Random Value for Each Trading Bar

The built-in "random" QuantShare function returns a random value given a min and max interval. The random number is the same for all bars. It will be no lower than "min" and no higher than "max".

The current "RandomValues" function is almost the same but instead of assigning the same random value to all bars; each trading bar gets a different random number. Each bar's value will also be within [min, max] interval.

This trading indicator can have several usages. It could be used for example in backtesting to test the robustness of a trading system by rejecting random trades.

Example:

buy = [your buy rule];
buy = buy and RandomValues(0, 100) > 50;

// The above rule will reject half buy signals randomly. Each backtest will give us a different result.

You can also add a dummy optimizable variable and use the optimizer to test multiple times the same trading system (each time with a different set of random values)

Example:
Optimize("a", 1, 20, 1);

Technical Analysis

• Market Rule based on the Crossover Between Stock Close prices and their Moving Average
• Rank Industries based on the average Relative Strength Index
• Day of week and Week number function
• Relative Vigor Index - Signal Line
• Interest Rate Swaps - Historical Data
• Trend Deviation Indicator
• Super Stock Screener Ranking System
• ETF Symbols - Hong Kong Exchanges
• Price Pattern Drawing Tool
• Strategy Optimization on Random in-sample and out-of-sample Periods
• More trading objects...

Fundamental Analysis

• Cash ON Hand for US stocks
• PEG and Price to Free Cash Flow above Market Averages
• Historical Earnings Surprise, EPS and Consensus Data
• Industry Index Name
• US Stocks: Exchange, Market, Sector, S&P 500, Optionable
• Price to Sales Ratio for US Stocks
• Fails to deliver
• Dow Jones U.S. Technology Sector Index Fund survivorship bias-free database downloader
• Insider Trading Data
• Forex Trading Indicator - Better than expected Economic Calendar Events
• More trading objects...