Essential
books.

Six books that have had the most direct influence on the methodology, philosophy, and frameworks behind the lab. Each one changed something about how markets, money, or human action is understood here.

Human Action
Human Action
Ludwig von Mises

The magnum opus of Austrian economics — a complete treatise on praxeology and human choice. Foundational for understanding how markets emerge from individual action, why central planning fails, and how price signals carry irreplaceable information.

Austrian Economics
Bitcoin Is Venice
Bitcoin Is Venice
Allen Farrington & Sacha Meyers

A sweeping essay on how Bitcoin represents a return to sound money and the conditions that enabled Renaissance-era commercial flourishing. Bridges economic history, monetary philosophy, and the case for Bitcoin as foundational infrastructure.

Bitcoin, Economics & Philosophy
Trading in the Zone
Trading in the Zone
Mark Douglas

The definitive book on trader psychology — why a strong methodology fails without mental discipline. Douglas's framework for accepting probabilistic outcomes, defining risk before entry, and operating without attachment to individual trade results is the psychological backbone every wizard on the Trader Study page implicitly converges on.

Behavioral Finance & Psychology
The Secret Life of Real Estate and Banking
The Secret Life of Real Estate and Banking
Phillip J. Anderson

A deep examination of the 18-year real estate cycle and its relationship to banking, credit, and macroeconomic rhythms. Essential background for understanding the cyclical frameworks that inform the confluence matrix.

Monetary History & Banking
The (Mis)Behavior of Markets
The (Mis)Behavior of Markets
Benoit B. Mandelbrot & Richard L. Hudson

Mandelbrot's frontal challenge to modern finance theory. Markets exhibit fat tails, long-range dependence, and multifractal scaling — properties Black-Scholes and modern portfolio theory cannot capture. Crashes happen far more often than Gaussian models predict. The intellectual foundation for taking tail risk seriously, sizing positions defensively, and treating standard volatility metrics as systematically understated.

Economic Theory & Policy
The Price of Tomorrow
The Price of Tomorrow
Jeff Booth

Booth's central thesis — that technology is inherently deflationary while central banks fight deflation with inflation — is the key framework for understanding the macro tension between monetary policy and technological progress.

Technological Change & Future of Abundance
Full Reading List — 41 Books
Complete library with category breakdown and explanations

Custom
indicators.

Built on TradingView using Pine Script. These indicators are direct expressions of the lab's methodology — each one measuring a specific component of velocity, structure, or confluence that informs the screening and matrix systems.

TradingView
Prior Close Levels [Simplest Lab]

Plots horizontal dashed lines at the closing prices of 7, 14, 21, and 27 days ago, each in a distinct color with a price label. Daily-anchored via security calls so the levels stay constant across any chart timeframe. Each lookback toggleable, label side and size configurable. Useful for identifying short-term mean-reversion targets and prior-cycle resistance.

Overlay · Daily-anchored · Purchase coming soon
TradingView
Proximity Alert [Simplest Lab]

Tags the chart when price comes within a configurable percentage of four key reference levels: All-Time High, 52-Week Low, 50 EMA, and 200 EMA. Color-coded labels (green for ATH, red for 52W Low, orange for EMAs) plus alertcondition events for ATH and 52W Low proximity. Default near-threshold uses weekly ATR percentage of price.

Alert · Overlay · Daily · Purchase coming soon
TradingView
Trend Direction Panel [Simplest Lab]

Compact top-right table showing 1-month, 3-month, 6-month, and 1-year percentage change in close, plus a verdict column: UP if all four are positive, DOWN if all four are negative, MIXED otherwise. Confirms or denies dominant trend at a glance. Color-coded green/red/orange against the lab's dark-theme palette.

Table Overlay · Daily · Purchase coming soon
TradingView
V% Scanner + Trend [Simplest Lab]

The full screening engine on-chart. Combines weekly V% velocity (range / ATR) with MA stack classification, RSI, and proximity to ATH/52W Low to label every qualifying weekly bar with its setup type — REV, PBK, EXT, EXTP and their bearish mirrors. Optional relative-volume gate and forward-return labels showing what happened in the N weeks after each historical signal.

Overlay · Weekly · Purchase coming soon
TradingView
V% Velocity Ratio [Simplest Lab]

The V% metric isolated as a standalone indicator. Plots weekly (high − low) / ATR(14) and highlights the chart background green when V% exceeds threshold on an up week, red on a down week. Threshold dashed at 1.2 by default. Use this to inspect velocity history on a single ticker without the full screener overlay.

Pane · Weekly · Purchase coming soon
TradingView
RVOL Candle [Simplest Lab]

Flags green candles where volume is at least 1.76× (configurable) the trailing 90-bar average, marking each with an HRG label and faint background highlight. Optional EMA filters (10/20/50/200) let you require price above or below each EMA before the candle qualifies. Includes all four EMAs plotted plus an optional RVOL line in a separate pane. Alertcondition fires on every qualifying candle.

Overlay · Any timeframe · Purchase coming soon

Screener
workflow.

The V% Screener takes a wide basket of liquid stocks and refines it by velocity, volatility, and aggression. To work properly, it needs the right data exported from a TradingView screener configured with the columns and filters below. Pre-filtering for setups in TradingView limits the screener's discriminatory power — your job is to export liquidity, the screener's job is to discriminate by velocity.

TradingView
Custom Screener — Filters

Set only three filters in TradingView: Price > $2 (excludes penny stocks where data and execution are unreliable), Market Cap $2B – $10T (institutional-grade liquid names), and Average Volume 90-day > 3M (tradeable liquidity). Do not filter for RSI, percentage change, EMA position, or any signal the screener will compute. Those are output classifications, not input filters.

3 filters · No setup pre-filtering
TradingView
Export Cadence

Save the screener with a clear label (suggested: Simplest Lab — V% Screener Export) so you can re-run it weekly. Export the CSV after Friday's close or any time before Monday's pre-market open. The V% formula depends on the completed weekly bar — exporting mid-week produces noisy readings because High, Low, Open, and ATR reflect a partial week. Then drop the CSV into the V% Screener page on this site.

Weekly · Friday close → Monday pre-market
PDF
Full Setup Guide (PDF)

The complete walkthrough with explanations of why each filter and column matters, common mistakes to avoid, and the philosophy behind keeping the TradingView basket wide so the screener's V% formula can do its discriminating work. Includes the full list of required TradingView columns — the exact 20 column names to add via the gear icon, in the order the V% Screener expects them.

PDF
Execution Framework (PDF)

The full trade decision document. How each V% screener label maps to a position in the structural cycle, the four-gate decision flow, lifecycle progression diagrams for both bull and bear setups, and the conditions that distinguish credit-spread setups from directional entries. Picks up where the Setup Guide ends — once you've exported clean data, this is how you decide what to do with it.

Podcasts &
channels.

Audio and video sources worth following for macro context, exponential technology, and monetary philosophy. Five shows that cut through noise and are directly relevant to the frameworks behind the lab.

📺
Jordi Visser Labs
Jordi Visser
YouTube

Macro investor's weekly takes on AI acceleration, robotics, oil and commodities, private credit, and market stress cycles. Links tech disruptions directly to SPX, Bitcoin, and asset allocation.

🚀
Moonshots with Peter Diamandis
Peter H. Diamandis
YouTube · Podcast

Exponential tech, AI, robotics, and abundance mindsets with top builders and investors. Shows how tech waves create new market opportunities and productivity surges that reshape asset classes.

🌍
Raoul Pal — The Journeyman
Raoul Pal
YouTube

Macro, crypto, and technology at the Exponential Age nexus. Bridges traditional finance with AI and crypto tailwinds for asset pricing and risk at a macro level.

🎙
The “What is Money?” Show
Robert Breedlove
Podcast

Foundational understanding of monetary systems that drive every asset class, inflation dynamics, and long-term wealth preservation strategies. Deep philosophy and history of money.

📝
The Memo by Howard Marks
Howard Marks
Podcast

Timeless wisdom on market behavior, avoiding emotional traps, and thoughtful risk management. Essential for any serious trader's mental model — particularly the cycle awareness that feeds into the confluence matrix.

🏠
George Gammon
George Gammon
YouTube

Deep dives into the plumbing of the financial system — banking, debt, and policy distortions. Excellent for understanding the "hidden" macro mechanics that affect markets, with a focus on real-world implications rather than pure theory.

Where the
signals come from.

Primary data sources used to populate the matrix dashboards and screener. Each serves a specific role in the confluence framework — no single source provides everything.

📈
TradingView

Primary charting platform and screener. All V% screener data is exported directly from TradingView CSV exports. Custom indicators live here.

Screener · Charts · Alerts
🏦
FRED

Federal Reserve Economic Data. Used for macro overlay signals — yield curve, credit spreads, inflation metrics, Fed funds rate positioning.

Macro · Federal Reserve
🎯
CME FedWatch

Fed funds futures implied probability tool. Key input for the macro layer of the SPY confluence matrix — rate expectations move markets before rate decisions do.

Rate Expectations · Fed
📊
AAII Sentiment Survey

Weekly retail investor sentiment data. Bull/bear ratio used as a contrarian sentiment input in the SPY confluence matrix sentiment layer.

Sentiment · Weekly
CBOE VIX

Volatility index. Core input for the fear/complacency signal in the macro matrix. Extreme readings in either direction carry the most weight.

Volatility · Fear Index
Crypto Fear & Greed

Composite sentiment index for crypto markets. Primary sentiment input for the Bitcoin Matrix alongside derivatives positioning data.

Bitcoin · Sentiment
🔗
Glassnode

On-chain Bitcoin analytics. MVRV ratio, realized price, long-term holder supply, and accumulation metrics feed directly into the Bitcoin Matrix cycle layer.

On-Chain · Bitcoin
🗺
Finviz

Market breadth visualization and sector heat maps. Used for the breadth layer of the SPY matrix — advance/decline, new highs/lows, sector rotation context.

Breadth · Sectors