How Bitcoin Works When There Are No More Coins to Mine ⛏

Bitcoin has a hard cap of 21 million coins. About 20.023 million have been mined so far, leaving just under 1 million left. New coins enter circulation through block rewards: miners currently earn 3.125 BTC every ten minutes.

Every four years that amount gets cut in half, and around 2140 the last fraction of a bitcoin will be mined 🟠

After that, block rewards go to zero. Miners will earn only transaction fees paid by users. That is a real shift since fees today are a small slice of miner revenue. If they are not high enough to keep mining profitable, hash rate drops and the network becomes easier to attack.

❗️ Whether fees fill that gap depends on how much activity the network carries by then. Second-layer solutions like the Lightning Network could help by batching transactions and keeping base-layer demand high enough to sustain fees. That question will not be answered for over a century, but each halving is a smaller version of the same test.

One number worth keeping in mind: up to 20% of all mined BTC is estimated to be permanently lost. The real circulating supply is already below the nominal figures, and that gap only widens over time.

#FAQ

How to Track BTC ETF Flows 🔍

Spot Bitcoin ETFs hold actual BTC. When investors buy shares, the issuer purchases Bitcoin on the open market to match that demand. Flow data tracks the daily net change in BTC held across all products.

📈 This matters because ETF flows can diverge from price. In late October 2025, BTC was still trading above $105K, but net flows had already turned negative and kept falling through November and into winter. That was institutional demand quietly leaving while price looked fine. Watching flows then was an early signal to reduce exposure before the big drawdown hit.

Two tools cover this well. Coinglass breaks flows down by product with daily granularity, positive numbers mean inflows, negative mean redemptions. CoinMarketCap's ETF page gives a cleaner overview if you want totals and AUM without the raw table.

❗️ But remember: flow data shows the scale of demand through the ETF channel. It says nothing about spot or derivatives activity, which can dwarf ETF flows on any given day.

#FAQ

How to Revoke Token Approvals and Why You Should Do It Regularly 👛

When you interact with DeFi protocols, you often sign token approvals. That approval gives the protocol permission to spend tokens from your wallet, often with no cap and no expiration date.

🤔 The approval doesn't disappear when you stop using the app. It stays active indefinitely. If the protocol gets exploited later, an attacker can drain whatever you approved, whether you last opened that app last week or two years ago.

Revoking removes the permission. It is an on-chain transaction, costs a small gas fee, and takes under a minute. Checking your approvals every few months and clearing anything unused is a simple habit that meaningfully reduces your risks.

The default tool for all EVM chains is RevokeCash. It covers Ethereum and 100+ other networks, shows every active approval tied to your address, and lets you revoke them one by one. Connect your wallet, pick the chain, and work through the list.

👍 For Solana, the Revoker by Famous Fox Federation does the same job.

😘 MetaMask users can manage approvals at the Portfolio page under the spending caps tab.

🥰 If you use Rabby, open the web extension and click the Approvals icon. It supports revoke in batches, which helps if you've accumulated a long list.

These tools clear permissions you've already granted. Some of them even flag which approvals are actively risky versus simply old. But they can't protect you from what you sign going forward!

#FAQ

Simple BTC strategy: MA200 explained 🤓

Some BTC strategies look too simple to work – but that is exactly why traders keep watching them.

One of them is based on the 200-week moving average:

🟠buy when BTC trades below the weekly MA200
🟠hold after BTC breaks back above it
🟠start taking profit around ~1000 days after the breakout

What is MA200?
MA200 is the 200-period moving average. On the weekly chart, it shows the average BTC price over the last 200 weeks.

Why do traders care?
Historically, BTC trading near or below the weekly MA200 often marked long-term accumulation zones. Not always the exact bottom, but usually the area where patient buyers started building positions.

What is the catch?
The hard part is not the strategy itself. The hard part is sitting through years of volatility without panic selling the first bounce or chasing every short-term move.

🔠Current update:
BTC has not touched the weekly MA200 during the current drop yet. So according to this framework, the accumulation signal has not appeared.

Not financial advice – just a simple cycle-based framework many long-term traders keep on their radar 👁

#FAQ

Free Claude Courses by Anthropic 🤖

Got questions about how to use Claude effectively?

Anthropic has a completely free learning hub with high-quality materials:
🔗 Anthropic Learn Center

FAQ: What can I actually learn there?

🔵 How to write powerful prompts that get you the exact format, depth, and quality you want
🔵 Working with documents: uploading files, extracting insights, comparing data, and making conclusions
🔵 Using Claude for real work – research, content creation, analysis, planning, and automation
🔵 Claude Code: debugging, explaining logic, writing and improving code
🔵 API & Integrations: how to connect Claude to your products, tools, and internal workflows
🔵 AI Fluency: how to think about AI so you get real results instead of just "chatting"

Is there anything practical?
Yup, materials are very hands-on and focused on real-world application

Is there anything about prompting?
Check out this excellent Prompt Engineering Workshop for Claude → Watch here

Save it – this is one of those resources you’ll probably need later 👌

#FAQ

FAQ: How to protect your crypto wallet? 👛

In Web3, your security matters more than the size of your portfolio. One fake website, wrong signature, or malicious approve can wipe out years of work.

Here are 4 basic tools that can help protect your wallet:

▶️ What can show me what I’m actually signing?
▶️ Pocket Universe – shows what assets will leave your wallet before you sign a transaction and can block wallet drainers

▶️ How do I remove old token approvals?
▶️ Revoke.cash – lets you check and revoke old approve permissions that may still give contracts access to your tokens

▶️ What helps detect phishing links?
▶️ Scam Sniffer – scans Web3 sites and warns you in real time if you open a phishing page or try to sign something dangerous

▶️ How can I block scam websites before load?
▶️ Kerberus – checks domains against scam databases and can stop you from entering suspicious Web3 websites

Save this before you need it – wallet security is much easier before something goes wrong

30 🔥 and I’ll drop part two with more tools

@Coin_Post

#FAQ

Is the AI Rally a Bubble or a Boom 🤔

The chart captures the core distinction between what ends badly and what usually does not. In a bubble, price runs far ahead of earnings until the gap closes. In a boom, earnings grow fast enough to carry the price.

Lately, there has been growing talk that the stock market is overheated, that the growth driven by AI has run its course, and that tech companies are significantly overvalued. Let’s take a critical look at the situation.

🔽 Back in 2000 Cisco peaked near 200x earnings, and Pets. com went public with none at all. The entire case for internet stocks rested on revenue from a technology that was years from generating the cash flows the market had already priced in. When that gap closed, the Nasdaq fell 78% and took 15 years to recover.

🔍 Today's core companies look different. Nvidia's revenue went from $27B in fiscal 2023 to $130.5B in fiscal 2025, up 114% in a single year, with net income reaching $74B. The stock has run roughly 2,000% since its 2022 lows, but earnings grew fast enough to keep the forward P/E near 30x. The Nasdaq-100 forward P/E sits near 26x today versus roughly 50-60x at the 2000 peak.

Companies are spending hundreds of billions on GPU and data center capacity before enterprise use cases have proven their economics at scale. The earnings are real, but they depend on that spending continuing, and that spending needs to be justified by what the AI actually produces for businesses paying for it.

👁️ Nvidia's earnings track directly with infrastructure spending. If enterprise buyers start questioning the ROI on their GPU deployments, the spending slows and the earnings story changes with it.

But so far, every quarter that was supposed to show the slowdown has shown the opposite. Until the earnings stop growing, this looks more like the right side of the boom chart than the left side of the bubble one. Just my opinion...

#FAQ

What Is a Normal P/E Ratio 📊

P/E ratios vary by sector because growth profiles and margin structures differ. Banks and utilities typically trade at 10-12x. Consumer staples run 18-22x, tech companies with recurring revenue sit at 25-35x, and pure growth names go well above that when investors are buying future earnings rather than current ones.

❗️ Above 40-50x, a stock is either expensive or the market expects the business to look very different in a few years.

The chart shows six Magnificent Seven stocks names clustered between 23x and 38x with a an obvious 'imposter' next to them: Tesla is at 398.7x ➕

A P/E that high means current earnings are nearly irrelevant to how the stock is priced. Investors are not paying for what Tesla earns today as a car company. They are paying for a future version of the business: autonomous vehicles, robotaxis, humanoid robots...

🐂 Bulls argue those businesses will eventually generate earnings that make today's price look reasonable.

🐻 Bears argue the market has been pricing that in for years without it arriving. Both have been saying the same thing since 2021.

Above 50x, earnings stop being the right valuation tool and analysts switch to price-to-sales or free cash flow instead.

#FAQ

Google Gemini + NotebookLM: how to build your own AI tutor 🧑‍🏫

Feed AI any study material, and it can turn it into a personal tutor that explains, tests you, finds weak spots, and helps you actually remember things.

1️⃣ Upload your materials to NotebookLM

▶️ It can be:
PDFs, YouTube videos, lecture notes, slide decks, articles, book chapters, research papers

2️⃣ Build a learning roadmap

▶️ Prompt:
Act as a world-class tutor. Turn these sources into a learning roadmap, not a summary.
Break it down into:
Big Picture: what this topic is about, why it matters, where beginners get confused.
Core Concepts: 5–10 key ideas, simple explanation, why each matters.
Learning Order: what to learn first, what comes next, what depends on what, what to ignore for now.
Difficulty Map: easy, medium, hard parts and what requires repetition.
Final Roadmap: clear step-by-step path with no fluff.
Goal: Make the topic organized and easy to study

3️⃣ Turn the material into a personal tutor

▶️ Prompt:
Act as my private tutor. Teach this material clearly.
For every major concept, explain:
Meaning in simple words.
Why it matters.
Real-life example.
Beginner-friendly analogy.
Common mistake.
Quick check question.
After each section ask: “Do you want a simpler explanation or should we continue?”
Tone: simple, patient, practical.
Goal: Help me understand, not just read

4️⃣ Create active recall questions

▶️ Prompt:
Create an active recall system from these sources.
Generate:
20 basic questions.
15 medium questions.
10 advanced questions.
5 trick questions.
5 explain-in-your-own-words questions.
5 real-world application questions.
For each question include:
• correct answer
• source concept
• what to review if I’m wrong
Important:
• do not show answers first
• ask in rounds
• wait for my reply
• grade strictly
Goal: Train memory through retrieval, not passive rereading

5️⃣ Find your weak points

▶️Prompt:
Here are my answers:
[paste your answers here]
Now grade me like a strict but helpful tutor.
Do NOT just give me the correct answers.
Instead, analyze my learning gaps deeply.
For every wrong or weak answer, explain:
1. What I got wrong
2. Why my answer is incorrect
3. What concept I misunderstood
4. The simplest correct explanation
5. The exact part I should review again
6. One new question that tests the same weakness
Then: Create a ‘Weak Points List’ ranked from most important to least important.
Goal: Show me exactly what I still don’t understand, and why, so I can fix it properly

6️⃣ Use Gemini to simplify the hard parts

▶️ Prompt:
Act as my learning coach.
These are the concepts I still don’t understand: [paste weak points]
Explain each concept in 4 levels:
Like I’m 10.
For a beginner.
For exam prep.
For real-life use.
For each concept include:
• analogy
• simple example
• common mistake
• mini exercise
• test question
Goal: Make hard concepts finally click

7️⃣ Build a 7-day study plan

▶️ Prompt:
I want to learn [topic] in 7 days.
My current level is: [beginner / intermediate / advanced]
My materials are: [paste what you uploaded to NotebookLM]
My goal is: [exam / work / project / general understanding]
Now build me a structured 7-day study plan using:
1. Active recall
2. Spaced repetition
3. Quizzes
4. Review blocks
5. Practical exercises
6. Final testing
For each day, include:
• What I should study
• What I should review
• What I should practice
• Questions I should answer
• Time needed for each section
• How I can check if I truly understood it
Rules:
• Keep it realistic and not overwhelming
• Focus on memory and understanding, not passive reading
• Include regular review of weak points
• Make it practical and easy to follow
Goal: Give me a clear, actionable study plan that I can actually stick to and complete successfully

Save this 📌

#FAQ

FAQ: How to protect your crypto wallet? Part 2 👛

Here are 4 more tools that can help you check risks before you connect, sign, or buy:

▶️ How do I check a token or smart contract before interacting?
▶️ Web3 Antivirus – analyzes tokens and smart contracts, showing hidden risks directly in your browser before you hit "Connect Wallet"

▶️ How do I know if I’ll be able to sell a token later?
▶️ Honeypot.is – simulates buy/sell transactions on DEX tokens and helps detect honeypots before you ape in

▶️ What helps spot scam tokens and phishing sites?
▶️ AegisWeb3 – monitors wallet activity, flags suspicious tokens, transactions, and risky websites in real time

▶️ How can I check if a wallet or counterparty looks risky?
▶️ Ethos Network – helps check wallet/user reputation, past activity, and trust signals before interacting

Read Part 1 👉 here

But the best security tool is still free:
don’t sign what you don’t understand 😏

@Coin_Post

#FAQ

Tokenomics FAQ: why your "good" altcoin keeps dumping ❓

Ever seen a project with great tech, strong backers and big partnerships… but the chart still only goes down? While you are holding the line, early venture capital (VC) funds and insiders are treating your bags like a personal ATM

A few things to check before buying:

▶️ Market Cap vs FDV
▶️ Market cap shows the value of tokens already circulating. FDV shows what the project would be worth if all tokens were unlocked today. If market cap is $100M and FDV is $1B, most of the supply is still waiting to enter the market

▶️ VC unlocks
▶️ Early funds often bought their tokens 10-100x cheaper than retail. So when their lock-up ends, they can sell even after a big price drop and still walk away in profit. Retail calls it "capitulation." VCs call it liquidity

▶️ Linear vs cliff unlocks
▶️ Linear unlocks release tokens gradually, creating constant sell pressure in the background. Cliff unlocks are worse: a large chunk unlocks at once, and the market often dumps before the actual date because everyone sees it coming

▶️ High APY illusion
▶️ Staking rewards can look nice on paper. But if everyone is earning the same huge APY, the token supply is inflating fast. Your balance grows, but the price can fall faster

Before buying, check Tokenomist or DefiLlama – because sometimes the dip is just someone else’s exit liquidity 👁

❓ #FAQ

FAQ: How to trade Polymarket with less risk 💡

The prediction markets topic got enough reactions from you guys, so here’s the promised breakdown.

On Polymarket, you can make money not only by picking the right outcome, but also by trading price gaps, spreads and liquidity. These approaches are often called delta-neutral: the trader tries to build a position where profits on one side offset losses on the other. Still, none of this is completely risk-free.

1️⃣ Buying YES + NO for less than $1

Every binary market has two opposite contracts: YES and NO. Example: "Will Argentina win the World Cup?"

Once the event settles, the winning contract pays $1, while the losing one pays $0. So 100 winning shares return $100. But YES and NO prices don’t always add up to exactly $1. This can happen because of bid-ask spreads, low liquidity and uneven order-book depth. That temporary mispricing is what traders try to catch.

Example:
📈 YES costs $0.40
📉 NO costs $0.55

You can buy both sides for $0.95. No matter what happens, one side will settle at $1, leaving a gross profit of $0.05 per pair. You’re not betting on the correct outcome – you’re trading a temporary pricing error.

Risk: the setup only becomes neutral after both orders fill. If your YES order fills but NO moves higher before you buy it, you’re left holding a regular directional position. Fees and slippage can also wipe out the spread.

2️⃣ Hedging through a crypto exchange

Suppose there’s a live market with the question, "Will BTC hit $100k before the end of the year?" and traders are already pricing both the YES and NO outcomes.

The NO token trades at $0.35, meaning the market currently prices the probability of "no" at roughly 35%. A trader compares that price with their own estimate: how far BTC still needs to move, how much time remains, and how volatile it usually is.

If the trader believes the real probability of NO is closer to 45%, the token looks undervalued at $0.35. They buy it expecting the market to reprice NO higher – for example, to $0.45. That would produce a potential profit of $0.10 per token, before expenses.

But if BTC suddenly pumps, the probability of reaching $100k rises and the NO token loses value. To partially protect against that move, the trader simultaneously opens a BTC long on a futures exchange.

The setup looks like this:
▶️ BTC rises – NO loses value, but the long offsets part of the loss
▶️ BTC falls – NO gains value, while the long moves into the red
▶️ If the trader correctly spotted an undervalued NO token, its repricing becomes the source of profit

So the profit doesn’t come simply from holding two opposite positions. It comes from estimating the probability more accurately than the market, while the futures hedge reduces the impact of BTC price moves on the trade.

Risk: this isn’t a perfectly neutral setup – it’s only a partial hedge. Funding costs and price differences between platforms can also eat into the profit.

3️⃣ Market making

Market maker doesn’t need to decide which outcome is correct. They place limit orders around the current price and try to earn the spread between buying and selling.

Example:
📈 Buy YES at $0.50
📈 Sell YES at $0.52

If both orders fill for the same size, the trader earns $0.02 per token. The more times this cycle repeats, the more spread revenue they collect. Some markets may also offer liquidity rewards.

Risk: the buy order may fill while the sell order doesn’t. Then the trader is left holding YES, and the result once again depends on the event.
That’s why market makers constantly monitor inventory, adjust quotes and limit position sizes.

Crypto degens have turned Polymarket from a betting platform into yet another trading venue. No altseason yet, so we trade whatever moves 😁

#FAQ

Altcoin research FAQ: How to tell if a token is actually cheap ❓

When the market is bleeding, I start looking for alts that could make sense for a long-term portfolio. But "down 80%" is not enough. Before buying, I want to know one thing: is this token actually cheap, or does it just look cheap? Here’s the checklist I use:

1️⃣ Is the protocol actually growing?

Don’t start with vibes. Check the basics: revenue, fees, users, volume, TVL, active addresses.

If the chart looks bullish but the protocol is losing users and volume, that’s not a hidden gem. That’s probably exit liquidity

2️⃣ Does the token capture value?

This is the part most people miss. A project can be great, but the token can still be useless. Ask:

➖ Does the token get revenue share?
➖ Are there buybacks or burns?
➖ Is staking actually meaningful?
➖ Does governance control real fees or emissions?
➖ Does demand for the product create demand for the token?

If the answer is "no," the business can grow while the token goes nowhere

3️⃣ Is the valuation reasonable?

Look beyond market cap. FDV matters because future unlocks can dilute you hard. Then compare the token with similar projects:

🟠 FDV / revenue
🟠 FDV / fees
🟠 FDV / TVL

A 10x multiple can be cheap in one sector and expensive in another. Context matters

4️⃣ What can go wrong?

Check unlocks, emissions, competition, weak tokenomics, smart contract risks and regulation. If supply is about to hit the market, "cheap" can get cheaper

5️⃣ What’s the actual setup?

You don’t need one perfect target price. Build 3 scenarios:
📈 Bull case
➖ Base case
📉 Bear case
Then ask: is the current price attractive compared to the realistic upside and downside?

🔧 Useful tools: DefiLlama, Token Terminal, Dune, Artemis, TokenUnlocks

Don’t buy an alt just because the narrative sounds hot. Personally, I only care when the numbers, value capture and valuation actually make sense.

Down bad ≠ undervalued

#FAQ

AI agent security FAQ: how to test agents without getting drained? 😵

AI agents are useful. But the dangerous part is the access you give them. If your agent can read files, open links, use API keys and sign transactions, then one hidden prompt inside a PDF, email or website can become a real security problem. So before testing trading agents, I’d use a setup like this:

1️⃣ Start with read-only access

If the agent is only doing research, it does not need trading access. For market analysis, portfolio tracking or alerts, use:
🔺 read-only exchange API keys
🔺 no withdrawal permissions
🔺 no wallet signing
🔺 no access to your main email or cloud drive.
If the agent can’t move funds, it can’t drain funds

2️⃣ Separate your agent wallet

Never connect an AI agent to your main wallet. Create a separate hot wallet only for testing. Keep the main funds on a hardware wallet or a wallet that the agent never touches.
A simple rule:
Main wallet = storage
Agent wallet = sandbox
If you want to test real transactions, fund it with a small fixed amount you are ready to lose

3️⃣ Use limits everywhere

If you give the agent trading access, limit the damage in advance. Set:
🔺 max position size
🔺 daily loss limit
🔺 max order size
🔺 no withdrawals
🔺 IP whitelist if the exchange supports it
🔺 manual approval for large trades.
The agent should never be able to YOLO your full balance because one website told it to

4️⃣ Keep human approval for signatures

A safer setup is:
🔺 AI agent prepares the action
🔺 You review it
🔺 You sign manually
Before signing, use transaction simulation tools like Rabby, Pocket Universe or similar wallet security extensions. If the transaction looks confusing, don’t sign

5️⃣ Clean permissions after tests

After testing any agent, revoke old approvals. Useful tools:
🔺 Revoke.cash – check and revoke token approvals
🔺 Etherscan / chain explorers – review wallet activity
🔺 Scam Sniffer / Pocket Universe / Rabby – catch suspicious transactions before signing.
Most wallet drains happen because users forget what they approved weeks ago

6️⃣ Log everything

If an agent trades or interacts with wallets, you should be able to see:
🔺 what it read
🔺 what it decided
🔺 what command it executed
🔺 which API key it used
🔺 which wallet it touched
No logs = no control

AI agents should be treated like junior traders with internet access. Useful, fast, sometimes impressive – but absolutely not someone you give the master key to your portfolio.

📌 Bookmark this guide and forward it to all your vibecoder friends

#FAQ

FAQ Note: cross margin vs isolated margin ❓

🟦 Isolated margin means only the money assigned to one position is at risk. Example: You have $1,000 on the exchange and open a trade with $100 of isolated margin. If it gets liquidated, you lose that $100 – not your entire futures balance

🟦 Cross margin works differently: The exchange can use your available balance to keep the position open. This moves liquidation further away and may help you survive a wick, but if price keeps moving against you, the trade can eat into the rest of your account

So cross margin isn’t automatically safer. It simply gives the position access to more of your funds. For beginners, isolated is usually easier to control because the maximum risk is clearer

✅ Before opening a perp trade, check:
🔺 Isolated or cross
🔺 Liquidation price
🔺 Stop-loss placement
🔺 Total account balance at risk

My rule is simple: I use isolated margin when testing a trade idea. If I use cross margin, I treat my entire futures balance as being at risk 🧠

#FAQ

One wallet habit I strongly recommend: clean up your old permissions at least once a month 🧹

Every time you use a DEX, bridge or mint, you may give a smart contract permission to move tokens from your wallet. Some of those approvals are unlimited and can stay active for years. And disconnecting the wallet from the site doesn’t remove them.

If that contract gets hacked – or the approval was malicious from the start – your tokens may still be exposed. In January 2026 alone, signature-phishing attacks drained $6.27M from 4,741 users, up 207% from December

My cleanup is simple:
✅ remove contracts I no longer use
✅ revoke unknown and unlimited token approvals
✅ clear old bridge, DEX and NFT permissions
✅ check again after testing a new dApp

🔧 Tools that can help:
✅ Revoke.cash
✅ Etherscan Token Approval Checker
✅ DeBank – check the Approvals section

Revoking usually costs a small gas fee, but it doesn’t sell or move your tokens

If this was useful, drop a 🐳 reaction

#FAQ

Perp trading FAQ: why 10x leverage is not "10x more profit" ❓

James Wynn has been liquidated five more times in the past 24 hours – а perfect example of why perps can look simple… until the chart starts moving against you. A 10x position means you control $10,000 with only $1,000 of margin. Sounds great, but there’s a catch:

A 1% move against you is roughly a 10% hit to your margin 😵

Before opening any leveraged trade, check these five things:

1️⃣ Liquidation distance

Look at liquidation before entry and target. If liquidation is only 3-5% away, one wick or news candle may close the position before your setup has time to play out

2️⃣ Stop-loss before liquidation

Your stop should sit where the trade idea becomes invalid – not at the liquidation price. Liquidation is not risk management. It’s the exchange closing the trade for you

3️⃣ Cross margin vs isolated margin

🔺 With isolated margin, only the money assigned to that position is at risk.
🔺 With cross margin, the exchange can use more of your available balance to keep the trade open.
That may save you from a wick, but it can also turn one bad position into a much larger loss

4️⃣ Funding, open interest and liquidity

Check whether traders are overcrowded on one side, how expensive funding is, and whether the order book is deep enough. High leverage, rising open interest and thin liquidity are the perfect setup for violent squeezes and bad stop fills.
Useful tools:
🔺 Coinglass
🔺 Coinalyze
🔺 the exchange itself
🔺 Hyperliquid stats for on-chain perps

5️⃣ Size the trade from your maximum loss

Don’t start with: "I want a $10,000 position."
Start with: "How much am I willing to lose?"
Example:
Max loss: $100
Stop distance: 5%
Position size: around $2,000
Then use the exchange calculator to check liquidation, margin, fees, funding and estimated PnL before entering

📌 Save this and send it to beginner traders – and to anyone who keeps blowing their futures account

#FAQ

You often ask me where I track the metrics I mention in the channel. So here’s a cheat sheet with the ones I use most:

📊 Market structure
🔺 BTC Dominance: BTC’s share of the total crypto market. Rising BTC.D usually means capital is favoring Bitcoin over alts
🔺 TOTAL3: the total crypto market cap excluding BTC and ETH. One of the cleanest ways to track the broader altcoin market
🔺 Altcoin Season Index: checks how many top alts have outperformed BTC over the past 90 days. It signals altseason when 75% of the top 50 beat Bitcoin

📈 Leverage and positioning
🔺 Open Interest: the total value of open futures positions. Fast OI growth usually means more leverage and a higher risk of liquidations
🔺 Funding Rate: shows which side of the market is crowded. Positive funding means longs pay shorts; negative funding means shorts pay longs
🔺 Liquidation Heatmap: estimates the price zones where leveraged positions may get wiped out. Useful for spotting potential liquidity magnets

📈 Sentiment and macro
🔺 Fear & Greed Index: a quick 0-100 market sentiment gauge, from extreme fear to extreme greed
🔺 Global Liquidity / M2: tracks money supply across major economies. Expanding liquidity is usually good for risk assets, although the effect can come with a lag
🔺 Fed Rate Expectations: shows the market-implied odds of future Fed rate moves. Easier policy expectations usually support risk appetite; tighter policy does the opposite

📌 Save this list and use it whenever you need a quick market check. Drop a 🐳 if it was useful

#FAQ

💾 On Polymarket, markets priced at 90%+ often look like easy money. The outcome feels obvious, the probability looks almost guaranteed, and the trade seems low-risk. But this is exactly where beginners get trapped.

A market priced at 90¢ simply means traders are pricing in roughly a 90% chance of it happening. Here’s what people often miss 👇

✅ 90% is not a guarantee
Each winning share settles at $1. Buying YES at $0.90 gives you $0.10 profit if you’re right, but you lose the full $0.90 if you’re wrong. One bad trade can wipe out the gains from nine winners

✅ Check the spread
The spread is the gap between the best buy and sell prices. A market may show 90%, but you could be buying at 92¢ and selling at 87¢. In low-liquidity markets, spread and slippage can eat most of your edge

✅ Read the exact wording
"Announced," "approved," "signed" and "takes effect" are different outcomes. Dates, time zones, and words like "before" or "by" can completely change the bet

✅ Check the resolution rules
Know which source decides the result and what happens if the event is delayed or disputed. You are trading the written rules, not the headline

✅ Liquidity matters
A position may look profitable, but you might not be able to exit without moving the price

Before buying, ask yourself:
🔠 What exactly must happen?
🔠 By what deadline?
🔠 Who confirms it?
🔠 Can I exit easily?
🔠 Is the reward worth the risk?

📌 Save this before your next "guaranteed" bet

#FAQ

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Metrics are updated once a day, so the service is best suited for medium-term and fundamental analysis

Save, share, and use them in your analysis 🆗

#FAQ