Data driven means that your decision are driven by data and not by emotions. This approach can be very useful in stock market investment. Here is a summary of a data driven approach which I have been taking recently

數據驅動意味著您的決定是由數據而非情感驅動的。 這種方法在股票市場投資中非常有用。 這是我最近采用的數據驅動方法的摘要

停止按庫存分析庫存 (Stop analysing stock by stock)

Being a data scientist, the one thing which I do not like about existing stock market tools is that the analysis is done in a very crude way. The analysis has still to be done for each stock symbol. Something like this

作為數據科學家，我不喜歡現有的股票市場工具的一件事就是分析是非常粗略的。 必須對每個股票代號進行分析。 像這樣

Choose a stock, Analyse it, decide on buy/sell

選擇股票，進行分析，決定購買/出售

Go to second stock, Analyse it, decide on buy/sell

轉到第二只股票，進行分析，決定買入/賣出

Go to third stock, Analyse it, decide on buy/sell

轉到第三只股票，進行分析，決定買入/賣出

etc…

等等…

This forces you to choose stock in first place. And the way you choose the stock is based on intuition or news you read about the stock. So there is already some bias introduced in the selection process.

這迫使您首先選擇庫存。 選擇股票的方式是基于您對股票的直覺或新聞。 因此，在選擇過程中已經引入了一些偏見。

The approach which I am using is top-down. Take all possible stocks and then analyse all together

我使用的方法是自上而下的。 盤點所有可能的股票，然后一起分析

This way I do not have to think of selection of a particular stock in one place. I just take all stock symbols and analyse all together. Shown here is analysing all stock of CAC40 (French Stock Market)

這樣，我不必在一個地方考慮??選擇特定股票。 我只考慮所有股票代碼并一起分析。 此處顯示的是分析CAC40(法國股票市場)的所有庫存

What I get is graph of all stocks together.

我得到的是所有股票的圖表。

This saves me immense amount of time. Earlier I used to spent hours to get the visualisation for 40 stocks. Now I can get visualisation for 40 stocks in matter of seconds

這為我節省了大量時間。 早些時候，我曾經花了幾個小時來獲得40只股票的可視化。 現在，我可以在幾秒鐘內獲得40只股票的可視化

儀表板風格在同一視線中呈現多種視覺效果 (Dashboard style multiple visualisations in same sight)

For those who have been in data profession, know the importance of dashboards which gives multiple visualisations to see at the same time. It helps you make better decisions.

對于那些從事數據行業的人來說，了解儀表板的重要性是可以同時看到多個可視化內容的。 它可以幫助您做出更好的決策。

This approach is very suitable for stock analysis, as one has to focus on multiple technical indicators.

這種方法非常適合于庫存分析，因為它必須關注多個技術指標。

The above is a good example on power of “seeing” multiple visualisations at same time. The moving average shows an uptrend. However the candlestick graph shows loss in momentum. So there might be a downward trend which might be starting, so would be better to stay away from this stock

上面的示例很好地展示了同時“看到”多個可視化效果的能力。 移動平均線顯示上升趨勢。 但是，燭線圖顯示了動量損失。 因此，可能會有開始下降的趨勢，因此最好遠離該庫存

根據各種標準進行排序 (Sorting based on various criterions)

The sorting functionality is key for any data driven approach. So in my approach I have developed sorting based on various criterions such as Trend, Difference with Moving average etc..

排序功能是任何數據驅動方法的關鍵。 因此，在我的方法中，我根據各種標準(例如趨勢，與移動平均線的差異等)開發了排序。

Just by sorting based on Trend High to low, surfaces “safe or less risky” stocks at the top

僅根據趨勢從高到低排序，頂部的“安全或風險較小”的庫存

As you can see that CAP.PA surfaces to the top as it has been top trending since long time. This can be confirmed by its upward climbing moving average line. Now that is being data driven. Let data tell you the nature of the stock rather than deciding based on any intuitions

如您所見，CAP.PA一直處于頂部趨勢，因為長期以來一直是趨勢。 這可以通過其向上攀升的移動平均線來確認。 現在這是數據驅動的。 讓數據告訴您股票的性質，而不是根據任何直覺來決定

加入我的網站 (Join my website)

If you are interested in my approach , I have it available on my website https://www.nziter.com. Please check out it.

如果您對我的方法感興趣，可以在我的網站https://www.nziter.com上找到 。 請檢查一下。