Hello,
Professional investor here. Yes, Stockopedia is brilliant. Probably the best out there. Hereās why: When picking the best stocks, either for a swing trade or for a long-term investment, truth is that itās going to consume a lot of time. Imagine spending 3-4 hours doing the research, only to find that this stock is rubbish. And then, you find a great stock, but then you realise you missed your chance after wasting 3-4 hours on the rubbish one. This is exactly when Stockopedia comes into play. The way they filter out the best-play stocks from the worst-play stocks is something that Iāve never seen before. By the way, Iāve got access to the Bloomberg Terminal and to be fair, even the Terminal doesnāt offer what this offers. Iāve only had them since December last year (2020) and god, itās a life-changer. Only thing missing is more information on analyst ratings, which Bloomberg offers in detail -which is key to understand sentiment. But Stockopediaās analysis really does work and as far as Iām concerned, all the stocks I found with them have nicely appreciated until now since December. Of course, we were in a strong bull market until now, so it also depends on how these stocks perform in a bear market.
Of course, you shouldnāt take their research as full on advice. The whole point is to see which stocks are best. So that when youāre expecting a technical breakout, the best stocks with the best fundamentals will breakout in the best way. On the other hand, I wouldnāt trust Simply Wall St. I tried a trial with them, I didnāt really like what I saw and the interface feels unprofessional. Same applies to Zacks.
At the end of the day, paying a high monthly cost for Stockopedia is definitely worth it. By picking the best stocks in a bull market, youāre bound to offset the monthly costs with the profits you make. Iād highly recommend them. Of course, Iām not giving you financial advice. Stockopedia isnāt financial advice as well, itās simply there to stop you from wasting time on stocks which are considered poor/rubbish. Thatās all there is. Then you take your analysis to the next step, such as technical analysis.