Who runs StockKit
StockKit is operated by SoftBloom Creations LLC, a small independent software studio. There is no fund behind the product, no brokerage affiliation, no signal room, and no paid promotion deal with any listed company. The team's incentive is simple: keep the daily research email useful enough that users come back, and honest enough that they recommend it to a friend.
If you ever want to verify a claim, ask a data question, or report a problem, email support@stockkit.net or message us on Telegram. Real humans read those messages.
What StockKit actually does
You pick 1 to 3 tickers — US, Hong Kong, or China A-shares — verify your email, and receive a daily AI-generated research brief before the relevant market opens. Each brief covers price structure, 24+ technical indicators, a catalyst timeline, valuation context, and a 7-day risk matrix for the tickers you chose.
Six frontier AI models reason over the same evidence in parallel: Claude Opus 4.7, GPT-5.5 Pro, DeepSeek V4, Gemini 3 Ultra, Grok 4, and Qwen 3 Max. An arbitration layer keeps the points the models broadly agree on and flags the points where they disagree — so you can see exactly which claims still need verification, rather than reading a single confident summary that hides its own uncertainty.
What StockKit will not do
StockKit will not tell you to buy or sell a stock. It will not give you a price target or a confidence score that pretends to be a trading signal. It will not run a paid Telegram room, sell upgrade tiers tied to specific tickers, accept affiliate links to brokerages, or recommend trades on behalf of any user. If a feature would require crossing that line, it does not get built.
When data is thin, delayed, or contradictory, the brief is required to mark uncertainty rather than invent precision. That is also why the same research email goes to everyone subscribed to a ticker — there are no paid tiers that get a different conclusion.
Why the product is free
StockKit is free because the cost structure makes it possible: the same multi-model pipeline that produces one brief produces many briefs without the cost scaling per user. Keeping it free lowers the bar for trying it, and removes the obvious pressure to bias the output toward upselling something.
If the product ever needs revenue to keep running, it will come from a clearly disclosed, non-conflicted source — not from charging more to give different research to different users.