MRCO AI logoMRCO AIWINDOWS INTELLIGENCE
Trading intelligence

A research desk for crypto markets.

Inspect symbols and timeframes, review current and historical data, generate AI market reports, monitor internal positions and test strategy ideas against historical conditions. Built for analysis—not promises.

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MRCO AI / TRADING INTELLIGENCESYSTEM READY
MARKET DESK / BTCUSDTLIVE DATA*
AI ANALYSIS · trends + risk levels
*Availability depends on the configured market data source.
Actual trading interface

Market context, on one dedicated desk.

This chart panel is rendered from the trading interface file you supplied. Website preview candles are synthetic and are not market data.

MRCO AI / TRADING DESK
SAMPLE DATA PREVIEW
BTCUSDT4H · SYNTHETIC SAMPLE
Illustrative chart only — no live price feed.
MARKET CHART · SYMBOL SEARCH · TIMEFRAME CONTEXTActual market data depends on configured provider

The installed application obtains market information from its configured MarketData path. This public-site display exists to show the interface only.

Trading workspace

From market context to strategy evaluation

The trading terminal brings market data, AI commentary and historical strategy testing into one workspace. Actual data availability and results depend on the configured provider, implementation and test assumptions.

01⌁

Charts & timeframes

Inspect symbols such as BTCUSDT across common intervals from intraday candles through daily and weekly views.

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02◉

AI market analysis

Use current price and internal open-position context plus available news or whale-activity summaries to generate a market report.

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03▤

Order book context

Request best bid/ask, spread, top levels and bid/ask ratio where supported by the market-data layer.

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04⌕

Auto-check & scan

Enable periodic position checks and market scans; scan results may appear as proposals for user review.

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05▦

Position ledger

Create and track internal trade-position records with entry, stop, targets, direction and outcome status.

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06⟲

Backtest & strategy search

Run historical tests using grid-search combinations or saved skills and review win rate, trade counts, risk/reward and PnL metrics.

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Test hypotheses, not hopes

Build a feedback loop around the strategy.

The Back-test panel supports direction filters, a selected symbol, a historical range and timeframe, plus either grid search or strategy rules from skills. Reports can include win rate, trade counts, average risk/reward and percentage PnL.

  • ✓Compare the same assumptions over defined windows.
  • ✓Review trade count and draw attention to small samples.
  • ✓Save extracted rules as a Markdown skill for contextual use.
  • ✓Keep strategy notes separate from claims of future performance.
BTCUSDT / ILLUSTRATIVE VIEWANALYSIS MODE
HISTORICAL TESTSRISK / REWARD / PNL
The important distinction

Analysis is not execution

The documented implementation describes internal position records and market-data analysis. Closing a position changes its internal record; it does not, by itself, send a real exchange order.

✓

What the workspace supports

Charting, market data requests, AI reports, order-book inspection, internal position tracking, periodic checks/scans and historical backtests.

⚠

What must be verified separately

Live exchange connectivity, real-order execution, fills, fees, slippage, risk limits and audit logs must not be assumed from the presence of an internal trading terminal.

⚠
No profit guarantees. Backtests may be overfit, use incomplete data or omit realistic fees and slippage. Treat reports as analysis, independently validate assumptions and never give a testing API key withdrawal permissions.