Relative Strength Scoring SystemRelative Strength Scoring System :
Important prerequisite :
This indicator can be loaded on any forex chart, i.e. a currency pair, but must not be loaded on any other asset due to certain market closures.
The chart timeframe must be less than or equal to the trading timeframe, which is the indicator's first parameter. A timeframe equal to that of the "Trading Timeframe" parameter is preferable.
Introduction :
This indicator measures the relative strength of a currency against all other currencies using spread formulas. It gives an indication of which currencies are bullish, neutral or bearish. The ultimate aim of this indicator is to find out which pair will generate a higher probability of gain than the others by pairing the most bullish pair with the most bearish pair.
Spread formulas :
To find the relative strength of a currency compared with others, we use the following spreads formulas :
USD = (FX:USDJPY/100+SAXO:USDEUR+FX:USDCHF+SAXO:USDGBP+FX:USDCAD+SAXO:USDAUD+FX_IDC:USDNZD)/7
JPY = (SAXO:JPYUSD/100+FX_IDC:JPYAUD/100+FX_IDC:JPYCAD/100+FX_IDC:JPYNZD/100+FX_IDC:JPYCHF/100+SAXO:JPYEUR/100+FX_IDC:JPYGBP/100)/7
CHF = (FX:CHFJPY/100+SAXO:CHFUSD+SAXO:CHFEUR+FX_IDC:CHFGBP+FX_IDC:CHFCAD+SAXO:CHFAUD+FX_IDC:CHFNZD)/7
EUR = (FX:EURJPY/100+FX:EURUSD+FX:EURCHF+FX:EURGBP+FX:EURCAD+FX:EURAUD+FX:EURNZD)/7
GBP = (FX:GBPJPY/100+FX:GBPUSD+FX:GBPCHF+SAXO:GBPEUR+FX:GBPCAD+FX:GBPAUD+FX:GBPNZD)/7
CAD = (FX:CADJPY/100+SAXO:CADUSD+FX:CADCHF+FX_IDC:CADGBP+SAXO:CADEUR+FX_IDC:CADAUD+FX_IDC:CADNZD)/7
AUD = (FX:AUDJPY/100+FX:AUDUSD+FX:AUDCHF+SAXO:AUDGBP+FX:AUDCAD+SAXO:AUDEUR+FX:AUDNZD)/7
NZD = (FX:NZDJPY/100+FX:NZDUSD+FX:NZDCHF+SAXO:NZDGBP+FX:NZDCAD+SAXO:NZDAUD+SAXO:NZDEUR)/7
CRYPTO = (BITSTAMP:BTCUSD+BITSTAMP:ETHUSD+BITSTAMP:LTCUSD+BITSTAMP:BCHUSD)/4
Timeframes :
As mentioned in the prerequisites, the chart timeframe must not be greater than the trading timeframe. The latter corresponds to the timeframe chosen by the trader to enter a position, and is the indicator's first parameter. Once this has been chosen, the algorithm selects the timeframes of the "Trend" and "Velocity" charts. Here's how it allocates them :
Trading TF => ("Velocity TF", "Trend TF")
"5min" => ("15min ", "60min")
"15min" => ("60min ", "4h")
"30min" => ("2h ", "8h")
"60min" => ("4h ", "12h")
"4h" => ("12h", "1D")
"6h" => ("1D", "3D")
"8h" => ("1D", "4D")
"12h" => ("2D", "1W")
"1D" => ("3D", "1W")
Trend Scoring System :
When the timeframe of the trend graph has been allocated, the algorithm will establish this graph's score using three criteria :
Trend chart pivot points: if the last two pivots, high and low, are increasing, the score is 1; if they are decreasing, the score is -1; else the score is 0.
SMA: if its slope is increasing with a candle strictly above the SMA value, the score is 1; if its slope is decreasing with a candle strictly below it, the score is -1; otherwise, it is 0.
MACD: if the MACD is positive, the score is 1, if it is negative, the score is -1; else it's 0.
We then sum the scores of these three criteria to find the trend score.
Velocity Scoring System :
In the same way, we analyze the score of the "velocity" graph with its corresponding timeframe using three criteria :
The EMA: if its slope is increasing with a candle strictly above the EMA value, the score is 1; if its slope is decreasing with a candle strictly below it, the score is -1; otherwise, it is 0.
The RSI: if the RSI's EMA has an increasing slope with an RSI strictly greater than the value of this EMA, the score is 1; and if the RSI's EMA has a decreasing slope with an RSI strictly less than this EMA, the score is -1; otherwise it is 0.
SAR parabolic: if the SAR is below the price, the score is 1; if it is above the price, the score is -1.
We then sum the scores of these three criteria to find the velocity score.
Relative Strength Scoring System :
Once the trend score and velocity score have been calculated, we determine the relative strength score of each currency using the following algorithm :
If trend score >=2 and velocity score >=2, the currency is bullish.
If trend score <=2 and velocity score <=2, currency is bearish
If (trendScore>=2 or velocityScore>=2) and (trendScore=1 or velocityScore=1) the currency is not yet bullish
If (trendScore<=2 or velocityScore<=2) and (trendScore=-1 or velocityScore=-1) the currency is not yet bearish.
Otherwise the currency is neutral
Parameters :
Trading Timeframe: the trading timeframe chosen by the trader for which he makes his position entry and exit decisions. Default is 1h
Pivot Legs: Parameter used for the chart "Trend" setting the pivot strength to the right and left of high/low. Default is 2
SMA Length: SMA length of the chart "Trend". Default is 20
MACD Fast Length: Length of the MACD fast SMA calculated on the chart "Trend". Default is 12
MACD Slow Length: Length of the MACD slow SMA calculated on the chart "Trend". Default is 26
MACD Signal Length: Length of the MACD signal SMA calculated on the chart "Trend". Default is 9
EMA Length: EMA length of the "Velocity" graph. Default is 13
RSI Length: RSI length of the "Velocity" graph. Default is 14
RSI EMA Length: Length of the RSI EMA. Default is 9
Parabolic SAR Start: Start of the SAR parabola in the "Velocity" graph. Default is 0.02
Parabolic SAR Increment: Increment of the SAR parabola in the "Velocity" graph. Default is 0.02
Parabolic SAR Max: Maximum of the SAR parabola in the "Velocity" graph. Default is 0.2
Conclusion :
This indicator has been designed to determine the relative strength of the major currencies against each other. The aim is to know which pair to trade at the right time in order to maximize the probability of a successful trade. For example, if the USD is bullish and the NZD bearish, we'll short the NZDUSD pair.
Enjoy this indicator and don't forget to take the trade ;)
Titik pangsi dan tahap
3 Pivots Interpolation BreakoutsI designed the '3 Pivots Interpolation Breakouts' indicator to intuitively identify breakout opportunities using pivot points. This tool stems from my need to anticipate market direction and capitalize on breakouts. It uses a line interpolated from three pivot highs or lows to forecast upcoming breakouts. This offers a straightforward way to visualize potential bullish and bearish breakouts with color-coded extrapolations. The aim is to simplify breakout detection, enhancing your trading strategy with precise, actionable insights.
Pivot Extremes BreakoutI created the "Pivot Extremes Breakout" (PEB) indicator to easily spot breakout zones using pivot points. This tool comes from my need to anticipate market direction and capitalize on breakouts. PEB uses the last two pivot points to predict price paths and highlights potential breakout areas, adjusting for any timeframe. It simplifies seeing where the market might move next with color-coded lines and zones, aiming to improve your trading decisions.
[Spinn] All Time High MonitorThis indicator is made in addition to the free |Spinn| All Time High indicator (here's the link: click ). With this Monitor, you can see the status of a large number of coins at once and choose a coin for analysis, while with the second indicator, you can analyze the chart of the selected coin.
Definitions
For simplification, in the following text, I will refer to the price movement from one value to another, expressed in percentages and/or multiples, as "distance".
ATH - All Time High
Low - the minimum reached after the ATH
Price - current price
Last Dump - distance from ATH to Low
Potential Growth - distance from Price to ATH
The indicator displays a table with the names of the coins. For each coin, you can see the distance from Price to ATH, and the distance from ATH to Low.
Since it is impossible to process more than forty coins in one indicator, the table contains up to forty coins (plus you can see the current coin). However, you can make several copies of the indicator and monitor up to nine tables simultaneously on one chart in different parts of the screen - that's more than three hundred coins. By the way, to prevent the current chart from obstructing the view, I recommend hiding it - for this, you need to click on the 👁️ next to the coin's name in the object tree (on the right, on the panel).
The code of the indicator includes 360 coins (9 sets of 40 coins), taken from the Coinmarketcap website at the time of the indicator's publication, and exchanges: Binance, Bybit, Okx, Bitget, BingX, and Huobi. Additionally, there is an option to set your custom set of coins (in the zero set). By default, the coins are sorted by the Coinmarketcap rating, but they can be sorted alphabetically. In the settings, you can specify any exchange and base currency (by default, it is USDT).
If a particular coin is not traded on the exchange, the background will be dark gray. You can set three thresholds of multiples, for which coins will be highlighted in different colors. Additionally, coins with the last dump of 99% or more are marked with the ⛔️ sign (you can change this parameter).
The indicator works on a weekly timeframe, if the timeframe is smaller, an error will be displayed. This is done to ensure that historical bars are not "cut off" on junior timeframes. Moreover, the indicator works faster this way.
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Этот индикатор сделан в дополнение к бесплатному индикатору |Spinn| All Time High (вот ссылка на него: тыц ). С помощью данного Монитора вы можете увидеть статус большого количества монет одновременно и выбрать монету для анализа, с помощью второго индикатора вы можете анализировать график выбранной монеты.
Определения
Для упрощения дальше в тексте я буду называть расстоянием ход цены от одного значения к другому, выраженный в процентах и/или иксах.
ATH - исторический максимум
Low - минимум, который был достигнут после ATH
Price - текущая цена
Последний дамп - расстояние от ATH до Low
Потенциальный рост - расстояние от Price до ATH
Индикатор выводит таблицу с названиями монет. Для каждой монеты можно увидеть расстояние от Price до ATH, расстояние от ATH до Low.
Поскольку невозможно обрабатывать более сорока монет в одном индикаторе, то таблица содержит до сорока монет (плюс можно видеть текущую монету). Однако можно сделать несколько копий индикатора и мониторить на одном графике одновременно до девяти таблиц в разных частях экрана - это три с лишним сотни монет. Кстати, чтобы текущий график не закрывал обзор, я рекомендую его скрыть - для этого надо кликнуть на 👁️ возле названия монеты в дереве объектов (справа, на панели).
В код индикатора зашиты 360 монет (9 наборов по 40 монет), взятых с сайта Coinmarketcap в момент публикации индикатора, а также биржи: Binance, ByBit, Okx, BitGet, BingX, Huobi, GateIO, MEXC, CoinEx и KuCoin. Кроме того, есть возможность задать свой кастомный набор монет (в нулевом наборе). По умолчанию монеты отсортированы по рейтингу Coinmarketcap, но их можно отсортировать по алфавиту. В настройках можно задать любую биржу и базовую валюту (по умолчанию это USDT).
Если данная монета не торгуется на бирже, то фон будет темно-серый. Вы можете задать три порога иксов, для которых монеты будут подсвечены разными цветами. Кроме того, знаком ⛔️ помечены монеты, у которых последний дамп составил 99% и больше (вы можете менять этот параметр).
Индикатор работаеть на недельном таймфрейме, если таймфрейм будет меньше, то будет выдана ошибка. Это сделано для того, чтобы не были «обрезаны» исторические бары на более младших таймфреймах. Кроме того, индикатор так работает шустрее.
[Spinn] All Time HighOverall, the cryptocurrency market moves cyclically upwards. There is a renewal of the All Time High (ATH), followed by a dump, accumulation over several years, and a new renewal of the ATH.
In a bullish cryptocurrency market, Bitcoin usually grows before other coins (which makes sense - the crowd invests money first in what is growing), then there is a shift of money from Bitcoin to altcoins, and altcoins catch up to Bitcoin (and often grow by larger percentages than Bitcoin, as their market capitalization is significantly less).
After Bitcoin grew and it became obvious that we are at the beginning of a bull market, I thought it would be a good idea to invest a certain amount in altcoins that have the potential for good growth. (By the way, I like the idea of closing half of the position at two times the gain to get back my investment and have free coins - even in the case of a "black swan" there will be profit and one can sleep peacefully.)
Therefore, I made this indicator to understand which alts are still at the bottom, to be able to buy them as an investment. Of course, this does not cancel out other analysis - the number of coins held by early investors, etc., but for starters, I wanted to choose a list of coins for further research.
The main goal of this indicator is to find coins that are far from their All Time High, to understand the distance they need to travel from the current price to the ATH. The indicator can also be used as a quick marker - to see on which exchanges from a given list the current coin is traded (for this, you can remove all drawing elements except for the second table) - after all, it's cool: you switch between coins and instantly see how many exchanges it is traded on.
In the process, the indicator searches for the All Time High (ATH), after which it searches for the Low, after which it searches for the High again. All three points are marked with horizontal lines. For simplicity, in the text below, I will refer to the price movement from one value to another, expressed in percentages and/or multiples, as "distance."
As a criterion for analysis, I chose the distance between the All Time High and the dump (distance from ATH to Low) after it. Firstly, I will not consider coins where the dump was more than 99%. Sure, many of them will shoot up and may even give hundreds of multiples, but I do not consider it sensible to experiment with them. Moreover, many coins have already grown quite significantly - they do not interest me either. In this study, I am interested in coins that existed before the beginning of Bitcoin's dump in the fall of 2021 and that can show from 5 to 10 multiples, as well as coins that fell very little during this Bitcoin dump, such as OKB from the Okx exchange.
The indicator outputs two tables. In the first one, it outputs values for the current chart:
Distance from the current price (Price) to ATH
Distance from Low to ATH
Ratio of segments |Low..Price| to |Price..ATH|
The same, but comparing not with the current price, but with High
The size of the drop (distance) from ATH to Low
Distance from Low to ATH
In the second one, it compares three indicators of the current trading pair on several exchanges (Binance, Okx, Bitget, Bybit, BingX, Huobi, GateIO, MEXC, CoinEx, KuCoin). You can set the names of the exchanges yourself:
Distance from Price to ATH
Distance from Low to ATH
ATH
Start date of trading for the trading pair (date of the first bar)
The size of the chart history in weeks
The indicator compares charts to USDT, USDC, USD, and USDT.P and selects the pair with the longest history. Here it shows the ticker of the selected currency
To understand how close we are to the All Time High, I analyze such parameters:
The size of the last big dump
How many percent from the current price is needed to reach ATH
How many percent we have already grown from the lowest point of the fall
What part of the path from the lowest point to ATH we have already passed
Furthermore, you can plot a dotted horizontal line on the chart, which will divide the distance from Low to ATH in a given ratio, for example, as 20 to 80 or as 10 to 90. This way, we can assess whether the price is below this line, which may help in our analysis.
It is intended that the indicator should work on a weekly timeframe; if the timeframe is smaller, there is a risk that not all historical bars will be processed, and then the results will be false. Nevertheless, on most charts, even the hourly timeframe works fine (although, perhaps, this depends on your subscription to Tradingview - lower subscriptions provide a smaller number of historical bars).
Note 1.
On coins with a short history, such analysis does not make sense, the indicator is useless. Also, if the coin made a new high and there has not been a dump yet, then the indicator has fulfilled its function, and it will only be useful on the next dump.
Note 2.
If the price made a +100% increase, then the value doubled, i.e., the coin made two multiples. If the price grew by 900%, then the value increased tenfold = 10 multiples.
Note 3.
This indicator is not a guarantee that the coin will reach its All Time High. It is merely a kind of calculator that helps analyze the price position on the chart and make trading decisions.
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В целом, рынок криптовалют движется циклически вверх. Происходит обновление исторического максимума (All Time High или ATH), потом происходит дамп, накопление в течение нескольких лет, и новое обновление исторического максимума.
На бычьем рынке криптовалют Биткоин обычно растет раньше других монет (это и понятно - толпа вкладывает деньги в первую очередь в то, что растет), затем происходит перелив денег из биткоина в альткоины, и альткоины подтягиваются к битку (и часто растут на бОльшие проценты, чем биткоин, так как их капитализация существенно меньше).
После того, как биткоин вырос и стало очевидно, что мы находимся в начале бычьего рынка, я задумался, что неплохо было бы инвестировать некую сумму в альткоины, которые имеют потенциал к хорошему росту. (Кстати, мне нравится идея закрывать половину позиции при двух иксах, чтобы вернуть себе инвестицию и иметь бесплатные монеты - даже в случае «черного лебедя» будет профит и можно спать спокойно.)
Поэтому я сделал этот индикатор, чтобы понять, какие альты еще болтаются внизу, чтобы успеть их купить в качестве инвестиции. Понятно, что никто не отменял прочий анализ - количество монет у ранних инвесторов и т.п., но для начала я хотел выбрать список монет для дальнейшего исследования.
Итак, главная цель данного индикатора - найти монеты, которые находятся далеко от своего исторического максимума, чтобы понять, какое расстояние им нужно пройти от текущей цены до ATH. Также индикатор можно использовать в качестве быстрого маркера - на каких биржах из заданного списка торгуется текущая монета (для этого можно убрать все элементы рисования кроме второй таблицы) - ведь это круто: переключаетесь между монетами и мгновенно видите на скольки биржах она торгуется.
В процессе работы индикатор ищет исторический максимум (ATH), после которого он ищет минимум (Low), после которого он снова ищет максимум (High). Все три точки отмечены горизонтальными линиями. Для упрощения дальше в тексте я буду называть расстоянием ход цены от одного значения к другому, выраженный в процентах и/или иксах.
В качестве критерия для анализа я выбрал расстояние между историческим максимумом и дампом (расстояние от ATH до Low) после него. Во-первых, я не буду рассматривать монеты, у которых дамп был больше 99%. Нет, конечно, многие из них выстрелят, и дадут может даже и сотни иксов, но ставить эксперименты с ними я не считаю целесообразным. Кроме того, многие монеты подросли уже достаточно сильно - они меня тоже не интересуют. В данном исследовании меня интересуют монеты, которые существовали до начала дампа битка осенью 2021-го года и которые могут показать от 5 до 10 иксов, а также монеты, которые на этом дампе битка упали совсем мало, как, например, OKB от биржи Okx.
Индикатор выводит две таблицы. В первой он выводит значения для текущего графика:
расстояние от текущей цены (Price) до ATH
расстояние от Low до ATH
соотношение отрезков |Low..Price| и |Price..ATH|
то же самое, но сравниваем не с текущей ценой, а с High
размер падения (расстояние) от ATH до Low
расстояние от Low до ATH
Во второй - он сравнивает три показателя текущей торговой пары на нескольких биржах (Binance, Okx, Bitget, Bybit, BingX, Huobi, GateIO, MEXC, CoinEx, KuCoin, названия бирж можно задавать самостоятельно):
расстояние от Price до ATH
расстояние от Low до ATH
ATH
Дата старта торгов по торговой паре (дата первого бара)
Размер истории графика в неделях
Индикатор сравнивает графики к USDT, USDC, USD и USDT.P и выбирает пару с самой длинной историей. Здесь он показывает тикер выбранной валюты
Для того, чтобы понять, насколько мы приблизились к историческому максимуму, я анализирую такие параметры:
размер последнего большого дампа
на сколько процентов от текущей цены надо вырасти, чтобы достичь ATH
на сколько процентов мы уже выросли от самой нижней точки падения
какую часть пути от нижней точки до ATH мы уже прошли
Кроме того, можно вывести на график пунктирную горизонтальную линию, которая будет разделять расстояние от Low до ATH в заданном соотношении, например, как 20 к 80 или как 10 к 90. Таким образом, мы сможем оценивать, находится ли цена ниже этой линии, что может помочь в нашем анализе.
Предусмотрено, что индикатор должен работать на недельном таймфрейме, если таймфрейм будет меньше, то есть риск, что не все исторические бары будут обработаны, и тогда результаты будут ложными. Тем не менее, на большинстве графиков даже часовой таймфрейм работает нормально (хотя, наверное, это зависит от вашей подписки на Tradingview - на младших подписках предоставляется меньшее количество исторических баров).
Примечание 1.
На монетах с короткой историей такой анализ смысла не имеет, индикатор бесполезен. Также, если монета сделала перехай и еще не было дампа, то индикатор выполнил свою функцию, и он пригодится только на следующем дампе.
Примечание 2.
Если цена сделала +100%, то стоимость увеличилась в 2 раза, то есть, монета сделала два икса. Если цена выросла на 900%, то стоимость увеличилась в 10 раз = 10 иксов.
Примечание 3.
Данный индикатор не является гарантией того, что монета достигнет своего исторического максимума. Он является лишь своего рода калькулятором, который помогает анализировать положение цены на графике и принимать торговые решения.
Chroma Structure [Orderflowing]Chroma Structure | Trend Identification | Pivot Analysis | Market Structure
Built using Pine Script V5.
Introduction
The Chroma Structure Indicator is an analytical tool designed for traders looking for a single script to help in analyzing the market using trend, pivots & structure.
Explainer:
This system integrates Trend Identification, Pivot Analysis, and Market Structure, offering a unique (but not perfect) framework for analysis.
Innovation and Inspiration
Drawing inspiration from a mix of market psychology, chaos theory, technical analysis, and established technical analysis concepts and proprietary code.
The Chroma Structure Indicator stands out for its innovative and colorful approach.
Price Fractals and Price-Fatigue Concepts
The pivot analysis and market structure components of the Chroma Structure Indicator are inspired from the study of price fractals and price-fatigue concepts.
Code for Trend Identification
The trend identification functionality within the Chroma Structure Indicator incorporates elements from our Ribbon Trend Code.
Originality and Usefulness
The originality of the Chroma Structure Indicator is in its 'full frame' approach to market analysis, combining technical analysis elements to offer a view of the markets behavior.
Core Features
Trend Identification: Uses a selection of the chosen moving average, allowing for customized trend analysis sensitive to market volatility. (EMA, SMA, WMA, HMA, Laguerre, LINREG & DEMA)
Pivot Analysis: Features price-fatigue concepts to identify pivotal market turning points, customizable to match individual trading strategies.
Market Structure: Offers a view of market levels and patterns, with the option to include key Fibonacci retracement levels.
Core Settings
1. Trend Identification
Foundation
At its core, the Trend Identification component can use a mix of moving averages, each selected for its properties with market momentum and smoothing of price data.
This blend allows for adaptation to volatility.
Customization
Traders have the ability to choose Trend Threshold, Signal/Filter & MA Types. (EMA, SMA, WMA, HMA, Laguerre, LINREG & DEMA)
Traders can also choose to view signals displayed on the chart with the 'Show Signals & Text' option.
(This can also be done without the Chroma Candles):
Application
Traders can customize the parameters, including type and length, to match their trading style.
This flexibility ensures that the trend signals remain relevant, whether in fast-moving Crypto or more stable Equity/FX markets.
2. Pivot Analysis
Foundation
Pivot Analysis in the concept of market/price exhaustion, where pivotal turning points are identified through a reading of price action and volume.
This analysis is tuned to detect potential shifts, offering early warnings of potential reversals.
Application
By adjusting the sensitivity settings, traders can tailor the Pivot Analysis to their risk tolerance and trading time-horizon.
Whether looking for short-term scalping moves or longer-term swing trades, this component provides help with potential entry and exit points.
3. Market Structure
Foundation
The Market Structure component is a fractal-based approach to give market levels and patterns.
This method has traditional fractal analysis to identify the structure that show areas of potential support, resistance, and changes in structure with breaks.
Customization
Traders can set the length threshold for market structure fractals.
Traders can set the configuration type, either using the candle body data or include wicks price data.
Traders have the flexibility to select key retracement levels (0.5, 0.618) and optionally include the 1.618 level for deeper market structure analysis.
The inclusion of Points of Interest (POI) lines further adds to the structural levels provided by the indicator.
Application
Traders can use the Market Structure to potentially plan their trades around structural levels, gives a potential way to exercise risk management and profit-taking.
The visual representation of these structures can help with the identification of breakout zones, consolidation areas, and potential reversal points.
Functionality
The Chroma Structure Indicator has been further fitted with functionalities like Points of Interest (POI) and pivot alerts.
These additions provide traders with signal alerts, enabling for faster reaction to signals from the indicator.
Detailed Functionality
The indicator's trend component adjusts in real-time (with no repainting) to market changes based on the signal configuration.
Pivot analysis is tuned to detect shifts in market momentum, offering traders early warnings of potential reversals.
The market structure analysis delves into the fractal nature of markets, identifying potentially significant levels.
Analysis and Interpretation
The Chroma Structure Indicator offers a layered analysis, with each component building upon the others to provide a potentially "full frame" view of the asset.
The synergy between Trend Identification, Pivot Analysis, and Market Structure enables traders to see the asset based on a confluence of factors, leading to a more uniform analysis approach.
Structure and Chroma Candle Coloring
Structure: The indicator shows the market structure; H/H (Higher High), L/H (Lower High), L/L (Lower Low), and H/L (Higher Low), providing visual cues for potential trend directions.
Structure Context / Break: Indicate structural contexts or potential breakout points.
Chroma Candles:
Green Candles show a bullish trend or an uptrend.
Red Candles represent a bearish trend or a downtrend.
Grey Candles shows a lack of a clear trend or a potential trend shift, signaling caution or a time of consolidation.
Blue Candles suggest a bullish bias or a potential uptrend, often appearing at the beginning of upward momentum.
Cyan/Light Green/Light Blue Candles are indicative of a bullish reversal or potential early signs of an uptrend reversal.
Yellow/Orange/Purple Candles signal a bearish reversal or potential early signs of a downtrend reversal, urging traders to prepare for possible changes in market direction.
Usage and Applications
This indicator works for various instruments.
It can help traders with:
Combining trend, pivot, and structure to plan potential trade entries and exits.
Offering visual help of the mechanics driving price movements.
Identifying key levels for setting potential stop losses and take profits, based on structure and pivot points through the colored candles.
Example of POI (Point of Interest):
Example of All Fibonacci Levels ON:
Example of Chroma Signals & Text ON:
Example of All Optional Settings ON:
The Value
By integrating these analysis concepts into a single tool, the Chroma Structure Indicator offers value to traders.
Its approach provides visuals of the potential underlying market structure, trend & potential pivots.
Conclusion
The Chroma Structure Indicator is a tool that stands out from the crowd.
It's a good addition for your trading system and can potentially give a full frame view of change in the market and its structure.
Its development is the result of extensive testing and countless revisions, designed to save time on your analysis.
Disclaimer
While the Chroma Structure Indicator is a unique tool for analysis, it is important for traders to remember that no tool can guarantee success.
Past performance is not indicative of future results.
Do not solely rely on the signals from the Chroma Structure indicator.
The indicator is meant to be used as confluence to an existing strategy.
MarketWebsWhat are the MarketWebs?
A technical system based on Auction Market Theory and Market Profiles using Volume, Time, and Price to determine a Technical Roadmap outlining significant support & resistance across Equities, Futures, Cryptos and Forex.
Volume at price (Market Profile) is a powerful way to look at the market. By comparing current price action to the action occurring during previous periods, we can more clearly see the strength or weakness in the current market. Marking and tracking previous periods also allow the trader to identify price levels the market “remembers”.
Uniquely, this script automatically identifies and labels:
Virgin Points of Control (VPOCs) derived from price action leaving behind overhead supply (or underneath demand). VPOCs help determine pivot / stabilization points and often act as magnets when the market is trending.
Price breakouts across multiple time frames based on Auction Market Theory.
Bullish or bearish 80% rules as price enters value. This rule is triggered when: the Value Area has not been fully explored, price has been trading outside of value, and price breaks into value.
Venom Lines which are pivot lines of support and resistance derived from the period’s value area.
When high volatility is expected after a price auction period of significantly suppressed volatility.
What do they show?
1) Value Areas
The MarketWebs calculate precise Value Areas based on the market profile built from the amount of volume traded and time spent at all price levels across a period and then shift them forward for reference in the next period. As a technique developed in the 1980’s OEX trading pit using the previous day’s price action for reference today, this script extrapolates that concept into daily, weekly, monthly, and yearly value areas to compare the current price action to.
This script automatically draws the value areas across multiple time frames, calculating the value areas for the applicable periods: Daily, Weekly, Monthly, and Yearly.
For instance, the Monthly Value Area is based on the previous trading month. When the market is “below value” the trend is weak and price is in an auction market looking to establish a new “value”. The same is true above value, the market is strong. Inside of value however, the market is ranging instead of trending.
By applying multiple copies of the script to the chart, it is possible to show multiple time frame value areas on the same chart.
2) VPOCs
Within every value area there is a price level at which the most activity occurred. This is called the “Point of Control” (POC). It is our belief that the POC inside of the value area doesn’t hold much significance for trading; however – when the market has moved into a new value area period, and the previous POC has been left “un-tested” it becomes a “Virgin Point of Control” (VPOC).
VPOCs are extremely significant levels to the market. As price moves away from them over time the market has a memory for these levels that it will not forget. When the market finally starts to trend towards a VPOC (for example, price is above value for the period, and there is a VPOC above) the level will act as a magnet, pulling the market towards it. More often than not, once the market “tags” this level, it will reverse (note: in strong volume moves or extreme price shocks, it may bust through multiple VPOCs before reversing direction)
3) 80% Rule
Another trading rule from the pit traders, the 80% rule states that if price has been trading outside of the previous value area before that value area has been fully explored, and price then breaks into value, there is an 80% chance that price will continue to the other side of value. This works in both directions, bullish and bearish. This script will highlight when the market has triggered an 80% Rule.
4) Venom Lines
Venom lines are pivot levels of support and resistance based on the calculated value areas. These are reference levels for how extreme the market’s move away from value is in the current period and often mark significant but somewhat weak levels of support and resistance. They are especially useful identifying price targets for stocks making new all time highs.
5) Expected High Volatility
Many traders monitor when price has been consolidating (with low volatility) for an extended period of time. This kind of price action makes abnormally “skinny” Value Areas which indicate that the market is primed for a large move (in any direction) during the following period. This script identifies periods of high volatility expected both in the current period or in the next period as its value area is established.
Setup and Preferences:
Be sure to have your TradingView charts set to “Scale price chart only,” otherwise the chart will try to fit all of the VPOCs and Venoms in your field of view when only the closest levels to current price action are really important.
* Be sure to read through any release notes as they may contain updates to the options depicted.
TraderHouse Pivots Fibonacci TraderHouse Pivots Fibonacci
A pivot point is a technical analysis indicator, or calculation, used to determine the overall trend of the market over different time frames. The pivot point itself is simply the average of the high, low, and closing prices from the previous trading day.
Fibonacci retracement levels are horizontal lines that indicate the possible locations of support and resistance levels. Each level is associated with one of the above ratios or percentages. It shows how much of a prior move the price has retraced. The direction of the previous trend is likely to continue.
TraderHouse Signal from Pivot PointTraderHouse Signal from Pivot Point
What is pivot point Supertrend?
Pivot Point Supertrend Algo Strategy for TradingView - MyCoder
Pivot Point Supertrend Strategy Parameters for TradingView Charts. Pivot Point Period: A pivot point that also overlaps or converges with a 50-period or 200-period moving average, or Fibonacci extension level. ATR Length : the ATR calculation is based on 14 periods, which can be intraday, daily, weekly, or monthly.
Liquidity LevelsThe "Liquidity Levels" indicator on TradingView is designed to identify and highlight liquidity levels in the market. This indicator is based on pivot highs and lows with an adjustable offset to adjust the importance and length of the identified levels.
The strength of this indicator lies in its ability to highlight changes in liquidity levels, which can be crucial for traders. By marking pivot highs and lows, potential areas of high liquidity are highlighted, which can indicate where significant market movements or reversal points may occur.
The flexibility of whether the calculation is based on the closing price or the high/low prices allows for customisable analysis. The visual representation of liquidity levels by lines makes it easier to identify and monitor these key areas in the chart, which can provide additional value for traders.
Timeframe PivotsUse this tool to plot open prices from any timeframe as a pivot level with the option to go advanced and turn on extensions (instructions below), which review the relationship between previous and current open prices to build range extensions up to six levels wide.
Please be aware extensions, nor vwap are not enabled by default! It is up to the user to determine how they wish to setup this indicator. Please read the full description for utilizing this indicator so that it's well known the complete feature set and understanding of how to enable additional plots, complete instruction is provided for all users below.
Default configuration example:
To enable extensions the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the section labeled "Extensions", use the mouse or equivalent human interface device to check the checkbox to the right of the color plots and line type drop down.
Extensions enabled example:
Timeframe Selection
Timeframes available to the indicator are any timeframe the platform makes available to the user by default, or also if the TradingView user has higher tier plan to create custom timeframes - those should be available as well. To adjust timeframe the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the input labeled "Timeframe", use the mouse or equivalent human interface device select the drop down and select timeframe suitable to users application.
How the extension width and extensions are calculated:
The exact process takes the new timeframe change open price calculates the difference between prior open, once that has been completed then it's divided in half to build extensions.
Code example:
Extension Width = (Open - Open ) / 2
How the extensions are calculated:
// +1 for positive extension, -1 for negative extension
(Extension Width * (Configured Multiplier * 1)) + Pivot Open Price
+1 Extension:
$5 * (1.0 * 1) + $400 = $405
-1 Extension:
$5 * (1.0 * -1) + $400 = $395
So it should be established how each projected extension, either positive or negative, is created.
Range bound market detection and notes:
One note regarding the ranges, sometimes the open prices of each period can be close in proximity to their predecessor, there's not enough range to build meaningful projections. In these situations this means the market is most likely range bound and prior range data is utilized to continue providing guidance. This addresses an issue with other pivot indicators that will instead blindly follow price and present useless pivot ranges.
It does this through detection of average half range widths, the last 14 ranges to be exact, if the current, (open - open / 2), half range width is smaller than the average, prior half range width will be used.
Code example:
// assume past half range widths are 10, 8, 9, 5, 14, 7, 7, 9, 10, 10, 4, 7, 7, 8
float v_halfRangeWidthToUseForExtensions = na
v_priorHalfRangeWidth = 10
v_avgHalfRangeWidth = 8.2 // past range widths sum = 115 / 14
v_newHalfRangeWidthToUseForExtensions = 2 // new open - open is tiny compared to avg
if v_newHalfRangeWidthToUseForExtensions < v_avgHalfRangeWidth
// replace new half range width with previous one
v_newHalfRangeWidthToUseForExtensions := v_priorHalfRangeWidth
In the code example above if the new half range width was above or equal to the rolling average, no adjustment would be made by the indicator.
VWAP
Additional feature of showing vwap, anchored to the same timeframe as the pivot, provides a trend and volume analysis within the confines of the pivots range.
The user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", scroll using mouse to the "VWAP" section and click the checkbox next to the "Source" field, past the color plots. They are not enabled by default!
The user can also add the bands for VWAP by clicking the checkbox next to the "Bands" field, past the color plots. They are not enabled by default!
VWAP calculations begin from open price of new timeframe change, then afterwards the "Source" set is utilized, the default is HLC3 which is standard for VWAP indicators.
Multiple Timeframe Analysis (MTFA)
It's simple to create a unique combination of favored timeframes for multiple timeframe analysis, consider daily, weekly and monthly combined analysis for powerful indications of market sentiment and directional bias.
Example MTFA demonstration:
Why was this created?
I created this while investigating the efficacy of open price ranges, it became apparent that these pivot ranges are some of the more price respecting pivots I've ever observed. I also grew tired of lack of price adherence to other pivot indicators widely available.
There exists a relationship between each timeframes open price in comparison to prior open price, if the market is willing to navigate to a prior lower open price from higher open price, it could be perceived as bearish and the extensions (if enabled as instructed above), could be suitable range based projections for future price movements.
Example comparison:
As can be seen, and there are many examples, where Timeframe Pivots provides more discreet levels and potential explanations for price movements.
Blockunity Level Presets (BLP)A simple tool for setting performance targets.
Level Presets (BLP) is a simple tool for setting upside and downside levels relative to the current price of any asset. In this way, you can track which price the asset needs to move towards in order to achieve a defined performance.
How to Use
This indicator is very easy to use, you can set up to 5 upward and downward targets in the parameters.
Elements
The main elements of this tool are upward (default green) and downward (default red) levels.
Settings
Several parameters can be defined in the indicator configuration.
In addition to configuring which performance value to set the level at, you can choose not to display it if you don't need it. For example, here we display only two levels:
You can also choose not to display the labels:
Also concerning labels, you can choose not to display them in currency format, but in numerical format only (for example, if you're viewing a non-USD pair, such as ETHBTC):
Finally, you can modify design elements such as colors, level widths and text size:
How it Works
Here's how upside (_u) and downside (_d) levels are calculated:
source = close
level_1_u = source + (source * (level_1 / 100))
level_1_d = math.max(source - (source * (level_1 / 100)), 0)
Institutional Demand and Supply Indicator- Professional Zones V1*** Technical Analysis intro to Demand & Supply Zones:
Analyzing supply and demand has become a prevalent approach for day and swing traders engaged in equity, forex, and futures markets. The objective of studying supply and demand zones is to anticipate potential price pivots before they occur, providing traders with a strategic advantage. While various charting and trading strategies fall within the supply and demand framework, our emphasis will primarily be on Institutional Zones of Demand and Supply Imbalances, as highlighted by our TradingView indicator.
See the demstration for what Demand & Supply Zones inbalances may look like:
To start, let's deconstruct the mentioned expression. The term 'institutional' holds significant importance in our trading approach. As a retail trader, it's crucial to grasp that individuals like you and me have minimal influence over and impact on price movements in major markets. The daily price fluctuations are primarily driven by substantial transactions conducted by large institutions and hedge funds, involving substantial quantities of buying and selling in the equity market.
The presented chart illustrates the price dynamics of ES, representing the S&P500 E-mini futures.
See the Example below for Demand & Supply Zones:
Recognizing the pivotal role of institutions in influencing market prices is essential for comprehending the creation of supply and demand imbalances. This understanding is derived from an analysis of historical price movements.
Price action manifests in two primary forms: balanced and imbalanced. Balanced price action represents a flat, consolidative market movement characterized by a sideways overall direction. In contrast, imbalanced price action denotes a pronounced upward or downward shift in price. The critical insight lies in the fact that institutional demand and supply imbalances emerge when the market transitions from balanced to imbalanced price action. The following illustration provides an example of balanced price action.
Below is example that measure the strength/ weakness of Demand & Supply zones!!!!
The duration of consolidation directly influences the size of the demand/supply zone, with its strength gauged by the originating time frame. Each zone may emerge on various time frames, ranging from the largest on the 1-Month time frame to the smallest on the 30-Minute time frame. Automatic labeling of supply and demand zones occurs based on their respective time frames.
Weaker zones are associated with the 30-Minute time frame, indicating a formation period of merely two 30-minute candles. This limited time span restricts the opportunity for institutions to execute substantial orders, resulting in smaller bounces and rejections, typically lasting no more than a few days.
In contrast, larger zones like 1 Day, 1 Week, and 1 Month have the potential to instigate significant market swings lasting for weeks, months, or even years. It is imperative to consider not only the current placement of demand and supply zones but also the strength associated with each zone. Examining the instance of the market bottoming and reversing, it becomes evident that the demand zone was notably robust, being a powerful weekly zone.
These zones operate on an order-based principle, distinguishing them from standard trend-based support and resistance levels. Unlike conventional levels, a supply zone doesn't transform into demand when price action surpasses it, and vice versa. If the price action drops below demand or above supply, even by a mere $0.01, indicating that all buy orders have been fulfilled, the demand or supply zone is then removed from the chart.
While it is feasible to approach these zone breaks as continuation opportunities based on the ongoing significant price action, predicting the extent of price movement after breaking supply or demand during that phase remains uncertain. Nevertheless, drawing upon my years of experience in demand and supply, I've observed a tendency for the market to eventually gravitate toward the next viable demand zone if the current one breaks. This is because without a pivot induced by an institutional-created demand or supply imbalance, there often lacks sufficient participation to sustain a prolonged trend reversal.
Limitations for the Indicator:
TradingView has a few constraints that impact the functionality of the Professional Zones - Institutional Supply and Demand Imbalances indicator. The primary limitation arises from the data provided by TradingView to its users. A basic TradingView account grants access to only 5,000 candles of data. Therefore, users operating on a 1-minute time frame can view a maximum of 5,000 candles leading up to the current point. This is crucial because our advanced indicator analyzes historical price action to identify demand and supply zones, displaying them on your chart. Consequently, users on a 1-minute time frame can only observe zones formed within the last 5,000 candles. Older demand and supply zones cannot be showcased. However, with a Premium TradingView subscription, users can access up to 20,000 candles, significantly expanding the potential zones visible on smaller time frames.
To address this limitation, we strongly recommend examining larger time frames before commencing your trading day, as there might be an older zone hidden from view. Once identified on, for instance, a 30-minute time frame, you can easily take note of the demand zone and its location.
Please Note for the what is offered in the indicator:
4 options to chose EMA/SMA/VMA/HMA
1 option to choose VWAP
Options to choose the on/off for Demand & Supply zones alone with to choose how it will read the candle pattern based on a "Use 2X Candle Logic & Factor %%
Options to choose zone labels on/off and Price levels on/off
Options to change the wording on "Demand Text": D to any wording
Options to change the wording on "Supply Text": S to any wording
Option to turn on /off broken zones
Option to choose how many zone extentions to show above or below price on chart
Option to choose on/off how many "TF" = Time Frames/ Zones from 1 week down to the 15 minutes
PS will try and update with charts and the setting box
Automatic Fibonacci Retracement Golden Pocket (GP)Main info
This script automatically draws you the Fibonacci retracement level called golden pocket from the latest detected pivot point to the actual price. This level is very popular among traders because the price tends to reverse on this level pretty often. You should use this on higher timeframes 15m+.
It is good to keep in mind that this level alone is not enough, you should still have another level there to enter the trade, for example golden pocket in combination with a demand zone is pretty solid. :)
Settings
The length for pivot point calculation is available in the script settings.
You can enable inverted golden pocket (for shorts)
You can hide/show the pivot point labels
If you want any updates, just feel free to write me :)
ATR Extensions (truss)This is an ATR band study. It presents the Daily and Weekly ATRs onto the chart, with an adjustable pivot as the mid-point.
ATR:
The study projects the following, from both daily and weekly timeframe analysis:
14-period ATR Bands for Daily
4-period ATR Bands for Weekly
Both period settings are adjustable by the user
Pivot:
The default pivot is set to (H+L+C)/3, but there's an option to use the current period's opening print as the pivot on a gap (or not on a gap, just enable it, and set the threshold to 0).
MGI:
This study also provides users the ability to the prior period Marketed Generated Information, such as: Current Period Open (Daily/Weekly), Prior Period Close, Prior Period High, Prior Period Low.
*The show_last setting is on 1 for these items for now, as I found them to clutter the chart and wanted to focus my efforts on the ATR bands. If there's a lot of demand for MGI studies, I can add to this or make a new one when I have time.
Happy to hear comments/suggestions/requests/praise.
Cheers
Liquidation Zone [Pt]█ Introduction
The Liquidation Zone indicator is designed to identify key price ranges where significant market activity, such as the liquidation of positions, is likely to occur. These zones are identified based on a specific candlestick pattern, offering insights into potential areas of market sensitivity.
█ Key Features:
► Specific Candlestick Pattern Identification: The indicator identifies liquidation zones by detecting a pattern where a red candle is encased within a series of green candles (in bullish scenarios) or a green candle within red candles (in bearish scenarios). This pattern often suggests a point where the market pauses to liquidate positions before continuing the prevailing trend.
► Market Reaction Points: These liquidation zones represent significant levels where the market previously decided to liquidate or adjust positions, indicating potential areas where price might react upon revisit.
► Integration with Volatility and Volume Data: The script combines these candlestick patterns with volatility (using ATR) and volume data, adding depth to the analysis and increasing the reliability of these zones as potential reaction areas.
► Visual Zone Mapping on Charts: Liquidation Zones are clearly marked on the trading chart for easy identification, aiding traders in visualizing these critical market areas.
█ Possible Use Cases
► Identifying Potential Reaction Areas
Traders can use the Liquidation Zone indicator to pinpoint zones where the market might pause or reverse due to previous liquidation activities. These areas can be key for planning entries, exits, or expecting increased market volatility.
► Enhancing Trading Strategy
Incorporating the analysis of liquidation zones into a trading strategy allows for a more nuanced understanding of market behavior, particularly in recognizing potential areas where price might experience significant support or resistance.
► Complementing Technical Analysis
This indicator is a valuable addition to a technical analyst's toolkit. When used alongside other analysis tools, it provides a more comprehensive view of the market, enhancing decision-making and strategy formulation.
Top Cap ADD%This is a very basic oscillator that plots the average % change of the top 5 highest market cap stocks in the S&P500. It can be easily modified to suit your needs on which stocks you'd like to track, and or filter out the threshold you're looking for.
Liquidity-Finder ICT / SMCIn the context of ICT and the Smart Money Concept, liquidity is likely viewed as a crucial factor for determining the strength and sustainability of a market move. Smart Money is often associated with large institutional traders who have the ability to influence liquidity.
Liquidity Sweep:
A liquidity sweep in this context might involve Smart Money intentionally executing trades across various price levels to assess market depth and liquidity. This information can be used to identify potential areas of interest for Smart Money to initiate or exit positions without causing significant price disruptions.
Stop Hunt:
Stop hunting is a concept that Smart Money traders may employ to deliberately trigger stop orders in the market. By doing so, they can create temporary price movements that allow them to accumulate or liquidate positions at more favorable prices before the market reacts.
Smart Money Concept (SMC):
The Smart Money Concept revolves around the idea that large institutional traders (Smart Money) have superior information and resources compared to retail traders. Understanding the behavior of Smart Money, as taught in ICT and SMC, involves analyzing market dynamics, order flow, and liquidity to make more informed trading decisions.
Liquidating:
Liquidating refers to the process of selling or closing out existing positions. In the context of Smart Money, the term could imply that institutional traders are actively managing their positions, either taking profits or cutting losses strategically based on their analysis of market conditions.
The Indicator
The Indicator show open liquidity as solid lines and liquidates liquidity as dashed lines
Is able to send alerts for liquidity level was liquidated, liquidity level was dipped or the next close is on the other side
AI SuperTrend x Pivot Percentile - Strategy [PresentTrading]█ Introduction and How it is Different
The AI SuperTrend x Pivot Percentile strategy is a sophisticated trading approach that integrates AI-driven analysis with traditional technical indicators. Combining the AI SuperTrend with the Pivot Percentile strategy highlights several key advantages:
1. Enhanced Accuracy in Trend Prediction: The AI SuperTrend utilizes K-Nearest Neighbors (KNN) algorithm for trend prediction, improving accuracy by considering historical data patterns. This is complemented by the Pivot Percentile analysis which provides additional context on trend strength.
2. Comprehensive Market Analysis: The integration offers a multi-faceted approach to market analysis, combining AI insights with traditional technical indicators. This dual approach captures a broader range of market dynamics.
BTC 6H L/S Performance
Local
█ Strategy: How it Works - Detailed Explanation
🔶 AI-Enhanced SuperTrend Indicators
1. SuperTrend Calculation:
- The SuperTrend indicator is calculated using a moving average and the Average True Range (ATR). The basic formula is:
- Upper Band = Moving Average + (Multiplier × ATR)
- Lower Band = Moving Average - (Multiplier × ATR)
- The moving average type (SMA, EMA, WMA, RMA, VWMA) and the length of the moving average and ATR are adjustable parameters.
- The direction of the trend is determined based on the position of the closing price in relation to these bands.
2. AI Integration with K-Nearest Neighbors (KNN):
- The KNN algorithm is applied to predict trend direction. It uses historical price data and SuperTrend values to classify the current trend as bullish or bearish.
- The algorithm calculates the 'distance' between the current data point and historical points. The 'k' nearest data points (neighbors) are identified based on this distance.
- A weighted average of these neighbors' trends (bullish or bearish) is calculated to predict the current trend.
For more please check: Multi-TF AI SuperTrend with ADX - Strategy
🔶 Pivot Percentile Analysis
1. Percentile Calculation:
- This involves calculating the percentile ranks for high and low prices over a set of predefined lengths.
- The percentile function is typically defined as:
- Percentile = Value at (P/100) × (N + 1)th position
- Where P is the desired percentile, and N is the number of data points.
2. Trend Strength Evaluation:
- The calculated percentiles for highs and lows are used to determine the strength of bullish and bearish trends.
- For instance, a high percentile rank in the high prices may indicate a strong bullish trend, and vice versa for bearish trends.
For more please check: Pivot Percentile Trend - Strategy
🔶 Strategy Integration
1. Combining SuperTrend and Pivot Percentile:
- The strategy synthesizes the insights from both AI-enhanced SuperTrend and Pivot Percentile analysis.
- It compares the trend direction indicated by the SuperTrend with the strength of the trend as suggested by the Pivot Percentile analysis.
2. Signal Generation:
- A trading signal is generated when both the AI-enhanced SuperTrend and the Pivot Percentile analysis agree on the trend direction.
- For instance, a bullish signal is generated when both the SuperTrend is bullish, and the Pivot Percentile analysis shows strength in bullish trends.
🔶 Risk Management and Filters
- ADX and DMI Filter: The strategy uses the Average Directional Index (ADX) and the Directional Movement Index (DMI) as filters to assess the trend's strength and direction.
- Dynamic Trailing Stop Loss: Based on the SuperTrend indicator, the strategy dynamically adjusts stop-loss levels to manage risk effectively.
This strategy stands out for its ability to combine real-time AI analysis with established technical indicators, offering traders a nuanced and responsive tool for navigating complex market conditions. The equations and algorithms involved are pivotal in accurately identifying market trends and potential trade opportunities.
█ Usage
To effectively use this strategy, traders should:
1. Understand the AI and Pivot Percentile Indicators: A clear grasp of how these indicators work will enable traders to make informed decisions.
2. Interpret the Signals Accurately: The strategy provides bullish, bearish, and neutral signals. Traders should align these signals with their market analysis and trading goals.
3. Monitor Market Conditions: Given that this strategy is sensitive to market dynamics, continuous monitoring is crucial for timely decision-making.
4. Adjust Settings as Needed: Traders should feel free to tweak the input parameters to suit their trading preferences and to respond to changing market conditions.
█Default Settings and Their Impact on Performance
1. Trading Direction (Default: "Both")
Effect: Determines whether the strategy will take long positions, short positions, or both. Adjusting this setting can align the strategy with the trader's market outlook or risk preference.
2. AI Settings (Neighbors: 3, Data Points: 24)
Neighbors: The number of nearest neighbors in the KNN algorithm. A higher number might smooth out noise but could miss subtle, recent changes. A lower number makes the model more sensitive to recent data but may increase noise.
Data Points: Defines the amount of historical data considered. More data points provide a broader context but may dilute recent trends' impact.
3. SuperTrend Settings (Length: 10, Factor: 3.0, MA Source: "WMA")
Length: Affects the sensitivity of the SuperTrend indicator. A longer length results in a smoother, less sensitive indicator, ideal for long-term trends.
Factor: Determines the bandwidth of the SuperTrend. A higher factor creates wider bands, capturing larger price movements but potentially missing short-term signals.
MA Source: The type of moving average used (e.g., WMA - Weighted Moving Average). Different MA types can affect the trend indicator's responsiveness and smoothness.
4. AI Trend Prediction Settings (Price Trend: 10, Prediction Trend: 80)
Price Trend and Prediction Trend Lengths: These settings define the lengths of weighted moving averages for price and SuperTrend, impacting the responsiveness and smoothness of the AI's trend predictions.
5. Pivot Percentile Settings (Length: 10)
Length: Influences the calculation of pivot percentiles. A shorter length makes the percentile more responsive to recent price changes, while a longer length offers a broader view of price trends.
6. ADX and DMI Settings (ADX Length: 14, Time Frame: 'D')
ADX Length: Defines the period for the Average Directional Index calculation. A longer period results in a smoother ADX line.
Time Frame: Sets the time frame for the ADX and DMI calculations, affecting the sensitivity to market changes.
7. Commission, Slippage, and Initial Capital
These settings relate to transaction costs and initial investment, directly impacting net profitability and strategy feasibility.
Grid Bot BacktestingBinance, Bybit, Bitget, and other cross-exchange (grid) trading bot backtesting.
Auto bound: Automatically setting upper and lower price bounds.
Manual: Setting upper and lower price bounds manually.
The graph below represents the overall asset changes (initial investment amount + current position profit + grid profit).
Try using backtesting when setting up a grid bot on the exchange!
바이낸스, 바이비트, 비트겟 등 교차거래(그리드) 봇 백테스팅
Auto bound : 자동으로 상,하단 가격 설정
Manual : 직접 상,하단 가격 설정
아래 그래프는 총 자산 변화입니다.(초기투자금액 + 현재 포지션 수익 + 그리드 수익)
거래소에서 그리드 봇 설정할 때 백테스팅 유용하게 써보세요!
Implied Orderblock Breaker (Zeiierman)█ Overview
The Implied Order Block Breaker (Zeiierman) is a tool designed to identify enhanced order blocks with imbalances. These enhanced order blocks represent areas where there is a rapid price movement. Essentially, this indicator uses order blocks and suggests that a swift price movement away from these levels, breaking the current market structure, could indicate an area that the market has not correctly valued. This technique offers traders a unique method to identify potential market inefficiencies and imbalances, serving as a guide for potential price revisits.
The indicator doesn't scan for imbalances in the traditional sense — where there's an absence of trades between two price levels — but instead, it identifies quick movements away from key levels that suggest where an imbalance might exist. Relying on crossovers and cross-unders in conjunction with pivot points and examining the high/low within the same period provides an innovative method for traders to spot these potentially undervalued or overvalued areas in the market. These inferred imbalances can be crucial for traders looking for price levels where the market might make significant moves.
█ How It Works
Bullish
Crossover: The closing price of a bar crosses above a pivot high, which is an indication that buyers are in control and pushing the price upwards.
New Low Within Period: There is a lower low within the same period as the pivot high. This suggests that after setting a high, the market pulled back to set a new low, potentially leaving a price gap on the way up as the price quickly recovers.
Bearish
Crossunder: The closing price of a bar crosses under a pivot low, indicating that sellers are taking control and driving the price down.
New High Within Period: There is a higher high within the same period as the pivot low. This condition suggests that the market rallied to a new high before falling back below the pivot low, potentially leaving a gap on the way down.
█ How to Use
The enhanced order blocks are often revisited, and the price may aim to 'fill' the potential imbalance created by the rapid price movement, thereby presenting traders with potential entry or exit points. This approach aligns with the idea that imbalances are frequently revisited by the market, and when combined with the context of Order Blocks, it provides even more confluence.
Example
Here, if the price drops rapidly after setting a new high—crossing under the pivot low—it may skip over certain price levels, creating a 'gap' that signifies an area where the price might have been overvalued (imbalance), which the market may revisit for a potential price correction or revaluation.
█ Settings
Period: Determines the number of bars used for identifying pivot highs and lows. A higher value gives more significant but less frequent signals, while a lower value increases sensitivity but might give more false positives.
Pivot Surrounding: Specifies the number of candles to analyze around a pivot point. Increasing this value broadens the analysis range, potentially capturing more setups but possibly including less significant ones.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Periodic Volume Profile++ [Pt]█ Introduction
The Advanced Pro ++ Version of the Periodic Volume Profile is an advanced TradingView indicator, designed for traders focusing on volume-driven strategies. It provides detailed volume distribution and key levels over selected periods with extensive customization options.
█ Features Overview
Highly customizable and versatile, this tool is essential for a trader's toolkit, offering a variety of settings to suit specific trading needs.
█ Volume Profile
Display Modes: Four options - Off, Total, Up/Down, Gradient.
POC Highlighting: Option to highlight the Point of Control (POC) VP histogram bar.
VP Bar Size Control: Customize the number of ticks per VP bar, including a 'use min tick' option.
Volume Display: Show volume figures on the profile.
Developing VP Color Theme: Different color themes for developing VP.
█ Point of Control (POC)
Historical POCs: Display POCs from a specified number of past periods.
POC Levels: Auto-drawn levels indicating price, period, timeframe, and volume.
Color Customization: Separate color options for closest POCs, older POCs, and NPOCs (Naked POCs).
Closest Historical POC Display: Show nearest historical POC within a customizable range.
Low Volume POC Fading: Fade out low volume POC lines.
█ Value Area and Background Color
Display Options: Off, Custom Color, or Color based on Period Close vs. Open.
Customizable Colors: Tailor the color scheme as per preference.
Value Area High/Low Prices: Display options for VAH and/or VAL.
█ Extra Options
Periodic Candle Bar Display: Show candle bar for each period with customizable colors.
Previous POC, VAH, VAL Display: Display these levels in dashed lines.
The Advanced Pro ++ Volume Profile indicator is a top choice for traders seeking in-depth analysis of volume patterns and market structure, offering unparalleled customization and precision.
AUTO STOP LEVELThis is a simple yet highly efficient code that calculates stop levels, taking into account the market trend and its volatility.
This script calculates and displays (as a white point in the chart) a stop-loss by considering both volatility and the nearest support/resistance point.
The stop level is determined as the average of three specific values: firstly, two distinct volatility indicators - ATR and Bollinger Bands, and finally, the nearest support/resistance provided by the Supertrend indicator.
Moreover, it analyzes the trend to determine whether the stop should be set for long or short positions, providing insights into the most probable path of future prices. For instance, if the calculated stop level is below the current market prices, it suggests taking long positions, and vice versa.
Customization options include fine-tuning the standard parameters for the three indicators used in averaging and selecting multiple time frames.
