▶ Getting Started
Market Structure: 13 Levels of Capital Flow From Fed to Your P&L
Map the market structure hierarchy from the Fed to your P&L across 13 levels. See where capital enters, how orders route, and exactly where you sit.
Call, Put, Long, Short: The 2×2 Mental Model for Options
Call, put, long, short explained with one simple 2×2 mental model. Decode any option position in a single breath — right vs obligation, bullish vs bearish.
OptionStrat Guide: Visualize Options Strategies Before You Trade
OptionStrat is the go-to options visualizer for retail traders — risk graphs, break-evens, probability of profit, and scenario testing in one place.
How to Read an Option Chain: Strikes, Greeks & Expirations
How to read an option chain explained: decode strikes, delta, gamma, theta from a real AAPL snapshot, and discover who actually sets strike prices.
Options Leverage by Moneyness: ITM, ATM, OTM Fully Compared
Options leverage shifts dramatically across moneyness. Deep OTM gives 116x leverage with lottery-like risk; ATM is where day traders find the best balance.
Options Trading Cheat Sheet: 252 Terms by Priority Level
Master 252 options trading terms organized by priority level — from call/put basics to Greeks, implied volatility, and professional strategy jargon.
Pre-Order Checklist: From Novice to Pro Before You Place a Trade
A tiered pre-order checklist for stock traders — 3 checks for beginners, 5 gates for intermediates, and the full pro system before any scalp entry.
Backtesting a Trading Strategy: What the Results Actually Mean
Learn how backtesting a trading strategy works, what metrics matter, how to spot overfitting, and why out-of-sample validation is non-negotiable.
How to Read Stock Charts: The Systematic Trader's Framework
Learn how to read stock charts as a systematic trader — candlestick anatomy, support and resistance, trend structure, volume, and when to use each chart type.
Trading Bot Stale Data: Why It Happens and How to Fix It
Trading bot stale data causes bad fills and edge erosion. Learn why IEX feeds lag, how to detect staleness, and which data feed to upgrade to for your strategy.
What Is an API-First Trading Platform?
API-first trading platforms are built for automation from day one. That architecture determines which systematic strategies are even possible to run.
The Developer's Guide to Quantitative Trading
If you can write a function, you can understand quant trading. Finance concepts translated into software engineering terms — without the jargon or the hype.
Why CLI-First Trading Is the Developer's Competitive Advantage
GUI trading hides state, slows iteration, and treats automation as an afterthought. For developers, the CLI is not a preference — it is a structural edge.
CLI vs. GUI for Algo Trading — What You Lose When You Click
Every GUI click cannot be scripted, audited, or repeated exactly. For systematic traders, that is not inconvenience — it is structural friction that compounds.
Connecting Alpaca to Your Trading Strategy — A Developer's Guide
Authentication, market data streaming, order management, and error handling — everything needed to wire a trading strategy to Alpaca's API reliably.
Your First Live Trade via API — A CLI Tutorial with Alpaca
From authenticated API client to confirmed paper trade in under 50 lines of Python. The execution layer, demystified — before adding any strategy logic on top.
How Oyamori Works — A Technical Overview for Skeptical Developers
What does Oyamori do, how does it connect to your brokerage, and what happens when a trade goes wrong? Answers for developers who will not accept a black box.
How to Backtest a Strategy — And What the Numbers Actually Mean
Backtesting is not prediction — it is hypothesis testing. Here is how to run a backtest correctly and, more importantly, how to interpret the results honestly.
How to Monetize a Trading Algorithm
You built a validated trading algorithm. Monetizing it doesn't mean handing over the code or running a fund. Here's the model that lets you earn without either.
The Oyamori CLI Workflow — From Edge Selection to Live Execution
The complete Oyamori CLI workflow — selecting an edge, configuring risk, connecting your account, and running a live systematic trading strategy.
Paper Trading vs. Live Trading — How to Know When You're Ready
Paper trading and live trading feel identical until the moment they don't. A measurable framework for knowing when your strategy is ready for real capital.
Scheduling Trading Algorithms — Cron, Docker, and Serverless
Cron, Docker, and serverless — three approaches to scheduling a trading algorithm. Trade-offs, setup instructions, and when each breaks in production.
Setting Up Your Trading Development Environment
A reproducible Python trading environment from scratch — pyenv, core libraries, Alpaca API credentials, and a smoke test that confirms everything works.
From Trading Idea to Live Algorithm — The Complete Workflow
Most trading ideas die between hypothesis and deployment. This is the end-to-end workflow — from a market observation to a live, monitored systematic strategy.