Physical Classroom-Advanced Stock Trading Course + Discipline

By sandeep Uncategorized
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About Course

Physical classrooms create a face-to-face environment for students and teachers. They refer to a classroom set-up where everyone can communicate with each other and engage.

This course includes comprehensive, advanced material that is helpful in trading confidently and effectively. You will get an excellent understanding of what makes a great trading strategy and how to test and develop your Strategy.

You will know how a Technical Indicator like the candlestick pattern, Type of Charts,Best indicators, Support & Resistance, Chart Patterns, Economy Analysis

Furthermore, we cover essential Fundamental Analysis topics, so you will be able to read into Fundamental Ratios easily

What Will You Learn?

  • Get Complete Knowledge of all markets Equity Derivative, Currency, Crypto & Commodity Markets
  • Get Complete practical training on Software used of SS Pro, Merolagani, Systemxlite, Smart-wealth, Nepsealpha)
  • Get Complete knowledge of Technical Analysis
  • Get Complete knowledge of Fundamental Analysis
  • How to Pick a Best Stock & Features of NEPSE Alpha

Course Content

Course Introduction

  • What is Stock, Commodity, Cryptocurrency & currency market ?
    20:14
  • What is Debenture, Bond & Mutual Fund ?
    20:50

Technical Analysis and its Application

Fundamental Analysis

Best Trading Strategies?
There is no single "best" trading strategy that works for everyone, as trading success depends on various factors including personal preferences, risk tolerance, trading style, and market conditions. However, here are some commonly used trading strategies that traders employ: Trend Following: This strategy involves identifying and trading in the direction of the prevailing trend. Traders may use technical indicators, trendlines, or moving averages to confirm the trend and enter trades accordingly. Breakout Trading: This strategy focuses on identifying price breakouts from consolidation or chart patterns. Traders look for significant price moves beyond support or resistance levels and enter trades in the direction of the breakout. Range Trading: Range trading involves identifying price ranges where the price oscillates between support and resistance levels. Traders may buy near support and sell near resistance, taking advantage of price reversals within the range. Mean Reversion: This strategy assumes that prices will eventually revert to their mean or average value after deviating from it. Traders identify overbought or oversold conditions and look for opportunities to enter trades in the opposite direction of the current price move. Momentum Trading: Momentum traders focus on strong price moves and seek to profit from continued price momentum. They may use technical indicators like the Relative Strength Index (RSI) or Moving Average Convergence Divergence (MACD) to identify overbought or oversold conditions and enter trades accordingly. Scalping: Scalping is a short-term trading strategy that aims to profit from small price movements. Traders make multiple quick trades, often within minutes, capturing small profits from frequent price fluctuations. Swing Trading: Swing traders hold positions for a few days to several weeks, aiming to capture short to medium-term price swings. They identify potential entry and exit points based on technical analysis, chart patterns, or fundamental factors. Event-Based Trading: This strategy focuses on trading around specific events such as earnings announcements, economic data releases, or geopolitical developments. Traders analyze the potential impact of these events on asset prices and take positions accordingly. Arbitrage: Arbitrage traders exploit price discrepancies between different markets or instruments to make risk-free profits. This strategy requires quick execution and advanced knowledge of different markets. Algorithmic Trading: Algorithmic trading involves using computer programs and algorithms to execute trades based on predefined rules and criteria. It can involve various strategies, such as trend following, statistical arbitrage, or high-frequency trading. It's important to note that no trading strategy guarantees success, and traders should develop and backtest their strategies, practice proper risk management, and adapt to changing market conditions. Additionally, traders should continually educate themselves, learn from experience, and consider factors such as market liquidity, volatility, and transaction costs when selecting and implementing trading strategies.

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