Head-to-Head Comparison
CNBC TechnologyvsEconomic Times
CNBC Technology (66.7% accuracy) vs Economic Times (27.9% accuracy) — detailed head-to-head comparison of market forecast reliability.
CNBC Technology is more accurate overall
Based on 3 and 226 evaluated forecasts respectively
Accuracy
66.7%vs27.9%
Evaluated Forecasts
3vs226
Articles Analyzed
0vs0
Avg. Relevance
-vs-
Sentiment & Bias Analysis
How bullish or bearish each source's forecasts tend to be.
Sentiment Distribution
CNBC Technology
Avg. Sentiment: 0.33
Bullish 67%Neutral 0%Bearish 33%
Economic Times
Avg. Sentiment: 0.13
Bullish 45%Neutral 21%Bearish 34%
Accuracy in Shared Markets
Side-by-side accuracy comparison for markets both CNBC Technology and Economic Times cover.
Accuracy by Market Context
Accuracy Over Time
90-day rolling accuracy trend for both sources overlaid on the same chart.
90-Day Accuracy Trend
Market Context Coverage
| Accuracy by Market | CNBC Technology | Economic Times |
|---|---|---|
| Accenture | — | 2 (0%) |
| Asian equities | — | 1 (0%) |
| Bitcoin | — | 14 (3%) |
| D-Street and Indian economy | — | 2 (0%) |
| Gold | — | 1 (0%) |
| India Inc | — | 1 (0%) |
| India bonds | — | 1 (0%) |
| India equities | — | 1 (0%) |
| India financial services and capex sectors | — | 1 (0%) |
| India market | — | 2 (0%) |
| India's banking and power sectors | — | 1 (0%) |
| India's crude-sensitive stocks | — | 1 (0%) |
| India's economy | — | 2 (0%) |
| India's equity markets | — | 1 (0%) |
| India's stock market | — | 1 (0%) |
| Indian defence stocks | — | 1 (0%) |
| Indian defense stocks | — | 1 (0%) |
| Indian equities | — | 4 (1%) |
| Indian equity markets | — | 1 (0%) |
| Indian markets | — | 5 (1%) |
| Indian oil marketing companies | — | 1 (0%) |
| Indian oil stocks | — | 1 (0%) |
| Indian private banking stocks | — | 1 (0%) |
| Indian stock markets | — | 3 (1%) |
| Japanese government bonds | — | 1 (0%) |
| Nifty | — | 2 (0%) |
| Nifty 50 | — | 1 (0%) |
| Pharma stocks | — | 1 (0%) |
| USA | — | 82 (17%) |
| airline stocks | — | 1 (0%) |
| cryptocurrencies (Crypto) | — | 1 (0%) |
| emerging markets | — | 1 (0%) |
| financial stocks | — | 1 (0%) |
| fixed income investments | — | 1 (0%) |
| global markets | — | 83 (18%) |
| gold and silver | — | 2 (0%) |
| gold market | — | 1 (0%) |
| other | — | 27 (6%) |
| other (Acetech E-Commerce IPO) | — | 1 (0%) |
| other (Apsis Aerocom IPO listing) | — | 1 (0%) |
| other (Astral shares) | — | 1 (0%) |
| other (BSE 500 stocks) | — | 1 (0%) |
| other (Brent crude oil market) | — | 1 (0%) |
| other (Brent crude oil) | — | 1 (0%) |
| other (Coal India shares) | — | 1 (0%) |
| other (Coal India stock) | — | 1 (0%) |
| other (Coal India) | — | 1 (0%) |
| other (Crude oil) | — | 1 (0%) |
| other (Dalal Street) | — | 1 (0%) |
| other (Defence stocks) | — | 1 (0%) |
| other (Eureka Forbes) | — | 1 (0%) |
| other (Glenmark Pharma) | — | 1 (0%) |
| other (Godrej Properties) | — | 1 (0%) |
| other (Gold market) | — | 1 (0%) |
| other (HDFC Bank in Indian market) | — | 1 (0%) |
| other (HDFC Bank shares) | — | 1 (0%) |
| other (HDFC Bank) | — | 5 (1%) |
| other (Happiest Minds Technologies) | — | 1 (0%) |
| other (India's GLP-1 pharmaceutical market) | — | 1 (0%) |
| other (India's banking sector) | — | 1 (0%) |
| other (India's market) | — | 1 (0%) |
| other (India's paint sector) | — | 1 (0%) |
| other (India's private credit market) | — | 1 (0%) |
| other (India's stock market) | — | 1 (0%) |
| other (Indian Hotels Company Ltd) | — | 1 (0%) |
| other (Indian Rupee) | — | 5 (1%) |
| other (Indian alcohol beverage market) | — | 1 (0%) |
| other (Indian benchmark indices) | — | 7 (2%) |
| other (Indian equities) | — | 10 (2%) |
| other (Indian equities, bank & IT stocks) | — | 1 (0%) |
| other (Indian equity markets) | — | 12 (3%) |
| other (Indian financial markets) | — | 1 (0%) |
| other (Indian government bond market) | — | 1 (0%) |
| other (Indian government bonds) | — | 3 (1%) |
| other (Indian large-cap stocks) | — | 1 (0%) |
| other (Indian market sectors including L&T, PSU banks, chemicals, EMS, and metals) | — | 1 (0%) |
| other (Indian market) | — | 2 (0%) |
| other (Indian markets - Nifty) | — | 1 (0%) |
| other (Indian markets) | — | 18 (4%) |
| other (Indian markets: Sensex, Nifty) | — | 1 (0%) |
| other (Indian metal stocks) | — | 1 (0%) |
| other (Indian monetary policy) | — | 1 (0%) |
| other (Indian oil companies) | — | 1 (0%) |
| other (Indian oil marketing companies) | — | 1 (0%) |
| other (Indian pharmaceutical market) | — | 1 (0%) |
| other (Indian rupee against US dollar) | — | 1 (0%) |
| other (Indian rupee) | — | 6 (1%) |
| other (Indian stock market) | — | 2 (0%) |
| other (Indian stock markets) | — | 7 (2%) |
| other (Indian stock markets: Sensex and Nifty) | — | 1 (0%) |
| other (Indian stock markets: Sensex, Nifty) | — | 1 (0%) |
| other (Indian stocks across sectors like AI, defence and home services) | — | 1 (0%) |
| other (Indian stocks and rupee) | — | 1 (0%) |
| other (Indian stocks) | — | 2 (0%) |
| other (Indian stocks, specifically banks and IT) | — | 1 (0%) |
| other (Innovision IPO) | — | 2 (0%) |
| other (Japanese government bonds) | — | 1 (0%) |
| other (LG Electronics India) | — | 1 (0%) |
| other (NBFC stocks in India) | — | 1 (0%) |
| other (NSE stocks with market capitalisation above Rs 10,000 crore) | — | 1 (0%) |
| other (NSE-listed stocks) | — | 1 (0%) |
| other (Nifty 50) | — | 2 (0%) |
| other (Nifty 500 stocks) | — | 4 (1%) |
| other (Nifty Bank index) | — | 2 (0%) |
| other (Nifty index) | — | 2 (0%) |
| other (Nifty market) | — | 3 (1%) |
| other (Nifty stocks) | — | 1 (0%) |
| other (Nifty) | — | 6 (1%) |
| other (Nifty200 stocks) | — | 3 (1%) |
| other (Nifty500 stocks) | — | 7 (2%) |
| other (Oil market) | — | 1 (0%) |
| other (Oil marketing companies) | — | 1 (0%) |
| other (Paytm and Pine Labs) | — | 1 (0%) |
| other (Quick service restaurant stocks) | — | 1 (0%) |
| other (Rupee currency market) | — | 1 (0%) |
| other (SIP collections in Indian mutual funds) | — | 1 (0%) |
| other (Sagility stock) | — | 1 (0%) |
| other (Sensex stocks) | — | 1 (0%) |
| other (Sona Comstar stock) | — | 1 (0%) |
| other (United Breweries) | — | 1 (0%) |
| other (United Spirits stock) | — | 1 (0%) |
| other (Venezuela's bonds) | — | 1 (0%) |
| other (banking sector) | — | 1 (0%) |
| other (banking stocks) | — | 1 (0%) |
| other (bullion market) | — | 1 (0%) |
| other (cement sector) | — | 1 (0%) |
| other (crude oil futures) | — | 1 (0%) |
| other (crude oil market) | — | 1 (0%) |
| other (defence sector) | — | 1 (0%) |
| other (equities) | — | 1 (0%) |
| other (gold and silver markets) | — | 2 (0%) |
| other (large-cap stocks showing bullish White Marubozu pattern) | — | 1 (0%) |
| other (large-cap stocks) | — | 1 (0%) |
| other (largecap stocks in autos, cement, and capital goods) | — | 1 (0%) |
| other (life insurance stocks) | — | 1 (0%) |
| other (metal stocks) | — | 2 (0%) |
| other (oil market) | — | 2 (0%) |
| other (paint stocks) | — | 1 (0%) |
| other (precious metals) | — | 1 (0%) |
| other (private banks) | — | 1 (0%) |
| other (private banks, consumer internet, and select large-cap stocks) | — | 1 (0%) |
| other (small-cap stocks) | — | 1 (0%) |
| other (stocks related to crude oil market) | — | 1 (0%) |
| other (stocks with market capitalisation above Rs 10,000 crore) | — | 1 (0%) |
| other (sugar stocks) | — | 1 (0%) |
| other (water infrastructure sector) | — | 1 (0%) |
| precious metals | — | 1 (0%) |
| technology stocks (Tech) | 3 (100%) | 17 (4%) |
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Frequently Asked Questions
Which is more reliable: CNBC Technology or Economic Times?▼
Based on our analysis, CNBC Technology has higher forecast accuracy (66.7%) compared to Economic Times (27.9%). However, accuracy can vary by market context.
How are these comparisons calculated?▼
We extract market forecasts from news articles using AI, then evaluate each prediction against actual market data. Sources are compared on overall accuracy, sentiment distribution, and per-market-context performance.
What markets do CNBC Technology and Economic Times both cover?▼
They share 1 market contexts: technology stocks (Tech). Each source may also cover additional markets independently.
Our Methodology
We use AI to extract market forecasts from news articles, then evaluate each prediction against actual market data using yfinance. Only sources with 3+ evaluated forecasts are ranked.