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 liquidation hits XRP harder due to its correlation with broader crypto sentiment amid Middle East escalation. Historical precedent: Similar to Aug 2019 US-China tariff escalation when XRP fell 12% in three days. Key risk: Positive regulatory clarity announcement would trigger relief rally.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Risk-off liquidation cascades hit high-beta altcoins as Middle East escalation triggers broad crypto selling. Historical precedent: Similar to Feb 2022 Ukraine invasion when SOL dropped 20% in 48h. Key risk: Rapid de-escalation would trigger relief rally.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Risk-off selling hits ETH as Middle East escalation triggers broad crypto liquidation and ETF outflows. Historical precedent: Similar to Feb 2022 Ukraine invasion when ETH dropped 12% in 48h. Key risk: Ceasefire signals would trigger short-covering.”
US Depletes Missiles in Prolonged Iran War
“Causal mechanism: Broad risk-off sentiment from Middle East supply shocks triggers liquidation cascades in altcoins as BTC leads lower. Historical precedent: Similar to Feb 2022 Ukraine invasion when altcoins dropped 15-20% alongside BTC in 48h. Key risk: Rapid de-escalation in Hormuz talks would trigger short-covering rally within hours.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Immediate risk-off selling as Middle East supply shocks trigger broad crypto liquidation and ETF outflows. Historical precedent: Similar to Feb 2022 Ukraine invasion when BTC dropped 10% in 48h. Key risk: Ceasefire talks acceleration would unwind risk-off within hours.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Direct exposure to US-China-Taiwan tensions via arms sales threats and espionage accusations. Historical precedent: Similar to Aug 2019 US-China tariff escalation when TSM fell 10% in one week. Key risk: Trump-Xi summit confirmation would trigger relief rally.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Risk-off selling hits high-beta tech amid geopolitical escalation and US-China tensions. Historical precedent: Similar to Aug 2019 tariff escalation when META fell 8% in one week. Key risk: De-escalation signals would trigger short-covering.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Risk-off equity selling from geopolitical escalation pressures high-beta tech names like AMZN. Historical precedent: Similar to Aug 2019 US-China tariff escalation when AMZN fell 8% in one week. Key risk: Quick de-escalation in US-Iran conflict would limit downside.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Broad risk-off equity selling from Middle East supply shocks and US-China tensions. Historical precedent: Similar to Aug 2019 US-China tariff escalation when SPX fell 6% in three days. Key risk: Quick de-escalation in Hormuz or Iran conflict would limit losses.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Direct supply disruption risk from Houthi Red Sea control, Hormuz tensions, Saudi pipeline attacks, and US-Iran conflict. Historical precedent: Similar to 2019 Hormuz tanker attacks when Brent rose 10% in one month. Key risk: Rapid de-escalation or supply response would cap upside.”
US Depletes Missiles in Prolonged Iran War
“Causal mechanism: Safe-haven demand for USD as Middle East escalation and supply shocks increase global uncertainty. Historical precedent: Similar to Feb 2022 Ukraine invasion when DXY rose 2% in one week. Key risk: Rapid de-escalation would reverse safe-haven flows.”
US Depletes Missiles in Prolonged Iran War
“Causal mechanism: Safe-haven flows into JPY as geopolitical escalation increases global uncertainty. Historical precedent: Similar to Feb 2022 Ukraine invasion when JPY rose 3% in one week. Key risk: Rapid de-escalation would unwind safe-haven bid.”
Severe Storms Trigger Flash Floods and Prolonged Flood Warnings in Central Iowa
“Causal mechanism: US-China tensions escalation directly pressures AAPL via Taiwan supply chain and consumer demand fears. Historical precedent: Similar to Aug 2019 US-China tariff escalation when AAPL fell 6% in three days. Key risk: Trump-Xi summit confirmation would reverse selling.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Direct safe-haven buying as US-Iran war and Houthi Strait control raise systemic risk premium. Historical precedent: Similar to February 2022 Ukraine invasion when gold rose 8% in two weeks. Key risk: Quick diplomatic breakthrough in Lebanon talks would unwind positions.”
DR Congo Ebola Outbreak Becomes Deadliest on Record
“Causal mechanism: EUR weakens vs USD as safe-haven flows favor dollar amid Middle East escalation. Historical precedent: Similar to Feb 2022 Ukraine invasion when EUR fell 2% vs USD. Key risk: ECB hawkish signals would limit downside.”
US Depletes Missiles in Prolonged Iran War
“Causal mechanism: Safe-haven flows into CHF as geopolitical escalation in Middle East and Eastern Europe increases uncertainty. Historical precedent: Similar to Feb 2022 Ukraine invasion when CHF rose 2% in one week. Key risk: Rapid de-escalation signals would unwind safe-haven premium.”
Nepal Floods Kill Over 1000, Thousands Missing
“Causal mechanism: Risk-off flows strengthen USD as ME geopolitical escalation dominates. Historical precedent: Similar to 2019-2020 US-Iran tensions when Asian currencies weakened against USD. Key risk: BRICS summit de-dollarisation rhetoric accelerates CNY selling.”
Nepal-Tibet Border Flood Kills Over 1,300
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