Can technical analysis tell you when to enter a trade?
It can tell you what price has already done, in a form that is easier to read than a list of numbers. Whether that predicts what price does next is a separate question with a long and mixed research record. The indicator table below sets out what each tool actually measures and, more usefully, what it cannot tell you.
Key Takeaways
- Every standard indicator is calculated from price and volume. None of them adds information the chart does not already contain; they reorganize it.
- The academic record is genuinely mixed. Of 92 modern studies reviewed by Park and Irwin, 58 found positive results, 24 found negative results and 10 were mixed, with the authors cautioning that most suffered from data snooping and weak treatment of transaction costs.
- Documented edges decay. Risk-adjusted returns from moving average rules on an 18-currency portfolio fell from over 3% in the late 1970s to roughly zero by the late 1990s.
- Round numbers and obvious levels are where everyone else is looking, which is exactly why price frequently trades through them before continuing.
- The Entry.fi Terminal runs TradingView charting with an indicator library, drawing tools and one, two or four chart layouts.
In This Article
- What a chart actually shows
- What each indicator measures, and what it doesn't
- The multi-timeframe check
- What the evidence actually says
- Reading charts on the Entry.fi Terminal
- FAQ
What a chart actually shows
A candlestick chart contains four numbers per period and nothing else: the open, the high, the low and the close. Volume adds a fifth. That is the entire raw dataset.
This matters because of what follows from it. Every indicator you can add (moving averages, RSI, MACD, Bollinger Bands) is a transformation of those same numbers. A moving average is the mean of past closes. RSI compares the size of recent up-closes to recent down-closes. None of them observes anything the chart did not already contain. They make patterns easier to see, which is a real benefit, but they are not independent evidence.
Traders who miss this end up stacking six indicators on one chart and treating agreement between them as confirmation. It isn't. Six functions of the same input agreeing tells you they are functions of the same input. If price has been rising, the moving average slopes up, RSI is elevated and MACD is positive — all three are saying "price has been rising" in different notation.
What each indicator measures, and what it doesn't
The second column is the one worth reading carefully, because the gap between what a tool measures and what traders believe it predicts is where most misreadings live.
That last row deserves expanding, because it cuts against intuition. A level everyone can see is not a stronger level. It is a place where a large number of stop orders sit just beyond, which is precisely what makes it attractive for price to reach through before reversing. The visibility that makes a level look reliable is the same visibility that makes it a target.
The multi-timeframe check
If there is one habit in technical reading that survives scrutiny better than most, it is checking the same market at more than one interval before concluding anything.
The reason is straightforward: a move that looks decisive on a 5-minute chart can be an unremarkable wobble inside a daily range; a level that looks significant on the hourly may not appear at all on the daily. Neither view is more correct; they are answering different questions. The 5-minute chart answers "what is happening now," the daily answers "what has been happening," and a reading that only consults one is answering a question you may not have asked.
The practical version: look at the higher interval first to establish context, then drop to the working interval for detail. Doing it the other way round tends to produce a conclusion from the short chart that the long chart then has to be argued into supporting.
What the evidence actually says
This is the part most guides skip entirely, and skipping it is how people end up with more confidence than the tools support.
Technical analysis has been tested extensively. Park and Irwin's review for the University of Illinois surveyed 92 modern studies published between 1988 and 2004: 58 reported positive results for technical trading strategies, 24 reported negative results, and 10 were mixed. On the face of it that looks encouraging.
The caveat in the same review is the important part. The authors note that most of these studies are subject to problems including data snooping, ex post selection of trading rules, and difficulty estimating risk and transaction costs. Data snooping is the central one: test enough rules against enough history and some will look profitable by chance alone, and the published record skews toward the ones that did.
Then there is decay. Risk-adjusted profits from moving average crossover rules across an 18-currency portfolio declined from over 3% between the late 1970s and early 1980s to about zero percent by the late 1990s. The same review notes work finding that by the 1976–1991 period, the break-even transaction cost for a well-known set of rules on the Dow had fallen to roughly the level of actual trading costs, meaning the apparent edge no longer survived the cost of trading it.
None of this makes charts useless. It makes them a way of organizing information rather than a forecasting engine, and it argues strongly for treating any rule that looks reliable in backtest with suspicion. The honest position is that reading a chart well improves your description of the present, and that predicting the future from it is much harder than the tools' simplicity suggests.
Reading charts on the Entry.fi Terminal
Charting on the Terminal runs on TradingView technology, with the standard interval row, an Indicators menu, and a drawing toolbar down the left side for trendlines, levels and annotations.
The layout selector offers one, two or four chart panes, which is what makes the multi-timeframe check practical: the same market at two intervals side by side rather than switched between. Panes are independent, each with its own market, interval and indicators, so matching settings when comparing is a manual step rather than an automatic one.
One thing visible on the chart that is not on a traditional equities chart: the market header shows mark price and oracle price as separate figures. For a perpetual position, the mark price is the one that governs liquidation, so it is worth knowing which number the chart is drawing and which one the risk engine is reading.
Entry.fi is the interface. It does not act as an exchange, a broker, a counterparty, or a custodian, and orders route to independent onchain venues rather than to any order book Entry.fi operates. Nothing in this article is trading advice, and perpetual markets track the price or valuation of the underlying asset without conferring ownership of it.
FAQ
Does technical analysis actually work?
The research is mixed and heavily caveated. A majority of studies in the largest published survey found positive results, while the same survey flagged data snooping and transaction cost problems across most of them, and documented edges decaying as more participants used them.
How many indicators should I use?
Fewer than most charts carry. Since every indicator is derived from price and volume, adding more does not add information, and agreement between them is not independent confirmation.
What does "oversold" actually mean?
That an oscillator reading has fallen below a conventional threshold, typically 30 on RSI. It is a description of recent price behavior relative to a window, not a prediction. Markets can remain at extreme readings for extended periods.
Which timeframe should I use?
More than one. The conventional approach reads a higher interval for context and a shorter one for detail, because the same price action carries different meaning at different resolutions.
Why does price so often break my support level and then reverse?
Because the level was visible to everyone, and stop orders cluster just beyond visible levels. That pool of resting orders is itself a reason for price to reach through before turning.
Do chart patterns work the same way in crypto as in other markets?
The mechanics of drawing them are identical. The research base is much thinner and shorter, and crypto markets trade continuously while most of the studied markets did not, so results from decades of equity and FX testing do not transfer automatically.
A chart is a record of what happened. Everything else you read into it is a hypothesis, and it should be held like one.
Open the Entry.fi Terminal and look at a market across two intervals at once.