CARVANA CLASS A stock forecast: down to 67.50 USD CVNA stock price prognosis

STOCK

Forecast for Fri 14 Jun 2024 price 65.88

CARVANA CLASS A stock price forecast for further price development down to -23.65% (time horizon: 1 day) and price target of 67.50 USD. Short-term (time horizon: 2 weeks) CARVANA CLASS A share price prediction for 2024-06-14 with daily closed price projections

Key Facts

Symbol CVNA 

ISIN US1468691027 

CUSIP 146869102

Currency USD

Category Retail-Auto Dealers & Gasoline Stations

Forecast price change %

Relative Strength Index (RSI)

Finance numbers

Revenue 6,732,000,000.0

Earnings per share -1.90

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On our site we made daily predictions for finance products based on statistical analysis. You can export / download forecasted data as CSV file, no login required. The information can be used for day trading.

Summerized Form 10-K with GPT-2

Additionally, consumers are often dissatisfied with the car buying process. "• Control and no pressure. Seamless Transaction Technology. Transportation and Fulfillment. The shares of Class B common stock have no economic rights. We also expect that our business will evolve in ways that may be difficult to predict. We rely on agreements with lenders to finance our vehicle inventory purchases. They may be costly to comply with, and may conflict with other rules. New regulations could be enacted. In addition, we do not own or control the operation of these facilities. Litigation may be necessary to defend against these claims. We do not intend to pay dividends on our Class A common stock for the foreseeable future.

Summerized Form 10-K with GPT-2 https://www.sec.gov/Archives/edgar/data/1690820/000169082021000069/0001690820-21-000069.txt
Candlestick patterns

Candlestick patterns can be used as additional information for price prediction. Following list show which pattern applies on latest price information.

  • Meta analyst score 30.38/100
    • Not in ideal financial position.
    • Historical view, profit is growing.
    • Company revenue is not growing faster compared with the industry.
    • Stock price is under book price value.

Institutional ownership list is based on filling form information

Fund ownership list is based on filling form information

Fund name Date Amount Profile
MFS SERIES TRUST X 2023-11-30 6025 Long
iShares Trust 2023-11-30 27375 Long
SCHWAB STRATEGIC TRUST 2023-11-30 435332 Long
SCHWAB STRATEGIC TRUST 2023-11-30 51419 Long
SCHWAB STRATEGIC TRUST 2023-11-30 6687 Long

Insider trading for CARVANA CLASS A

CIK Name Date Action T-Test 1day T-Test 7day T-Test 14day T-Test 30day
1700545 Breaux Paul W. 2024-04-02 SALE Accept Accept Accept Accept
1700537 Huston Benjamin E. 2024-04-02 SALE Reject Reject Reject Accept
1700538 Gill Daniel J. 2024-04-02 SALE Reject Accept Accept Accept
1700540 Jenkins Mark W. 2024-04-01 SALE Reject Accept Reject Reject
1772671 Parikh Neha 2024-03-01 BUY Accept Accept Accept Reject
1783558 Palmer Stephen R 2024-04-02 SALE Accept Accept Accept Accept
1700542 Keeton Ryan S. 2024-04-02 SALE Accept Accept Accept Accept
1700548 Garcia Ernest C. Iii 2024-04-02 SALE Accept Accept Accept 0
Assets / Liabilities

Bollinger Bollinger Bands for CARVANA CLASS A can provide the information where the market is moving based on price information.

CARVANA CLASS A Short Volume Ratio is shown in the diagram. Short volume sales can be seen as an investor sentiment.

Converting prices to returns CARVANA CLASS A.

On-Balance Volume information for CARVANA CLASS A. On-Balance Volume information can be an indicator for bullish or bearish outcome.

Accumulation / Distribution (A/D) indicator information for CARVANA CLASS A. The indicator identify divergences between price and volume flow.

Aroon Oscillator information for CARVANA CLASS A. The trend-following indicator can show the strengh of a current trend and likelihood that trend can continue.

Average Directional Index (ADX) information for CARVANA CLASS A. The index can be used to identify the strengh of a trend.

Moving Average Convergence Divergence (MACD) for CARVANA CLASS A. The indicator helps to predict trend direction and the momentum of the trend.

Stochastic Oscillator as momentum indicator for CARVANA CLASS A. The indicator is useful for identifying overbought and oversold levels.

Relative Strength Index (RSI) for CARVANA CLASS A. RSI is a momentum oscillator that measures the speed and change of price development. The momentum indicator was created by analyst Welles Wilder. The result compares recent gains and losses over restricted time period. Primary usage of the indicator is to identify overbought or oversold signals. When RSI indicator reaches a value of 70 it could mean that speculators should consider selling, suggests Wilder and Chong. Or vice versa when selling excess at which the RSI Indicators show a value of 30 [ Relative Strength Index for Developing Effective Trading Strategies in Constructing Optimal Portfolio ].

Heikin Ashi trading signals are generated based on the Heikin Ashi candles, which are a type of candlestick that smooths out the price action and can help to identify trends. Heikin Ashi signals can be used to identify both long and short trading opportunities.

The awesome oscillator is a momentum indicator that measures the speed and strength of price movements. It is calculated by subtracting a 34-period simple moving average (SMA) from a 5-period SMA.

The Parabolic SAR indicator is a trend-following indicator that uses a series of dots to indicate when a trend is likely to reverse. The Parabolic SAR is a lagging indicator, meaning that it does not predict reversals, but rather confirms them after they have already occurred.

Moving Average Crossover

52W High 52W Low Market Cap

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CARVANA CLASS A on Nasdaq

CARVANA CLASS A on finviz

Figure below show the stock predictions.
Date Closing price Prediction was updated
2024-05-20 67.50 2024-04-19 08:59
2024-05-21 67.28 2024-04-19 08:59
2024-05-23 67.08 2024-04-19 08:59
2024-05-24 66.98 2024-04-19 08:59
2024-05-22 67.16 2024-04-19 08:59
2024-05-27 66.85 2024-04-19 08:59
2024-05-28 66.82 2024-04-19 08:59
2024-06-10 66.07 2024-04-19 08:59
2024-06-11 66.02 2024-04-19 08:59
2024-06-07 66.14 2024-04-19 08:59
2024-06-05 66.24 2024-04-19 08:59
2024-05-29 66.77 2024-04-19 08:59
2024-05-30 66.60 2024-04-19 08:59
2024-06-03 66.41 2024-04-19 08:59
2024-06-04 66.34 2024-04-19 08:59
2024-05-31 66.48 2024-04-19 08:59
2024-06-06 66.18 2024-04-19 08:59
2024-06-12 65.99 2024-04-19 08:59
2024-06-13 65.96 2024-04-19 08:59
2024-06-14 65.88 2024-04-19 08:59
2024-04-22 71.67 2024-04-19 08:59
2024-04-23 72.10 2024-04-19 08:59
2024-05-15 67.38 2024-04-19 08:59
2024-05-16 67.47 2024-04-19 08:59
2024-04-24 71.56 2024-04-19 08:59
2024-05-03 69.69 2024-04-19 08:59
2024-05-08 68.60 2024-04-19 08:59
2024-05-09 68.26 2024-04-19 08:59
2024-05-17 67.54 2024-04-19 08:59
2024-04-25 70.93 2024-04-19 08:59
2024-04-26 70.70 2024-04-19 08:59
2024-05-10 67.64 2024-04-19 08:59
2024-04-29 70.35 2024-04-19 08:59
2024-04-30 70.29 2024-04-19 08:59
2024-05-01 69.82 2024-04-19 08:59
2024-05-02 70.05 2024-04-19 08:59
2024-05-06 69.10 2024-04-19 08:59
2024-05-07 68.80 2024-04-19 08:59
2024-05-13 67.53 2024-04-19 08:59
2024-05-14 67.38 2024-04-19 08:59

The forecast (dashed curve) of the share price performance is based on historical data. Our forecast model is based on mathematical, statistical methods. The website offers price forecasts and analysis tools for equities and other securities, which are exclusively based on the prices of these securities in the past. Information about these prices is provided to us by third parties. Although we believe, If we believe that our sources are reliable, we cannot guarantee the accuracy, completeness, timeliness and correct sequencing of this information. We do not investigate the issuers of the securities to which our forecasts relate, nor do we consider any financial data or other data of such issuers with the exception of the past prices of the securities. Therefore, our forecasts do not constitute an analysis of other commercial or financial factors or circumstances, that may be relevant for future security price flows. Investments require additional considerations. Our forecasts cannot reflect the specific situation. Experience and risk profile of an individual investor or the tax implications an investment may have for the investor. Although we believe that our mathematical models are a tool to try to explore the possibility for future price development with the help of past performance, such developments are subject to a multitude of different influences. and therefore not really predictable. We cannot guarantee the success of any investment you make based on the information published here. This website is for information purposes only. All information and data on this website cannot be guaranteed to be accurate, accuracy, completeness and appropriateness - neither explicit nor implicit.