Generational run.

$BTC $ETH $BNB $SOL $POLY 🤔

We are excited to announce that Intercontinental Exchange (ICE) — the parent company of @NYSE, is making a $2b strategic investment at a $9b post-money valuation. Together, we’re building the next evolution of markets. A special thank you to all those who have supported us till now. This is just the beginning 🦅🔮

The federal government is in a shutdown. Only vital services will continue, such as Social Security payments, mail delivery, and the prosecution of political enemies.

The prediction market supercycle is in full effect if you haven’t noticed.

believe in polymarket szn polymarket is consistently leading the prediction markets space rn

Imagine explaining to someone in 2019 that one of the hottest startup verticals in 2025 would be “apps built on Polymarket.”

The Polymarket Builders’ ecosystem is exploding in popularity. Over 116 projects across 14 categories… which are your favorite?

We need CoinGecko for Prediction Markets: - Discoverability is a mess on Prediction Markets today. Too many markets being created and resolved everyday. It's hard to parse through so much information - Filtering and Sorting are not enough. Users need customised feeds tailored to their preferences and trading history - Users need to be able to easily create multiple watchlists Watchlists should update smartly e.g. If you have a $BTC weekly price prediction market in your watchlist, your watchlist will automatically add the next week's market and remove the previous one after resolution - Users should get more streamlined data which gives them all the relevant market info (Price changes, volume, liquidity) in one line

Prediction Markets need Modern Portfolio Theory (MPT) TLDR: - Modern portfolio theory showed investors how to balance assets by correlation, not just returns. - Prediction markets don't yet have that toolkit. - Event parlays, correlation matrices, and portfolio-level hedging could change that. 1. Covariance Killed Stock Picking Before the 1950s, investing was mostly stock-picking. Traders focused on individual names, chasing absolute returns. Then Harry Markowitz introduced Modern Portfolio Theory (MPT). His key insight: what matters is not just return, but how assets move together. - Mixing low or negatively correlated assets reduced volatility without cutting returns - This gave rise to the efficient frontier: the maximum return for a given level of risk The impact was massive: - Asset allocation - Risk management - Entire industries like mutual funds, ETFs, and risk-parity Finance evolved from stock-picking to true portfolio construction. 2. Independence Is a Mirage Prediction markets today resemble finance before MPT. Each contract is priced and traded in isolation: (1) Will Candidate X win? (2) Will inflation exceed 3 percent? (3) Will Bitcoin trade above $100k? A trader might hold many contracts, but there is no structured way to manage a portfolio of beliefs. The following position are tightly linked, yet markets treat them as separate risks. - Trump wins presidency - Republicans win Senate The same is true in macro. These markets are correlated, but traders lack tools to size or hedge across them. - Fed cuts by September - Unemployment above 5 percent The result is stacked exposures, shallow liquidity, and ad hoc hedging. 3. Toward Event-Level Hedging Prediction markets could borrow directly from MPT: (1) Parlay Engines: Traders combine events into a single position (“Republicans win Senate and Trump wins presidency”), unlocking multi-leg exposure similar to sports betting but with institutional liquidity. (2) Correlation Matrices: Platforms publish co-movement data for events such as state races versus presidential outcomes or inflation versus rate cuts, giving traders visibility into overlapping risks. (3) Portfolio Dashboards: Instead of seeing isolated bets, traders view exposures on a “belief frontier,” plotting expected return against variance and enabling systematic rebalancing. (4) Synthetic Hedges: Market makers create structured products such as going long a basket of state elections while shorting the national outcome, similar to long-short sector plays in equities. These tools would let traders manage prediction exposures the same way investors manage equities or bonds: not as one-offs, but as a portfolio. 4. Why It Matters Without correlation hedging, prediction trading remains shallow and retail-focused. With it: > Liquidity improves because market makers can offset correlated exposures instead of pulling out. > Institutional capital enters because hedge funds think in terms of risk buckets and cross-hedges, not isolated punts. > Innovation multiplies through volatility spreads on probabilities, ETFs of events, and conditional baskets. 5. The Markowitz Engine, Please Who will build the first portfolio engine for event risk? The platform that turns raw event contracts into correlated portfolios will do for prediction markets what Markowitz did for investing.

It's time.