$3.000
-0.049 (-1.64%)At close
Price Predictions
Open in app to unlock longer-horizon forecasts.
TRNR Prediction & Forecast by Similar Chart Analysis
Alphio's TRNR stock price prediction model matches the current Interactive Strength Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $2.90 (-3.20%). The 1-week path is $2.81 (-6.23%). 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.
Should I Buy Interactive Strength Inc Stock?
Currently, Interactive Strength Inc (TRNR) is not a strong buy due to its substantial year-to-date decline of 95.24% and a low RSI of 36.253, indicating potential oversold conditions but also a lack of upward momentum. The recent acquisition of STEPR and the raised revenue guidance to over $50 million for 2026 are positive signs, but the company continues to face significant financial challenges, including a net income loss of $7,104,000 in Q2 2026. The main risk is the high debt-to-equity ratio of 924.13%, which raises concerns about financial stability.
TRNR stock price ended at $3.00 on Friday, after losing -1.64%
Interactive Strength Inc (TRNR) last closed at $3, losing -1.64%. These facts feed the 1-day and 1-week TRNR price prediction above.
Forecast Drivers
Interactive Strength Inc (TRNR) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches TRNR, ranked by similarity.
Seasonality analysis for TRNR
Historically the probability of a positive August return for TRNR is 0.00%. January offers the highest probability of a positive month at 21.31%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.