TrendAviv Why is Teva useful for the platform?
Because it adds healthcare diversification and a globally recognized Israeli name.
Equities
[Horizon: T+1 Close]
BUY
Teva TEVA
Forecasting and modeling
Latest reference level
30.47
Active-horizon target
30.64
+0.55%
Raw interval (bands)
S1 29.34
R1 31.60
R1 31.60
Volatility (σ)
26.9%
Assessment (Yesterday for Today): 31.61
Model quality (out-of-sample)
84.6%
Out-of-sample sample: 200 sessions
Why this asset matters
Teva adds healthcare and pharmaceuticals to the site’s equity coverage, making the platform less dependent on technology and financials alone. As a flagship Israeli name, it is useful both as a local market component and as a globally followed healthcare stock.
What usually moves this asset
Teva is usually driven by product and pipeline news, litigation and balance-sheet themes, healthcare sentiment, global defensives positioning and the tone of the local Israeli equity market.
How to read this page
Read this page as a short-horizon signal on a large Israeli healthcare name. Event sensitivity often matters as much as the headline directional tilt.
Methodology and dashboard reading (Model Card)
Model architecture:
Tree-ensemble architecture (Random Forest / gradient-boosted logic) built on price structure, volatility regime, macro-relative features, cross-asset context and sentiment inputs. For non-FX assets, the model is not centered on rate differentials alone.
Tree-ensemble architecture (Random Forest / gradient-boosted logic) built on price structure, volatility regime, macro-relative features, cross-asset context and sentiment inputs. For non-FX assets, the model is not centered on rate differentials alone.
Horizons (Targets):
T+1: Direct forecast for the currently displayed horizon close.
T+30: Direct horizon forecasts for each trading day up to T+30, displayed as a path.
1M-1Y: asset_model_targets_1m_1y_nonfx
T+1: Direct forecast for the currently displayed horizon close.
T+30: Direct horizon forecasts for each trading day up to T+30, displayed as a path.
1M-1Y: asset_model_targets_1m_1y_nonfx
Validation:
Walk-forward testing on expanding history without future leakage. Retraining is performed inside each evaluation step.
Walk-forward testing on expanding history without future leakage. Retraining is performed inside each evaluation step.
- Entry: At spot price (snapshot before model calculation). Exit: At active-horizon close.
- Divergence: If the technical trend is falling but the signal is BUY, the model has detected a local oversold condition and is trading a rebound (mean reversion).
- Execution risk: The signal is not investment advice and does not include sizing. The model does not account for broker spreads, slippage, or carry costs (swap/rollover for FX).
- News risk: At extreme risk sentiment (GDELT), raw bands are not calibrated for outliers. The probability of fat tails increases.
1. Current market regime (Technical & Macro View)
Heuristic regime gauges
1W
Strong growth
1M
Strong growth
6M
Neutral
Heuristic regime display for page context, not a price-return backfill.
Heuristic regime indicators
Regime oscillator Displayed as a heuristic regime oscillator for page context. In the current version, this is not a full classical RSI calculation from the complete indicator pipeline.
90.0 (Overbought)
Trend-bias proxyBullish
Macro / carry biasBelow SMA 50/200
Volatility (σ)26.9%
Display heuristics for current regime reading. Not a full classical technical-indicator calculation.
Volatility (σ)26.9%
Macro factors (Percentile Score)
Values are normalized from 0 to 100
Sentiment (GDELT NLP)
Tension indexN/A
StatusData unavailable
Source: GDELT Project API
Coverage: ~400 media / 24h
Updated: 25.10.2026 02:30 UTC
News-tone classification, not a factual confirmation of the event.
Coverage: ~400 media / 24h
Updated: 25.10.2026 02:30 UTC
News-tone classification, not a factual confirmation of the event.
2. Deep quantitative analytics
Historical seasonality
This panel is temporarily hidden while historical monthly returns are being rebuilt from the same source-aligned series used by the model.
A real seasonality heatmap will return after monthly returns are recalculated from the same source-aligned history used by the model.
Medium-term continuation estimate
For indices, equities, bonds and commodities, the 1M-1Y block is shown as a continuation of the 30-trading-day ML anchor, not as an FX-style CIP fair-value model.
Medium-term scenario: 35.91
Inputs: 30-trading-day ML anchor + medium-term continuation profile
30D anchor: 35.91
Extension profile: Anchor continuation with volatility widening
Current level: 30.4730D anchor: 35.91
Extension profile: Anchor continuation with volatility widening
Medium-term scenario: 35.91
Mean-revertContinue
Gap versus 30D anchor: 0.00%
Model verdict: Balanced continuation
3. ML model assessment (Predictive Analytics)
Historical validation: model forecast vs reality
Bands are nominal (raw). Current empirical out-of-sample coverage: 89.5%. The model is still being calibrated.
For historical validation, this chart uses the same source as the model input: TASE / Yahoo Finance. This removes cross-source shift.
Return-space check: predicted vs realized active-horizon move
This view removes the false level-lag effect and shows the predicted change from the previous close.
ML model summary (tree ensemble)
Analyzing macroeconomic data, the ML model detects a confident bullish (uptrend) regime on the medium-term horizon. The news-sentiment layer is unavailable in this refresh and is excluded from the narrative interpretation. RSI (90.0) confirms the local structure.
Active-horizon signal: BUY
Return to target: +0.55%
Return to target: +0.55%
Attention (Risk calibration):
Raw interval. Empirical OOS coverage: 89.5%. Calibration is still required (fat tails).
Raw interval. Empirical OOS coverage: 89.5%. Calibration is still required (fat tails).
Directional model accuracy estimate 55.5%
Empirical coverage 89.5%
MAE edge Baseline (naive forecast) = tomorrow's price equals today's price. Edge = (MAE_naive - MAE_model) / MAE_naive.
MAE Model: 0.3846
MAE Naive: 0.3519-4.5% Edge
MAE Model: 0.3846
MAE Naive: 0.3519-4.5% Edge
Out-of-sample sample Based on 200 recent out-of-sample sessions shown on this page. Small samples can materially overstate or understate stability.200 sessions
4. Probabilities and trading signals
Close probability over a 30-trading-day horizon Mode: Normal (Calm)
Estimate of the probability that price closes above or below target levels exactly after 30 trading days (T+30 sessions).
Calculated via Gaussian CDF N(μ, σ). Does not account for skewness or fat tails during geopolitical FX shocks.
Close ABOVE level (Upside)
Level R1 (31.60)97%
Level R2 (32.06)95%
Close BELOW level (Downside)
Level S1 (29.34)1%
Level S2 (28.88)1%
Trading interpretation of the signal:
- Instrument: TEVA
- Entry: At current session close (04:30).
- Exit: At active-horizon close (26.10).
- Model: BUY (Expected return: +0.55%)
Signals are produced exclusively by the ML core and are not investment advice.
Attention: The daily forecast (left) is displayed as direct horizon estimates for each trading day up to T+30. The long-horizon block (right) is a structural scenario layer, so the trajectories can diverge.
Short-horizon ML expectations (daily)
| Date | ML target | Raw interval (bands) | Signal |
|---|---|---|---|
| 26.10.2026 (Mon) | 30.64 | [29.80 - 31.49] | BUY |
| 27.10.2026 (Tue) | 30.81 | [29.63 - 32.03] | BUY |
| 28.10.2026 (Wed) | 30.97 | [29.53 - 32.49] | BUY |
| 29.10.2026 (Thu) | 31.14 | [29.47 - 32.91] | BUY |
| 30.10.2026 (Fri) | 31.32 | [29.44 - 33.31] | BUY |
| 02.11.2026 (Mon) | 31.49 | [29.43 - 33.69] | BUY |
| 03.11.2026 (Tue) | 31.66 | [29.43 - 34.06] | BUY |
| 04.11.2026 (Wed) | 31.83 | [29.45 - 34.42] | BUY |
| 05.11.2026 (Thu) | 32.01 | [29.47 - 34.77] | BUY |
| 06.11.2026 (Fri) | 32.18 | [29.50 - 35.12] | BUY |
| 09.11.2026 (Mon) | 32.36 | [29.53 - 35.46] | BUY |
| 10.11.2026 (Tue) | 32.54 | [29.58 - 35.80] | BUY |
| 11.11.2026 (Wed) | 32.72 | [29.62 - 36.14] | BUY |
| 12.11.2026 (Thu) | 32.90 | [29.67 - 36.47] | BUY |
| 13.11.2026 (Fri) | 33.08 | [29.73 - 36.80] | BUY |
| 16.11.2026 (Mon) | 33.26 | [29.79 - 37.14] | BUY |
| 17.11.2026 (Tue) | 33.44 | [29.85 - 37.47] | BUY |
| 18.11.2026 (Wed) | 33.63 | [29.91 - 37.80] | BUY |
| 19.11.2026 (Thu) | 33.81 | [29.98 - 38.13] | BUY |
| 20.11.2026 (Fri) | 34.00 | [30.05 - 38.46] | BUY |
| 23.11.2026 (Mon) | 34.18 | [30.13 - 38.78] | BUY |
| 24.11.2026 (Tue) | 34.37 | [30.20 - 39.11] | BUY |
| 25.11.2026 (Wed) | 34.56 | [30.28 - 39.44] | BUY |
| 26.11.2026 (Thu) | 34.75 | [30.36 - 39.77] | BUY |
| 27.11.2026 (Fri) | 34.94 | [30.44 - 40.10] | BUY |
| 30.11.2026 (Mon) | 35.13 | [30.52 - 40.43] | BUY |
| 01.12.2026 (Tue) | 35.32 | [30.61 - 40.76] | BUY |
| 02.12.2026 (Wed) | 35.52 | [30.70 - 41.10] | BUY |
| 03.12.2026 (Thu) | 35.71 | [30.79 - 41.43] | BUY |
Long-horizon structural expectations
| Horizon end | ML target | Delta | Raw interval (bands) | Signal |
|---|---|---|---|---|
| 25.01.2027 (1 quarter) | 36.62 | +20.20% | [29.41 - 45.07] | BUY |
| 25.04.2027 (6 months) | 37.72 | +23.81% | [26.52 - 52.10] | BUY |
| 25.10.2027 (1 year) | 40.09 | +31.57% | [23.42 - 64.23] | BUY |
Long horizons are shown as a structural scenario layer built from spot, rates, volatility and macro drift. Read them separately from the short-horizon ML forecast.
5. Research sandbox (Illustrative sensitivity)
Stress-test calculator (What-If Analysis)
Illustrates linear sensitivity to shocks (based on heuristic weights). Under stress, the risk corridor widens (volatility).
Short-horizon ML forecast (up to 30 trading days)
Long-horizon structural scenario (up to 1 year)
6. Interactive chart (TradingView)
Attention: the base model calculation uses TASE / Yahoo Finance. The chart below shows the TradingView feed (TASE:TEVA), so small quote differences are possible.
Related market pages
FAQ
How should I read the signal here?
As a short-term directional lean into the currently displayed horizon close, paired with event sensitivity and volatility.
Why can stock-specific news dominate?
Because pharmaceutical names can move sharply on legal, pipeline or product headlines.
Why compare it with TA-125?
To see whether the move is broad-market driven or company-specific.