

This cryptocurrency is not listed for trading or services on Gate.
QuantCheck(QTK) Price Live Chart
QuantCheck(QTK) Price Today
QuantCheck(QTK) price today is $0.0006709, with a 24-hour trading volume of $733.88 and as such QuantCheck(QTK) has a market cap of $70.78K, giving it a market dominance of 0.0000023%. The QuantCheck(QTK) price moved +0.0016% in the last 24 hours.
QTK Price Data
- 24h Turnover$733.88
- All-Time High(ATH)$0.8153
- 24h High$0.0006709
- All-Time Low(ATL)$0.0003598
- 24h Low$0.0006709
QTK Market Cap Infos
- Market Cap$70.78K
- Fully Diluted Valuation$324.07K
- Market Cap/FDV21.84%
- Market SentimentNeutral
QTK Supply
- Circulating Supply105.5M QTK
- Total Supply120.75M QTK
- Max Supply483M QTK
About QuantCheck (QTK)
Contract

0xadeb98a...79a7002e0
# What is QuantCheck?
QuantCheck is a platform designed specifically for crypto backtesting. Backtesting allows you to test your trading strategies against historical market data. Imagine a time machine for your trades – you can see how your strategy would have performed in the past, under various market conditions. This invaluable insight empowers you to:
# Purpose of QuantCheck:
Revolutionizing Crypto Backtesting: QuantCheck is specifically designed for crypto backtesting, providing traders with a tool to test their strategies against historical market data.
Empowering Traders: It allows users to evaluate how their strategies would have performed in the past under different market conditions.
# Functions of QuantCheck:
Refining Trading Approaches: Users can identify strengths and weaknesses in their strategies before risking real capital, enabling them to refine their approach.
Effective Risk Management: Backtesting highlights potential pitfalls, helping traders implement safeguards and protect their funds by managing risk effectively.
Boosting Confidence: Successful backtesting results instill trust in traders' strategies, fostering disciplined execution during live trading.
# Utility of QuantCheck:
Data-Driven Trading Edge: By analyzing historical performance, users gain valuable insights into their strategy's effectiveness, allowing them to develop a data-driven edge in the market.
Optimization of Strategies: Traders can fine-tune entry and exit points, adjust parameters, and tailor their approach for optimal performance based on insights gained from backtesting.
Objective Decision Making: Backtesting minimizes emotional influence by fostering a more objective and disciplined approach to trading, reducing the likelihood of impulsive decisions.