Real-time geopolitical event analysis with AI predictions across 38 global assets — crypto, stocks, commodities, and forex. Refreshed every 5 minutes.
We trace every move back to the events driving it — wars, sanctions, supply shocks, central-bank decisions — with mechanisms and confidence scores. Rebuilt every 5 minutes.
Catalyst is free for everyone. If it’s useful, support the newsroom — no ads, daily briefings.Support us →
Catalyst is a real-time AI market intelligence engine that traces every move in stocks, crypto, gold, oil, and forex back to the geopolitical events driving it — with directional calls, impact ranges, and confidence levels.
In 2026, AI stock predictions have moved beyond pattern-matching on price history. Catalyst tracks 38 assets in real time — including Bitcoin, NVDA, gold, and oil — and publishes a directional call, an estimated impact range, and a confidence level every five minutes during market hours.
The pipeline ingests live geopolitical events from USGS, NASA FIRMS, ACLED, and GDELT, joined to price feeds from CoinGecko and Twelve Data. An AI reasoning engine evaluates each event against historical precedents to produce a falsifiable prediction — not a vague forecast. Every prediction becomes a permanent timestamped report on the Catalyst track record page.
Unlike technical AI tools that fit curves to past prices, Catalyst answers a different question: which real-world event is moving this asset, and by how much? When Russia invaded Ukraine in February 2022, technical analysis could not predict the 30% oil spike or the 8% gold rally — but the geopolitical transmission mechanism made those moves predictable. Catalyst applies that framework automatically, across all tracked assets, around the clock.
Every market move has a cause — usually three or four overlapping ones. Catalyst surfaces them in ranked order: a stronger-than-expected jobs report can push out Fed rate-cut expectations, lifting Treasury yields and triggering a risk-off selloff in stocks; a Middle East escalation can simultaneously bid up gold and oil while pressuring equity indices through higher input costs.
Instead of guessing, see the live breakdown for each asset class. Each explainer below is rebuilt every 5 minutes from live event data and published with confidence scores, mechanism descriptions, and direct links to the underlying news sources:
For every geopolitical event, Catalyst runs a structured AI stock analysis that traces a clear causal chain: Event → Market Mechanism → Specific Asset Impact. When new tariffs are announced on semiconductor imports, the system identifies the direct revenue impact on affected companies, the second-order effects on supply chain partners, and the broader market sentiment shift that reprices related indices and currencies.
Each prediction is calibrated against historical precedents. If the current event resembles the 2018 US–China trade war, the system references the actual market moves from that period as calibration points and scales estimates based on relative severity and scope. Confidence levels are assigned honestly: HIGH for direct first-order impacts (oil up on supply disruption), MEDIUM for second-order correlations, LOW for speculative third-order effects. This honesty is the point — most AI stock predictors hide their misses; Catalyst publishes them.
Crypto markets are uniquely sensitive to live event flow. Regulatory announcements, ETF approvals, exchange incidents, and macro liquidity shifts move Bitcoin, Ethereum, and Solana in minutes — long before traditional analysts publish takes. Catalyst tracks 10 cryptocurrencies including BTC, ETH, SOL, XRP, ADA, AVAX, LINK, MATIC, BNB, and DOGE, with predictions refreshed every 5 minutes.
Unlike sentiment-only crypto prediction tools that look at social-media volume, Catalyst grounds its calls in identifiable events with verifiable source chains — the same methodology applied to traditional markets. See live crypto predictions on the tracked assets hub or browse individual asset pages for full prediction history.
Bloomberg Terminal costs around $24,000 per year and is designed for institutional traders who need everything in one place — chat network, full data suite, execution tools, news wire. Catalyst is not trying to replace all of that. It targets the single capability most retail traders and analysts actually use Bloomberg for: monitoring how live events move prices.
| Capability | Bloomberg Terminal | Catalyst |
|---|---|---|
| Live geopolitical event feed | ✓ Premium news | ✓ USGS, ACLED, GDELT, NASA |
| AI market impact predictions | Add-on (BBG GPT) | ✓ Built in, every 5 min |
| Causal-chain explainers | — | ✓ Event → Mechanism → Asset |
| Public, auditable track record | — | ✓ Every prediction timestamped |
| Order execution + chat network | ✓ | — |
| Annual cost | ~$24,000 | Free |
If you need the full Bloomberg suite, Bloomberg is irreplaceable. If you want institutional-grade event monitoring with AI market predictions for $0, that's the slice of the market Catalyst is built for.
Active crypto and forex traders use Catalyst predictions to anticipate market-moving events before they are fully priced in. Financial analysts and risk managers rely on systematic monitoring of geopolitical risk with quantified market correlations. Journalists and researchers use real-time event tracking with verified source chains for situational awareness. Catalyst is free for all of them.
AI-powered predictions for crypto, stocks, indices, commodities, and forex — updated every 5 minutes with multi-timeframe analysis.
Catalyst provides predictions across three timeframes for each tracked asset. Short-term analysis (24-48 hours) captures immediate event-driven price reactions — the kind of moves that happen when sanctions are announced, a supply disruption occurs, or a major geopolitical development breaks. Medium-term analysis (1-2 weeks) tracks how initial shocks propagate through supply chains, policy responses, and market repositioning. Long-term analysis (1-3 months) assesses structural shifts in market dynamics.
Each timeframe uses different weighting for event severity, historical precedent, and market structure. A trade war escalation might have a moderate short-term impact but a significant long-term structural effect on affected supply chains. Conversely, a natural disaster may cause an immediate price spike that mean-reverts within weeks as supply chains adapt.
Every Catalyst prediction is published as a timestamped report with a specific directional call, estimated impact range, and timeframe. This creates a fully auditable track record — unlike institutional intelligence platforms that rarely publish specific, falsifiable predictions.
Review our historical prediction accuracy on the Catalyst track record page, where you can see how past predictions performed against actual market outcomes. View all published reports on the tracked assets hub.
AI cannot predict stock prices with certainty, but it can forecast directional probabilities by tracing the causal chain from a real-world event to a specific asset. Catalyst’s approach is fundamental, not technical: when an event happens (sanctions, supply disruption, central bank decision, conflict escalation), the system identifies the transmission mechanism (commodity flow, rate expectations, safe-haven demand) and publishes a directional call with a numeric impact range and confidence level. Accuracy is highest for first-order impacts (oil spiking on supply shocks) and lower for speculative third-order effects.
The stock market moves on a mix of macro data (jobs, inflation, Fed expectations), corporate earnings, and geopolitical events. Catalyst breaks every market move into the specific events driving it. See the live causal-chain explainers under “Why is X moving?” for stocks, gold, oil, and crypto — each shows the ranked drivers of today’s move with confidence scores.
No single AI stock predictor is universally accurate — accuracy depends on asset class, time horizon, and event type. The more useful question when evaluating an AI stock market prediction service is whether it publishes its full track record, wins and losses alike, so accuracy can be verified rather than taken on faith. Catalyst publishes every prediction as a timestamped report, giving you an auditable track record across 38 assets. Compare actual outcomes against predictions on the Catalyst track record page; this transparency separates accountable AI prediction tools from black-box services that only highlight winners.
Yes. Bloomberg Terminal costs around $24,000 per year and is built for institutional traders. Catalyst delivers a focused subset of that capability — live geopolitical event monitoring with AI market impact predictions across 38 assets — entirely free. You won’t get Bloomberg’s full data suite, chat network, or execution tools, but for monitoring how events drive prices in real time, Catalyst is comparable institutional-quality intelligence at zero cost.
Catalyst predictions are updated every 5 minutes. The aggregation pipeline runs every 15 minutes to collect new event data and price feeds, while the AI reasoning engine processes and publishes new reports every 5 minutes during active market hours.
Catalyst tracks 38 assets across 5 asset classes: 10 cryptocurrencies (BTC, ETH, SOL, XRP, BNB, DOGE, ADA, AVAX, LINK, MATIC), 11 stocks (NVDA, AAPL, MSFT, TSLA, GOOGL, AMZN, META, TSM, LMT, NOC, RTX), 8 indices (S&P 500, Nasdaq 100, Dow Jones, FTSE 100, DAX, Nikkei 225, Hang Seng, CAC 40), 4 commodities (Gold, Silver, Crude Oil, Wheat), and 5 forex pairs (US Dollar, Euro, Japanese Yen, Chinese Yuan, Swiss Franc).
Technical analysis tools rely on price history, chart patterns, and indicators. Catalyst focuses on fundamental event-driven analysis — tracking how real-world geopolitical events (wars, sanctions, trade policies, natural disasters) affect market prices through identifiable causal chains. Both approaches complement each other.
Catalyst ingests data from USGS (earthquakes), NASA FIRMS (wildfires), ACLED (conflicts), GDELT (global events), CoinGecko (crypto prices), and Twelve Data (stocks, forex, commodities). Event data is classified by AI and cross-referenced against multiple sources before being used in predictions.
No. Catalyst predictions are AI-generated analysis for informational purposes only and do not constitute financial advice, investment recommendations, or solicitation to trade. Always conduct your own research and consult a qualified financial advisor before making investment decisions.
Important Disclaimer
Catalyst predictions are generated by AI for informational purposes only and do not constitute financial advice, investment recommendations, or solicitation to buy or sell any assets. The World Now is not a registered investment advisor, broker-dealer, or financial planner.
Past performance does not guarantee future results. Cryptocurrency and financial markets are highly volatile and involve substantial risk of loss. Always conduct your own research and consult a qualified financial advisor before making investment decisions. The World Now and its affiliates accept no liability for any losses arising from the use of this information.
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“Causal mechanism: Risk-off selling in crypto as geopolitical escalation triggers liquidation cascades and reduced risk appetite. Historical precedent: Similar to February 2022 Ukraine invasion when ETH dropped sharply in 48h. Key risk: Strong ETF inflows or stablecoin demand override macro sentiment.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Defense contractor gains from heightened geopolitical tensions across Middle East and Ukraine driving procurement expectations. Historical precedent: Similar to 2022 invasion period when NOC rallied on NATO spending surge. Key risk: Quick resolution of Ukraine leadership issues or West Bank violence reduces urgency.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Missile and defense systems demand rises with Ukraine drone strikes and Middle East escalation. Historical precedent: Similar to 2022 invasion when RTX benefited from air defense spending. Key risk: Ceasefire progress in Ukraine reduces immediate procurement needs.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Immediate risk-off selling as geopolitical escalation triggers algorithmic and headline-driven liquidation in crypto. Historical precedent: Similar to February 2022 Ukraine invasion when BTC dropped 10% in 48h. Key risk: Large ETF inflows or whale accumulation override sentiment.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Direct safe-haven buying as multiple critical geopolitical escalations (Russia, Middle East, Africa) drive capital into gold. Historical precedent: Similar to Feb 2022 Ukraine invasion when gold rose 8% in two weeks. Key risk: swift Hamas disarmament agreement reduces safe-haven demand.”
DR Congo Ebola Outbreak Becomes Deadliest on Record
“Causal mechanism: Tech stock sells off with broader risk-off rotation triggered by geopolitical escalation. Historical precedent: Similar to Feb 2022 Ukraine invasion when AAPL fell 6% in first week. Key risk: rapid de-escalation in multiple theaters sparks relief buying.”
DR Congo Ebola Outbreak Becomes Deadliest on Record
“Causal mechanism: Broad risk-off equity selling triggered by simultaneous Middle East escalations and Ukraine strikes increasing uncertainty. Historical precedent: Similar to October 2023 Hamas attack aftermath when global equities fell 2-3%. Key risk: Rapid de-escalation signals from Zelenskyy ceasefire push would reverse selling within 24h.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Risk-off selling in semiconductors as geopolitical escalation reduces growth expectations and increases uncertainty. Historical precedent: Similar to 2018 US-China tariff escalation when SOX fell sharply. Key risk: Strong AI demand or supply chain resilience narrative overrides macro sentiment.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Supply risk premium from multiple Middle East escalation events including West Bank violence, Al-Aqsa tensions, and Iranian unrest. Historical precedent: Similar to October 2023 Hamas attack when oil spiked 4%. Key risk: Zelenskyy ceasefire progress or rapid de-escalation in West Bank reduces premium.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Defense spending expectations rise on multiple geopolitical escalations including West Bank offensive, Ukraine strikes, and Russian hybrid threats. Historical precedent: Similar to 2022 Ukraine invasion when defense stocks rallied on NATO spending. Key risk: Rapid ceasefire in Ukraine or West Bank reduces spending narrative.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Safe-haven USD buying as multiple geopolitical shocks increase global uncertainty and reduce risk appetite. Historical precedent: Similar to February 2022 pre-invasion period when USD strengthened amid Russia-Ukraine tensions. Key risk: Zelenskyy peace proposals accelerate and reduce safe-haven demand.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: EUR weakens against USD on European geopolitical risk from Ukraine strikes, Russian hybrid threats, and energy concerns. Historical precedent: Similar to February 2022 invasion when EUR fell sharply vs USD. Key risk: ECB hawkish signals or Ukraine ceasefire progress supports EUR.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Safe-haven flows into CHF as Swiss franc benefits from European geopolitical uncertainty and risk-off sentiment. Historical precedent: Similar to February 2022 Ukraine invasion when CHF appreciated against EUR. Key risk: Rapid resolution of Ukraine ceasefire talks reduces safe-haven demand.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: High-beta crypto selling amplified by risk-off flows from geopolitical shocks and liquidation cascades. Historical precedent: Similar to February 2022 invasion when altcoins underperformed BTC in initial selloff. Key risk: Ecosystem-specific positive news or strong ETF rotation into SOL.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Indirect risk-off equity selling from broader geopolitical uncertainty. Historical precedent: Similar to 2018 US-China tariff escalation when S&P 500 declined ~20%. Key risk: no direct exposure so limited impact.”
Nepal Flash Floods Kill Over 1,000, Thousands Missing
“Causal mechanism: Immediate risk-off selling as geopolitical escalation triggers algorithmic liquidation in high-beta crypto. Historical precedent: Similar to Feb 2022 Ukraine invasion when BTC dropped 10% in 48h before recovering. Key risk: if Iran proposes credible 7-day exit plan, risk-off unwinds within hours.”
Nepal Flash Floods Kill Over 1,000, Thousands Missing
“Causal mechanism: Indirect risk-off equity selling from broader geopolitical uncertainty. Historical precedent: Similar to 2018 US-China tariff escalation when S&P 500 declined ~20%. Key risk: no direct exposure so limited impact.”
Nepal Flash Floods Kill Over 1,000, Thousands Missing
“Causal mechanism: Immediate risk-off selling as geopolitical escalation triggers algorithmic liquidation in high-beta crypto. Historical precedent: Similar to Feb 2022 Ukraine invasion when BTC dropped 10% in 48h before recovering. Key risk: if Iran proposes credible 7-day exit plan, risk-off unwinds within hours.”
Nepal Flash Floods Kill Over 1,000, Thousands Missing
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