Prix de PipPIP

Hyperliquid is the #8 largest blockchain by total value locked (TVL) today. Explore the most popular coins, NFTs, and more across Hyperliquid. Highlights Hyperliquid All Coins $1,813,688,343 Total Value Locked2.1% - 24h Trading Volume0.0% Hyperliquid Coins Track prices of Hyperliquid coins and explore what’s trending.  #Coin  Price 1h 24h 7d 24h Volume Market CapLast 7 Days23 Hyperliquid HYPE $28.400.9%3.4%4.9%$347,379,480$9,496,392,838358 Purr PURR $0.37820.6%0.4%25.8%$16,362,185$227,583,417438 Hypurr Fun HFUN $165.250.6%0.5%36.6%$2,773,447$164,474,4841118 PiP PIP $39.380.5%1.5%45.9%$2,160,938$30,859,3981078 FARM FARM $28.061.6%5.3%10.9%$1,042,274$33,558,5021543 Liquina LQNA

$REX has launched its EcoNode Staking Program, a first-of-its-kind initiative that combines staking rewards with environmental sustainability. This program enables users to stake $REX tokens while directly contributing to green projects such as reforestation, renewable energy, and ocean clean-up efforts. A percentage of the staking rewards is allocated to funding these initiatives, creating a dual impact of earning and giving back to the planet. The program is powered by $REX’s Proof-of-Impact Protocol (PIP), which tracks and verifies the environmental contributions made through staking. Users can monitor real-time updates on the positive impact their staked tokens generate, such as the number of trees planted or the energy saved. In addition, $REX has partnered with global environmental organizations to ensure the credibility and transparency of these projects. Stakers also receive exclusive NFTs as a token of appreciation for their participation, representing their contributions to the cause. With this innovative approach, $REX is transforming staking into a socially responsible activity. By aligning financial incentives with environmental goals, $REX is setting a precedent for how blockchain can drive sustainable change.

Share Your Trading P&L to Win Up to 3,000 USDT Good Plan Or just Luck? Imma just take it back with this set of unforgettable trades, Im talking the likes of the $PNUT At first pumping to what we all thought was the moon, $MOVE cascading right down behind $BTC on every opportunity it had and TROY/USDT.. Doing both, depends how it was feeling. Just when it commited the biggest spike move up or down which often seemed like a one way ticket, it was back to where it was before zooming in the opposite direction. Showing us just how small our individual trades and hypothesis were in the grand scheme of the market. I would love to sit here and say that everything was planned and calcuated to the last cent and pip but I would just be letting my ego run loose around these magical trades , the truth is we can have a strategy to intitially direct ourselves but the true diamonds and gems are forged through live improvisation (and a bit of teeth gritting) according to market behaviour, because as we all should know by now, the market will not wait for our plan to come into reality but will rather brings it's plan into our reality.

$USUAL My $USUAL Trading Returns: Consistency in Action The USUAL trading strategy has been my go-to approach for generating consistent profits in the market. Focused on leveraging predictable patterns and systematic execution, this strategy has delivered steady returns while minimizing risks. Over the past few weeks, my results using the USUAL approach have reinforced the value of disciplined trading and well-defined rules. In this article, I’ll share an overview of my $USUAL trading returns, highlight the trades that stood out, and discuss the key takeaways from my recent performance. --- Performance Overview Here’s a snapshot of my trading results using the $USUAL strategy over the past 30 days: Total Trades Executed: 25 Win Rate: 84% Average Return Per Trade: 9% Highest Single-Trade Return: 22% Cumulative Return: 112% The high win rate and consistent returns are a testament to the reliability of the USUAL strategy, which focuses on low-risk, high-probability setups. --- Key Highlights of My $USUAL Trading Returns 1. Best-Performing Trades Range-Bound Forex Trade Asset: EUR/USD Setup: The pair was consolidating between 1.0950 (support) and 1.1050 (resistance). Execution: Bought at support (1.0950). Took profit at 1.1040, just below resistance. Return: A clean 90-pip gain (8% return on position size). Seasonal Commodity Play Asset: Crude Oil Futures Setup: Crude oil prices showed a seasonal rebound due to increased winter demand. Execution: Entered long at $72.50 after confirming an upward trend. Exited at $79.00 as momentum slowed. Return: A 22% gain within two weeks. Trend-Following Equity Trade Asset: A mid-cap tech stock. Setup: The stock was trending above its 50-day moving average, signaling strong bullish momentum. Execution: Bought on a pullback to the moving average. Sold near the next resistance level. Return: A 14% gain over four trading sessions. --- 2. Consistent Smaller Gains While standout trades like crude oil delivered higher returns, the majority of my profits came from smaller, consistent trades. These ranged from 5-10% gains, highlighting the power of compounding and disciplined execution. --- Factors Behind My Success 1. Adherence to Rules Sticking to the USUAL framework ensured I avoided emotional decisions. Clear entry, exit, and risk management rules provided structure to every trade. 2. Focus on Patterns By targeting assets with predictable behaviors—like range-bound forex pairs or seasonal commodities—I was able to reduce uncertainty and improve the likelihood of success. 3. Risk Management The use of tight stop-loss orders and favorable risk-reward ratios (typically 1:3) minimized losses and amplified the impact of winning trades. 4. Technical Validation Indicators like RSI, moving averages, and Bollinger Bands played a crucial role in confirming trade setups and filtering out noise. --- Lessons Learned 1. Patience is Key Not every day offers ideal setups. Waiting for the right opportunities was far more profitable than forcing trades. 2. Reacting to Market Changes While the USUAL strategy is rooted in predictability, markets can sometimes deviate from historical patterns. Adapting to these changes ensured I stayed on track. 3. Diversification Matters Spreading trades across multiple asset classes—forex, equities, and commodities—helped balance my portfolio and reduce overall risk. --- Challenges Faced 1. False Signals Some trades entered on early indications failed to materialize, resulting in minor losses. Solution: Used additional confirmation tools like volume analysis to validate signals. 2. Over-Optimization Over-analyzing trades sometimes led to missed opportunities. Solution: Simplified my decision-making process by focusing on the most reliable patterns.

I called that spike peftectly 4 hours ago (see my previous post) … $PIP is far from done. It’s about to perfect storm.