Mark MinerviniHi everyone,
Just sharing a script that I made when I began to be interested in Mark Minervini, Wiliam O'Neil, Nicolas Darvas,.. trading style.
This script displays :
- 10 EMA (orange)
- 20 EMA (blue light)
- 50 SMA (blue)
-150 SMA (green)
-200 SMA (red)
- Shows when the stock is "extended" from EMA10 to high of the candle (Works in Daily, you can adjust the % to make it match with the stock's volatility)
(Shows a red area between price and 10 EMA)
- Shows when Mark Minervini's trend template is respected by highlighting green between 150 & 200 SMA.
I Although added bollinger bands and 5 EMA for very strong stocks. (I never use them)
Have fun
Trend
EMA Cross CloudSimple ema cross trading alerts, completely customizable fast and slow crossovers with rendered cloud.
This cross indicator attempts to filter counter trend trades by added additional ema market and if crossunder/over occurs opposite of ema market the cloud will turn gray, otherwise if it's with the overall trend then red/green.
The last ema is a trailing stop guideline that is rendered with yellow crosses, could also utilize other stops such as the top or bottom of the cloud.
Alerts are baked in for ema crosses, trend breaks into stops.
NLX Trading Bot Framework (+Trend Score & QQE)- Demo of my NLX Modular Trading Framework -
It includes all the common indicators and creates a positive or negative score, which can be used with my Modular Trading Framework and linked to an entry/exit indicator to filter out buy/sell signals if the trend is not favorable.
Combination of:
SuperTrend
VWAP Bands
Relative Strength Index ( RSI )
Commodity Channel Index ( CCI )
William Percent Range (WPR)
Directional Movement Index (DMI)
Elder Force Index ( EFI )
Momentum
Demarker
Parabolic SAR
- Getting Started -
1. Add this Trend Index to your Chart
2. Add one of my Indicator Modules to your Chart, such as the QQE++ Indicator
3. In the QQE Indicator Settings combine it with the Trend Index (and choose L1 Type)
4. Optional: Add the Noise Filter, and in the Noise Filter Settings you select the QQE Indicator as combination (and choose L2 for Type)
5. Add the Backtest Module to your Chart
6. Select the Noise Filter in the Backtest Settings
- Access -
Only as part of the NLX Framework - see my signature below for more info.
Smoothed Heikin Ashi Trend on Chart - TraderHalai BACKTESTSmoothed Heikin Ashi Trend on chart - Backtest
This is a backtest of the Smoothed Heikin Ashi Trend indicator, which computes the reverse candle close price required to flip a Heikin Ashi trend from red to green and vice versa. The original indicator can be found in the scripts section of my profile.
This particular back test uses this indicator with a Trend following paradigm with a percentage-based stop loss.
Note, that backtesting performance is not always indicative of future performance, but it does provide some basis for further development and walk-forward / live testing.
Testing was performed on Bitcoin , as this is a primary target market for me to use this kind of strategy.
Sample Backtesting results as of 10th June 2022:
Backtesting parameters:
Position size: 10% of equity
Long stop: 1% below entry
Short stop: 1% above entry
Repainting: Off
Smoothing: SMA
Period: 10
8 Hour:
Number of Trades: 1046
Gross Return: 249.27 %
CAGR Return: 14.04 %
Max Drawdown: 7.9 %
Win percentage: 28.01 %
Profit Factor (Expectancy): 2.019
Average Loss: 0.33 %
Average Win: 1.69 %
Average Time for Loss: 1 day
Average Time for Win: 5.33 days
1 Day:
Number of Trades: 429
Gross Return: 458.4 %
CAGR Return: 15.76 %
Max Drawdown: 6.37 %
Profit Factor (Expectancy): 2.804
Average Loss: 0.8 %
Average Win: 7.2 %
Average Time for Loss: 3 days
Average Time for Win: 16 days
5 Day:
Number of Trades: 69
Gross Return: 1614.9 %
CAGR Return: 26.7 %
Max Drawdown: 5.7 %
Profit Factor (Expectancy): 10.451
Average Loss: 3.64 %
Average Win: 81.17 %
Average Time for Loss: 15 days
Average Time for Win: 85 days
Analysis:
The strategy is typical amongst trend following strategies with a less regular win rate, but where profits are more significant than losses. Most of the losses are in sideways, low volatility markets. This strategy performs better on higher timeframes, where it shows a positive expectancy of the strategy.
The average win was positively impacted by Bitcoin’s earlier smaller market cap, as the percentage wins earlier were higher.
Overall the strategy shows potential for further development and may be suitable for walk-forward testing and out of sample analysis to be considered for a demo trading account.
Note in an actual trading setup, you may wish to use this with volatility filters, combined with support resistance zones for a better setup.
As always, this post/indicator/strategy is not financial advice, and please do your due diligence before trading this live.
Original indicator links:
On chart version -
Oscillator version -
Update - 27/06/2022
Unfortunately, It appears that the original script had been taken down due to auto-moderation because of concerns with no slippage / commission. I have since adjusted the backtest, and re-uploaded to include the following to address these concerns, and show that I am genuinely trying to give back to the community and not mislead anyone:
1) Include commission of 0.1% - to match Binance's maker fees prior to moving to a fee-less model.
2) Include slippage of 10 ticks (This is a realistic slippage figure from searching online for most crypto exchanges)
3) Adjust account balance to 10,000 - since most of us are not millionaires.
The rest of the backtesting parameters are comparable to previous results:
Backtesting parameters:
Initial capital: 10000 dollars
Position size: 10% of equity
Long stop: 2% below entry
Short stop: 2% above entry
Repainting: Off
Smoothing: SMA
Period: 10
Slippage: 10 ticks
Commission: 0.1%
This script still remains to shows viability / profitablity on higher term timeframes (with slightly higher drawdown), and I have included the backtest report below to document my findings:
8 Hour:
Number of Trades: 1082
Gross Return: 233.02%
CAGR Return: 14.04 %
Max Drawdown: 7.9 %
Win percentage: 25.6%
Profit Factor (Expectancy): 1.627
Average Loss: 0.46 %
Average Win: 2.18 %
Average Time for Loss: 1.33 day
Average Time for Win: 7.33 days
Once again, please do your own research and due dillegence before trading this live. This post is for education and information purposes only, and should not be taken as financial advice.
Nyquist Moving Average (NMA) MACD [Loxx]Nyquist Moving Average (NMA) MACD is a MACD indicator using Nyquist Moving Average for its calculation.
What is the Nyquist Moving Average?
A moving average outlined originally developed by Dr . Manfred G. Dürschner in his paper "Gleitende Durchschnitte 3.0".
In signal processing theory, the application of a MA to itself can be seen as a Sampling procedure. The sampled signal is the MA (referred to as MA.) and the sampling signal is the MA as well (referred to as MA). If additional periodic cycles which are not included in the price series are to be avoided sampling must obey the Nyquist Criterion.
It can be concluded that the Moving Averages 3.0 on the basis of the Nyquist Criterion bring about a significant improvement compared with the Moving Averages 2.0 and 1.0. Additionally, the efficiency of the Moving Averages 3.0 can be proven in the result of a trading system with NWMA as basis.
What is the MACD?
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA.
The result of that calculation is the MACD line. A nine-day EMA of the MACD called the "signal line," is then plotted on top of the MACD line, which can function as a trigger for buy and sell signals. Traders may buy the security when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line. Moving average convergence divergence (MACD) indicators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls.
Included
Bar coloring
2 types of signal output options
Alerts
Loxx's Expanded Source Types
RSI Precision Trend Candles [Loxx]RSI Precision Trend Candles is a candle coloring indicator that uses an average range algorithm to determine trend direction. The precision trend algorithm can be used on any calculated output to tease out interesting trend information.
What is RSI?
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security.
The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems.
Included
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
MACD + RSI with Trade SignalsThis indicator by default comes with the MACD shown but can be switched to show the RSI instead. Settings for each indicator can also be customized as well as Buy/Sell signals given based on pull back crossovers that follow the 200 EMA of the price Chart. There's an above/below middle fill option you can use but I tend not to but I know some traders like to see when an oscillator is above/below the middle and use it as a trend diretion. By the way, the fourth setting for the MACD (which is 2 by default) is the size of the histogram.
Buy Signal = Price is above the 200 EMA. Current or previous MACD or RSI line is/was below middle line and now crossed above the signal line.
Sell Signal = Price is below the 200 EMA. Current or previous MACD or RSI line is/was above middle line and now crossed below the signal line.
There are alerts for each signal as well (MACD and RSI, both buy and sell).
Feel free to leave a comment regarding issues or suggestions for this indicator or ideas for the next one I should do :)
Price-Filtered Spearman Rank Correl. w/ Floating Levels [Loxx]Price-Filtered Spearman Rank Correl. w/ Floating Levels is a Spearman Rank Correlation indicator with optional source filtering and floating levels.
What is Spearman rank correlation?
Spearman rank correlation, also known as Spearman coefficient is a formula used to identify the strength of the link between two datasets. This coefficient is a method that can be used to assess the strength of a relationship apart from the direction it takes. The formula, named after Charles Spearman, a mathematician, can only be used in circumstances where data can be categorized or put in order, for instance, the highest to the lowest.
For a better understanding of Spearman coefficient, it helps to get a sense of what monotonic function means. There’s a monotonic relationship under these circumstances:
– When the variable values rise together.
– When one variable value rises the other variable value lowers.
– The rate of movement of the variables need not necessarily be constant.
The Spearman correlation coefficient or rs, between +1 and -1, where +1 indicates a perfect strength between variables, while zero shows no association and -1 shows a perfect negative strength.
Spearman rank correlation theory:
A nonparametric (distribution-free) rank statistic proposed by Spearman in 1904 as a measure of the strength of the associations between two variables (Lehmann and D'Abrera 1998). The Spearman rank correlation coefficient can be used to give an R-estimate, and is a measure of monotone association that is used when the distribution of the data make Pearson's correlation coefficient undesirable or misleading.
Included:
Zero-line and signal cross options for bar coloring, signals, and alerts
Alerts
3 Signal types
Loxx's Expanded Source Types
Dynamic Zones Polychromatic Momentum Candles [Loxx]Dynamic Zones Polychromatic Momentum Candles is a candle coloring, momentum indicator that uses Jurik Filtering and Dynamic Zones to calculate the monochromatic color between two colors.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
Loxx's Expanded Source Types
Larry Williams Large Trade Index (LWTI) [Loxx]Larry Williams Large Trade Index (LWTI) is an indicatory by Larry Williams as explained in his book "Trade Stocks and Commodities with the Insiders: Secrets of the COT Report". I've added optional smoothing if you wish to smooth the output.
What is the Larry Williams Large Trade Index (LWTI)?
The original concept was specifically based on Trader (or Market) Sentiment and predicting market reversals. It's calculated as follows:
MovingAvg(Close - Close , bars used in average)/MovingAvg(Range,bars used in average)*50 + 50
Included
Bar coloring
Signals
Alerts
Larry Williams Proxy Index (LWPI) [Loxx]Larry Williams Proxy Index (LWPI) is an indicatory by Larry Williams as explained in his book "Trade Stocks and Commodities with the Insiders: Secrets of the COT Report", pages 129-135. This is an INVERSE indicator, so follow the signals and colors to understand what it's doing. I've added optional smoothing if you wish to smooth the output.
What is the Larry Williams Proxy Index (LWPI)?
The original concept was specifically based on Trader (or Market) Sentiment and predicting market reversals. It's calculated as follows:
MovingAvg(Open-Close, bars used in average)/MovingAvg(Range, bars used in average)*50+50
Included
Bar coloring
Signals
Alerts
Popgun**Popgun**
Eine Popgun wird eine Kerzenformation genannt bei der eine Kerze von zwei anderen "eingeschlossen" ist.
Das heißt die linke und rechte Kerze sind höher und tiefer als die mittlere. Auf solch eine Formation folgt häufig ein Ausbruch in einen Trend.
Sobald eine der folgenden 5 Kerzen über dem Hoch der rechten Kerze schließt erfolgt häufig ein Aufwärtstrend. Sobald eine Kerze unter dem Tief schließt folgt häufig ein Abwärtstrend.
Im Chart oben seht ihr ein Beispiel für eine Popgun. Hierbei habe ich das Hoch/Tief mit einer weißen horizontalen Linie versehen.
Als die Linie durchbrochen wurde folgte ein langer Aufwärtstrend.
** Indikator**
Sobald eine Kerze zwischen zwei anderen eingeschlossen wird zeigt der Indikator die rechte Kerze (also die 3.) mit einem grauen Balken an.
Die Farbe kann in den Einstellungen angepasst werden.
**ALARM FUNKTION**
Es ist möglich mit dem Indikator einen Alarm zu setzen.
Dieser Alarm hat einen automatischen Text der direkt anzeigt auf welchem Chart sich die Popgun befindet.
**RISIKO HINWEIS**
Sie sind für Ihr Handeln selbst verantwortlich. Die Strategie bietet Ihnen lediglich Einstiege nach einem festen System die nicht in allen Fällen funktionieren.
Gewinne sind nicht garantiert und oft abhängig vom richtigen Einstieg/Ausstieg sowie Stopps.
pickle financialversion 1.0
A multi-use indicator
FEATURES:
1) Robust VWAP with up to 3 deviations that can be adjusted for Session, Week, Month, Quarter, Year, Decade, Century, Earnings , Dividend, & Split intervals
2) 20 customizable Moving Averages that can be changed to EMAs, SMAs , WMAs, SMMAs, and VWMAs; can also be adjusted to Candle Closes, Highs, Lows, Opens, HLC3, HL2 , OHLC4, & HLCC4
-Praise be lady VWAP
Ripple Momentum Indicator[LeonidasCrypto]Ripple momentum indicator.
This is indicator is not based on any other indicator.
This indicator is a momentum indicator.
How is working?
This indicator is calculating the gap in for each candle and determining the volatility of this candle . Applying WMA average we can get an idea if the volume is coming to the market or not.
Following the same theory as OBV oscillator "Volume will follow the price". This indicator will help to see if the asset is bearish or bullish based on volatility and volume.
How to trade?
Bullish/Bearish divergences
Trends:
Bellow the line 1: the asset should be considered bearish
Above the line 1: the asset should be considered bullish
Longs:
wait for the signal crossing the bands this is telling you the momentum/volume/volatility are expanding.
Shorts:
Wait for the signal crossing below the band. this is telling you the asset is losing momentum/volume/volume are expanding
Band:
This band is acting as dynamic support of resistance.
Smoothed Repulse w/ Floating Levels [Loxx]Smoothed Repulse w/ Floating Levels indicator measures and displays the bullish or bearish pressure associated with each price candlestick in the form of a curve.
It is more relevant when compared to price and offers valuable additional information on the feeling and confidence that traders have about the markets.
This version can use one of the 4 basic averages types for smoothing.
Coloring can be chosen depending on :
slope
outer levels cross
middle ("zero") level cross
Since the "repulse" indicator is not limited to known bounds, levels are dynamic — the "zero" value too. That makes it more responsive in the times of elevated volatility. Alerts are triggered based on the color change.
Included:
Bar coloring
Signals
Alerts
Your choice of moving average for smoothing
Rails [s3]Centered around a Variable Moving Average. The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility. In addition to the VMA, the indicator displays breakouts in volume and when the Bollinger Bands are in a squeeze.
Dots = Microtrend
Triangles = Breakouts in Volume
X = Crossover of Moving Averages
Shaded "Cloud" = Bollinger Bands Squeeze
Alerts can be set for Bearish and Bullish strength (Volume Breakouts), Crossovers, and when Squeezes have started and ended.
Trend101 v5Welcome to what I believe to be the best indicator on TradingView. Trend101 v5
"Not all trends are made equal"
You should be only trading the trends that matter most... The basis of this script is using volume to rank price trends and give more prominence to the trends that are backed by volume, enabling you to only focus on riding the trends that matter.
If we see a trend with high volume, this will show up in the indicator with larger green or red columns / bars & the trends with low volume will cause little movement in the indicator.
Some indicators are great at showing price trends, some are great at showing volume... Trend101 v5 is great at showing both of these.
This indicator can be used in a variety of ways:
1) The most simplistic is to trade crossovers from Bull > Bear trends and vice versa. This alone can be profitable with a "scalping" mindset where you ride the trend until it shows signs of weakness.
2) The other way I use this indicator is to act as a confirmation tool... for example if price is approach a level of support, you can wait until the price shows signs of rejection and then your confirmation for entry is that Trend101 v5 will change to green. (& the opposite for levels of resistance).
Finally you are also able to use the Timeframe input to select different timeframes, this is useful to use two Trend101 indicators together to filter trade entries. An example would be using one Trend101 indicator set on the 15min timeframe and one set on the Daily timeframe and when both of these align in the same trend direction you are able to enter your trade.
I will produce a video "How To..." guide for this indicator shortly to explain other details.
Let me know in the comments below how you are using the indicator and all feedback is welcome.
Auto Trendline Indicator (based on fractals)A tool that automatically draws out trend lines by connecting the most recent fractals.
Description:
The process of manual drawing out trend lines is highly subjective. Many times, we don’t trade what we see, but what we “want to see”. As a result, we draw lines pointing to the direction that we wishfully want price to move towards. While there are no right/wrong ways to draw trend lines, there are, however, systematic/unsystematic ways to draw trend lines. This tool will systematically draw out trend lines based on fractals.
Additional feature:
This tool will also plot out symbols (default symbol “X”) to signify points of crossings. This can be useful for traders considering to use trend lines as part of their trading strategies.
Here is an interesting observation on the price actions of NASDAQ futures on a 5 second chart during regular trading hours on July 14, 2022.
It’s a phenomenon. People like to see straight lines connecting HL/LH, etc., so it's possible for the market as a whole to psychologically react to these lines. However, it is important to note that is is impossible to predict the direction of price. In the case above, price could have tanked below auto-drawn trend line. Fractal based trend lines should only be taken as references and regarded as price levels. No studies have ever proven that the slope of trend lines can indicate price's future direction.
More about fractals:
To understand more about fractals:
www.investopedia.com
www.tradingview.com
Contrary to what it sounds like, fractal in "technical analysis" does not refer to the recursive self-repeating patterns that appear in nature, such as the mesmerizing patterns found in snowflakes. The Fractal Markets Hypothesis claims that market prices exhibit fractal properties over time. Assuming this assertion to be true, then fractals can be used a tool to represent the chaotic movements of price is a simplified manner.
The purpose of this exercise is to take a tool that is readily available (ie. in this case, TradingView’s built-in fractals tool), and to create a newer tool based on it.
Parameters:
Fractal period (denoted as ‘n’ in code): It is the number of bars bounding a high/low point that must be lower/higher than it, respectively, in order for fractal to be considered valid. Period ‘n’ can be adjusted in this tool. Traditionally, chartists pick the value of 5. The longer it is, the less noise seen on the chart, and the pivot point may also be exhibited in higher timeframes. The drawback is that it will increase the period of lag, and it will take more bars to confirm the printed fractal.
Others: Intuitive parameters such as whether to draw historical trend lines, what color to use, which way to extend the lines, and whether or not to show points of crossings.
God Number Channel v2(GNC v2)GNC got a little update:
1) Logic changed a bit.
I tried to calculate MAs based on the power(high - low of previous bars).You can see it the M-variables, as new statements were added in calculation section of MAs. I don't really know if I did right, because I didn't go too much in Pine Script. I just wanted to make a Bollinger-bands-like bands, which could predict the levels at which might reverse, using legendary fibonacci and Tesla's harmonic number 432. It's might sound as a joke, but as you can see, it works pretty good.
2) Customization :
No need to change Fibonacci ratios in code. Now you can do it in the GNC settings. Also MAs' names were made obvious, just check it out. Time of million similar "MA n1" has passed :)
3) Trade-entry advices :
I didn't tell you exactly the trade-entry advices, as I haven't explored this script fully yet :) But you probably understood something intuitively, when added GNC on the chart. Now I made things way more obvious:
1. Zones between Fib ratios show you how aware you should be of price movements. Basically, here are the rules, but you probably understand them already:
1.1 Red zone(RZ) : high awareness, very likly for price to be reversed, but if there is a clear trend and you know, than it might be a time for price to shoot up/down.
1.2 Orange zone(OZ) : medium awareness, not so obvious, as price might go between boundaries of OZ and continue the trend movement if such followed before entering the OZ. If price go below lower boundary of OZ and the next bar opens below this boundary, it might be a signal for SHORY, BUT(!) please consider confirmation of any sort to be more sure. Think of going beyond the upper boundary by analogy.
1.3 Green Zone(GZ) : if the price hits any boundary of green zone, it is usually a good oppurtunity to open a position against the movement(hit lower boundary -> open LONG, hit upper boundary -> open SHORT).
1.4 Middle Zone(Harmonic Zone)(MZ) : same rules from Green Zone.
IMPORTANT RECCOMENDATION : Use trend indicator to trend all signals from zones to follow the trend, 'cause counter-trending with this thing without stop loss might very quickly wipe you out , might if you will counter-trend strategy with GNC, I will be glad if you share it with the community :)
Reccomendation for better entries :
1) if the price hits the lower(or high) boundaries(LB or HB) zone after zone(hit LB or HB of RZ, then of OZ, then of GZ), it is a very good signal to either LONG, if price was hitting LBs , or SHORT, if hitting HBs .
2) Consider NOT to place trades when in MZ, as price in this zone gets tricky often enough. By the way, if you dont the see the harmonic MAs(which go with plot(ma1+(0.432*avg1)) ), then set the transparency of zone to 20% or a bit more and then it will be ok.
I will continue to develop the GNC and any help or feedback from you, guys, will be very helpful for me, so you welcome for any of those, but please be precise in your critics.
Thank you for using my stuff, hope you found it usefull. Good luck :)
Directional BiasA Directional Bias to stop me trading against the trend
Utilising EMA'S - I personally view on the 15M TF but it can be set on any
40/50/60 15Minute STF
and 13/35/50 - 30M 1H and 4H HTF
Mixing them together in direction and location to each other Gives a 6 colour system for keeping away from trading against trend
Dark Red Both Align - Sells Only do not take Buy Trades
Medium Red HTF and Dark Red Mix - Sells Only do not take Buy Trades
Light Red STF - if in a mix with Blanks and greens - Trade Both Directions - if 8 hours of solid Light Red ? Darker Red - do not take Buy Trades - Sells Only
Orange - Trading Both ways - No Directional Bias
Dark Green Both Align - Buys Only do not take Sell Trades
Medium Green HTF and Dark Green Mix - Buys Only do not take Sell Trades
Light Red STF - if in a mix with Blanks and greens - Trade Both Directions - if 8 hours of solid Light Green ? Darker Green - do not take Sell Trades - Buys Only
Alert Setting for Change of Direction included
I find this useful - to at least give me a pause for thought when I am about to trade against the trend - I hope you do to
Andean OscillatorThe following script is an original creation originally posted on the blog section of the broker Alpaca.
The proposed indicator aims to measure the degree of variations of individual up-trends and down-trends in the price, thus allowing to highlight the direction and amplitude of a current trend.
Settings
Length : Determines the significance of the trends degree of variations measured by the indicator.
Signal Length : Moving average period of the signal line.
Usage
The Andean Oscillator can return multiple information to the user, with its core interpretation revolving around the bull and bear components.
A rising bull component (in green) indicates the presence of bullish price variations while a rising bear component (in red) indicates the presence of bearish price variations.
When the bull component is over the bear component market is up-trending, and the user can expect new higher highs. When the bear component is over the bull component market is down-trending, and the user can expect new lower lows.
The signal line (in orange) allows a more developed interpretation of the indicator and can be used in several ways.
It is possible to use it to filter out potential false signals given by the crosses between the bullish and bearish components. As such the user might want to enter a position once the bullish or bearish component crosses over the signal line instead.
Details
Measuring the degree of variations of trends in the price by their direction (up-trend/down-trend) can be done in several way.
The approach taken by the proposed indicator makes use of exponential envelopes and the naive computation of standard deviation.
First, exponential envelopes are obtained from both the regular prices and squared prices, thus giving two upper extremities, and two lower extremities.
The bullish component is obtained by first subtracting the upper extremity of the squared prices with the squared upper extremity of regular prices, the square root is then applied to this result.
The bearish component is obtained in the same way, but makes use of the lower extremities of the exponential envelopes.
WICK StructureThis indicator builds market structure.
Indicator settings:
- "Start Time" -> You can select the point from which the indicator will build a market structure
- "Swing Period" -> It is a swing information
- "The beginning of the trend is ascending"
- "Disable WICK indicator" -> You can disable Wick indicator
God Number Channel V1 (GNC V1)Channel, made of 5 MAs, which a made this way: High of N-period SMA - Low of N-period SMA + X-period SMA (check the code), where N and X are defined by your input.
Main purpose: helps you understand in what range price can move.
WARNING!
HAS TO BE USED WITH OTHER INDICATORS TO HAVE MORE ACCURATE ENTRIES!!!
If the price is above or below the channel, it means that the movement is very strong and you count it as a trend, but be careful then the price returns to the channel, as correction will follow very soon. Use fib correction tool to understand the approximate depth of correction, works pretty good.
Recommendation: consider using the Vortex Indicator( len 21 and 14 are fine; for trend) and "Vumanchu Divergencies + B"(for anything, but calibrate for accuracy, otherwise there will be too much false signals). If you want to see more options where the price might go, just add new MA and add/substract to/from its value avg1*(any of fibonacci correction levels, I personally use 1.618 and 2.618 and for me it is ok): plot(show_ma1 ? ma1+( [ [ ]]]*avg1) : na, color = ma1_color, title="MA №1")
Recommendations and feedback are welcome(!)
Take your wins
