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QQQ Is Lying to You
The Tech Schism · Part 1 of 4. The Nasdaq splits a 70% rally and a 17% drawdown down the middle and calls it +15%. The split is structural.
Jun 27
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K. Iyer
11
2
2
The Correction: Does Crypto Predict the VIX? Yes — But Not Profitably
This is a correction of my previous post
Jun 23
•
K. Iyer
6
Crypto’s Overnight Tell: Forecasting the VIX with Bitcoin and Ethereum
A 1% positive overnight return in Bitcoin or Ethereum predicts a 0.4% drop in the VIX during the next U.S. trading session. One signal, eight years of…
Jun 20
•
K. Iyer
10
2
1
0DTE Engine 4: When Not to Trade (II)
0DTE Part 6: Validated on Real Market Regimes + Actual Engine Mechanics
Jun 13
•
K. Iyer
12
2
3
0DTE Engine 4: When Not to Trade (I)
0DTE Part 5: The Regime Filter (VIX + Time, GEX on Probation)
Jun 6
•
K. Iyer
16
9
7
May 2026
0DTE: What the Pros Are Really Doing While Reddit Sells Iron Condors
0DTE Part 4 — Dispersion trades, correlation alpha, the GEX feedback loop, and why retail flow is the other side of an institutional trade
May 30
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K. Iyer
98
18
11
Four 0DTE SPX Trades I’d Make With $25K (And Two I Wouldn’t Touch)
Specific setups, exact dollar amounts, position sizing math, and the two popular trades that will blow up a small account
May 25
•
K. Iyer
32
8
7
I Added One Rule to My 0DTE SPX Strategy. It Cut Drawdowns in Half.
Post 99 — The missing piece from the Two-Engine 0DTE Strategy: selling the same number of contracts at VIX = 12 and VIX = 32 is the fastest way to blow…
May 22
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K. Iyer
23
4
4
Should You Add ML to Your Trading Strategy?
Part 4 of the Machine Learning Series — Head-to-head results, the hybrid that won, what actually gets deployed, and a decision matrix for whether ML…
May 21
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K. Iyer
10
1
The Most Expensive Bug in Quant Finance: How to Tell If Your Edge Is Real
Machine Learning Series Part 3: Walk-forward validation, the deflated Sharpe ratio, and why testing 20 features × 4 models means most of your…
May 21
•
K. Iyer
15
2
How to Use the ML for Trading Tools: A Labs Walkthrough
How-to article on the Feature Engineering Explorer, SHAP Explorer, and Tree Builder
May 13
•
K. Iyer
11
7
1
XGBoost Identified SHAP Values, Non-Linear Regimes, and VIX Reversal (2.2 Sharpe In-Sample; 0.15 Out-of-Sample)
Machine Learning Series Part 2: Why trees beat neural nets for trading
May 12
•
K. Iyer
14
2
1
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