The Hindenburg Omen Just Flashed Again. What is this indicator? 🚨

Last Wednesday, for the first time since November 2021, a Hindenburg Omen appeared. It’s named after the Hindenburg disaster because it tends to show up when markets look fine on the surface but are structurally breaking underneath.

📊 The signal triggers when an index is rising while an unusual number of stocks hit both new highs and new lows. It means the rally is losing depth, only a few names are driving it while the rest quietly weaken.

For a full Hindenburg Omen to trigger, five things must align:

🟢The market is in an uptrend.

🟢At least 2.2% of NYSE stocks hit new highs.

🟢At least 2.2% of NYSE stocks hit new lows.

🟢The smaller of those two groups exceeds 2.8% of total issues.

🟢The McClellan Oscillator, a breadth momentum tool, turns negative.

If all five conditions listed below are met, the indicator gives a yellow dot signal. When all that happens twice within 36 days, the indicator confirms — flashing red dot on the chart.

Not every Omen leads to a crash, but it’s often seen before major drawdowns — including the 2020 pandemic selloff and the 2008 crisis. What matters now is that market breadth is again falling apart. A handful of mega-caps are carrying the market while most stocks lag behind.

Even if no crash follows, history suggests it’s a time to rotate out of overcrowded trades and focus on assets with real strength instead of momentum built on hope & cope 📉

#FAQ

Who Is Selling? Understanding CVD indicator 🕯

CVD means Cumulative Volume Delta. It tracks the difference between market buys and sells over time, showing which side is more aggressive. When CVD rises, it means there are more buyers than sellers and vice versa.

🔍 In the chart above, each colored line shows CVD from a different exchange, while the gray line is Bitcoin’s price. Notice how Binance’s CVD (green) is collapsing while Coinbase, Bybit and Kraken remain positive.

🔸 This means most of the selling volume is coming from Binance. A large player or group is offloading spot BTC there, while other exchanges show neutral activity. When selling is concentrated like this, it often signals one entity managing exposure or rotating out, not a broad market capitulation.

CVD helps you see who’s actually moving the market. Right now, Binance spot is the main source of sell pressure driving Bitcoin lower

👀 There are rumors that after the market crash on October 10, some large institutional entity lost a lot on Binance, and perhaps the current price action is related to this.

#FAQ

@CoinPost

How to Use Zcash Privately 🟠

Zcash has two address types. Transparent (T) addresses work like Bitcoin and show all details onchain. Shielded (Z) addresses hide the sender, receiver, and amount while keeping the transaction valid.

💻 The blockchain still verifies every shielded transaction through zk-SNARKs, a cryptographic system that proves coins are valid and not double spent without exposing any information.

Modern upgrades such as Sapling and Orchard made shielded payments faster and removed the need for trusted setups. Zcash also supports view keys that let someone verify payments without giving them spending access.

💸 How to make a private payment using $ZEC:

1️⃣Use a wallet that supports shielded addresses (Sapling or Orchard). Try "Zashi", "YWallet" or "ZecWallet".

2️⃣Get a shielded or unified address from the recipient.

3️⃣If your ZEC is from an exchange, move it to your shielded address first.

4️⃣Send from Z to Z for full privacy.

5️⃣Avoid sending to T-addresses if you want to stay anonymous (T stands for 'transparent').

6️⃣Share a view key only when you must prove a payment.

#FAQ

What is a Crypto P2P Triangle Scam? 💻

A P2P triangle scam is a fraud where a scammer uses you as a payment middleman. You think you are doing a normal P2P trade. The victim thinks they are buying a product. In reality, you are receiving money from the victim and sending crypto to the scammer.

How the scam works step by step 👇

1️⃣The scammer posts a fake product ad, for example an iPhone at a very low price.

2️⃣The victim agrees to buy and asks for payment details.

3️⃣The scammer goes to a P2P exchange and opens a buy order with you. Instead of paying you, the scammer gives the victim your bank details.

4️⃣The victim sends money to your bank account, believing it is payment for the product.

5️⃣You see the money, think it is from your P2P counterparty, and release crypto to the scammer.

6️⃣The scammer disappears. The victim gets no product. You are the one the bank or police calls, because your account received the money.

👉 How to avoid it: Only accept payments from accounts under the buyer’s verified name. If funds come from an unknown sender, don’t release crypto and contact support. Trade only with verified users who have long histories of trades and many completed orders ❗️

#FAQ

@CoinPost

Why You Should NEVER Trade When You’re Bored 🤨

Boredom trades are some of the most expensive trades you will ever make. When you are bored, you are not looking for good setups. You are looking for stimulation. That mindset pushes you into random positions, forcing trades, chasing noise, and convincing yourself that “something is better than nothing.” It never is.

🧠 Many traders lose money because they can’t sit still. When there is no clear direction, yet the urge to “do something” takes over. You open a position with no edge, no plan, and no real reason. Later you ask yourself why you even entered and start begging to break even.

🎮 This is also why videogames are pretty popular among many successful crypto traders I know. Games give their brain the stimulation it is looking for without putting money at risk.

They keep your hands off the exchange during hours when you feel restless and tempted to click buttons. Many traders would save a lot of money by simply distracting themselves instead of forcing a trade.

If you’re bored, step away, go outside, literally do anything that keeps you from opening positions you don’t actually believe in. Trust me, this will save you money ‼️

#FAQ

@CoinPost

What is a Death Cross? ☠️

📉 A death cross happens when a short term moving average falls below a long term moving average. Traders usually watch the 50 day MA crossing under the 200 day MA. When that happens, it signals that momentum has shifted down and that sellers have control.

It does not guarantee a crash, but people believe it shows that the trend has weakened and that the market is no longer in an uptrend. Many big drawdowns in stocks and crypto started after a death cross appeared, which is why traders pay attention to it.

📆 Since 2023 we were in a bull market and death crosses have consistently signaled the market bottom after a correction.

However, it is impossible to say with certainty whether the same thing will happen this time. The death cross that appeared on the chart yesterday, may be similar to the one in January 2022, after which Bitcoin dropped by 68%.

Nobody knows what will happen and you should be read for anything 😨

#FAQ

@CoinPost

Inverted Charts and Why You Should Use Them 🙃

Does this chart look bullish to you? We closed above the weekly MA50, printed what looks like a strong reversal, and the trend structure screams continuation. So yeah, bullish!

But this is the Bitcoin weekly chart flipped upside down

🤔 If this looks bullish to your eyes, then on the real chart your brain is reading it as bearish. That’s why flipping charts is such a powerful trick. Bias blinds you. When you flip a chart, you see the structure for what it is instead of what you want it to be.

📈 It helps you judge trend strength and avoid forcing a narrative. If the upside-down version looks cleaner than the real chart, you might be leaning too hard one way.

📈 To try it yourself on TradingView, press Ctrl + I to flip the upside down.

#FAQ

Does “buy fear, sell greed” actually work when trading Bitcoin? 🔍

People repeat this line like it’s a cheat code, but the data and real market behavior say something very different.

🕯 The Fear & Greed Index tells you how the crowd feels, not where the market is going next. Extreme fear can stay extreme for a long time. We’ve had multiple cycles where the index sat around 15 while BTC kept dumping another 30–50%. Same on the other side: greed can sit at 80–90 for weeks while BTC continues to melt upward.

That’s the danger. Imagine F&G hits 80 and you think, “easy short.” The trend is strong, momentum is up, whales are buying, but you’re fading it because a dial says “greed.” BTC pumps another 40–50%. Now you’re stuck, adding to a losing trade or cutting a painful loss.

Then fear hits 10 and you say, “time to long,” but the market keeps sliding. You add again, it drops more. This is exactly how people blow up trying to countertrade sentiment.

📊 The data backs this up. Look at the attached chart. It shows BTC’s median 30-day performance after the Fear & Greed Index hits extreme fear (<10). Out of 27 historical signals, the median return after 30 days is about 2%. That’s nothing for an asset that regularly moves 2% in an hour. It means that buying extreme fear and selling 30 days later gives you close to zero edge.

And that’s the point. The index shows emotion, not trend strength. Bitcoin can stay euphoric far longer than shorts can remain solvent, and it can stay fearful long enough to drag all the dip buyers underwater. Using this indicator alone to fade the market is one of the most common retail mistakes 🤦

#FAQ

@CoinPost

What Do Market Makers Actually Do? 💸

When you buy or sell a token on an exchange, who is filling your order?

It’s not thousands of retail traders sitting in the book 24 hours a day. Most of the liquidity you see comes from market makers. They place continuous buy and sell quotes so spreads stay tight and execution stays stable.

🕯 Market makers run automated systems that constantly update orders as price moves. When one side of their quote gets filled, they hedge the exposure on futures or other venues.

Their goal is neutrality. They earn from spreads, rebates, and small arbitrage opportunities, not from guessing market direction.

They also manage inventory. If they accumulate too much of a token while making markets, they offset it elsewhere. If volatility rises, they pull back, widen spreads, or reduce size to control risk. Everything is systematic and tied to liquidity conditions.

🤔 So why do people dislike them so often? Because when volatility hits, price often rushes into areas packed with stops. Market makers step back to avoid getting high directional exposure, and the market slices through these levels quickly. Traders see this and assume market makers “hunted” their positions.

In reality, they placed their stops in predictable spots where the most liquidity sits. Blaming MMs is easier than admitting the market punished a crowded idea. People hate taking responsibility and love to blame everything on others 🤦

#FAQ

Why Trading on Weekends Is Riskier Than You Think 🗓

Unlike stocks crypto trades 24/7, but weekends behave like a different market. Liquidity dries up, spreads widen, and price moves without the usual institutional flow anchoring things. Even small orders can move charts, and stop losses trigger far more easily.

🐳 With fewer players active, volatility increases. A single whale can move price far beyond what you would expect during the week. Many weekend moves come from nothing but thin books and leveraged positions getting liquidated.

The Monday gap makes things worse. Remember that the crypto market follows the U.S. equities market, not the other way around. Crypto trades while the stock market is closed. A Sunday rally can be wiped out the moment the stock market opens, and a Sunday sell-off can reverse instantly. Weekend price action often has no connection to Monday's market sentiment 🕯

This doesn’t mean you shouldn't trade during weekends, but you need a different level of caution. The market is thinner, moves faster, and easier to get trapped in, and a normal setup can turn into unnecessary risk very quickly.

#FAQ

Why You Shouldn’t Pick Up Pennies in Front of a Steamroller 🪙

It describes a strategy that looks safe, wins very often, and gives tiny profits, but carries a hidden risk that can wipe you out completely. You collect small gains again and again until the one time the steamroller moves faster than you expect and flattens you. High win rate and low chances of losing, but terrible long-term risk profile 👎

You can see this when traders scalp futures with high leverage, no stop loss, and take a few dollars profit per trade. Ninety wins in a row feel amazing, but one sudden wick erases all of it and more.

🎰 Options traders do the same by selling deep out-of-the-money naked puts for tiny premiums. On prediction markets people often bet on events priced at 98% certainty, thinking they’re being smart and getting that 2% return RISK FREE. But in reality they risk a dollar to win two cents.

The problem here is that you have no edge. If the odds are priced fairly and you’re simply choosing the most likely outcome, you’re not taking advantage of mispricing; you’re gambling with better-looking odds.

Over time, every strategy built like this has the same ending: one bad outcome takes back more than hundreds of wins ever gave you. You wouldn't play Russian roulette to win $10 with a 1 in 1,000 chance of dying, would you? 🔫

#FAQ

@CoinPost

How to Survive Long Enough to Win in Crypto? 🏃‍♂️

Crypto rewards the people who stay solvent. A 50% drawdown needs a 100% recovery. An 80% drawdown needs 400%. Most traders never see those recoveries because they get wiped out long before the market turns bullish.

📈 Cycles eventually bail out the prepared. BTC makes new highs, narratives rotate, liquidity comes back. If you still have capital when the cycle flips, you benefit. If you’re blown up, the next leg happens without you.

Here are the habits that keep you solvent in crypto 👇

1️⃣Fall in love with selling. Sell airdrops, take profit on good trades, exit bad ones fast, and sell anything you wouldn’t confidently re-buy today.

2️⃣Always keep a chunk of your portfolio in stablecoins. Liquidity is your lifeline.

3️⃣Use a cold wallet if you hold real size. Hot wallets fail, people make mistakes, platforms disappear.

4️⃣Spread funds across multiple wallets. One point of failure is all it takes.

5️⃣Avoid shady platforms. No tier-3 exchanges, no low-TVL lending apps, no protocols run by ghosts.

6️⃣When there are rumors of insolvency or hacks, withdraw first and think later. Stay paranoid.

A few times a year, free money appears on the table. The people who stay liquid and cautious are the ones who catch it. I’ve seen multiple chances in recent years where you could make tens of thousands of $ for free or with almost no investment. The only requirement was being present 💸

#FAQ

Why Most On-Chain “Whale Alerts” Are Useless 🔕

Most large transfers on-chain aren’t whales trading. They’re routine movements by exchanges, custodians, OTC desks, or market makers. These groups hold assets across many wallets and shift funds for operations, security, or accounting.

🔍 Block explorers often list these wallets as “unknown,” so whale alert bots broadcast them as if someone important is about to act. In most cases, nothing market-related is happening.

🐳 Even when the transfer comes from a real whale, you still don’t know the reason. Moving coins to an exchange doesn’t guarantee selling. Withdrawing coins doesn’t guarantee buying. Transfers happen for settlement, hedging, internal restructuring, or simply reorganizing storage. Treating this stuff like a trading signal usually leads to wrong conclusions.

⛓️ The on-chain activity that actually matters looks different. It involves wallets with known identities and clear behavior. For example, a well-known trader opening or closing a position on a transparent DEX like Hyperliquid, or a smart-money wallet making a significant swap on Uniswap.

When you know who is acting and what they are doing, the data is useful. Random alert like “10,000 BTC moved from Coinbase to unknown wallet” doesn't mean "oh, this whale just market bough", it really tells you nothing at all 🙅‍♂️

#FAQ

Why Previous Highs and Lows Matter 🕯

Most price movement in liquid markets happens around a small number of reference levels. Previous highs and lows are among the most consistently respected because they are easy to identify and widely used.

📈 These levels mark prices where significant volume traded in the past. These areas often align with heavy participation, visible through volume clusters, multiple touches, or prolonged consolidation.

🔍 When price returns to these levels, there is often existing positioning tied to them. Traders who entered earlier may place exits near breakeven. Others place limit orders expecting a reaction. Stops tend to sit just beyond these levels. This changes order flow when price approaches.

Because of this, these zones often act as decision points. Price may slow down, reject, or move through quickly depending on whether resting liquidity is absorbed or defended ⚔️

The level itself is not a signal. What matters is how price trades around it. Acceptance is shown by sustained trading above or below the level with follow-through. Rejection is shown by fast moves back into the prior range, often with increased volume.

This is why simple horizontal levels derived from prior highs and lows (daily/weekly/montly) are useful. They align with positioning, liquidity placement, and repeatable behavior that can be observed directly on the chart 👀

#FAQ

What Are Psychological Price Levels? 🤔

Psychological price levels are prices where many traders focus their attention and place orders. They matter because enough participants treat them as reference points, not because of any inherent mathematical property 🤔

👌 This may sound insignificant, but it explains why Bitcoin reaching $100,000 was so heavily hyped, and why Bitcoin topped at exactly $69,000 back in 2021.

These levels usually fall into three categories 👇

1️⃣Round, meme, and numerological numbers

🟢Round numbers like $100k on BTC or $5,000 on ETH attract clustered orders because they are simple and obvious.

🟢Crypto also has meme levels like 69 or 420. These only matter when they are near price and widely noticed.

🟢Numerological numbers such as 888 or 88,888 can attract activity among Asian traders hours due to cultural preferences (very lucky number).

2️⃣Previous highs and lows: they act as reference points where traders previously entered or exited. When price returns, exits, re-entries, and stops tend to cluster, often causing a reaction. More on this in the previous post.

3️⃣Moving averages: Widely watched moving averages like the 50, 100, or 200 on higher timeframes become psychological levels not because of the formula itself, but because many traders and systems watch them at the same time.

#FAQ

Is It Safe to Connect Your Wallet to a Random Website? 🦊

Connecting a wallet by itself is safe. A basic connection lets a site see your public address, balances, and history. It doesn’t give control over your funds, but it does enable tracking and future signature prompts ❗️

The real risk begins when you sign or approve something. Token approvals are one of the most common ways people lose funds in crypto. An approval gives a contract permission to spend a specific token from your wallet. If that approval is unlimited and the contract is malicious or later compromised, that token can be drained without another prompt.

✍️ Signing transactions is more direct. You are explicitly authorizing an on-chain action, and fake or cloned websites often rely on users clicking through these prompts without checking details.

Message signing is also misunderstood. While it doesn’t move funds directly, a signed message can be used to log you into a service, create an active session, or approve actions that happen off-chain, such as initiating trades, listing NFTs, or issuing token permits later. Once signed, that permission can be reused without asking you again.

⏺To reduce risk, don’t discover apps through Google search results. Use X to find the project’s official profile and navigate to the website from its bio

⏺If you’ve already approved token spending on a site you don’t trust anymore, use revoke.cash to review and revoke active approvals

📌 Save for later and share with a friend

#FAQ

Maker vs Taker Fees and Why They Matter More Than You Think ❓

Fees are a bigger part of trading than most people realize. If you only trade spot and hold for months, losing 0.01% on entry and exit may not feel important. But if you trade futures, scale in and out, or open and close positions often, fees compound fast.

🕯 Take Bybit as a simple example. On perpetual futures, a typical account pays around 0.036% as a maker and 0.1% as a taker. That’s a 2.7x difference. Open and close a position as a taker and you already paid about 0.2% round trip. Do this frequently and fees can eat a large share profits.

The difference comes down to liquidity. A maker order adds liquidity to the order book. This happens when you place a limit order that does not fill immediately. Because this helps the exchange, maker fees are lower. A taker order removes liquidity. Market orders are always taker orders, and limit orders that fill instantly are also treated as taker orders.

😱 Many traders accidentally pay taker fees even when using limit orders. To avoid this, use post-only orders. A post-only order guarantees your limit order will only be placed if it adds liquidity. If it would execute immediately as a taker, the exchange cancels it automatically.

Where you trade matters too. Fee structures differ a lot between exchanges. Some perpetual DEXs offer 0% maker and taker fees, which changes the math completely. I personally saved around $20,000 in fees just this year by trading on Lighter compared to doing the same trades on Binance or Bybit 💸

#FAQ

What Is the S&P 500 vs GDP Ratio? 📊

The S&P 500 to GDP ratio compares the total value of U.S. stock market to the size of the U.S. economy. It answers a simple question: how much investors are paying for a dollar of economic output. When this ratio rises, stocks are becoming more expensive relative to what the economy produces.

🔍 Right now, this ratio is at a new all-time high. That matters because similar extremes were only seen near major cycle peaks like 1999 and 2007. This does not mean a crash is imminent. Markets can stay expensive for a long time, especially during strong earnings cycles and a bubble narrative (like AI boom).

What it does affect is future returns. Historically, buying equities when this ratio is elevated has led to lower average returns over the next 10–12 years. The market can keep going up, but the margin for error shrinks.

📈 There are reasons the ratio is higher today than decades ago. Large U.S. companies earn a big share of revenue overseas, profit margins are structurally higher, interest rates were low for years, and GDP does not fully capture modern, asset-light businesses. These factors explain part of the move, but they do not eliminate valuation risk.

The practical takeaway for today: at these levels, equities are strongly overvalued, and are priced for near-perfect conditions. Upside is still possible, but long-term returns are likely pretty low 👈

#FAQ

Why Metals Are in a Bull Run While Crypto Struggles 😣

Gold, silver, copper, platinum, all have been strong while crypto has lagged, and the reason is mostly about who is buying and what each market represents. Metals benefit from steady, price-insensitive demand. Central banks have been consistent buyers, using gold as a reserve asset and hedge. That creates a persistent bid that does not depend on sentiment.

😨 Metals also reflect caution. Gold in particular acts as an indicator of risk aversion. When investors worry about inflation, geopolitics, debt, or policy mistakes, capital moves into metals. This kind of demand tends to be slow, structural, and sticky.

🚀 Crypto is the opposite. It often acts as an indicator of risk appetite. When investors are confident, liquidity is abundant, and speculation is rewarded, crypto performs well. When risk appetite fades, leverage unwinds, flows dry up, and prices struggle even against equities.

🤔 The key difference is the marginal buyer. Metals are driven by central banks and long-term allocators hedging risk. Crypto is driven by retail traders and speculative capital expressing risk-on behavior.

#FAQ

What Is the Sharpe Ratio 🧮

The Sharpe ratio measures how much return you earn relative to the risk you take. It is not about how much money you made, but how efficiently you made it. In crypto this is critical, because high returns often come with extreme volatility that hides poor decision-making.

🤔 Two portfolios can both be up 50%, but if one had massive drawdowns and wild swings while the other moved smoothly, the second one is objectively better. The Sharpe ratio is designed to capture that difference.

The formula is: Sharpe Ratio = (Return − Risk-Free Rate) ÷ Volatility

💸 Return is your total performance over a chosen period. Volatility is the standard deviation of those returns. The risk-free rate represents what you could have earned without taking risk, usually short-term Treasuries, a conservative stable yield or zero for short-term trades.

If you want to calculate it using a Sharpe calculator, you only need three inputs 👇

🟢For portfolio return, use your actual % PnL over the period you’re measuring.

🟢For risk-free rate, use a simple benchmark that matches the same time frame, such as annualized T-bill yield or stablecoin lending yield.

🟢For standard deviation, use the volatility of your returns, which most portfolio trackers or trading dashboards already provide.

All three numbers must use the same time period. Mixing daily volatility with yearly returns will give you meaningless results ❗️

#FAQ