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: Direct defense spending surge from US-Iran war costs exceeding $38B and missile depletion driving immediate contract expectations. Historical precedent: Similar to 2022 Ukraine invasion when defense stocks rallied. Key risk: Rapid de-escalation would reverse gains.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Super Typhoon Champi forces Taiwan shutdown with 977 flights canceled and production disruption. Historical precedent: Similar to Typhoon Morakot 2009 when TSMC stocks fell 4-6%. Key risk: Rapid storm clearance and minimal production damage would limit losses.”
US Depletes Missiles in Prolonged Iran War
“Causal mechanism: Direct supply disruption from Houthi attacks on Saudi East-West pipeline plus US-Iran war missile depletion creating acute risk premium. Historical precedent: Similar to Sep 2019 Abqaiq attacks when Brent spiked 15%. Key risk: Quick Saudi production restoration would cap gains.”
US Depletes Missiles in Prolonged Iran War
“Causal mechanism: Direct beneficiary of US-Iran conflict and Houthi escalation driving immediate defense spending expectations. Historical precedent: Similar to 2022 Ukraine invasion when defense names rallied. Key risk: Quick diplomatic resolution would limit gains.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Direct exposure to missile and defense spending surge from US-Iran war and Houthi attacks. Historical precedent: Similar to 2019 Soleimani period when defense stocks rose. Key risk: Rapid de-escalation would reverse gains.”
Zelenskyy Pushes Ceasefire as Russia Mobilizes North Koreans
“Causal mechanism: Broad risk-off equity selling from geopolitical uncertainty and natural disaster headlines reduces risk appetite for large-cap tech. Historical precedent: Similar to 2022 Ukraine invasion when AAPL fell 3.2% in first 48h amid global flight to safety. Key risk: Rapid de-escalation signals from US-Iran talks would trigger quick rebound.”
DR Congo Ebola Outbreak Becomes Deadliest on Record
“Causal mechanism: Broad risk-off equity selling triggered by US-Iran war costs exceeding $38B and Houthi oil infrastructure attacks. Historical precedent: Similar to Oct 1973 Yom Kippur War when global equities fell sharply. Key risk: Quick diplomatic breakthrough would limit downside.”
Gaza War Enters Third Year Amid Israeli Political Turmoil
“Causal mechanism: Direct safe-haven bid from US-Iran missile depletion and Houthi Saudi pipeline attacks creating acute geopolitical uncertainty. Historical precedent: Similar to Sep 2019 Abqaiq attacks when gold rose 3% intraday. Key risk: Ceasefire announcement in US-Iran theater would trigger rapid profit-taking.”
DR Congo Ebola Outbreak Becomes Deadliest on Record
“Causal mechanism: Safe-haven flows into CHF amid European unrest (France riots) and broader geopolitical risk. Historical precedent: Similar to 2022 Ukraine invasion when CHF strengthened. Key risk: Rapid risk-on reversal would unwind flows.”
Gaza War Enters Third Year Amid Israeli Political Turmoil
“Causal mechanism: Risk-off flows and France riots/curfews plus EU Black Sea naval proposal increase European uncertainty. Historical precedent: Similar to 2005 French riots when CAC fell 3%. Key risk: Rapid de-escalation in Ukraine would support EUR.”
US Depletes Missiles in Prolonged Iran War
“Causal mechanism: Risk-off liquidation cascades as geopolitical shocks dominate sentiment with no offsetting ETF inflows. Historical precedent: Similar to Feb 2022 Ukraine invasion when ETH dropped 12% in 48h. Key risk: Major stablecoin inflows would cap downside.”
DR Congo Ebola Outbreak Becomes Deadliest on Record
“Causal mechanism: Risk-off selling as geopolitical shocks trigger liquidation cascades with no offsetting ETF inflows. Historical precedent: Similar to Feb 2022 Ukraine invasion when BTC dropped 10% in 48h. Key risk: Large ETF inflows would stabilize price.”
Gaza War Enters Third Year Amid Israeli Political Turmoil
“Causal mechanism: Safe-haven flows into JPY from global geopolitical shocks and risk-off positioning. Historical precedent: Similar to 2022 Ukraine invasion when JPY strengthened. Key risk: BOJ intervention would limit upside.”
Tornadoes, Severe Storms Trigger Flash Floods in Northern Arizona
“Causal mechanism: Immediate safe-haven flows into USD as multiple geopolitical shocks (US-Iran war, Houthi pipeline attacks) trigger broad risk-off positioning. Historical precedent: Similar to Feb 2022 Ukraine invasion when DXY rose 1.2% in 48 hours. Key risk: Rapid de-escalation signals from Zelenskyy ceasefire proposals would unwind flows within hours.”
Gaza War Enters Third Year Amid Israeli Political Turmoil
“Causal mechanism: High-beta risk asset selling amplified by broader crypto liquidation from geopolitical shocks. Historical precedent: Similar to Feb 2022 when SOL fell more than BTC. Key risk: BTC stabilization would limit relative underperformance.”
Gaza War Enters Third Year Amid Israeli Political Turmoil
“Causal mechanism: High-beta tech stock sells off with broader risk assets during geopolitical stress. Historical precedent: 2022 invasion period saw META drop sharply. Key risk: Rapid sentiment reversal on positive news.”
Nepal Floods Leave 5000 Missing, 1455 Dead
“Causal mechanism: Broad tech and consumer discretionary selling amid risk-off sentiment. Historical precedent: 2022 Ukraine invasion saw AMZN drop ~4% initially. Key risk: Quick market stabilization on de-escalation.”
Nepal Floods Leave 5000 Missing, 1455 Dead
“Causal mechanism: High-beta altcoin amplifies broader crypto risk-off selling with no offsetting catalysts. Historical precedent: 2022 macro shocks saw AVAX drop over 15% in short periods. Key risk: Ecosystem-specific positive news or BTC stabilization.”
Nepal Floods Leave 5000 Missing, 1455 Dead
“Causal mechanism: Crypto risk-off selling with no regulatory catalyst in current events. Historical precedent: 2022 macro shocks hit XRP alongside broader market. Key risk: Positive regulatory clarity announcements.”
Nepal Floods Leave 5000 Missing, 1455 Dead
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