|
Aucun
expérience
|
0
produits
|
0
versions de démo
|
|
0
offres d’emploi
|
0
signaux
|
0
les abonnés
|
Independent trader focused on multi-timeframe market structure, price behavior, and evidence-based decision making.
I develop trading tools and explore AI-assisted market analysis to better understand uncertainty rather than predict markets.
I develop trading tools and explore AI-assisted market analysis to better understand uncertainty rather than predict markets.
Amis
Ajoutez des amis via leur profil ou une recherche d'utilisateur et vous pourrez voir s'ils sont en ligne
Hiroyuki Kadowaki
Market Story Visualization — PREPARE Is Not EXECUTE
The latest Aviation Landing analysis mapped back onto the original chart, showing what has strengthened, what remains unresolved, and what evidence would matter next.
AI-assisted analysis / experimental visualization.
The latest Aviation Landing analysis mapped back onto the original chart, showing what has strengthened, what remains unresolved, and what evidence would matter next.
AI-assisted analysis / experimental visualization.
Hiroyuki Kadowaki
Experimental Video Brief A short AI-assisted market brief based on structured multi-timeframe analysis from Aviation Landing...
7
Hiroyuki Kadowaki
Experimental Video BriefI also tested a short AI-avatar briefing based on the same market analysis shown below.
This is an experimental demonstration of how structured market-state information can be transformed into a short visual market brief.
https://youtu.be/8HSAM7bSWFg
This is an experimental demonstration of how structured market-state information can be transformed into a short visual market brief.
https://youtu.be/8HSAM7bSWFg
Hiroyuki Kadowaki
An experiment in AI-assisted market observation.
I used an Aviation Landing market-state export to provide structured multi-timeframe information to AI, then returned the resulting analysis to the original chart as a visual overlay.
The objective is not to generate a buy/sell signal, but to make the reasoning process visible: higher-timeframe context, structural conflict, lower-timeframe confirmation, and what still remains unresolved.
In this example, the AI identified a long-side directional hypothesis while keeping execution at NOT_READY — illustrating the distinction between directional bias and actual trade readiness.
Market state → AI interpretation → visual feedback to the chart.
Experimental workflow / analysis example only. Not investment advice.
I used an Aviation Landing market-state export to provide structured multi-timeframe information to AI, then returned the resulting analysis to the original chart as a visual overlay.
The objective is not to generate a buy/sell signal, but to make the reasoning process visible: higher-timeframe context, structural conflict, lower-timeframe confirmation, and what still remains unresolved.
In this example, the AI identified a long-side directional hypothesis while keeping execution at NOT_READY — illustrating the distinction between directional bias and actual trade readiness.
Market state → AI interpretation → visual feedback to the chart.
Experimental workflow / analysis example only. Not investment advice.