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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Energy · ·
$15.25
▼ $0.03 (-0.2%)
Market data updated: 09/16 12:25 PM
Fundamentals updated: 09/16/2026
News analyzed: 09/16/2026
Market Cap
$1.22B
Day Range
$15.05 - $15.65
52-Week Range
$5.71 - $37.88
Beta
—
Next Earnings
16.12.2026
FCEL is a stock from the Energy sector — Oil, gas, and renewable energy — highly volatile profitability, dependent on global commodity prices.
+124.6% (1Y)
Strengths: 8/30 factors positiveRisk: Medium
This score and all analysis on this page are for informational and educational purposes only and do not constitute investment advice. Read the full disclaimer
Weighted: Technical 25% · Fundamental 20% · Growth 15% · Valuation 15% · News 10% · Quality 10% · Risk 5%
Overall Score
🔴 Bearish
Technical Trend
🔴 Bearish
Insiders
🟡 Mixed
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Revenue growth (last year)
Revenue growth (last year): 41.0%
Growth
Biggest negative driver
Operating margin
Operating margin: -121.6% (negative)
Fundamental
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 3 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 3
TIME ECHO identifies historical situations that resemble the current market state. Historical outcomes are not guarantees of future performance. Similarity does not imply causation, and results may change as new data becomes available.
🗓️ What Changed This Week
🌱 Building History
We don't have a real data point from a week ago for this stock yet. The weekly comparison will appear once enough history has accumulated.
📊 Score History
44
Today
—
30D
—
90D
—
1Y
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
This isn't a price-direction forecast — just a synthesis of real, already-computed data, and future conditions that could change the picture.
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
54
Quality
47
Value
55
Momentum
26
Risk
46
Sentiment
92
Fundamental
26
Institutional
50
Stocks with a similar DNA right now
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage of FuelCell Energy, Inc. (FCEL) has primarily focused on its financial performance and market positioning amid industry comparisons. Headlines highlight the company’s reported $1.3 billion in committed backlog and $2.3 billion in awarded capacity backlog, sparking speculation about future revenue potential. Analysts also note execution risks, given its valuation relative to sales. While FCEL’s stock saw modest gains, it lagged behind peers like Bloom Energy, which surged due to perceived AI-related demand. The discussion centers on backlog growth, profitability concerns, and market positioning within the fuel cell sector.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about FuelCell Energy, Inc.. News trend score: 92. Reason: 11 of the last 20 articles are positive, versus 4 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
32
🎯 Conviction (vs. Emotion)
39
Psychology
79
Fundamentals
26
Technical
26
Valuation
55
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Price (3M)
-24%
Market Narrative
49
Fundamental Reality
39
Narrative Gap
+10
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for FCEL suggests a **cautious, non-emotional stance**—no dominant bias is present, as all psychological states remain low or neutral. The lack of extreme volatility (0.81x ATR) and neutral RSI (43) indicate traders are neither panicked nor overly optimistic, despite elevated volume (1.14x) and positive sentiment (68/100). The narrow narrative-reality gap (1 point) implies no misalignment between market perception and fundamentals. The key question is whether the elevated volume reflects genuine interest or merely speculative positioning, given the absence of strong momentum or extreme sentiment extremes.
Updated: 09/09/2026, 02:58 PM
👥 What the crowd believes
"FCEL targets data center conversions... positioning for a 100-megawatt production target by October 2026"
"margins were hit by Fit Energy deal... AI data center funding + Texas 75MW reservation"
"reported second-quarter 2026 financial results which fell below Wall Street’s expectations for sales and earnings per share"
"reports a 29% revenue drop but secures landmark data center agreements and a $737.3 million cash reserve"
Signal classification confidence: High (confidence in the behavioral read, not a price prediction). Describes observable market behavior, not what any individual investor thinks, and is not a buy/sell signal.
🏛️ Investor DNA — Historical Investors
A Historical Strategy Simulation: assuming each investor follows their documented principles, how would they rate this stock today? This is not a prediction of what they would actually do.
🟢 Best match
Benjamin Graham — 100/100
🔴 Weakest match
Thorstein Veblen — 21/100
🗣️ Why do they disagree?
Based on Benjamin Graham’s documented principles, the model estimates the stock is highly attractive to both defensive and enterprising value investors, reflected in scores of 100 and 97 and a deep statistical discount. Meanwhile, investors who stress liquidity, cycle position, and moderate crowd sentiment—such as Walter Bagehot (score 80), Samuel Nelson (score 89), and Charles Mackay (score 63)—still see favorable but less decisive signals. Mid‑range scores from Philip Fisher, Peter Lynch, Howard Marks and others (45‑53) indicate mixed views, as their criteria weigh growth quality, market expectations, and risk more heavily than pure valuation. At the opposite end, Jesse Livermore (score 32) and Thorstein Veblen (score 21) flag the stock negatively, citing an adverse price trend and growth pursued for its own sake, which diverge sharply from the value‑oriented assessments.
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 100
Attractive to a Defensive Graham Investor
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟢 97
Deep statistical discount — a real Enterprising Investor candidate
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 89
Cycle position looks favorable — closer to oversold than overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟢 80
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 64
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 63
Reasonable but not a clear long-term holding
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 53
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 52
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 48
Somewhere in the middle of the cycle
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 47
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 46
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 45
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 45
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 43
Mixed case — the evidence for picking this stock over an index is not strong
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 31
Negative trend — against Livermore's core rule of trading with the trend
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 21
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Based on the last 286 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 8 bearish · 2 neutral)
A market-structure read based purely on real price and volume data — not full classic Wyckoff schematic identification (Phase A-E), but a quantitative analysis of what can reliably be computed: trading ranges, "effort vs. result", volume within the range, and Spring/Upthrust detection.
The stock is in a clear downtrend with no defined trading range in the period examined.
High confidence
The Wyckoff Method, developed by Richard Wyckoff in the early 20th century, reads the balance of supply and demand through price and volume, based on the premise that large investors ("smart money") quietly accumulate shares before rallies and quietly distribute them before declines. The read here is based solely on real price and volume data — full, precise identification of classic Wyckoff patterns (such as Phases A-E) requires human chart-reading experience and judgment, so this is an approximate algorithmic read, not a substitute for professional analysis. This should not be considered investment advice.
Gross Margin
-16.7%
Operating Margin
-121.6%
Net Margin
-118.8%
EBITDA Margin
-96.1%
ROE
-28.4%
ROA
-20.2%
ROIC
—
EPS
-$7.42
Cash
$278.10M
Total Debt
$15.85M
Current Ratio
6.63
Debt/Equity
0.02
אין נתונים היסטוריים זמינים.
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$25.72
Tangible Book Value per Share (Tangible NAV)
$25.57
Sentiment based on basic keywords (not AI) — 11 positive, 5 neutral, 4 negative out of the last 20 articles.
Yahoo · 14.9.2026
Yahoo · 14.9.2026
Yahoo · 11.9.2026
Yahoo · 11.9.2026
Benzinga · 11.9.2026
Yahoo · 10.9.2026
Yahoo · 9.9.2026
Yahoo · 9.9.2026
Yahoo · 9.9.2026
Motley Fool · 9.9.2026
Yahoo · 9.9.2026
Yahoo · 9.9.2026
Insider Monkey · 9.9.2026
Yahoo · 9.9.2026
Trefis · 9.9.2026
Yahoo · 8.9.2026
Zacks · 8.9.2026
Yahoo · 8.9.2026
24/7 Wall St. · 8.9.2026
Benzinga · 8.9.2026
FuelCell Energy, Inc. (FCEL) currently has a StockIQ AI score of 44/100, rated "Weak". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
FCEL currently scores 44/100 (Weak) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
FCEL's technical score is 26/100, which currently reads as bearish — based on real price/volume signals (moving averages, RSI, MACD, and more), not a prediction of what happens next.
Based on the real signals StockIQ computed: Revenue growth (last year): 41.0%; Debt/equity: 0.02; Current ratio: 6.63.
Based on the real signals StockIQ computed: Operating margin: -121.6% (negative); Net margin: -118.8% (negative); Operating margin is eroding over time.
StockIQ has no recorded dividend payment history for FCEL.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 2 purchases and 2 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Livingston III Homer John | Open Market Purchase | 16.7.2026 | 26,343 | +26,343 | $18.79 |
| Livingston III Homer John | Open Market Purchase | 16.7.2026 | 26,343 | +26,343 | $18.79 |
| England James Herbert | Grant/Award from Employer | 15.7.2026 | 1,451 | +1,451 | — |
| Hansen Cynthia L | Grant/Award from Employer | 15.7.2026 | 988 | +988 | — |
| Livingston III Homer John | Grant/Award from Employer | 15.7.2026 | 833 | +833 | — |
| England James Herbert | Grant/Award from Employer | 15.7.2026 | 87,947 | +1,451 | — |
| Hansen Cynthia L | Grant/Award from Employer | 15.7.2026 | 63,898 | +988 | — |
| Livingston III Homer John | Grant/Award from Employer | 15.7.2026 | 7,263 | +833 | — |
| Achanta Shankar | Open Market Sale | 6.7.2026 | 2,500 | -2,500 | $28.71 |
| Achanta Shankar | Open Market Sale | 6.7.2026 | 2,618 | -2,500 | $28.71 |
| Livingston III Homer John | Grant/Award from Employer | 11.6.2026 | 534 | +534 | — |
| Livingston III Homer John | Grant/Award from Employer | 11.6.2026 | 5,896 | +5,896 | — |
| Livingston III Homer John | Grant/Award from Employer | 11.6.2026 | 534 | +534 | — |
| Livingston III Homer John | Grant/Award from Employer | 11.6.2026 | 6,430 | +5,896 | — |
| Achanta Shankar | Tax Withholding in Shares | 8.5.2026 | 492 | -492 | $13.70 |
| Achanta Shankar | Exercise of Derivative Securities | 8.5.2026 | 2,020 | +2,020 | — |
| Achanta Shankar | Exercise of Derivative Securities | 8.5.2026 | 2,020 | -2,020 | — |
| Achanta Shankar | Exercise of Derivative Securities | 8.5.2026 | 5,610 | +2,020 | — |
| Achanta Shankar | Tax Withholding in Shares | 8.5.2026 | 5,118 | -492 | $13.70 |
| Achanta Shankar | Exercise of Derivative Securities | 8.5.2026 | 2,020 | -2,020 | — |
| von Althann Natica | Exercise of Derivative Securities | 21.4.2026 | 23,859 | +23,859 | — |
| Bingham Betsy B | Exercise of Derivative Securities | 21.4.2026 | 23,859 | +23,859 | — |
| von Althann Natica | Exercise of Derivative Securities | 21.4.2026 | 23,859 | -23,859 | — |
| Bingham Betsy B | Exercise of Derivative Securities | 21.4.2026 | 23,859 | -23,859 | — |
| von Althann Natica | Exercise of Derivative Securities | 21.4.2026 | 23,988 | +23,859 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
20,099,349 shares short as of 2026-08-31 · vs. 15,939,808 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
48.2% of trading volume this week was short selling, vs. 40.0% the prior week
Based on daily short-sale volume (Reg SHO) — a different metric from the open short interest above: this is daily trading volume, not an open position, so it updates weekly rather than biweekly.
Full breakdown of every data type and its source: Data Sources · Methodology