Stock Comparison: GRF vs LTRN

Comparison Date : 2026-11-05

LTRN is showing a bearish technical setup; GRF is mixed or neutral.

Based on end-of-day indicators (RSI, MACD, moving averages, volume). Not investment advice.

VS VS

How these signals performed on each stock 20 trading-day horizon, since 2024-01-01

Signal GRF LTRN
MACD golden cross 37% (35×) 45% (22×)
MA20/MA60 golden cross 100% (4×) 75% (4×)
RSI oversold recovery — 100% (6×)

Win rate with number of historical occurrences in parentheses. A single occurrence is not evidence. Returns are gross of transaction costs. Full market-wide results: backtest.php. Not investment advice.

Basic Stock Information 2026-11-05

Sector

Industry
Financial Services
Asset Management
Healthcare
Biotechnology

Last Price

Last 2 Month line
10.3
0.58

Market Cap

38.97M
39.04M

Dividend Yield

6.92
-

P E

Price-to-Earnings Ratio
6.85
N/A

E P S

Earnings Per Share
0
-1.99

52W Change

Last year
3.81%
-41.14%

Key Price & Prediction 2026-11-05

Resistance

Key Price Level
10
↧0(0%)
1
↧0(0%)

Support

Key Price Level
9
↥-1(-10%)
0
↥0(0%)

Stop Loss

Short & Medium Term
10
0(0%)
0
0(0%)

Q_Bullish forecast

Quarterly Prediction
10
1

Q_Base forecast

Quarterly Prediction
10
0

Q_Bearish forecast

Quarterly Prediction
9
0

A_Bullish forecast

Annual Prediction
11
2

A_Base forecast

Annual Prediction
9
0

A_Bearish forecast

Annual Prediction
9
0

Technical Analysis Signals 2026-11-05

MA(20,100)

Moving Avg(20,100)
NEUTRAL
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
SELL

BOLL

Bollinger Bands
middle:ma20
BUY
SELL

RSI(14)

Relative Strength Index
SELL
BUY

ATR(14)

Average True Range
0.18
0.2

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
NEUTRAL
SELL

OBV(20)

On-Balance Volume
NEUTRAL
SELL

STOCH(K line)

Stochastic Oscillator
Neutral
Oversold

These predictions are generated using a combination of technical analysis, fundamental factors, market sentiment indicators, and machine learning models trained on historical price data. Probabilities represent the likelihood of reaching the target price within the specified timeframe based on our models. All predictions are for informational purposes only and should not be considered as financial advice.