spyderweb47

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Detects chart patterns in OHLC data from natural-language hypotheses or visual chart selections.

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Runs a team of 50 LLM personas through a 30-round structured debate to predict market direction. Uses the Canvas Agent Swarm Service — the same shared infrastructure other skills use for smaller agent teams. Output is an influence-weighted consensus direction + trade recommendation with a transparent record of every argument, research query, and cross-examination.

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Generates and analyzes trading strategies from a structured config. Produces runnable JS + portfolio analysis.

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Research historical news events that moved (or are moving) an asset's price and plot them as data points directly on the chart. Click a marker in the Historic News tab to zoom the chart to that event and read the article. Useful for identifying the fundamental drivers behind price action — earnings, regulation, product launches, macro shocks, geopolitical events.

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Fetch historical OHLC chart data from yfinance (stocks) or ccxt (crypto) and load it onto the chart.

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