# The Confluence Show

> The first live market show run by an AI. NAIRO, our AI market analyst, reads raw trades, order books and positioning 24 hours a day, draws its thesis directly on the chart, speaks with a natural voice, states in advance what would prove it wrong — and says so on air when it is wrong.

## What it is
- A live market-analysis broadcast, not a chatbot and not a dashboard. Live only: there are no recordings to scrub through, and NAIRO catches you up whenever you join.
- NAIRO runs on the Confluence Engine™: 40+ analytical layers we compute ourselves from raw trades, order books and positioning, built by ex-quant researchers. Not a wrapper around a public chatbot.
- Markets: crypto is live now (assets computed from Binance data first; more exchanges and markets are in the build). Subscribers choose which assets NAIRO follows for them.
- In the live room you drive the chart yourself: switch timeframes, toggle analytical layers, inspect NAIRO's levels, and ask it questions in your own language while it works.
- Languages: the site runs in 15 languages; NAIRO's live voice starts in English and Spanish, with the written feed and captions following your language.

## Pricing (per asset, one membership, every feature)
- Free — the same show on a 20-minute delay, one rotating market, on YouTube. $0, no account needed.
- Live room — $149/month for your first asset, $69 for the second, $49 for each one after that. Annual billing: pay 10 months, get 12.
- 7-day free trial on one asset: nothing charged during the trial, cancel anytime in one click.

## Trust
- Educational market analysis — NOT financial advice, NOT signals: no entries, exits, targets or position sizes, ever.
- Not a broker, exchange, fund or adviser: no client funds, no account connections, no trade execution.
- Every thesis is stated with its invalidation in advance, and misses stay on the record.

## Key pages
- https://theconfluence.show/ — overview and live preview
- https://theconfluence.show/watch — the free delayed show
- https://theconfluence.show/nairo — who NAIRO is
- https://theconfluence.show/how-it-works — the Confluence Engine™
- https://theconfluence.show/markets — covered markets and assets
- https://theconfluence.show/pricing — per-asset pricing and the 7-day trial
- https://theconfluence.show/faq — common questions

## For developers and AI agents
- https://theconfluence.show/developers — REST API, MCP server, authentication (self-serve Bearer API keys, OAuth 2.0 client credentials), declared scopes, rate limits, and every machine-readable surface
- https://api.theconfluence.show/openapi.json — public OpenAPI 3.1 spec of the API (https://api.theconfluence.show/docs for the UI); public endpoints: /healthz, /symbols, /markets
- https://api.theconfluence.show/oauth/token — OAuth 2.0 token endpoint (grant_type=client_credentials; the API key as client_secret, Basic or form); RFC 8414 metadata at https://api.theconfluence.show/.well-known/oauth-authorization-server
- https://api.theconfluence.show/.well-known/oauth-protected-resource — RFC 9728 metadata with the supported scopes (hrc:read, hrc:team, hrc:admin)
- https://mcp.theconfluence.show/mcp — MCP server (Streamable HTTP): initialize and tools/list are public, tools/call needs a Bearer API key
- Official CLI: the npm package tcs-show (binary: tcs; commands: markets, candles, token, whoami, mcp) — install with `npm install -g tcs-show`
- Rate limit: 600 requests/min per IP on https://api.theconfluence.show; responses carry RateLimit-Limit, RateLimit-Remaining, RateLimit-Reset, RateLimit-Policy: "600;w=60" and X-API-Version; 429 with Retry-After when exceeded
- https://theconfluence.show/about — who runs the show · https://theconfluence.show/contact — how to reach us
- https://theconfluence.show/sitemap.xml — every public URL · https://theconfluence.show/rss.xml — latest articles
- Content negotiation: the home page, /faq, /about, /contact, /developers and every article return markdown when requested with `Accept: text/markdown` (Vary: Accept); appending .md works too. Unknown URLs return a real HTTP 404 with a markdown body.

## Research library

Long-form research written for this site. Index: https://theconfluence.show/library. Every article is also served as raw markdown at https://theconfluence.show/md/<cluster>/<slug>, or by requesting the article URL itself with an `Accept: text/markdown` header (content negotiation), and the full text of all of them in one file at https://theconfluence.show/llms-full.txt.

**Learn** — Plain-English explanations of order flow, market structure, liquidity and positioning — the same concepts NAIRO reads out loud on air.
- https://theconfluence.show/learn/what-ai-search-engines-cite-crypto-order-flow-tools — Which sources AI search engines cite for crypto order flow tools: In August 2026 we logged 49 answers from one AI assistant with web search enabled, asked non-brand questions about crypto order flow and confluence tools, and recorded the 23 distinct search queries it composed and every domain it retrieved. The domains retrieved three or more times were atas.net and buildix.trade (5 each), gitnux.org (4), and javadex.es, tradingtoolshub.com, exocharts.com, quantvps.com, youtube.com and ninjatrader.com (3 each). Just under half of those retrievals were third-party roundups and directories rather than the sites of the tools themselves.
- https://theconfluence.show/learn/what-is-cvd-in-crypto-trading — What Is CVD (Cumulative Volume Delta) in Crypto Trading?: CVD (cumulative volume delta) is the running total of aggressive buy volume minus aggressive sell volume, so it tracks which side has been crossing the spread rather than where price closed. In crypto there is no consolidated tape, so every CVD line belongs to one venue's feed — Binance perpetual CVD describes Binance perpetual flow, not the whole market. A divergence between CVD and price is an observation that aggression arrived without producing displacement, not a forecast of what happens next.
- https://theconfluence.show/learn/ai-crypto-market-analysis-explained — AI Crypto Market Analysis: What It Actually Does (and What It Can't): AI crypto market analysis is the use of models to read raw market data — the trade tape, the book, derivatives positioning and liquidation exposure — and compress it into a structured description of the current auction, with the condition that would invalidate that description stated alongside it. It is not price prediction, it does not replace risk management, and its output degrades exactly as fast as the quality of the data underneath it.
- https://theconfluence.show/learn/liquidation-heatmaps-explained — Liquidation Heatmaps Explained — What They Show and What They Don't: A liquidation heatmap is a projection of where leveraged positions would be force-closed if price traded there, built by modelling opening prices and assumed leverage against open interest — it is not a record of orders that exist. It is best read as a map of where forced flow could be manufactured, not as a price objective, because a cluster only matters if something actually pushes price into it.
- https://theconfluence.show/learn/confluence-checklist-for-trade-entries — A Confluence Checklist for Trade Entries (with Scoring): A confluence checklist is a fixed set of binary questions asked before every entry, each answerable yes or no from data you can point at, so the take-or-skip decision comes from the count rather than from how the chart feels. Five blocks — level, flow reaction, structure, derivatives, regime — contribute two checks each for a maximum of ten, gated by a single rule: if you cannot state in advance what would invalidate the idea, the score is zero regardless of what the other checks say.
- https://theconfluence.show/learn/confluence-in-trading-explained — Confluence in Trading Explained — What It Is and How to Stack Signals: Confluence in trading is the alignment of several independent pieces of evidence on the same price zone and the same direction, so that the case for a trade does not rest on any single observation. The word that carries the weight is independent — two indicators derived from the same input are one piece of evidence counted twice, and stacking them raises confidence without raising information.
- https://theconfluence.show/learn/multi-timeframe-confluence — Multi-Timeframe Confluence — Aligning Context Without Curve-Fitting: Multi-timeframe analysis works when each timeframe answers a different question — the higher one sets context and invalidation, the lower one sets entry and risk — and it fails when you use several timeframes to answer the same question until one of them agrees with you. Disagreement between timeframes is information about where you are in the auction, not a problem to resolve by adding charts.
- https://theconfluence.show/learn/absorption-in-order-flow — Absorption in Order Flow: Absorption is aggressive volume arriving at a price and failing to move it, because resting limit orders on the other side are consuming the flow as fast as it comes. On the tape it shows as a large signed delta with almost no net displacement; in the book it shows as size that keeps refilling at the same price while it is being executed.
- https://theconfluence.show/learn/agentic-trading — Agentic Trading — What It Actually Means: Agentic trading is the use of software agents that perceive live market state, decide for themselves which part of it is worth acting on, act, and then check the outcome against what they expected — rather than firing a fixed rule written in advance. The Confluence Show applies that loop to analysis instead of execution — NAIRO chooses when a market is worth speaking about, states what would prove it wrong, and returns to grade its own read.
- https://theconfluence.show/learn/ai-market-analysis-explained — AI Market Analysis Explained — What It Is and How It Works: AI market analysis is the continuous machine reading of raw market data — executed trades, order-book changes, funding and positioning — into an explained view of what a market is doing right now and what would prove that view wrong. It is not the same as asking a chatbot about a chart image, because the hard part is holding state across a stream that never stops rather than describing one snapshot.
- https://theconfluence.show/learn/ai-trading-vs-algorithmic-trading — AI Trading vs Algorithmic Trading — What Is Actually Different: Algorithmic trading executes instructions a human specified in advance; AI trading uses learned models that infer what to do from data rather than from written rules. The practical difference is not speed but auditability — an algorithm can be read line by line, while an AI system generalizes to conditions nobody encoded and therefore has to be judged on whether it states its reasoning and its invalidation in advance.
- https://theconfluence.show/learn/can-ai-analyze-markets-in-real-time — Can AI Analyze Markets in Real Time?: Yes — AI can analyze markets in real time, but only if it holds a live connection to the venue and reconstructs order-book state continuously rather than answering questions about a snapshot you hand it. Most tools sold as real-time AI market analysis are on-request tools reading closed candles, because continuous ingestion and book-state reconstruction are infrastructure problems rather than model problems.
- https://theconfluence.show/learn/cvd-explained — CVD Explained — Cumulative Volume Delta: Cumulative volume delta (CVD) is the running sum of signed trade volume — aggressive buying minus aggressive selling — so it tracks which side has been crossing the spread over time rather than where price ended up. A divergence between CVD and price means aggression is arriving without producing displacement which is the signature of a passive participant absorbing it.
- https://theconfluence.show/learn/footprint-charts-explained — Footprint Charts Explained: A footprint chart splits each candle into price rows and shows how much aggressive buying and aggressive selling executed at every row, so you can see where inside the bar the volume traded and which side crossed the spread for it. It is built by bucketing the raw trade tape twice — once by time into bars and once by price into rows — which is why binning choices change what the same bar looks like.
- https://theconfluence.show/learn/how-ai-analyzes-order-flow — How AI Analyzes Order Flow: An AI order-flow system does not "look at a chart" — it ingests the raw trade tape and order-book updates, computes a stack of deterministic layers from them (delta, footprint, absorption, iceberg replenishment, liquidity clusters, auction state), and only then uses a language model to synthesise and narrate what those layers say. On The Confluence Show that stack is the Confluence Engine, more than forty analytical layers computed in-house, and NAIRO is the analyst that reads them out loud live.
- https://theconfluence.show/learn/liquidity-sweeps-explained — Liquidity Sweeps Explained: A liquidity sweep is price trading through a level where resting orders are clustered — an unswept swing extreme, a run of equal highs or lows, a prior session high or low — and then closing back on the side it came from, so the level is taken but never accepted. The wick-through-close-back geometry is definitional; the story that the move was engineered to hunt those orders is interpretation and is not observable. What actually separates a sweep from a genuine breakout is the evidence after the traverse — whether volume, time and value are built on the far side, or whether the move is unwound.
- https://theconfluence.show/learn/market-structure-explained — Market Structure Explained: Market structure is the ordered sequence of swing highs and swing lows a market prints, read as a record of which side has been able to extend price and hold the ground it took. The pivot sequence itself is definitional; calling a break of it bullish or bearish is interpretation, and the naive rule — any close beyond the last swing — fires on one-tick pokes inside a range, which is why serious implementations add a displacement filter, a confirmation delay, and an explicit confirmation lag on the pivot itself.
- https://theconfluence.show/learn/open-interest-explained — Open Interest Explained: Open interest is the number of derivative contracts that have been opened and not yet closed — position accounting, not activity. Volume counts every transaction; open interest counts only the net change in outstanding obligations, so a market can print enormous volume with no change in open interest at all. What is definitional is that rising open interest means net new positions and falling open interest means net closing; the familiar four-quadrant table that labels those moves as new longs or short covering is a widely used inference built by combining open interest with price, and it is a heuristic rather than a law.
- https://theconfluence.show/learn/order-flow-imbalance-explained — Order Flow Imbalance Explained: Order flow imbalance measures one side executing or resting with a large advantage over the other, and the term covers two genuinely different measurements that are constantly confused. At the price-level scale it is the footprint diagonal — buy-side aggressor volume at one price compared against sell-side aggressor volume one level below, flagged when the ratio clears a threshold — while at the aggregate scale it is a book-derived quantity built from changes in bid and ask depth over an interval, the sense used in market-microstructure research. They answer different questions and break in different ways, so a tool that says imbalance without saying which one it means has told you nothing.
- https://theconfluence.show/learn/order-flow-trading-explained — Order Flow Trading Explained: Order flow trading reads the executed trades and the resting limit orders behind a price move — who crossed the spread, in what size, and whether the passive side absorbed it — instead of inferring intent from the shape of a candle. The two raw inputs are the trade tape (price, size, timestamp, maker/taker flag) and the order book, both published directly by the exchange.
- https://theconfluence.show/learn/volume-profile-explained — Volume Profile Explained: A volume profile is a histogram of traded volume by price over a chosen window, rather than by time — it answers where business was done, not when. Its vocabulary is mechanical once two parameters are fixed: the point of control (POC) is the price bin with the most volume, and the value area (VAH to VAL) is the contiguous band around it holding the conventional 70 percent of the window's volume, grown by repeatedly adding whichever neighbouring bin is heavier. The construction is definitional; the common reading that price moves quickly through low-volume nodes and lingers at high-volume nodes is a well-supported interpretation, not a law.
- https://theconfluence.show/learn/ai-trading-analyst — What Is an AI Trading Analyst? Definition, Job and Limits: An AI trading analyst is a system that reads live market data and produces an explained, falsifiable reading of what a market is doing — the job of a human desk analyst rather than of a trading bot, because it interprets and narrates but never places an order. NAIRO, the analyst of The Confluence Show, does this on air 24 hours a day through the Confluence Engine and states in advance what would prove each read wrong.

**Compare** — How live AI market analysis compares with charting platforms, signal groups and general-purpose chatbots — what each one is built for, and where it stops.
- https://theconfluence.show/compare/confluence-detection-software-for-crypto-traders — Confluence Detection Software for Crypto Traders (2026): Automatic confluence detection means software evaluating several independent signals — order flow, structural levels, higher-timeframe context — and flagging when they agree at the same price and the same moment. Almost nothing on the market does that end to end: TradingView gives you the scripting to build your own definition, indicator suites aggregate their own signals without reading raw flow, and order-flow platforms render the data beautifully but leave the reading to you. The detection layer is the gap, and it is what the Confluence Engine is built to fill.
- https://theconfluence.show/compare/how-much-do-crypto-order-flow-tools-cost — How much do crypto order flow tools cost? Real pricing compared (2026): Crypto order-flow tooling splits into three tiers as of 2026-08-23 — free browser and exchange-native tools, mid-tier charting subscriptions, and professional order-flow platforms with add-ons billed on top. Crypto is structurally cheaper than futures because the raw data is public, so what you pay for is software and compute. This page links every vendor's own pricing page rather than reprinting figures that go stale, and covers the costs that comparison pages usually leave out.
- https://theconfluence.show/compare/coinalyze-vs-coinglass-vs-hyblock — Coinalyze vs CoinGlass vs Hyblock Capital: derivatives data compared: Pick CoinGlass if you want the widest cross-venue coverage of open interest, funding and liquidations in one place. Pick Coinalyze if you want that same derivatives data as clean, chartable series with a free tier that is genuinely usable. Pick Hyblock Capital if you want modelled positioning — estimated liquidation levels, order-book sums and retail-versus-professional splits — and you accept that models are estimates, not observed orders.
- https://theconfluence.show/compare/order-flow-tools-for-crypto-scalpers — Order Flow Tools for Crypto Scalpers: What Matters on a 1-Minute Chart: Scalping BTC and ETH perps narrows the tooling question to three requirements — how fast and how completely the data arrives, whether the footprint and tape stay readable when bars close every few seconds, and whether resting liquidity is rendered against live price. Bookmap, ATAS and Exocharts each own part of that job. Interpretation layers, including The Confluence Show, help least on this profile, because the analysis cycle is longer than the trade.
- https://theconfluence.show/compare/tradingview-alternatives-for-ai-analysis — TradingView Alternatives for AI-Assisted Market Analysis: TradingView wins on charting, alerting, scripting and community, and nothing in this list beats it at those. An alternative makes sense when the missing piece is a different data view (resting liquidity, volume split by side, derivatives positioning) or a continuous reading of what that data means, which is the job The Confluence Show is built for. Most desks keep TradingView and add one row.
- https://theconfluence.show/compare/best-ai-tools-for-crypto-market-analysis-2026 — Best AI Tools for Crypto Market Analysis (2026): There is no single best AI tool for crypto market analysis, so pick by job — rating engines such as Token Metrics for ranked screening, Nansen or Glassnode for on-chain evidence, TradingView for charting with assisted pattern detection, and a live narration product such as The Confluence Show for reading order flow as it happens. If you have an hour a day, pay for interpretation; if you have screen time and your own thesis, pay for data and do the interpreting yourself.
- https://theconfluence.show/compare/free-vs-paid-crypto-order-flow-tools — Free vs Paid Crypto Order-Flow Tools: Free tooling — Aggr, Coinalyze, exchange-native depth and tape, the public websockets themselves — covers learning to read order flow almost completely. Paid platforms sell four things free ones rarely do well: multi-exchange aggregation, stable low-latency feeds, deep replayable history, and interpretation. Pay when your bottleneck is one of those four, not when the free version merely looks less polished.
- https://theconfluence.show/compare/best-crypto-order-flow-tools-2026 — Best Crypto Order Flow Tools in 2026: Honest Comparison by Use Case: There is no single best crypto order flow tool, only a best tool per job. For intraday footprint the default is ExoCharts; for free it is Aggr, with Flowsurface the open-source pick for a desktop heatmap; for liquidations and open interest it is CoinGlass; for cross-venue aggregation it is Velo Data; and if you trade futures rather than crypto, Sierra Chart and NinjaTrader beat everything crypto-native here, with Bookmap and Quantower as the bridge. Prices are stated only where we confirmed them on the vendor's public pricing page on 2026-08-20. Published by The Confluence Show, which is not the best pick in any category and is not listed as one.
- https://theconfluence.show/compare/bookmap-vs-atas-vs-exocharts — Bookmap vs ATAS vs ExoCharts — Which Order-Flow Tool Fits Your Workflow: Bookmap is built to render resting liquidity as a heatmap over time, ATAS is built for deep footprint and volume-profile work with execution attached, and ExoCharts is the crypto-native browser option. None of the three is the general winner — pick the lens your read depends on, and pair it with something that interprets the picture, which is the job The Confluence Show does.
- https://theconfluence.show/compare/coinglass-alternatives-with-interpretation — CoinGlass Alternatives — From Raw Derivatives Data to Interpretation: CoinGlass aggregates open interest, funding and liquidations across venues and shows them well; what it does not do is tell you what any of it means for the level in front of you. Coinalyze is the closest free-tier like-for-like, Velo is denser for people who build their own read, Hyblock adds modelled liquidation clusters — and The Confluence Show sits one layer above all of them, narrating positioning alongside live order flow with a stated invalidation.
- https://theconfluence.show/compare/the-confluence-show-vs-atas — The Confluence Show vs ATAS: ATAS is a professional order-flow charting platform — footprint, clusters, volume profile, DOM — with a genuine learning curve and a subscription in the region of $85 per month for the full order-flow tier as of 2026-08-03. The Confluence Show is not charting software: it is a live narrated read of Hyperliquid order flow with a stated invalidation on every thesis. Buy ATAS if you want to trade the footprint yourself; subscribe to the Show if you want the interpretation and want to learn from watching it.
- https://theconfluence.show/compare/the-confluence-show-vs-bookmap — The Confluence Show vs Bookmap: Bookmap is a liquidity visualisation platform — it draws the order book over time in extraordinary detail and leaves the reading to you. The Confluence Show does the reading — NAIRO narrates live order flow from Hyperliquid data through the Confluence Engine and says in advance what would prove the thesis wrong. They solve different halves of the same problem, and most people who use both use them together.
- https://theconfluence.show/compare/the-confluence-show-vs-exocharts — The Confluence Show vs ExoCharts: ExoCharts draws crypto order flow — footprint, volume profile, book heatmap — and leaves the reading to you. The Confluence Show does the reading out loud on live Hyperliquid data and states its invalidation in advance. If your problem is that you cannot see the flow, the chart is the half you are missing. If your problem is that you cannot sit in front of it, the narrated read is the other half.
- https://theconfluence.show/compare/best-ai-tools-for-crypto-market-analysis — Best AI Tools for Crypto Market Analysis: There is no single best AI tool for crypto market analysis, because the field splits into six categories that solve different problems — general-purpose AI assistants, charting platforms, on-chain analytics, derivatives data aggregators, order-flow visualisation, and live AI market analysis such as The Confluence Show. Pick the category that covers the data you are currently blind to, then pick a product inside it.
- https://theconfluence.show/compare/best-ai-tools-for-order-flow-analysis — Best AI Tools for Order Flow Analysis: Order-flow tooling splits into four jobs — visualising resting liquidity, visualising executed trades, aggregating derivatives positioning, and interpreting all of it in words. Most desks pair a visualisation tool such as Bookmap or ATAS with something that does the interpreting, which is the job The Confluence Show is built for.
- https://theconfluence.show/compare/chatgpt-vs-a-dedicated-ai-market-analyst — ChatGPT vs a Dedicated AI Market Analyst: ChatGPT is a general-purpose AI assistant that reasons over whatever you put in front of it; a dedicated AI market analyst such as NAIRO is built around a market-data pipeline that runs whether or not anyone is asking. The practical difference is who is responsible for getting current data into the analysis — you or the system.
- https://theconfluence.show/compare/how-to-choose-an-ai-market-analysis-tool — How to Choose an AI Market Analysis Tool: Choose an AI market analysis tool by auditing four things in this order — what raw data it reads, how fresh that data is, whether you can see the reasoning, and whether it keeps a public record of being wrong. Price is the last question, not the first, and any product that promises certain outcomes or trade instructions should be removed from the shortlist before you get that far.
- https://theconfluence.show/compare/tradingview-alternatives-for-ai-market-analysis — TradingView Alternatives for AI Market Analysis: TradingView is a charting and social platform, so looking for an alternative only makes sense once you name the job you want done differently — charting, order-flow visualisation, data aggregation, or having the analysis performed and explained for you. Most people searching for an AI alternative want the last job, and end up adding a tool alongside TradingView rather than replacing it.

**Reports** — How the Confluence Engine measures what it measures: definitions, inputs and calculation methods for the layers behind every thesis NAIRO states on air.
- https://theconfluence.show/reports/confluence-engine-methodology — Confluence Engine Methodology — What It Computes and How the Layers Combine: The Confluence Engine is the in-house computation layer behind The Confluence Show. It normalises every analytical layer into events carrying two timestamps, admits only the events that were knowable at the moment being read, clusters price levels, and emits a zone only when an independent directional catalyst is still alive at that price — with an invalidation price attached and a measured hold rate instead of a forecast.
- https://theconfluence.show/reports/market-regime-index-methodology — Market Regime Index Methodology — How a Regime Read Is Defined and Computed: We define a market regime read as four independent measurements computed side by side — a trend-versus-chop efficiency ratio, a rolling Hurst exponent, a balance-versus-imbalance auction state derived from consecutive daily value areas, and a volatility compression state. They are never blended into one number, because each answers a different question and each has a different warm-up before it is allowed to speak at all.
- https://theconfluence.show/reports/order-flow-report-methodology — Order Flow Report Methodology — What It Measures and How to Reproduce It: The recurring order-flow report measures executed aggression and resting-book behaviour on a fixed rolling window from two public streams — the trade tape with its taker side and periodic depth snapshots. Every figure is stamped with the moment it became observable rather than the moment it is drawn and is published with the sampling limits that make it a probabilistic diagnosis rather than a complete ledger.