Binance Square

BlockchainBaller

image
Verified Creator
Trader || X (Twitter): @bl_ockchain || BNB Holder || Web3.0 || Binance KOL | Trade Setups are my Personal Opinions | #DYOR
Frequent Trader
4.4 Years
51 Following
230.1K+ Followers
568.6K+ Liked
29.9K+ Shared
Posts
PINNED
·
--
Bullish
𝐇𝐨𝐧𝐨𝐫𝐞𝐝 𝐭𝐨 𝐁𝐞 𝐀𝐦𝐨𝐧𝐠 𝐭𝐡𝐞 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧 𝟏𝟎𝟎 — 𝐍𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞 𝐓𝐨𝐩 𝟓 𝐓𝐫𝐚𝐝𝐞𝐫 𝐂𝐚𝐭𝐞𝐠𝐨𝐫𝐲! I’m truly grateful to everyone who supported, voted, and believed in me throughout this journey. Being ranked in the Top 5 Traders among the Blockchain 100 by Binance is a huge milestone — and it wouldn’t have been possible without this amazing community. Your trust and engagement drive me every day to share better insights, stronger analysis, and real value. The journey continues — this is just the beginning. Thank you, fam.
𝐇𝐨𝐧𝐨𝐫𝐞𝐝 𝐭𝐨 𝐁𝐞 𝐀𝐦𝐨𝐧𝐠 𝐭𝐡𝐞 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧 𝟏𝟎𝟎 — 𝐍𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞 𝐓𝐨𝐩 𝟓 𝐓𝐫𝐚𝐝𝐞𝐫 𝐂𝐚𝐭𝐞𝐠𝐨𝐫𝐲!

I’m truly grateful to everyone who supported, voted, and believed in me throughout this journey. Being ranked in the Top 5 Traders among the Blockchain 100 by Binance is a huge milestone — and it wouldn’t have been possible without this amazing community.

Your trust and engagement drive me every day to share better insights, stronger analysis, and real value. The journey continues — this is just the beginning. Thank you, fam.
PINNED
·
--
Bullish
Grateful to celebrate 200K followers on Binance Square. My heartfelt thanks to @richardteng , @CZ , and the Binance Square team — especially @blueshirt666 @karaveri — for their continuous support and leadership. A special Thanks and deep appreciation to my community for being the core of this journey.
Grateful to celebrate 200K followers on Binance Square. My heartfelt thanks to @Richard Teng , @CZ , and the Binance Square team — especially @Daniel Zou (DZ) 🔶 @Karin Veri — for their continuous support and leadership.

A special Thanks and deep appreciation to my community for being the core of this journey.
Liquidity Sweeps: The Market’s Favorite TrickCrypto markets don’t usually move in straight lines. Instead, price often takes sharp, emotional detours that feel designed to confuse traders. One of the most common and misunderstood of these moves is the liquidity sweep. It’s the sudden spike above resistance or dip below support that triggers stop-losses, liquidates leveraged positions, and then quickly reverses. To many traders it feels random. In reality, it’s often where the real game is being played. Liquidity simply means available orders in the market. Stop-losses, liquidation levels, breakout entries, and resting limit orders all create pockets of liquidity at obvious price zones. Highs and lows, round numbers, trendline touches, and previous support or resistance levels naturally attract these orders. When price approaches such areas, it isn’t just testing a level—it’s approaching a pool of fuel that can accelerate the next move. A liquidity sweep happens when price intentionally pushes into one of these crowded zones, fills those orders, and then rejects the area. For example, in an uptrend, price might dip slightly below a recent low. That drop triggers long stops and liquidates over-leveraged traders. Those forced sells provide liquidity for larger players to buy. Once that buying is complete, price snaps back upward, often continuing the original trend as if the dip never mattered. The same logic works in reverse. During a downtrend, price can spike above a recent high or resistance level. Breakout traders rush in long, while shorts get stopped out. Their buy orders allow big sellers to distribute positions at better prices. When that selling pressure is finished, price rolls over and resumes falling, leaving late buyers trapped. What makes liquidity sweeps so powerful is psychology. Retail traders are trained to place stops just beyond obvious levels and to chase breakouts when those levels break. Because so many participants use similar strategies, their orders cluster in predictable places. Markets don’t hunt individuals—they move toward where the most orders sit. The sweep is simply price traveling to where liquidity is concentrated. On lower timeframes, these moves can look chaotic: long wicks, sudden volatility spikes, and quick reversals. On higher timeframes, they often appear as brief deviations from structure before the trend continues. That’s why experienced traders zoom out. A sweep below support on the five-minute chart might still be holding perfectly inside a bullish structure on the four-hour or daily chart. Liquidity sweeps are especially common during high-impact moments—session opens, major news releases, funding resets, or periods of thin order books. During these times, it takes less capital to push price into a liquidity pocket, and the reaction afterward can be violent. That’s also why traders often feel the market becomes “crazy” around these events. It isn’t random volatility; it’s orders being collected. Understanding this concept changes how traders view fake breakouts and sudden stop hunts. Instead of asking, “Why did the market reverse on me again?” a better question becomes, “Was that level full of stops and breakout orders?” If price runs a high, instantly stalls, and snaps back into the previous range, that’s often a clue that liquidity was the real target—not trend continuation. Traders who adapt to this behavior usually become more patient. Rather than entering right at obvious support or resistance, they wait to see how price behaves around those areas. Does it sweep the level and reclaim it quickly? Does volume surge and then fade? Does structure on a higher timeframe remain intact? These details can separate a genuine breakout from a trap designed to harvest liquidity. Liquidity sweeps aren’t proof of manipulation by a single actor; they’re a natural result of how leveraged, order-driven markets work. When thousands of traders cluster their risk in the same places, price is statistically drawn there. Big players simply operate in a way that benefits from this structure, executing where orders are easiest to fill. In the end, thinking in terms of liquidity rather than just lines on a chart gives a deeper view of price action. Support and resistance still matter, but not because they are magical barriers—because they are magnets for orders. The next time price suddenly runs a level and reverses, it may not be the market being cruel. It may simply be doing what it does best: going where the liquidity is.

Liquidity Sweeps: The Market’s Favorite Trick

Crypto markets don’t usually move in straight lines. Instead, price often takes sharp, emotional detours that feel designed to confuse traders. One of the most common and misunderstood of these moves is the liquidity sweep. It’s the sudden spike above resistance or dip below support that triggers stop-losses, liquidates leveraged positions, and then quickly reverses. To many traders it feels random. In reality, it’s often where the real game is being played.

Liquidity simply means available orders in the market. Stop-losses, liquidation levels, breakout entries, and resting limit orders all create pockets of liquidity at obvious price zones. Highs and lows, round numbers, trendline touches, and previous support or resistance levels naturally attract these orders. When price approaches such areas, it isn’t just testing a level—it’s approaching a pool of fuel that can accelerate the next move.

A liquidity sweep happens when price intentionally pushes into one of these crowded zones, fills those orders, and then rejects the area. For example, in an uptrend, price might dip slightly below a recent low. That drop triggers long stops and liquidates over-leveraged traders. Those forced sells provide liquidity for larger players to buy. Once that buying is complete, price snaps back upward, often continuing the original trend as if the dip never mattered.

The same logic works in reverse. During a downtrend, price can spike above a recent high or resistance level. Breakout traders rush in long, while shorts get stopped out. Their buy orders allow big sellers to distribute positions at better prices. When that selling pressure is finished, price rolls over and resumes falling, leaving late buyers trapped.

What makes liquidity sweeps so powerful is psychology. Retail traders are trained to place stops just beyond obvious levels and to chase breakouts when those levels break. Because so many participants use similar strategies, their orders cluster in predictable places. Markets don’t hunt individuals—they move toward where the most orders sit. The sweep is simply price traveling to where liquidity is concentrated.

On lower timeframes, these moves can look chaotic: long wicks, sudden volatility spikes, and quick reversals. On higher timeframes, they often appear as brief deviations from structure before the trend continues. That’s why experienced traders zoom out. A sweep below support on the five-minute chart might still be holding perfectly inside a bullish structure on the four-hour or daily chart.

Liquidity sweeps are especially common during high-impact moments—session opens, major news releases, funding resets, or periods of thin order books. During these times, it takes less capital to push price into a liquidity pocket, and the reaction afterward can be violent. That’s also why traders often feel the market becomes “crazy” around these events. It isn’t random volatility; it’s orders being collected.

Understanding this concept changes how traders view fake breakouts and sudden stop hunts. Instead of asking, “Why did the market reverse on me again?” a better question becomes, “Was that level full of stops and breakout orders?” If price runs a high, instantly stalls, and snaps back into the previous range, that’s often a clue that liquidity was the real target—not trend continuation.

Traders who adapt to this behavior usually become more patient. Rather than entering right at obvious support or resistance, they wait to see how price behaves around those areas. Does it sweep the level and reclaim it quickly? Does volume surge and then fade? Does structure on a higher timeframe remain intact? These details can separate a genuine breakout from a trap designed to harvest liquidity.

Liquidity sweeps aren’t proof of manipulation by a single actor; they’re a natural result of how leveraged, order-driven markets work. When thousands of traders cluster their risk in the same places, price is statistically drawn there. Big players simply operate in a way that benefits from this structure, executing where orders are easiest to fill.

In the end, thinking in terms of liquidity rather than just lines on a chart gives a deeper view of price action. Support and resistance still matter, but not because they are magical barriers—because they are magnets for orders. The next time price suddenly runs a level and reverses, it may not be the market being cruel. It may simply be doing what it does best: going where the liquidity is.
$QNT vs. $BTC looks promising 👀
$QNT vs. $BTC looks promising 👀
So Real 😂😂
So Real 😂😂
$SUI below $1 what are you waiting for????
$SUI below $1

what are you waiting for????
Choose one only ... $ETH l $SOL
Choose one only ...

$ETH l $SOL
BIGGEST. BULL. RUN. EVER. coming soon $XRP
BIGGEST. BULL. RUN. EVER.

coming soon

$XRP
$ASTER hit my prediction dip price 0.5$ in just 5 months ✅ 2.3$ Next upcoming Target : 1$
$ASTER hit my prediction dip price 0.5$ in just 5 months ✅

2.3$

Next upcoming Target : 1$
Buy $DOGE now below $0.1 and thank me later $DOGE 60x Soon enough.
Buy $DOGE now below $0.1

and thank me later

$DOGE 60x Soon enough.
Our Prediction For Next 8 Months: $BTC : $100K-$150K $ETH : $5K-$10K $BNB : $700-$1100 $SOL: $300-$600 $XRP: $2-$4 $DOGE: $0.60-$1 $ICE: $0.01-$0.1 $DOT: $20-$80 $APT: $30-$70 $SUI: $6-$8 $PI: $1-$5 $LINK: $40-$80 $AVAX: $50-$100 $CORE: $5-$15 $MANTA: $3-$10 👇Did We Miss Any ?
Our Prediction For Next 8 Months:

$BTC : $100K-$150K
$ETH : $5K-$10K
$BNB : $700-$1100
$SOL: $300-$600
$XRP: $2-$4
$DOGE: $0.60-$1
$ICE: $0.01-$0.1
$DOT: $20-$80
$APT: $30-$70
$SUI: $6-$8
$PI: $1-$5
$LINK: $40-$80
$AVAX: $50-$100
$CORE: $5-$15
$MANTA: $3-$10

👇Did We Miss Any ?
Next 10X $SWARMS
Next 10X $SWARMS
HIGHERRR $XRP 🚀🚀🚀🚀
HIGHERRR $XRP 🚀🚀🚀🚀
$PEPE to $40B market cap by Oct 28, 2026? My thesis: In this meme supercycle, memecoins will dominate retail inflows. PEPE's iconic meme appeal and unbreakable community will fuel a 25x surge from today's $1.6b MC.
$PEPE to $40B market cap by Oct 28, 2026?

My thesis: In this meme supercycle, memecoins will dominate retail inflows.

PEPE's iconic meme appeal and unbreakable community will fuel a 25x surge from today's $1.6b MC.
$PEPE WILL CREATE MANY FRESH NEW MILLIONAIRES IN THE NEXT 3 MONTHS!!!
$PEPE WILL CREATE MANY FRESH NEW MILLIONAIRES IN THE NEXT 3 MONTHS!!!
Which #AI altcoin is the better long term investment? - $NEAR - $TAO - $RENDER - $ICP
Which #AI altcoin is the better long term investment?

- $NEAR
- $TAO
- $RENDER
- $ICP
·
--
Bearish
$M Parabolic run topped out and price is now unwinding aggressively with strong bearish candles and failed support reclaim.... Entry (DCA Zones) 1.36 – 1.42 1.48 – 1.55 Stop Loss 1.64 Targets 1.26 1.14 1.02 {future}(MUSDT)
$M Parabolic run topped out and price is now unwinding aggressively with strong bearish candles and failed support reclaim....

Entry (DCA Zones)
1.36 – 1.42
1.48 – 1.55

Stop Loss
1.64

Targets
1.26
1.14
1.02
I sold everything to buy more.... $BTC $ETH $SOL
I sold everything to buy more....

$BTC $ETH $SOL
$TRADOOR Strong impulsive rally from the base and now consolidating near highs, showing acceptance above the prior resistance zone.... Entry (DCA Zones) 1.27 – 1.23 1.19 – 1.15 1.08 – 1.02 Stop Loss 0.97 Targets 1.34 1.48 1.70
$TRADOOR Strong impulsive rally from the base and now consolidating near highs, showing acceptance above the prior resistance zone....

Entry (DCA Zones)
1.27 – 1.23
1.19 – 1.15
1.08 – 1.02

Stop Loss
0.97

Targets
1.34
1.48
1.70
$DUSK bias remains bullish while price holds above the breakout zone and forms higher lows.... Entry (DCA Zones) 0.1320 – 0.1285 0.1245 – 0.1210 0.1160 – 0.1125 Stop Loss 0.1080 Targets 0.1420 0.1580 0.1760
$DUSK bias remains bullish while price holds above the breakout zone and forms higher lows....

Entry (DCA Zones)
0.1320 – 0.1285
0.1245 – 0.1210
0.1160 – 0.1125

Stop Loss
0.1080

Targets
0.1420
0.1580
0.1760
Login to explore more contents
Explore the latest crypto news
⚡️ Be a part of the latests discussions in crypto
💬 Interact with your favorite creators
👍 Enjoy content that interests you
Email / Phone number
Sitemap
Cookie Preferences
Platform T&Cs