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

• Tony Cooper Volatility Strategy #3 - VIX Contango - Tweaked v1.0
• Average Maximum Drawdown
• Trading System Template: Position Sizing Techniques
• Percent Rank Market Indicator
• Choose function
• Upside-Downside and Custom Standard Deviation
• Covered Put Screener
• Trading System based on the Previous Week SPY Return
• NSE Open Interest
• Market trading rules
• More trading objects...

Fundamental Analysis

• Market Cap Historical Data for the US Stock Market
• Company Net Income - US Stocks
• Yahoo Historical Buy/Sell Recommendations
• Income Statement & Growth
• Forex Tweets
• SocialPicks Analysis
• Tweet Sentiment Index for the Forex and Stock Market
• ETF Data: NAV - PE- Fees - Assets - Yield - Beta
• News data for US companies from Google RSS feed
• iShares ETFs - Class, Total Net Assets, Inception Date and Number/Top Holdings
• More trading objects...