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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Information Technology · ·
$237.92
▼ $4.93 (-2.0%)
Market data updated: 09/20 04:18 PM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
$195.81B
Day Range
$236.55 - $244.25
52-Week Range
$146.32 - $269.11
Beta
—
Next Earnings
01.12.2026
Support
$155.15
Resistance
$268.27
CRM is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-2.6% (1Y)
Strengths: 17/31 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
🟡 Mixed
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
DCF Fair Value
Estimated fair value: $272.53 vs. price $237.92 (+14.5%)
Fair Value
Biggest negative driver
Daily volatility (ATR)
ATR: 4.1% of price
Risk
What to watch next
When today echoes the past.
72/100
Similarity
15
Historical Matches
87/100
Analog Quality
+6.8%
Median 40D Outcome
56/100
Pattern Consistency
🟢 Bullish
73%
+5.0% … +14.1%
🟡 Base
0%
— … —
🔴 Bearish
27%
-9.5% … -3.2%
Typical timeframe (based on real historical rates clearing a 60% bar): 10 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 73% (95% CI 48%–89%) saw the stock rise within 20 trading days, with a median gain of +5.4%.
Echo #1 — Trend Acceleration
6 occurrence(s) · 67% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 53% (30%–75%) | +3.1% | -0.0% … +4.7% | +0.6% |
| 10D | 67% (42%–85%) | +2.7% | -1.1% … +7.4% | +0.9% |
| 20D | 73% (48%–89%) | +5.4% | +0.0% … +13.0% | +2.0% |
| 40D | 73% (48%–89%) | +6.8% | -1.6% … +17.5% | +2.9% |
| 60D | 60% (36%–80%) | +12.3% | -12.2% … +21.0% | +3.2% |
Sample size: 15 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2020-09-17 | 72/100 | ✓ High Volatility | +5.4% | -9.0% |
| 2024-12-19 | 65/100 | Uptrend | -1.1% | -17.0% |
| 2018-12-19 | 63/100 | Downtrend | +16.3% | +25.0% |
| 2020-10-21 | 63/100 | Uptrend | +1.2% | -14.7% |
| 2019-01-29 | 62/100 | Uptrend | +12.4% | +12.3% |
| 2024-11-29 | 62/100 | Uptrend | +1.7% | -9.7% |
| 2023-03-23 | 61/100 | Uptrend | +6.2% | +15.8% |
| 2020-05-21 | 61/100 | Uptrend | +6.7% | +12.3% |
| 2020-06-05 | 61/100 | Uptrend | +13.7% | +56.8% |
| 2023-09-20 | 60/100 | Consolidation | -3.8% | +20.7% |
| 2025-02-07 | 60/100 | Consolidation | -16.2% | -16.1% |
| 2020-07-13 | 60/100 | Uptrend | +4.7% | +32.8% |
| 2024-03-15 | 60/100 | Uptrend | -7.3% | -18.1% |
| 2024-10-23 | 59/100 | Uptrend | +14.5% | +16.9% |
| 2024-01-05 | 59/100 | Uptrend | +14.7% | +21.4% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity. Relative strength is measured against SPY and against XLK (this stock's sector).
Cross-stock analogs — real other companies, not this stock's own history.
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
as of 09/10/202667
This Week
75
7D Ago
↓ -8
Weakening
Technical
59
7D Ago: 89
↓ -30
Fundamental
72
7D Ago: 72
→ 0
Growth
73
7D Ago: 73
→ 0
Valuation
62
7D Ago: 62
→ 0
News
100
7D Ago: 100
→ 0
Quality
63
7D Ago: 63
→ 0
Risk
32
7D Ago: 32
→ 0
Biggest Declines
📊 Score History
67
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
2d ago · $245.11
Evidence: Narrative Gap moved from 36 to 8 day-over-day
What happened after
Still awaiting outcome
5d ago · $259.43
Evidence: Euphoria score crossed 55 (now 62)
What happened after
Still awaiting outcome
🐂🐻 Investment Thesis
🐂 Bull Case
⚖️ Base Case
67 / 100
🐻 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.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of August 23, 2026
Then
75
$209.17
Now
67
$237.92
What happened since
Signals detected by this date
No signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
73
Quality
63
Value
62
Momentum
59
Risk
32
Sentiment
100
Fundamental
72
Institutional
0
Stocks with a similar DNA right now
SCANNING CRM...
Recent media coverage of Salesforce has centered on its strong stock performance, with headlines highlighting a **40% surge in the past month** and a **34% gain over a shorter period**, prompting investor discussions about whether to hold or profit-take. Analysts examined its latest earnings beat, though broader industry trends—such as AI’s impact on software—were also noted, with mixed expectations on disruption speed. Additionally, an insider sold shares worth over **$1.17 million**, raising speculation about internal sentiment.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Salesforce. News trend score: 100. Reason: 15 of the last 20 articles are positive, versus 2 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
23
🎯 Conviction (vs. Emotion)
42
Psychology
49
Fundamentals
72
Technical
59
Valuation
62
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+57%
Market Narrative
46
Fundamental Reality
42
Narrative Gap
+4
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
CRM’s market behavior suggests a dominant euphoric bias, where extreme momentum and overvaluation align with investor enthusiasm despite modest DCF support. The narrative-reality gap (30) hints at detached optimism, while overconfidence in price momentum over fundamentals may blind participants to valuation risks. Herding signals a relative underperformance today, but FOMO remains entrenched due to technical extremes. The key question: will anchoring to resistance (3.5% below) curb euphoria, or will momentum sustain the rally?
Updated: 09/09/2026, 04:48 AM
What could change this?
👥 What the crowd believes
"Salesforce Stock Gains 34% in a Month: Time to Hold or Book Profits? (24/7 Wall St.)"
"AI Is Disrupting Software Companies—but Not as Fast as Many Feared (The Wall Street Journal)"
"Salesforce and Super Micro Jump (GuruFocus.com)"
"Salesforce Insider Sold Shares Worth $1,172,746 (MT Newswires)"
🧠 Market Brain events driving this
📈 16D 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
Edgar Lawrence Smith — 81/100
🔴 Weakest match
Benjamin Graham (Enterprising Investor) — 0/100
🗣️ Why do they disagree?
The stark divide in verdicts for CRM reflects deep methodological differences in how these investors evaluate stocks. Jesse Livermore and Edgar Lawrence Smith’s high scores (84 and 81) suggest they see strong momentum and long-term potential, aligning with their focus on trend-following and decade-long holds. In contrast, Benjamin Graham’s near-zero score (0) and Samuel Armstrong Nelson’s low reading (4) indicate a defensive stance, dismissing the stock as overvalued or cyclically stretched—Graham’s strict valuation thresholds and Nelson’s technical caution clash sharply with the growth-oriented optimism of others. Meanwhile, mid-tier scores from Peter Lynch (60) and Philip Fisher (59) hint at cautious approval, acknowledging growth but not exceptional quality, while the efficient-market camp (41) questions whether active selection adds value over passive indexing. The spectrum from Livermore’s bullish trend-spotting to Graham’s bearish valuation underscores how CRM’s perceived risk-reward balance varies wildly depending on whether the lens prioritizes momentum, fundamentals, or market efficiency.
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 81
Looks like a real 'buy and hold for a decade' candidate
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 73
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 64
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 61
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 61
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 60
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 59
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 53
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
Walter Bagehot
Lombard Street (1873)
🟡 48
Adequate but not exceptional liquidity
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 47
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)
🟡 47
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 47
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
Jack Schwager
Market Wizards (1989)
🟡 44
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 35
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)
🔴 29
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
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?
Fact → Principle → Simulation
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (5 bullish · 4 bearish · 1 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 uptrend 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.
Gross Margin
77.7%
Operating Margin
20.1%
Net Margin
18.0%
EBITDA Margin
23.0%
ROE
12.6%
ROA
6.6%
ROIC
—
EPS
$7.85
Cash
$7.33B
Total Debt
$14.44B
Current Ratio
0.76
Debt/Equity
0.24
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 11.6.2026 | $0.440 |
| 10.6.2026 | $0.440 |
| 9.4.2026 | $0.440 |
| 8.4.2026 | $0.440 |
| 18.12.2025 | $0.416 |
| 17.12.2025 | $0.416 |
| 17.9.2025 | $0.416 |
| 16.9.2025 | $0.416 |
| 18.6.2025 | $0.416 |
| 17.6.2025 | $0.416 |
| 10.4.2025 | $0.416 |
| 9.4.2025 | $0.416 |
How is Fair Value calculated? →
Current Price
$237.92
Estimated Fair Value (DCF)
$272.53
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
+14.5%
🟢 Appears cheap relative to estimated value
Year 1 Growth Rate
9.8%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 9.8% | $15.82B | $14.51B |
| 2 | 8.0% | $17.08B | $14.38B |
| 3 | 6.2% | $18.13B | $14.00B |
| 4 | 4.3% | $18.92B | $13.40B |
| 5 | 2.5% | $19.39B | $12.60B |
Base FCF (last actual year)
$14.40B
Terminal Value
$305.80B
Present Value of Terminal Value
$198.75B
Enterprise Value
$267.65B
Net Debt
$7.11B
Equity Value
$260.54B
*The DCF model is an estimate based on assumptions — not a guaranteed forecast. You can change the assumptions to examine different scenarios.
Book Value per Share
$61.86
Tangible Book Value per Share (Tangible NAV)
-$5.87
Sentiment based on basic keywords (not AI) — 15 positive, 3 neutral, 2 negative out of the last 20 articles.
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Salesforce (CRM) currently has a StockIQ AI score of 67/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
CRM currently scores 67/100 (Moderate) 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.
Per StockIQ's DCF model, CRM's estimated fair value is $272.53, which is 14.5% above the current price of $237.92. This is one valuation model among several signals in the fair-value category, not a price target.
CRM's technical score is 59/100, which currently reads as neutral — 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: Estimated fair value: $272.53 vs. price $237.92 (+14.5%); Earnings per share (EPS) growth: 22.6%; Net income growth: 20.3%.
Based on the real signals StockIQ computed: ATR: 4.1% of price; Current ratio: 0.76; Calmar: 0.06 (3y annualized return 3.3% / max drawdown 59.2%).
Yes — CRM has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 2 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Conway Craig | Open Market Sale | 4.9.2026 | 1,418 | -1,418 | $260.50 |
| Conway Craig | Open Market Sale | 4.9.2026 | 3,082 | -3,082 | $260.66 |
| Harris Parker | Gift | 28.8.2026 | 914,987 | -16,000 | — |
| Harris Parker | Gift | 28.8.2026 | 16,000 | -16,000 | — |
| Conway Craig | Exercise of Derivative Securities | 22.8.2026 | 441 | -441 | — |
| Kirk David Blair | Exercise of Derivative Securities | 22.8.2026 | 441 | +441 | — |
| ALBER LAURA | Exercise of Derivative Securities | 22.8.2026 | 441 | -441 | — |
| Kirk David Blair | Exercise of Derivative Securities | 22.8.2026 | 441 | -441 | — |
| DONALD ARNOLD W | Exercise of Derivative Securities | 22.8.2026 | 441 | -441 | — |
| KROES NEELIE | Exercise of Derivative Securities | 22.8.2026 | 441 | -441 | — |
| Roos John Victor | Exercise of Derivative Securities | 22.8.2026 | 441 | +441 | — |
| Conway Craig | Exercise of Derivative Securities | 22.8.2026 | 441 | +441 | — |
| Niles Sabastian | Tax Withholding in Shares | 22.8.2026 | 920 | -920 | $209.17 |
| KROES NEELIE | Exercise of Derivative Securities | 22.8.2026 | 441 | +441 | — |
| Chang Amy | Exercise of Derivative Securities | 22.8.2026 | 441 | +441 | — |
| MUNOZ OSCAR | Exercise of Derivative Securities | 22.8.2026 | 441 | -441 | — |
| ALBER LAURA | Exercise of Derivative Securities | 22.8.2026 | 441 | +441 | — |
| KROES NEELIE | Tax Withholding in Shares | 22.8.2026 | 67 | -67 | $209.17 |
| Niles Sabastian | Exercise of Derivative Securities | 22.8.2026 | 1,662 | -1,662 | — |
| MUNOZ OSCAR | Exercise of Derivative Securities | 22.8.2026 | 441 | +441 | — |
| Milano Miguel | Grant/Award from Employer | 22.8.2026 | 14,121 | +14,121 | — |
| Roos John Victor | Exercise of Derivative Securities | 22.8.2026 | 441 | -441 | — |
| SACHIN J. MEHRA | Exercise of Derivative Securities | 22.8.2026 | 441 | -441 | — |
| DONALD ARNOLD W | Exercise of Derivative Securities | 22.8.2026 | 441 | +441 | — |
| Milano Miguel | Exercise of Derivative Securities | 22.8.2026 | 1,662 | -1,662 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
29,211,825 shares short as of 2026-08-31 · vs. 29,406,370 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
62.2% of trading volume this week was short selling, vs. 60.4% 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