Real-time geopolitical event analysis with AI predictions across 33 global assets — crypto, stocks, commodities, and forex. Updated every 5 minutes.
Catalyst is an AI-powered market intelligence engine that connects real-time geopolitical events to financial market movements across crypto, stocks, commodities, and forex.
Every 15 minutes, Catalyst's automated pipeline aggregates live event data from verified sources including USGS, NASA FIRMS, ACLED, and GDELT, alongside real-time price feeds from CoinGecko and Twelve Data. An AI reasoning engine then evaluates how current events may impact 28 tracked assets, producing specific directional calls with estimated impact ranges.
Unlike algorithmic prediction tools that rely solely on price history and technical patterns, Catalyst focuses on the fundamental drivers of market movements — the real-world events that cause prices to change. When Russia invaded Ukraine in February 2022, technical analysis could not predict the 30% oil spike or the 8% gold rally, but understanding the geopolitical transmission mechanism made these moves predictable. Catalyst applies this analytical framework automatically, in real time, across all tracked assets.
Each prediction includes a specific directional call, an estimated impact range (e.g., “-3% to -5%”), a confidence level based on the strength of the causal chain, and a timeframe for the expected move. Reports are published every five minutes for the trading community.
For every geopolitical event, Catalyst traces a clear causal chain: Event → Market Mechanism → Specific Asset Impact. For example, 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 specific market moves from that period as calibration points, scaling estimates based on the relative severity and scope. Confidence levels are assigned honestly — HIGH for direct first-order impacts, MEDIUM for second-order correlations, and LOW for speculative third-order effects.
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.
Compared to institutional platforms like Bloomberg Terminal ($24,000/year) or Recorded Future's threat intelligence platform, Catalyst delivers comparable geopolitical market intelligence at a fraction of the price. Our public prediction history — published as Catalyst reports — creates an auditable track record that institutional tools rarely provide.
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 performance page, where you can see how past predictions performed against actual market outcomes. View all published reports on the tracked assets hub.
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 28 assets across 5 asset classes: 10 cryptocurrencies (BTC, ETH, SOL, XRP, ADA, AVAX, LINK, MATIC, BNB, DOGE), 8 stocks (NVDA, AAPL, MSFT, TSLA, GOOGL, AMZN, META, TSM), 3 indices (S&P 500, Dow Jones, Nasdaq 100), 3 commodities (Gold, Silver, Oil), and 4 forex pairs (EUR/USD, USD Index, USD/JPY, USD/CNY).
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.
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.
Catalyst publishes all predictions as timestamped reports, creating a verifiable track record. You can review historical prediction accuracy on the Catalyst performance page. Accuracy varies by asset class and market conditions — direct first-order impacts (e.g., oil spikes from supply disruptions) tend to be more reliable than speculative third-order effects.
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: Geopol escalations (Iran sanctions, Mali, Trump plot) spark risk-off liquidation cascades in crypto. Historical precedent: Feb 2022 Ukraine invasion dropped ETH -12% in 48h. Key risk: crypto reviews spark retail buying frenzy. Calibration-adjusted range (ETH 60% accurate, 1.6x overest).”
Israel-Lebanon Ceasefire Extended Amid Tense Negotiations
“Causal mechanism: Spillover risk-off sentiment from US sanctions freezing Iran-linked crypto triggers broad crypto liquidation cascades, amplified by thin weekend liquidity. Historical precedent: Similar to 2018 US sanctions on Iran when crypto assets like BTC fell 20% in a month, SOL as high-beta alt followed sharply. Key risk: rapid de-escalation in Hormuz talks shifts flows back to risk-on.”
Gaza War Escalates with $10B Rebuild Cost Amid Aid Blockade
“Causal mechanism: Iran sanctions and Israel incidents tighten supply fears via Strait risks. Historical precedent: 2018 Iran sanctions +20% in 3m, +3% initial. Key risk: Iraq PM stability caps gains. Calibration: 62% accurate, reduced 43.5x overest.”
US-Iran Tensions Escalate, Driving Up Global Oil Prices
“Causal mechanism: Cluster of geopol risks (Iran sanctions, Mali attacks, US probes) triggers algo-driven risk-off selling. Historical precedent: 2022 Ukraine invasion dropped BTC -10% in 48h. Key risk: crypto exchange reviews ignite sentiment rebound. Calibration: 55% accurate, reduced 9.2x overest range.”
Israel-Lebanon Ceasefire Extended Amid Tense Negotiations
“Causal mechanism: US-centric risks (Trump plot, scientist probes, Iran sanctions) boost USD safe-haven status. Historical precedent: 2011 Giffords event lifted USD +1% in 24h. Key risk: global de-escalation shifts to EM flows. Calibration: adjust low 22% accuracy.”
US-Iran Tensions Escalate, Driving Up Global Oil Prices
“Causal mechanism: Risk-off from geopol (Ukraine buildup, Mali) weakens EUR via EM contagion fears and safe-haven USD/JPY strength. Historical precedent: 2014 Crimea buildup dropped EUR -1% in 48h. Key risk: Lebanon de-escalation boosts regional sentiment quickly.”
Israel-Lebanon Ceasefire Extended Amid Tense Negotiations
“Causal mechanism: Multiple risk-off events (Mali, Trump plot, weather disruptions) spark broad selling. Historical precedent: 2011 Giffords shooting dropped SPX -2% next day. Key risk: defense sector rotation limits downside. Calibration: 31% accurate.”
Israel-Lebanon Ceasefire Extended Amid Tense Negotiations
“Causal mechanism: No direct link; minor risk-off contagion from SPX. Historical precedent: 2022 Ukraine had minimal TSM impact initially. Key risk: Ukraine buildup indirectly aids semis via defense.”
US-Iran Tensions Escalate, Driving Up Global Oil Prices
“Causal mechanism: Geopol cluster (Mali, Iran, Israel) triggers safe-haven inflows to CHF as neutral European haven. Historical precedent: 2019 US-Iran Soleimani strike lifted CHF +1% in 24h. Key risk: ceasefire extension dominates headlines, unwinding haven bid.”
Israel-Lebanon Ceasefire Extended Amid Tense Negotiations
“Causal mechanism: Border incidents and Iran sanctions favor RTX missile systems. Historical precedent: 2019 Iran strike RTX +4% 48h. Key risk: weather unrelated drag.”
US Probes Scientist Disappearances and Global Crime Rings
“Causal mechanism: Mali attacks and Iran tensions drive safe-haven buying. Historical precedent: 2012 Mali coup lifted gold +3% week. Key risk: de-escalation sells haven. Calibration: low 24% adjust narrow.”
US-Iran Tensions Escalate, Driving Up Global Oil Prices
“Causal mechanism: Multiple attacks (Mali jihadists, Israel firing) elevate missile/defense demand. Historical precedent: 2006 Hezbollah NOC +6% initial. Key risk: Japan reforms dilute US focus.”
US Probes Scientist Disappearances and Global Crime Rings
“Causal mechanism: Geopol escalations (Mali, Ukraine, Israel) boost defense spending expectations. Historical precedent: 2022 Ukraine rallied LMT +5% week. Key risk: budget cut signals.”
US Probes Scientist Disappearances and Global Crime Rings
“Causal mechanism: Risk-off from multiple geopolitical escalations (Mali attacks, Israel incidents, Iran sanctions) boosts JPY safe-haven demand via yen carry unwind. Historical precedent: 2019 US-Iran tensions spiked JPY +2% intraday. Key risk: swift de-escalation in Middle East reduces safe-haven flows immediately.”
Severe Weather Warnings Disrupt Midwest US Markets
“Causal mechanism: SPX risk-off spills to tech via positioning. Historical precedent: 2022 Ukraine dropped GOOGL -5% initial. Key risk: ad revenue resilience.”
US-Iran Tensions Escalate, Driving Up Global Oil Prices