Indicator
Indicator
AFRHi everyone! Sorry for not posting anything for so long again. I will be active in July, after passing my university exams. I bought some S&C magazine archives, so await my new post strategies and indicator in July, as things are gonna get real interesting! But for now let me hand you some new and interesting stuff — AFR indicator.
Actually, this is my third time republishing this indicator after a big timeout because of the battles with TV mods on reference politics (which I lost).
This is indicator was originaly made by some user from other trading website, which I can't mention because of TV reference politics.
Which principles are behind AFR?
First we define our own low and high (OL and OH respectively), which are equal to:
OL = open - ATR * ATR_Factor
OH = open + ATR * ATR_Factor,
where ATR — Average True Range,
ATR_Factor — "Factor" in the settings — multiplier for ATR.
On each tick we remember AFR's value from previous bar, if it is not 0.
When OL is greater then AFR, then AFR is equal to OL. It means that there is probably an uptrend, so we adjust AFR accordingly.
When OH is lower then AFR, then AFR is equal to OH. It means that there is probably a downtrend, so we adjust AFR accordingly.
How to use?
Green AFR — bullish trend.
Red AFR — bearish trend.
Green AFR's triangle up — buy signal — appears when AFR changes it's colour from red to green.
Red AFR's triangle down— sell signal — appears when AFR changes it's colour from green to red.
ALERTS INCLUDED!
My personal ecommendations
- You can AFR as a tool to find short-term and middle-term trends, as it does it's best to find such trends;
- If are a scalper, then you probably should try AFR on low factor settings, as AFR alone can find good scalping entries.
- As AFR is a trend indicator, please use it with other confirmation indicator to make better entries.
Hope you will find this script useful.
Take your profits!
- Tarasenko Fyodor Indicator
Position and Profit/LossHelps users track their position and profit/loss in real-time.
Instructions :
Open the indicator settings
Input your Quantity, Buy Price, Fee, and Target Price
This indicator is designed to provide users with simple real-time tracking of their positions and profit/loss within a trading session. It offers clear and concise information that enables users to understand their current position's profitability, making it easier for them to manage their trades effectively.
Input parameters
qty : Quantity of the position (default value: 100.0). The target label is represented by a green cross
buy_price : Buy price of the position (default value: 1.0).
fee : Fee percentage for the transaction (default value: 0.0016). note that this is not a percentage, but rather a decimal. So 0.0016 is 0.16%
target : Target price for the position (default value: 1.0). This is an extra label to show you where your target is on the chart. The target label is represented by a green cross
In addition to the main profit/loss label, the script also displays two auxiliary labels. The "BuyPrice" label presents the buy price of the position as a red cross symbol on the chart, allowing users to easily identify their entry point. The "targetSell" label displays the target sell price as green cross symbol, indicating the desired exit point for the position. These visual markers help users visualize their trading strategy.
The script takes into account that users may only need this information displayed on the last bar, as continuous updates might not be necessary. By checking if the current bar is the last one, the script ensures that the labels are only displayed when relevant.
Limitations
The script assumes that trading is done using the same quantity; which is not always the case. This will change with subsequent updates. Indicator
Indicator
Indicator
Commission-aware Trade LabelsCommission-aware Trade Labels
Description:
This library provides an easy way to visualize take-profit and stop-loss levels on your chart, taking into account trading commissions. The library calculates and displays the net profit or loss, along with other useful information such as risk/reward ratio, shares, and position size.
Features:
Configurable take-profit and stop-loss prices or percentages.
Set entry amount or shares.
Calculates and displays the risk/reward ratio.
Shows net profit or loss, considering trading commissions.
Customizable label appearance.
Usage:
Add the script to your chart.
Create an Order object for take-profit and stop-loss with desired configurations.
Call target_label() and stop_label() methods for each order object.
Example:
target_order = Order.new(take_profit_price=27483, stop_loss_price=28000, shares=0.2)
stop_order = Order.new(stop_loss_price=29000, shares=1)
target_order.target_label()
stop_order.stop_label()
This script is a powerful tool for visualizing your trading strategy's performance and helps you make better-informed decisions by considering trading commissions in your profit and loss calculations.
Library "tradelabels"
entry_price(this)
Parameters:
this : Order object
@return entry_price
take_profit_price(this)
Parameters:
this : Order object
@return take_profit_price
stop_loss_price(this)
Parameters:
this : Order object
@return stop_loss_price
is_long(this)
Parameters:
this : Order object
@return entry_price
is_short(this)
Parameters:
this : Order object
@return entry_price
percent_to_target(this, target)
Parameters:
this : Order object
target : Target price
@return percent
risk_reward(this)
Parameters:
this : Order object
@return risk_reward_ratio
shares(this)
Parameters:
this : Order object
@return shares
position_size(this)
Parameters:
this : Order object
@return position_size
commission_cost(this, target_price)
Parameters:
this : Order object
@return commission_cost
target_price
net_result(this, target_price)
Parameters:
this : Order object
target_price : The target price to calculate net result for (either take_profit_price or stop_loss_price)
@return net_result
create_take_profit_label(this, prefix, size, offset_x, bg_color, text_color)
Parameters:
this
prefix
size
offset_x
bg_color
text_color
create_stop_loss_label(this, prefix, size, offset_x, bg_color, text_color)
Parameters:
this
prefix
size
offset_x
bg_color
text_color
create_entry_label(this, prefix, size, offset_x, bg_color, text_color)
Parameters:
this
prefix
size
offset_x
bg_color
text_color
create_line(this, target_price, line_color, offset_x, line_style, line_width, draw_entry_line)
Parameters:
this
target_price
line_color
offset_x
line_style
line_width
draw_entry_line
Order
Order
Fields:
entry_price : Entry price
stop_loss_price : Stop loss price
stop_loss_percent : Stop loss percent, default 2%
take_profit_price : Take profit price
take_profit_percent : Take profit percent, default 6%
entry_amount : Entry amount, default 5000$
shares : Shares
commission : Commission, default 0.04% Library
Indicator
Profit EstimateLibrary "profitestimate"
Simple profit Estimatr. Engages when Position != 0
and holds until posittion is na/0...
if position changes sizes, it will update automatically and adjust.
it has an input for comission to estmate exit fees
update_avgprice(_sizewas, _delta, _pricewas, _newprice)
Get a new Average position Price
Parameters:
_sizewas : (float) the position prior
_delta : (float) the order amount
_pricewas : (float) the prior price
_newprice : (float) the price of order
Returns: New Avg Price
amount(_position, _close, _commission, _leverage, _fullqty)
Position Net Profit Net Commission, automatic on/off if position != 0
Parameters:
_position : (float) position size (total or margin size)
_close
_commission : (float) % where (0.1 = 0.1%)
_leverage : (float) optional if leveraged, default 1x
_fullqty : (bool) if position entered is tottal trade size default is margin qty (1/lev)
Returns: quote value of profit
percent(_position, _close, _commission, _leverage, _fullqty)
Position Net Profit, automatic on/off if position != 0
Parameters:
_position : (float) position size (total or margin size)
_close
_commission : (float) % where (0.1 = 0.1%)
_leverage : (float) optional if leveraged, default 1x
_fullqty : (bool) if position entered is tottal trade size, default is margin qty (1/lev)
Returns: percentage profit (1% = 1) Library
Indicator
FBMAEN:
PulseWire indicator for FBMA strategy
People oftem ask: “Dmitry, BABA, TSLA, AAPL flies like a rocket! Well, what are we buying!?” - And I say no, the price does not act like a straight rocket upwards or downwards, instead it breathes, inhales moving away from the moving average and exhales returning to it, so we will wait for the first pullback and buy exactly at the value of the moving average.
Your new paradigm: wait for the stock to pull back to the moving average rather than chasing the price
And one more thing... Remember, you don't want to buy a stock when it's going down, you'll start to have doubts. it's against human nature to go long when the price is falling, but that's why this strategy works so well. We buy on the price rollback (pullback to the moving average), but we DO IT WHILE FOLLOWING THE TREND.
The biggest consequence of this strategy, my author's FBMA strategy and this is a game changer (results are in the comments).
So, let's dive into FBMA indicator settings:
Main settings
ATR Period — Period of intergrated ATR Indicator(shows ATR in a small dashboard);
Settings of Moving Averages
Sign Moving Averages? — shows values of moving averages near their lines on the chart;
Fix MAs' signatures overlapping? — automatically MAs' signatures overlapping (specifically for SMAs and EMAs!) ;
Fix MAs' signatures overlapping between SMAs and EMAs? — automatically group overlapping between EMAs' and SMAs' signatures;
Min distance between MAs' signatures (in % of ATR) — minimal distance between MAs' signatures that indicator will push away MAs' signatures from each other if they are overlapped;
Dashboard
Dashboard position — position of dashboard on the chart ( 9 options ).
Settings of MAs
Source;
Period;
Option for showing EMA and/or SMA of chosen period and source;
Line colour ;
Signature colour .
Addons
Show data by selected timeframe? — shows difference of current price opening and opening a "timeframe" time ago;
Shows MAs only if asset has grown by selected growth % in selected timeframe?
Growth, % — percent, which asset has to gain in order for MAs to be plotted;
Timeframe — frequency with which price's current and previous opening are being will be compared;
Show analog MAs' signatures? — shows MAs' value in a small table;
Show cloud between 1st and 2nd MAs? — shows cloud for both EMAs and SMAs simultaneously).
Price Action
This settings are intuitively understandable
Feel free to leave your questions or suggestions in the comments!
* Price Action-section was taken from ChrisMoody's CM_Price_Action and rebuilt.
RU:
Индикатор PulseWire для стратегии ПООС
Мне часто пишут в личку: “Дмитрий, BABA, TSLA , AAPL летит ракетой! Ну что покупаем!?”- А я говорю нет, цена не летит по прямой ракетой вверх, она дышит, делает вдохи отдаляясь от скользящей и выдохи возвращаясь к ней, поэтому мы дождёмся первого пуллбэка и купим точно на значении скользящей
Ваша новая парадигма: ждать акцию на пуллбэке к скользящей по тренду, а не гнаться за ценой
И ещё… Помните, вы не захотите покупать акцию в момент, когда она падает, вы начнете сомневаться т.к. это против человеческой природы заходить в лонг при падении цены, но именно поэтому эта стратегия работает так эффективно, т.к. мы покупаем на откате цены (пуллбэке к скользящей), но ПО ТРЕНДУ
Самое большее следствие из этой стратегии, моя авторская стратегия ПООС и это гейм-чейнджер (результаты в комментариях).
Итак, давайте посмотрим сами настройки индикатора:
Основные настройки
ATR Period — период интегрированного индикатора ATR (показывает ATR на небольшой панели);
Настройки скользящих средних
Sign Moving Averages? — показывает значения скользящих средних рядом с их линиями на графике;
Исправить перекрытие сигнатур МА? — автоматически сигнатуры СС перекрываются (специально для SMA и EMA!) ;
Исправить перекрытие сигнатур МА между SMA и EMA? — автоматически группировать перекрытие между сигнатурами EMA и SMA;
Минимальное расстояние между сигнатурами скользящих средних (в % от ATR) — минимальное расстояние между сигнатурами скользящих средних, при котором индикатор будет отталкивать сигнатуры скользящих средних друг от друга, если они перекрываются;
Панель управления
Dashboard position — положение таблицы на графике ( 9 вариантов ).
Настройки МА
Source;
Период;
Опция отображения EMA и/или SMA выбранного периода и source;
Цвет линии ;
Цвет подписи .
Дополнения
Показать данные по выбранному таймфрейму? — показывает разницу текущей цены открытия и цены открытия в прошлом, по времени равному величины параметра "Таймфрейм";
Показывает MA только в том случае, если актив вырос на выбранный % роста за выбранный период времени?
Прирост, % — процент, на который актив должен набраться, чтобы скользящие средние были построены;
Таймфрейм — частота, с которой будет сравниваться текущее и предыдущее открытие цены;
Показать сигнатуры аналоговых МА? — показывает значение МА в небольшой таблице;
Показать облако между 1-й и 2-й скользящими средними? — показывает облако для EMA и SMA одновременно).
Price Action
Эти настройки будут интуитивно понятны
Оставляете свои вопросы и предложения в комментариях, всё учтём!
* Price Action-section was taken from ChrisMoody's CM_Price_Action and rebuilt. Indicator
Q-TrendQ-Trend is an multipurpose indicatorm that can be used for swing- and trend-trading equally on any timeframe (non-volatile markets are better for this thing).
Settings:
Trend period - used to calculate trend line in the special moments(will explain below);
ATR Multiplier - changes sensitivity. The higher the multiplier = the more sensitive it is.
Also option to smooth source data (helps get cleaner signals, as always).
How to use?
Signals are given on the chart. Also ou can use trend line as S/R line.
The idea behind:
Terms:
SRС = Source
TL = trend line;
MP = ATR multiplier;
ATR = ATR :)
TL = (highest of source P-bars back + lowest of source P-bars back) / 2
Epsilon = MP * ATR
I was thinking for a week about combining volatility and relation between highest and lowest price point. That why I called indicator Q-Trend = Quantitative Trend , as I was trying to think about price in a mathematical way.
Okay, time to go philosophical:
1) TL is shows good price trend, but as it is slow enough and not enough informative, we need add additional conditions to produce signals.
2) Okay, so what can we add as conditions? We need to take volatility into account, as it is crucial in the moments of market uncertainty. So let's use ATR (Average True Range) somehow. My idea is that if SRC breaks TL + ATR , then it means that there will be upmove and we update our TL . Analogically for SRC breaking TL - ATR (breaks are crosses of TL +- ATR lines) .
Conclusion:
- if SRC breaks TL + ATR , it is a BUY signal and update of trend line;
- if SRC breaks TL - ATR , it is a SELL signal and update of trend line;
I think that such indicator already exisits on PulseWire, as I've already saw something similar, but long ago, so please don't report, if such thing already exists.
But if not, then I hope, that you will gain some profits with Q-Trend :)
I will continue my work on this thing, so stay tuned.
Trade with your own risks and have your profits!
Wish you all the best!
- Tarasenko Fyodor Indicator
Strategy
[EDU] Close Open Estimation Signals (COE Signals)EN:
Close Open Estimation ( aka COE ) is a very simple swing-trading indicator based on even simpler idea. This indicator is from my educational series, which means that I just want to share with another way to look at the market in order to broaden your knowledge .
Idea :
Let's take n previous bars and make a sum a of close - open -values of each bar. Knowledgeable of you may already see the similarity to RSI calculation idea . Now let's plot this sum and see what we have now.
We can see, that whenever COE crosses over 0-level, uptrend begins, and if COE crosses under 0-level, downtrend begins. The speed of such signals can be adjusted by changing lookback period: the lower the lookback, the faster signals you get, but high-quality ones can be obtained only via not-so-fast lookback as when the market is consolidating or volatility is to high, there can be many garbage signals, like 95+% of other indicators have.
Let's explore more and calculate volatility of COE(v_coe in the code): current COE - previous CEO .
Now it appears that when v_coe crosses over 0-level, it's a signal, that this is a new low and soon the uptrend will follow. Analogically for crossing under 0-level .
I guess now you understood what these all are about: COE crossings show global trend signals , while Volatility COE ( v_coe or VCOE ) crossings show reversal points .
For signals I further calculated volatility of VCOE(VVCOE) and then volatility of VVCOE(VVVCOE). Why? Because for me they seem to be more accurate, but you are welcome to experiment and figure best setups for yourself and by yourself, I just share my opinion and experience .
COE can be helpful only in high liquidity markets with good trend or wide sideways .
If you want to experiment with COE, just copy the code and play with it. Curious of you will probably find it helpful eventhough the idea is way too simple.
By it's perfomance COE can probably beat QQE at open price settings.
(use open of the price at indicator to get zero repaint! )
Examples :
If you any questions, feel free to DM me or leave comments.
Good luck and take your profits!
- Fyodor Tarasenko
RU:
Close Open Estimation ( aka COE ) — это очень простой индикатор свинг-трейдинга, основанный на еще более простой идее. Этот индикатор из моей образовательной серии, а это значит, что я просто хочу поделиться с другим взглядом на рынок , чтобы расширить ваши знания .
Идея :
Возьмем n предыдущих баров и составим сумму a из close - open -значений каждого бара. Знающие люди могут уже заметить сходство с идеей расчета RSI . Теперь давайте построим эту сумму и посмотрим, что у нас сейчас есть.
Мы видим, что всякий раз, когда COE пересекает выше 0-уровня, начинается восходящий тренд , а если COE пересекает ниже 0-уровня, начинается нисходящий тренд. Скорость таких сигналов можно регулировать изменением ретроспективы: чем меньше ретроспектива, тем быстрее вы получаете сигналы, но качественные можно получить только через не- такой быстрый взгляд назад, как когда рынок консолидируется или волатильность слишком высока, может быть много мусорных сигналов, как у 95+% других индикаторов.
Давайте рассмотрим больше и рассчитаем волатильность COE(v_coe в коде): текущий COE - предыдущий CEO .
Теперь кажется, что когда v_coe пересекает уровень 0, это сигнал о том, что это новый минимум и вскоре последует восходящий тренд . Аналогично для пересечения под 0-уровнем .
Думаю, теперь вы поняли, о чем все это: COE пересечения показывают глобальные сигналы тренда , а пересечения Volatility COE ( v_coe или VCOE ) показывают точки разворота .
Для сигналов я дополнительно рассчитал волатильность VCOE(VVCOE), а затем волатильность VVCOE(VVVCOE). Почему? Потому что для меня они кажутся более точными, но вы можете поэкспериментировать и подобрать оптимальные настройки для себя и для себя, я просто делюсь своим мнением и опытом .
COE может быть полезен только на рынках с высокой ликвидностью и хорошим трендом или широким боковиком .
Если вы хотите поэкспериментировать с COE, просто скопируйте код и поэкспериментируйте с ним. Любознательные из вас, вероятно, сочтут это полезным, хотя идея слишком проста.
По своей результативности СОЕ может составить конкуренцию широко известному QQE, используя open цены.
(используйте open цены на индикаторе, чтобы получить нулевую перерисовку! )
Примеры :
Если у вас есть вопросы, пишите мне в личные сообщения или оставляйте комментарии.
Удачи и профита всем!
- Федор Тарасенко
Indicator
Ichimoku Cloud with ADX (By Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
DMI is simple to interpret. When +DI > - DI, it means the price is trending up. On the other hand, when -DI > +DI , the trend is weak or moving on the downside. The ADX does not give an indication about the direction but about the strength of the trend.
Typically values of ADX above 25 mean that the trend is steeply moving up or down, based on the -DI and +D positioning. This script aims to capture swings in the DMI, and thus, in the trend of the asset, using a contrarian approach.
Trading on high values of ADX , the strategy tries to spot extremely oversold and overbought conditions. Values of ADX above 45 may suggest that the trend has overextended and is may be about to reverse.
This strategy combines the Ichimoku Cloud with the ADX indicator to better enter trades.
Long/Short orders are placed when these basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
MACD line crosses over the signal line
-DI is greater than +DI
ADX is greater than 45
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
MACD line crosses under the signal line
+DI is greater than -DI
ADX is less than 45
The script is backtested from 1 January 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on MATIC (15m timeframe), ETH (5m timeframe), and SOL (15m timeframe). Strategy
ALMA/EMA/SRSI Strategy + IndicatorBack with another great high hit rate strategy!!
Disclaimer* This strategy was sampled using source code written by @ClassicScott , as referred to in the script, there is a clear line where the source code was scripted by myself.
This Strategy consists of three key factors, the ALMA, EMA crossover, and a Stochastic Rsi
ALMA: The Alma is the step line shown, turning green and red at select times. This average value gives general oversight of the macro movement of price action. and this particular one was coded by Mr.ClassicScott.
EMA crossover: At the input screen you are given an option of the fast and slow ema's. The default is solely for the hit rate and correlation to the Alma of this strategy. The arrows you see depicted on the chart are the crossover events happening.
Stochastic Rsi: The Stochastic Rsi is a stochastic value, using data sampled from the rsi. The use of this indicator in my strategy is to prevent entries when too overbought and oversold, as well as closures and vice versa, to prevent holding bags either way.
Fixed % TP: In the input screen you are given a take profit and stop loss percentage, for good R/R the hit rate will take a notch down, but with no R/R it will be near perfect.
How to use this:
Add it to your chart to get the strategy inputs. (The strategy is really only useful on a 15min TF. However the indicator within it can be used on anything at anytime!)
Watch the yellow and aqua moving averages, these are your ema's and crossover's will trigger signals based on your integer inputs.
Find Correlation between other leading indicators, as well as crossover's down/up and a red/green alma.
DO NOT use the arrows as buy/sell signals. These are simply to show ema's are crossing under or over. Momentum indicator's paired with this can be useful to determine if it could be a buy signal or sell signal.
Cheat Code's Notes:
Almost at 1000 boosts!!! I appreciate the support from everyone and I will keep trying my best to deliver quality strategies for the people.
-Cheat Code
BYBIT:BTCUSDT
Strategy
Indicator
Ichimoku Cloud with MACD (By Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 12-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
This strategy combines the Ichimoku Cloud with the MACD indicator to better enter trades.
Long/Short orders are placed when three basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
MACD line crosses over the signal line
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
MACD line crosses under the signal line
The script is backtested from 1 June 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on MATIC (1h timeframe), AVA (45m timeframe), and BTC (30m timeframe). Strategy
Strategy
Indicator
Indicator
Ichimoku Cloud with RSI (By Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
This strategy combines the Ichimoku Cloud with the RSI indicator to better enter trades.
Long/Short orders are placed when three basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
RSI is greater less than 50
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
RSI is greater than 50
The script is backtested from 1 June 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on SOL (45m timeframe), BNB (1h timeframe), and ETH (1h timeframe). Strategy
Indicator
