TOP 100 best indicators: post good indicators here

Quoting rosalieone

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{quote} Not working for me ?

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Quoting beejay

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can anyone please share a weekly fibonnaci indicator with historical lines as well...

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Quoting beejay

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can anyone please share a weekly fibonnaci indicator with historical lines as well...

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Quoting sunny2way

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Quoting michaellobry

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http://stockcharts.com/school/doku.p...e:nf_catapults This pnf indicator I find very useful, because: - it's clear - good pattern recognition - good breakout signals - easy rules to follow This indicator: With well over a dozen P&F patterns, there is often an active pattern or pattern developing on a P&F chart. Identifying these patterns and the confirming breakout form an essential part of the P&F analysis process.

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Quoting michaellobry

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@sunny2way @rosalieone Try downloading it from here maybe? It's a free indicator. https://www.mql5.com/en/market/mt4/indicator?Filter=PnF

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Quoting michaellobry

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{quote} @beejay: here you go. You can see which suits you best. {file} {file} {file} {file} {file} {file} {file} {file} {file} {file}

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1. Multiple Cycles in the Markets
Hurst proposed there are multiple cycles acting on all financial markets. In fact, he proposed there is an infinite number of cycles and that markets are moved under the influence of these cycles. He did not attempt to explain what caused the cycles, but merely that financial markets are moved by them.
2. Harmonic Nominal Model
Hurst studied the price movement of 1,000s of instruments, using newly available computers. He discovered that rather than cycles being a random collection of cycle lengths, there are prominent...

Quoting cowbearcar

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Hurst Market Cycles is good on time measure. http://sentienttrader.com/about-hurst-cycles/ Make use of the following table, You can get new idea on period taken {image}

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Quoting michaellobry

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{quote} Thank you! I attached the Hurst Exponent indicator. So what the hurst cycles are saying is there is a wide cycle, then a short, then a wide, etc.

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Quoting Wanderer272

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{quote} Hi, Hurst Cycles and the Hurst Exponent are not related in any way. The Hurst Exponent essentially measures the overlap between candles for a certain range, where Hurst Cycles are related to price cycles. Just FYI. You seem like a man on a mission. I was there once. Good luck. Regards

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Quoting Pillow

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I used to test 1000 of indicators but ...... As long as I stoped indis, i got 80% win trades. Never trust indi, ( what i learnt) Good luck

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Quoting michaellobry

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{quote} Thank you! I really appreciate your insight. Since I'm new to Hurst trading, could you share any Hurst indicators (or templates)?

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Quoting Pillow

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I used to test 1000 of indicators but ...... As long as I stoped indis, i got 80% win trades. Never trust indi, ( what i learnt) Good luck

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Introduction : ............. (every YouTube trainer in forex tells you that his indicator works. Below I will explain why they CAN work or CANNOT work.)
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----- indicators (oscillators, trend/ranged, volume, MAs)
This CAN work, because:
1. Most indicators are leading/lagging (past). Some indicators (like trendline breakouts, Andrew's pitchfork, ......., ..........., ............) are indicating the future, which has a higher probability. Because: ...............................
2.
3.
This CANNOT work, because:
1. Most indicators take very basic aspects of statistical analysis
2. Fibonnaci and MAs cannot work, because.................
3. most indicators do not use data that are statistically measurable, provide no tradeable info, and is non representative of market generated data/info (candlesticks). If the only data you have available to you is OHLC what you need to do is "un coerce"/reformat the data back into a market generated format. Data that has both a "price" column and a column that marks "time". By breaking the market into it's components/units: TPO's... "price*time events", "time price opportunities", "time that price occurred" , all the same. You now have a data set that is quantifiable & measurable is unbiased by observer TF (objective data). Frequency "Counts" of each time a price is used over time Gives you a single multidimensional distribution/display of prices (Structure).
"Demand" can be read from the frequency of times a price has been used........
By keeping a tally/count how many times a "price" is used at each 30m interval your data now has a "price" column and you have a count of the "times" a price was used in a "time" column. you have then restored your data to it's original market generated Price*time format. Now you have a display of MGD that displays both price and time in which you can now use for analysis. How much of the traders' activity contains "actual demand" created by traders willing to hold their positions overnight? And as volume is not a direct indication of "actual demand", it has little or no value. Demand moves the market, not volume (activity).
4. how many traders know that a MACD is the spread of two moving averages? and that spread has another moving average shadowing the spread? If traders understood that, most likely they would not rely on it as heavily, since moving averages can be an ineffective tool to use on their own.
etc

How should (or shouldn't) you automate an indicator or EA:
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Introduction: .......................... ()
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For example:
- Program in Python instead of mql4. Because:.......
- pull prices from an exchange and calculate your indicator using TA lib or alphavantage. Use pandas date time index dataframe using rolling methods.
- Good practice is first understanding the math behind each before observing behavioural patterns, or if you are good enough, expecting patterns from the math.
- best indicators: MTF, non-repainting, linear regression, filters, vhf, ds, adapting, floating/quantile levels, newest prices/averages....., ..............., .......... because:.........................
- More modern methods would be to use machine learning and data mining techniques to try predict price changes

How do big institutions make profit:
Introduction: they use technical and fundamental analyses. They use quantitive (Quant) trading: mathematical computations and number crunching to identify trading opportunities. This includes HFT, algos, statistical arbitrage and the availability of comprehensive databases. Many quantitative traders are more familiar with quantitative tools, such as moving averages and oscillators. (https://www.investopedia.com/terms/q...ve-trading.asp) Quants use data mining (https://www.investopedia.com/terms/d/datamining.asp) and a Bloomberg terminal (https://www.investopedia.com/terms/b...g_terminal.asp).
Quants have the choice between dedicated backtest software, such as Tradestation, a numerical platform such as Excel or MATLAB or a full custom implementation in a programming language such as Python or C++.
(https://www.quantstart.com/articles/...tative-Trading)
Here is a small list of places to begin looking for Quant strategy ideas:
Social Science Research Network - www.ssrn.com
arXiv Quantitative Finance - arxiv.org/archive/q-fin
Seeking Alpha - www.seekingalpha.com
Elite Trader - www.elitetrader.com
Nuclear Phynance - www.nuclearphynance.com
Quantivity - quantivity.wordpress.com
* which indicators do they use?
* most retail traders are scalpers. Does the same apply for big institutions?
* which methods do they use: neural networks, Kalman filter, fuzzy logic, machine learning and Frequency Distribution (FD)?

Testing:
When is a system robust:
- Optimizing (curve-fitting), Profit factor (PF) and sample size are not so important. Because market conditions can remain in place for indeterminate periods of time. (https://www.forexfactory.com/showthr...7#post10668737)
- Rather look at P/L, drawdown, positive expectancy, Sharpe, REAL averages, positive skew (many smaller losses and few big winners), short holding period, trades frequently and ...... ? And why?
- Test results are also good if the system runs on a great variety of different market conditions. (Of course sample size is a proxy for this as the greater the number, the more chance you encounter a greater variety of different market conditions but it is no guarantee....so using a fixed number like a backtest of 200 trades etc to be representative of a more robust performer is a bit of a misnomer. If your system is a high frequency trader then that sample size can potentially arise in a single market condition. In testing your system under an array of different market conditions.....then the longer the test the better.)
- identify which market conditions perform best
- maximize position rate: for example, max open positions is 10, then make position size: 10% per position.
- how to test if the results are just luck? How to find out if your predictive signals (in your system) don't actually exist?
- System diversification is a great way to manage the correlation between return streams. There are many different ways you can diversify to achieve improved risk-weighted returns including:
a) instrument diversification.....ideally across asset classes whereby you look for uncorrelated instruments that allow you to achieve higher risk-weighted returns than what is achievable with a single instrument (thus, not EUR/USD and GBP/USD. Since these two are correlated it could consider (in testing standpoint) that you are still only trading one currency pair);
b) timeframe diversification which also allows you to deploy uncorrelated return streams to optimise risk-return relationships; and
c) system diversification in which you deliberately construct your return streams to offer uncorrelated relationships. (https://www.forexfactory.com/showthr...3#post10667433)