A fast read first. Open the deeper sections only when something looks worth your time.
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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.
Futures bot desk
The NQ prop lane watches continuously, runs the Week Map rules, and reports the regime and risk state. Keep it shadow or dry-run while it earns trust; any enabled live order remains approval-gated.
Prop desk — NQ futures dry-run bot · MyFundedFutures track
The deterministic Week Map engine, its shadow-research lanes, and every strategy candidate for the prop account. Honest state: we either haven't found the durable edge yet or we've been too restrictive — the 2026-08-05 session-regime tournament produced four candidates now earning (or failing) a forward record. Props are cheap; the gauntlet is not optional.
Unlock the agent above to see live bot status, signals, and the shadow-lane standings.
16 confluence cells through the gauntlet (discovery 2026 vs untouched 2022-25, Reality Check on both). Headline: every day-gated Week Map variant beats raw Week Map out of sample — the champion's OOS hole lives on the days the gates remove. Raw WM on 2022-25: PF 0.93, −$10,067.
Two AIs argue today's market — one all-bull, one all-bear — and a third judges the fight. 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.
Generated ideas are logged server-side for 90 days so we can revisit the reasoning and measure what happened instead of relying on memory.
Your IRA planning room
This page never trades. Keep a simple snapshot of what you own and what you are thinking, then use it as the brief for a conversation with AI.
Ask the AI for an IRA idea
A long-term research prompt for possible additions to the account. It is a starting point for our conversation, not an order and not an automated strategy.
No IRA snapshot posted yet — send a screenshot of the current balance and holdings to get this page live.
The house rule for when to add: buy the dip only inside an uptrend — RSI(2) under 10 with price above the 200-day. Validated over 33 years (PF ~2.5 in every era including 2008). An armed reading below is a sensible add window for the long book; below the 200-day, sit on your hands.
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No picks recorded yet. The plan: a small core of ETFs — heavy tech exposure balanced with dividend payers — chosen deliberately, added to on RSI-2 windows, and reviewed quarterly. Ask the AI to start the shortlist research when ready.
Robinhood — AI-managed account REAL MONEY
A read-only account snapshot with positions, watched setups, and adopted rules. The AI can monitor and propose; live execution remains approval-gated.
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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.
Honest caveats. Holds through overnight/gap risk with no hard stop. Adopted as a watch rule only: the Worker recomputes this daily, the card shows the reading, and any actual entry is Zac's call at the close.
Loads with the account snapshot — every action and every decision, newest first.
Lessons the account has paid for — tap to expand
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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