ILMN
38
2
DNB
24
2
CL
64
3
PGR
70
-3
NFLX
59
-2
CCL
41
-3
ZTS
38
9
GPC
58
-5
COP
51
-2
BMY
35
2
T
41
2
CF
27
-12
INTC
36
-5
PWR
76
2
SJM
33
9
PAYX
47
-7
HD
31
5
CMS
54
-6
GS
78
2
HCA
35
-9
ILMN
38
2
DNB
24
2
CL
64
3
PGR
70
-3
NFLX
59
-2
CCL
41
-3
ZTS
38
9
GPC
58
-5
COP
51
-2
BMY
35
2
T
41
2
CF
27
-12
INTC
36
-5
PWR
76
2
SJM
33
9
PAYX
47
-7
HD
31
5
CMS
54
-6
GS
78
2
HCA
35
-9
Financhill
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Lyft Stock Price Chart

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Details on how to profit here.
Buy
51

LYFT
Lyft

Last Price:
16.37
Seasonality Move:
-11.07%

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Stock Market Legend Shares Biggest Prediction Ever:

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  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and LYFT is experiencing buying pressure, which is a positive indicator for future bullish movement.

Lyft Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 16.57 Sell
20-day SMA: 17.66 Sell
50-day SMA: 17.73 Sell
200-day SMA: 13.25 Buy
8-day EMA: 16.72 Sell
20-day EMA: 17.36 Sell
50-day EMA: 17.07 Sell
200-day EMA: 14.42 Buy

Lyft Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.43 Sell
Relative Strength Index (14 RSI): 41.74 Sell
Chaikin Money Flow: 5850426 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (16.84 - 19.26) Sell
Bollinger Bands (100): (13.2 - 18.06) Buy

Lyft Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Lyft Stock

Is Lyft Stock a Buy?

  • Lyft share price is 16.37 while LYFT 8-day simple moving average is 16.57, which is a Sell signal.
  • The stock price of LYFT is 16.37 while Lyft 20-day SMA is 17.66, which makes it a Sell.
  • Lyft 50-day simple moving average is 17.73 while LYFT share price is 16.37, making it a Sell technically.
  • LYFT stock price is 16.37 and Lyft 200-day simple moving average is 13.25, creating a Buy signal.

LYFT Technical Analysis vs Fundamental Analysis

Buy
51
Lyft (LYFT) is a Buy

Is Lyft a Buy or a Sell?

  • Lyft stock is rated a Buy
    The current Lyft [LYFT] share price is $16.37. The Score for LYFT is 51, which is 2% above its historic median score of 50, and infers lower risk than normal.

Lyft Stock Info

Market Cap:
6.54B
Price in USD:
16.37
Share Volume:
8.31M

Lyft 52-Week Range

52-Week High:
20.82
52-Week Low:
7.85
Buy
51
Lyft (LYFT) is a Buy

Lyft Share Price Forecast

  • What is the Lyft stock price today?
    The Lyft stock price is 16.37 USD today.
  • Will LYFT stock go up or go down?
    Lyft> share price is forecast to RISE/FALL based on technical indicators
  • Is Lyft overvalued?
    According to simple moving average, exponential moving average, oscillators, and other technical indicators, Lyft is not overvalued.

Is Lyft Stock a Buy?

  • Lyft share price is 16.37 while LYFT 8-day exponential moving average is 16.72, which is a Sell signal.
  • The stock price of LYFT is 16.37 while Lyft 20-day EMA is 17.36, which makes it a Sell.
  • Lyft 50-day exponential moving average is 17.07 while LYFT share price is 16.37, making it a Sell technically.
  • LYFT stock price is 16.37 and Lyft 200-day simple moving average is 14.42, creating a Buy signal.

Fundamental Analysis of Lyft

Is Lyft a good investment?

  • Analysts estimate an earnings increase this quarter of $0.05 per share, a decrease next quarter of $0.05 per share, an increase this year of $0.10 per share, and an increase next year of $0.24 per share.

Technical Analysis of Lyft

Should I short Lyft stock?

  • LYFT Moving Average Covergence Divergence (MACD) indicator is -0.43, suggesting Lyft is a Sell
  • Lyft Relative Strength Index (RSI) is 41.74, which suggest Lyft is oversold
  • The Bollinger Bands (25) for Lyft is (16.84 - 19.26), which suggest Lyft is a Buy
  • The Bollinger Bands (100) for Lyft is (13.2 - 18.06), which suggest Lyft is a Buy

* Lyft stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.