Legend & glossary
Every label, color, and tile on the dashboard explained in plain language. Skim it once, then come back when something looks unfamiliar.
Pick card
What each part of a daily pick means.
Scores
How strong the overall case is. We start at 6 for any real cluster of insider buying and add points for things like 5+ buyers, the CEO/CFO being in the group, $1M+ total, and an independent news catalyst. 10 is the strongest pick we'd send.
Every pick gets a discovery score the day we make it. The N-Score is a second, fresh number computed weeks/months later on the same 0–10 scale, answering: how worth buying is this right now? It's not the old score discounted — it's a clean re-read of today's reality, so it can go up or down.
Price & target
Where we outline potential entry zones — sometimes a single price level, sometimes a range. Entries within this area are considered to offer a more balanced risk-reward profile.
Where AI thinks the stock could go. If it gets there, you've hit the goal — time to consider taking profit.
The return we expected when we wrote the pick — distance from the buy price to the target. Compare this to the actual return to see how the prediction is tracking.
How much the stock has gained or lost since we picked it. Green = up, red = down. This is unrealized — meaning the gain only counts if you sell now.
Risk Line
The level where the thesis is in trouble. If the stock drops here, the original case is broken — a guardrail showing where to reconsider, not an order to sell. The call to act is always yours.
What would make us change our mind and bail out. Usually a specific price level or news event. If this happens, the original reason for the pick is gone.
How long we expect to hold the pick before it works out — typically weeks to months. Patience matters.
The thesis
The strongest reasons this pick could work out — the upside scenario if the thesis plays out. What has to go right.
The main risks that could break the thesis — the downside scenario to weigh before buying. What could go wrong.
What triggered us to surface this stock — usually a specific event like a cluster of insiders buying, a big news story, or hitting a 52-week low.
Buying or selling by the company's own executives and directors, reported to regulators. Heavy insider buying is often a vote of confidence — they know the business best. Selling is often routine (taxes, diversification).
Tracking
How many days it's been since the pick was published. Doesn't pause on weekends — it's calendar days, not trading days.
Where each pick stands. Active (violet) — still in play, thesis intact. Reached (green) — hit the target price. Risk line (red) — dropped past the risk level. Epic (amber) — beat the target by 1.5×+.
Sectors
The 11 buckets companies fall into — used for the sector chip on each pick.
Computer chips, software, the internet, AI. Think Apple, Nvidia, Microsoft. These companies build the digital tools everyone else uses.
Banks, insurance, credit cards. They make money by holding other people's money — lending it, investing it, charging fees on it.
Drug makers, hospitals, medical devices. From the company that made your vaccine to the one that builds MRI machines.
Stuff people buy when they have spare money — cars, vacations, fancy clothes, Netflix subscriptions. First to suffer in a recession.
Things you buy every week no matter what — toothpaste, food, soap, toilet paper. Boring but very reliable in bad times.
Oil, gas, gasoline. These companies pump fuel out of the ground and sell it. Their stock price moves a lot with oil prices.
Factories, machines, planes, trucks, construction. The companies that physically build and move stuff.
Metals, chemicals, paper, glass. Raw stuff that gets turned into everything else. Sensitive to how busy the world's factories are.
Electricity, water, natural gas to your house. Slow and steady. They pay you a regular cash dividend like an allowance.
Companies that own buildings — apartments, malls, warehouses, cell towers — and rent them out. Sensitive to interest rates.
Phone networks, social media, streaming, video games. Anything to do with talking to people or watching content.
Tags
Color-coded labels you'll see on each pick. The color tells you what kind of label it is.
Bosses of the company (CEO, CFO, directors) bought shares with their own money. They know more about the business than anyone — when they buy, it's a hint they think the stock will go up.
A specific event that could push the stock higher — earnings coming up, hitting a 1-year low, riding the AI wave, a new product launch.
Signs the company is financially healthy — no big debt, makes profit, pays a dividend, has strong cash flow. The safer kind of pick.
Heads-up about something to keep an eye on — small company, lots of price swings, big exposure to China, currency risk. Not a dealbreaker, just a 'careful'.
Serious red flags — company could go bankrupt, has huge debt, is losing money, faces big lawsuits. Take these seriously.
Just describes the company — how big it is, which sector. Not good or bad, useful for context.
Returns shown anywhere on the site are unrealized — measured from pick date to the current market price. Educational research only, not investment advice.