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What Is a Trade Signal?


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    Highlights

  • Trade signals act as triggers for buying or selling based on predefined criteria to remove emotion from trading decisions
  • They can be used not just for quick trades but also for portfolio reconstitution, sector shifts, and asset class allocations
  • Common inputs for creating signals include technical patterns, moving averages, volume changes, interest rates, volatility, cycles, sentiment, and valuations
  • Traders should keep signals simple to manage and test them periodically as markets evolve rapidly
Table of Contents

What Is a Trade Signal?

Let me explain what a trade signal really is. It's essentially a trigger that tells you when to buy or sell a security or another asset, and it's based on some form of analysis. This could come from a human using technical indicators, or it might be automated through mathematical algorithms that look at market behavior, sometimes combined with other elements like economic indicators.

Key Takeaways

You need to remember that trading signals are straightforward triggers for buying or selling a security, all rooted in a set of pre-determined criteria. Beyond that, they help in rebuilding your portfolio, adjusting sector allocations, or even starting new positions. As a trader, you can build these signals from basic factors like earnings reports or sudden volume increases, or from more intricate ones that build on existing signals.

How a Trade Signal Works

Trade signals pull from a range of inputs across different fields. Technical analysis is usually the core, but you might also incorporate fundamental analysis, quantitative methods, economics, sentiment data, or even signals from other systems. The point here is to offer you, as an investor or trader, a mechanical way to make decisions without letting emotions get in the way when buying or selling.

These signals aren't limited to simple buy or sell actions. You can use them to tweak your portfolio, like deciding it's time to increase holdings in one sector such as technology while reducing in another like consumer staples. If you're trading bonds, signals might guide you on adjusting portfolio duration by selling one maturity and buying another. They even assist with broader asset class shifts, moving funds between stocks, bonds, and commodities like gold.

There's no cap on how complicated a trade signal can get, but I advise keeping it simple with just a few inputs. It's much easier to handle a basic signal generator and test it regularly to tweak or replace parts as needed. If you add too many inputs, it gets overly complex, demanding more time than you probably have. Markets shift quickly, so complex strategies might become outdated before you even finish testing them.

Example of a Trade Signal

People often link trade signals to fast-paced, in-and-out trading, but some are less frequent and focus on reversion or buying dips in stocks. A solid example is watching for times when price movements don't match the underlying fundamentals. Say the market is dropping due to scary headlines, but the fundamental data shows everything is healthy— that's when your signal might flash a 'good deal,' prompting you to buy the dip.

Creating a Trade Signal

When you're creating a trade signal, the possibilities are endless, but most traders aim to automate their own thought processes. For instance, you might set one up to buy a stock with a low price-to-earnings ratio when a specific technical pattern breaks upward, prices are above a certain moving average, and interest rates are declining.

Common Inputs for Trade Signals

  • Technical pattern breakout or breakdown, including shapes like triangles, rectangles, head-and-shoulders, or trendlines.
  • Moving average cross, such as when trading crosses above or below 50- or 200-day averages, or when two averages intersect.
  • Volume surge, where unusually high volume often signals an upcoming market move, and in futures, open interest can play a role too.
  • Interest rates, since rate changes can indicate shifts in stock or commodity markets.
  • Volatility, measured in various ways, where extreme levels can trigger market changes.
  • Cycles, as markets ebb and flow over time, like the seasonal stock cycle that might show if a strategy is in a strong or weak period.
  • Sentiment extremes, used contrarian-style, where too much bullishness suggests tops and excessive bearishness points to bottoms.
  • Valuation, where overly high valuations relative to market or sector norms can generate sell signals.

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