Kandi Technologies Group Inc

Kandi Technologies Group Inc(KNDI)の株価予測

$3.530

-0.078 (-2.22%)終値時点

価格予想

1-Day Price Prediction
+0.06%
1-Week Prediction
+4.29%
1-Month Prediction
—
2026 Prediction
—
2030 Prediction
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アプリで開くと、より長期の予想を確認できます。

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類似チャート分析による KNDI の予測・予想

Alphio's KNDI stock price prediction model matches the current Kandi Technologies Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $3.53 (+0.06%). The 1-week path is $3.68 (+4.29%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.

Kandi Technologies Group Inc 株は買うべき?

Kandi Technologies is not a good buy right now due to its current price of 3.41, a very low RSI of 20.239 indicating oversold conditions, and a forward P/E ratio of 40.32 suggesting overvaluation despite potential future earnings. The stock has seen a drastic decline of 72.28% over the past year, and the recent 1-for-10 reverse stock split has further eroded investor confidence. The main risk is the negative net income of -49,153,346 USD reported for Q4 2024, which raises concerns about the company's profitability and financial health.

KNDI の株価は Friday に $3.53 で引け、その前に下落 -2.22%

Kandi Technologies Group Inc (KNDI) last closed at $3.53, losing -2.22%. These facts feed the 1-day and 1-week KNDI price prediction above.

予想の要因

Kandi Technologies Group Inc(KNDI)の予想は、類似したチャートパターン・季節性・移動平均を組み合わせています。

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

類似チャートパターン

直近の値動きが KNDI に最も近い銘柄を、類似度順に表示します。

KNDI の季節性分析

Historically the probability of a positive November return for KNDI is 10.26%. March offers the highest probability of a positive month at 63.49%, while December is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.

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本ページは調査目的であり、投資助言ではありません。モデルは誤ることがあります。過去の実績は将来の成果を保証しません。

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