What are the most effective ways to present TA risk data visually?

1. **Traffic Light System**: Use a **traffic light system** to indicate risk levels. Red signifies high risk or danger, yellow represents caution, and green indicates low risk or safety. This approach is widely recognized and intuitive. For instance, you can color-code risk elements in your charts or dashboards. 2. **Bow-Tie Diagrams**: The **Bow-Tie method** visually depicts the interdependencies between risks. It outlines plausible scenarios by highlighting the flow of cause, control, and consequences. This design distinguishes proactive and reactive risk management elements. Consider using this approach to show relationships between risks and projects.

It’s all about reading the data presented on screen in real time and processing it in milliseconds to come to a profitable concise decision especially the price action in percentage

The key skill to develop is creating a balance between a visual display that helps you understand what you are seeing quickly and a visual display that overwhelms you. When creating charts, keep things simple and focus on adding visualisations that assist in your required decision. There is very little value in adding multiple indicators to a chart while overlooking basic market structure. Understand the importance and priority of each element and then use them sparingly. The goal is to make fast, effective decisions that lead to less risk and more profit. That’s it.

Charts and data are very effective in showing risk data on the chart. Histogram is a good one as well to enable see clearly the momentum and intensity of market rally to any side. Chart can help to quantify the difference in risk to reward ration. Graphs can give information on the flow of market volatility. Thanks to previous data that helps to study much about the reactions of price using charts and graphs.

Risk-o-meter is a valuable tool for assessing the associated risk with investments. It is a pictograph, a half circle divided into six parts showing different levels of risk, from low (dark green) to high(dark red), printed on the top of scheme-related documents. This simple speedometer-like picture gives investors an idea of the risk level of that particular scheme and helps them to make investment decisions accordingly.

The use of colour makes some information distinctively engaging with the brain. Like why do we have red and yellow in most of the fast foods\eatery? That is to say it is hot and fresh. The same in TA, red appears as danger and green appear as peace of mind on whatever. **smiles* Colours help to get it clearer and faster, depending on a technical analyst is painting it and showing it.

Use of annotation will help highlight important info that has a tendency of been forgotten. Example figures, some brains can not retain figure for long. Make relatable examples and label the scenario with something you had related it to which is easier to remember anytime you see on the chart or pattern.

T It’s all about reading the data presented on screen in real time and processing it in milliseconds to come to a profitable concise decision especially the price action in percentage

For simplified organizational display especially when it has to do with ranking, priorities or any form of order, tables are so cool. To memorise top-down will become easier. Dashboard will offer so many features that will interpret data in its simplified form without much explanation even to a non-tech individuals learning risk data visually. Max profit\loss recorded can be easily understood, compare and get an insight without really knowing much technically, but the presentation do the justice.

Story telling is a forever golden strategy to present to an audience in any case study. Bring it to visible attributes that are more relatable to the audience and the flow and interaction would confirm to you that you are illustrating rightly. Do not get lost in the story and leave the real deal, analogy should be analogy. Bring technicals to practical, let the message be passed and actionable results should follow sequentially.

It’s all about reading the data presented on screen in real time and processing it in milliseconds to come to a profitable concise decision especially the price action in percentage

In my experience, adding annotations and labels to chart can also provide and clarify context and also highlighting key point to help with data visualization. This may include drawing trend lines and indicating technical indicators. With annotations you will be able to clearly compare your data as much as when you still use graphs and charts.

Todas as op??es apresentadas s?o do tipo estáticas. Há que se considerar as op??es dinamicas, n?o necessariamente uma filmagem cinematográfica, mas que dê um pouco de movimento nas tabelas e principalmente nos gráficos. E por quê n?o nas cores também?

Your spreadsheet is not just a record of what you did in the past. It's like a manual for your future trades. When you know your numbers, you can think about how each trade will affect your overall performance. Your statistics will be like a guide for your trading decisions. Here are some important things to keep track of: - How much you typically make when you win, compared to your total winnings. - How much you typically lose when you have a losing trade, compared to your total losses. - The percentage of trades you win, which is like your success rate or "batting average."