📈 The Different on ATH day $BTC ETF Cash Flow: +$607.1 mil | TheCryptoFire on Binance Square

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📈 The Different on ATH day$BTC  ETF Cash Flow: +$607.1 million
$ETH  ETF Cash Flow: +$0.6 million
#BTCETFS #ETHETFS 

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How to Find the Next Crypto Moonshot (Part 1) Want to turn $1,000 into $10,000? Hunting moonshots isn’t luck, it’s process. This is Phase 1: the fast, practical steps to find low-cap projects worth researching. 1. Begin with reliable dashboards: CoinGecko, CoinMarketCap, and the CEX listing pages. Filter new listings and build a candidate list. Target market caps roughly $10M–$50M. Ignore tokens with tiny daily volume, look for at least ~$500K in tradable liquidity so you can enter and exit. 2. Sector focus (don’t chase random hype): Pick sectors with real tailwinds. Right now watch: DeFi 2.0 (security + composability), AI × blockchain, Layer-2 scaling, cross-chain liquidity, and NFT infrastructure (utility, not just images). 👉 A good sector lift can turn a mediocre token into a 10x, a dead sector usually crushes even solid projects. 3. Community signal: Check Telegram/Discord chats and skim history - real questions and debates beat emoji spam. On X, look for organic replies, not only retweets and bots. Rapid, huge jumps in followers often mean airdrop farming. You can check them on telemetr.io (The second picture for reference) 4. Quick red flags: - Fake social engagement or bought followers. - Low liquidity or tiny order books. - Empty developer activity or a dead roadmap. - Aggressive token unlocks with big insider holdings. Phase 2 will dig into tokenomics, on-chain signals, and risk sizing. Subcribe for more!!!

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Build Your Own Trading Bot — No Coding Needed You can create a trading bot without writing a single line of code. Today AI can generate clean, accurate Pine Script that can raise a strategy’s success rate toward ~50%. It’s that simple👇 A. Quick steps (4 lines): 1. Paste your indicator code into the template - replace placeholders (Code in the picture below👇). 2. Send the prompt to ChatGPT. It should return a full Pine code strategy. 3. Paste the returned code into TradingView Pine Editor and compile. 4. If errors appear, paste the error text back to ChatGPT with: “Why this error and fix it. Show corrected code only.”. ChatGPT will explain to you why and give you the code to fix the strategy (The second picture) B. Common fixes to ask AI for: - Missing function names or deprecated calls → update to v6 equivalents. - Type or scope errors → fix variable declarations/assignments. - Plot vs. strategy functions mixed → convert plots and add strategy.entry/exit. Quick compile checklist: - Strategy compiles with no errors. - Plots match original visuals. - Start/End inputs exist and work. - Only long entries created. - Add ATR stop-loss to improve the winrate (Use the prompt in the third picture to get the stop-lost code). - Backtest runs with commission/slippage included. That’s it! Use the template, iterate on fixes, and repeat until clean. Want me to share more the template with higher winrate? Subcribe for more!!!

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How do you gather trading information before you place a trade? (Part 3) If you made it this far, you genuinely want tools that add real insight and help you make right decisions. Part 3 covers four pro tools, use them together to see momentum, fundamentals, and sentiment before you trade. TradingView: TradingView is the charting hub. It gives real-time charts, powerful indicators, and community scripts you can use right away. Use its screeners and alerts to find setups, combine indicators to backtest, and follow ideas from traders in the public script library. If you trade with technicals, this is where you build and test patterns. DeFiLlama: DeFiLlama shows where capital actually sits in DeFi. It tracks TVL, fees, and liquidity across chains and protocols. Use custom dashboards to compare chains, spot rising TVL, or find airdrop signals. For fundamental DeFi research, this is the fastest way to see which ecosystems are growing or bleeding liquidity. Santiment: Santiment blends on-chain metrics, social volume, and developer activity. It helps you spot whale accumulation, sudden social spikes, or development slowdowns that aren’t obvious from price alone. The UX can be clunky, but the signals are useful when you want to catch narrative shifts before they hit the charts. LunarCrush: LunarCrush is a social analytics engine. It aggregates posts, influencer activity, and trending topics across X, Reddit, and more. Use TopicRank and CreatorRank to find which stories are gaining steam and which creators are actually moving markets. It’s the fast way to spot early FOMO or fading narratives. One-line workflow: Chart your setup on TradingView, confirm DeFi health on DeFiLlama, check on-chain and social leads on Santiment, and use LunarCrush to time narrative moves.

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How do you gather trading information before you place a trade? (Part 2) Trading isn’t simple. Noise and unverified narratives can lead many of our investment decisions astray. That’s why I’m following up Part 1 to share more crypto analysis tools. I hope you’ll try these tools and make smarter investment choices. Artemis Artemis shows on-chain capital flow and sector trends in real time. Use Chain Compare and the Digital Asset Treasuries view to spot where institutional money is moving and which chains or sectors are heating up. CoinGlass CoinGlass is built for derivatives traders. It shows open interest, long/short ratios, funding rates, and a liquidity heatmap (Legend). Use it to spot squeezes, liquidation zones, and short-term sentiment shifts. Crypto Bubbles Crypto Bubbles is a simple visual scanner. Coins are bubbles sized by market cap and colored by performance. Use it for quick idea generation — find fast movers or weak coins before you dig deeper. CoinStats CoinStats is a portfolio manager that syncs wallets and exchanges. It tracks P&L, DeFi positions, and NFTs in one dashboard. Use it to monitor holdings and spot exposure across multiple accounts. One-line combo Watch flows on Artemis, check derivatives and liquidity on CoinGlass, scan market leaders quickly with Crypto Bubbles, and manage risk with CoinStats.

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How do you gather trading information before you place a trade? For me, I use several crypto analysis tools, and this is part one of the best ones on the market. TokenTerminal: TokenTerminal reads crypto like a company report. It shows fees, revenue, and sector leaderboards. Use it to find projects that actually earn money and to compare which platforms make real revenue. Glassnode: Glassnode is your on-chain microscope. It turns raw blockchain data into signals about holders, supply shifts, and profit/loss. Use it to check whether whales, retail, or miners are driving a move. Messari: Messari gives research and context at scale. It hosts deep reports, fundraising data, and narrative tracking. Use it to vet teams, roadmaps, and the bigger story behind a token. CryptoQuant: CryptoQuant tracks exchange flows, reserves, and funding rates. It alerts you to big inflows/outflows and liquidity shifts. Use it to spot when sell pressure or accumulation is about to change price action. How to combine them: Start with TokenTerminal for fundamentals. Check Glassnode for on-chain health. Scan CryptoQuant for liquidity risk. Read Messari for the narrative and fundraising context. Only trade when at least two tools point the same way.

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