Federal Agricultural Mortgage Corporation

Federal Agricultural Mortgage Corporation (AGM.A) Technical Analysis

$154.000

+1.001 (+0.65%)At close

Technical Sentiment

Overall Consensus

Neutral
Sell
5
Buy
5

Technical Analysis Consensus

Neutral
Sell
2
Buy
2

Moving Average Consensus

Neutral
Sell
3
Buy
3

Federal Agricultural Mortgage Corporation (AGM.A) Moving Averages Convergence Divergence (MACD) indicator is 0.41, suggesting AGM.A is Neutral.

Federal Agricultural Mortgage Corporation (AGM.A) 20-Day simple moving average is 161.91, while Federal Agricultural Mortgage Corporation (AGM.A) share price is $—, making it Sell.

Federal Agricultural Mortgage Corporation (AGM.A) 60-Day simple moving average is 149.95, while Federal Agricultural Mortgage Corporation (AGM.A) share price is $—, making it Buy.

Technical Analysis for AGM.A

AI Technical AGM.A

As of 2026-08-29, the technical board for Federal Agricultural Mortgage Corporation (AGM.A) reads neutral: 5 indicators are flashing buy, 5 are indicating sell, and 3 are neutral. Price at $154.00 sits below the 5-day, 10-day and 20-day moving averages and above the 60-day and 200-day.

Momentum readings: RSI stands at 43.147, MACD stands at 0.414 (Buy), Stochastic %K stands at 2.721 (Buy), Stochastic %D stands at 0.907 and CCI stands at -106.647.

AGM.A trades above the 60-day SMA (149.95) and above the 200-day SMA (136.31). Immediate resistance sits at Classic R1 163.87, then R2 170.43. Support sits at Classic S1 151.87, then S2 146.43.

Federal Agricultural Mortgage Corporation (AGM.A) Support & Resistance Level

NameS3S2S1Pivot PointsR1R2R3
Classic139.865146.433151.865158.433163.865170.433175.865
Fibonacci207.262213.948218.078224.764231.449235.580242.265
S3
S2
S1
Pivot Points
R1
R2
R3

Federal Agricultural Mortgage Corporation (AGM.A) Technical Indicators

2026-08-29

NameValue
RSI_1443.147
STOCHk_14_3_32.721
STOCHd_14_3_30.907
CCI_20-106.647
AO_5_34-1.061
MOM_10-11.000
MACD_12_26_90.414

Federal Agricultural Mortgage Corporation (AGM.A) Relative Strength Index (RSI_14) is 43.147, creating a Neutral signal.

Federal Agricultural Mortgage Corporation (AGM.A) Stochastic %K is 2.721, creating a Buy signal.

Federal Agricultural Mortgage Corporation (AGM.A) Stochastic %D is 0.907, creating a Buy signal.

Federal Agricultural Mortgage Corporation (AGM.A) CCI_20 is -106.647, creating a Buy signal.

Federal Agricultural Mortgage Corporation (AGM.A) Awesome Oscillator (AO) is -1.061, creating a Sell signal.

Federal Agricultural Mortgage Corporation (AGM.A) Momentum (MOM) is -11.000, creating a Sell signal.

Federal Agricultural Mortgage Corporation (AGM.A) Moving Average Convergence Divergence (MACD) is 0.414, creating a Buy signal.

Federal Agricultural Mortgage Corporation (AGM.A) Moving Average

2026-08-29

PeriodSimpleSignal
MA_5155.000Sell
MA_10157.298Sell
MA_20161.913Sell
MA_60149.952Buy
MA_200136.310Buy
MA_250134.517Buy

Federal Agricultural Mortgage Corporation (AGM.A) 5-Day simple moving average is 155.000, while Federal Agricultural Mortgage Corporation (AGM.A) share price is $, making it a Sell.

Federal Agricultural Mortgage Corporation (AGM.A) 10-Day simple moving average is 157.298, while Federal Agricultural Mortgage Corporation (AGM.A) share price is $, making it a Sell.

Federal Agricultural Mortgage Corporation (AGM.A) 20-Day simple moving average is 161.913, while Federal Agricultural Mortgage Corporation (AGM.A) share price is $, making it a Sell.

Federal Agricultural Mortgage Corporation (AGM.A) 60-Day simple moving average is 149.952, while Federal Agricultural Mortgage Corporation (AGM.A) share price is $, making it a Buy.

Federal Agricultural Mortgage Corporation (AGM.A) 200-Day simple moving average is 136.310, while Federal Agricultural Mortgage Corporation (AGM.A) share price is $, making it a Buy.

Federal Agricultural Mortgage Corporation (AGM.A) 250-Day simple moving average is 134.517, while Federal Agricultural Mortgage Corporation (AGM.A) share price is $, making it a Buy.

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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