Multi Timeframe Trending State DetectionThis script shows the "trending" state of a symbol at a certain moment in time on a certain set of timeframes. A trending symbol is a symbol that is moving out of a current balanced state to search for a new accepted price level. The detection of the state is done by looking at the place where the current price is related to 2 bollinger bands.
Depending on the place where the price is, the symbol is ...
a) ... not trending. It is chopping around. (Color Gray)
b) ... trending. The trend shows a certain strength. (Color Green for uptrend, Color Red for downtrend)
c) ... trending and arriving at (a temporary) peak and can possibly revert. Good for profit taking, or entering counter-trend. (Color Yellow for uptrend, Color Orange for downtrend)
By moving over the current main chart, you can see in the data window at the right, what was the state on a certain date for all timeframes together. All states are color-coded. By checking the bubble help in input, a textual explanation of the actual colored states (1 per timeframe) is displayed on top of the history and is updated at every change. To read well the bubble help, the control has to be set on full-screen temporarily.
The script is dynamic in 2 dimensions.
a) When you select a certain timeframe, all lower timeframes will not be displayed. Only the higher supported timeframes are included.
b) In input, you can specifiy a subset of timeframes you want to follow by checking or unchecking the appropriate timeframes.
The combination of the 2 selections gives you the ultimate list of timeframes shown.
You can infuence the detection by selecting in input another set of bollinger bands, characterized by the number of standard deviations and the length of the mean needed for the calculation of the bollinger bands .
How to read the indictor ?
A horizontal line gives you the history of the "trending state" on 1 timeframe over all bars accessible.
A vertical column gives you the "trending state" on all timeframes at a certain bar.
The last vertical column gives you the most recent "trending state" on all timeframes.
Timeframe
Autonomous LSTM Stop-LossStructure
Autonomous LSTM Stop-Loss is a stop-loss technique that uses the Autonomous LSTM algorithm.
For detailed info about Autonomous LSTM :
*** Features
This structure is different from standard stop-losses.
The base frame is based on "Market Adaptive Stop-Loss" script.
For detailed information about Market Adaptive Stop-Loss:
This script uses the Autonomous LSTM as cross method.
Tradeable / Non Tradeable Region Detector :
This script separates tradeable and non-tradeable regions with a coloring method.
Plotting Rules :
* Maroon : Uncorfirmed Short Positions
* Teal : Unconfirmed Long Positions
* Green : Confirmed Long Positions
* Red : Confirmed Short Positions
This script can be used in all time frames.
Does not repaint. ( Source = close )
*** Settings :
The only option here is the ATR multiplier.
The default use value of this ATR multiplier, which is of the standard of stop-loss, is 2.You can set it from the menu.
No alert is set.
Because the positive and negative regions are the same as Autonomous LSTM.
Since the traders can trade according to the support and resistance outside the definite regions, the unnecessary signal was confused and the alerts were removed.
*** Usage
The Stop-Loss indicator can slide on the chart.
So you have to make sure you put it in place.
Since this is a region scan from the OHLC levels, indicator contains small blue dots to the ohlc levels and made it serve as a guide.
However, since we cannot know the OHLC values precisely, it is best to use them as follows:
Because it is often forgotten to put it in place:
(OHLC : Average of Open, High, Low, and Closing prices for each period)
Using this script in a new pane below will radically solve slip problems.
Stop-Loss values do not slip definitely.The values are selected from the alignment.
NOTE :
Some structures (Market Adaptive Stop-Loss) and design in this script are inspired by everget's Chandelier Exit script :
Best regards.
Autonomous LSTM [Noldo] Structure
Feature Layer 1 : Formulation :
The Autonomous LSTM adaptive period equation is a multivariate equation created by averaging a table based on market weights and optimizing it for each time period, by specially Artificial Neural Networks (ANN) training and taking note of the instruments chosen from Foreign exchange instruments, Stock markets , Futures and Commodities , Interest Rates and Yields all over the Global Markets.
Market weights and liquidities were taken into consideration and included in the calculations.
Feature Layer 2: Forecast Algorithm :
When we apply only the first item, we only get the buy and sell signals in reverse.
In other words, since we measure the expectation, the positive signal informs the bear market and the negative scenario informs the bull market.
If we only act according to the expectations market, our system will be very sensitive.
When we associate this with real prices, both our accuracy increases and the reverse market returns to the normal market.
In other words, as in the indicators with standard average, the upward crosses are buy and the downward crosses are sell signal.
Examples:
a -) The normal deep learning script (ANN), which is only created according to expectations:
Unlike standard market, it gives reverse signals.
Original script :
b-) Script with Forecast Algorithm but it only uses valid and standard periods for certain instruments :
Original script :
Feature Layer 3 : Composite of Two Layers : Adaptive Period (Length) Algorithm
This layer is the most important layer.
Outputs the period.
It adjusts itself to market conditions and provides a more agile trading environment under all circumstances.
Display of smart period function and standard period :
Where the market is stagnant, the period increases automatically and reduces unnecessary trade, while in trendy markets the period decreases automatically and allows to see positions first.
The degree of stagnation of the instrument concerned is not calculated solely by volatility.
We may perceive this in relation to several factors, but yes volatility is one of these factors.
When we put the script system under the MACD (Moving Average Convergence Divergence) roof, I did the tests.
Where both averages were positive, they could report accurate harsh trend news, or vice versa.
But I decided to give it up and put it on the Stochastic Money Flow Index .
First of all , Stochastic Money Flow Index function takes the volume into account.
The reason for this is a very important factor, which is naturally contained in the structure of High - Low conditions related codes.
And by using this factor, it could be superfast adaptive in both stagnant and trendy markets.
Feature Layer 4 : High - Low Selection Algorithm
The High-Low Selection Algorithm does not depend on a specific period but scans all periods backwards.(Lookback Function - Lkb )
Outputs the lowest or highest values in the specified new period.
This algorithm was written by me with the concern that if everyone trades according to the same threshold values, it will cause problems and choosing between values of the whole period length will slow down the signals.
This algorithm consists of two functions.
a - Lkb (Lookback Function) :
The lookback function scans back all periods from 0 to Smart Period bars at the same time.
In order to show the effect of the function, it was done between 0 and 84 bars.
However, the scan period of the function is normally at the same time: 0 to adaptive period time.
If the adaptive period includes a fractional day, it can also scan it.
There is no need to be an integer.
All functions are written to make mutable variables appropriate.
And what this function will scan depends on the second feature.
The special selection algorithm is in this function.And the output is given in this function.
b-) High - Low Selection Algorithm
Outputs the lowest or highest values in the specified new period.
This function allows you to select the most advantageous low or high values, even though the adaptive period remains the same.
And the signals are even more accurate.
This is a comparison of the High-Low selection algorithm and the Function: Stochastic Money Flow Index in the standard period.
For the codes of the Stochastic Money Flow Index function:
Speed may not be clear here.
So let's take a look at on chart.
So I would like to show a comparison values of the standard and special selection algorithms on Standard Highest - Lowest Function (All effort goes to RicardoSantos)
Note: This function is the standard function and freed from integer loads.
Blue = Function Highest - Lowest (length = 10 )
Yellow = Smart High-Low Selection Algorithm (length = 10 )
You can better observe the different results in the same period on the chart.
***
4 layers are interdependent.
And when the inter-layer operations are completed, output is given.
*** - Usage of Autonomous LSTM
Plot Rules
Blue Zones = Crossover condition where the average of long and short lines is less than 50.
Orange Zones = Crossunder condition where long and short lines averages more than 50.
Green Zones = Crossover condition where the average of long and short lines is greater than 50.
Red Zones = Crossunder condition where long and short lines averages less than 50.
*** Autonomous LSTM Settings :
It is just the barcolor to be colored according to the crossover and crossunder conditions or not (I / 0) option.
*** Autonomous LSTM Alerts :
As an alert, it only reports crossover and crossunder status as "Long Signal" and "Short Signal" as a warning after the first bar closure.
*** CONCLUSION :
Autonomous LSTM Designed to be used in any time frame.
Does not repaint in any time frame.
Script is independent of constant coefficients.No period adjustment is necessary.
Each layer transfers the information in its own layer to the next layer and the results are reflected in the Stochastic Money Flow Index function built on the resultant.
Regards.
[BA] Multi Time Frame Moving Averages for BTCThis is a multi time frame moving average script. It includes 7 moving averages. Most of them are SMAs and WMAs but EMA were also used. Time frame was set to 1 day. It means that you can change the time frame of your chart freely without losing your lines. Levels will not change.
I wrote this script just to trade BTC. I prefer daily and weekly charts with this script but lower time frames are also preferable.
Since some of the lengths are too high; older exchanges are recommended due to their relatively deep historical data.
While MA1 is for taking actions like 'take profit' or 'stop loss' or just to follow 'price action' easily, other MAs are for seeing supports and resistances.
MA6 and MA7 are disabled by default in order to minimize the confusion but you can enable them from settings if you need to.
Since some newer exchanges have less historical data, you may not see MA4 and MA5 on the daily chart. In such circumstances MA6 and MA7 might be helpful to use as substitution. Some may like to use all of them.
I am using this script just for BTC but it can be useful for other coins as well.
Multi Timeframe Moving AveragesThis indicator allows you to view a moving average (EMA or SMA) of your choosing on other time frames than what you are currently on.
The reason I wanted to develop this was for use as a filter. Let's say you wanted to make sure the daily time frame was trading above a certain moving average so you could be sure you were playing with the trend. But you wanted to make your entries and exits on a smaller time frame. This Multi-Timeframe Moving Average indicator can then be used to keep an eye on that daily moving average while looking at the shorter term time frames on the same chart.
Adedeji_Oracle_v1.0This indicator was designed to give an easy overview of trends based on Multiple Time-frame Analysis.
It gives a holistic overview of several time-frames all at the same time regardless of the TF being viewed. It works for majority of the most commonly used time-frames (15m, 30m, 45m, 1H, 2H, 3H, 4H, 6H, 12H, 18H, 1D, 2D, 3D and 1W).
Tool is best used in conjunction with my other scripts:
1. Cynotronic Divergence tool () or any other reliable momentum indicator
2. Adedeji_Edge_v1.1
How to use:
Simply add the indicator to your chart, keep an eye on the color flips of the various layers from top to bottom sequence (from red to blue, or blue to red).
1. Fully engulfed layers colored in blue indicate bullish trend is underway at the chosen time-frame.
2. If the prevailing color is red this is indicative that the overall trend is a bearish one.
3. When there is a mix of red and blue, the dominant trend is determined by the color that dominates the lowest levels of the indicator.
It's advised to keep a keen eye on demand and supply zones (draw relevant Support, Resistance as well as dynamic trendl-lines on the charts) as targets and take profit zones. The suggested complimentary divergence tool gives reliable indication of areas where there is strength or weakness.
This tool works pretty well with all trading pairs, all exchanges and in all markets.
Development/improvement is a continuous thing!
Disclaimer:
Past performance does not guarantee future results. This tool/indicator is for educational purposes. As always you should fully understand there are high risks involved when trading cryptocurrencies and other digital instruments.
Adedeji_Edge_v1.0This tool was developed to capture good entries for long and short positions. It utilizes moving averages to find best times to executive trades (long or short) and it overlays same on the chart thus minimizing chart noise i.e. no need for indicators. New traders can use this without any hassle or confusion.
In addition to the long (buy or strong buy) and short (sell or strong sell) overlays, the tool also indicates, with the background colour, areas and periods of potential upside or downside movements.
1. Blue background shows areas most conducive for potentially sustained upside price action;
2. Red background shows areas most conducive for potentially sustained downside price action.
Back-testing:
Results show that the indicator is more profitable than “Buy and Hold” (aka hodl). The back-test period was from the beginning of BTC bear market (17th December 2017) to date (10th Nov. 2019). 10% equity on $1,000 was applied to all back-test trades. Using 100% equity gives even better results.
Control conditions:
- Start date: 17th Dec 2016 (BTC ATH)
- Buy and Hold ROE: about 51% loss
Strategy script condition 1:
- Start date: Same as control date
- TF 4H
- Initial Capital $1,000
- Order size: 10% of equity
- ROE: approx. 131%
Strategy script condition 2:
- Start date: Same as control date
- TF 4H
- Initial Capital $1,000
- Order size 100% of equity
- ROE: approx. 67,000%
How to use:
Simply add the indicator to your chart, WAIT FOR CANDLE with the signal (buy or sell) to CLOSE before you go long or short .
Please note that this version 1.0 is suitable for ONLY 4H and 6H timeframes. Subsequent version(s) will include more TFs.
This tool can be used in isolation, however using it in conjunction with
1. A Moving Average (preferably the 32 EMA) gives users more information about ongoing price-action.
2. Applying trendlines (horizontal and/or dynamic support and resistance) give users better overview of the space and where sudden price bursts or reversals may occur.
Possible scenarios:
a. Buy signals (buy or strong buy) above the EMA is very bullish;
b. Sell signals (sell or strong sell) below the EMA is extremely bearish.
Variant conditions that do not confirm to the above two conditions may occur.
This tool was developed SPECIFICALLY for XBTUSD pair on Bitmex. It may be used for other trading pairs and exchanges although primary back-testing was not extended to other pairs or exchanges.
Development/improvement is a continuous thing!
Disclaimer:
Past performance does not guarantee future results. This tool/indicator is for educational purposes. As always you should fully understand there are high risks involved when trading cryptocurrencies and other digital instruments.
Multiple Time Frame: RSI - Stochastic - Stochastic RSIDeveloped per request.
An RSI, Stochastic, and Stochastic RSI oscillator all in one.
Use the drop down selection to choose which of the 3 indicators to view. Each indicator has the option to show 3 time frames. Time frames are entered in minutes, for example, to view the 1 hour, 4 hour, and 6 hour, enter 60, 240, and 360 in the respective option windows. Currently, the indicator has the Daily as a max resolution (1440 minutes). This might be changed in a future update.
The oscillator has been centered, as opposed to the normal 0-100. There are overbought and oversold boundaries defaulted at 40 and -40, respectively. When any of the 3 main indicators cross one of these boundaries, either a green or red signal is displayed. This can be turned off in the options.
A "Total Line" and "Average Line" can be toggled on/off in the options. The "Total Line" is a simple summation of each of 3 main indicator lines. The "Average Line" is the average of the 3 main indicator lines. If you wish to only view one or both of these lines, the main 3 indicator lines can be turned off in the "Style" section of the options. The "Average" and "Total" lines do not highlight if they cross the upper and lower boundaries.
Stochastic RSI 3in1 & Volatility peaks + ADX by AGUDescription:
3 Lines are Stochastic RSI's, strongest move is when all crosses and moves to one direction (from top or bottom).
Orange is original Stochastic of the timeline. (Live movement of price).
Green is original Stoch x 6. (Short term movement).
Red is original Stoch x27 (Long term price movement).
Transparent columns are ADX signal.
Higher the mountain, stronger the signal. When the mountain tops, trend usually change.
And finally the volatility peaks. Green peak HIGHEST volatility , RED peak LOWEST volatility .
I use it on 1 min BTC chart. But it works on all.
TIPS >> 3HCQ41cRpxcq2MJdRUSYoq9N1RnEy98xD2
Baseline - evoPlots the high and low of your chosen moving average.
Options are:
SMA = Simple Moving Average
EMA = Exponential Moving Average
WMA = Weighted Moving Average
HMA = Hull Moving Average
VWMA = Volume Weighted Moving Average
RMA = Exponetial Weighted Moving Average
ALMA = Arnaud Legoux Moving Average
Unbox "Use Current Timeframe" to use chosen timeframe below
I mainly use this to get in and out of the market for futures trading, to reduce fake outs of having just one moving average line.
Let me know if you like it..
Inspired from LazyBear's EMAenvelope :)
Flunki Quad VWAP Plots & ClosesHerewith a further multi-timeframe Volume Weighted Average Price indicator
This has 4 Timesframes (5 including the default pine VWAP)
So, 4 Multi timeframe VWAP line plots, PLUS (and here's the interesting bit) 4 previous CLOSE values of the 4 timeframes.
Play with the options, the above uses a fat VWAP line and horizontal levels.
Enjoy
Chart Timeframe Detection - FunctionChart Timeframe Detection - Function
A small and effective function to detect the current chart timeframe in minutes.
It can be used to further detect a specific chart timeframe (a daily timeframe or even a 16h39m timeframe).
The result is returned as integer.
Algorithm Builder - Single Trend+ (MTF)Hello traders
I. SCRIPTS ACCESS AND TRIALS
1. For the trial request access, they have to be done through my website .
2. My website URL is in this script signature at the very bottom (you'll have to scroll down a bit and going past the long description) and in my profile status available here : Daveatt
Due to the new scripts publishing house rules, I won't mention the URL here directly. As I value my partnership with TradingView very much, I prefer showing you the way for finding them :)
3. You may also contact me directly for more information
II. Algorithm Builder - Single Trend+ (MTF)
2.1 Concept
MTF means Multi Timeframes - we all agree that saying MTF is nicer and easier than multi-timeframe.
That script is an upgrade of the Single Trend:
The Algorithm Builder - Single Trend+ (Multiple Timeframes/MTF) is made to detect the convergence of many unrelated indicators, and give a BUY or SELL signal whenever all the selected sub-indicators - each may be using a different timeframe - are converging in the same direction.
Now sit tight because what's going to be announced will be awesome. Are you ready for it?... :)
The MTF version allows to detect the convergence for indicators in different timeframes. Each indicator has its own timeframe - expanding, even more, your trading analysis capabilities.
In other words, you could, for instance, detects the convergence of an H1 MACD with an H2 Supertrend, and why not also adding an m30 Moving Averages cross in the mix.
The Single Trend+ MTF gives one single entry per identified trend - unlike the Multiple Trends editions (also available on my scripts page) which may give more than 1 entry per trend.
The traders select the sub-indicators they want, and see in real-time the BUY and SELL triangles being updated.
2.2 Why the Algorithm Builder Single Trend may help you
I worked with many traders during my career, and their feedback about trading is often pretty similar.
They all tried a lot of complicated indicators, losing their capital, and finally getting back to the basics (even to the basic indicators if I might say)
The art is finding a good combination of indicators and setting strict money/risk management rules.
Easy in concept, but more than 90+% of traders lose money on the markets... which teach us that trading is not only about drawing trendlines, or using cool indicators but finding ways to ease our psychology while trading.
2.3 The Algorithm Builder trading framework
The sub-indicators (full list on our website) weren't chosen randomly. They're based on a trading method we've developed over the last 6 years - while working with traders and other trading quants.
The Algo Builders are made to detect a convergence - and as such, will give a signal once a trend has been identified.
They're not made to detect reversal but have been designed to give a signal when all sub-indicators are either ALL bullish (green) or ALL bearish (red).
We provide a framework based on indicators we selected because they:
1. make sense to be used altogether
2. work on asset classes like INDEX, CRYPTO, STOCK OPTIONS, FOREX, COMMODITIES
3. it may expand your knowledge about what detecting a convergence with pre-selected indicator really means
2.3.1 Supports and Resistances
The indicator displays the main algorithmic supports and resistances according to our trading method.
I think they're relevant for all asset classes, but you're absolutely free to use any different supports/resistances logic if you want to.
I'm not against it because I know that pivots, Fibonacci levels, etc. may work very well also.
2.3.2 Choose your favorite risk management algorithm
1/ Pre-defined Algo S/R method using:
- a supertrend of the stop-loss
- the nearest algorithmic resistances for the take profit levels.
2/ Define your own Stop-loss and Take-profits level in real-time
Stop-Loss Management
For what's following, let's assume that 2 is the stop-loss value you inserted in the indicator, and the Algorithm Builder gives a BUY signal.
This is NOT a recommendation at all, only an example to explain how this feature works.
- %Trailing: The Stop-Loss starts 2% away from the entry price - and will move up (because we're on a BUY trade as per our example) every time your trade will gain 2% profit
- Percentage: The Stop-Loss stays static 2% away from the entry price. There is no trailing here
- TP Trailing: This is a very awesome feature. The stop-loss is set 2% away when the trades start.
When the TP1 is hit, the stop-loss will be moved to the Entry price (also called breakeven).
When the TP2 is hit, the SL is moved to the previous TP1 position
- Fixed: Set the Stop-Loss at a fixed position (value should be in currency/units)
Take Profits Management
You can manage up to 2 take profit levels defined as a percentage or price value.
The expected input is in percentage value (for instance, setting the % target of TP1 to 2% will set the TP1 level 2% away from the entry price
2.3.3 Built-in Trade Manager
This is very likely the most loved utility script that we shared on TradingView.
It's included in your Algorithm Builder - Single Trend+, and will certainly help you immensely to analyze your charts and your trades.
We made sure that all the graphical elements on the chart will be updated in real-time whenever our user change anything on the indicator configuration.
You'll also be able to change the Trade Manager labels positions as you wish :)
2.3.4 Built-in Risk-to-Reward Panel
The good stuff doesn't stop here.
You'll notice that this sometimes green (when in a LONG), sometimes red (when in a SHORT) panel at the right of your chart.
It displays for the selected trading algorithmic (see 2.3.2 above), a ton of useful real-time analytics.
- Entry Price: the price when the Algorithm Builder will give a signal.
- The Trade PnL in percentage.
- Entry Stop Loss: Distance (in currency/units) between the selected stop-loss algorithm (percent, trailing, TP trailing, etc.) and the entry price.
- Entry TP1: Distance (in currency/units) between the entry price and the first take profit
- Entry TP2: Distance (in currency/units) between the entry price and the second take profit
- Risk/Reward TP1: Using the Stop-loss distance at entry, and Take Profit 1 at entry to compute the risk-to-reward ratio.
- Risk/Reward TP2: Using the Stop-loss distance at entry, and Take Profit 2 at entry to compute the risk-to-reward ratio.
For more details, please check the guides section of my website. Links are in my signature and profile status.
2.3.5 Hard Exits
Our trading method is known for the hard exits, also called invalidation.
The Single Trend+ includes a hard exit based on a MACD - settings are flexible and you may update them.
Having a stop-loss protecting your trade is a best practice - Protecting your stop-loss also from getting hit is incredible.
We prefer invalidate a few positions, even if sometimes we don't want to. Rather than the market hard exiting on us, and leaving with our hard-working money.
2.3.6 Alerts
Alerts are enabled for:
- BUY/SELL triangles signals
- Trade Manager (SL, TP1, TP2)
- Hard Exits
III. Pain points that we're trying to solve with our Algorithm Builders
Issue #1 There are many informations / indicators / strategies / backtests / noise. Finding the right ones is not a simple task.
Solution #1 A reliable system that removes the external noise is much needed in trading to stay "in the game".
Issue #2 Trading could be quite stressful - The majority doesn't lose in trading because technical analysis is hard, but because managing our psychology is one of the hardest things a human can do.
Solution #2 Some ways to reduce the "trading stress" could be: getting better quality signals and trading like a "machine". Forgetting about Twitter and trusting the system you designed.
Issue #3 Trading without strict rules and only based on what we feel, or what we think the market should do is the fastest way to kiss our money goodbye.
Only 1 indicator generally is not enough. Traders generally use a combination of several indicators but they're monitoring them individually.
It's normal then to feel exhausted at the end of the day ^^ (to say the least)... and exhaustion leads to mistakes which leads to..... (I'm sure you got it) ... capital loss.
Solution #3 As a trader, I needed a trading framework and a method. I offer our trading method but they're plenty others out there. We cannot claim obviously it's the best ever ....but let's say we're using those exact same
scripts ourselves for our trading. And this what we've been recommending our clients to trade with for the past years. Also, having a tool detecting the convergence of several indicators and giving 1 unique signal
for BUY/SELL position will save you a lot of time/energy, and perhaps might help you out getting better trading performance.
III. Resolving a complex puzzle and having fun in the process
Trading has to stay a passion and not (only be) a source of intense stress.
The most successful traders I know are "trading geeks" - literally always looking for optimizing, searching for the best possible entries, setups, indicators, tools, etc.
For them, it's not even about the money anymore, but only about beating their previous performance.
Why are they doing this? Because it's fun
Might appears as a bold statement, but I guarantee that looking for setups is fun.
One of our users even told us, that it's like playing with "Legos" and we couldn't possibly agree more.
IV. Designing a system that "makes sense"
Another bold statement now. Brace yourselves ladies and gentlemen
The Algorithm Builders allow to design trading systems quickly. What could takes days/weeks/months to find out... might be now within your reach in less than a few hours.
With a bit of practice, less than an hour might be enough per asset/timeframe to find a system that makes sense to you and adapted to your trading capital and psychology.
Assuming our users read our guides and are fully committed to learning a new way of trading - then we do guarantee you'll be able to design kick-ass trading systems that make sense.
"Making sense" doesn't mean at all it's guaranteed to win, it means you're the one defining the convergence of indicators, using your Algorithm Builder, and observe that most of the time - whenever there is a BUY signal, the candlesticks are going upwards - whenever there is a SELL signal, it's going downwards.
This is a necessary step to make real progress from a trading analyst perspective - and hopefully could lead to profits.
V. Algorithm Builder versus the main trader enemy(=psychology)
This indicator has the goal to help solving one of the MAIN issues encountered by traders.
Most of traders realize, they can't perform with only 1 indicator (or 1 price pattern or 1 price action) and need a combination of multiple indicators before getting in a trade.
Far from being a magic pill, if it could at least reduce the stress you have while trading, then we'll consider we made a great job - it's a technical "useless noise remover", and needs to be followed strictly.
Such trust in a trading system can only be built by testing your Algorithm Builder configuration on either:
1. a demo account
2. or a live account with small bids. And then, increasing progressively the bids if your capital increases progressively.
Though, you should still use your common sense. (for instance: if we get a BUY signal right on a big timeframe resistance we're hitting for the first time).
I'm aware this is a new way of trading but for many, and while we cannot foresee the future, neither predict performance, we believe it might save you a lot of time to find good signals.
My maximum level of happiness will be reached the day when our users will contact me and showing me setups being mine.
I'm sure that even I can learn from my users and, we can all learn from each other Algorithm Builder configuration
VI. What is a wrong or bad configuration?
Simply put. If you see that most of your signals react such as described below:
1. a buy triangle predicts, most of the time an upwards move
2. a sell triangle predicts, most of the time a downwards move
3. you estimated yourself the stop-loss needed to give enough room for your trades.
4. take profits based on algorithmic support and resistances or your own take profit method.
So what's a good Algorithm Builder configuration? A configuration you're happy with and makes sense.
A better Algorithm Builder setup is one used in demo or a live account w/ small bids for a few weeks, and you're consistent in your trading performance.
If you have any doubt or question, please hit me up directly or ask in the comments section of this script.
I'll never claim I have the best trading methodology or the best indicators. You only will be the judge, and I'll appreciate all the questions and feedback you're sending my way.
They help me a ton to develop indicators based on all the requests I received.
Kind regards,
Dave
Binary Options Arrows (example)An example of Binary Option Arrows (BOA) for candlestick patterns bearish and bullish harami.
With results as coloured background and an option to choose your expiration (one candle by default).
It's just an example for those who has their own strategy and wants to make nice arrows in their chart.
All you need to do is rewrite piece of script in lines 9:13 - feel free to ask me for any help.
Disclaimer: It's just an example how to script arrows for binary option trading, Poshtrader is not responsible for any loss of money by using this particular strategy.
Happy Trading
Supertrend Multi Time Frame (No Repaint)This is non repaiting Supertrend Multi Time Frame script.
There is an option for Higher Tİme Frame Period. if you choose "Auto" then Higher Time Frame calculation would be made by script. Or you can choose "User Defined" and then you must choose the period for Higher Time Frame.
You better use this script with some indicators, RSI , Momentum etc.
_ LonesomeTheBlue _
Supertrend Multi Time Frame (No Repaint)This is non repaiting Supertrend Multi Time Frame script.
There is an option for Higher Tİme Frame Period. if you choose "Auto" then Higher Time Frame calculation made by script. Or you can choose "User Defined" and then you must choose the period for Higher Time Frame.
You better use this script with some indicators, RSI, Momentum etc.
If you find my works useful, please consider a donation
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Multi TF - RSIRSI with 5 timeframes, you can change the TF it in the configs.
This one has 1h, 2h, 4h, Daily and Weekly.
Supertrend MTF Pane [Anan]Hello Friends,
This is Supertrend with Multi time frame pane
*Note that your current resolution must be <= the multi time frame pane otherwise the MTF pane will not plotting any data (Logic)
MMDVZ 1.0 - Moving Multi-Day VWAP ZonesVolatility adjusted moving multi-day VWAP zones
Directionality, trend and support/resistance levels at a glance
Useful for trading practically all kinds of stocks and futures.
Works well with many timeframes.
More updates to come, stay tuned
