TradeReply Categories

Browse categories to find relevant articles and insights.

All Acquisitions Activist Investors Agriculture Commodities AI Investing Algorithmic Trading Altcoins Alternative Investments Application Programming Interface (API)Artificial Intelligence (AI)Asset Allocation Automated Market Makers Automation Backtesting Banking Sector Trading Behavioral Finance Bitcoin Black Swan Events Blockchain Bond Market Bonds Borrowing Risks Breakout Bubbles Business Valuation Methods Buybacks Candlestick Patterns Capital Structure Case Studies Central Bank Digital Currencies (CBDCs)Central Banks Chart Patterns Cloud Computing Commodities Company Balance Sheets Compliance Consumer Goods Copy Trading Corporate Finance Credit Rating Crowdfunding Crypto Trading Cryptocurrency Currency Valuation Dark Pools Data Providers Data Scraping Day Trading Decentralized Autonomous Organization (DAO)Decentralized Finance (DeFi)Deflation Derivative Valuation Digital Assets Digital Payments Dividends Domestic Trade Earnings Reports Economic Growth Economic Indicators Emerging Markets Emotional Trading Employment Reports Energy Markets Environmental Social & Governance (ESG)Equity ESG Investing Ethereum Ethical Investing Exchange-Traded Fund (ETF)Fees and Taxation Fibonacci Retracements Finance Policies Financial Analysis Financial Independence Retire Early (FIRE Movement)Financial Investing Financial Planning FinTech Fiscal Policy Fixed Income Flash Crashes Forex Trading Fragmentation Front-Running Fundamental Analysis Futures Trading Global Stock Exchanges Global Trade Governance Government Spending Greed Index Grid Trading Gross Domestic Product (GDP)Healthcare Sector Trading Hedge Fund Hedging Index Funds Inflation Initial Coin Offering (ICO)Initial Public Offering (IPO)Insider Trading Interest Rates International Monetary Fund (IMF)International Trade Investment Management Know Your Customer (KYC)Leverage Liquidity Long Buying Machine Learning in Trading Macroeconomics Margin Trading Market Analysis Market Capitalization Market Cycles Market Impact Market Makers Market Manipulation Market Microstructure Market Response Market Sentiment Market Structure Market Volatility Mergers Microcaps Microeconomics Mining Economics Momentum Stocks Momentum Trading Monetary Policy Moving Average Convergence Divergence (MACD)Moving Averages Mutual Funds Non-Fungible Tokens (NFTs)Notable Traders Options Trading Pairs Trading Penny Stocks Performance Metrics Personal Finance Pivot Points Portfolio Diversification Portfolio Management Position Sizing Privacy Coins Private Markets Prop Trading Firms Psychology of Trading Public Offerings Qualitative Analysis Quantitative Analysis Ratio Trading Real Estate Investment Trusts (REITs)Recession RegTech Regulatory Compliance Relative Strength Index (RSI)Resistance Levels Retail Trading Retirement Planning Reverse Splits Risk Analysis Risk Management Scalping Sector Rotation Securities and Exchange Commission (SEC)Security Measures

Sessions

Shareholders Short Selling Social Trading Special Purpose Acquisition Company (SPAC)Spoofing Tactics Stablecoins Staking Stock Buybacks Stock Dilution Stock Market Crashes Stock Trading Stocks Stop Loss Strategy Optimization Summits Supply Chains Supply Management Support Levels Swing Trading Take Profit Tariffs Technical Analysis Technical Breakouts The Future of Money Time Tokenized Securities Tokenomics Trade Execution Trading Bots Trading Conferences Trading Contracts Trading Discipline Trading Ethics Trading Forums Trading Legalities Trading Mindset Trading Off the News Trading Psychology Trading Regulations Trading Risks Trading Scandals Trading Strategies Trading Technology Trading Theory Trading Trends Trend Confirmation Trend Following Valuation Value Investing Venture Capital Volume Weighted Average Price (VWAP)Wealth Management Whale Activity

Filter:Sessions

Category – Sessions

Sessions in trading refer to the specific periods during which financial markets are open for trading activity. In trading, session times vary by market, such as the New York session for U.S. stocks or the Tokyo session for forex. Traders adjust their strategies based on the active trading hours of different markets, as volatility and liquidity fluctuate. The overlap between major trading sessions, like London and New York, often sees increased activity, presenting more opportunities for traders.

...

NTH WEEK

Nth Week represents the number of weeks since the start of the dataset or period, offering sequential week tracking. Formatted as an integer, e.g., 01.

NTH YEAR

Nth Year represents the number of years since the start of the dataset or period, allowing sequential year tracking. Formatted as an integer, e.g., 01.

WEEK

Week represents the specific week extracted from a DATETIME field, enabling weekly granularity for analysis. Formatted as a 2-digit number, 01–53.

YEAR

Year represents the specific year extracted from a DATETIME field, offering yearly granularity for analysis. Formatted as a 4-digit number, e.g., 2024.

TIMEZONE

Timezone represents the geographic region's standard time, influencing trading hours, market activity, and transaction timing. It provides context for understanding when trades occur relative to global markets.

...