How can you make technical analysis easy for non-technical stakeholders?

A great method to translate technical analysis to a non-technical team member is to use one of the following methods: 1. Use relatable analogies. If you can connect the technical analysis to a day-to-day real-life scenario, it will bring your analysis to life. 2. Before launching into real numbers - try using easy math to illustrate a point. An easy way to do this is multiples of 5 and 10, which are easy to compute in your head. For example, I once described the concept of workforce interval planning (planning staffing to cover incoming processing volume) like a bank account; money comes in and out every moment of the day, and you need to make sure you have funds to cover it.

As a manager, making technical analysis easy for non-technical stakeholders involves effective communication and simplifying complex concepts. Start by understanding the needs and knowledge levels of your audience and tailor your explanations accordingly. Utilize visual aids, like charts or diagrams, to present information in a clear and concise manner. Break down technical jargon into layman's terms and provide real-life examples to illustrate complex concepts. Encourage questions and feedback to ensure understanding and offer additional resources for self-study. By bridging the gap between technical analysis and non-technical stakeholders, you can facilitate better decision-making and collaboration within your team and organization.

Since a technical analyst's audience is basically non-technical peeps, the best way to effective communication and share of value is to come down to their level of understanding and that starts with using simple language. I personally use "pidgin English" to teach sometimes when my audience understands that better.

Recognizing that newcomers often struggle with everyday terminology is crucial. To facilitate their learning journey: Reiterate important points to strengthen memory. Repetition aids memory retention. Involve learners by posing questions. This stimulates active thinking and encourages participation. When confronted with complex concepts, dissect them into smaller, more manageable segments. Explain each part before linking them together. Use Everyday Language: Opt for the language of everyday conversation that your audience is familiar with.

The easiest way to convince me you understand a thing is to bring the information down to my level of thinking and reasoning without diluting the originality of the information. The essence of that is to understand and simple language, demonstration, analogy, case studies etc can simplify the information and that is where to go.

Visualizations are data stories made by transforming the data quantitatively, defining relations, and patterns, and creating interactive images. Data visualizations make big and small data easier for the human brain to understand, leading to better analysis. The human brain is not able to understand or even just imagine large amounts of numbers or text at once. It needs a visual representation to make sense of them and consequently translate raw data into tangible concepts.

Data visuals are actually the main event and story that happened on the chart and the ability of the technical analyst to interpret that appropriately to non-technical stakeholders. Tableau, R, histogram, bar chart, candlesticks are all form of visuals that can be easily grasp by non-technical stakeholders.

Technical analysis in trading is essentially a process of visualizing chart patterns to predict future market movements. Developing this skill hinges on consistent practice. A highly effective technique that has aided my technical analysis is dedicating extended periods (ideally three months or more) to a single indicator. Each day, I engage in chart analysis, make forecasts, and then revisit them later to assess their accuracy. This method has significantly enhanced my ability to visualize chart patterns, and the more I practice, the clearer this visualization becomes.

Data visualization is a great skill I learnt. Whatever information you see on the chart in form of candlesticks, linechart, barchart, histogram etc represents visualize data of price action and market behavior. As a technical analyst, you must be able to perform basic visual analyst role for most of the times when telling the price story. Showing the movement and structure is not enough, you must attach a relatable story of what happened with the visual you are showing to non-tech stakeholders.

Storytelling skill is the most important to make technical analysis easy for non-technical stakeholders. A story can be crafted with words ( insights) , a story can be stitched together with pictures ( say process flow diagram ) and story can be communicated with data! Have a clear understanding about the technical problem you are trying to solve. Put that in easy language without technical jargon’s. Add process flow diagram to support the problem and communicate the actions or solutions via charts.

Charts are like storytellers. Reading their historical data allows you to narrate the next chapter effectively. Key to this is understanding what drives a stock's movements. Is it influenced by news, earnings, or technical factors? If it's the latter, which specific indicators are at play? They hold the clues to the story. Reading and interpreting this story isn't just an enjoyable skill-building exercise; it empowers you to craft the rest of that narrative like an author, and this is what trading is all about.

As I said, telling a story makes the understanding seamless. As human, we tend to understand story more than figure in most scenarios because we can easily zone in and visualize and play the story in our head time after time which is not the same for numbers and formulas. That story telling part in explaining technical analysis is one priceless part I love to see.

As I said above, relatable story telling to demystify the ambiguity of the whole complex chart pattern is an interesting part to relate so well with your audience as a tech analyst. Come so low to their level, communicate essence and value at the same time. You would be glad to have spent a short time to deliver a complex presentation.

Do you mean technical analysis of markets for trading and investing? 1. Remember that all technical indicators are lagging indicators. 2. The central truth you must accept is that markets have support and resistance levels and will respect them in one way or another. 3. Technical analysis is not for predicting market direction but for planning how you will control and manage risk. You don't need to predict to profit. With the above you can craft a consistently profitable strategy. Anything more is for showing off at parties or on YouTube.

Feedback is useful and handful. Take your feedback seriously and apply SWOT to aid your improvement. If we know better, we will do better.

Remember that time, when the world of stocks and finance seemed like an intricate puzzle to all of us who are called experts now, but with dedication and continuous learning, we unraveled its mysteries. Reflecting on the challenging and frustrating moments, we aim to present a simplified version of technical analysis. Our goal is to make it accessible and understandable for everyone, fostering a love for investment. It's human nature to shy away from what seems difficult to comprehend, and we want to bridge that gap.

In some instances, it is helpful to conduct working sessions and perform discovery. Phrase presentations depending on target audience. Some like snapshot, some like details and some like interactive. And for some it interests with graphs (and colors used in graphs). This is very vast subject and no definitive approach.

Probably one should consider acknowledging their own need for professional training in technical analysis they have claimed expertise in. Rationale: Technical analysis by definition is the act of bringing technical insights, internalised through adequate education and hands on domain experience to levels necessary for understanding all relevant stakeholder, irrespective of their own competency in the given domain of technical analysis. For practical purposes, technical analysis is not complete until the conclusions and rationale are written up in a way that is comprehensible to every stakeholder, including those without prior domain expertise or experience keeping in mind comprehension is a human attribute, and not a domain expertise.