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AriaNaka

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Founder of BlockWeb3 | Elite KOL at CoinMarketCap and Binance | On-Chain Research and Market Insights
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Jesse Livermore’s 12 Trading Rules - Why 90% of Traders Still Ignore ThemThese are the rules that will help you survive the market, built on experience paid for in blood and bankruptcy. 1) Stop adding to losing trades. Throwing good money after bad is how you go broke. Period. 2) Always have an exit plan. Trading without a stop-loss is just gambling with your life savings. 3) Kill your losses fast. Don't overthink it. If it’s red, cut it and move on. 4) Let your winners ride. You don’t get rich on small wins; you get rich by staying in the big ones. 5) Wait for the market to prove you right. Your "gut feeling" doesn't matter until the price starts moving. 6) Hope is a death sentence. If you’re "hoping" a stock bounces back, you’ve already lost. 7) Don't bet the farm. You can't make a comeback if you don't have any chips left. 8) Don't fight the trend. Swimming against the current will only drown you. 9) Sit on your hands. Once you're in a winning trade, the hardest (and most profitable) thing to do is nothing. 10) When in doubt, stay out. If the chart looks like a mess, doing nothing is the smartest trade you can make. 11) Only go bigger when you're winning. Scale into strength, never into weakness. 12) Guard your cash like your life depends on it. Because in this game, it actually does. Every single one of these rules was paid for with a blown account and a lot of sleepless nights.

Jesse Livermore’s 12 Trading Rules - Why 90% of Traders Still Ignore Them

These are the rules that will help you survive the market, built on experience paid for in blood and bankruptcy.

1) Stop adding to losing trades.
Throwing good money after bad is how you go broke. Period.

2) Always have an exit plan.
Trading without a stop-loss is just gambling with your life savings.

3) Kill your losses fast.
Don't overthink it. If it’s red, cut it and move on.

4) Let your winners ride.
You don’t get rich on small wins; you get rich by staying in the big ones.

5) Wait for the market to prove you right.
Your "gut feeling" doesn't matter until the price starts moving.

6) Hope is a death sentence.
If you’re "hoping" a stock bounces back, you’ve already lost.

7) Don't bet the farm.
You can't make a comeback if you don't have any chips left.

8) Don't fight the trend.
Swimming against the current will only drown you.

9) Sit on your hands.
Once you're in a winning trade, the hardest (and most profitable) thing to do is nothing.

10) When in doubt, stay out.
If the chart looks like a mess, doing nothing is the smartest trade you can make.

11) Only go bigger when you're winning.
Scale into strength, never into weakness.

12) Guard your cash like your life depends on it.
Because in this game, it actually does.

Every single one of these rules was paid for with a blown account and a lot of sleepless nights.
🚨 THEY DON’T WANT THIS PUBLIC, SO I’M POSTING IT. What you’re looking at in this image is HOW THE GAME IS ACTUALLY PLAYED. Insiders don’t care about RSI, MACD, or whatever indicator is trending this week. They care about WHERE LIQUIDITY SITS, WHO’S TRAPPED, AND HOW TO FORCE REACTIONS. Retail looks at a chart and sees chaos. Institutions see the SAME STRUCTURES REPEATING OVER AND OVER. - QML setups - Fakeouts and liquidity grabs - Demand and supply flips - Compression into expansion - Stop hunts disguised as breakouts - Flag limits - Reversal structures that repeat cycle after cycle NONE OF THIS IS ACCIDENTAL. Every pattern on that chart exists for one reason: TO MOVE PRICE INTO AREAS WHERE ORDERS ARE STACKED. Once you understand that, a lot of things stop hurting you. You stop chasing green candles. You stop panic-selling red ones. You stop getting liquidated on moves that felt “random.” This is why MOST TRADERS LOSE. They react to price instead of understanding WHY PRICE IS MOVING. The people who survive this market spend years studying charts like this until it finally clicks. After that, the market feels SLOWER, CLEARER, AND FAR LESS EMOTIONAL. Save this image. Study it. If you can learn to read WHAT INSTITUTIONS ARE DOING instead of guessing what comes next, you’re already ahead of 99% OF PEOPLE HERE. I’ve been in this game for over 15 years and have called all the major market tops and bottoms publicly. If you want to see my next move, follow me and turn notifications on. Non-followers will regret it. As always.
🚨 THEY DON’T WANT THIS PUBLIC, SO I’M POSTING IT.

What you’re looking at in this image is HOW THE GAME IS ACTUALLY PLAYED.

Insiders don’t care about RSI, MACD, or whatever indicator is trending this week.

They care about WHERE LIQUIDITY SITS, WHO’S TRAPPED, AND HOW TO FORCE REACTIONS.

Retail looks at a chart and sees chaos.
Institutions see the SAME STRUCTURES REPEATING OVER AND OVER.
- QML setups
- Fakeouts and liquidity grabs
- Demand and supply flips
- Compression into expansion
- Stop hunts disguised as breakouts
- Flag limits
- Reversal structures that repeat cycle after cycle

NONE OF THIS IS ACCIDENTAL.

Every pattern on that chart exists for one reason:

TO MOVE PRICE INTO AREAS WHERE ORDERS ARE STACKED.

Once you understand that, a lot of things stop hurting you.

You stop chasing green candles. You stop panic-selling red ones. You stop getting liquidated on moves that felt “random.”

This is why MOST TRADERS LOSE.
They react to price instead of understanding WHY PRICE IS MOVING.

The people who survive this market spend years studying charts like this until it finally clicks.

After that, the market feels SLOWER, CLEARER, AND FAR LESS EMOTIONAL.

Save this image. Study it.

If you can learn to read WHAT INSTITUTIONS ARE DOING instead of guessing what comes next, you’re already ahead of 99% OF PEOPLE HERE.

I’ve been in this game for over 15 years and have called all the major market tops and bottoms publicly.

If you want to see my next move, follow me and turn notifications on.

Non-followers will regret it. As always.
This whale has deposited another $122,000,000 in $BTC to #Binance now.
This whale has deposited another $122,000,000 in $BTC to #Binance now.
AriaNaka
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A whale is trying to do max damage to $BTC price.

Just today, he has deposited $340,000,000 in $BTC on Binance in 2 transactions.

After each transaction, #Bitcoin has dropped $2,700-$3,000 in a few hours.
U.S. corporate failures and consumer stress just hit crisis levels, the worst since 2008.In just the last 3 weeks, 18 large companies each with $50M+ in liabilities have filed for bankruptcy. Last week alone, 9 large U.S. companies went bankrupt. That pushed the 3-week average to 6, the fastest pace of large bankruptcies since the 2020 pandemic. To put that in perspective, the worst stretch this century was during the 2009 financial crisis, when the 3 week average peaked at 9. So we’re at crisis peak levels. Now look at consumers: the stress is even clearer. Serious credit card delinquencies rose to 12.7% in Q4 2025, the highest since 2011, when the economy was still dealing with the aftermath of 2008. Since Q3 2022, serious delinquencies have jumped +5.1 percentage points, a bigger rise than what was seen during the 2008-2009 period. That means people falling behind on payments is accelerating, not stabilizing. Late stage stress is rising too. Credit card balances moving into 90+ days delinquent climbed to 7.1%, now the 3rd highest level since 2011. Younger consumers are under the most pressure: Ages 18-29 are seeing serious delinquency transitions around 9.5%, and ages 30–39 around 8.6%, both much higher than older groups. Younger households drive a big share of discretionary spending, so this is serious. U.S. household debt just hit a new record of $18.8 trillion, rising +$191 billion in Q4 2025 alone. Since January 2020, household debt has increased by $4.6 trillion. Every major category is now at record highs: Mortgage debt is at $13.2T, credit card debt at $1.3T, auto loans at $1.7T, and student loans also at $1.7T. So, Here's what happening all at same time: - Companies are going bankrupt faster. - Consumers are missing payments more. - Delinquencies are rising sharply. - Debt balances are already at records. This combination usually shows up late in the cycle, when growth is slowing but debt is still high. If bankruptcies keep rising and consumers keep falling behind, it puts pressure on jobs, spending, and credit markets next. That’s when policymakers typically step in. The Federal Reserve’s main tools are rate cuts, liquidity support, and eventually balance sheet expansion if stress spreads into the financial system. In simple terms: cheaper borrowing, easier credit, and more money flowing into the system to stabilize growth. But policy response usually comes after the damage starts showing clearly in the data. Right now, the signal from bankruptcies, delinquencies, and debt is pointing in one direction: Financial stress is rising fast and the window for policy support is getting closer.

U.S. corporate failures and consumer stress just hit crisis levels, the worst since 2008.

In just the last 3 weeks, 18 large companies each with $50M+ in liabilities have filed for bankruptcy. Last week alone, 9 large U.S. companies went bankrupt.
That pushed the 3-week average to 6, the fastest pace of large bankruptcies since the 2020 pandemic. To put that in perspective, the worst stretch this century was during the 2009 financial crisis, when the 3 week average peaked at 9.
So we’re at crisis peak levels.
Now look at consumers: the stress is even clearer.

Serious credit card delinquencies rose to 12.7% in Q4 2025, the highest since 2011, when the economy was still dealing with the aftermath of 2008.
Since Q3 2022, serious delinquencies have jumped +5.1 percentage points, a bigger rise than what was seen during the 2008-2009 period.
That means people falling behind on payments is accelerating, not stabilizing.
Late stage stress is rising too.
Credit card balances moving into 90+ days delinquent climbed to 7.1%, now the 3rd highest level since 2011.
Younger consumers are under the most pressure:
Ages 18-29 are seeing serious delinquency transitions around 9.5%, and ages 30–39 around 8.6%, both much higher than older groups.
Younger households drive a big share of discretionary spending, so this is serious.
U.S. household debt just hit a new record of $18.8 trillion, rising +$191 billion in Q4 2025 alone. Since January 2020, household debt has increased by $4.6 trillion.
Every major category is now at record highs:
Mortgage debt is at $13.2T, credit card debt at $1.3T, auto loans at $1.7T, and student loans also at $1.7T.
So, Here's what happening all at same time:
- Companies are going bankrupt faster.
- Consumers are missing payments more.
- Delinquencies are rising sharply.
- Debt balances are already at records.
This combination usually shows up late in the cycle, when growth is slowing but debt is still high.
If bankruptcies keep rising and consumers keep falling behind, it puts pressure on jobs, spending, and credit markets next.
That’s when policymakers typically step in.
The Federal Reserve’s main tools are rate cuts, liquidity support, and eventually balance sheet expansion if stress spreads into the financial system.
In simple terms: cheaper borrowing, easier credit, and more money flowing into the system to stabilize growth.
But policy response usually comes after the damage starts showing clearly in the data.
Right now, the signal from bankruptcies, delinquencies, and debt is pointing in one direction:
Financial stress is rising fast and the window for policy support is getting closer.
🔥 Whale Inflows Just Flashed a High Conviction Signal #Binance whale wallets holding over 100 $BTC are accelerating accumulation, with inflows surging back toward the 2900 BTC zone while price stabilizes above 70K. This divergence between rising whale demand and compressed price action often precedes expansion phases. The 30 day whale inflow average is curling upward, historically a precursor to liquidity absorption and reduced sell side pressure. Each past spike aligned with strong upside continuation or local bottoms. Smart money appears to be positioning early, not chasing breakouts. Supply tightens while retail sentiment stays neutral, creating a classic imbalance setup ⚡ If inflows sustain above the 1000 BTC baseline, momentum could quickly flip into a volatility expansion and push BTC into the next leg higher. Watch the whales, they usually move first. #AriaNaka #CZAMAonBinanceSquare
🔥 Whale Inflows Just Flashed a High Conviction Signal

#Binance whale wallets holding over 100 $BTC are accelerating accumulation, with inflows surging back toward the 2900 BTC zone while price stabilizes above 70K. This divergence between rising whale demand and compressed price action often precedes expansion phases.

The 30 day whale inflow average is curling upward, historically a precursor to liquidity absorption and reduced sell side pressure. Each past spike aligned with strong upside continuation or local bottoms.

Smart money appears to be positioning early, not chasing breakouts. Supply tightens while retail sentiment stays neutral, creating a classic imbalance setup ⚡

If inflows sustain above the 1000 BTC baseline, momentum could quickly flip into a volatility expansion and push BTC into the next leg higher. Watch the whales, they usually move first.
#AriaNaka #CZAMAonBinanceSquare
12 Brutal Mistakes I Made in 12 Years of CryptoSo You Don’t Have To Learn Them the Hard WayI’ve survived twelve years in crypto. I’ve made millions. I’ve lost millions. The gains teach you confidence. The losses teach you truth. These are the mistakes that cost me the most. 1. Chasing Pumps Is Just Providing Exit Liquidity Every time I bought into a coin already exploding, I convinced myself momentum would continue. Most of the time, I was simply late. When something is trending everywhere, you are rarely early. You are often the liquidity for someone smarter who entered before you. 2. Most Coins Don’t Collapse. They Fade The majority of projects don’t die in dramatic crashes. They slowly lose volume, updates stop, the community shrinks, and attention disappears. One day you realize liquidity is gone and so is your capital. 3. Narrative Often Beats Technology I backed technically superior projects that went nowhere. Meanwhile, tokens with powerful stories, branding, and community momentum outperformed. Markets reward belief and attention before they reward engineering. 4. Liquidity Is More Important Than Paper Gains An unrealized gain means nothing if you cannot exit efficiently. Thin order books trap capital. Always assess depth, not just price. 5. Most Investors Quit at the Worst Time Cycles are emotional weapons. People buy during euphoria and sell during despair. Many who left in bear markets watched prices recover without them. Longevity alone is an edge. 6. Security Failures Hurt More Than Bad Trades I have been hacked, phished, and SIM-swapped. Poor operational security erased profits faster than volatility ever did. Capital without protection is temporary. 7. Overtrading Transfers Wealth to Exchanges Constant activity feels productive. It rarely is. The more I traded, the more I paid in fees and mistakes. Holding strong assets through noise often outperformed aggressive trading. 8. Regulation Changes the Game Overnight Governments move slowly until they don’t. Tokens built on regulatory gray zones can disappear quickly. Long-term survival requires anticipating policy risk. 9. Community Is an Asset Class I underestimated culture. Memes, loyalty, and shared identity drive liquidity and resilience. A loud, committed community can sustain a project longer than strong fundamentals alone. 10. The 100x Window Is Brief Life-changing returns happen early, quietly, and without consensus. Once everyone agrees something is a great opportunity, the asymmetric upside is usually gone. 11. Bear Markets Build Real Advantage The quiet phases are when knowledge compounds. Reading, building, accumulating quality assets at depressed valuations created my largest long-term returns. Bull markets reward positioning built in silence. 12. Concentration Without Risk Control Is Gambling I have seen fortunes disappear from a single oversized bet. Conviction must be balanced with survival. You cannot compound if you are wiped out. Twelve years taught me this: crypto does not reward intelligence alone. It rewards discipline, patience, adaptability, and survival. If even one of these lessons saves you from repeating my mistakes, you are already ahead of where I once was. In crypto, staying in the game is often the biggest advantage of all.

12 Brutal Mistakes I Made in 12 Years of CryptoSo You Don’t Have To Learn Them the Hard Way

I’ve survived twelve years in crypto. I’ve made millions. I’ve lost millions. The gains teach you confidence. The losses teach you truth. These are the mistakes that cost me the most.
1. Chasing Pumps Is Just Providing Exit Liquidity
Every time I bought into a coin already exploding, I convinced myself momentum would continue. Most of the time, I was simply late. When something is trending everywhere, you are rarely early. You are often the liquidity for someone smarter who entered before you.

2. Most Coins Don’t Collapse. They Fade
The majority of projects don’t die in dramatic crashes. They slowly lose volume, updates stop, the community shrinks, and attention disappears. One day you realize liquidity is gone and so is your capital.

3. Narrative Often Beats Technology
I backed technically superior projects that went nowhere. Meanwhile, tokens with powerful stories, branding, and community momentum outperformed. Markets reward belief and attention before they reward engineering.

4. Liquidity Is More Important Than Paper Gains
An unrealized gain means nothing if you cannot exit efficiently. Thin order books trap capital. Always assess depth, not just price.

5. Most Investors Quit at the Worst Time
Cycles are emotional weapons. People buy during euphoria and sell during despair. Many who left in bear markets watched prices recover without them. Longevity alone is an edge.

6. Security Failures Hurt More Than Bad Trades
I have been hacked, phished, and SIM-swapped. Poor operational security erased profits faster than volatility ever did. Capital without protection is temporary.

7. Overtrading Transfers Wealth to Exchanges
Constant activity feels productive. It rarely is. The more I traded, the more I paid in fees and mistakes. Holding strong assets through noise often outperformed aggressive trading.

8. Regulation Changes the Game Overnight
Governments move slowly until they don’t. Tokens built on regulatory gray zones can disappear quickly. Long-term survival requires anticipating policy risk.

9. Community Is an Asset Class
I underestimated culture. Memes, loyalty, and shared identity drive liquidity and resilience. A loud, committed community can sustain a project longer than strong fundamentals alone.

10. The 100x Window Is Brief
Life-changing returns happen early, quietly, and without consensus. Once everyone agrees something is a great opportunity, the asymmetric upside is usually gone.
11. Bear Markets Build Real Advantage
The quiet phases are when knowledge compounds. Reading, building, accumulating quality assets at depressed valuations created my largest long-term returns. Bull markets reward positioning built in silence.

12. Concentration Without Risk Control Is Gambling
I have seen fortunes disappear from a single oversized bet. Conviction must be balanced with survival. You cannot compound if you are wiped out.

Twelve years taught me this: crypto does not reward intelligence alone. It rewards discipline, patience, adaptability, and survival.
If even one of these lessons saves you from repeating my mistakes, you are already ahead of where I once was.
In crypto, staying in the game is often the biggest advantage of all.
I Lost $136,000 in a Single Hack. It Forced Me to Build a System That Can’t Be Broken Twice.In crypto, losses do not come with warnings. There is no fraud department, no reversal button, no customer support that can restore what is gone. When I lost $136,000 in a single exploit, it was not because I was careless. It was because I underestimated how sophisticated the threat landscape had become. That loss forced me to redesign everything. What emerged was not just better storage, but a layered security architecture built around one principle: assume compromise is always possible. Here is the system. 1. Understand the New Threat Model Crypto attacks in 2025 are no longer simple phishing emails. AI-generated scams, malicious smart contracts, wallet drainers embedded in fake social posts, and cloned decentralized applications are everywhere. If you interact on-chain, you are a potential target. Security begins with paranoia, not convenience. 2. Treat Your Seed Phrase as Absolute Authority Your seed phrase is your wallet. Whoever controls it controls everything. It should never be photographed, typed into cloud storage, saved in password managers, or stored digitally in any form. The only acceptable formats are physical, preferably metal backups resistant to fire and water. Multiple copies stored in separate secure locations reduce single-point failure risk. 3. Separate Storage by Function The biggest mistake I made was using one wallet for everything. Now the structure is strict. A cold wallet stores long-term holdings and never connects to risky applications. A hot wallet handles routine transactions. A burner wallet interacts with experimental dApps, mints, and unknown contracts. Exposure is compartmentalized. If the burner is compromised, the core remains untouched. This rule alone prevented another five-figure loss later. 4. Hardware Is Mandatory, Not Optional Browser wallets alone are insufficient for meaningful capital. Hardware wallets such as Ledger, Trezor, Keystone, or air-gapped devices dramatically reduce remote attack surfaces. Cold storage is not about convenience. It is about eliminating entire categories of risk. 5. Assume Every Link Is Malicious Fake websites can perfectly replicate legitimate platforms. Search engine ads and social media links are frequently weaponized. Access important platforms through bookmarked URLs only. Verify domains carefully before signing any transaction. 6. Control Smart Contract Permissions Every token approval grants spending rights. Many users forget that these permissions persist indefinitely. Regularly auditing and revoking unused approvals reduces exposure dramatically. Security is not a one-time setup. It is maintenance. 7. Strengthen Account-Level Protection Text message two-factor authentication is vulnerable to SIM swap attacks. Authentication apps or hardware security keys provide stronger protection. Every exchange account, email, and connected service must meet the same standard. 8. Remove Counterparty Dependency Funds left on exchanges are not under your control. Platform freezes, insolvency, or breaches can block access instantly. Self-custody is not ideology. It is risk management. 9. Build Redundancy and Recovery Plans Backups must survive theft, fire, and natural disasters. The three-two-one principle applies well: multiple backups, stored in different physical locations, with at least one offsite. Additionally, plan inheritance structures so assets are accessible to trusted parties if something happens to you. 10. Conduct Routine Security Audits Once a month, review wallet history, revoke unnecessary permissions, verify backup integrity, and reassess exposure. Complacency is the silent vulnerability that eventually costs the most. The hardest lesson I learned is that in crypto, one mistake is enough. Years of caution can be erased by a single signature on a malicious contract. There is no safety net. No recovery desk. No forgiveness from the blockchain. Security is not a product you buy. It is a system you design and a mindset you maintain. In crypto, you are not just the investor. You are the bank, the vault, and the security team.

I Lost $136,000 in a Single Hack. It Forced Me to Build a System That Can’t Be Broken Twice.

In crypto, losses do not come with warnings. There is no fraud department, no reversal button, no customer support that can restore what is gone. When I lost $136,000 in a single exploit, it was not because I was careless. It was because I underestimated how sophisticated the threat landscape had become.
That loss forced me to redesign everything. What emerged was not just better storage, but a layered security architecture built around one principle: assume compromise is always possible.
Here is the system.
1. Understand the New Threat Model
Crypto attacks in 2025 are no longer simple phishing emails. AI-generated scams, malicious smart contracts, wallet drainers embedded in fake social posts, and cloned decentralized applications are everywhere. If you interact on-chain, you are a potential target. Security begins with paranoia, not convenience.

2. Treat Your Seed Phrase as Absolute Authority
Your seed phrase is your wallet. Whoever controls it controls everything. It should never be photographed, typed into cloud storage, saved in password managers, or stored digitally in any form. The only acceptable formats are physical, preferably metal backups resistant to fire and water. Multiple copies stored in separate secure locations reduce single-point failure risk.

3. Separate Storage by Function
The biggest mistake I made was using one wallet for everything. Now the structure is strict. A cold wallet stores long-term holdings and never connects to risky applications. A hot wallet handles routine transactions. A burner wallet interacts with experimental dApps, mints, and unknown contracts. Exposure is compartmentalized. If the burner is compromised, the core remains untouched. This rule alone prevented another five-figure loss later.
4. Hardware Is Mandatory, Not Optional
Browser wallets alone are insufficient for meaningful capital. Hardware wallets such as Ledger, Trezor, Keystone, or air-gapped devices dramatically reduce remote attack surfaces. Cold storage is not about convenience. It is about eliminating entire categories of risk.

5. Assume Every Link Is Malicious
Fake websites can perfectly replicate legitimate platforms. Search engine ads and social media links are frequently weaponized. Access important platforms through bookmarked URLs only. Verify domains carefully before signing any transaction.
6. Control Smart Contract Permissions
Every token approval grants spending rights. Many users forget that these permissions persist indefinitely. Regularly auditing and revoking unused approvals reduces exposure dramatically. Security is not a one-time setup. It is maintenance.

7. Strengthen Account-Level Protection
Text message two-factor authentication is vulnerable to SIM swap attacks. Authentication apps or hardware security keys provide stronger protection. Every exchange account, email, and connected service must meet the same standard.
8. Remove Counterparty Dependency
Funds left on exchanges are not under your control. Platform freezes, insolvency, or breaches can block access instantly. Self-custody is not ideology. It is risk management.

9. Build Redundancy and Recovery Plans
Backups must survive theft, fire, and natural disasters. The three-two-one principle applies well: multiple backups, stored in different physical locations, with at least one offsite. Additionally, plan inheritance structures so assets are accessible to trusted parties if something happens to you.
10. Conduct Routine Security Audits
Once a month, review wallet history, revoke unnecessary permissions, verify backup integrity, and reassess exposure. Complacency is the silent vulnerability that eventually costs the most.

The hardest lesson I learned is that in crypto, one mistake is enough. Years of caution can be erased by a single signature on a malicious contract.
There is no safety net. No recovery desk. No forgiveness from the blockchain.
Security is not a product you buy. It is a system you design and a mindset you maintain.
In crypto, you are not just the investor. You are the bank, the vault, and the security team.
Everyone wishes they bought $BTC during extreme fearful times But most people don’t have the balls to do so
Everyone wishes they bought $BTC during extreme fearful times
But most people don’t have the balls to do so
🔥 $BTC resets, Long Term Holders quietly load up LTH NUPL has pulled back to 0.39, a zone historically linked to late cycle corrections rather than market tops, signaling profit compression instead of structural weakness Despite recent volatility, most long term wallets remain in unrealized profit and the metric stays well above zero, confirming there is no broad capitulation or fear driven selling Coins continue rotating from short term traders into strong hands, tightening liquid supply and creating the kind of silent accumulation phase that typically precedes powerful expansions If NUPL reclaims the mid profit band around 0.5 to 0.6, historical behavior suggests momentum acceleration and a higher probability of trend continuation, not distribution ⚠
🔥 $BTC resets, Long Term Holders quietly load up

LTH NUPL has pulled back to 0.39, a zone historically linked to late cycle corrections rather than market tops, signaling profit compression instead of structural weakness

Despite recent volatility, most long term wallets remain in unrealized profit and the metric stays well above zero, confirming there is no broad capitulation or fear driven selling

Coins continue rotating from short term traders into strong hands, tightening liquid supply and creating the kind of silent accumulation phase that typically precedes powerful expansions

If NUPL reclaims the mid profit band around 0.5 to 0.6, historical behavior suggests momentum acceleration and a higher probability of trend continuation, not distribution ⚠
862,000 JOBS ERASED, THE BIGGEST DOWNWARD REVISION SINCE 2009 FINANCIAL CRISIS. The annual BLS benchmark revision shows the U.S. economy created far fewer jobs than originally reported. Total 2025 job growth was cut down to just 181,000 jobs for the entire year. For comparison: 2024 added 1,459,000 jobs. That’s a massive slowdown year over year. On average, 2025 saw only about 15,000 jobs added per month after revisions, one of the weakest years for job creation outside recession periods. This −862K revision is the largest downward revision since the 2009 financial crisis. Not only that, the total federal employees dropped to 2.68 million, the lowest level in 60 years. Month by month data was revised lower almost across the board. Some months that originally showed job gains were revised close to zero or negative. At one point, total employment levels were overstated by over 1 million jobs vs. actual payroll records. This also continues a pattern: • 2023 → revised lower • 2024 → revised lower • 2025 → revised even more lower So for three straight years, job growth has been overestimated in real time. Yes, January showed +130K jobs and unemployment at 4.3%. But that single month strength sits on top of a labor market that was far weaker through 2025 than headline data suggested. Now if this trend continues, recession risks rise even more because job creation is the backbone of consumer spending and economic growth. A weaker labor market increases pressure on the Fed to support the economy through rate cuts, liquidity injections, or even QE if conditions deteriorate further. So while markets focus on today's strong jobs print, the revised data underneath is pointing to a much softer economic backdrop going forward.
862,000 JOBS ERASED, THE BIGGEST DOWNWARD REVISION SINCE 2009 FINANCIAL CRISIS.

The annual BLS benchmark revision shows the U.S. economy created far fewer jobs than originally reported.

Total 2025 job growth was cut down to just 181,000 jobs for the entire year.

For comparison:
2024 added 1,459,000 jobs. That’s a massive slowdown year over year.

On average, 2025 saw only about 15,000 jobs added per month after revisions, one of the weakest years for job creation outside recession periods.

This −862K revision is the largest downward revision since the 2009 financial crisis.

Not only that, the total federal employees dropped to 2.68 million, the lowest level in 60 years.

Month by month data was revised lower almost across the board. Some months that originally showed job gains were revised close to zero or negative.

At one point, total employment levels were overstated by over 1 million jobs vs. actual payroll records.

This also continues a pattern:

• 2023 → revised lower
• 2024 → revised lower
• 2025 → revised even more lower

So for three straight years, job growth has been overestimated in real time. Yes, January showed +130K jobs and unemployment at 4.3%.

But that single month strength sits on top of a labor market that was far weaker through 2025 than headline data suggested.

Now if this trend continues, recession risks rise even more because job creation is the backbone of consumer spending and economic growth.

A weaker labor market increases pressure on the Fed to support the economy through rate cuts, liquidity injections, or even QE if conditions deteriorate further.

So while markets focus on today's strong jobs print, the revised data underneath is pointing to a much softer economic backdrop going forward.
$BTC has some decent liquidity clusters on both sides. A lot of degens are going 50x or 100x long/short, and they'll be taken out. I think a revisit of $65,000 and a pump to $68,000 will both happen soon. {future}(BTCUSDT)
$BTC has some decent liquidity clusters on both sides.

A lot of degens are going 50x or 100x long/short, and they'll be taken out.

I think a revisit of $65,000 and a pump to $68,000 will both happen soon.
How Limit Orders Work: Precision Execution in Volatile MarketsLimit Order is a type of trade order that lets you set the exact price you want to buy or sell assets (such as crypto, stock…). Unlike a Market Order, which executes immediately at the current market price, a Limit Order only executes when the market reaches the price you set. Market Orders are useful when you need to enter or exit immediately and don’t care about small price differences. Limit Orders are for people who want price control, can wait, or trade low-liquidity tokens. What is Limit Order? How Limit Orders help preventing Slippage Slippage is the difference between the price you expect and the price you actually get when your order executes. According to research from the Sei, total slippage costs in 2024 exceeded $2.7B, up 34% from the previous year. Slippage is usually driven by a combination of market conditions and execution mechanics. It often occurs when liquidity is low, meaning there are not enough matching orders at the desired price. During periods of high volatility, prices can move rapidly while an order is being processed.  Large trade sizes can also cause slippage by consuming multiple price levels. On DEXs, AMM mechanics amplify this effect, as large trades shift the token ratio in the pool and push the execution price away from the expected level. What is slippage? How does a Limit Order solve the slippage problem? By placing a Limit Order, you clearly define the maximum price you are willing to buy or the minimum price you are willing to sell. The order will never execute at a worse price than what you set, helping you avoid negative slippage even in volatile or low-liquidity markets. Common Types of Limit Orders Buy Limit Order You place a buy order at a price lower than the current price. The order executes only when the price drops to your specified level or lower. This fits when you believe the price may dip before moving up. For example, if BTC is trading at $70,500 and you believe a short-term pullback is likely, you can place a buy limit order at $70,000. The order will only execute if the market trades at that price or lower. This approach helps avoid buying into temporary price spikes and gives you more control over entry price. Buy Limit Order Sell Limit Order You place a sell order at a price higher than the current price. The order executes only when the price rises to your specified level or higher. This is commonly used to take profit at a target price. Suppose BTC is trading at $60,000 and your target is $80,000. By placing a sell limit order at $80,000, the trade will execute automatically once the price reaches that level. If the market fails to rally, the order remains open. This method enables disciplined profit-taking without constant monitoring. Sell Limit Order Stop-Limit Order This combines a Stop Order and a Limit Order. You set two prices: a Stop Price (trigger price) and a Limit Price (execution price). When the market hits the Stop Price, the Limit Order becomes active.  For example, you bought SOL at $120 and it is now trading at $135. To protect profits, you set a stop price at $128 and a limit price at $126.  When the market hits $128, a sell limit order at $126 becomes active. The trade executes only if liquidity exists at that price, avoiding extreme slippage during sharp moves. Stop-Limit Order Differences between Limit Order vs Market Order The main difference between limit orders and market orders comes down to the trade-off between price certainty and execution speed. A market order prioritizes immediate execution, making it useful when speed matters, but it exposes traders to slippage, especially during high volatility or when liquidity is thin.  A limit order, on the other hand, lets you define the exact price you are willing to trade at, offering better cost control and discipline. The downside is that execution is not guaranteed, and fast-moving markets can leave limit orders unfilled. Differences between Limit Order vs Market Order Pros and Cons of Limit Orders Pros First, limit orders give you full control over execution price. You choose exactly where you want to buy or sell, rather than accepting whatever the market offers at that moment. This is especially useful in choppy conditions, where small price differences can meaningfully affect long-term returns. Second, because a limit order only executes at your chosen price or better, it protects you from unexpected slippage during volatile moves. Even when the market spikes or drops quickly, you will never be filled at a worse price than intended, which helps preserve your risk-reward assumptions. Third, once a limit order is placed, it works for you in the background. You do not need to watch the chart constantly or react emotionally to short-term price movements. When price reaches your level, the trade executes automatically, making execution more systematic and less stressful. Finally, using limit orders encourages patience and discipline. Instead of chasing price or reacting to sudden momentum, you commit to predefined levels aligned with your strategy. Over time, this reduces FOMO-driven decisions and helps maintain consistency across different market conditions. Pros of Limit Order Cons The biggest downside of limit orders is that execution is not always guaranteed. If the market moves close to your price but never actually trades at it, the order remains unfilled. In strong trends, this can mean watching price move away without you. Furthermore, even if the market touches your limit price, a limit order may not fully execute. If available liquidity at that level is limited, only part of your order will be filled, while the rest stays open. This can be frustrating during fast or crowded markets. Markets do not always move cleanly. Price can reverse sharply or continue trending in your favor without ever touching your limit level. In those cases, a strict limit order may cause you to miss an otherwise profitable trade, especially during high-momentum moves. Limit Orders are a must-have tool for any serious trader, especially in prediction markets where liquidity is often low and spreads are wide. They help you control your trading price, avoid slippage, and trade with more discipline. As a leading Trading Terminal Aggregator, Whales Prediction provides everything from professional charts and order book depth to smart money tracking and multiple order types, including Limit Orders. It’s a solid platform for both beginners learning prediction markets and experienced traders optimizing their strategies. #AriaNaka #LimitOrders

How Limit Orders Work: Precision Execution in Volatile Markets

Limit Order is a type of trade order that lets you set the exact price you want to buy or sell assets (such as crypto, stock…). Unlike a Market Order, which executes immediately at the current market price, a Limit Order only executes when the market reaches the price you set.
Market Orders are useful when you need to enter or exit immediately and don’t care about small price differences. Limit Orders are for people who want price control, can wait, or trade low-liquidity tokens.
What is Limit Order?
How Limit Orders help preventing Slippage
Slippage is the difference between the price you expect and the price you actually get when your order executes. According to research from the Sei, total slippage costs in 2024 exceeded $2.7B, up 34% from the previous year.
Slippage is usually driven by a combination of market conditions and execution mechanics. It often occurs when liquidity is low, meaning there are not enough matching orders at the desired price. During periods of high volatility, prices can move rapidly while an order is being processed. 
Large trade sizes can also cause slippage by consuming multiple price levels. On DEXs, AMM mechanics amplify this effect, as large trades shift the token ratio in the pool and push the execution price away from the expected level.
What is slippage?
How does a Limit Order solve the slippage problem?
By placing a Limit Order, you clearly define the maximum price you are willing to buy or the minimum price you are willing to sell. The order will never execute at a worse price than what you set, helping you avoid negative slippage even in volatile or low-liquidity markets.
Common Types of Limit Orders
Buy Limit Order
You place a buy order at a price lower than the current price. The order executes only when the price drops to your specified level or lower. This fits when you believe the price may dip before moving up.
For example, if BTC is trading at $70,500 and you believe a short-term pullback is likely, you can place a buy limit order at $70,000. The order will only execute if the market trades at that price or lower. This approach helps avoid buying into temporary price spikes and gives you more control over entry price.
Buy Limit Order
Sell Limit Order
You place a sell order at a price higher than the current price. The order executes only when the price rises to your specified level or higher. This is commonly used to take profit at a target price.
Suppose BTC is trading at $60,000 and your target is $80,000. By placing a sell limit order at $80,000, the trade will execute automatically once the price reaches that level. If the market fails to rally, the order remains open. This method enables disciplined profit-taking without constant monitoring.
Sell Limit Order
Stop-Limit Order
This combines a Stop Order and a Limit Order. You set two prices: a Stop Price (trigger price) and a Limit Price (execution price). When the market hits the Stop Price, the Limit Order becomes active. 
For example, you bought SOL at $120 and it is now trading at $135. To protect profits, you set a stop price at $128 and a limit price at $126. 
When the market hits $128, a sell limit order at $126 becomes active. The trade executes only if liquidity exists at that price, avoiding extreme slippage during sharp moves.
Stop-Limit Order
Differences between Limit Order vs Market Order
The main difference between limit orders and market orders comes down to the trade-off between price certainty and execution speed. A market order prioritizes immediate execution, making it useful when speed matters, but it exposes traders to slippage, especially during high volatility or when liquidity is thin. 
A limit order, on the other hand, lets you define the exact price you are willing to trade at, offering better cost control and discipline. The downside is that execution is not guaranteed, and fast-moving markets can leave limit orders unfilled.
Differences between Limit Order vs Market Order
Pros and Cons of Limit Orders
Pros
First, limit orders give you full control over execution price. You choose exactly where you want to buy or sell, rather than accepting whatever the market offers at that moment. This is especially useful in choppy conditions, where small price differences can meaningfully affect long-term returns.
Second, because a limit order only executes at your chosen price or better, it protects you from unexpected slippage during volatile moves. Even when the market spikes or drops quickly, you will never be filled at a worse price than intended, which helps preserve your risk-reward assumptions.
Third, once a limit order is placed, it works for you in the background. You do not need to watch the chart constantly or react emotionally to short-term price movements. When price reaches your level, the trade executes automatically, making execution more systematic and less stressful.
Finally, using limit orders encourages patience and discipline. Instead of chasing price or reacting to sudden momentum, you commit to predefined levels aligned with your strategy. Over time, this reduces FOMO-driven decisions and helps maintain consistency across different market conditions.
Pros of Limit Order
Cons
The biggest downside of limit orders is that execution is not always guaranteed. If the market moves close to your price but never actually trades at it, the order remains unfilled. In strong trends, this can mean watching price move away without you.
Furthermore, even if the market touches your limit price, a limit order may not fully execute. If available liquidity at that level is limited, only part of your order will be filled, while the rest stays open. This can be frustrating during fast or crowded markets.
Markets do not always move cleanly. Price can reverse sharply or continue trending in your favor without ever touching your limit level. In those cases, a strict limit order may cause you to miss an otherwise profitable trade, especially during high-momentum moves.
Limit Orders are a must-have tool for any serious trader, especially in prediction markets where liquidity is often low and spreads are wide. They help you control your trading price, avoid slippage, and trade with more discipline.
As a leading Trading Terminal Aggregator, Whales Prediction provides everything from professional charts and order book depth to smart money tracking and multiple order types, including Limit Orders. It’s a solid platform for both beginners learning prediction markets and experienced traders optimizing their strategies.
#AriaNaka #LimitOrders
$BTC Today is the 11th, a double confluence overlap with the 14th. As mentioned before, over the past 11 instances we’ve dropped 7 out of 11 times around these dates. The key isn’t just the date itself though, it’s the price action leading into it. As you can see, BTC is down -3% following the 11th. Almost every pump into the 14th reversed because price pushed higher into that pivot. In fact, 5 out of the 7 times we pumped into the 14th, we saw a reversal. What’s different this time is that we’re dumping into the 14th pivot instead of pumping into it. That shift in dynamic matters. If we’re dropping into the pivot rather than pumping into it, the probability structure changes. Instead of further downside, there’s a real case for upside following the 14th. With sentiment turning heavily bearish into this area, shorting here doesn’t make much sense. The better approach may be patience, sit on the sidelines and look for longs into the pivot to catch a potential upside move. (Given structure supports it)
$BTC Today is the 11th, a double confluence overlap with the 14th.

As mentioned before, over the past 11 instances we’ve dropped 7 out of 11 times around these dates. The key isn’t just the date itself though, it’s the price action leading into it. As you can see, BTC is down -3% following the 11th.

Almost every pump into the 14th reversed because price pushed higher into that pivot. In fact, 5 out of the 7 times we pumped into the 14th, we saw a reversal.

What’s different this time is that we’re dumping into the 14th pivot instead of pumping into it.

That shift in dynamic matters. If we’re dropping into the pivot rather than pumping into it, the probability structure changes. Instead of further downside, there’s a real case for upside following the 14th.

With sentiment turning heavily bearish into this area, shorting here doesn’t make much sense. The better approach may be patience, sit on the sidelines and look for longs into the pivot to catch a potential upside move. (Given structure supports it)
AriaNaka
·
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$BTC Called the bottom at 63k when the market was fearful, I am still confident in that call.

But now at 70k the bears softened their opinion and 50k calls because it will be "front run".

So locally (keyword), I am bearish again and remain short as per last posts.
A whale is trying to do max damage to $BTC price. Just today, he has deposited $340,000,000 in $BTC on Binance in 2 transactions. After each transaction, #Bitcoin has dropped $2,700-$3,000 in a few hours.
A whale is trying to do max damage to $BTC price.

Just today, he has deposited $340,000,000 in $BTC on Binance in 2 transactions.

After each transaction, #Bitcoin has dropped $2,700-$3,000 in a few hours.
LABOR MARKET SURPRISE SENDS FUTURES HIGHER US stock futures jumped after job data came in much stronger than expected. The US economy added 130,000 jobs in January, vs. 66,000 estimated. Unemployment rate fell to 4.3% vs. 4.4% expected, showing that the labor market is improving. After the release: • US futures moved higher • #Gold slipped • $BTC pumped $2,400 from today's bottom and trading near $68,000 It seems like the market now thinks that recession risk is getting lower now.
LABOR MARKET SURPRISE SENDS FUTURES HIGHER

US stock futures jumped after job data came in much stronger than expected.

The US economy added 130,000 jobs in January, vs. 66,000 estimated.

Unemployment rate fell to 4.3% vs. 4.4% expected, showing that the labor market is improving.

After the release:
• US futures moved higher
#Gold slipped
$BTC pumped $2,400 from today's bottom and trading near $68,000

It seems like the market now thinks that recession risk is getting lower now.
🔥 $BTC Realized Loss explodes above $2.3B, capitulation or pre breakout fuel On chain data just flashed one of the strongest stress signals this cycle. #Bitcoin Realized Loss 7DMA spiked past 2.3 billion dollars, a level historically seen only during panic driven sell offs and late stage shakeouts. Every major spike like this marked forced capitulation - Weak hands exit - Strong hands absorb Showing coins are being transferred from short term panic sellers to long term conviction buyers. This divergence often forms the base before volatility expansion. If history rhymes, this is not quiet weakness. It is pressure building. Smart money watches capitulation, not candles.
🔥 $BTC Realized Loss explodes above $2.3B, capitulation or pre breakout fuel

On chain data just flashed one of the strongest stress signals this cycle. #Bitcoin Realized Loss 7DMA spiked past 2.3 billion dollars, a level historically seen only during panic driven sell offs and late stage shakeouts.

Every major spike like this marked forced capitulation - Weak hands exit - Strong hands absorb
Showing coins are being transferred from short term panic sellers to long term conviction buyers. This divergence often forms the base before volatility expansion.

If history rhymes, this is not quiet weakness. It is pressure building.
Smart money watches capitulation, not candles.
TREND RESEARCH FINAL PNL: -$869M Jack Yi’s Trend Research finished closing out their final $ETH positions on Sunday. At their peak, they were long $2.1B of ETH. Now, their on-chain accounts are completely empty. Their final PnL is -$869M.
TREND RESEARCH FINAL PNL: -$869M

Jack Yi’s Trend Research finished closing out their final $ETH positions on Sunday. At their peak, they were long $2.1B of ETH. Now, their on-chain accounts are completely empty.

Their final PnL is -$869M.
$BTC Pretty weak showing overall after the initial bounce. Bulls failed to push higher past that $72K+ mark and instead saw price break down again Unless ~$68k is retaken, the fib retracement levels are the ones to watch in the short term. {future}(BTCUSDT)
$BTC Pretty weak showing overall after the initial bounce. Bulls failed to push higher past that $72K+ mark and instead saw price break down again

Unless ~$68k is retaken, the fib retracement levels are the ones to watch in the short term.
Dollar-Cost Averaging (DCA): The Smart Way to Build Crypto Positions Over TimeThe main benefit of dollar-cost averaging is that it reduces the risk of making a bet at the wrong time. Market timing is among the hardest things to do when it comes to trading or investing. Often, even if the direction of a trade idea is correct, the timing might be off – which makes the entire trade incorrect. Dollar-cost averaging helps mitigate this risk.  If you divide your investment into smaller chunks, you’ll likely have better results than if you were investing the same amount of money in one large chunk. Making a purchase that’s poorly timed is surprisingly easy, and it can lead to less than ideal results. What’s more, you can eliminate some biases from your decision-making. Once you commit to dollar-cost averaging, the strategy will make the decisions for you.  Dollar-cost averaging, of course, doesn’t completely mitigate risk. The idea is only to smooth the entry into the market so that the risk of bad timing is minimized. Dollar-cost averaging absolutely won’t guarantee a successful investment – other factors must be taken into consideration as well. As we’ve discussed, timing the market is extremely difficult. Even the biggest trading veterans struggle to accurately read the market at times. As such, if you have dollar-cost averaged into a position, you might also need to consider your exit plan. That is, a trading strategy for getting out of the position. Now, if you’ve determined a target price (or price range), this can be fairly straightforward. You, again, divide up your investment into equal chunks and start selling them once the market is closing in on the target. This way, you can mitigate the risk of not getting out at the right time. However, this is all completely up to your individual trading system. Some people adopt a “buy and hold” strategy, where the goal is to never sell, as the purchased assets are expected to continually appreciate over time. Take a look at the performance of the Dow Jones Industrial Average in the last century below. Performance of the Dow Jones Industrial Average (DJIA) since 1915. While there are short-term periods of recession, the Dow has been in a continual uptrend. The purpose of a buy and hold strategy is to enter the market and stay in the position long enough so that the timing doesn’t matter. However, it’s worth keeping in mind that this kind of strategy is usually geared towards the stock market and may not apply to the cryptocurrency markets. Bear in mind that the performance of the Dow is tied to a real-world economy. Other asset classes will perform very differently. Dollar-cost averaging example Let’s look at this strategy through an example. Let’s say we’ve got a fixed dollar amount of $10,000, and we think it’s a reasonable bet to invest in Bitcoin. We think that the price will likely range in the current zone, and it’s a favorable place to accumulate and build a position using a DCA strategy. We could divide the $10,000 up into 100 chunks of $100. Each day, we’re going to buy $100 worth of Bitcoin, no matter the price. This way, we’re going to spread out our entry to a period of about three months. Now, let’s demonstrate the flexibility of dollar-cost averaging with a different game plan. Let’s say Bitcoin has just entered a bear market, and we don’t expect a prolonged bull trend for at least another two years. But, we do expect a bull trend eventually, and we’d like to prepare in advance. Should we use the same strategy? Probably not. This investment portfolio has a much larger time horizon. We’d have to be prepared that this $10,000 will be allocated to this strategy for another few years. So, what should we go for? We could divide the investment into 100 chunks of $100 again. However, this time, we’re going to buy $100 worth of Bitcoin each week. There are more or less 52 weeks in a year, so the entire strategy will be executed in over a little less than two years. This way, we’ll build up a long-term position while the downtrend runs its course. We’re not going to miss the train when the uptrend starts, and we have also mitigated some of the risks of buying in a downtrend. But keep in mind that this strategy can be risky – we’d be buying in a downtrend after all. For some investors, it could be better to wait until the end of the downtrend is confirmed before entering. If they wait it out, the average cost (or share price) will probably be higher, but a lot of the downside risk is mitigated in return. Dollar-cost averaging calculator You can find a neat dollar-cost averaging calculator for Bitcoin on dcabtc.com. You can specify the amount, the time horizon, the intervals, and get an idea of how different strategies would have performed over time. You’ll find that in the case of Bitcoin, which is in a sustained uptrend over the long-term, the strategy would have been consistently working quite well. Below, you can see the performance of your investment if you’ve bought just $10 worth of Bitcoin every week for the last five years. $10 a week doesn’t seem that much, doesn’t it? Well, as of April 2020, you would’ve invested in total about $2600, and your stack of bitcoins would be worth about $20,000. Performance of buying $10 of BTC every week for the last five years. The case against dollar-cost averaging While dollar-cost averaging can be a lucrative strategy, it does have its skeptics as well. It undoubtedly performs best when the markets experience big swings. This makes sense, as the strategy is designed to mitigate the effects of high volatility on a position. Dollar-cost averaging is a redeemed strategy for entering into a position while minimizing the effects of market volatility. It involves dividing up the investment into smaller chunks and buying at regular intervals. The main benefit of this strategy is that it alleviates the need to time the market, which can be challenging. Investors who prefer not to actively monitor the markets can still participate effectively using the DCA method. However, some skeptics argue that dollar-cost averaging may cause investors to miss out on gains during bull markets. That said, missing out on some gains isn't  the end of the world dollar-cost averaging remains a convenient and effective investment strategy for many. #AriaNaka #DCA

Dollar-Cost Averaging (DCA): The Smart Way to Build Crypto Positions Over Time

The main benefit of dollar-cost averaging is that it reduces the risk of making a bet at the wrong time. Market timing is among the hardest things to do when it comes to trading or investing. Often, even if the direction of a trade idea is correct, the timing might be off – which makes the entire trade incorrect. Dollar-cost averaging helps mitigate this risk. 
If you divide your investment into smaller chunks, you’ll likely have better results than if you were investing the same amount of money in one large chunk. Making a purchase that’s poorly timed is surprisingly easy, and it can lead to less than ideal results. What’s more, you can eliminate some biases from your decision-making. Once you commit to dollar-cost averaging, the strategy will make the decisions for you. 

Dollar-cost averaging, of course, doesn’t completely mitigate risk. The idea is only to smooth the entry into the market so that the risk of bad timing is minimized. Dollar-cost averaging absolutely won’t guarantee a successful investment – other factors must be taken into consideration as well.
As we’ve discussed, timing the market is extremely difficult. Even the biggest trading veterans struggle to accurately read the market at times. As such, if you have dollar-cost averaged into a position, you might also need to consider your exit plan. That is, a trading strategy for getting out of the position.
Now, if you’ve determined a target price (or price range), this can be fairly straightforward. You, again, divide up your investment into equal chunks and start selling them once the market is closing in on the target. This way, you can mitigate the risk of not getting out at the right time. However, this is all completely up to your individual trading system.
Some people adopt a “buy and hold” strategy, where the goal is to never sell, as the purchased assets are expected to continually appreciate over time. Take a look at the performance of the Dow Jones Industrial Average in the last century below.

Performance of the Dow Jones Industrial Average (DJIA) since 1915.
While there are short-term periods of recession, the Dow has been in a continual uptrend. The purpose of a buy and hold strategy is to enter the market and stay in the position long enough so that the timing doesn’t matter.
However, it’s worth keeping in mind that this kind of strategy is usually geared towards the stock market and may not apply to the cryptocurrency markets. Bear in mind that the performance of the Dow is tied to a real-world economy. Other asset classes will perform very differently.
Dollar-cost averaging example
Let’s look at this strategy through an example. Let’s say we’ve got a fixed dollar amount of $10,000, and we think it’s a reasonable bet to invest in Bitcoin. We think that the price will likely range in the current zone, and it’s a favorable place to accumulate and build a position using a DCA strategy.
We could divide the $10,000 up into 100 chunks of $100. Each day, we’re going to buy $100 worth of Bitcoin, no matter the price. This way, we’re going to spread out our entry to a period of about three months.

Now, let’s demonstrate the flexibility of dollar-cost averaging with a different game plan. Let’s say Bitcoin has just entered a bear market, and we don’t expect a prolonged bull trend for at least another two years. But, we do expect a bull trend eventually, and we’d like to prepare in advance.
Should we use the same strategy? Probably not. This investment portfolio has a much larger time horizon. We’d have to be prepared that this $10,000 will be allocated to this strategy for another few years. So, what should we go for?
We could divide the investment into 100 chunks of $100 again. However, this time, we’re going to buy $100 worth of Bitcoin each week. There are more or less 52 weeks in a year, so the entire strategy will be executed in over a little less than two years.

This way, we’ll build up a long-term position while the downtrend runs its course. We’re not going to miss the train when the uptrend starts, and we have also mitigated some of the risks of buying in a downtrend.
But keep in mind that this strategy can be risky – we’d be buying in a downtrend after all. For some investors, it could be better to wait until the end of the downtrend is confirmed before entering. If they wait it out, the average cost (or share price) will probably be higher, but a lot of the downside risk is mitigated in return.
Dollar-cost averaging calculator
You can find a neat dollar-cost averaging calculator for Bitcoin on dcabtc.com. You can specify the amount, the time horizon, the intervals, and get an idea of how different strategies would have performed over time. You’ll find that in the case of Bitcoin, which is in a sustained uptrend over the long-term, the strategy would have been consistently working quite well.
Below, you can see the performance of your investment if you’ve bought just $10 worth of Bitcoin every week for the last five years. $10 a week doesn’t seem that much, doesn’t it? Well, as of April 2020, you would’ve invested in total about $2600, and your stack of bitcoins would be worth about $20,000.

Performance of buying $10 of BTC every week for the last five years.
The case against dollar-cost averaging
While dollar-cost averaging can be a lucrative strategy, it does have its skeptics as well. It undoubtedly performs best when the markets experience big swings. This makes sense, as the strategy is designed to mitigate the effects of high volatility on a position.

Dollar-cost averaging is a redeemed strategy for entering into a position while minimizing the effects of market volatility. It involves dividing up the investment into smaller chunks and buying at regular intervals.
The main benefit of this strategy is that it alleviates the need to time the market, which can be challenging. Investors who prefer not to actively monitor the markets can still participate effectively using the DCA method.
However, some skeptics argue that dollar-cost averaging may cause investors to miss out on gains during bull markets. That said, missing out on some gains isn't  the end of the world dollar-cost averaging remains a convenient and effective investment strategy for many.
#AriaNaka #DCA
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