Nice bro so we both have been through all ftx luna era 🤣🤣 I lost 250k in luna scam
THT CRYPTO
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I’ve gone broke in crypto a total of 3 times.
The first:
• I started with $100 in Shiba and made a 14x • I began putting part of my paycheck into crypto every month • Bought tokens at peak 2021 prices like ADA ($2), VET, BLOCK, KDA
I ended up losing it all and swapped to SOL to buy NFTs.
I spent all of 2022 on Solana, made money with NFTs like Cets, SMB, Foxy, SoDead, Jikans.
Then FTX collapsed. My entire bag was in SOL. I lost almost everything overnight.
With what I had left, I moved to Polygon at the end of 2022.
I spent all of 2023 in Polygon and its NFTs.
I also tried learning how to trade. It didn’t go well.
My bags went to 0 (even more than before) and I went broke again.
I took the little I had left and what I was earning and started to diversify.
I focused on what I felt I was good at and stopped trading.
I started investing with a long-term mindset again.
This time, it worked.
Now I’m a full time creator something I’ve always dreamed of.
Direction: LONG ⬆️ Entry Type: Limit Order (wait for a pullback) 📝 Entry Zone: $2.20 - $2.50 Leverage: 5-10x (Cross Margin Recommended) ⚖️ Target Price (TP) Zones: TP1: $2.55 🟢 TP2: $2.65 🟢 TP3: $2.75 🟢 TP4: $2.90 🟢 Stop Loss (SL): SL: $2.05 🔴 🔍 Analysis: The ASTER/USDT pair has shown incredible strength, breaking through previous resistance and establishing a new all-time high. While the RSI indicates an overbought condition, the overall bullish momentum is very strong, and it's a classic case of momentum trading. We are looking for a small pullback to a key support level to enter a long position, aiming to ride the continuation of this powerful trend. $ASTER
🚀 $BOB BULLISH – COULD THIS BE THE NEXT 800,000% MEME COIN EXPLOSION? 🔥 After $DOGE , $SHIB , $PEPE , and $BONK delivered life-changing returns, emerging as the next contender in the meme coin space. Price is holding firm near its support base, suggesting strong accumulation. With community backing growing and speculative momentum building, could be preparing for a major breakout that mirrors past meme coin rallies. Trade Setup: Entry (Long): Accumulate near current consolidation zone Targets (TP): First TP at recent swing high, extended TP aiming for a “zero cut” Stop Loss (SL): Just below the support zone to limit risk Market Outlook: Meme coins thrive on community hype and whale participation. If continues to gain traction, it could be the next explosive multiplier in the meme coin cycle. High risk—but potentially high reward. #BOB #MemeCoins #Bullish #Altcoins #Next100x 🚀
How does Pyth Network differ from other blockchain oracles.
Pyth Network differs from other blockchain oracles primarily in its data sourcing, delivery model, and target use cases, with a special emphasis on financial market data. The major differences include:
Data Source
Pyth Network uses a first-party data sourcing model, receiving price and market data directly from major financial institutions, trading firms, and exchanges such as Flow Traders, Jane Street, and CBOE. This direct connection to the original sources ensures higher data accuracy, freshness, and trustworthiness.
Data Delivery Model
Pyth adopts a pull-based model, where data is published on-chain only when requested by consumers. This reduces blockchain congestion, cuts transaction costs (gas fees), and makes data delivery more efficient for high-frequency use cases.
Other oracle networks like Chainlink primarily use a push-based model, continuously sending data updates on a schedule or triggered by conditions. This can ensure constant freshness but often results in higher costs and network loading.
Focus and Speed
Pyth is optimized for high-frequency, ultra-low latency financial data, with updates occurring roughly every 300-400 milliseconds, which is crucial for applications such as high-speed trading, decentralized lending, and derivatives.
Governance and Transparency
Pyth leverages on-chain aggregation and a decentralized governance structure via the PYTH token, focusing on transparency and community-driven decisions.
Use Case Specialization
Pyth’s niche is financial data for DeFi, making it well-suited for applications heavily dependent on accurate, real-time market information from reputable sources. Other oracles like Chainlink offer general-purpose decentralized oracles that cover a wide variety of data types and industries.