◈ Trading Edges
Open Interest Explained: How to Read Futures and Options Positioning
Open interest explained — what OI means, how it differs from volume, and how to read price and OI together in futures and options to spot real positioning.
Oyamori Contract Score™: The Greek Efficiency Method for Options
Oyamori Contract Score™ ranks options contracts by Greek efficiency: normalize Delta, Gamma, Theta, and Vega to 0–100, then weight by GammaTheta Ratio.
Trend-Filtered DCA vs Standard DCA: The Calmar Ratio Test
Trend-filtered DCA exits to cash when EMA(10) turns bearish, then redeploys in a lump sum — cutting max drawdown from 52% to 19% at the cost of 0.8% CAGR.
0DTE Scalping Tickers: The 7 Most Liquid Underlyings Ranked for Speed
0DTE scalping tickers ranked by spread, gamma, and best window — SPY, QQQ, SPX, IWM, TSLA, NVDA, AAPL — for the very-short scalper who lives on fills.
Open Interest in Options: How Traders Use OI to Read the Market
Open interest reveals how many active options contracts exist, giving traders a direct read on conviction, positioning, and where institutional money flows.
Options Flow Trading Strategies: 5 Playbooks That Use Unusual Activity
Options flow signals where institutional money moves — these 5 playbooks show exactly how traders turn unusual activity into high-conviction entries with defined risk.
Volume vs Open Interest: Powering an Options Alert Scanner
Volume vs open interest in options: the ratio that flags unusual activity, plus a scoring engine that ranks contracts into three alert tiers automatically.
Options Flow: Reading the Smart Money Signal
Options flow tracks real-time institutional options orders — large premiums, sweeps, and dark pool prints that reveal where Smart Money is placing bets before price moves.
Options Price Target Timing: 11 Methods to Estimate When Price Arrives
Options price target timing has 11 quant methods — from Black-Scholes 1σ time to Monte Carlo. This guide maps which engine fits your asset, horizon, and data.
Trendlines: Reading Market Direction with Diagonal Lines
Trendlines reveal market direction by connecting swing highs or lows with a diagonal line. Learn to draw, read, and trade uptrends, downtrends, channels, and reversals with chart examples.
Options Chain API: AlphaVantage vs Alpaca for Quant Traders
Options data API comparison: AlphaVantage provides 15 years of history; Alpaca gives live greeks, OI via contract endpoint. Real AAPL and SPY data compared.
Cross-Exchange Crypto Arbitrage: Real Math, Real Friction, Real Edge
Cross-exchange crypto arbitrage between Binance, Kraken, and Bitkub promises risk-free profit. The real math on fees, slippage, and withdrawal costs tells a different story.
Gap and Go Strategy: A Systematic Edge in the Opening 30 Minutes
The gap and go trading strategy turns pre-market momentum into a structured intraday edge. Learn the qualification criteria, entry rules, and backtested stats.
Price Action Trading: Structure, Conviction, and When It Lies
Price action reads structure — but structure can be faked. Ten real manipulation scenarios plus the mental model for scalp, day trade, and swing timeframes.
Market Data for Algo Traders: IEX, NBBO, and SIP
What every algorithmic trader must know about US market fragmentation — why IEX-only feeds break scalp bots and how NBBO and SIP data change execution.
US Stock Trading Lifecycles: Scalper vs. Daily Trader vs. Options Trader
How scalpers, daily traders, and options traders each enter, manage, and exit positions — with win rates, capital requirements, and time-at-screen compared.
Algorithmic Trading Without a Hedge Fund
Quant infrastructure once required institutional AUM and a fund structure. Here's what changed, what's now accessible to retail investors, and what hasn't gotten easier.
Gap Trading Strategy
Gap trading turns overnight news into a morning signal — stocks that gap on volume exhibit predictable short-term behavior that a prepared algo can exploit.
How to Find Your Trading Edge
Finding a trading edge starts with a testable hypothesis, not a backtest. Here's the systematic process for discovering a genuine market inefficiency.
The Hugging Face for Trading Strategies
Hugging Face built a model hub that democratized AI. Trading strategies need the same model: shared, vetted, executable. Here's what that category looks like.
Mean Reversion Explained
Mean reversion is one of the most persistent market phenomena — and one of the most misunderstood. Here's how price reverts, why it works, and how to code it.
Momentum + Volume: The Edge That Works in Trending Markets
Momentum trading without volume confirmation is noise. Here is why volume makes momentum signals tradeable and how to build the filter in Python.
Options Theta Decay Strategy
Theta decay puts time on the seller's side — every day options lose value you never bought. Here's how to harvest it without getting steamrolled.
Order Flow Imbalance
Order flow imbalance signals price direction before the chart shows it. Here is how to build a usable proxy from Level 1 data and where the edge decays.
The Oyamori Edge Catalog
A structured inventory of validated market inefficiencies — what each edge exploits, when it performs, and how long positions typically hold.
Pairs Trading Explained
Pairs trading profits from temporary divergences between correlated assets, market-neutral by design. Here is how cointegration makes it work in practice.
Sector Rotation: Following Institutional Money
Sector rotation moves predictably through economic cycles as institutional capital reallocates. Here is how to follow that flow systematically with Python.
Statistical Arbitrage for Retail Traders
Statistical arbitrage exploits temporary divergence between correlated assets. Here's the mechanics, the limits, and a Python implementation for retail scale.
Strategy as a Service Trading
Strategy as a service separates trading logic from capital. Investors access proven algorithms on subscription without code ownership, fund minimums, or custody transfer.
What Is a Trading Strategy Marketplace?
A trading strategy marketplace lets investors access proven algorithmic strategies without building from scratch. Here's how it works and why it changes retail quant trading.
Volatility Skew Trading
Volatility skew exists because institutions pay a structural premium for downside protection. Here is how to measure it and harvest it systematically.
What Is a Trading Edge?
An edge is a repeatable market condition where the odds tilt in your favor. Most investors trade on hope. Here's the difference — and how to find one.