Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$7.02
▲ $0.07 (+1.0%)
Market data updated: 09/23 06:45 AM
News analyzed: 09/23/2026
Market Cap
$1.74B
Day Range
$6.79 - $7.13
52-Week Range
$5.69 - $14.72
Beta
—
Next Earnings
—
Support
$5.69
Resistance
$7.59
JMIA is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-40.0% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 3/12 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
🟡 Mixed
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Price vs. SMA 50
Price is above the 50-day average
Technical
Biggest negative driver
Daily volatility (ATR)
ATR: 4.5% 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
as of 09/16/202648
This Week
69
7D Ago
↓ -21
Weakening
Technical
45
7D Ago: 78
↓ -33
News
62
7D Ago: 62
→ 0
Risk
34
7D Ago: 34
→ 0
Biggest Declines
📊 Score History
48
Today
—
30D
—
90D
—
1Y
🐂🐻 Investment Thesis
🐂 Bull Case
⚖️ Base Case
48 / 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 September 16, 2026
Then
69
$7.31
Now
48
$7.02
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
No data available
Quality
No data available
Value
No data available
Momentum
45
Risk
34
Sentiment
62
Fundamental
No data available
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 Jumia Technologies AG (JMIA) has centered on its profitability efforts and market volatility. The company secured a $50 million funding deal with the IFC to stabilize its financial path, while analysts—including RBC Capital and Cantor Fitzgerald—lowered price targets (from $15–$16 to $11–$13) but maintained positive outlooks due to its resilience in Q2 2026, where it delivered better-than-expected results despite challenges. The stock was also noted among broader market declines in pre-market trading.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Jumia Technologies AG American Depositary Shares each representing two. News trend score: 62. Reason: 6 of the last 19 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
4
🎯 Conviction (vs. Emotion)
50
Psychology
55
Fundamentals
—
Technical
45
Valuation
—
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+10%
Market Narrative
46
Fundamental Reality
50
Narrative Gap
-4
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for JMIA suggests a FOMO-driven momentum trade, reinforced by positive sentiment and overbought RSI, but not yet euphoric. The anchoring effect near resistance (3.7%) hints traders may be waiting for confirmation before scaling in. The narrative-reality gap (10) implies optimism exceeds tangible momentum, a classic FOMO setup. The key question: Will traders break resistance, or will anchoring halt further gains?
Updated: 09/09/2026, 03:25 AM
What could change this?
👥 What the crowd believes
"RBC Capital maintains Outperform on Jumia Technologies, lowers price target to $13"
"$50 million IFC-led funding, supports buy case, and outlines 2026–27 profitability path"
"JMIA delivers a good Q2 performance against low expectations. Analyst cuts price target but remains positive on resilience"
"Jumia Technologies’ Model Shows Resilience, on Track for Breakeven EBITDA by Year-End"
📈 5D 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
Charles Mackay — 91/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The stark divide in verdicts for JMIA reflects deep methodological differences between risk-averse and momentum-driven investors. Jesse Livermore and Charles Mackay’s high scores (72 and 67) suggest they’d see bullish price action or crowd-driven momentum, while the opposite end—Morgan Housel’s 0 and Nelson’s 11—warns of overbought cycles or volatility that would trigger exits. Meanwhile, the middle ground—where Graham, Fisher, or Lynch score 50 due to insufficient data—highlights how this stock lacks the concrete fundamentals or valuation clarity needed for their disciplined, long-term approaches. Marks’ mixed verdicts (53 and 42) further split between business quality and market timing, while Loeb’s 21 and Housel’s 0 flag extreme risk profiles that would deter contrarian or patient investors entirely.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 91
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 74
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 66
Looks early-to-mid cycle, not overextended
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)
🟡 63
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
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%
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 50
Mixed signal on whether growth translates to real profit
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
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%
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 30
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
Jack Schwager
Market Wizards (1989)
🔴 28
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 21
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)
🔴 18
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
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 283 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (3 bullish · 5 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 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.
Sentiment based on basic keywords (not AI) — 6 positive, 9 neutral, 4 negative out of the last 19 articles.
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StockIQ doesn't currently have enough real data to compute a reliable score for Jumia Technologies AG American Depositary Shares each representing two (JMIA) — 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 JMIA 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.
JMIA's technical score is 45/100, 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: Price is above the 50-day average; RSI 50.5 — healthy positive momentum; +0.2% over the last 3 months relative to the index.
Based on the real signals StockIQ computed: ATR: 4.5% of price; Calmar: 0.48 (3y annualized return 42.1% / max drawdown 88.1%); Price is below the 200-day average.
StockIQ has no recorded dividend payment history for JMIA.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 2 purchases and 2 sales out of the last 4 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Hiridjee Hassanein Shahreza | Open Market Purchase | 12.8.2026 | 905,797 | +905,797 | — |
| Hiridjee Hassanein Shahreza | Open Market Purchase | 12.8.2026 | 13,119,635 | +905,797 | — |
| Maillet-Mezeray Antoine | Open Market Sale | 18.5.2026 | 20,000 | -20,000 | $7.09 |
| Maillet-Mezeray Antoine | Open Market Sale | 18.5.2026 | 279,992 | -20,000 | $7.09 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
5,745,951 shares short as of 2026-08-31 · vs. 7,838,279 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
51.9% of trading volume this week was short selling, vs. 62.4% 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