Quant X Tribe (Next Level)

See you at 7.30pm!!

Hey Quant X Tribe, see you later at 7.30pm sharp! https://zoom.us/meeting/register/hl--V5FNTCSbVEbSqY2myQ#/registration

🧠 From Intuition to Algorithms: What Exactly Is Quant X Club? Most retail investors still trade on instincts, headlines and hope. At Quant X, we believe the future belongs to systems, not feelings. Quant X Club is where everyday investors learn to think like quants: no hype, no guesswork and no coding required. Inside, 3,000+ of our members are: 📊 Studying rule-based systems ⚙️ Testing + deploying real strategies 🧪 Seeing what works (and what doesn’t) 🙋 Guided weekly by our CIO & Fund Manager Glen Ho & Special Guest Sharing by Founder & Sponsor of Quant X Club, Sean Seah, now Portfolio Manager of the Alpha Quant Index If you’re ready to upgrade how you invest: 👉 Follow us on LinkedIn 👉 Read the full post + discover how to enter the Club: https://www.linkedin.com/feed/update/urn:li:activity:7417025790510284800 To your growth, Team Quant X — Where Data Becomes Alpha

Alpha Trading Cup Kick-Off 🚀 This Thursday, we’ll show you step by step how to build and run a trading robot in MT5. No coding. No jargon. Just a clear process you can follow. 🗓 15 Jan | Thurs | ⏰ 7:30pm 👉 Register: https://zoom.us/meeting/register/hl--V5FNTCSbVEbSqY2myQ

⚡️ Anti-Blackbird: What We Use When Markets Refuse to Behave Hey Quant X Tribe, We were on Zoom, training through Blackbird, when one of our Quant X Club members sent in a trade he had just built on the spot. Different structure. Opposite logic. Instead of betting on quiet markets, this setup only works when price moves hard. Same options toolbox. Completely inverted intent. We call this idea Anti-Blackbird. 🌪 Built for expansion 📈 Designed for movement 🧩 A portfolio complement — not a replacement We broke down the full concept (and why it matters for portfolio thinking) in today’s newsletter. 👉 Click here to read now To your growth, Team Quant X — Where Data Becomes Alpha

🚨 Before Alpha Trading Cup Starts (15 Jan) Gold (XAUUSD) just ran from ~$2,600 → $4,400 in a year. Huge move. Yet most traders still struggled. Why? Because volatility breaks execution if you don’t understand the market environment. That’s why, before Alpha Trading Cup begins, we’re inviting you to a premium partner session this Monday. 📅 Next Level Academy Genesis Enhanced Masterclass 🗓 Monday, 12 Jan 2026, 7.30pm You’ll learn: - How professionals interpret price in high-volatility markets - How to spot structure that can later be systemized - How to approach gold with rules, not reactions This is not about manual trade calls. It’s about preparing for systematic execution. 👉 Register here (12 Jan) ⏳ Final prep before execution begins.

🖤 Riskless Options? Sounds Fake — Until You See This Payoff Blessed New Year 2026, Quant X Tribe. We’re kicking off the year with a structure that made us pause and double-check the payoff graph. Same iron condor idea. One structural change. And at expiry… the loss zone disappears. Instead of guessing direction, this setup reshapes the payoff itself — profit varies, but there’s no red zone on the expiry graph. We call this structure Blackbird. 🛩 Quiet. 🧠 Engineered. 📐 Structure over prediction. We broke down the full concept (with visuals) in today’s newsletter — plus there’s a New Year gift at the end for those who want to go deeper. 👉 Click here to read now To your growth, Team Quant X - Where Data Becomes Alpha

🤖 Build a Robot That Trades for You Hey Quant X Tribe! Ever noticed this pattern? You know your setup. You know your rules. But somehow you still: • hesitate • enter late • exit early • or don’t take the trade at all Then you watch it work… without you 😮‍💨 We’ve been there too. The painful truth we learned: 👉 The problem wasn’t the market. 👉 It was manual execution. That’s why we stopped trying to be “more disciplined” — and started building a system instead. A trading robot isn’t AI magic. It’s simply: • your rules • your risk • your logic …executed without emotion. If you want 2026 to be the year you stop screen-watching and second-guessing, we’ll show you step by step how to build your own trading robot using the B.O.T system. 👉 Click here to register now! To your growth, Team Quant X - Where Data Becomes Alpha

2 Jan 2026 — a quick reflection for investors. 2025 didn’t break markets — it exposed portfolios. Many investors went into last year relying on one main engine: equities, a favourite sector, or a single strategy that worked before. But as markets rotated, returns became patchy, timing got harder, and many “diversified” portfolios started moving together when volatility picked up. It became clear that relying on just one way to make money leaves very little room for error. That’s why we’re flagging Invest360 (Turning Knowledge into Real Wealth) — a session focused on building a more balanced, multi-asset portfolio that can carry through different market cycles. You’ll also hear from our Founder & Sponsor of Quant X Club, Sean Seah — now Portfolio Manager of the Alpha Quant Index — sharing how systematic, data-driven investors think about portfolio construction going into 2026. If you’re actively investing this year, this is worth a listen. 👉 Register here: https://www.togethernextlevel.co/invest360?utm_source=sean

Precious Metals Volatility: What GARCH Models Tell Us for 2026 With precious metals showing elevated IV heading into year-end, I ran a GARCH(1,1) analysis on Gold, Silver, Platinum, and Palladium. Methodology: 500+ days of data | GARCH(1,1) with Student-t distribution | 30-day volatility forecasting Key Findings: Two Volatility Clusters: Monetary metals (Gold ↔ Silver): 0.55 correlation Industrial PGMs (Platinum ↔ Palladium): 0.58 correlation Current Regime vs Long-Run: - Gold: 0.85x (calm) - Silver: 1.26x (elevated) - Platinum: 2.39x (very high) - Palladium: 2.12x (very high) Persistence (based on models): Silver: 50-day half-life → Will PERSIST into Q1 2026 Platinum/Palladium: 2-3 day half-life → Rapid normalization expected Takeaway: Not all "high IV" is equal. Platinum & Palladium spikes should normalize within 2 weeks. Silver's elevated volatility may persist through Q1 2026. Disclaimer: Educational purposes only. Not financial advice. GARCH models are backward-looking with inherent limitations.

Hey Quant X Tribe, Tonight, we’re putting two very different money philosophies head-to-head. Eric Chiew believes in Bricks — property, leverage, patience, tangible assets. Sean Seah believes in Data — markets, probabilities, systems, numbers that don’t lie. Same year. Same market environment. Very different approaches. So the question is simple: Who actually made the most in 2025? And the more uncomfortable question: Which approach is better positioned for 2026? Tonight, they won’t just share results — they’ll argue their case: - Why their approach worked - What the other side gets wrong - How they’re planning their next moves You don’t need to pick a side. But you should listen — because the way they think might change how you plan your own money. 📅 Tonight 🕗 8–9 PM (GMT+8) 📍 Click here to join Come watch the clash. Then decide what makes sense for you. To your growth, Team Quant X - Where Data Becomes Alpha

They say history doesn’t repeat, but it rhymes. 📉 In 1929, Joseph P. Kennedy Sr. saw the crash coming when everyone else was chasing hype. While the world panicked, he pivoted—and built a fortune that lasted generations. Fast forward to 2025: Tariffs are at 17.9%, volatility is back, and the crowd is confused.  You don’t need a crystal ball to survive this market. You need a probability model. 🧠 In our latest video, we break down: ▪️ The specific mindset Kennedy used to beat the Depression. ▪️ Why "0DTE" is the modern equivalent of his strategy. ▪️ The "Tony Stark Rule" for risk management. Stop trading the headlines. Start trading the math. 🎬 Watch our latest video here! To your growth, Team Quant X Where Data Becomes Alpha

🎅 80% Win Rate. 1.3% Avg Gain. The "Real" Rally. Markets are sliding and the Fed is hawkish. But is the year-end rally dead? No. You’re just looking at the calendar wrong. Don't panic over the mid-December red candle. Historical data shows the S&P 500 posts positive returns 80% of the time during a specific 7-day window that hasn't started yet. We broke down 75 years of market data to find the exact dates where the edge exists. Inside: • The exact dates for the "Santa Window" (Hint: We aren't there yet). • Why Gold is screaming "Buy" while Tech bleeds. • How to position for the final trading days of 2025. 👉 READ FULL ARTICLE HERE To your growth, Team Quant X Where Data Becomes Alpha

🐉 NEW STRATEGY DROP — Night Fury We tested 13,120 earnings trades over 17 years. Three straddle timings were studied. Only one actually worked. Not direction. Not prediction. Timing. This is the Night Fury Strategy — fast, precise, active only during the earnings window where volatility truly shows up. Inside the full breakdown: • Why most earnings trades fail • The only timing window with positive expectancy • Real stats: win rate, drawdowns, and why sizing matters • How quant traders think about strategies like this 👉 Read the full newsletter here To your growth, Team Quant X Where Data Becomes Alpha

2026 Outlook scenarios Source: J.P Morgan Global Economics Whats your take?

Blackrock's Bitcoin ETF has a Death Cross for the first time ever since it launched. Death Cross = 50 days Simple Moving Average crossing below 200 Days Simple Moving Average. What's your take on this? Disclaimer: This post is for informational and educational purposes only and does not constitute financial advice. All investing decisions involve risk. Please do your own research before acting on any information shared.

📉 The Bedroom Billionaire Who Broke the Market (Literally) Most traders lose money trying to “figure out the market.” NAV? He made £1 million from a bedroom…then unintentionally helped crash the entire U.S. stock market. No hedge fund. No Wall Street access. Just a hoodie, FIFA reflexes and a homemade algorithm that freaked out billion-dollar bots. This week’s video covers one of the wildest ever young trader who… - made millions from his parents’ bedroom, - reverse-engineered market-maker behaviour just by watching the ladder, - then built a tool that confused billion-dollar algorithms until it accidentally contributed to a $1 trillion flash crash. 🎥 See how he did it: https://youtu.be/o0mLbYp0rhM?si=TFUYCmT2RddRTnwf To your growth, Team Quant X Where Data Becomes Alpha

Market Performance in Past Fed Easing Cycles Equities: Relief Rally or Bear Trap? Equity markets have often cheered the start of Fed easing – but the durability of those gains depends on the broader economic outcome. On average, U.S. stocks have delivered solid returns following the first Fed rate cut in a cycle. One study found that since the mid-1980s, the S&P 500 returned over 13% on average in the 12 months after the Fed began cutting Stocks have outperformed bonds and cash on average in the year following an initial Fed rate cut. However, this average masks a wide range of outcomes. The critical factor is whether the economy avoids recession. When rate cuts were part of a successful “soft landing” (no recession), equities saw strong and sustained gains; for instance, after the Fed’s mid-cycle cuts in 1995 and 1998, the S&P 500 surged in the following year. In contrast, when rate cuts coincided with an oncoming recession, stocks typically experienced significant downside. During the 2001 easing cycle, equity markets fell into a deep bear market (as the dot-com bust and 9/11 shock hit), and in 2007–2008, the Fed’s aggressive cuts did not prevent the 2008 financial crisis – the S&P 500 dropped by nearly 40% at one point during that period. These divergent scenarios explain why the equity return pattern post-cut is so variable. Empirical analysis confirms this split: absent a recession, stocks tend to perform quite well as borrowing costs decline, but when cuts are “too late” and a recession unfolds, equities often post negative returns in the ensuing year. It’s also worth noting what kinds of stocks lead or lag during easing cycles. Historical data shows no ironclad sector rotation rule, but there have been some tendencies. Growth stocks have, on average, outperformed value stocks after the Fed begins cutting rates. Disclaimer: This post is for informational and educational purposes only and does not constitute financial advice. All investing decisions involve risk. Please do your own research before acting on any information shared.

🚀 NEW STRATEGY REVEAL — Aether GT A 10-minute-a-month system that pays you even when your stocks fall. Most investors have never heard of it… but once you understand how it works, you’ll never see the market the same way again. We break it down in simple English — why it works, how time decay pays you, and why we named it after an F1 car. This one is worth reading. 👇 👉 Full article: https://newsletter.alpha-techlab.com/p/this-strategy-pays-you-every-month-even-when-your-stocks-fall To your growth, Team Quant X Where Data Becomes Alpha