How to get ideas about indicator coding?

<p id="isPasted">To get ideas for indicator coding, focus on understanding core trading concepts, exploring existing community indicators, and engaging with other traders and developers online.&nbsp;</p><p><strong>Explore Trading Concepts</strong></p><p>Ideas often stem from identifying a specific market phenomenon you want to measure or visualize.&nbsp;</p><ul><li>Identify Market Conditions: Think about how to programmatically identify trending vs. range-bound markets, or high vs. low volatility periods.</li><li>Focus on Core Data: Most indicators use combinations of price (open, high, low, close), volume, and time. Consider new ways to combine or interpret these elements.</li><li>Study Existing Indicators: Deconstruct how classic indicators like the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Bollinger Bands work. Ask yourself how they could be improved, perhaps by adding multi-timeframe analysis or new confirmation filters.</li><li>Define a Clear Objective: Decide what you want your indicator to achieve (e.g., identify entry/exit points, measure momentum, spot divergences) before you start coding. </li></ul><p><strong>Utilize Online Communities and Resources</strong></p><p>The trading community is a great source of innovation and feedback.&nbsp;</p><ul><li>Trading Platform Libraries: Websites like TradingView and other platforms have extensive libraries of community-created scripts. Reviewing these can spark ideas and help you learn different coding approaches.</li><li>Online Forums and Subreddits: Engage in communities like r/algotrading or r/Daytrading on Reddit. Many traders share ideas, ask for help with specific concepts, and even look for people to collaborate with on new indicators.</li><li>Programming Resources: If you are new to coding, use general programming resources like freeCodeCamp, Codecademy, or university courses (like MIT Opencourseware) to learn the foundational programming concepts.</li><li>Books and Education: Books on technical analysis and quantitative trading can provide deep dives into various mathematical formulas and strategies that can be translated into code. </li></ul><p><strong>Develop a Hypothesis and Test</strong></p><p>Once you have an idea, formulate a clear hypothesis about how it should work, then test and refine it against historical data (backtesting) to ensure it is robust.&nbsp;</p>