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Layer 2 · Does price confirm the macro?
Each sector's macro tilt (L1) set against its actual relative-strength momentum. Agreement = high conviction. Conflict = the macro says one thing and the tape says another — the trades worth a second look.
Layer 3 · Names inside the favored sectors
The most liquid leaders in the sectors that clear both filters (macro + momentum). These are a research shortlist, not signals — precise per-name ranking needs the market-data backend. Focus sectors are driven live by L1 × L2.
Intraweek playbook — today & tomorrow
Evidence-graded timing patterns for the trading week. strong = robust & current · moderate = real but conditional · weak = historical/decayed, shown for awareness. Bias, not a guarantee.
Your agent
A robot trader that never sleeps: checks the tape every 30 seconds, hunts swing setups every 15 minutes and scalps every 5 (paper money), and emails you when a watched level trips. The AI thinks; the agent watches and executes paper.
Ask the AI for its one best play
The AI plays a trader running a hypothetical $10,000 options account — aggressive but smart, happy to tell you to sit on your hands, and willing to size up on a heavy hunch. He looks at the live tape, options data, sectors, and catalysts, then gives you one play (not a menu) with exact entry, profit target, and stop — or a straight "not today." Educational only — not financial advice.
Two AIs argue today's market — one all-bull, one all-bear — and a third judges the fight and says what a $10k trader should do about it. Adversarial pressure kills lazy theses.
Type any symbol. The AI argues both sides of it and names the one price level that matters. Like the setup? Hand it to your agent — he watches that level every 30 seconds and emails you the moment it trips.
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The AI trades the 0DTE bucket automatically in a Tradier sandbox (fake $100k) — every play is validated against the real-time chain, capped at $600 risk, defined-risk only, then placed as a paper order. Runs each weekday ~10:05am ET; real money is not connected.
Every generated set of plays is logged server-side (90 days). Load to see how each underlying has moved since the ideas were generated — the honest scoreboard.
Legacy live-account mirror — REAL MONEY
Read-only state published by the prior session-based workflow. Agent execution uses Tradier and is shown in the proposal and audit sections above.
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Trades the AI is stalking but hasn't taken — each with the trigger that would make it live. Nothing here is an open position.
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How this works — tap to expand. Adopted from the 2026-08-01 strategy tournament; the watch flags setups, and every entry stays a human decision.
The rule. Buy SPY or QQQ at the close when the 2-day RSI dips under 10 while price is still above its 200-day average — a sharp 2–3 day dip inside a healthy uptrend. Sell the close that finishes back above the 5-day average, usually 3–6 trading days later. Long only, shares (not options — no theta clock on a multi-day hold), no leverage, no stop in the backtest (the 200-day filter is the regime stop).
Why it's credible. This is the Connors RSI-2 family — short-term mean reversion in index ETFs — with decades of published out-of-sample persistence, not a curve-fit of ours. Our own 10-year backtest (SPY+QQQ daily, $10k notional per trade): 160 trades, 72% win, profit factor 2.56, +$9,755, max drawdown −$1,086, expectancy ~$61/trade. Same test, Week Map benchmark on its 130-day tape: PF 1.32. Full chart in the journal/session record.
Why it fits this account. Low frequency (~1–2 setups a month), needs only end-of-day checks — no screen time, no intraday automation. It buys fear inside uptrends, so its edge shows up in exactly the choppy pullback weeks that starve the trend-following prop bot — an uncorrelated second engine, not a duplicate.
Honest caveats. Holds through overnight/gap risk with no hard stop — the worst single trade was −$458 per $10k, but a 2020-style crash entry would be worse. Backtest ignores dividends (helps, slightly). Adopted 2026-08-01 as a watch rule only: the Worker recomputes this daily, the card above shows the reading, and any actual entry is Zac's call at the close.
The whole research record in one place: what each strategy is, its profit factor left alone (recent window vs all history), when it wants to trade, and its honest status. Evidence lives in docs/prop-bot.md; the forward lanes keep score and this card gets updated when a status changes.
🟢 RSI-2 pullback (shares) — swing, 2–6 day holds · VALIDATED · adopted watch
🟢 RSI2-LEAP-60d — long-term, ~3-month holds · VALIDATED (historical) · paper-first
🟡 Week Map (NQ 8/14 EMA) — day trade, futures · REGIME-LOCAL · dry-run bot
🟡 Overnight drift (NQ) — overnight holds · PARKED · personal account only
⚫ The graveyard — tested and killed, with cause of death
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The 16 lessons in force and every sourced write-up — the evidence behind the rules.
Forgets the stored control key on this device. Theme & accent live behind the ⚙ up top.
Knowledge bank — what we trade on, and why
Every rule the system trades with, distilled from our own backtests, the forward record, and sourced research. Governance: the forward record outranks everything, and origin of an idea is not evidence. Full sourced write-ups live in the repo (links open GitHub).
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