About DefinedFi

1: What is DefinedFi

• Background DefinedFi emerged in response to the growing demand for DeFi and MEME token trading, aiming to provide traders with real-time, accurate market data and analysis tools.
• Key Features
  • Real-time price tracking: Offers real-time price trends for DeFi and MEME tokens
  • Multi-chain support: Covers token data across multiple blockchain networks
  • In-depth market analysis: Provides key metrics such as liquidity and trading volume
  • MEME token tracking: Special focus on emerging MEME tokens like PONKEI
• Trading Fees DefinedFi itself does not charge trading fees, but users will incur fees from the respective DEXs when conducting actual trades.

2: Functions of DefinedFi

• Price Charts:
  • Purpose: Display real-time token price trends
  • Usage: Select token, set time range
  • Note: Pay attention to candlestick patterns, identify potential trend reversals
• Market Data Analysis:
  • Purpose: Provide key metrics like liquidity, trading volume, market cap
  • Usage: View token detail pages
  • Note: Combine multiple indicators for comprehensive analysis, avoid misleading single indicators
• MEME Token Discovery:
  • Purpose: Quickly discover emerging popular MEME tokens
  • Usage: Check hot lists or use search function
  • Note: Be wary of pump and dump schemes, exercise caution with newly launched tokens
• Whale Wallet Monitoring:
  • Purpose: Track trading behavior of large holders
  • Usage: View token holder distribution
  • Note: Whale movements may indicate market trends, but could also be misleading operations

3: Security

As a data analysis platform, DefinedFi itself does not involve fund storage, thus the security risk is relatively low. However, potential risks still exist:

• Data delays or inaccuracies may lead to misinformed trading decisions
• The platform may suffer DDoS attacks, affecting service availability
• User privacy data may face the risk of leakage

4: FAQ

Q1: How to use DefinedFi for sniping trades?

• Use real-time price charts and volume data to identify potential breakout points
• Pay attention to newly listed MEME tokens, such as PONKEI
• Set price alerts to capture market opportunities timely
• Combine on-chain data analysis to predict whale movements

Q2: How does DefinedFi help prevent sandwich attacks?

• Provides detailed liquidity data to help assess slippage risk
• Displays depth charts for trading pairs, facilitating reasonable trade price setting
• Identifies frequent sandwich attack patterns through transaction history data
• Offers large transaction data to help avoid potential price manipulations

Q3: How to use DefinedFi for copy trading?

• Utilize whale wallet monitoring to track successful traders' operations
• Analyze capital flow of popular tokens to identify major players' movements
• Use sudden volume increase alerts to quickly follow market hotspots
• Note: Copy trading still carries risks, combine with personal judgment

Q4: What are DefinedFi's data sources and how is accuracy ensured?

• Data mainly comes from real-time transaction information of major blockchains
• Ensures data consistency through multi-node verification
• Cooperates with mainstream DEXs to obtain first-hand trading data
• Regularly cross-verifies with other data platforms to correct potential biases

Q5: How to use DefinedFi to discover early-stage potential projects?

• Focus on newly listed token lists, especially projects with sudden volume increases
• Analyze token holder distribution to find community-driven projects
• Use social media integration features to assess project heat and discussion levels
• Compare early-stage data of similar projects to identify potentially viral MEME tokens

5: User Precautions

• Data provided by DefinedFi is for reference only and does not constitute investment advice
• Trading decisions should consider multiple factors, avoid over-reliance on a single data source
• Always be alert to market risks, especially the high volatility of MEME tokens
• Protect personal privacy, avoid sharing sensitive trading information in public
• Regularly update and learn new analysis tools and features to improve decision-making ability
• Be wary of potential data manipulation, such as fake trading volumes or artificially created price fluctuations
• Cross-verify information from multiple data sources before making large trades
• Maintain rationality and patience, avoid impulsive decisions due to FOMO or FUD