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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Finance · ·
$16.96
▲ $0.23 (+1.4%)
Market data updated: 09/19 01:05 PM
Fundamentals updated: 09/18/2026
News analyzed: 09/19/2026
Market Cap
$21.91B
Day Range
$16.66 - $17.06
52-Week Range
$14.88 - $32.73
Beta
—
Next Earnings
26.10.2026
Support
$14.88
Resistance
$19.74
-39.7% (1Y)
Strengths: 2/22 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
🔴 Bearish
Technical Trend
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Revenue growth (last year)
Revenue growth (last year): 23.1%
Growth
Biggest negative driver
Daily volatility (ATR)
ATR: 4.2% of price
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 2 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 2
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
No data available
Value
45
Momentum
16
Risk
34
Sentiment
92
Fundamental
48
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 SoFi Technologies has centered on its financial performance and market sentiment, highlighting a mix of strong growth and investor skepticism. The company reported a **40% revenue growth** and a **70 Rule of 40 score** at an investor conference, while analysts like Jim Cramer praised its long-term potential. However, despite raising revenue guidance, SoFi’s stock fell **10%** amid market doubts, with some calling for a rebound due to underlying catalysts. A strategic partnership with Payward to bridge banking and crypto markets also gained attention. Overall, the narrative reflects optimism about SoFi’s fundamentals alongside short-term volatility.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about SoFi Technologies, Inc.. News trend score: 92. Reason: 12 of the last 20 articles are positive, versus 5 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
17
🎯 Conviction (vs. Emotion)
38
Psychology
19
Fundamentals
48
Technical
16
Valuation
45
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.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
-5%
Market Narrative
60
Fundamental Reality
38
Narrative Gap
+22
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
SOFI’s market behavior suggests **herding** as traders align with peer declines (-2.0% vs. -1.2%), despite neutral momentum and sentiment. The narrative gap (17 points) implies traders may overestimate fundamentals relative to observable data. Low FOMO (score: 8) and minimal volatility (0.96x ATR) indicate cautious participation rather than aggressive chasing. The key question: *Will traders exit en masse if peers stabilize, or will SOFI’s slight outperformance (+5.0% vs. 200-day avg) sustain modest confidence?*
Updated: 09/09/2026, 09:12 AM
What could change this?
👥 What the crowd believes
""SoFi Technologies Highlights 40% Growth, 70 Rule of 40 Score at Investor Conference""
""Despite a solid quarter, the market seems skeptical about the fintech's future""
""SoFi Technologies stock has delivered a strong 116.0% return... yet the current market price screens as expensive""
""SoFi, Payward Team up to Connect Banking and Crypto Markets — Stock Trending""
📈 12D Investor Psychology
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
Philip Fisher — 96/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
SOFI’s starkly divided verdicts reflect a deep chasm between methodologies that prioritize qualitative growth and those anchored in valuation or risk discipline. Philip Fisher’s near-perfect score highlights his focus on exceptional company fundamentals and long-term competitive advantages, while the low scores from Graham, Veblen, and Housel underscore their skepticism toward SOFI’s valuation, volatility, or speculative growth trajectory. Meanwhile, the middle-ground scores from Nelson, Smith, and Marks suggest a cautious assessment—acknowledging strengths but flagging either overvaluation or cyclical risks. Livermore’s negative trend signal and Schwager’s outright rejection contrast sharply with Mackay’s neutral stance, illustrating how momentum-driven and trend-following approaches clash with more static or fundamental frameworks. The divergence ultimately hinges on whether one trusts SOFI’s business model (Fisher, Marks) or views it as either overpriced (Graham), risky (Loeb), or structurally flawed (Veblen).
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 96
Exceptional company quality by Fisher's standards
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 88
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)
🟢 76
No obvious signs of crowd mania
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)
🟡 58
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 57
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
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%
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 46
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
Peter Lynch
One Up on Wall Street (1989)
🔴 35
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 40%
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🔴 33
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 32
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 24
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 22
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 16
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)
🔴 8
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
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 0
Not statistically cheap enough for the Enterprising Investor's looser safety bar
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
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 280 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 9 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
1.7%
Operating Margin
—
Net Margin
77.7%
EBITDA Margin
—
ROE
4.6%
ROA
1.0%
ROIC
—
EPS
$0.42
Cash
$4.93B
Total Debt
—
Current Ratio
—
Debt/Equity
—
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
$8.38
Tangible Book Value per Share (Tangible NAV)
$7.08
Sentiment based on basic keywords (not AI) — 12 positive, 3 neutral, 5 negative out of the last 20 articles.
SeekingAlpha · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
SeekingAlpha · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
Yahoo · 14.9.2026
SoFi Technologies, Inc. (SOFI) currently has a StockIQ AI score of 44/100, rated "Weak" (a partial score — based on only 6 of 7 categories, some data is currently unavailable). The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
SOFI currently scores 44/100 (Weak) across the categories we measure (a partial score — based on only 6 of 7 categories, some data is currently unavailable). StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
SOFI's technical score is 16/100, 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): 23.1%; Net margin: 77.7% — strong.
Based on the real signals StockIQ computed: ATR: 4.2% of price; Calmar: 0.48 (3y annualized return 25.3% / max drawdown 53.0%); Net income growth: -3.5%.
StockIQ has no recorded dividend payment history for SOFI.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 4 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Keough Kelli | Open Market Sale | 20.8.2026 | 356,442 | -11,286 | $18.00 |
| Keough Kelli | Open Market Sale | 20.8.2026 | 11,286 | -11,286 | $18.00 |
| Pinto Arun | Tax Withholding in Shares | 18.8.2026 | 25,118 | -25,118 | $18.00 |
| Schuppenhauer Eric | Tax Withholding in Shares | 18.8.2026 | 23,720 | -23,720 | $18.00 |
| Pinto Arun | Exercise of Derivative Securities | 17.8.2026 | 45,389 | -45,389 | — |
| Pinto Arun | Exercise of Derivative Securities | 17.8.2026 | 45,389 | +45,389 | — |
| Schuppenhauer Eric | Exercise of Derivative Securities | 17.8.2026 | 55,731 | -55,731 | — |
| Schuppenhauer Eric | Exercise of Derivative Securities | 17.8.2026 | 55,731 | +55,731 | — |
| Keough Kelli | Open Market Sale | 20.7.2026 | 10,954 | -10,954 | $17.19 |
| Keough Kelli | Open Market Sale | 20.7.2026 | 367,728 | -10,954 | $17.19 |
| Meltzer Gary | Grant/Award from Employer | 17.7.2026 | 13,993 | +13,993 | — |
| Freiberg Steven J | Grant/Award from Employer | 17.7.2026 | 13,993 | +13,993 | — |
| Freiberg Steven J | Grant/Award from Employer | 17.7.2026 | 13,993 | +13,993 | — |
| Meltzer Gary | Grant/Award from Employer | 17.7.2026 | 13,993 | +13,993 | — |
| YESIL MAGDALENA | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| Meltzer Gary | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| Hele John C.R. | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| Green Dana R. | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| Freiberg Steven J | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| Liang Clara | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| Borden William A. | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| Ruzwana Bashir | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| HUTTON GEORGE THOMPSON | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| Freiberg Steven J | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
| HUTTON GEORGE THOMPSON | Grant/Award from Employer | 14.7.2026 | 13,993 | +13,993 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
177,480,044 shares short as of 2026-08-31 · vs. 190,758,849 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
39.8% of trading volume this week was short selling, vs. 37.1% 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