Spiral clock
New York, Zurich, London, Tokyo and Sydney on one 3 · 6 · 9 cross — which sessions are lining up now.
ES · NQ · YM futures
YRT watches the three US index futures side by side, maps every minute onto its own tools — clocks, cycles, the 9×9×9 cube — and tells its commander what it sees, in plain words. Research and paper trading only.
Each one answers a single question about the market, and every answer traces back to the bars behind it.
New York, Zurich, London, Tokyo and Sydney on one 3 · 6 · 9 cross — which sessions are lining up now.
The session from the New York open laid on a 9 × 9 grid of time, with the square of nine beside it.
Time × price in each market's usual 9-minute range × market: the whole field's state in one cell.
Every swing cycle's period and phase, where lows and highs land together — and how often that beats chance.
Who turned first, by how many minutes, mirror or inverse — how a move passes between markets.
The highs and lows each day took, and the ones still waiting, carried from one day to the next.
One setup a day at most, graded on six checks, risk sized by grade, journaled in plain words.
A small language model built from scratch in numpy — tokens, attention, backprop by hand — trained on the platform's own journals.
TradingView on the commander's screen: the charts, the live feed and the paper-trading hands.
Reads every bar, runs the studies and the tools, keeps the journals and the memory — around the clock.
Ask in plain words, or press a key. Every reply is built from the data, never a guess.
Trades happen on a paper account. Live trading is switched off and stays off.
The reads, the journals and the answers are written by code from the stored data — no feature depends on an outside AI.
Size, risk and every switch belong to one person. The machine proposes; it never overrides.