Quantopian Tutorial LESSON 8
This is a continuation of Last time.
LESSON 8 Your Portfolio and Plotting Variables
context.portfolio
It is a context object that was used like a receiver of global variables so far, but aportfolio object is prepared under it. This object contains various information (property) about the portfolio.
| Properties | Contents |
|---|---|
| capital_used | Cash consumed by the transaction |
| cash | Cash remaining in the portfolio |
| pnl | Realized P / L and Unrealized P / L |
| positions | All open positions keyed by security ID |
| portfolio_value | Total of cash and open positions |
| positions_value | Total open positions |
| returns | Cumulative P & L for Positions (10% return is 0.1) |
| starting_cash | Initial capital |
| start_date | Start Date and Time (UTC), the date and time when the algorithm was executed for live trading |
The code below closes all the positions you own.
for security in context.portfolio.positions:
order_target_percent(security, 0)
Plotting Variables
By using the record () function, you can graph the data you want to record. Up to 5 types of data can be recorded (plot).
The code below executes AAPL longs and SPY shorts by 50% each daily, and records the cash used and the remaining cash using the recode () function at the daily close. [^ 1]
def initialize(context):
context.aapl = sid(24)
context.spy = sid(8554)
schedule_function(rebalance, date_rules.every_day(), time_rules.market_open())
schedule_function(record_vars, date_rules.every_day(), time_rules.market_close())
def rebalance(context, data):
order_target_percent(context.aapl, 0.50)
order_target_percent(context.spy, -0.50)
def record_vars(context, data):
record(capital_used=context.portfolio.capital_used,
cash=context.portfolio.cash)
[^ 1]: Changed Original Tutorial Code.
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