Simple Zigzag UDT█ OVERVIEW
This indicator displays zigzag based on high and low, which is using user-defined types (UDT) or objects .
█ CREDITS
LonesomeTheBlue
█ FEATURES
1. Label can be resized.
2. Label can be display either short (Eg : HH, LL, H, L, etc) and long (Eg : Higher Low, etc)
3. Color can be customized either contrast color of chart background, trend color or customized color.
█ EXAMPLES / USAGES
Волновой анализ
MATHR3E WAVES█ OVERVIEW
MATHR3E WAVES automatically draws Elliott Waves on your charts with their potential associated targets.
█ CONCEPTS
Disclaimer
MATHR3E RETRACEMENTS indicator is intended for advanced traders and may fit your profile, whether you are a day trader or a long-term investor.
It was originally developed by a renowned market analyst and documented in numerous books. Among them is the author Jason Perl.
It is recommended to have read the trading techniques mentioned in the books covering this indicator beforehand.
How to use:
MATHR3E WAVES indicator can provide a roadmap of market direction that you can use to determine price targets and isolate exhaustion points from potential trends in conjunction with other indicators by the same author.
Be aware the indicator's approach is derived from the Elliott wave theory and may slightly diverge from the cardinal rules of Elliott waves.
Principle of the Elliott Wave Theory
Movement in the direction of the trend is unfolding in 5 waves (called motive wave) while any correction against the trend is in three waves (called corrective wave). The movement in the direction of the trend is labeled as 1, 2, 3, 4, and 5. The three-wave correction is labeled as a, b, and c. These patterns can be seen in the long term as well as short term charts.
Wave 1:
Wave one is rarely obvious at its inception. When the first wave of a new bull market begins, the fundamental news is almost universally negative. The previous trend is considered still strongly in force. Fundamental analysts continue to revise their earnings estimates lower; the economy probably does not look strong. Sentiment surveys are decidedly bearish, put options are in vogue, and implied volatility in the options market is high. Volume might increase a bit as prices rise, but not by enough to alert many technical analysts.
Wave 2:
Wave two corrects wave one, but can never extend beyond the starting point of wave one. Typically, the news is still bad. As prices retest the prior low, bearish sentiment quickly builds, and "the crowd" haughtily reminds all that the bear market is still deeply ensconced. Still, some positive signs appear for those who are looking: volume should be lower during wave two than during wave one, prices usually do not retrace more than 61.8% of the wave one gains, and prices should fall in a three-wave pattern.
Wave 3:
Wave three is usually the largest and most powerful wave in a trend. The news is now positive and fundamental analysts start to raise earnings estimates. Prices rise quickly, corrections are short-lived and shallow. Anyone looking to "get in on a pullback" will likely miss the boat. As wave three starts, the news is probably still bearish, and most market players remain negative; but by wave three's midpoint, "the crowd" will often join the new bullish trend. Wave three often extends wave one by a ratio of 1.618:1.
Wave 4:
Wave four is typically clearly corrective. Prices may meander sideways for an extended period, and wave four typically retraces less than 38.2% of wave three. Volume is well below that of wave three. This is a good place to buy a pullback if you understand the potential ahead for wave 5. Still, fourth waves are often frustrating because of their lack of progress in the larger trend.
Wave 5:
Wave five is the final leg in the direction of the dominant trend. The news is almost universally positive and everyone is bullish. Unfortunately, this is when many average investors finally buy-in, right before the top. Volume is often lower in wave five than in wave three, and many momentum indicators start to show divergences (prices reach a new high but the indicators do not reach a new peak).
Wave A:
Corrections are typically harder to identify than impulse moves. In wave A of a bear market, the fundamental news is usually still positive. Most analysts see the drop as a correction in a still-active bull market. Some technical indicators that accompany wave A include increased volume, rising implied volatility in the options markets, and possibly a turn higher in open interest in related futures markets.
Wave B:
Prices reverse higher, which many see as a resumption of the now long-gone bull market. Those familiar with classical technical analysis may see the peak as the right shoulder of a head and shoulders reversal pattern. The volume during wave B should be lower than in wave A. By this point, fundamentals are probably no longer improving, but they most likely have not yet turned negative.
Wave C:
Prices move impulsively lower in five waves. Volume picks up, and by the third leg of wave C, almost everyone realizes that a bear market is firmly entrenched. Wave C is typically at least as large as wave A and often extends to 1.618 times wave A or beyond.
█ FEATURES & BENEFITS
Versatile
The indicator works on relative price action, so you can apply it without having to change any of the default settings.
Targets:
Customize the high and low wave targets to identify possible price target areas.
Adjustable Rules:
• Shift Wave 2: if Wave 4 closes below the low close of Wave 2.
• Shift Wave 4: if Wave A closes below the low close of Wave 4.
• Allow Wave 4 to overlap Wave 1
• Allow truncated Wave 5
• Allow truncated Wave C
Price ratio:
Force waves 2/4 to retrace to a specific Fibonacci level.
Force Waves 3/5 size to a specific Fibonacci level.
Time Ratio:
Force selected waves to last a required number of bars.
Alerts:
Set up your alerts and receive notifications on wave completion.
Alerts format can be adapted to be received on Discord servers.
3 Zigzag for MTF Fib Alert [MsF]Japanese below / 日本語説明は英文の後にあります。
-------------------------
This indicator that automatically displays Fibonacci from each High & Low based on 3 Zigzags. It's useful for multi-timeframe analysis.
For example, Fibonacci calculated from the high and low prices (Zigzag 3 Period=100) of the upper timeframe can be displayed on the lower timeframe.
Also, you can set alerts for each Fibonacci point. It is useful when you are waiting for the price to return to the discount (50% or less) or the premium (50% or more) of the upper timeframe.
"Fib 1 - Crossing 0.00" … Trigger an alert when crossing the 0% line in Fibonacci of Zigzag1
"Fib 1 - Crossing 100.0" … Trigger an alert when crossing the 100% line in Fibonacci of Zigzag1
"Fib 1 - Crossing 23.6" … Trigger an alert when crossing the 23.6% line in Fibonacci of Zigzag1
"Fib 1 - Crossing 38.2" … Trigger an alert when crossing the 38.2% line in Fibonacci of Zigzag1
"Fib 1 - Crossing 50.0" … Trigger an alert when crossing the 50.0% line in Fibonacci of Zigzag1
"Fib 1 - Crossing 61.8" … Trigger an alert when crossing the 61.8% line in Fibonacci of Zigzag1
"Fib 1 - Crossing 76.4" … Trigger an alert when crossing the 76.4% line in Fibonacci of Zigzag1
*Same as Zigzag 1 and Zigzag 2 too.
"Choose Zig Zag Leg for fib" parameter means...
Latest : Calculate Fibonacci based on "the most recent Zigzag line".
Previous : Calculate Fibonacci based on "the previous Zigzag line".
-------------------------
3つのZigzagを元に各High&Lowからフィボナッチを自動で表示するインジケーターです。
Zigzagの期間を工夫することで、マルチタイムフレーム分析に役立ちます。
例えば、以下の設定とした場合:
Zigzag 1 Period … 8
Zigzag 2 Period … 25
Zigzag 3 Period … 100
上位時間足Zigzag(Period=100)の高値安値から形成されるフィボナッチを下位時間足に表示することができるのです。
また、このインジケーターではフィボナッチのポイント毎にアラートの設定が可能です。
上位時間足の割安価格(50%以下)や割高価格(50%以上)に価格が戻ってくるのを待っている時などに力を発揮してくれます。
"Fib 1 - Crossing 0.00" … Zigzag1のフィボナッチにおいて、0%ラインとクロスした場合にアラートを発報します
"Fib 1 - Crossing 100.0" … Zigzag1のフィボナッチにおいて、100%ラインとクロスした場合にアラートを発報します
"Fib 1 - Crossing 23.6" … Zigzag1のフィボナッチにおいて、23.6%ラインとクロスした場合にアラートを発報します
"Fib 1 - Crossing 38.2" … Zigzag1のフィボナッチにおいて、38.2%ラインとクロスした場合にアラートを発報します
"Fib 1 - Crossing 50.0" … Zigzag1のフィボナッチにおいて、50.0%ラインとクロスした場合にアラートを発報します
"Fib 1 - Crossing 61.8" … Zigzag1のフィボナッチにおいて、61.8%ラインとクロスした場合にアラートを発報します
"Fib 1 - Crossing 76.4" … Zigzag1のフィボナッチにおいて、76.4%ラインとクロスした場合にアラートを発報します
※Zigzag1およびZigzag2のフィボナッチも同様
"Choose Zig Zag Leg for fib"パラメータについて:
Latest … 一番新しいZigzagのライン(UpまたはDown)を元にフィボナッチを計算します。
Previous … ひとつ前のZigzagのライン(UpまたはDown)を元にフィボナッチを計算します。
Wavechart v2 ##Wave Chart v2##
For analyzing Neo-wave theory
Plot the market's highs and lows in real-time order.
Then connect the highs and lows
with a diagonal line. Next, the last plot of one day (or bar) is connected with a straight line to the
first plot of the next day (or bar).
TwV Market Signals ScreenerMarket Signals Screener
This indicator allows traders to have a view of multiple pairs and timeframes Long/Short signals and specific information of parameters, based on the TwV Market Signals also developed by me and that can be found on my profile.
Full Screener Panel
This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short). Moreover, allows traders to have handy all information of the TwV Market Signals Indicator that might be analyzed further for each pair. It has the following characteristics:
It can be placed anywhere on the screen through the main menu of the indicator.
It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other.
It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up
The screener shows the pairs, which can be changed within the menus.
The screener shows the Long and Short Signals in its las column but previously, it shows the most critical parameters in the strategies (Market Signals Indicator) that determined the possible Long/Short position. Therefore, the EMAs, STOCH, SQZ, ADX, and TTM, are summarized in the screener for each pair.
For analyzing a specific pair, refer to the the Twv Market Signals Indicator, which is other indicator that might be on my TradingView Profile and that was used as base for the screener.
How to use this indicator and work with the strategies of the TwV Market Signals Indicator
The use of EMAs 10,20 and 50 draw the medium to long term trends, therefore avoiding signals against the trend. Furthermore, the EMAs will advise possible change in trends, especially considering the 10 and 20 cross, considering that crossing the 10,20 and 50, might confirm the change in med to long term trend change of the price. This is completely visual in the chart as it tints green for positive trend and yellow to red for negative trend.
The 200 SMA is included as it also gives better confirmation to the trend, the basics tell that when the EMAs mentioned above are below the 200 SMA then the likelihood for entries in long positions are not the best and vice versa for short.
Therefore, the trader shall filter Long and Short Signals accordingly as this EMAs are not used to send Long and Short signals considering that they confirm the trend in a slow pace and not reactively to the price volatility.
There are two strategies built-in within the indicator:
Strategy 1 – Longer time trades and high volatility handling
The Long and Short Signals are based on 14 and EMAs (by default). This two Mas are used to send signals based on their crossovers as they are way more reactive to the price movement.
Trader shall consider that EMAs are used for higher timeframes, therefore the indicator has the possibility to adjust the EMAs and use SMAs or WMAs instead for one or the two parameters (14 and 21).
WMAs react faster to the price volatility so the trader shall adjust this according to the timeframe being used. (Lower timeframes suggested).
This strategy is used for trades that might keep running for longer periods of times.
For reference on what the SMAs, EMAs and WMAs are, please see below sections in the description.
Strategy 2 - Shorter time trades and unhandled high volatility
The Long and Short Signals are bases on HMA. HMAs (Hull Moving Averages) track the price movement and volatility way faster that SMAs, EMAs and WMAs, therefore as the HMA follow the price quicker, it is intended for short time trades even in higher timeframes.
Scalping is not suggested using this strategy as HMA do not handle high volatility even on higher timeframes.
One of the biggest differences from the first strategy is that there is no more than a single HMA length to work with, which is 24 as default.
HMAs calculation is different to other MAs, therefore combining various HMAs lengths looking for crossovers become trend identification a lot less precise. HMAs are not intended to be used with different length crossovers.
Exit points = The use of Stochastic and VRVP
Stochastic RSI
It is well known that when Stochastic RSI resets when overbought or oversold therefore traders have within a summary box the possibility to check whether the K & D lines in the Stochastic RSI hace crossed over bullish or bearish.
Although the crossover is not mandatory for a change trend, the crossover might be used by the trader to exit a position considering that the price might move on the opposite direction.
Traders shall look at the summary box, where bullish and bearish crossovers are shown, so they evaluate their position exit.
Visible Range Volume Profile
The use of the VRVP is to find support and resistance on the price movements. Although high and lows are used as possible supports and resistances, VRVP shows an area of confluence on the order book, where volume of positions are accumulated and that might act as support or resistance depending on the price direction.
Traders can visually activate the VRVP to see the Point of Control (POC) directly on the chart as a line (similar as how a support or resistance would be drawn). Moreover, traders have the ability to see within the summary box, whether to see if the price is above or below the POC, so they clearly know if it is acting as support or resistance.
Price Direction
Trade the market trend is well known to be used to identify possible price direction. It is important not to confuse the longer time trend drawn by the EMAs with the TTM Trend bar color. The TTM trend colors bars according to the price direction, helping traders not to confuse when a red bar appears on an uptrend or green bars on a down trend.
This coloring helps traders not to exit trades based on bar coloring, which might psychologically affect when scalping or short-term trading specially.
Originally, the TTM trend is used considering the ADX in and indicator called TTM Squeeze, where the strength of the movement is measured, therefore although candle colors help with the price direction, ADX provides the trader the ability to see whether the direction is losing momentum and then catch the best possible exit before the direction change.
Terminology basics
Trend indicators
Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 10, 20 and 55 exponential periods, to determine a possible bullish or bearish trend (EMA Crossing)
Simple Moving Average (SMA): The base indicator is composed of a moving average of 200 simple periods, which in conjunction with the EMAs can lead to estimate potential upward or downwards moves, as well as possible resistances. (SMA Positioning)
Weighted moving average (WMA): It is a technical indicator that traders use to generate trade direction and make a long or short position. It assigns greater weighting to recent data points and less weighting on past data points. (WMA Crossing)
Strength and S/R indicators
VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance. The POC level is represented with a red dotted line in the graph.
The VPVR is a simplified version of the “TwV Multi-timeframe Dynamic VRVP” that you can find for free use in my profile. This version calculates the main’s timeframe POC and also has the possibility to be fixed range if the trader enables it from the menu. (Dynamic range by default).
ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend strength. This is represented as summary text in a table.
/
Exit indicator
Stochastic RSI: It is an indicator used in technical analysis that ranges between zero and a hundred and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold (Exit zones)
/
How to use Summary
1. Receive the Long or Short Signals using strategy 1 or 2, depending on the selected in the main menu of the indicator.
2. Evaluate the trend based on the 10,20, 50 and 200 MAs. Filter the Long and Short signals accordingly.
3. Monitor constantly the TTM Trend and the ADX for the direction and strength of the position entered and review if the momentum is being lost, considering step 4 or other possible reasons that might lead to exiting the position.
4. Once entered to a position evaluate constantly the Stochastic RSI bearish or bullish crossover or POC value on screen or summary box to exit the position.
5. Consider that for doing the evaluation individually, you shall use the TwV Market Signals.
Laguerre Stochastic | AdulariDescription:
The Laguerre Stochastic is similar to a 4-period regular Stochastic, except that a Laguerre transform has been applied for price smoothing. The Laguerre transform is a mathematical technique that allows smooth indicators to be built using small amounts of data.
How do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
When the value is above the middle line this shows the bullish trend is strong.
When the value is below the middle line this shows the bearish trend is strong.
When the value crosses above the upper line this indicates the trend may reverse downwards.
When the value crosses below the lower line this indicates the trend may reverse upwards.
When the value crosses above the signal this indicates the current bearish trend is getting weak and may reverse upwards.
When the value crosses below the signal this indicates the current bullish trend is getting weak and may reverse downwards.
Features:
Oscillator value indicating the difference between highs and lows fractioned by the close price.
%D value acting as a smoothed version of the %K.
Horizontal lines such as oversold, overbought and middle lines, indicating possible interest zones.
How does it work?
1 — Calculate regular Stochastic value.
2 — Apply the Laguerre transform.
3 — Calculate %D value by applying smoothing to the %K value.
TOTAL:(RSI+TSI)TOTAL:(RSI+TSI)
This indicator collects instant data of RSI and TSI oscillators. RSI moves between (0) and (100) values as a moving line, while TSI moves between (-100) and (+100) values as two moving lines.
The top value of the sum of these values is graphically;
It takes the total value (+300) from RSI (+100), TSI (+100) and (+100).
The lowest value of the sum of these values is graphically;
It takes the value (-200) from the RSI (0), (-100) and (-100) from the TSI.
In case this indicator approaches (+300) graphically; It can be seen that price candlesticks mostly move upwards. This may not always give accurate results. Past incompatibilities can affect this situation.
In case this indicator approaches (-200) graphically; It can be seen that price candlesticks mostly move downwards. This may not always give accurate results. Past incompatibilities can affect this situation.
The graphical movements and numerical values created by this indicator do not give precise results for price candles.
The Zig Zag Leveler IndicatorThis indicator is designed to identify potential trade setups in the market using the ZigZag indicator. It uses a combination of the ZigZag indicator and the background fill color to help identify areas of support and resistance. It also uses a pip offset to help with entries and exits. Additionally, it can generate alert conditions when the market direction changes and when a buy or sell signal is generated. This indicator can be used to help identify potential trade setups and can be customized to fit the user's trading strategy.
This indicator takes the guesswork out of trading by providing traders with an array of signals that can help identify entry and exit points. The indicator uses two sets of signals to identify price levels that indicate potential entry and exit points - one set of signals that indicate potential entry points and another set of signals that indicate potential exit points. The indicator also provides traders with a visual representation of the signals that can help them better understand the signals and make informed trading decisions. With this indicator, traders can have a better understanding of the market and have a better chance of making profitable trades.
The Zig Zag Leveler Strategy 1This indicator is designed to identify potential trade setups in the market using the ZigZag indicator. It uses a combination of the ZigZag indicator and the background fill color to help identify areas of support and resistance. It also uses a pip offset to help with entries and exits. Additionally, it can generate alert conditions when the market direction changes and when a buy or sell signal is generated. This indicator can be used to help identify potential trade setups and can be customized to fit the user's trading strategy.
This indicator takes the guesswork out of trading by providing traders with an array of signals that can help identify entry and exit points. The indicator uses two sets of signals to identify price levels that indicate potential entry and exit points - one set of signals that indicate potential entry points and another set of signals that indicate potential exit points. The indicator also provides traders with a visual representation of the signals that can help them better understand the signals and make informed trading decisions. With this indicator, traders can have a better understanding of the market and have a better chance of making profitable trades.
Multi-Timeframe MA Based Zigzag[liwei666]🎲 Overview
🎯 This Zigzag indicator build based on different MA such as EMA/HMA/RMA/SMA, support multi-timeframe setting .
you can get customer zigzag indicator by change short/long ma length and high-timeframe config(5m/15m/30m/1h/2h) in any symbol.
🎲 Indicator design logic
🎯 entired logic is simple and code looks complex, I‘ll explain core logic here, code already equipped with detailed comments.
1. use close-in EMA's highest/lowest value mark as SWING High/Low when EMA crossover/under, not use func ta.pivothigh()/ta.pivotlow()
2. when EMA crossover/under plot a char as signal like ●/❄/▲, crossover get blue char crossunder get red char
3. latest zigzag line is not drawn until EMA is turned (crossover/under), but signal is realtime
4. you can see diff zigzag structure when you open high-timeframe config, then find regular pattern benefit your trading.
🎲 Settings
🎯 there are 3 group properties in script, just focus on 5 properties in 'GRP1' ,
'GRP2' and 'GRP3' are display config.
'GRP1':
MA_Type: MA type you can choose(EMA/RMA/SMA/HMA/WMA), default is EMA
short_ma_len: short MA length of your current timeframe on chart
long_ma_len: long MA length of your current timeframe on chart
htf_ma_len: MA length of high timeframe, MA type same as 'MA_Type' config
htf_ma_tf: high timeframe ma length, 15/30/60/120 minute
'GRP2':
• show_short_zz • show_long_zz • show_htf_zz:
'GRP3':
• show_short_ma_line • show_short_ma_signal
• show_long_ma_line • show_long_ma_signal
• show_htf_ma_line • show_htf_ma_signal
🎲 Usage
🎯 As we know, MA based signal usually worked fine in trend market , low volatility is unprofitable.
🎯 One of pattern as the chart show below.
1. success example : after a blue ▲ signal, entry long when blue ● signal appear, marked with green box.
2. failed example: after a blue ▲ signal, a red ▼ signal appear, marked with white box.
🎯 BoS(Break of Structure) based on ma zigzag is a good idea I'm implementing, it will be published in next script.
Additionally, I plan to publish 20 profitable strategies in 2023; this indicatior not one of them,
let‘s witness it together!
Hope this indicator will be useful for you :)
enjoy! 🚀🚀🚀
Markets vs Inflation [x7.am]Markets vs Inflation(CPI US) also known as Inflation-Adjusted Return.
The inflation-adjusted return is the measure of return that takes into account the time period's inflation rate. The purpose of the inflation-adjusted return metric is to reveal the return on an investment after removing the effects of inflation.
Removing the effects of inflation from the return of an investment allows the investor to see the true earning potential of the security without external economic forces. The inflation-adjusted return is also known as the real rate of return or required rate of return adjusted for inflation. It is a more accurate measure of investment performance than the nominal rate of return.
The inflation-adjusted return accounts for the effect of inflation on an investment's performance over time.
Also known as the real return, the inflation-adjusted return provides a more realistic comparison of an investment's performance.
Inflation will lower the size of a positive return and increase the magnitude of a loss.
Assume you have saved $10,000 to buy a car but decide to invest the money for a year before buying to ensure that you have a small cash cushion left over after getting the car. Earning 5% interest, you have $10,500 after 12 months. However, because prices increased by 3% during the same period due to inflation, the same car now costs $10,300.
Consequently, the amount of money that remains after you buy the car—which represents your increase in purchasing power—is $200, or 2% of your initial investment. This is your real rate of return, as it represents the amount that you gained after accounting for the effects of inflation.
Markets vs Inflation indicators use in 1 months interval
SP:SPX , INDEX:BTCUSD , TVC:GOLD , TVC:DJI
ZigCycleBarCount [MsF]Japanese below / 日本語説明は英文の後にあります。
Based on "ZigZag++" indicator by DevLucem. Thanks for the great indicator.
-------------------------
This indicator that displays the candle count (bar count) at the peaks of Zigzag .
It also displays the price of the peaks.
You can easily count candles (bars) from peak to peak. Helpful for candles (bars) in cycle theory.
This logic of the indicator is based from the mt4 zigzag indicator .
Parameter:
Depth = depth (price range)
Backstep = Period
Deviation = Percentage of how much the price has wrapped around the previous line.
Example:
Depth = 12
Backstep = 3
Deviation = 5
In this case, the price range is updated by 12 pips or more (Depth), and after 3 or more candlesticks line up (Backstep), if the price deviates from the previous line by 5% or more (Deviation), a peak is added.
-------------------------
Zigzagの頂点にローソクカウント(バーカウント)を表示するインジケータです。
頂点の価格も表示します。
頂点から頂点までのローソク(バー)を容易にカウントすることができます。
サイクル理論のローソク(バー)に役立ちます。
Zigzagロジック自体はMT4のzigzagインジケータを流用しています。
<パラメータ>
Depth=深さ(値幅)
Backstep=期間
Deviation=価格がどれだけ直前のラインの折り返したかの割合
例:
Depth=12
Backstep=3
Deviation=5
この場合、値幅を12pips以上更新し(Depth)、ローソク足が3本以上並んだ後(Backstep)、価格が直前のラインの5%以上折り返せば(Deviation)、頂点を付けます。
<表示オプション>
Label_Style = "TEXT"…テキスト表示、"BALLOON"…吹き出し表示
ABC_caluculator for Ichimoku Kinko Hyo(IKH) usersThis tool is using for calculating Target Value(N,V,E prices) by only clicking on a chart.
There is several points which makes it better.
Decrease the number of times of clicking.
Calculator needs a reset button, it's like loop structure. Push the reset and function again.
Plot percentages which it compare closing price and Target Value(N,V,E prices) on a chart.
Plot loss cut points from evaluating risk/returns.
My question is also written down precisely here !!!!!
↓
stackoverflow.com
Channel Based Zigzag [HeWhoMustNotBeNamed]🎲 Concept
Zigzag is built based on the price and number of offset bars. But, in this experiment, we build zigzag based on different bands such as Bollinger Band, Keltner Channel and Donchian Channel. The process is simple:
🎯 Derive bands based on input parameters
🎯 High of a bar is considered as pivot high only if the high price is above or equal to upper band.
🎯 Similarly low of a bar is considered as pivot low only if low price is below or equal to lower band.
🎯 Adding the pivot high/low follows same logic as that of regular zigzag where pivot high is always followed by pivot low and vice versa.
🎯 If the new pivot added is of same direction as that of last pivot, then both pivots are compared with each other and only the extreme one is kept. (Highest in case of pivot high and lowest in case of pivot low)
🎯 If a bar has both pivot high and pivot low - pivot with same direction as previous pivot is added to the list first before adding the pivot with opposite direction.
🎲 Use Cases
Can be used for pattern recognition algorithms instead of standard zigzag. This will help derive patterns which are relative to bands and channels.
Example: John Bollinger explains how to manually scan double tap using Bollinger Bands in this video: www.youtube.com This modified zigzag base can be used to achieve the same using algorithmic means.
🎲 Settings
Few simple configurations which will let you select the band properties. Notice that there is no zigzag length here. All the calculations depend on the bands.
With bands display, indicator looks something like this
Note that pivots do not always represent highest/lowest prices. They represent highest/lowest price relative to bands.
As mentioned many times, application of zigzag is not for buying at lower price and selling at higher price. It is mainly used for pattern recognition either manually or via algorithms. Lets build new Harmonic, Chart patterns, Trend Lines using the new zigzag?
Fixed Quantum VectorSelect a zone to analyse the vectors.
This screener show the ratio of the bullish and bearish candle vector and on volume.
Slide the white bar to choose your sample size or you can enter the date.
Click label to hide start calculation and end calculation.
- Happy trading
BIAS NotesUsage: This indicator allows you to note on your desired pair what is the current state of the trends.
!! How to use: You have to input the values for each table case to your desire in the indicator settings. !!
With this indicator you can note :
-what is the timeframe Bias
-which supply or demand we`ve just hit
I use this as a tool for my analysis with Insitutional Orderflow/SMC (Smart Money Concepts).
HLC3_ZThis indicator uses a single price point for each session (HLC3 by default) to draw waves.
This helps to filter out small or high frequency fluctuation in the price, and focus on the trend.
There are also options to display cumulative volume for each wave, or to overlay the price source to draw the wave on the chart.
I find using this indicator helps with finding the wave structures or the head or bottom structures such as head-and-shoulder.
Moving Average Based Zig ZagMoving Average Based Zig Zag differs from the traditional Zig Zag indicator in that pivot points are determined by a moving average, Volume Weighted Hull Moving Average, rather than looking for the highest or lowest point in a left / right period.
Settings
Source: the source for the pivot points.
Moving Average Length: the length of the Volume Weighted Hull Moving Average, increase for longer zig zags, decrease for shorter zig zags.
Usage
Like all Zig Zag indicators, the Moving Average Based Zig Zag is not intended to be used as a live trading tool. This indicator is intended to be an alternative way of determining pivot points on your chart. Pivot points can be used for a multitude of different analytical techniques. One may use pivot points in order to draw potential support and resistance lines, trend lines or chart patterns. Additionally, pivot points can be used to determine variations of highs and lows important to market structure analysis such as break of structure or change of character.
Details
The moving average used is a Volume Weighted Hull Moving Average, this particular moving average was used due to it's relatively low-lag characteristics when compared to an Exponential Moving Average, additionally by considering volume in the moving average calculation, insignificant pivot points can be further filtered.
Rather than using built-in functions `ta.pivothigh()` and `ta.pivotlow()` to determine pivot points, this indicator waits for the moving average to pivot then searches for the highest or lowest value from the bar index of the moving average pivot to the bar index of the previous found price pivot. This method of determining pivots provides a more dynamic approach to determining pivot points.
Wave Fusion By CryptoScriptsThe Wave Fusion indicator is finally here! This indicator is a combination of the Wave Strength Oscillator and RSVP Extractor. It used a combination of momentum waves, volume, price, RSI, and statistical analysis to help nail down whenever the current price is overextended and due for a reversal. I'm currently using the 1D timeframe for BTC but feel free to experiment on different timeframes to see what works best for you. In the description below, I'll go over each signal, how it's derived, and how to use them!
Oversold (Green shaded area) - The oversold indication appears whenever all oscillators are oversold and is usually a good indicator that a reversal to the upside is around the corner (at least for a short period). Be advised these are the weakest of the three signals so I recommend using this signal with other indicators (such as my MFI Pro).
Overbought (Red shaded area) - The overbought indication appears whenever all oscillators are overbought and is usually a good indicator that a reversal to the downside is around the corner (at least for a short period). Be advised these are the weakest of the three signals so I recommend using this signal with other indicators (such as my MFI Pro).
Green Diamond - The green diamonds indicate whenever one or more oscillators are oversold AND one or more oscillators are outside of the bollinger bands, which is great for catching reversals to the upside. These may come two or three at a time so it may be best to wait until they have all printed before entering.
Red Diamond - The red diamonds indicate whenever one or more oscillators are overbought AND one or more oscillators are outside of the bollinger bands which is great for catching reversals to the downside (as seen in the chart). These may come two or three at a time so it may be best to wait until they have all printed before entering.
Rocket - The rocket symbol occurs whenever ALL oscillators are oversold and one or more oscillators are outside of the bollinger bands . This is great for catching reversals to the upside but may come two or three at a time so it may be best to wait until they have all printed before entering.
Red Alarm - The red alarm symbol occurs whenever ALL oscillators are overbought and one or more oscillators are outside of the bollinger bands . This is great for catching reversals to the downside but may come two or three at a time so it may be best to wait until they have all printed before entering.
Moon - The Moon symbol occurs whenever ALL oscillators are oversold and ALL oscillators are outside of the bollinger bands . This is great for catching reversals to the upside but may come two or three at a time so it may be best to wait until they have all printed before entering.
Blood Moon - The red alarm symbol occurs whenever ALL oscillators are overbought and ALL oscillators are outside of the bollinger bands . This is great for catching reversals to the downside but may come two or three at a time so it may be best to wait until they have all printed before entering.
Strongest to Weakest Buy Signals - Moon --> Rocket --> Green Diamond --> Green Shaded Area
Strongest to Weakest Sell Signals - Blood Moon --> Red Alarm --> Red Diamond --> Red Shaded Area
Input Options
Show Histogram - I also included a Histogram in the indicator to help gauge the level of buys/sell strength but kept it hidden for the default levels (i.e a green diamond with a red histogram bar is usually a good sign a reversal is about to happen to the upside whereas a green diamond with a green histogram bar may indicate a false reversal and there's still more room to the downside until a red bar appears. Always backtest this!)
Show Overbought/Oversold Levels - This is if you want to ignore all of the green/red shaded areas and only focus on the diamonds and rocket/alarm signals
Wave Overbought/Oversold Levels - Free free to change to value of the overbought/oversold levels to change where the green/red shades areas print
Momentum Overbought/Oversold Levels - Free free to change to value of the overbought/oversold levels to change where the green/red shades areas print
Histogram Length - This will not change anything with the signals but I included it so you can change the visuals if it helps you
Momentum Length - This will change where the signals plot
Momentum Signal - This only changes the yellow signal line and nothing else. It's not incorporated into any equation
Average Length - This will change where the signals plot
Alerts
I've set alerts on this indicator for each icon (Oversold, Overbought, Green Diamond, Red Diamond, Rocket, Red Alarm, Moon , Blood Moon). I HIGHLY recommend setting the alerts for Candle Close so that you can be sure the signal is confirmed.
You may notice that the indicator can give multiple signals back-to-back or be overbought/oversold for multiple candles. When this happens, it's best to look at other indicators such as the MFI Pro, MACD, etc to nail the best entry and have confluence with your decision. With that said, having multiple signals back-to-back can also be an indication that the move is close to happening. This indicator works with crypto and stocks as well.
If you have any questions or would like to purchase this indicator, please comment below or PM me. I also made a video tutorial for the indicator on my Youtube channel (link is next to my profile pic)
Be advised past performance is not indicative of future returns. Backtest EVERY timeframe and NEVER blindly take signals! Also, never invest more than you can afford to lose.
Enjoy :)
Bitcoin Long Time Cycle Detection (RGB Box)Hi!
I tried to analyze bitcoin's cycles since the beggining at INDEX:BTCUSD (on 1D timeframe) using some tools like Moving Averages and Ichimoku Cloud and Fibonacci Levels based on ATH prices of each cyle. Each cycle type is represented by colors:
1- Green is when the price is going to have a new ATH compared to the last ATH
2- Red is when the price is going to move down from the last ATH
3- Blue is when the price seems not going down anymore and moving up go get to the last ATH
The result is very interesting because each cycle has similar behaviours. The Main cycle is when there is a Green, Red and Blue and then there will be a Green again for the new cycle.
Logic of detecting Red part some times makes a Red between two Green s (which is normal but it makes a bit difference in the behaviour of the last part of that shorter Red part) so the valuable part is the Blue !
You can see the interesting noticable similarity of the Blue 's price movement and duration (written in the boxes).
What I understood from this model about each part was:
In the Greens, strongest candles of the whole market appear with higher volumes. which are the shortest parts too.
in the Reds, we see a lot of hammer candles here, price moves down step by step (unless it is going to have a NEW ATH which makes the duration of Red part vert shorter than the main Red parts before the Blue). Temporary resistances make some range channels but finally the price will go down a lot!
in the Blues, the main weak uptrend from the bottom which is finally going to see its last ATH price, but very slowly and weakly compared to the Green part. Some times there will be a lot of temporary downtrends too but in the end, price is going up. this part maybe the best time to buy for long time holding.
What makes this model interesting is that cycles match fundamental events like HALVING and periodic cycle analyses based on that.
In the last cylce we haven't seen the Blue Signal yet! so there should be alot of more patient till we say there will be no more down.
I hope it gives you more insight on the long term trend of crypto. I would be glad to hear your ideas to improve the model.
Wavetrend in Dynamic Zones with Kumo Implied VolatilityI was asked to do one of those, so here we go...
As always free and open source as it should be. Do not pay for such indicators!
A WaveTrend Indicator or also widely known as "Market Cipher" is an Indicator that is based on Moving Averages, therefore its an "lagging indicator". Lagging indicators are best used in combination with leading indicators. In this script the "leading indicator" component are Daily, Weekly or Monthly Pivots . These Pivots can be used as dynamic Support and Resistance , Stoploss, Take Profit etc.
This indicator combination is best used in larger timeframes. For lower timeframes you might need to change settings to your liking.
The general Wavetrend settings are the same that are used in Market Cipher, Market Liberator and such popular indicators.
What are these circles?
-These are the WaveTrend Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What are these white, orange and aqua triangles?
-These are the WaveTrend Pivots. A Pivot counter was added. Every time a pivot is lower than the previous one, an orange triangle is printed, every time a pivot is higher than the previous one an aqua triangle is printed. That mimics a very common way Wavetrend is being used for trading when using those other paid Wavetrend indicators.
What are these Orange and Aqua Zones?
-These are Dynamic Zones based on the indicator itself, they offer more information than static zones. Of course static lines are also included and can be adjusted.
What are the lines between the waves?
-This is a Kumo Cloud Implied Volatility indicator. It is color coded and can be used to indicate if a major market move/bottom/top happened.
What are those numbers on the right?
-The first number is a Bollinger Band indicator that shows if said Bollinger Band is in a state of Oversold/Overbought, the second number is the actual Bollinger Band Width that indicates if the Bollinger Band squeezes, normally that happens right before the market makes an explosive move.
Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
WaveTrend 3D█ OVERVIEW
WaveTrend 3D (WT3D) is a novel implementation of the famous WaveTrend (WT) indicator and has been completely redesigned from the ground up to address some of the inherent shortcomings associated with the traditional WT algorithm.
█ BACKGROUND
The WaveTrend (WT) indicator has become a widely popular tool for traders in recent years. WT was first ported to PineScript in 2014 by the user @LazyBear, and since then, it has ascended to become one of the Top 5 most popular scripts on TradingView.
The WT algorithm appears to have origins in a lesser-known proprietary algorithm called Trading Channel Index (TCI), created by AIQ Systems in 1986 as an integral part of their commercial software suite, TradingExpert Pro. The software’s reference manual states that “TCI identifies changes in price direction” and is “an adaptation of Donald R. Lambert’s Commodity Channel Index (CCI)”, which was introduced to the world six years earlier in 1980. Interestingly, a vestige of this early beginning can still be seen in the source code of LazyBear’s script, where the final EMA calculation is stored in an intermediate variable called “tci” in the code.
█ IMPLEMENTATION DETAILS
WaveTrend 3D is an alternative implementation of WaveTrend that directly addresses some of the known shortcomings of the indicator, including its unbounded extremes, susceptibility to whipsaw, and lack of insight into other timeframes.
In the canonical WT approach, an exponential moving average (EMA) for a given lookback window is used to assess the variability between price and two other EMAs relative to a second lookback window. Since the difference between the average price and its associated EMA is essentially unbounded, an arbitrary scaling factor of 0.015 is typically applied as a crude form of rescaling but still fails to capture 20-30% of values between the range of -100 to 100. Additionally, the trigger signal for the final EMA (i.e., TCI) crossover-based oscillator is a four-bar simple moving average (SMA), which further contributes to the net lag accumulated by the consecutive EMA calculations in the previous steps.
The core idea behind WT3D is to replace the EMA-based crossover system with modern Digital Signal Processing techniques. By assuming that price action adheres approximately to a Gaussian distribution, it is possible to sidestep the scaling nightmare associated with unbounded price differentials of the original WaveTrend method by focusing instead on the alteration of the underlying Probability Distribution Function (PDF) of the input series. Furthermore, using a signal processing filter such as a Butterworth Filter, we can eliminate the need for consecutive exponential moving averages along with the associated lag they bring.
Ideally, it is convenient to have the resulting probability distribution oscillate between the values of -1 and 1, with the zero line serving as a median. With this objective in mind, it is possible to borrow a common technique from the field of Machine Learning that uses a sigmoid-like activation function to transform our data set of interest. One such function is the hyperbolic tangent function (tanh), which is often used as an activation function in the hidden layers of neural networks due to its unique property of ensuring the values stay between -1 and 1. By taking the first-order derivative of our input series and normalizing it using the quadratic mean, the tanh function performs a high-quality redistribution of the input signal into the desired range of -1 to 1. Finally, using a dual-pole filter such as the Butterworth Filter popularized by John Ehlers, excessive market noise can be filtered out, leaving behind a crisp moving average with minimal lag.
Furthermore, WT3D expands upon the original functionality of WT by providing:
First-class support for multi-timeframe (MTF) analysis
Kernel-based regression for trend reversal confirmation
Various options for signal smoothing and transformation
A unique mode for visualizing an input series as a symmetrical, three-dimensional waveform useful for pattern identification and cycle-related analysis
█ SETTINGS
This is a summary of the settings used in the script listed in roughly the order in which they appear. By default, all default colors are from Google's TensorFlow framework and are considered to be colorblind safe.
Source: The input series. Usually, it is the close or average price, but it can be any series.
Use Mirror: Whether to display a mirror image of the source series; for visualizing the series as a 3D waveform similar to a soundwave.
Use EMA: Whether to use an exponential moving average of the input series.
EMA Length: The length of the exponential moving average.
Use COG: Whether to use the center of gravity of the input series.
COG Length: The length of the center of gravity.
Speed to Emphasize: The target speed to emphasize.
Width: The width of the emphasized line.
Display Kernel Moving Average: Whether to display the kernel moving average of the signal. Like PCA, an unsupervised Machine Learning technique whereby neighboring vectors are projected onto the Principal Component.
Display Kernel Signal: Whether to display the kernel estimator for the emphasized line. Like the Kernel MA, it can show underlying shifts in bias within a more significant trend by the colors reflected on the ribbon itself.
Show Oscillator Lines: Whether to show the oscillator lines.
Offset: The offset of the emphasized oscillator plots.
Fast Length: The length scale factor for the fast oscillator.
Fast Smoothing: The smoothing scale factor for the fast oscillator.
Normal Length: The length scale factor for the normal oscillator.
Normal Smoothing: The smoothing scale factor for the normal frequency.
Slow Length: The length scale factor for the slow oscillator.
Slow Smoothing: The smoothing scale factor for the slow frequency.
Divergence Threshold: The number of bars for the divergence to be considered significant.
Trigger Wave Percent Size: How big the current wave should be relative to the previous wave.
Background Area Transparency Factor: Transparency factor for the background area.
Foreground Area Transparency Factor: Transparency factor for the foreground area.
Background Line Transparency Factor: Transparency factor for the background line.
Foreground Line Transparency Factor: Transparency factor for the foreground line.
Custom Transparency: Transparency of the custom colors.
Total Gradient Steps: The maximum amount of steps supported for a gradient calculation is 256.
Fast Bullish Color: The color of the fast bullish line.
Normal Bullish Color: The color of the normal bullish line.
Slow Bullish Color: The color of the slow bullish line.
Fast Bearish Color: The color of the fast bearish line.
Normal Bearish Color: The color of the normal bearish line.
Slow Bearish Color: The color of the slow bearish line.
Bullish Divergence Signals: The color of the bullish divergence signals.
Bearish Divergence Signals: The color of the bearish divergence signals.
█ ACKNOWLEDGEMENTS
@LazyBear - For authoring the original WaveTrend port on TradingView
@PineCoders - For the beautiful color gradient framework used in this indicator
@veryfid - For the inspiration of using mirrored signals for cycle analysis and using multiple lookback windows as proxies for other timeframes
Super Synchronicity x Musa MoneyThe goal of this indicator is to display a simple and easy method that gives traders a logical strategy that can be applied in many different ways.
This indicator uses fractal support and resistance created by close above or close below candle structures. This indicator displays sell/buy boxes that represents entries and take profit levels. It also shows multi-timeframe breakouts and structure points. In an buy box (green) the bottom of the box symbolizes the stop loss and the top of the box symbolizes the buy entry. In a sell box (red) the bottom of the box symbolizes the entry and the top of the box symbolizes the stop loss. The lines drawn are support and resistance areas on current and higher timeframe showing market structure and trend.
How to use it:
You must choose a higher timeframe and a lower timeframe. The lower timeframe will be in synchronicity with the higher timeframes trend. The boxes that appear will either be green or red depending on the higher timeframes trend. These boxes will represent your entries. The lavender boxes represents your exit. The dark colored boxes represents a higher probability trade than the light colored boxes bases on market structure (higher highs and higher lows or lower higher and lower lows).