About TICKIN
A friend in the market.
Our mission
TICKIN exists to put the kind of investing insight that used to live behind a Bloomberg terminal into the hands of everyday people, in plain English, for the price of a couple of coffees a month. We are human-centric: the AI does the reading you don't have time for, but you stay the decision-maker.
We're not trying to replace you. We're trying to give you back the evenings you'd otherwise spend digging through 10-Ks and watching CNBC at 1.5x speed.
How it works in one paragraph
Six specialist AI investors — Value, Day-Trade, Macro, Activist, Technical, and Quant — each own one investing horizon and publish a rolling set of ten picks at a time. Every pick comes with a thesis, an entry level, a goal, a stop, and a conviction score. When a pick stops working, the specialist closes it and writes down why. Closed picks live forever in the History tab — wins and losses, no airbrushing.
The six specialists
Each specialist is trained on patterns from the best-of-the-best investors in its style. They are simulated investors, not real ones, and they have opinions — not certainties.
- ValueMargin of safety · Owner-mindset · Cycle awareness
Patient and sceptical. Looks for businesses worth more than the market's asking. Holds while the thesis works; cuts when it breaks.
- Day-TradeTape reading · Momentum breakouts
Reads the tape. Short-fuse setups with hard stops. Out before the close more often than not.
- MacroRegime shifts · Credit cycles · Reflexivity
Watches rates, dollar, credit, and policy. Asks what regime we're in and which equities benefit when it shifts.
- ActivistCatalyst-led · Board accountability · Unlock value
Looks for boards underperforming the asset base. Catalyst-led. Sees value the incumbent management is leaving on the table.
- TechnicalStage analysis · Breakout patterns · Wyckoff
Trend, base, breakout — in that order. Structure over story; price action is the tell.
- QuantFactor models · Statistical arbitrage · Risk premia
Factor-driven. Value, momentum, quality, low-vol. Lets the data argue and ignores the narrative.
How TICKIN actually thinks
TICKIN is not one model with one opinion. On every ticker, six trained specialists read the evidence in parallel, each through a different lens: Value (intrinsic value, margin of safety, owner-earnings discipline), Macro (rates, regime, global flows), Activist (13D filings, board changes, catalyst events), Technical (chart structure, base patterns, price-action over moving averages), Quant (factor exposures, statistical arbitrage, mean-reversion vs trend), and Day-trade (intraday OHLCV patterns, gap behavior, opening-range dynamics). They argue. The disagreements are the alpha.
On top of the specialists sits a regime-aware risk overlay. A separate detector watches volatility, correlations, and macro signals and classifies the current environment as bull, bear, chop, or risk-off. That classification re-weights the specialists in real time. In chop, mean-reversion gets a boost and macro gets dampened. In a risk-off break, conviction is reduced across the board until the regime clarifies. You will not see TICKIN hand you a max-conviction pick the day before a Fed pivot.
TICKIN's specialists also argue with each other in simulation every night. The harness runs thousands of head-to-head rounds across recent regimes and tracks which school wins under which conditions. The winning patterns flow back into the next training run. The model you talk to next month is measurably better than the one you talk to today, with no work from you.
The score TICKIN shows you on any ticker is a weighted blend across all six schools, adjusted for the current regime and shaped by your decision history. It is one number on the surface; underneath it is six trained heads, a regime overlay, and your own track record.
How TICKIN is different from a robo-advisor
Robo-advisors pick a portfolio for you and rebalance it quietly. They connect to your brokerage and move your money. TICKIN is the opposite. We don't connect to your broker, we don't execute trades, and we don't take custody of any funds. We publish opinions. You see who said what, why, and the lifetime win rate of every voice. You stay in the chair.
We also expose our reasoning. Every pick includes the thesis in plain English, the levels, and the conditions that would kill the trade. Every closed pick is in the History tab with the reason TICKIN exited. No survivorship-bias highlight reel.
No conflicts of interest
TICKIN takes no broker kickbacks, no payment for order flow, no fund partnerships, no sponsored picks. The only money we make is the subscription you pay us. The picks reflect what the models think, not what someone paid for them to think.
Tamper-evident outputs (sigverify)
Every advisor response TICKIN generates is signed server-side with HMAC-SHA256 before it's shown to you. The signature, response hash, and a per-row version tag are stored in our advisor_outputs_signed ledger. Anyone — you, a journalist, an external auditor — can independently confirm a TICKIN response is byte-for-byte the text we produced.
- Why this matters: if someone screenshots a TICKIN response and edits the text, the signature stops verifying.
- Versions: v1 binds the response text, timestamp, user, and decision ID; v2 (current, post-Wave 4-D) additionally binds the cascade router's classified intent and the Layer-3 risk overlay decision shown alongside the response.
- Endpoint:
POST /functions/v1/sigverifyon the Supabase project hosting TICKIN. Public, rate-limited to 1 request per second per IP, signing key never echoed. - Full runbook (request shape, response shape, curl example, caveats): sigverify-runbook.md.
Who builds TICKIN
TICKIN is built by Tim under TIMxAI LLC, a single-member Pennsylvania LLC. No outside capital, no growth-at-all-costs deck, no board breathing down anyone's neck. The goal isn't to flip the company; it's to make the smartest friend you have in the market actually accessible to people who don't work on Wall Street.
We treat AI as a partner — a tool that amplifies a human, not a replacement for one. Every product decision starts from "would this help a real person make a better-informed choice?" and not from "does this engagement metric move?"
Keep reading
- Help — how to use the product
- FAQ — the questions we get the most
- Terms, Privacy, Disclaimer
Last updated 2026-05-25.
