Head-to-Head Comparison
FXStreetvswallstreet-online Nachrichten
FXStreet (36.4% hit rate) vs wallstreet-online Nachrichten (36.8% hit rate): how often each source’s headline tone matched the later price move.
Neither did better against chance than the other
Based on 11412 and 1181 checked headlines
Hit rate
36.4%vs36.8%
Checked reports
11,412vs1,181
Articles Analyzed
6,057vs651
Avg. Relevance
-vs-
Sentiment & Bias Analysis
How bullish or bearish each source’s headlines tend to be.
Sentiment Distribution
FXStreet
Avg. Sentiment: -0.07
Bullish 38%Neutral 11%Bearish 51%
wallstreet-online Nachrichten
Avg. Sentiment: 0.00
Bullish 47%Neutral 3%Bearish 50%
Market Context Coverage
| Hit rate by market | FXStreet | wallstreet-online Nachrichten |
|---|---|---|
| AMD | 1 (0%) | — |
| APAC FX | 2 (0%) | — |
| ASEAN FX | 1 (0%) | — |
| ASOS | — | 1 (0%) |
| AT&S | — | 1 (0%) |
| AT&T | — | 1 (0%) |
| AUD/JPY | 35 (1%) | — |
| AUD/NZD | 5 (0%) | — |
| AUD/USD | 87 (2%) | — |
| AXA | — | 1 (0%) |
| Adobe | — | 1 (0%) |
| Airbus | — | 2 (0%) |
| Aixtron | — | 1 (0%) |
| Alibaba | — | 3 (1%) |
| Alibaba/Chinese Tech | — | 1 (0%) |
| Allianz | — | 2 (0%) |
| Alphabet | — | 1 (0%) |
| Aluminium | 5 (0%) | — |
| Amazon | 2 (0%) | 2 (0%) |
| American Express | — | 1 (0%) |
| AppLovin | — | 1 (0%) |
| Apple | 1 (0%) | 3 (1%) |
| Asia FX | 3 (0%) | — |
| Asian FX | 7 (0%) | — |
| Asian stocks | 65 (1%) | 3 (1%) |
| Australian stocks | 114 (2%) | 3 (1%) |
| Auto1 Group | — | 1 (0%) |
| Aviation/Transport | — | 1 (0%) |
| BMW | — | 1 (0%) |
| BNB | 2 (0%) | 1 (0%) |
| BRL/USD | 3 (0%) | — |
| BYD | — | 3 (1%) |
| Bank | — | 1 (0%) |
| Bayer | — | 1 (0%) |
| BioNTech | — | 2 (0%) |
| Biogen | — | 1 (0%) |
| Biotech | — | 1 (0%) |
| Bitcoin | 77 (2%) | 21 (3%) |
| BlackRock | — | 1 (0%) |
| Brazilian | — | 1 (0%) |
| Brazilian Real | — | 2 (0%) |
| Bulgarian | — | 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%) | 1 (0%) |
| Canadian rates | 1 (0%) | — |
| Cannabis | — | 2 (0%) |
| Cardano | 8 (0%) | — |
| Carrefour | — | 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%) | — |
| Chinese solar sector | — | 1 (0%) |
| Coca-Cola | — | 1 (0%) |
| Cocoa Futures | 1 (0%) | — |
| Commodities | — | 1 (0%) |
| Copper | 14 (0%) | 2 (0%) |
| Czech Crown | 1 (0%) | — |
| D-Wave | — | 1 (0%) |
| DAX | 20 (0%) | 54 (8%) |
| DHL Group | — | 1 (0%) |
| DXY | 4 (0%) | — |
| Daimler Truck | — | 1 (0%) |
| Dell Technologies | — | 1 (0%) |
| Denison Mine | 1 (0%) | — |
| Deutsche Bank | — | 2 (0%) |
| Deutsche Telekom | — | 3 (1%) |
| 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 | 572 (11%) | 4 (1%) |
| EssilorLuxottica | — | 1 (0%) |
| Estée Lauder | 1 (0%) | 1 (0%) |
| Ethereum | 10 (0%) | 1 (0%) |
| European Natural Gas | 1 (0%) | — |
| European gas | 1 (0%) | — |
| European natural gas | — | 1 (0%) |
| European stocks | 124 (2%) | 40 (6%) |
| Eurozone macro | 2 (0%) | — |
| Evotec | — | 1 (0%) |
| Forex | 1 (0%) | — |
| Fortinet | — | 1 (0%) |
| French government bonds | — | 2 (0%) |
| GBP/JPY | 37 (1%) | — |
| GBP/USD | 526 (10%) | — |
| General Motors | — | 1 (0%) |
| Gold | 510 (10%) | 28 (4%) |
| Goldman Sachs | 1 (0%) | — |
| 1 (0%) | — | |
| HP | — | 1 (0%) |
| Hapag-Lloyd | — | 1 (0%) |
| HelloFresh | — | 1 (0%) |
| Hensoldt AG | — | 1 (0%) |
| Hims & Hers Health | 1 (0%) | — |
| Honda | — | 1 (0%) |
| Honeywell Aerospace | — | 1 (0%) |
| Hong Kong SME Business | 1 (0%) | — |
| Hungarian Forint | 6 (0%) | — |
| Hungarian economy | 1 (0%) | — |
| Hungarian markets | — | 1 (0%) |
| IBM | — | 1 (0%) |
| IDR/USD | 5 (0%) | — |
| IMAX | — | 1 (0%) |
| INR | 1 (0%) | — |
| INR/USD | 4 (0%) | — |
| Iambic Therapeutics | — | 1 (0%) |
| Indian stocks | 90 (2%) | 3 (1%) |
| Indonesia | 2 (0%) | — |
| Indonesia Inflation | 1 (0%) | — |
| Indonesian Rupiah | 9 (0%) | — |
| Indonesian macroeconomics | 1 (0%) | — |
| Indonesian markets | 1 (0%) | — |
| IonQ | — | 1 (0%) |
| Iranian Rial | — | 1 (0%) |
| Jakarta Stock Exchange | — | 1 (0%) |
| Japanese stocks | 91 (2%) | 2 (0%) |
| KOSPI | 1 (0%) | — |
| KRW | 5 (0%) | — |
| KRW/KOSPI | 1 (0%) | — |
| KRW/USD | 4 (0%) | — |
| Korean Won | 2 (0%) | — |
| Korean markets | 1 (0%) | — |
| Kraft Heinz | — | 1 (0%) |
| Kupfermarkt | — | 1 (0%) |
| Leonardo | — | 1 (0%) |
| Lithium | — | 1 (0%) |
| Lockheed Martin | — | 2 (0%) |
| Lufthansa stock, aviation sector | — | 1 (0%) |
| MENA FX | 1 (0%) | — |
| MYR | 1 (0%) | — |
| MYR/USD | 4 (0%) | — |
| Mastercard Inc | 1 (0%) | — |
| Mensch und Maschine | — | 1 (0%) |
| Meta | 1 (0%) | — |
| Meta Platforms | — | 2 (0%) |
| Mexican Peso | 1 (0%) | — |
| Micron | — | 1 (0%) |
| MiniMax | — | 1 (0%) |
| Moderna | — | 1 (0%) |
| NASDAQ | 45 (1%) | 16 (3%) |
| 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%) | — |
| Nanexa | — | 1 (0%) |
| Natural Gas | 3 (0%) | — |
| Nebius Group | — | 2 (0%) |
| NetApp | — | 1 (0%) |
| Netflix | — | 2 (0%) |
| New Zealand | 1 (0%) | — |
| New Zealand Trade Balance | 1 (0%) | — |
| New Zealand markets | 2 (0%) | — |
| NextDC | — | 1 (0%) |
| Nike | — | 2 (0%) |
| Nordex | — | 1 (0%) |
| Nordex AG | — | 1 (0%) |
| Norwegian Krone | 5 (0%) | — |
| Novo Nordisk | 1 (0%) | 2 (0%) |
| Novo Nordisk, pharmaceutical | — | 1 (0%) |
| Nscale IPO | — | 1 (0%) |
| OKLO | 1 (0%) | — |
| Oil | 522 (10%) | 96 (15%) |
| Oracle | — | 2 (0%) |
| PBR | 1 (0%) | — |
| PHP | 1 (0%) | — |
| PHP/USD | 1 (0%) | — |
| PLN/EUR | 1 (0%) | — |
| Palantir | — | 1 (0%) |
| Palantir stock, analyst rating | — | 1 (0%) |
| Palfinger | — | 2 (0%) |
| Palo Alto Networks | — | 1 (0%) |
| PayPal | — | 2 (0%) |
| Pfizer | 1 (0%) | — |
| Philippine Peso | 1 (0%) | — |
| Pi Network | 3 (0%) | — |
| Polish Zloty | 4 (0%) | — |
| Procter & Gamble | — | 2 (0%) |
| Puma SE | — | 1 (0%) |
| RWE | — | 1 (0%) |
| Ralph Lauren | 1 (0%) | — |
| Redcare Pharmacy | — | 1 (0%) |
| Renk AG | — | 2 (0%) |
| Rheinmetall | — | 1 (0%) |
| Rheinmetall / defense technology | — | 1 (0%) |
| Rivian stock, EV maker | — | 1 (0%) |
| Romanian Leu | 1 (0%) | — |
| SAP | — | 1 (0%) |
| SEK | 1 (0%) | — |
| SEK/USD | 1 (0%) | — |
| SGD | 2 (0%) | — |
| SGD/SGDNEER | 1 (0%) | — |
| SGD/USD | 6 (0%) | — |
| SK Hynix | — | 1 (0%) |
| Saab AB | — | 1 (0%) |
| Salesforce | — | 1 (0%) |
| Salzgitter AG | — | 1 (0%) |
| Samsung Electronics | — | 2 (0%) |
| Sandisk | — | 1 (0%) |
| Sartorius | — | 1 (0%) |
| Shopify-related e-commerce software | — | 1 (0%) |
| Siemens | — | 1 (0%) |
| Siemens AG | — | 1 (0%) |
| Siemens Energy | — | 3 (1%) |
| Silver | 222 (4%) | 11 (2%) |
| Singapore CPI | 1 (0%) | — |
| Singapore Economy | 1 (0%) | — |
| Singapore GDP | 1 (0%) | — |
| Singapore macro | 1 (0%) | — |
| SoftBank | — | 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%) | — |
| South Korean solar | — | 1 (0%) |
| Space sector | — | 1 (0%) |
| SpaceX | — | 1 (0%) |
| Swedish Krona | 1 (0%) | — |
| Swedish interest rates | 1 (0%) | — |
| Swiss Franc | 3 (0%) | 1 (0%) |
| Synthetix | 1 (0%) | — |
| THB/USD | 1 (0%) | — |
| Taiwan Dollar | 1 (0%) | — |
| Taiwan macro | 1 (0%) | — |
| Taiwan tech exports | 1 (0%) | — |
| Take-Two Interactive | — | 2 (0%) |
| Target | — | 1 (0%) |
| Technip Energies | — | 1 (0%) |
| Tesla | — | 3 (1%) |
| Thai Baht | 7 (0%) | — |
| Thyssenkrupp | — | 1 (0%) |
| Travelers Insurance | 1 (0%) | — |
| Turkish Lira | 3 (0%) | — |
| UK markets | 127 (2%) | 3 (1%) |
| US Dollar | 9 (0%) | — |
| US Dollar Index | 19 (0%) | — |
| US Real Estate | — | 1 (0%) |
| US Soybean | — | 1 (0%) |
| USA | 540 (10%) | 57 (9%) |
| 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 | 693 (13%) | 1 (0%) |
| 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%) | — |
| Uber Technologies, ride-hailing | — | 1 (0%) |
| Union Pacific | — | 1 (0%) |
| Uranium | — | 1 (0%) |
| Verbio AG | — | 1 (0%) |
| Verizon | — | 1 (0%) |
| Vertiv | — | 1 (0%) |
| Vestas Wind Systems | — | 1 (0%) |
| Vincorion | — | 1 (0%) |
| Vonovia | — | 2 (0%) |
| XRP | 30 (1%) | 5 (1%) |
| Xiaomi | — | 1 (0%) |
| Xpeng | — | 1 (0%) |
| Zinc | — | 2 (0%) |
| cryptocurrencies (Crypto) | 34 (1%) | 7 (1%) |
| forex markets | 1 (0%) | — |
| general | — | 1 (0%) |
| global markets | 76 (2%) | 15 (2%) |
| online retail / e-commerce | — | 1 (0%) |
| restaurant | — | 1 (0%) |
| technology stocks (Tech) | 49 (1%) | 98 (15%) |
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Each source’s hit rate, compared with chance
Frequently Asked Questions
Which is more reliable: FXStreet or wallstreet-online Nachrichten?▼
FXStreet (36.4%) and wallstreet-online Nachrichten (36.8%) get the same verdict against chance, measured from the first tradable price. A raw hit rate mostly reflects which markets a source covers, so a gap between the two rates alone says little.
How are these comparisons calculated?▼
AI rates each headline’s tone as up, down or sideways for its market. From the first price a reader could trade we check the move after 1, 3 and 7 days, and compare each source’s hit rate with chance for its own mix of calls (method on /how-reliable-is). Sources are compared on that verdict, their tone mix and the markets they cover.
What markets do FXStreet and wallstreet-online Nachrichten both cover?▼
They share 28 market contexts: Amazon, Apple, Asian stocks, Australian stocks, BNB, Bitcoin, Canadian markets, Copper, DAX, EUR/USD, Estée Lauder, Ethereum, European stocks, Gold, Indian stocks, Japanese stocks, NASDAQ, Novo Nordisk, Oil, Silver, Swiss Franc, UK markets, USA, USD/JPY, XRP, cryptocurrencies (Crypto), global markets, technology stocks (Tech). Each source may also cover additional markets independently.
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.