Trading Strategies Series
Trading Strategies Series Part 1: Gapup Gapdown Bullish Bearish
Gapup
A stock/index is said to open gap up when it’s opening price is higher than its previous day’s close price
Gap Down
A stock/index is said to open gap down when it’s opening price is lower than its previous day’s close price
Bullish
A stock is said to be bullish if it trades near its high price for most of the time during a day
Bearish
A stock is said to be bearish if it trades near its low price for most of the time during a day
Trading Strategies Series part 2: Gapup Gapdown Screener
In this video we will learn how to screen those stocks which have opened Gapup/Gapdown and are
continuously Bullish/Bearish since the opening of market using Trading Campus’s proprietary
software.
Trading Strategies Series Part 3: Options Basics
Call Option
A call option is bought when a trader is bullish on the underlying. In buying a call option risk is limited to the premium paid
Put Option
A put option is bought when a trader is bearish on the underlying. In buying a put option risk is limited to the premium paid
Trading Strategies Series Part 4: Options Strategies
Bull Spread
A Bull Spread is a directional strategy and is used when bullishness is expected in the stock/index chosen. The trader buys one in the money call and sells one out of the money call.
Bear Spread
A Bear Spread is a directional strategy and is used when bearishness is expected in the stock/index chosen. The trader buys one in the money put and sells one out of the money put.
Trading Strategies Series Part 5: Candlestick Pattern Hunter
Candlestick patterns are the pictorial representation of the fight between bulls and bears. There are
several Bullish and Bearish Candlestick patterns which when observed on the chart, indicates the
start of a new Bull/Bear Trend
Trading Strategies Series Part 6: Condition Builder and Backtesting
While formulating a trading strategy it is very important to see if it were applied on the historical
data, what was the profit and loss. This process of applying a trading strategy on historical data is
called as Back testing.
