tradingdata

Updated 2026-06-27, community-wide trading

📊 The average win rate is 46.76%

🏆 The day with the highest win rate was 2026-04-01 at 78.08%. The day with the lowest win rate was 2026-01-25 at 15.69%

📅 The weekday with the highest average win rate was Wednesday at 47.20%. The weekday with the lowest average win rate was Monday at 46.45%

⏱️ The 7-day period with the highest average win rate ended on 2026-04-05 at 63.27%. The lowest 7-day period ended on 2026-06-24 at 35.60%

⚖️ The number of days with a win rate above the average is 333. The number of days with a win rate equal to or below the average is 392

📈 The number of days with a win rate above 50% is 208. The number of days with a win rate between 40% and 50% is 389. The number of days with a win rate below 40% is 128

#TradingData $BTC $ETH $SOL

$ATOM WHALE DATA SHOWS SHORTS CRUSHING LONGS AT 98% PROFIT 🐋

The numbers don’t lie — 218 short whales are sitting on $1.64M in unrealized profit, while 144 long whales are bleeding. With a 98.16% profitability rate on shorts, the big money has clearly picked a side.

Volume confirms the trend, but I’ve seen setups like this flip fast when everyone piles into one boat. The question is whether this short dominance has already been priced in or there’s more room to run.

Are you siding with the whales or waiting for a long squeeze?

Not financial advice. Always manage your risk.

#ATOM #WhaleWatch #CryptoAnalysis #TradingData

🔥

$HYPE SHORTS ARE DOMINATING DESPITE WHALES GOING LONG 📉

67.39% of short sellers are currently sitting in profit while more whales keep adding longs. That's a massive imbalance worth paying attention to.

The data is clear — shorts have the edge right now despite the hype narrative. When retail and whales disagree this sharply, the side with stronger conviction usually wins. Are you watching the volume confirm or deny this trend?

Not financial advice. Always manage your risk.

#HYPE #ShortSetup #CryptoAnalysis #TradingData

🔥

End of the rally in COOKIE/USDT? The data gives us the answer 📉
The chart of $COOKIE /USDT leaves us with a clear lesson today: euphoria always has a ceiling. After touching highs near 0.0110, the asset has entered a phase of necessary technical correction.
What do the real numbers behind this correction tell us?
Institutional distribution: We’re seeing capital leaving through large-volume orders (net -1.09 M), suggesting that the "strong hands" are taking profits.
Deleveraging: The drop in Open Interest confirms that many traders have closed positions amid uncertainty, removing the fuel that drove the initial surge.
Sentiment under pressure: The Long/Short ratio of the main traders has fallen from around 3.00 to 2.24, indicating that traders are reconsidering their long positions due to the lack of buying volume (Taker Volume).
Technical signal: The MACD shows a recent bearish crossover, confirming that the bullish momentum has lost strength and the market has entered a corrective adjustment.
In trading, we don’t trade what we want—we trade what the data shows. For now, the structure suggests caution and waiting for a clearer consolidation before looking for new entries.
Are you in this trade or do you prefer to stay on the sidelines? I’m reading your comments. 👇
#CryptoApex #COOKIE #TradingData

Whale Analysis: Decoding the Market Dynamics Behind the $UB Bounce 📊🐋

Quick bounces after a sharp drop always hide fascinating institutional moves 📉🔍 Looking at the data for the #UBUSDT perpetual pair on the 4-hour chart, we can clearly see an intense tug-of-war between buyers and sellers 🐂⚔️🐻

The Technical Picture 📈
The price formed a local bottom around 0.07154 following a steep decline 📉
The current recovery is pushing close to +30%, heavily backed by a noticeable spike in trading volume 🔥 This indicates a sudden influx of liquidity driving the momentum upward back into the 0.098 zone 🚀

Behind the Scenes with the Whales 🐋💼

Monitoring market depth and futures data reveals the real battlefield:
The Long/Short Ratio: Sentiment strongly favors the bulls at 141.66%, with total whale positions sitting at roughly 4.52M USDT 💪

Long Positions: There are 48 whales holding buy positions worth 2.65M USDT, with an average entry price of 0.0959 USDT 🟢 Currently, 66.66% of these positions are in profit due to the latest upward push 💰

Short Positions: On the flip side, 65 whales are locked in sell positions totaling 1.87M USDT, with an average entry of 0.0872 USDT 🔴 Only 15.38% of them are profitable right now, leaving the vast majority in an unrealized loss ⚠️

Recent 30-Minute Momentum: The whale Net Buy Volume reached 255.06K compared to just 54.52K in Net Sell Volume, highlighting sustained short-term buying pressure ⚡

Market Takeaway 🧠

This bounce is primary driven by buyers squeezing out short positions, triggering a rapid upward movement 💥
Keeping a close eye on volume consistency and whale liquidity levels is always key to understanding whether an aggressive move like this has the legs to sustain itself 🧭
What is your take on this price action? 🤔
Will the whales maintain this momentum? 👀

#DYOR
#CryptoAnalysis #WhaleAlert #TradingData .

Updated on 2026-06-20, community-wide trading

📊 The average win rate is 46.79%

🏆 The highest win-rate day was 2026-04-01 at 78.08%. The lowest win-rate day was 2026-01-25 at 15.69%

📅 The weekday with the highest average win rate is Wednesday at 47.33%. The weekday with the lowest average win rate is Thursday at 46.20%

⏱️ The 7-day period with the highest average win rate ended on 2026-04-05 at 63.27%. The lowest 7-day period ended on 2025-03-12 at 36.64%

⚖️ The number of days with a win rate above average is 331. The number of days with a win rate at or below average is 387

📈 The number of days with a win rate above 50% is 207. The number of days with a win rate between 40% and 50% is 386. The number of days with a win rate below 40% is 125

#TradingData $NVDAB $SPCXB $MUB

The Anatomy of the 96% $SIREN Collapse
A move from $1.30 to $0.05 wasn’t just volatility it was a lesson in why on-chain analysis matters.
-Bubblemaps reported that a wallet cluster controlling nearly 94% of the supply was spread across 200+ addresses.
-Distribution began, and roughly 670M SIREN entered the market.
-Lookonchain data showed about $64.8M USDT extracted:
- $25.7M moved to CEXs (Binance, Bitget, KuCoin)
- $39.1M remains across multiple wallets
-The derivatives market couldn’t withstand the pressure:
• Open Interest was near $98M before the crash
• More than $2.4M in longs were liquidated
• Daily futures volume exceeded $191M
On-chain investigators have linked the wallet cluster to addresses associated with DWF Labs, while blockchain data suggests roughly 595M SIREN may still remain under the control of the entity.Price action alone tells only part of the story. Holder concentration, wallet clusters, and on-chain flows can reveal risks long before charts do.
Always track distribution before chasing momentum.
#CryptoCrash #OnChainAnalysis #WhaleAlert #TradingData #Crypto

Updated as of 2026-06-12, based on the whole community trading

📊 The average win rate is 46.76%

🏆 The highest win-rate day was 2026-04-01 at 78.08%. The lowest win-rate day was 2026-01-25 at 15.69%

📅 The weekday with the highest average win rate is Wednesday at 47.31%. The weekday with the lowest average win rate is Thursday at 46.22%

⏱️ The strongest 7-day period ended on 2026-04-05, with an average win rate of 63.27%. The weakest 7-day period ended on 2025-03-12, with an average win rate of 36.64%

⚖️ The number of days with a win rate above the average is 326. The number of days with a win rate lower than or equal to the average is 384

📈 The number of days with a win rate above 50% is 203. The number of days with a win rate between 40% and 50% is 384. The number of days with a win rate below 40% is 123

#TradingData #CommunityStats $BTC $ETH $TON

*1INCH/USDT Money Flow - 1D 📊*

Mixed signals on $1INCH:

🟢 Large orders: +$74.9K inflow
🔴 Medium + Small: -$1.03M outflow
Total net outflow: -$962K

Price up +0.43% at $0.0928, but retail & mid-size traders are selling while whales are buying.

Divergence or accumulation? 🤔

#1INCH #Crypto #MoneyFlow #TradingData
_Not financial advice_

​#HEI #CryptoAnalysis #DeFi #TradingData

​📈 HEI/USDT pulling back but showing strong signs of a rebound! 🚀
​HEI is currently trading at $0.1644 (-3.18% over 24h), but look at that recent bounce on the chart! The buyers are stepping back in.
​🔹 24h Volume: 74.24M HEI ($11.19M USDT)
🔹 24h High: $0.1729 | 24h Low: $0.1317
​Holding the support line nicely. Let's see if it breaks today's high! 💎

Are we looking at a bullish trap or a real trend change?$ETH 📉📊

​Post body:

The market doesn’t forgive impatience. After the recent volatility in assets like ETH and other major pairs, it’s easy to fall into the narrative of "hopium." However, if we analyze the data in depth, the picture is more complex:

​Market divergence: While price struggles to hold key supports, the Long/Short ratio of the Top Traders shows an unusual persistence in long positions, which historically has preceded liquidity purges.

​Technical signal: On the 1-hour timeframes, the bearish MACD crossover is a warning we can’t ignore if we manage risk professionally.

​Sentiment: The drop in Open Interest confirms that the market is in a phase of "cooling off" and capital readjustment, far from a massive institutional entry.

​The question isn’t whether the price will rise or fall, but whether your strategy is prepared to handle volatility that, for now, continues to favor shorts in the short term.

​What do you think? Are we accumulating for a bounce, or getting ready for another step down? I’ll read your comments. 👇

​ #TradingData #BinanceSquareFamily #CryptoAnalysis #ShortPosition

$AVAX TREASURY FIRM CRASHES -38% ON NASDAQ DEBUT: Institutional Disconnect or Golden Buying Opportunity?

The traditional and crypto markets just witnessed a massive clash of sentiment. Avalanche Treasury $AVAX officially went public on the Nasdaq following a $675M SPAC merger—and immediately crashed over -38% on Day 1, closing down at $1.85.

Despite institutional heavyweights like VanEck, Galaxy Digital, and Pantera backing the vehicle, traditional equity investors rapidly dumped the stock.

Wall Street’s rejection of the $AVAX stock proxy reveals a harsh reality: equity investors aren't buying the "crypto treasury" premium right now.

However, with the underlying token holding its ground at deep value territory ($6.65) and a metric ton of corporate buy pressure locked in for the future, smart money might look at this retail capitulation as a textbook cyclical bottom.

What's your move? Are you accumulation-bound at $6.60, or waiting for lower? 👇
#AVAX #NASDAQ #TradingCommunity #CryptoNews #tradingdata

The market snapshot in file **35910.jpg** displays the current price and volume data for several major cryptocurrency perpetual pairs. **$BTC USDT** is leading with a price of **79,089.7** and a massive trading volume of **10.76B**, while **$ETH USDT** follows at **2,249.96** with **8.46B** in volume. Both assets maintain high liquidity across different stablecoin pairs like $USDC . Additionally, **SOLUSDT** is trading at **90.93** with a solid volume of **2.51B**, indicating strong market activity across the board for these top-tier digital assets.
* **BTCUSDT Target:** 82,500
* **ETHUSDT Target:** 2,450
* **SOLUSDT Target:** 105.00
#BTC #ETH #SOL #TradingData #BinanceSquare

📊 $LUNC DATA ANALYSIS: $0.01 or $1? The Real Math 🚀
🟢Let’s strip away the hype and look at the raw market cap mathematics for Terra Classic ($LUNC ).
📉 The Baseline Data
👉Circulating Supply: ~5.5 Trillion LUNC
👉Current Market Cap: ~$440 Million
To project future prices, we must calculate the required Market Cap (Price × Supply).
🚨 🧱 Scenario 1: LUNC to $0.01 (The One-Cent Target)

✳️The Reality: A $55B market cap is highly ambitious but historically possible in crypto. Bull runs have pushed memecoins like $DOGE and $SHIB to similar valuations.
✳️The Catch: This requires LUNC to reclaim a spot in the global Top 10, relying on explosive speculative volume rather than burns alone.
🚨🌌 Scenario 2: LUNC to $1.00 (The Absolute Dream)
✳️The Reality: This is double the size of the entire current crypto market cap combined.
✳️The Verdict: At current supply levels, $1 is mathematically impossible.
🔥 The Burn Rate Reality Check
🔆The community burns roughly 45 Billion LUNC per year through on-chain taxes and exchange support (like Binance).
🔆The Timeline: At this current rate, it would take over 100 years to burn the supply down to a level where a $1 price becomes fundamentally realistic.
💡 The Bottom Line
🔵The $1 Dream requires a radical, unprecedented supply destruction or utility catalyst that doesn't currently exist.
🔵The $0.01 Target is the real psychological battleground, dependent on massive retail momentum and cycle hype.
🔵Trade the waves, manage your risk, and keep your calculator close.(DYOR)(AI created image )(NFA)
What is your realistic target for LUNC? 👇
#LUNC #TerraClassic #CryptoAnalysisUpdate #BinanceSquare #tradingdata

📊 TRADING PERFORMANCE & MARKET SENTIMENT INDEX (FGI) REPORT – UPDATED 16/05/2026

The latest statistical data shows that the correlation coefficient between the FGI and Winrate remains low and continues to lean negative (r ~ -0.319). This further reinforces that FGI is not suitable as a tool for predicting price direction or identifying trade entries, but it still has practical value in quantifying position risk. Specifically, trading performance generally tends to decline when market sentiment enters the extreme excitement zone, making FGI more useful as an early risk-warning signal rather than a signal for expanding profit exposure.

Below is a summary of Winrate (WR), minimum breakeven R:R, and number of recorded days (n) across sentiment zones for reference:

🤑 Extreme Greed (≥80): WR 40.5% • R:R=1:1.47 • n=25
🤤 Greed (60–80): WR 45.1% • R:R=1:1.22 • n=215
😐 Neutral (40–60): WR 45.2% • R:R=1:1.21 • n=150
😨 Fear (20–40): WR 47.1% • R:R=1:1.12 • n=201
😱 Extreme Fear (<20): WR 52.9% • R:R=1:0.89 • n=92

The percentage of days with performance above the average level (46.61%) by sentiment zone:

🤑 Extreme Greed: 8.0%
🤤 Greed: 37.2%
😐 Neutral: 39.3%
😨 Fear: 54.7%
😱 Extreme Fear: 70.7%

➤ Scalping traders can use FGI as a guide to adjust expected profit targets when entering trades:

📈 When FGI is high, expected profit targets need to be raised to ensure a large enough R:R, helping compensate for the risk of a lower winrate.

📉 When FGI is low, expected profit targets can be reduced to increase capital turnover speed and make profit realization easier.

#TradingData #MarketInsights $BTC $ETH $TON

Updated May 16, 2026, community-wide trading

📊 The average win rate is 46.61%

🏆 The day with the highest win rate was 2026-04-01 at 78.08%. The day with the lowest win rate was 2026-01-25 at 15.69%

📅 The weekday with the highest average win rate was Wednesday at 46.94%. The weekday with the lowest average win rate was Thursday at 45.80%

⏱️ The 7-day period with the highest average win rate ended on 2026-04-05 at 63.27%. The lowest 7-day period ended on 2025-03-12 at 36.64%

⚖️ The number of days with a win rate above average was 316. The number of days with a win rate below or equal to average was 367

📈 The number of days with a win rate above 50% was 186. The number of days with a win rate from 40%–50% was 381. The number of days with a win rate below 40% was 116

#TradingData #MarketInsights $BTC $ETH $TON

🚨 $SKYAI VOLUME AND DEPTH ANALYSIS 🚨👇
I'm keeping an eye on $SKYAI , which is leading with a +89% pump. The volume of 557M USDT supports the strength of this move, although the order book shows a dominant supply of 69%. We're in a high-volatility zone where absorbing these sell orders will be key to maintaining the trend.
Monitoring $SKYAI as it leads with an +89% surge. Solid 557M USDT volume backs the trend, but the order book reveals a 69% dominant supply. We are in a high-volatility zone where absorbing these sales will be crucial to sustain the momentum.
#SKYAI #CryptoAnalysis #BinanceSquare #tradingdata #smartmoney

📊 TRADING PERFORMANCE & FEAR & GREED INDEX (FGI) REPORT – UPDATED 2026-03-21

The statistical data shows that the correlation coefficient between the FGI and the Win Rate remains low and continues to lean negative (r ~ -0.27). This result further confirms that FGI is not suitable as a tool for forecasting price direction or identifying entry points, but it still has practical value in quantifying position risk. More specifically, trading performance generally continues to weaken as market sentiment moves into extreme euphoria, so FGI is better used as an early risk warning signal rather than a signal for expanding profit targets.

Below is a summary of Win Rate (WR), minimum breakeven R:R, and number of observed days (n) across each sentiment zone for reference:
🤑 Extreme Greed (≥80): WR 40.5% • R:R=1:1.47 • n=25
🤤 Greed (60–80): WR 45.1% • R:R=1:1.22 • n=215
😐 Neutral (40–60): WR 45.6% • R:R=1:1.19 • n=138
😨 Fear (20–40): WR 46.7% • R:R=1:1.14 • n=180
😱 Extreme Fear (<20): WR 51.5% • R:R=1:0.94 • n=69

The share of days with performance above the average level (46.18%) in each zone is:
🤑 Extreme Greed: 12.0%
🤤 Greed: 38.6%
😐 Neutral: 42.0%
😨 Fear: 52.8%
😱 Extreme Fear: 69.6%

➤ Short-term traders can use FGI as a guide to adjust their expected profit targets when entering trades:
📈 When FGI is high, expected profit targets should be raised to ensure the R:R remains large enough to compensate for the declining win rate.
📉 When FGI is low, expected profit targets can be reduced to increase capital turnover speed and make profit realization easier.

#TradingData #MarketSentiment