channel 01
YouTube
Use this for slower teaching: Bitcoin cycle maps, Wyckoff/Fib/Elliott overlays, stablecoin failure modes, indicator lessons and retail mistake autopsies.
Retail // Reset · video lab
retail // reset · public orbit
Social Orbit.
This is where the public trail lives: videos, chart notes, corrections, evidence packs, indicator releases, downloads and community direction. The social name stays simple for now: Retail // Reset.
Retail // Reset · YouTube · X · TikTok · Forum · Downloads · Corrections
socials · channel purpose
Each channel has a job. Do not turn them all into noise.
The social layer exists to show the work in public, timestamp hypotheses, publish corrections, point people to the right pages and keep the research trail visible.
channel 02
X / Twitter
Use this for timestamped notes, fast updates, chart screenshots, corrections, “model changed because…” threads and short source trails.
Retail // Reset · public notes
channel 03
TikTok / Shorts
Use this for punchy lessons: one mistake, one chart, one behavioural trap, one corrected process and one link back to the archive.
Retail // Reset · short form
channel 04
Forum / Discord
Use this for structured discussion, chart homework, evidence sorting, research questions, critique and community progress without guru worship.
Retail // Reset · structure room
channel 05
GitHub / Downloads
Use this for indicator versions, website changelogs, exported chart examples, CSV examples, HTML packs and public educational files.
Retail // Reset · keep receipts
channel 06
Corrections
Use this whenever a chart, source, assumption, date, legal note, stablecoin claim, reserve detail or cycle model needs correction.
correction beats ego
posting rules · public evidence trail
Post like the archive might be read a year later.
Every public channel should protect the brand from becoming the thing the site is warning against: hype, certainty, screenshot bait, referral addiction and hindsight theatre.
What Retail // Reset posts
- Thesis with timestamp: what the idea is, where it came from, what would disprove it.
- Chart evidence: levels, dates, structure, trend, invalidation and alternative paths.
- Corrections: when a number, source, chart read or claim needs tightening.
- Education: how tools measure pressure, effort, liquidity, structure and behaviour.
- Autopsy: fake trades, bad comments, bad risk habits and corrected process.
What Retail // Reset avoids
- No signal cosplay: no “guaranteed move,” no prophecy, no fake certainty.
- No cropped PnL theatre: process matters more than flexing.
- No undisclosed conflicts: sponsorships, links and incentives must be obvious.
- No community bag cult: coins are research objects, not identities.
- No hiding failed models: failed ideas go into the learning record.
| Post type | Required context | Why it matters |
|---|---|---|
| Chart note | timeframe, level, invalidation, alternative scenario | Stops the post becoming a vague “up or down” horoscope. |
| Coin note | market cap, supply, unlocks, custody/control, failure condition | Prevents narrative from hiding token mechanics. |
| Stablecoin note | issuer, backing, freeze power, reserve source, redemption route | Stable does not mean safe. |
| Indicator note | what it measures, what it cannot measure, false-signal conditions | Tools are instruments, not prophets. |
| Correction | old claim, new evidence, changed conclusion | Trust grows when errors are handled cleanly. |
corrections · model humility
The brand is stronger when it can admit a miss.
Corrections are not weakness. They are the difference between research and performance. A public evidence trail should make it easy to see what changed and why.
A chart note, model, date window, stablecoin statement or risk claim is published with enough context to be checked later.
New price action, issuer disclosure, law, reserve report, market data, chart invalidation or source correction changes the read.
The correction states the original claim, what was wrong or incomplete, the new evidence and the updated conclusion.
The relevant site page is updated so the archive does not keep teaching an old mistake.
content pipeline · from lab to public
The site is the archive. Socials are the broadcast layer.
The clean workflow is simple: research in the lab, polish the page, then cut the public version into short notes, videos and downloadable assets. Social media should point back to the structured archive instead of replacing it.
stage 01
Research Lab
Save the chart, mark the phase, record the ratio, list the evidence, note the weakness and keep screenshots.
proof before performance
stage 02
Breakdown Page
Turn the research into a readable thesis: what it means, why it matters, where it fails and what to watch next.
make it teachable
stage 03
Social Clip
Cut one clean idea into a short post or video: one pattern, one risk, one lesson, one link back to the archive.
one idea per post
stage 04
Download Pack
Release indicator code, screenshots, CSV examples, study notes or HTML packs when they help people verify the lesson.
make the receipt portable
stage 05
Community Thread
Invite critique: what did the model miss, which source is weak, which condition invalidates the idea?
argue with the model
stage 06
Correction / Follow-up
When the market or source proves something wrong, update it in public and point back to the amended archive.
no ego burial
The title cards hold the logos and the links.
Each tile has a platform logo slot, the placeholder public name Retail // Reset, and a platform link. Replace the URLs after the official accounts are claimed. Until then, the visible name stays consistent and professional.
YouTube
Long breakdowns, Bitcoin cycle lessons, Wyckoff/Fib/Elliott overlays, stablecoin risk maps and screen-recorded research walkthroughs.
X / Twitter
Fast chart notes, source links, model updates, correction threads, page releases and public hypothesis logs.
TikTok / Shorts
Short retail autopsy clips, one-pattern lessons, indicator warnings and quick “what went wrong” teaching moments.
Discord / Forum
Community research, chart homework, feedback, evidence packs, module discussion and signal-free structure talk.
GitHub / Downloads
Indicator versions, website packs, public changelogs, CSV examples, exported charts and open educational assets.
Corrections / Contact
Source submissions, chart corrections, bug reports, indicator feedback, broken links and model updates.