$1.190
-0.020 (-1.65%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
MGX-Prognose durch Analyse ähnlicher Charts
Alphio's MGX stock price prediction model matches the current Metagenomi Therapeutics Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.16 (-2.75%). The 1-week path is $1.17 (-1.41%). 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.
Soll ich Metagenomi Therapeutics Inc-Aktien kaufen?
Metagenomi Inc is not a good buy right now due to significant financial losses and negative performance trends. The current price is $1.19, with a year-to-date change of -28.74% and a 1-year change of -34.62%. Additionally, the RSI is at 35.391, indicating potential oversold conditions but also reflecting weak momentum. The main risk is the ongoing net losses, with the latest reported net income at -$27,482,000 for Q2 2026, which raises concerns about the company's financial stability.
MGX schloss am Friday bei $1.19, nachdem der Kurs -1.65% fallen
Metagenomi Therapeutics Inc (MGX) last closed at $1.19, losing -1.65%. These facts feed the 1-day and 1-week MGX price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Metagenomi Therapeutics Inc (MGX) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf MGX am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für MGX
Historically the probability of a positive August return for MGX is 0.00%. March offers the highest probability of a positive month at 31.75%, while May is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
Diese Seite dient nur der Recherche und ist keine Anlageberatung. Modelle können falsch liegen. Vergangene Wertentwicklung ist kein Indikator für die Zukunft.