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Oct 9, 2025 10:16 PM

Quant explains how to actually get rich quick

SUMMARY

A quant trader demystifies insider trading's gray areas and reveals how unregulated prediction markets like Polymarket enable legal insider bets for rapid, low-risk profits.

STATEMENTS

  • Insider trading occurs in everyday scenarios, such as real estate sellers offloading properties before public knowledge of declining values like Section 8 housing influxes.
  • During the early COVID-19 outbreak, individuals with connections in Wuhan shorted U.S. markets after learning the virus's severity from non-transparent CCP sources.
  • Pre-9/11 trading showed unusual put options on American and United Airlines, with volumes 10 times higher than calls, suggesting informed bets by associates of those involved.
  • Morgan Stanley and Citigroup, tenants in the World Trade Center, experienced over 45 times normal trading activity before 9/11, indicating insider exploitation.
  • Prediction markets like Polymarket and Kalshi allow anonymous insider trading via Polygon wallets, evading easy detection by regulators.
  • Businesses behind prediction markets encourage insider trading to enhance forecast accuracy, aligning with their goal of selling premium data to institutions.
  • Polymarket's model prioritizes liquidity and volume over immediate fees, aiming to rival Bloomberg by offering predictive data through subscriptions and APIs.
  • Insider activity in prediction markets can signal real-world events, enabling arbitrage between these bets and traditional stocks, like corporate earnings outcomes.
  • Prediction market operators balance market integrity to attract liquidity providers while welcoming insiders to refine predictions for valuable data sales.
  • Anyone can create custom prediction markets on platforms like Polymarket to monetize workplace insider knowledge, such as upcoming product redesigns.

IDEAS

  • Everyday people engage in subtle insider trading without realizing it, from real estate flips to pandemic shorts based on personal networks.
  • Historical events like 9/11 reveal massive, undetectable insider profits through anomalous trading patterns dismissed as coincidences by official reports.
  • Prediction markets thrive on anonymity and lack of regulation, turning insider information into a feature rather than a bug for platform growth.
  • A Super Bowl streaker's $50,000 bet netted over $300,000 by self-fulfilling the prediction, highlighting how individuals can manipulate outcomes legally.
  • Taylor Swift's engagement market on Polymarket shifted dramatically due to anonymous insider bets, proving even celebrity events are exploitable.
  • HBO documentary insiders likely bet on its Bitcoin conclusion outcome, as betting patterns aligned perfectly with the final reveal.
  • Prediction platforms' true revenue isn't trading fees but selling hyper-accurate forecast data to hedge funds and governments via high-cost APIs.
  • Insider trading boosts prediction market accuracy, creating arbitrage opportunities, like betting on earnings surprises to front-run stock movements.
  • Governments could subscribe to prediction data for strategic foresight, such as Taiwan invasion odds, mirroring Palantir's intelligence model.
  • Tools to track "whale" bets in illiquid markets can identify insiders over 50% of the time, allowing retail traders to piggyback for profits.
  • Unregulated phases of new markets, like early futures or ride-sharing, reward bold actors who exploit gray areas before rules solidify.
  • Creating personal prediction markets lets workers monetize niche knowledge, like Tesla redesigns, by trading against incoming liquidity.

INSIGHTS

  • Insider trading's ubiquity underscores how information asymmetry drives markets, but prediction platforms institutionalize it to commodify foresight.
  • Anonymity in blockchain-based betting erodes traditional enforcement, shifting power to those with timely knowledge over regulatory oversight.
  • Platforms' tolerance of insiders reveals a meta-strategy: accuracy from privileged info trumps fairness, fueling data as the ultimate asset.
  • Arbitrage between prediction and real markets amplifies insider edges, turning speculative bets into predictive signals for algorithmic trading.
  • Early adoption in unregulated spaces mirrors entrepreneurial disruption, where forgiveness over permission captures outsized gains before normalization.
  • Piggybacking detected insider patterns democratizes elite information access, blurring lines between retail and institutional advantage.

QUOTES

  • "Most people don't realize what a gray area insider trading is."
  • "There's just no way to catch them."
  • "These prediction markets, their true value comes in accurately being able to forecast the future."
  • "They need insider trading to make their prediction markets more accurate."
  • "Don't ask for permission. Ask for forgiveness."

HABITS

  • Maintain connections with insiders from diverse networks, like family abroad, to access early signals on global events for timely trades.
  • Monitor unusual trading volumes and put-call ratios in stocks tied to major events to spot hidden insider activity.
  • Create anonymous wallets on platforms like Polygon for all betting to ensure untraceable participation in prediction markets.
  • Regularly scan for custom market creation opportunities using personal or workplace knowledge to initiate profitable bets.
  • Track whale betting patterns in illiquid markets with custom tools to identify and follow high-confidence insider moves consistently.

FACTS

  • Pre-9/11 put options on American and United Airlines saw trading volumes 10 times higher than calls, targeting only those hijacked carriers.
  • Morgan Stanley and Citigroup had 45 times their usual trading activity in the days before 9/11, linked to their World Trade Center offices.
  • A Super Bowl streaker bet $50,000 and profited over $300,000 by running onto the field, self-fulfilling the prediction.
  • Polymarket accurately forecasted Donald Trump's 2024 presidency win better than traditional polls, influencing stock market reactions.
  • Over 50% of bold, market-moving bets by new accounts in prediction markets result in wins, exceeding random 50/50 odds.

REFERENCES

  • Polymarket (prediction market platform for anonymous betting).
  • Kalshi (regulated prediction market alternative).
  • Bloomberg Terminal (data provider for institutional forecasting, with subscription models and delayed feeds).

HOW TO APPLY

  • Identify your insider knowledge from work or networks, such as upcoming product changes at your company, and check if a related prediction market exists on Polymarket.
  • If no market matches your info, create a custom one by proposing the event on the platform, allowing liquidity to build as market makers enter.
  • Place anonymous bets using a Polygon wallet once volume appears, trading confidently against the initial odds to capture value from your edge.
  • For those without direct access, collaborate with friends possessing insider info by agreeing on profit splits and executing trades on their behalf.
  • Develop or use tracking tools to monitor new accounts making large, directional bets in illiquid markets, then piggyback by mirroring their positions.
  • Analyze resolved markets for patterns, refining your strategy to exploit arbitrage links between prediction outcomes and traditional stock movements.

ONE-SENTENCE TAKEAWAY

Leverage unregulated prediction markets' tolerance for insider trading to profit from information edges before regulations close the gray-area opportunities.

RECOMMENDATIONS

  • Build networks with potential insiders across industries to source timely, non-public information for prediction market bets.
  • Invest time in learning blockchain anonymity tools like Polygon wallets to participate undetected in emerging betting platforms.
  • Prioritize creating or joining markets on high-impact events, such as elections or earnings, where insider signals yield the biggest arbitrages.
  • Use custom scripts to detect whale patterns in real-time, turning passive observation into active, low-risk piggyback trading.
  • Stay ahead by treating prediction data as a subscription asset, integrating it into personal algorithms for cross-market edges.

MEMO

In the shadowy underbelly of finance, where information is currency, a quantitative trader known as Lit Nomad pulls back the curtain on insider trading's pervasive reality. Far from the sterile boardrooms of Wall Street, he argues, it's woven into daily life—from real estate hustles dodging Section 8 influxes to familial whispers from Wuhan shorting U.S. stocks amid COVID's dawn. Even cataclysmic events like 9/11, he contends, bore the hallmarks of undetectable windfalls: anomalous put options surging 10-fold on the doomed airlines, and tenants like Morgan Stanley trading 45 times above normal. Official probes dismissed these as coincidences, but Nomad sees a pattern of elite exploitation thriving in the gaps of enforcement.

Enter prediction markets, the Wild West of wagering on the future. Platforms like Polymarket and Kalshi, built on blockchain anonymity, invite what traditional exchanges criminalize. Nomad recounts a Super Bowl streaker who pocketed $300,000 from a $50,000 self-made prophecy by dashing across the field—bragging his only undoing. Taylor Swift's engagement odds swung wildly from an unseen insider's bets, while HBO insiders likely tipped the scales on a Bitcoin documentary's verdict. These aren't aberrations; they're the blueprint. Unregulated by the SEC or CFTC, these markets shield identities via simple Polygon wallets, rendering pursuit futile.

At their core, Nomad explains, these platforms aren't mere casinos—they're oracles in waiting. Forgoing fees to swell volumes, they eye Bloomberg's throne: selling prescient data to hedge funds and governments. Polymarket's edge in calling Trump's 2024 win hints at the prize—live APIs for algorithmic feeds, arbitrage between bets and stocks, even Taiwan invasion odds for Pentagon strategists. Insiders sharpen this blade; without them, predictions dull. Operators tread a tightrope, feigning integrity to lure liquidity providers while courting the informed to hone accuracy, all without a whisper against it in the fine print.

For the ambitious everyman, opportunity knocks. Nomad urges mining personal silos—Tesla engineers betting on redesigns via custom markets, or friends splitting spoils from corporate whispers. Lacking edges? Shadow the whales: code trackers flag new accounts bulldozing illiquid odds, winning over half the time. This gray dawn echoes futures' unruly birth or Uber's regulatory sprint—fortunes forged asking forgiveness, not permission. As integration with stocks looms, Nomad warns, the window narrows; savvy players must seize it now, before the sheriffs arrive.

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