Copy Trading has been one of our most requested features since we first launched @mobyagent. And I believe we have the most sophisticated offering on the market: 1. Automated Stop Loss set on every copy buy (downside protected at entry) 2. Only Copy Buys - you manage your sells, either manually or through auto SL. 3. Optional auto Take Profit - lock in your upside, 24/7. Moby tracks the best wallets onchain. Whether they are KOLs, anon whales, insiders, etc. And now you can easily build your own automated strategy to tail them. Great way to get constant exposure to the trenches - without needing to stare at charts all day.

Recognized this wallet immediately! As an avid @mobyagent user, I'm building a list of all the best smart money wallets, and this one is top tier. Up $1.7M in 30d profit: STONK Whale E249 🔹 First whale to buy $ZCAT at 42K 🔹 Value of $ZCAT holding is $1.1M 🔹 Best trade was $STONK 🔹 Value of $STONK holding is $1.2M 🔹 60% win rate (1,914 wins, 1,276 losses) 🔹 Low cap trader See all this data and more only on @mobyagent Will be posted a walkthrough video on how I find these wallets soon👀🔥🤝

Why limit yourself to trading signals from one platform? Moby combines calls from multiple SocialFi apps with whale activity, KOL trades and top-performing anonymous wallets. See who's buying, selling and calling tokens across different ecosystems, all on one chart. app.moby.win

Here is exactly how I hunt for top-tier wallets using @mobyagent This is Pt. 1: Finding the earliest and most profitable whales Posting a Pt. 2 soon on how I find "insider" wallets 👀🤝

The data behind some of the largest on chain buys may surprise you… In my article, I explain that not all smart money behaves the same way, and understanding their behavioural patterns help clarify what kind of opportunities they tend to pursue. Over the past several days, I’ve been observing Whale Watch (from @mobyagent) more closely, specifically tracking $10K+ buys and identifying the largest buys made by the most experienced wallets. What stands out is that the largest buys are overwhelmingly concentrated in business-backed tokens. This is happening while many of these same tokens are significantly down on the year: > $RAY @Raydium: down 81% (active 5 years) > $JUP @JupiterExchange: down 79% (active 2 years) > $BONK @bonk_inu: down 55% (active 3 years) > $MET @MeteoraAG: down 65% (active 5 months) > $WET @humidifi down 45% (active 3 months) Net flows across several of these tokens remain negative, which suggests broader market hesitation and distribution. However, the larger individual buys tell a different story. Recent notable buys include: > $48.9K into $WET > $60.6K into $PUMP > $29.9K into $MET > $47.8K into $RAY > $86.5K into $JUP > $111.4K into $INF > $43.7K into $UMBRA (over the last 72hrs alone) The largest single buy I identified over the past three days was $584K into $JitoSOL. These findings support the rotation strategy I outlined in a previous article: use short-term profits from high volatility trades and rotate those gains into fundamentally stronger, business-backed tokens for longer term positioning over several years. There are absolutely profits to be made in memecoins if you are disciplined and understand the environment. However, statistically, most participants lose in that arena. Long-term positioning in infrastructure and business-backed protocols may ultimately offer a more sustainable path to significant gains. Many of these protocols are essential pieces of on-chain infrastructure. Most users interact with them regularly, without realizing it. While retail participants panic sell near ATLs, smart money appears to be positioning for the next cycle. I’m observing carefully. Read more on my analyses and the tools I use to build them below👇