$2.108
-0.017 (-0.80%)Al cierre
Predicciones de precio
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Predicción y previsión de TLF por análisis de gráficos similares
Alphio's TLF stock price prediction model matches the current Tandy Leather Factory Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.11 (+0.17%). The 1-week path is $2.15 (+2.09%). 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.
¿Debería comprar acciones de Tandy Leather Factory Inc?
Tandy Leather Factory Inc is not a good buy right now due to its low RSI of 16.553, indicating it is oversold, and a forward P/E ratio of 11.71, which suggests limited growth potential compared to its peers. Additionally, the stock has experienced a significant decline of 22.21% year-to-date and a 28.66% drop over the past year, indicating ongoing weakness. The main risk is its negative net income trend, with a loss of $930,000 reported in Q4 2025, which raises concerns about profitability moving forward.
TLF cerró en $2.11 el Friday, tras bajar -0.80%
Tandy Leather Factory Inc (TLF) last closed at $2.1080999, losing -0.80%. These facts feed the 1-day and 1-week TLF price prediction above.
Factores de la previsión
Los factores de la previsión de Tandy Leather Factory Inc (TLF) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de TLF, ordenadas por similitud.
Análisis de estacionalidad de TLF
Historically the probability of a positive November return for TLF is 0.00%. January offers the highest probability of a positive month at 52.46%, while March 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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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.