Defining and Identifying Trends Across Chart Time Frames
Summary
The document explores how to define an index trend and why simple indicator crossings can give misleading signals. It contrasts a basic comparison of current and reference closes with stochastic %K/%D and MACD line/signal relationships, noting that a short reversal may not mark a lasting change. Responses suggest Bollinger Bands, MACD, VWAP, moving-average crosses, and point-and-figure charts, while emphasizing that trend identification is uncertain and often lagging.
One response proposes reviewing higher and lower chart intervals together, alongside related markets, economic releases, exchange rates, and news. It offers informal indicator rules and a discretionary decision protocol, but gives no tested performance evidence or validated threshold. A second response stresses the need for a statistical definition of trend and raises point-and-figure analysis or machine learning as possibilities, while expressing skepticism about the latter. The discussion is opinion-based and focused partly on Hang Seng futures; it does not establish a reliable method for trend detection or multi-time-frame turning points.
Key ideas
- A trend needs a clear definition; a simple price comparison or indicator crossover may be too sensitive.
- MACD, Bollinger Bands, VWAP, moving averages, and point-and-figure charts are discussed as possible tools.
- Using multiple time frames may help frame a trend, but the document does not validate this approach.
- Market events and related economic information can disrupt indicator-based interpretations.
- The suggested rules are discretionary opinions without systematic performance evidence.
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Full text
# Detect trend of an index # Detect trend of an index My question is about determining the trend and it can break down to 3 parts. To clarify, a trend in my point of view, and in simple form, is the last close at time t relative to its time reference, i.e t0, so that close at t - close at t0 > 0, then it is RISING trend, or else falling. But the above mentioned method is too simple, so i am looking for others method. I know in normal case, when stochastic %K is above %D, the trend is rising. However if i simply use %k above %d, when the %k fall below %d, the fall trend may be just began, or sometimes the index fall for just a bit, and will kill rising later. So using %k above %d will be too sensitive, and didnt leave room to confirm the real trend. As a result, we found out the MACD indicator have some use here since it is lagging. Normally when the MACD line is above the signal line, it is a rising trend. > So my first part of question is a general one: suggest a good trend indicator / method, by any time frame / time reference t Looking at the image below, side by side with 1-min data and 5-mins data, but look at where blue arrows, it seems using MACD line above / below may not be consistent. My second part of the questions: How to avoid this mis-leading case? And why this happened? My third part of the questions: Does it work out if you determine a trend from 5-min time frame data and determine turnning point from 1-min time frame data, basically mixing use of different time-frames data. ## Answer by Emma Marcier (score 3) https://quant.stackexchange.com/a/45160 #### Questions: > 1=> Does anyone have a suggestion to determine a trend correctly. My answer is in general and an opinion. Hong Kong Stock Exchange is third largest market behind Tokyo and Shanghai and most volatile market in the world. It is related to Singapore, Shanghai and Shenzhen, Korea, Taiwan and other famous Asian markets. For rough overall trends, one might look into daily charts, as you can see in below. You can see that now it is in upward, since you can see that the green candles are intersecting with the upper line of the BBs. BBs, MACD and VWAP are three good and reasonable indicators to look into for future trends, of-course depends on which time-frames one might be looking at (`1-min`, `5-min`, `15-min`, `1-hour`, ..., daily). #### Daily Chart Futures are positive based on this chart, due to many instances of intersecting green candles and upper BBs. There are much more technicals such as MACD and VWAP to discuss, but I just wanted to give a perspective of being rather difficult to determine a trend correctly. > 2=> Does it work out if you determine a trend from 5-min time frame data and determine turning point from 1-min time frame data, basically mixing use of different time-frames data. For your second question, it is also difficult to answer, but your key point is valid, you usually look into a combination of time-frames to estimate the trend of another future time-frame. About does it work, maybe or probably not, since several macroeconomic parameters might unexpectedly or relatively unexpectedly hit a market, especially Hang Seng Futures, because HKE is a relatively large market relative to Hong Kong economy, as it is of-course one of the key cornerstones/financial centers of Asian markets. #### Edit: - I'm not specialized on minutes charts. - Since market futures are related to macro-economics, are much difficult to estimate a trend, even for minutes, almost impossible to be correct for the full trend. You might only find part of the trend based on specific indicators and probabilities, only based on hands on experience. - I see your MACD/MACD signals, it is a good indicator to scan, as you can see, they are one of my indicators too in my charts. - No machine learning, no algorithms, no other fancy methods are recommended for this task, and nothing that creates distractions. [Dis: This is not an investing/trading advice.] ## Have A Protocol and Optimize Your Protocol The protocol we like to follow: #### Before Chart - If not you, you then might need a sharp focused rational trader to do this future market estimation, maybe with 2-3 other trading/investing assistants to prepare materials, yet making final decisions single-handedly. (Check if the key trader is ready today. Not, no decisions, only watching.) - Look into a few key markets that are closed before Honk Kong, of-course U.S. is the first to look (U.K., Germany, etc.). Also listed neighbor markets (Japan, Singapore, Shanghai, Shenzhen, Korea, Taiwan, etc.) Look into US daily economic factors such as OBFRVOL, T10Y2Y, DGS10, FFR, also LIBOR of UK - Look into similar Hong Kong economic numbers (e.g., HIBOR, daily numbers, commodities, etc.), make sure look into monthly unemployment and other factors on a timely basis. - Check relevant exchange rates. - News related to Hong Kong markets, then news related to Hong Kong Futures (similar to Dow Futures, etc.) #### Open Chart - Pick a key indicator, maybe BBs, and 2-3 other supplementary indicators MACD, VWAP, EMAC20 crossing MA50, etc. - If you wish, weight them simple (Ax1+Bx2+Cx3), maybe linearly, and maybe in your mind. If necessary, maybe write a simple linear macro on your chart. - On a daily basis, open charts and walk from daily to minutely charts using a set of indicators. - Watch your indicators, and you will start seeing patterns, make some generalized rules, and maybe remember this rule before all other rules that: - All your rules is to break one day You might need to be prepared for this rule. #### Estimate Trend - Look into the key indicator, maybe this: When green candles reaches upper BBs, after a minimum of three touches, the probability of breaking down passes 50% and vice versa When red candles reaches lower BBs, after a minimum of three touches, the probability of moving up becomes +50% - Then, look into other indicators, and they have to do the same green passes, you can see that the rule is not definite. - Define to see how you might estimate a trend (Sorry! can't help you here!) #### Decision making - Only that key expert (trader) makes decision, when ready, with no doubt. Doubt = NO DECISION, ONLY WATCHING > In sum, both your questions include uncertainty , it is up to you, and answers to them are just based on probabilities and hands on experience on Hang Seng Futures. ## Answer by Jacques Joubert (score 1) https://quant.stackexchange.com/a/45157 I think part of the problem may be a lack of a formal definition for what constitutes the trend. At least it lacks a definition of some kind of statistical property. (I was thinking autocorrelation but then realised that a random walk could also look as if it were trending) I am not convinced that the MACD indicator is the best way to do this. I would investigate point and figure plots. This may solve this problem: "so that even when the index just turned, it is still part of the original trend". Part of this problem may be that it is almost by nature going to be a lagging indicator since one can only say that the trend continued after the fact. A far reaching idea is to train a machine learning model, perhaps a recurrent neural network, to identify when a trend has officially broken. Not a forecast though, just a indicator. (Although I am sceptical to this approach, how long would your sequences be? Do we use a many-to-many or a many-to-one architecture?)
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