Financial TimesvsFXStreet
Financial Times (37.5% hit rate) vs FXStreet (36.4% hit rate): how often each source’s headline tone matched the later price move.
Neither did better against chance than the other
Based on 3149 and 11412 checked headlines
Hit rate
Checked reports
Articles Analyzed
Avg. Relevance
Sentiment & Bias Analysis
How bullish or bearish each source’s headlines tend to be.
Sentiment Distribution
Financial Times
FXStreet
Market Context Coverage
| Hit rate by market | Financial Times | FXStreet |
|---|---|---|
| AI infrastructure bonds | 1 (0%) | — |
| AMD | — | 1 (0%) |
| APAC FX | — | 2 (0%) |
| ASEAN FX | — | 1 (0%) |
| AUD/JPY | — | 35 (1%) |
| AUD/NZD | — | 5 (0%) |
| AUD/USD | — | 87 (2%) |
| Aluminium | — | 5 (0%) |
| Amazon | — | 2 (0%) |
| Anthropic IPO | 1 (0%) | — |
| Apple | — | 1 (0%) |
| Argentine peso | 1 (0%) | — |
| Asia FX | — | 3 (0%) |
| Asian FX | — | 7 (0%) |
| Asian stocks | 85 (6%) | 65 (1%) |
| Australian stocks | 23 (2%) | 114 (2%) |
| BNB | 3 (0%) | 2 (0%) |
| BRL/USD | — | 3 (0%) |
| Bitcoin | 18 (1%) | 77 (2%) |
| Brazilian markets | 1 (0%) | — |
| CAD | — | 7 (0%) |
| CAD/USD | — | 13 (0%) |
| CEE FX | — | 10 (0%) |
| CEE exports | — | 1 (0%) |
| CHF/EUR | — | 1 (0%) |
| CHF/JPY | — | 1 (0%) |
| CNY | — | 1 (0%) |
| CNY/USD | — | 2 (0%) |
| Canadian Dollar | — | 5 (0%) |
| Canadian markets | — | 1 (0%) |
| Canadian rates | — | 1 (0%) |
| Cardano | — | 8 (0%) |
| China 10-year government bonds | 1 (0%) | — |
| China macro | — | 1 (0%) |
| Chinese GDP | — | 1 (0%) |
| Chinese Yuan | — | 1 (0%) |
| Chinese credit | — | 1 (0%) |
| Chinese economy | — | 1 (0%) |
| Chinese macro data | — | 1 (0%) |
| Chinese markets | — | 2 (0%) |
| Cocoa Futures | — | 1 (0%) |
| Copper | 2 (0%) | 14 (0%) |
| Czech Crown | — | 1 (0%) |
| DAX | 10 (1%) | 20 (0%) |
| DXY | — | 4 (0%) |
| Denison Mine | — | 1 (0%) |
| Dogecoin | — | 13 (0%) |
| Dollar Index | — | 1 (0%) |
| EUR/CAD | — | 1 (0%) |
| EUR/CHF | — | 1 (0%) |
| EUR/GBP | — | 29 (1%) |
| EUR/JPY | — | 37 (1%) |
| EUR/PLN | — | 1 (0%) |
| EUR/SEK | — | 1 (0%) |
| EUR/USD | 4 (0%) | 572 (11%) |
| Estée Lauder | — | 1 (0%) |
| Ethereum | — | 10 (0%) |
| European Natural Gas | — | 1 (0%) |
| European gas | — | 1 (0%) |
| European natural gas | 1 (0%) | — |
| European stocks | 72 (5%) | 124 (2%) |
| Eurozone macro | — | 2 (0%) |
| Forex | — | 1 (0%) |
| French bond | 1 (0%) | — |
| GBP/JPY | — | 37 (1%) |
| GBP/USD | — | 526 (10%) |
| Glencore | 1 (0%) | — |
| Gold | 44 (3%) | 510 (10%) |
| Goldman Sachs | — | 1 (0%) |
| — | 1 (0%) | |
| Hims & Hers Health | — | 1 (0%) |
| Hong Kong SME Business | — | 1 (0%) |
| Hungarian Forint | — | 6 (0%) |
| Hungarian economy | — | 1 (0%) |
| IDR/USD | — | 5 (0%) |
| INR | — | 1 (0%) |
| INR/USD | — | 4 (0%) |
| Indian stocks | 72 (5%) | 90 (2%) |
| Indonesia | — | 2 (0%) |
| Indonesia Inflation | — | 1 (0%) |
| Indonesian | 1 (0%) | — |
| Indonesian Rupiah | — | 9 (0%) |
| Indonesian macroeconomics | — | 1 (0%) |
| Indonesian markets | — | 1 (0%) |
| Indonesian stock | 1 (0%) | — |
| Japanese stocks | 52 (4%) | 91 (2%) |
| KOSPI | — | 1 (0%) |
| KRW | — | 5 (0%) |
| KRW/KOSPI | — | 1 (0%) |
| KRW/USD | — | 4 (0%) |
| Kazakh tenge | 1 (0%) | — |
| Korean Won | — | 2 (0%) |
| Korean markets | — | 1 (0%) |
| MENA FX | — | 1 (0%) |
| MYR | — | 1 (0%) |
| MYR/USD | — | 4 (0%) |
| Mastercard Inc | — | 1 (0%) |
| Meta | — | 1 (0%) |
| Mexican Peso | — | 1 (0%) |
| NASDAQ | 12 (1%) | 45 (1%) |
| NBCC | — | 1 (0%) |
| NOK | — | 2 (0%) |
| NOK/EUR | — | 1 (0%) |
| NOK/SEK | — | 1 (0%) |
| NOK/USD | — | 2 (0%) |
| NZD | — | 5 (0%) |
| NZD/USD | — | 18 (0%) |
| Natural Gas | — | 3 (0%) |
| New Zealand | — | 1 (0%) |
| New Zealand Trade Balance | — | 1 (0%) |
| New Zealand markets | — | 2 (0%) |
| Norwegian Krone | — | 5 (0%) |
| Novo Nordisk | — | 1 (0%) |
| OKLO | — | 1 (0%) |
| Oil | 411 (29%) | 522 (10%) |
| PBR | — | 1 (0%) |
| PHP | — | 1 (0%) |
| PHP/USD | — | 1 (0%) |
| PLN/EUR | — | 1 (0%) |
| Pfizer | — | 1 (0%) |
| Philippine Peso | — | 1 (0%) |
| Pi Network | — | 3 (0%) |
| Polish Zloty | — | 4 (0%) |
| Ralph Lauren | — | 1 (0%) |
| Romanian Leu | — | 1 (0%) |
| SEK | — | 1 (0%) |
| SEK/USD | — | 1 (0%) |
| SGD | — | 2 (0%) |
| SGD/SGDNEER | — | 1 (0%) |
| SGD/USD | — | 6 (0%) |
| Silver | 3 (0%) | 222 (4%) |
| Singapore CPI | — | 1 (0%) |
| Singapore Economy | — | 1 (0%) |
| Singapore GDP | — | 1 (0%) |
| Singapore macro | — | 1 (0%) |
| Solana | — | 5 (0%) |
| South African Rand | — | 2 (0%) |
| South Korean | 1 (0%) | — |
| South Korean Won | — | 1 (0%) |
| South Korean markets | — | 2 (0%) |
| South Korean monetary policy | — | 1 (0%) |
| Swedish Krona | — | 1 (0%) |
| Swedish interest rates | — | 1 (0%) |
| Swiss Franc | — | 3 (0%) |
| Synthetix | — | 1 (0%) |
| THB/USD | — | 1 (0%) |
| Taiwan Dollar | — | 1 (0%) |
| Taiwan macro | — | 1 (0%) |
| Taiwan tech exports | — | 1 (0%) |
| Thai Baht | — | 7 (0%) |
| Travelers Insurance | — | 1 (0%) |
| Turkish | 1 (0%) | — |
| Turkish Lira | — | 3 (0%) |
| UK markets | 79 (6%) | 127 (2%) |
| US Dollar | — | 9 (0%) |
| US Dollar Index | — | 19 (0%) |
| US banking sector | 1 (0%) | — |
| US short-term interest rates | 1 (0%) | — |
| USA | 221 (16%) | 540 (10%) |
| USD | — | 19 (0%) |
| USD Index | — | 3 (0%) |
| USD/CAD | — | 45 (1%) |
| USD/CHF | — | 16 (0%) |
| USD/CNH | — | 14 (0%) |
| USD/CNY | — | 1 (0%) |
| USD/IDR | — | 8 (0%) |
| USD/INR | — | 7 (0%) |
| USD/JPY | 20 (1%) | 693 (13%) |
| USD/MXN | — | 3 (0%) |
| USD/MYR | — | 3 (0%) |
| USD/PHP | — | 2 (0%) |
| USD/SGD | — | 13 (0%) |
| USD/TRY | — | 1 (0%) |
| USD/TWD | — | 2 (0%) |
| USD/VND | — | 1 (0%) |
| USD/ZAR | — | 2 (0%) |
| USDCAD | — | 1 (0%) |
| XRP | — | 30 (1%) |
| critical minerals | 1 (0%) | — |
| cryptocurrencies (Crypto) | 17 (1%) | 34 (1%) |
| forex markets | — | 1 (0%) |
| global food | 1 (0%) | — |
| global markets | 147 (10%) | 76 (2%) |
| high-yield credit markets | 1 (0%) | — |
| junk-rated corporate bonds | 1 (0%) | — |
| private | 1 (0%) | — |
| private markets | 1 (0%) | — |
| technology stocks (Tech) | 101 (7%) | 49 (1%) |
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How often the news was right
Each source’s hit rate, compared with chance
Frequently Asked Questions
Which is more reliable: Financial Times or FXStreet?▼
How are these comparisons calculated?▼
What markets do Financial Times and FXStreet both cover?▼
Our Methodology
AI classifies each article's tone as up, down or sideways for the market it covers. From the first price a reader could trade after publication we check the move after 1, 3 and 7 days. A source's hit rate is compared with chance for the same calls and outcomes within each market, so covering calm or busy markets earns nothing. Each difference comes with a 95 % interval; checks close in time are resampled together in blocks of 7 or 14 days, because they share market moves. A verdict needs at least 300 checks and must hold after correcting for the number of sources tested (Holm). This answers "did the market move that way?": a hit rate, not a return. AIamond makes no forecasts of its own.