Stock Comparison: EGF vs LFMDP

Comparison Date : 2026-11-04

LFMDP, EGF are showing a bearish technical setup.

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 LFMDP EGF
MACD golden cross 36% (28×) —
MA20/MA60 golden cross 43% (7×) —
RSI oversold recovery 50% (4×) —

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 2026-11-04

Sector

Industry
Healthcare
Health Information Services
Financial Services
Asset Management

Last Price

Last 2 Month line
21.14
9.72

Market Cap

34.71M
34.52M

Dividend Yield

8.95
0.0506

P E

Price-to-Earnings Ratio
N/A
121.5

E P S

Earnings Per Share
0
0

52W Change

Last year
10.22%
4.52%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
22
↧0(0%)
10
↧0(0%)

Support

Key Price Level
19
↥-2(-9%)
9
↥0(0%)

Stop Loss

Short & Medium Term
21
0(0%)
9
0(0%)

Q_Bullish forecast

Quarterly Prediction
22
0

Q_Base forecast

Quarterly Prediction
21
0

Q_Bearish forecast

Quarterly Prediction
20
0

A_Bullish forecast

Annual Prediction
23
0

A_Base forecast

Annual Prediction
21
0

A_Bearish forecast

Annual Prediction
19
0

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
SELL

BOLL

Bollinger Bands
middle:ma20
SELL
SELL

RSI(14)

Relative Strength Index
BUY
SELL

ATR(14)

Average True Range
0.4
0.13

CCI(20)

Commodity Channel Index
SELL
SELL

SAR(20)

Parabolic Stop and Reverse
SELL
SELL

ADX(14)

Average Directional Index
SELL
NEUTRAL

OBV(20)

On-Balance Volume
SELL
NEUTRAL

STOCH(K line)

Stochastic Oscillator
Neutral
Neutral

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.