Drogo Research
Quantitative editorial team
Drogo Research is the editorial collective behind the public-facing learn, methodology, and screener pages on terminal.drogo.live. The team combines former buy-side analysts, ex-CME and FX market-makers, and the engineers who build Drogo's data and execution stack.
Each public article is reviewed by at least two team members before publication: one with execution experience in the relevant market (US equities, crypto, FX) and one with quantitative-research background. Articles are reviewed at least quarterly for accuracy and re-dated when the underlying data, regulation, or methodology changes.
Drogo Research does not provide investment advice, does not manage client capital, and does not accept compensation from issuers, brokers, or asset managers in exchange for editorial placement. The methodology and learn pages exist to make Drogo's tooling — screeners, signals, AI commentary — auditable in the same way good academic finance papers are.
Editorial expertise
- US equity market microstructure (order types, slippage, execution venues)
- Technical analysis: RSI, MACD, ATR, volume profile, Wyckoff price-volume reading
- Crypto spot and perpetual derivatives (Binance, Coinbase, OKX, Bybit funding-rate dynamics)
- Backtesting hygiene: survivorship bias, look-ahead bias, slippage realism, multiple-testing correction
- Forex majors and the macro calendar (FOMC, NFP, CPI, ECB, BoE, BoJ)
- Programmatic trading infrastructure (Polygon data feeds, AppSync, real-time WebSocket pipelines)
Publishing policy
Articles are dated on initial publication and on every substantive review. The "Last reviewed" timestamp on a page reflects the most recent quarterly review or correction. Source data, formulas, and external references are linked from each article so readers can independently verify claims. Reader corrections are welcomed at the contact link below; verified corrections are applied within 5 business days and the dateModified is updated accordingly.
Articles by Drogo Research
- What is RSI? A practical guide for traders — The Relative Strength Index measures momentum on a 0–100 scale. Here is what it actually represents, how it is calculated, and how disciplined traders use it without overfitting.
- The Wyckoff method, explained for modern traders — Richard Wyckoff's framework for reading the interaction of price, volume, and time still works on liquid markets a century later. Here is the practical version.
- Support and resistance that actually matters — How to mark levels that participants defend, not levels that look pretty on the chart.
- Volume profile basics: POC, value area, and how to read them — Volume profile re-orders the trading day by price instead of time. Here is what it shows, what it does not, and how to use it without over-fitting.
- How to use stock screeners effectively — Build scans that reflect your process, not the entire market.
Methodology
Every screener filter, signal definition, and backtest assumption is documented: