You can't ignore $SOL anymore ....Mark Meh Words $SOL gonna explode from now onward......
I already told you to watch this structure, and #SOL is respecting it perfectly.....
Price is consolidating inside a clean range after a strong impulse, building strength for the next leg.
This is not weakness this is controlled price action.
As long as SOL holds the range support, the higher move remains the base case.
Support Zone: $118 – $122
Resistance: $135 – $145
Upside Targets: $160 → $185 → $220
This is how strong trends behave push, pause, then continue.
No noise, no panic, just structure doing its job.
Trust the pattern. Trust the levels.
More clean Alpha setups ahead.
🚀 $STORJ Momentum Is Back in Control
{spot}(STORJUSDT)
$STORJ just delivered a strong breakout with +32% upside, showing clear strength after consolidation 📈
Price pulled back, cooled off, and is now building higher lows — a healthy bullish structure, not random pumping 💪
Volume expansion confirms real demand, not just short-covering, which keeps this move sustainable 🔥
📌 Trading Setup (Short-Term Swing)
🟢 Trade Setup: Long
📍 Entry Zone: 0.148 – 0.153
🎯 Target 1: 0.165
🎯 Target 2: 0.171
🎯 Target 3: 0.180
🛑 Stop-Loss: 0.144
This is how strong trends pause before continuation — patience pays here 🧠
Follow me for clean setups, real-time signals, and market structure insights 📊🚀
#STORG
AI Price Forecasts for Bitcoin, Ethereum, Solana, and XRP in 2025 Which Models Actually Work?
AI’s getting sharper by the day, and honestly, you can’t scroll through crypto news without tripping over some new prediction bot. Bitcoin, Ethereum, Solana, XRP whatever coin you’re watching, there’s an algorithm somewhere claiming to know where it’s headed next. But let’s be real: can you actually rely on these AI-powered forecasts for 2025?
Here’s what’s really going on. Most AI models fall into three main types. First, there are the classic chart-watchers. They pour over old price graphs, track every hiccup in volatility, and obsess over technical signals. They do alright when the market’s following the script. But the moment things get weird think surprise regulations, sudden shocks, or a flood of new money they’re clueless. Fast-forward to 2025, with governments and big players throwing their weight around, and these old-school models are already starting to show their limits.
Then there are the models built around sentiment and on-chain data. These are a bit more plugged in. They watch social media, monitor what developers are building, track wallets, and follow the money. For coins like Ethereum and Solana, where what’s happening on the network matters as much as the price itself, these models usually have a better grip on reality. They’re not just asking, “Where’s the price been?” They dig into, “Who’s using this thing, and why does it matter?”
Finally, you’ve got the big-picture models. These try to blend everything interest rates, ETF flows, global news, crypto-specific trends into one giant stew. They rarely spit out a single magic number. Instead, you get a range. Some people complain that’s not precise enough, but honestly, in a market this wild, that’s probably a good thing.