For most retail traders, technical analysis still starts with a screenshot. They mark up a chart on TradingView or their broker, save the image, and send it to a friend or Discord group asking a familiar question: "Does this look like a good long?"
Crowly's new product, ChartVision AI, is built to sit exactly at that moment. Instead of waiting for human feedback, traders can upload that same image into a browser window and get a structured AI view of the setup — which pattern the chart most closely resembles, where support and resistance sit, and whether the overall structure leans Buy, Sell or Wait.
From pixels to a trading decision
Upload any chart image, get a verdict in seconds
ChartVision works on pure image input. A trader uploads a PNG or JPG screenshot of a stock, crypto or forex chart — from any platform, any broker, any mobile app. The AI engine isolates the price panel from interface chrome, infers trendlines, swing highs and lows, consolidation zones and recognizable chart formations, then collapses its findings into a simple verdict: Buy, Sell or Wait.
Accompanying the verdict is a confidence score, an explanation written in plain English, and a set of suggested key levels: entry zone, stop-loss reference and price target derived from the detected pattern's measured move. No API keys, no data feeds, no indicator configuration required — just the screenshot.
"We want to answer the question traders actually ask when they screenshot a chart: 'Is this trade worth it — yes, no, or not yet?'"
— Crowly.video, ChartVision AI Product BriefThat framing is deliberate. Where many AI-driven trading products emphasize alpha generation or market prediction, ChartVision's pitch is more grounded: it focuses on whether the visual structure of a chart suggests a tradeable setup right now, and if so, where the logical risk parameters sit.
What the AI sees in a chart
Patterns, levels, candles and momentum — from pixels alone
Under the hood, ChartVision combines several computer-vision techniques. First, the engine normalizes the uploaded image to isolate the main price panel and remove axes, logos and platform decorations. Then edge detection and line-fitting algorithms infer trendlines, channels and horizontal support or resistance levels.
On top of this structural layer, a pattern-recognition module classifies the dominant formation — ascending or descending triangles, bull and bear flags, head-and-shoulders, double tops and bottoms, cup-and-handle, or range consolidations. A separate candlestick component looks for common reversal signals, while a texture analysis module approximates momentum and volatility from the spacing and slope of price swings.
Five-step visual pipeline. ChartVision extracts structure directly from pixels — no price data, no indicator feeds. The same approach works on charts from any platform, time frame or asset class.
Three outcomes, one decision
Buy, Sell, or Wait — each with a different implication
The three-output model is a conscious design choice. Buy bias means the AI sees a structure consistent with continuation or breakout to the upside — typically rising lows, expanding volume and a recognized bullish formation. Sell bias signals a bearish structure: a topping pattern, breakdown below support or a failed rally. Wait — arguably the most valuable output — indicates that the AI does not see a clean, high-probability setup. The chart may be choppy, at a resistance level with no catalyst, or mid-pattern without confirmation.
Attached to each verdict is a confidence score. A score above 80 suggests the detected pattern is well-formed and the signals are aligned. A score in the 50–70 range means the AI detected something but with mixed or ambiguous supporting signals. Below 50, ChartVision will generally default to a Wait verdict regardless of the detected pattern.
Three outputs, all actionable. A high-confidence Wait is often more valuable than a low-confidence Buy or Sell — it tells the trader to stand aside and preserve capital until the chart clarifies.
Platform-agnostic by design
Because ChartVision operates on images rather than data feeds, it works with screenshots from any charting environment: TradingView, thinkorswim, Webull, Robinhood, or even a photo taken of a screen. Traders in chat rooms or Discord servers can upload charts shared by others — and check a setup without switching platforms or re-entering symbols.
This is the same design logic behind tools such as SnapPChart and Graph Vision AI, which have attracted early adoption among active traders who share charts socially. [web:92][web:90] Crowly's differentiation lies in tying the visual analysis directly into its wider signal ecosystem — so a ChartVision verdict can be cross-referenced against live regime, volume and sentiment data from the broader platform.
What traders actually get
The final output page for each uploaded chart contains: the detected pattern with a label overlay on the image, the Buy / Sell / Wait verdict, the confidence score, entry zone, stop reference and target, a two-to-three sentence plain-English explanation of the reasoning, and a risk-level bar. For Pro subscribers, the platform adds a session-regime overlay, dark-pool corroboration and a second opinion from the five-model Professor AI ensemble.
"Even experienced traders have blind spots. ChartVision is there for the moment right before you enter — when you need someone to tell you what you might be missing in the chart."
— Crowly.video, ChartVision AI Product NotesLonger term, Crowly has outlined an API strategy for ChartVision that would let brokers and fintech apps embed the "analyze this chart" feature directly inside their order tickets or chart windows — turning a standalone tool into a ubiquitous layer across the retail trading stack.