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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Staples · ·
$16.56
▲ $0.04 (+0.2%)
Market data updated: 09/20 05:38 AM
News analyzed: 09/20/2026
Market Cap
$695.37M
Day Range
$16.28 - $16.88
52-Week Range
$14.00 - $27.00
Beta
—
Next Earnings
09.11.2026
Support
$14.80
Resistance
$19.25
OFRM is a stock from the Consumer Defensive sector — Food, beverages, and household products — steady demand even in a recession, since these are essential consumer goods.
-21.3% (1Y)
🟡 Moderate
Strengths: 1/11 factors positiveRisk: High
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
🟡 Mixed
Technical Trend
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
CMF (money flow)
CMF 20 days: 0.05
Technical
Biggest negative driver
Daily volatility (ATR)
ATR: 5.1% of price
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 0 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 0
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
47
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
No data available
Quality
No data available
Value
No data available
Momentum
27
Risk
42
Sentiment
100
Fundamental
No data available
Institutional
0
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 **Once Upon a Farm, PBC** has centered on its strong public market debut and financial performance. The company, led by co-founder and CEO John Foraker, went public in August 2026 at a $724 million valuation, with Jennifer Garner’s involvement drawing attention. Q2 2026 earnings reports highlighted a **42.3% sales growth**, surpassing analyst estimates, prompting analysts like JP Morgan and Barclays to raise price targets to **$26 and $19**, respectively. The company also raised full-year guidance, boosting investor confidence.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Once Upon a Farm, PBC. News trend score: 100. Reason: 9 of the last 20 articles are positive, versus 0 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
25
🎯 Conviction (vs. Emotion)
50
Psychology
27
Fundamentals
—
Technical
27
Valuation
—
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
-15%
Market Narrative
59
Fundamental Reality
50
Narrative Gap
+9
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests traders are exhibiting **herding** as OFRM’s underperformance relative to peers (-1.5% vs. -0.9%) aligns with broader sector weakness, despite positive momentum and sentiment. Mild FOMO and euphoria coexist due to strong news sentiment and momentum, but the dominant narrative gap (18-point divergence) hints at a disconnect between traders’ optimism and technical signals. The key open question is whether this herding reflects a tactical sector rotation or a deeper narrative misalignment, given the narrative gap. Low panic and anchoring scores imply no extreme defensive behavior or resistance fixation, but the peer underperformance may signal a broader risk-off shift.
Updated: 09/08/2026, 10:19 PM
What could change this?
👥 What the crowd believes
"JP Morgan analyst Thomas Palmer raises price target from $22 to $26"
"Once Upon a Farm Q2 beats estimates with 42.3% sales growth"
"comparing key metrics with Wall Street estimates and year-ago numbers"
"Once Upon a Farm raises full-year guidance"
📈 11D Investor Psychology
Signal classification confidence: Medium (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
Samuel Armstrong Nelson — 70/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The stark divide in verdicts for OFRM reflects deep methodological differences in how these investors approach stock selection. Charles Mackay’s near-passive crowd-behavior signal (64) contrasts sharply with Morgan Housel’s outright rejection (0), as the latter’s volatility aversion clashes with Mackay’s speculative momentum bias. Meanwhile, the cluster of mid-range scores (50–55) from Graham, Fisher, and the efficient-market camp highlights a lack of decisive fundamentals—no methodology has enough data to confidently apply its core principles. On the cautious end, Loeb (26) and Schwager (22) flag structural risks or trading setups, while Marks’ late-cycle warning (39) and Livermore’s trend opposition (43) suggest macroeconomic or cyclical headwinds. Even Veblen’s (20) critique of unchecked growth ambition underscores a broader skepticism toward speculative narratives, leaving only Mackay’s model as an outlier willing to entertain the stock’s speculative appeal.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 70
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 63
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 50
Not enough balance-sheet/valuation data for a real Graham read
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 50
Not enough fundamentals data for a real Fisher read
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Peter Lynch
One Up on Wall Street (1989)
🟡 50
Not enough growth data for a real Lynch read
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Walter Bagehot
Lombard Street (1873)
🟡 50
Not enough balance-sheet data for a real Bagehot read
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 50
Not enough valuation data for a real Enterprising-Graham read
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 46
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
Jack Schwager
Market Wizards (1989)
🟡 39
No real setup here — the discipline Schwager's wizards shared would say stay out
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🔴 28
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 26
Risk profile Loeb would flag as a real threat to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 22
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)
🔴 20
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 15
Not enough dividend/growth data for a real Smith read
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
⚠️ Partial data for this stock — score is less reliable — Data availability: 25%
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 0
The kind of volatility that tends to shake patient holders out
Key question
Could I live with this volatility long enough for compounding to actually work?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Based on the last 155 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 7 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.
Low 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.
Sentiment based on basic keywords (not AI) — 9 positive, 11 neutral, 0 negative out of the last 20 articles.
SeekingAlpha · 14.9.2026
SeekingAlpha · 10.9.2026
Business Wire · 3.9.2026
Moneywise · 20.8.2026
Motley Fool · 14.8.2026
Benzinga · 10.8.2026
MarketBeat · 8.8.2026
SeekingAlpha · 8.8.2026
Benzinga · 7.8.2026
Zacks · 6.8.2026
Yahoo · 6.8.2026
ChartMill · 6.8.2026
Associated Press · 6.8.2026
Exec Edge · 6.8.2026
Yahoo · 6.8.2026
Business Wire · 6.8.2026
Yahoo · 6.8.2026
Benzinga · 6.8.2026
GuruFocus.com · 5.8.2026
GlobeNewswire · 27.7.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Once Upon a Farm, PBC (OFRM) — only 3 of 7 categories are available right now. Rather than show a misleading number, this page shows which data is missing instead.
StockIQ doesn't give buy/sell recommendations — and for OFRM specifically, there currently isn't enough real data (only 3 of 7 categories available) to state even a factual score reliably. Check back once more data is available.
OFRM's technical score is 27/100, 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: CMF 20 days: 0.05.
Based on the real signals StockIQ computed: ATR: 5.1% of price; Price is below the 50-day average; MACD histogram is negative — falling momentum.
StockIQ has no recorded dividend payment history for OFRM.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 6 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Folena Chris | Open Market Sale | 10.8.2026 | 724 | -724 | $18.01 |
| Waldman Lawrence Steven | Open Market Sale | 10.8.2026 | 1,206 | -1,206 | $18.01 |
| Curtis Cassandra Nicole | Open Market Sale | 10.8.2026 | 75 | -75 | $18.01 |
| Waldman Lawrence Steven | Open Market Sale | 10.8.2026 | 101,676 | -1,206 | $18.01 |
| Folena Chris | Open Market Sale | 10.8.2026 | 12,724 | -724 | $18.01 |
| Curtis Cassandra Nicole | Open Market Sale | 10.8.2026 | 432,908 | -75 | $18.01 |
| PEIROS LARRY | Other Transaction | 5.8.2026 | 63,393 | +63,393 | — |
| PEIROS LARRY | Other Transaction | 5.8.2026 | 81,514 | -81,514 | — |
| PEIROS LARRY | Other Transaction | 5.8.2026 | 63,393 | -63,393 | — |
| PEIROS LARRY | Other Transaction | 5.8.2026 | 81,514 | +81,514 | — |
| PEIROS LARRY | Other Transaction | 5.8.2026 | 6,112 | -63,393 | — |
| PEIROS LARRY | Other Transaction | 5.8.2026 | 63,393 | +63,393 | — |
| PEIROS LARRY | Other Transaction | 5.8.2026 | 0 | -81,514 | — |
| PEIROS LARRY | Other Transaction | 5.8.2026 | 81,514 | +81,514 | — |
| Waldman Lawrence Steven | Grant/Award from Employer | 5.5.2026 | 68,027 | +68,027 | — |
| Waldman Lawrence Steven | Grant/Award from Employer | 5.5.2026 | 102,882 | +68,027 | — |
| Folena Chris | Grant/Award from Employer | 12.3.2026 | 7,371 | +7,371 | — |
| Waldman Lawrence Steven | Grant/Award from Employer | 12.3.2026 | 12,285 | +12,285 | — |
| Curtis Cassandra Nicole | Grant/Award from Employer | 12.3.2026 | 7,371 | +7,371 | — |
| Waldman Lawrence Steven | Grant/Award from Employer | 12.3.2026 | 34,855 | +12,285 | — |
| Curtis Cassandra Nicole | Grant/Award from Employer | 12.3.2026 | 432,983 | +7,371 | — |
| Folena Chris | Grant/Award from Employer | 12.3.2026 | 13,448 | +7,371 | — |
| Foraker John M. | Disposition to the Company | 9.2.2026 | 24,179 | -24,179 | — |
| Foraker John M. | Disposition to the Company | 9.2.2026 | 103,037 | -103,037 | — |
| Foraker John M. | Disposition to the Company | 9.2.2026 | 57,372 | -57,372 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
5,094,088 shares short as of 2026-08-31 · vs. 5,721,999 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
69.4% of trading volume this week was short selling, vs. 78.6% 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