Price vs SMA (20) −0.057
Price vs EMA (26) −0.064
Price vs WMA (20) −0.055
Volatility
Bollinger %B (20/2) 0.069
Bollinger Bandwidth (20/2) 0.132
ATR % (14) 0.033
Volume
OBV change (20) −0.261
Money Flow Index (14) 0.459
Chaikin Money Flow (20) 0.011
Returns & Statistics
Return (1) −0.017
Return (2) −0.003
Overnight gap −0.013
See all and what they mean
Computed from recent prices and volume, as of 2026-10-23 . 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'.
0.2863
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'.
0.3646
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'.
0.3990
Stochastic %K (14)
Where the close sits within its recent high–low range (0 = at the low, 1 = at the high).
0.1187
Stochastic %D (14)
A 3-day smoothing of Stochastic %K — the slower signal line.
0.1379
Stochastic %K (9)
Where the close sits within its recent high–low range (0 = at the low, 1 = at the high).
0.1187
Stochastic %D (9)
A 3-day smoothing of Stochastic %K — the slower signal line.
0.1379
Stochastic RSI (14)
RSI rescaled to where it sits in its own recent range (0–1) — a more sensitive overbought/oversold reading.
0.0526
Williams %R (14)
Like the Stochastic, the close's position in the recent range (0 = low, 1 = high).
0.1187
CCI (20)
Commodity Channel Index: how far price is from its average, squashed to about −1…+1. High = unusually strong, low = unusually weak.
−0.8924
CCI (40)
Commodity Channel Index: how far price is from its average, squashed to about −1…+1. High = unusually strong, low = unusually weak.
−0.9535
Rate of Change (5)
Log return over the lookback — simple momentum (positive = up).
−0.1007
Rate of Change (10)
Log return over the lookback — simple momentum (positive = up).
−0.0859
Rate of Change (20)
Log return over the lookback — simple momentum (positive = up).
−0.0847
KDJ %K (9)
Smoothed position of the close in its recent range (0–1).
0.2497
KDJ %D (9)
A further smoothing of KDJ %K.
0.4058
KDJ %J (9)
The fast, sensitive leg of KDJ — exaggerates turns.
−0.0625
Ultimate Oscillator (7/14/28)
Buying pressure blended across short, medium and long windows (0–1).
0.4227
True Strength Index (25/13)
Double-smoothed momentum, about −1…+1 (positive = upward drive).
−0.1387
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.
−0.0582
Price vs SMA (20)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
−0.0569
Price vs SMA (50)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
−0.0888
Price vs SMA (100)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
−0.0791
Price vs SMA (200)
How far the close is above (+) or below (−) its simple moving average, as a fraction.
−0.0548
Price vs EMA (12)
How far the close is above/below its exponential moving average (weights recent prices more).
−0.0470
Price vs EMA (26)
How far the close is above/below its exponential moving average (weights recent prices more).
−0.0642
Price vs EMA (50)
How far the close is above/below its exponential moving average (weights recent prices more).
−0.0750
Price vs EMA (200)
How far the close is above/below its exponential moving average (weights recent prices more).
−0.0370
Price vs WMA (20)
How far the close is above/below its weighted moving average.
−0.0547
PPO (12/26/9)
Percentage Price Oscillator — MACD expressed as a percent so it compares across stocks. Positive = short-term momentum above long-term.
−0.0180
PPO Signal (12/26/9)
The smoothed signal line of the PPO.
−0.0109
PPO Histogram (12/26/9)
PPO minus its signal line — momentum of the momentum.
−0.0071
ADX (14)
Trend strength on a 0–1 scale (direction-agnostic). Higher = a stronger trend.
0.2155
+DI (14)
Strength of upward directional movement (0–1).
0.1681
−DI (14)
Strength of downward directional movement (0–1).
0.3203
Aroon Up (25)
How recently a new high was made (1 = just now).
0.0000
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.
−1.0000
Parabolic SAR distance
How far price is from the trailing stop-and-reverse level, as a fraction of price.
−0.1217
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).
−0.1137
Vortex −VI (14)
Strength of downward trend movement (centred at 0).
−0.0482
Vortex difference (14)
+VI minus −VI — positive favours an uptrend.
−0.0655
MA slope (50/20)
The recent slope of a moving average (positive = rising trend).
−0.0228
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.
0.0691
Bollinger Bandwidth (20/2)
How wide the bands are relative to price — bigger means more volatile.
0.1321
ATR % (14)
Average True Range as a percent of price — typical daily swing size.
0.0332
Keltner position (20/10/2)
Where price sits within its Keltner Channel (0–1).
0.0429
Keltner width (20/10/2)
Width of the Keltner Channel relative to price.
0.1277
Donchian position (20)
Where price sits within its recent high–low channel (0–1).
0.0784
Donchian width (20)
Width of the recent high–low channel relative to price.
0.1332
Realized volatility (10)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0253
Realized volatility (20)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0243
Realized volatility (60)
Standard deviation of recent daily returns — how jumpy the stock has been.
0.0207
Chaikin Volatility (10/10)
Whether the daily high–low range is expanding (+) or contracting (−).
0.0692
Ulcer Index (14)
A drawdown-based stress measure — higher means deeper/longer dips from recent highs.
4.9733
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 (−).
−0.2612
Money Flow Index (14)
A volume-weighted RSI (0–1). High = strong buying pressure.
0.4585
Chaikin Money Flow (20)
Buying vs selling pressure weighted by volume (−1…+1).
0.0109
Money Flow Multiplier
Where the close finished in the bar's range, the building block of accumulation/distribution (−1…+1).
0.6730
Accum/Dist change (20)
Recent change in the Accumulation/Distribution line (buying vs selling pressure).
0.0109
Price vs VWAP (20)
How far the close is above/below the rolling volume-weighted average price.
−0.0496
Force Index (13)
Return times relative volume — the push behind a move.
−0.0139
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.
−0.8657
Volume Rate of Change (14)
Log change in volume vs n days ago — a volume surge/lull.
0.0337
Volume Rate of Change (25)
Log change in volume vs n days ago — a volume surge/lull.
−1.1475
Relative Volume (z) (20)
How many standard deviations today's volume is above/below its recent average.
−0.2993
Relative Volume (z) (50)
How many standard deviations today's volume is above/below its recent average.
−0.0925
Relative Volume (20)
Today's volume vs its recent average (log scale; >0 = above).
−0.1707
Relative Volume (50)
Today's volume vs its recent average (log scale; >0 = above).
−0.0486
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).
−0.0168
Return (2)
Log return over the horizon (positive = up).
−0.0025
Return (3)
Log return over the horizon (positive = up).
−0.0153
Return (5)
Log return over the horizon (positive = up).
−0.1007
Return (10)
Log return over the horizon (positive = up).
−0.0859
Return (20)
Log return over the horizon (positive = up).
−0.0847
Overnight gap
Open vs the prior close — overnight move.
−0.0133
Intraday range
High minus low as a fraction of price — the day's swing.
0.0209
True range
True range (gap-aware swing) as a fraction of price.
0.0345
Return skew (20)
Asymmetry of recent returns — negative means crash-prone tails.
−1.0613
Return skew (60)
Asymmetry of recent returns — negative means crash-prone tails.
−0.8090
Return kurtosis (20)
Fat-tailedness of recent returns — high means jumpy/extreme moves.
1.7356
Return kurtosis (60)
Fat-tailedness of recent returns — high means jumpy/extreme moves.
1.0466
Downside deviation (20)
Volatility of only the negative returns — pure downside risk.
0.0209
Downside deviation (60)
Volatility of only the negative returns — pure downside risk.
0.0172
Max drawdown (20)
Largest peak-to-trough drop over the window, as a fraction.
0.0962
Max drawdown (60)
Largest peak-to-trough drop over the window, as a fraction.
0.1486
Return/risk (20)
Average return divided by its volatility — recent risk-adjusted return.
−0.1741
Return/risk (60)
Average return divided by its volatility — recent risk-adjusted return.
−0.1207
Return persistence (20)
Whether up days tend to follow up days (+) or reverse (−).
−0.0752
Return persistence (60)
Whether up days tend to follow up days (+) or reverse (−).
−0.2714
Price z-score (20)
How many standard deviations the price is from its recent average.
−1.6801
Price z-score (50)
How many standard deviations the price is from its recent average.
−2.3421
Return z-score (20)
How unusual the latest return is vs recent returns.
−0.5187
Return z-score (50)
How unusual the latest return is vs recent returns.
−0.6573
About General Motors Company
General Motors Company designs, builds, and sells trucks, crossovers, cars, and automobile parts worldwide. It operates through GM North America, GM International, and GM Financial segments. The company markets its vehicles primarily under the Buick, Cadillac, Chevrolet, GMC, Baojun, and…
General Motors Company designs, builds, and sells trucks, crossovers, cars, and automobile parts worldwide. It operates through GM North America, GM International, and GM Financial segments. The company markets its vehicles primarily under the Buick, Cadillac, Chevrolet, GMC, Baojun, and Wuling brand names. In addition, it sells trucks, crossovers, cars, and automobile parts through retail dealers, distributors and dealers, as well as to fleet customers, including daily rental car companies, commercial fleet customers, leasing companies, and governments. Further, the company offers various range of after-sale services through dealer network, such as maintenance, light repairs, collision repairs, vehicle accessories, and extended service warranties. Additionally, it provides automotive financing; and software-enabled services and subscriptions. General Motors Company was founded in 1908 and is based in Detroit, Michigan.
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Sector Consumer Cyclical
Industry Auto Manufacturers
Exchange NYQ
Currency USD