D·AIX vs Baward

A patience analysis and management application for stock holding process, as well as patience change management. Main functions 1. Fill in the basic information related to the stock and multiple evaluation dimensions. The system generates a patience score of 0-100 points through a weighted algorithm and divides it into five levels for intuitive reference. 2. Display all patience analysis information during the holding process in card form, supporting filtering by level, left scrolling deletion, and viewing details. 3. It is possible to add records of changes in patience scores during the holding process, set the magnitude of the changes, automatically calculate and update scores, and arrange all records in reverse chronological order. 4. Summarize all data and present multidimensional insights in the form of charts and data cards to help users sort out patient changes in stock holdings.

No leveraged trader forgets their first liquidation. Here it costs nothing — the assets are fictional, the funds are virtual, and the lesson still lands. You start with a practice balance and fourteen invented digital assets spread across six sectors, from infrastructure networks to gaming tokens. A built-in simulation engine gives each one its own temperament: calm weeks, violent days, trends that form and fail. Candlestick charts with moving averages and a press-and-hold crosshair let you study every move across eight timeframes. Trading works the way derivatives actually work. You choose a direction, commit margin, set leverage anywhere from 1x to 20x, and attach a take profit or stop loss if you have a plan — the order form shows the fee and the liquidation price before you confirm anything. Open positions live on a dashboard that tracks equity, margin in use, and profit and loss second by second, and every closed trade is filed with the way it ended: by your hand, by your plan, or by liquidation. What the practice adds up to, the app counts for you: • a Stats panel that turns closed trades into win rate, profit factor, and average win against average loss • a trade History you can export as a CSV file and review in any spreadsheet • forty-one original articles, from a guide that documents every screen of the app to essays on risk and trading psychology Some of those articles start with questions — why does a 20% loss need a 25% gain to repair? where should a stop loss actually sit? — and the answers wait inside, next to the charts they apply to. Everything is simulated: fictional assets, engine-made prices, virtual funds. No real money is involved, nothing here is investment advice — and the leverage that is painless here involves real risk of loss on any real market. Trade badly, learn cheaply, come back sharper.