Linear Correlation OscillatorYou don't need loops to get the rolling correlation between an input series and a linear sequence of values, this can be obtained from the normalized difference between a WMA and an SMA of the input series.
The closed-form solutions for the moving average and standard deviation of a linear sequence can be easily calculated, while the same rolling statistics for the input series can be computed using cumulative sums. All these concepts were introduced in previous indicators posts long ago.
This approach can allow to efficiently compute the rolling R-Squared of a linear regression, as well as its SSE.
Using the rolling correlation as a trend indicator is often attributed to John Ehlers with the correlation trend indicator (Correlation As A Trend Indicator), but the applications of this precise method can be traced back quite a while ago by a wide variety of users, in fact, the LSMA can be computed using this precise indicator. You can see an example where the correlation oscillator appears below:
Trend
Twin Optimized Trend Tracker Strategy TOTTAnıl Özekşi's new strategy which is a combination of 2 Optimized Trend Tracker lines which are vertical displaced from original version with a COEFFICIENT to cope with sideways' false signals which he explained in "Toy Borsacı İçin OTT Kullanım Kılavuzu 2"
original version of OTT:
OTT Strategy and Screener:
You can find a detailed explanation with subtitles from the developer of OTT Anıl Özekşi himself as: "Toy Borsacı İçin OTT Kullanım Kılavuzu 2"
SemaforHello Traders!
I have been away for a while but am recovering back gradually! Here is a gift to all of you.
It is based on the much loved ZigZag++ Script
The Semafor is used to spot future multi-level Supports and Resistance zones.
It is also useful to spot HL or LL or HH or LH zones at different Depth settings.
The red zones are the extreme places where the market has a higher chance of reversing while the green zones have the lowest setting with lower chances of the market reversal
To ease understanding of the code, I used the function `zigzag()` to show the simplicity in calculation
More will be coming this Year!
Volume Weighted SSL ChannelVolume-weighted SSl channel.
new concept of indicator that does not have in the entire library, different from SSL based on EMA or MA, this indicator can identify turns faster than a conventional indicator that only takes into account the price.
Enjoy and give the feedback.
On Balance Volume FieldsThe On Balance Volume (OBV) indicator was developed by Joseph E. Granville and published first in his book "New key to stock market profits" in 1963. It uses volume to determine momentum of an asset. The base concept of OBV is - in simple terms - you take a running total of the volume and either add or subtract the current timeframe volume if the market goes up or down. The simplest use cases only use the line build that way to confirm direction of price, but the possibilities and applications of OBV go far beyond that and are (at least to my knowledge) not found in existing indicators available on this platform.
If you are interested to get a deeper understanding of OBV, I recommend the lecture of the above mentioned book by Granville. All the features described below are taken directly from the book or are inspired by it (deviations will be marked accordingly). If you have no prior experience with OBV, I recommend to start simple and read an easy introduction (e.g. On-Balance Volume (OBV) Definition from Investopedia) and start applying the basic concepts first before heading into the more advanced analysis of OBV fields and trends.
Markets and Timeframes
As the OBV is "just" a momentum indicator, it should be applicable to any market and timeframe.
As a long term investor, my experience is limited to the longer timeframes (primarily daily), which is also how Granville applies it. But that is most likely due to the time it was developed and the lack of lower timeframe data at that point in time. I don't see why it wouldn't be applicable to any timeframe, but cannot speak from experience here so do your own research and let me know. Likewise, I invest in the crypto markets almost exclusively and hence this is where my experience with this indicator comes from.
Feature List
As a general note before starting into the description of the individual features: I use the colors and values of the default settings of the indicator to describe it. The general look and feel obviously can be customized (and I highly recommend doing so, as this is a very visual representation of volume, and it should suit your way of looking at a chart) and I also tried to make the individual features as customizable as possible.
Also, all additions to the OBV itself can be turned off so that you're left with just the OBV line (although if that's what you want, I recommend a version of the indicator with less overhead).
Fields
Fields are defined as successive UPs or DOWNs on the OBV. An UP is any OBV reading above the last high pivot and subsequently a DOWN is any reading below the last low pivot. An UP-field is the time from the first UP after a DOWN-field to the first DOWN (not including). The same goes for a DOWN field but vice versa.
The field serves the same purpose as the OBV itself. To indicate momentum direction. I haven't found much use for the fields themselves other than serving as a more smoothed view on the current momentum. The real power of the fields emerges when starting to determine larger trends of off them (as you will see soon).
Therefor the fields are displayed on the indicator as background colors (UP = green, DOWN = red), but only very faint to not distract too much from the other parts of the indicator.
Major Volume Trend
The major volume trend - from which Granville says, it's the one that tends to precede price - is determined as the succession of the highest highs and lowest lows of UP and DOWN fields. It is represented by the colors of the numbers printed on the highs and lows of the fields.
The trend to be "Rising" is defined as the highest high of an UP field being higher than the highest high of the last UP field and the lowest low of the last DOWN field being higher than the lowest low of the prior DOWN field. And vice versa for a "Falling" trend. If the trend does not have a rising or falling pattern, it is said to be "Doubtful". The colors are indicated as follows:
Rising = green
Falling = red
Doubtful = blue
ZigZag Swing count
The swing count is determined by counting the number of swings within a trend (as described above) and is represented by the numbers above the highs and lows of the fields. It determines the length and thus strength of a trend.
In general there are two ways to determine the count. The first one is by counting the swings between pivots and the second one by counting the swings between highs and lows of fields. This indicator represents the SECOND one as it represents the longer term trend (which I'm more interested in as it denotes a longer term perspective).
However, the ZigZag count has three applications on the OBV. The "simple ZigZag" is a count of three swings which mainly tells you that the shorter term momentum of the market has changed and the current trend is weakening. This doesn't mean it will reverse. A count of three downs is still healthy if it occurs on a strong uptrend (and vice versa) and it should primarily serve as a sign of caution. If the count increases beyond three, the last trend is weakening considerably, and you should probably take action.
The second count to look out for is five swings - the "compound ZigZag". If this goes hand in hand with breaking a major support/resistance on the OBV it can offer a buying/selling opportunity in the direction of the trend. Otherwise, there's a good chance that this is a reversal signal.
The third count is nine. To quote Granville directly: "there is a very strong tendency FOR MAJOR REVERSAL OF REND AFTER THE NINTH SWING" (emphasis by the author). This is something I look out for and get cautious about, although I have found signal to be weak in an overextended market. I have observed counts of 10 and even 12 which did not result in a major reversal and the market trended further after a short period of time. This is still a major sign of caution and should not be taken lightly.
Moving average
Although Granville talks only briefly about averages and the only mention of a specific one is the 10MA, I found moving averages to be a very valuable addition to my analysis of the OBV movements.
The indicator uses three Exponential Moving Averages. A long term one to determine the general direction and two short term ones to determine the momentum of the trend. Especially for the latter two, keep in mind that those are very indirect as they are indicators of an indicator anyway and I they should not necessarily be used as support or resistance (although that might sometimes be helpful). I recommend paying most attention to the longterm average as I've found it to be very accurate when determining the longterm trend of a market (even better than the same indicator on the price).
If the OBV is above the long term average, the space between OBV and average is filled green and filled red if below. The colors and defaults for the averages are:
long term, 144EMA, green
short term 1, 21EMA, blue
short term 2, 55EMA, red
Divergences
This is a very rudimentary adaption of the standard TradingView "Divergence Indicator". I find it helpful to have these on the radar, but do not actively use them (as in having a strategy based on OBV/price divergence). This is something that I would eventually pick up in a later version of the indicator if there is any demand for it, or I find the time to look into strategies based on this.
Comparison line
A small but very helpful addition to the indicator is a horizontal line that traces the current OBV value in real time, which makes it very easy to compare the current value of the OBV to historic values (which is a study I can highly recommend).
Ichimoku Trend DirectionThis script will help you detect the current trend of market use Ichimoku trading system. We use the default parameters.
To reduce risk, ONLY trade follow the trend of high time frame!
Very simple to use:
- Green background when market Up trend
- Red background when market Down trend
Have a nice trade! :P
HalfTrendA popular trend indicator based on ATR. Similar to the SuperTrend but uses a different trend's identification logic.
I am publishing a disclosed code without license. Remember that in the future you may see a lot of paid IO scripts called BuySellScalper, Trend Trader Karan, Trend Trader and etc (by other authors) which will be based on this script. I found the same script on Ebay for $10 with a free shipping. Beware, always check and follow one Russian wisdom: "Do not pay for something you can get for free".
EMA CrossoversUseful for identifying and receiving alerts about uptrends and downtrends.
This script uses two Exponential Moving Averages (EMAs) to find price uptrends and downtrends. An Exponential Moving Average (EMA) is a type of moving average that places a greater weight and significance on the most recent data points. The script produces uptrend and downtrend signals based on crossovers and divergences between the two EMAs, the user will be able to spot a trend change (when the EMAs crossover) and to determine the strength of the current trend (when the EMAs diverge). It is also posible to get alerts for uptrends and downtrends on the web and mobile app with sound and pop-ups as well as via email. The optimal time to enter and exit the market can be concluded from this trend changes.
The user can set their own EMAs, by default they are set to 21 and 55 periods for medium and long term respectively. When the medium term EMA crosses below the long term EMA the asset is in a downtrend and the price will decline, and when the medium term EMA crosses above the long term EMA the asset is in an uptrend and price will increase.
This scripts plots the following indicators and signals on the chart to help the user to identify trends:
1.- Medium and long term EMAs as lines overlaid on the price chart.
2.- Up green triangles above bars when the price is on an uptrend and down red triangles below bars when the price is on a downtrend.
3.- Arrows with text to indicate the start of an uptrend or downtrend.
The user can enable and disable the indicators and signals as well as set colors and shapes to their liking.
This script also lets the user create alerts for uptrends and downtrends. To create a new alert using this script follow this instructions:
1.- Once you added this script to your chart, go to the alerts panel (right on web or bottom tool bar on the mobile app) and add a new alert (alarm clock icon with a plus sign).
2.- A modal window will open. On the “Condition” dropdown menu select “EMA Crossovers”.
3.- On the next dropdown menu (right below the “Condition” one) you can select from two types of alerts “Uptrend started” and “Downtrend started”.
4.- Lastly you can set all the normal alert options and create the alert.
Consolidation Ranges [kingthies] Consolidation Range Analysis
Published by Eric Thies, January 2021
█ Indicator Summary
This tool calculates, analyzes and plots the visualization of a relative range over a given period of time
By adding to charts, users are enabled to see the impulsive nature of market cycles, along with their efforts to consolidate thereafter
The default period is 30, and should be adjusted to users preference
The default input is the current close price, on the chosen timeframe of the chart
█ Script Source
//
//@version=4
//© kingthies || This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
study("Consolidation Ranges ", shorttitle="CR ", overlay=true)
// !<------ User Inputs ----->
src = input(close, title='Range Input (Default set to Close'), lengthEMA=input(30,title='Length'),zoneToggle = input(true, title="Toggle Zone Highlights"), iCol = color.new(#FFFFFF, 100),
// !<---- Declarations & Calculations ---- >
trndUp = float(na),trndDwn = float(na), mid = float(na), e = ema(src, lengthEMA)
trndUp := src < nz(trndUp ) and src > trndDwn ? nz(trndUp ) : high, trndDwn := src < nz(trndUp ) and src > trndDwn ? nz(trndDwn ) : low, mid := avg(trndUp, trndDwn)
// !< ---- Plotting ----->
highRange = plot(trndUp == nz(trndUp ) ? trndUp : na, color=color.white, linewidth=2, style=plot.style_linebr, title="Top of Period Range")
lowRange = plot(trndDwn == nz(trndDwn ) ? trndDwn : na, color=color.white, linewidth=2, style=plot.style_linebr, title="Bottom of Period Range")
xzone = plot(zoneToggle ? src > e ? trndDwn : trndUp : na, color=iCol, style=plot.style_circles, linewidth=0, editable=false)
fill(highRange, xzone, color=color.lime,transp=70), fill(xzone, lowRange, color=color.red,transp=70)
//
MrBS:Directional Movement Index [Trend Friend Strategy]This goes with my MrBS:DMI+ indicator. I originally combined them into one, but then you cannot set alerts based on what the ADX and DMI is doing, only strategy alerts, so separate ones have more flexibility and uses.
Indicator Version is found under "MrBS:Directional Movement Index " ()
//// THE IDEA
The majority of profits made in the market come from trending markets. Of course there are strategies that would say otherwise but for the majority of people, THE TREND IS YOUR FRIEND (until the end). The idea is to follow the trend, entering once it has established its self and exiting positions when the trend weakens. This strategy gives a rough idea of the returns produced from following purely the ADX signals. At first Heikin Ashi values were used for the calculation but the results show it's not that effective. The functionality to switch between calculation types has been left in, so we can uses HA candle data to generate signals from while looking at an OHLC chart, if we want to experiment. Due to the way strategies work, we are unable to get reliable results when running the strategy on the HA chart even if we are calculating the signals from the real OHLC values. It is best to always run strategies on standard charts.
When using this strategy, I look for confirmation of the signal based on stochastic (14:3:6) direction, reversal level of stochastic, and divergance, to add confidence and adjust position size accordingly. I am going to try and code some version of that in future updates, if anyone can help or has suggestions please drop me a message.
//// INDICATOR DETAILS
- The default settings are for optimized Daily charts, for 4 hour I would suggest a smoothing of 2.
- The default values used for calculation are the Real OHLC, we can change this to Heikin Ashi in the menu.
- The strategy enters a position when ADX crosses the threshold level, and closes the position when ADX starts to fall.
- There is a signal filter in the form of a 377 period Hull Moving Average, which the price must be above or bellow for long and short positions respectively.
- The strategy closes the position when a cross-under of the ADX and its 4 period EMA. This is an attempt to stay into positions longer as sometimes the ADX will fall for 1 bar and then keep rising, while the overall trend is strong. The downside to this is that we exit trades later and this affects our max drawdown.
Moving Average Compilation by CryptonerdsThis script contains all commonly used types of moving averages in a single script. To our surprise, it turned out that there was no script available yet that contains multiple types of moving averages.
The following types of moving averages are included:
Simple Moving Averages (SMA)
Exponential Moving Averages (EMA)
Double Exponential Moving Averages (DEMA)
Display Triple Exponential Moving Averages (TEMA)
Display Weighted Moving Averages (WMA)
Display Hull Moving Averages (HMA)
Wilder's exponential moving averages (RMA)
Volume-Weighted Moving Averages (VWMA)
The user can configure what type of moving averages are displayed, including the length and up to five multiple moving averages per type. If you have any other request related to adding moving averages, please leave a comment in the section below.
If you've learned something new and found value, leave us a message to show your support!
Neapolitan BandsThe Neapolitan Bands were derived from Jean Marc Guillot's 2001 IFTA trading strategy. In his study published by the International Federation of Technical Analysis titled, "Using Indicators from the Derivatives Markets to Forecast FX Moves" Guillot utilizes multiple bollinger bands of various deviations to determine trends and reversals, entries and exits. I isolated this particular part of his overall trading strategy because it has been a useful trend following indicator for me.
Some basics:
Neapolitan Bands can help identify points that a trend starts and ends, as well as reversals when price is ranging.
These bands are typically paired with another indicator like Guillot did to help separate/time trend or reversal signals. (He used MACD, Slow Stochastic, and RSI)
Parts of this indicator:
The period is by default 55 to identify "intermediate" trends. Not short or long term ones.
The blue area shows the 1st standard deviation. This is the "normal range" where price "likes" to be.
The green area shows the 2nd standard deviation and identifies/defines trends. Closes in this area are used for entering trends long or short.
The red area shows the 3rd standard deviation that shows either a spot to take profit/enter a reversal trade, or a point where the market is free falling.
Trend trading rules:
Entry and exit signals for trends are based on price closing above and below the 1st standard deviation, or blue area. If you expect a bullish trend, you buy once price enters the upper green area.
Guillot recommends setting a stop loss to the MA period of the Neapolitan Bands. So if it's 55 periods, you set the stop loss at the 55 SMA.
Reversal trading rules:
For reversals Guillot says, "In a trading range, bands act as supports and resistances. In extreme conditions reversals can occur within or past the 2nd standard deviation." For us, this means that technically anywhere in the green or red areas, a reversal can occur when the price is ranging. Typically this happens at the edges of the bands.
The "edge to edge" trade:
This is a strategy I took from Ichimoku Clouds and applied to the Neapolitan Bands. An "edge to edge" trade is when price closes back into the blue area from one edge, and price travels all the way to the other edge of the blue area. This can apply going from the edge of one green area to the other edge.
Note that this is one piece of Guillot's trading system, and not the whole thing. On top of that I have modified the original parameters to suit the function of trend following, and added an extra bollinger band. Using a shorter period like 20 is more optimal for shorter expected trends or reversals, and it's what Guillot used himself.
Thanks to Sean Nance for reminding me the indicator looks like ice cream! ( coming up with the name :P )
MrBS:Directional Movement Index [Trend Friend]I started this project with the goal of making a DMI/ADX that was easy to read at a glance. Its since become a little more then just colouring the slopes. The majority of the time, the best returns come from trending markets (THE TREND IS YOUR FRIEND... until the end) and I hope this helps people become good friends with the trends.
----- Features
- A function to change the values used for calculation from real OHLC and Heikin Ashi. This allows us to look at different chart types but see the specific ADX we choose. Originally HA values were used for calculation since it is easier to see trend on HA charts. However when testing it was not as effective as the ADX calculated from the real values on normal charts. So the default function was flipped and real OHLC values are used as default.
- Two ADX plots so we can see two different smoothness's. With a smoothing of 2, a slight slow down in PA can cause a negative slope but the smoother ADX will stay trending unless its a major change. 2nd ADX is slightly transparent.
- There is an EMA of the main ADX that can be used as a exit signal filter. If the ADX starts going down but has not crossed the EMA we would stay in a trade.
- Plots (excluding EMA) are coloured based on positive or negative slopes.
- Fibonacci numbers have been used to create different trend levels, instead of the standard 25, 50, 100.
- Alerts for every useful situation to help save time and not have to manually enter levels or crosses each time.
- In the code there are 8 EMAs and 3 ADXs but it was too much so they have been slashed out, but are fully functional if you choose to activate and use them. To reactivate the 3rd ADX delete slashes on lines 50, 65, 78, 92-95, 165. The slashed out EMAs are much more obvious and easy to reactivate.
Colours:
ADX going up = Green
ADX going down = Red
DMI+ going up = Bright Aqua
DMI+ going down = Turquoise / Dark Aqua
DMI- going up = Bright Purple
DMI- going down = Dark Purple
EMA = White (50% transparent)
If there is anything that would be useful, let me know and I will add it in. I've already got some improvements/changes planned and some of my notes can be found in the code.
There is also a strategy to go with this indicator that will be uploaded very soon.
Pyramiding Entries On Early Trends (by Coinrule)Pyramiding the entries in a trading strategy may be risky but at the same time very profitable with a proper risk management approach. This strategy seeks to spot early signs of uptrends and increase the position's size while the right conditions persist.
Each trade comes with its stop-loss and take-profit to enforce a proportional risk/reward profile.
The strategy uses a mix of Moving Average based setups to define the buy-signal.
The Moving Average (200) is above the Moving Average (100), which prevents from buying when the uptrend is already in its late stages
The Moving Average (9) is above the Moving Average (100), indicating that the coin is not in a downtrend.
The price crossing above the Moving Average (9) confirms the potential upside used to fire the buy order.
Each entry comes with a stop-loss and a take-profit in a ratio of 1-to-1. After over 400 backtests, we opted for a 3% TP and 3% SL, which provides the best results.
The strategy is optimized on a 1-hour time frame.
The Advantages of this strategy are:
It offers the possibility of adjusting the size of the position proportionally to the confidence in the possibilities that an uptrend will eventually form.
Low drawdowns. On average, the percentage of trades in profit is above 60%, and the stop-loss equal to the take-profit reduces the overall risk.
This strategy returned good returns both with trading pairs with Fiat/stable coins and with BTC. Considering the mixed trends that cryptocurrencies experienced during 2020 vs BTC, this strengthens the strategy's reliability.
The strategy assumes each order to trade 20% of the available capital and pyramids the entries up to 7 times.
A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
OCC Trend Combo 1 day BTC MoonflagRuns on BTC 1 DAY (NOTE USE THIS NOT THE PREVIOUS VERSION - DEFAULTS TUNED TO 1 day BTC HERE)
USE DEFAULT SETTINGS
The strategy is to maximise the profit for OCC longs (ALMA algo)
Longs start when the price action settles around the ALMA OCC, then typically breaks up
Then follow the trend indcator (blue/orange)
Shorts normally happen when the price action crosses below the ALMA OCC, although these initiate faster than the 1 day time setting - so watchout for shorts - are harder to predict than longs
So this catches most of the big move longs at their initiation
trend Screener List1This is type of custom screener I searched and made to screen bulk stocks any one can modify it, other may get help out of it.
in my code i have made defined
1. uptrend= ema(close,55)> ema(close,144) and ema(close,144)> ema(close,388) and ema(close,388)> ema(close,576) and close>ema(close,388)
2. downtrend = ema(close,55)< ema(close,144) and ema(close,144)< ema(close,388) and ema(close,388)<ema(close,576) and close<ema(close,388)
if the indicator is printing DOWNTREND=TRUE or UPTREND=TRUE then the corresponding stock is in currently in that trend out of the stocks listed in the code
in one code only 40 (max) stocks can be called.
to add more stocks I copied same code and changed the stocks in the code, now you can screen 80 stocks at a time.
This code runs on each bar and checks if the stocks is in uptrend or down trend.
you can customize this screener according to your requirement.
//thanks @QuantNomad from where i solved my problem of screening my top stock for custom trend screener
//idea and motivation taken from
after adding another code you can screen 80 stocks at a time and so on , below following link is how it will look like
MAST TrendHello Traders !!
This is a simple super trend based MAST trend.
By default the supertrend is 10 period with 3 ATR multiplier.
A moving average is used to benefit from the pullback entries.
Bullish Pullback : Price above Supertrend & below MA
Bullish: Price above Supertrend and above MA
Bearish pullback : Price below Supertrend & above MA
Bearish : Price below Supertrend & below MA
Refer to investopedia or any relevant articles for in detail about Supertrend.
G-Oscillator Strength v.1Hello this is my new indicator. Purpose of this indicator is to find the strength of the trend.
This indicator was developed by RSI(14) and Stochastic(50)
How to used
Red = RSI(14) & Sto(50) < 40
Lightblue = RSI(14) >= 50 and Sto(40) < 50
Darkblue = RSI(14) & Sto(40) >= 50
Green = Sto(40) >= 80
Yellow = RSI(14) < 50 and Sto(40) >= 50
Buy&Sell
Buy signal for this indicator is Lightblue to Darkblue
Sell signal is Green to Darkblue or Darkblue to Yellow
Excellent ADXThe Average Directional movement indeX (ADX) is an indicator that helps you determine the trend direction, pivot points, and much more else! But it looks not so easy as other famous indicators. It seems strange or even terrible, but don't be afraid. Let's understand how it works and get its power into your analysis tactics.
In the beginning, imagine a drunk man goes through a ladder: step by step. Up, up, down, up, down, down, up...
How can we understand which direction he goes? Exactly! We can count the number of steps in each direction. In the above example, in the upward – 4, in the downward – 3. So, it looks like he goes in an upward direction.
The ADX indicator counts the same steps, but for price. The size of each step equals 1 ATR for "DI Length" candles. On the indicator chart, we have the green and red lines. The green line represents a number of steps upward. The red line shows one downward. When the red line upper green, then the price goes below, then the trend is directed down. Later the green line comes above the red one, and then the trend changes the direction to upward. Wow? After that, you can easy detect the trend direction on the market!
But it is still not the end. On the chart, we also have the fat blue line. This is the ADX line, and it represents the power of the trend. It is calculated from a distance between the green and red curves. The ADX line value grows if the distance is increased. If the movement is really powerful, then a number of steps into a direction much more prominent than one in an opposed direction. Then the blue line grows faster. But if the growth has stopped and the blue line turns back or already had changed self-direction, then it is a signal that the trend has ended too. It's an excellent sign to close the position (but not always). Easy? Not quite. Thresholds help you there. The indicator has two additional parameters: upper and lower thresholds to evaluate the trend-over signal strength. An u-turn of the ADX line above the upper threshold sends a strong signal. If one occurs between both thresholds, it is a bit weak signal. But if the blue line goes below the lower threshold, it looks like there is no trend, and the price goes side. We can also say that the price goes side when the ADX value gradually falls down.
The Excellent ADX indicator helps you catch pivot/pullback signals based on green, red, and blue lines. Each such signal is highlighted as a green (buy) or red (sell) dot on the plot. The size of the dot represents the strength of the signal. You can also check the position of green and red lines from each other to determine the trend direction and the place where it has been changed. The Excellent ADX indicator helps you there too. It highlights the trend direction by the background-color, so you'll never miss it! The Excellent ADX good compliance with the Price Channel indicator built for the same length. You can use them together to be on a trend wave always!
Trend Thrust Indicator - RafkaThis indicator defines the impact of volume on the volume-weighted moving average, emphasizing trends with greater volume.
What determines a security’s value? Price is the agreement to exchange despite the possible disagreement in value. Price is the conviction, emotion, and volition of investors. It is not a constant but is influenced by information, opinions, and emotions over time. Volume represents this degree of conviction and is the embodiment of information and opinions flowing through investor channels. It is the asymmetry between the volume being forced through supply (offers) and demand (bids) that facilitates price change. Quantifying the extent of asymmetry between price trends and the corresponding volume flows is a primary objective of volume analysis. Volume analysis research reveals that volume often leads price but may also be used to confirm the present price trend.
Trend thrust indicator
The trend thrust indicator (TTI), an enhanced version of the volume-weighted moving average convergence/divergence (VW-Macd) indicator, was introduced in Buff Pelz Dormeier's book 'Investing With Volume Analysis'. The TTI uses a volume multiplier in unique ways to exaggerate the impact of volume on volume-weighted moving averages. Like the VW-Macd, the TTI uses volume-weighted moving averages as opposed to exponential moving averages. Volume-weighted averages weigh closing prices proportionally to the volume traded during each time period, so the TTI gives greater emphasis to those price trends with greater volume and less emphasis to time periods with lighter volume. In the February 2001 issue of Stocks & Commodities, I showed that volume-weighted moving averages (Buff averages, or Vwmas) improve responsiveness while increasing reliability of simple moving averages.
Like the Macd and VW-Macd, the TTI calculates a spread by subtracting the short (fast) average from the long (slow) average. This spread combined with a volume multiplier creates the Buff spread
TREND SNIPER (Final Version)/ This script calculates the daily resistance and support levels. The entry is when the close breaks these levels.
// Then it sets 4 exit lines, if the backtraces these lines you've got your normal exit.
// If the close crosses the TP you've got your TP exit. And if the close crosses the SL you've got your SL exit.
// This is the good part --> If the close crosses the first line the SL get's raised to the entry level.
// This way you cut down on the SL losses and turn a lot of SL trades into (almost) break even trades.
// You can adjust the resistance and support levels to remove the 'little wick entries', this raises the profitability.
// You can also choose the security resolution. I recommend using a higher timeframe than the chart resolution.
// The exit source is also changeable. The HLC3 works best for me, but you can try others if you want.
I could really use some feedback. I want the resistance and support levels to remain on the same position when in trade. But it sometimes changes mid trade.
If you know how to fix this I will be forever grateful. If you have any feedback don't hesitate to give it to me straight. Thanks in advance and have a wonderful day :)
G TREND GUNBOTG TREND indicator follows trends based on higher open or close based on trend direction
Simple Bollinger Band and stochastic oscillator strategy for SPXThis is a very simple Bollinger Band strategy with stochastic oscillator added. Main trend is determined by Band breakout while (5,3,3) stochastic crosses is used for additional entries. Alert function is configured as "one alert for any events", so that free users can set up and get alert for every events in the script. The following code segment can be manipulated as your needs, by removing or keeping "//" comment slashes etc. Entries should be above/below the signal bars and 7-8 points should be regarded as first target, trail the left. Good luck !
signal = bbupcross or bbdowncross //or add_long or add_short