If You’re Good at TradingView, Start with 1K Scanner First: Split Discovery from Deep Analysis
Why strong TradingView users should run discovery in 1K Scanner first, then hand off only high-value candidates for deep analysis.
Read entry ->Latest Notes
Observations, decisions, and workflow notes from production use of 1K Scanner
Break vs Reclaim: When You Separate Them, You Chase Less
Separating Break from Reclaim gives you a reason to wait—so you chase less.
Read entry ->You wobble less with a candidate pool: how a scanner reduces FOMO
Why building a candidate pool reduces FOMO, explained through Bias → Context → Trigger.
Read entry ->Why screenshots become review evidence: the pros and cons of image-based records
Screenshots preserve real-time context and make reviews more evidence-based, but they also carry framing bias and hide sequence.
Read entry ->Why Wyckoff Phases Must Be Read on HTF: Historical Context and Practical Use
Wyckoff Phases gain meaning only inside the higher‑timeframe story. This post summarizes a practical, context‑first way to read them.
Read entry ->The Same Questions in Wins and Losses: It Wasn’t the Stop, It Was the Question
What separates wins from losses is not the stop line, but the structure of the question you ask.
Read entry ->Failure Study (20): Why practical mistakes repeat and how to correct them
Correction starts when the event fades and the structure remains.
Read entry ->How to reduce FOMO entries: prebuild your candidates before the move
A practical routine to reduce emotional entries by preparing candidates in advance and managing each one with assumption, constraint, and trigger.
Read entry ->Download/install failed? A user-first troubleshooting checklist to your first scan
A practical checklist for resolving install failures quickly, then validating 1k_scanner with a real user workflow from run to scan to notes.
Read entry ->Review template: stop saying ‘the signal was wrong,’ log assumption/constraint/trigger instead
A user-first post-review routine for replacing ‘the signal was wrong’ with Assumption/Constraint/Trigger notes, so the next session becomes faster and more consistent.
Read entry ->Screenshot + manifest: turning blurry chart captures into structured evidence
A user-first routine for turning chart screenshots into structured decision evidence in 1k_scanner using grid modes, check notes, EMA/NRZ interpretation, and template replay.
Read entry ->Filters and sorting are not search engines: they are candidate-narrowing tools
In 1k_scanner, filters and sorting are for narrowing candidates first, not for giving immediate trade confirmations. A practical workflow for trading-focused scanning.
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