FuriousFX Trading Confirmation ListThis is a simple script that allows user to define the confirmations, position them (pin them) to the top middle bottom left or right on the screen and check them off
Once the user checks the confirmation it changes from red or any other default color to green (indicating it has played out).
There are similar script out there but what makes this script unique is one how it is generated and more importantly the mechanism of changing color.. You also have the option to pick from a pick list in the options of how many (up to 10) confirmations you want to generate and you can define change them at any time..
To use this script simply do the following :
1) add it to your chart, double click on the default table
2)select the desired number of confirmations
3)Select the desired position and default colors (default is top right and dark red)
4)Define your criteria for confirmations in appropriate boxes by writing over the default values
5)Start using it, when you see your desired confirmation, double click on the table again and select "Confirmed?" check box.. Once selected the color of that confirmation will turn green...
This script is done to keep people disciplined and enter only according to their trading strategy, as we all know that the biggest reason why people lose in trading is impatience fear and greed...
This script attemps to solve problems of overtrading, entering too early or too late..
Hope you guys enjoy it..
Feel free to write comments for improvements or copy it for your needs.
Portfolio Management
Asset Selection Indicator by [VanHelsing]Asset Selection Indicator
This is a table what will help you to see what asset's are optimal to use in your portfolio or strategies.
By different metrics what are ploted on a table you will see how each individual asset performe compare to other
Sharpe, sortino, omega ratio's are very valueble metriscs in bulding portfolio and now you can easly see them without difficult calculations.
Do you want to know return of asset for 3, 5, 2 years? You are welcome to choose in settings whatever period you want, the same for other metrics
Below is instruction how to use this indicator:
(Explanation of Settings for a period of data)
(Asset selection by Sharpe, Omega, Sortino, StDev)
(How to plot Equity)
And a nice bonus is an alert!
(you can send it to a spreadsheet like I explained in other my indicator "Stock Correlation Table")
Average Cost (Costo Promedio)ENGLISH
This 'Average Cost' script allows the user to input and visualize profit or loss for different stocks (up to 50) with average cost and quantity data on a single chart. This is useful for tracking the profit or loss of each stock in real-time.
To use this script, the user should follow these steps:
1. Add the 'Average Cost' script to your TradingView chart.
2. In the script's configuration window, input the tickers, average costs, and quantity of shares for each ticker you want to monitor.
3. Click 'Accept' to apply the changes.
This script is primarily designed for stock markets, but can also be useful in other financial markets where the user is interested in tracking the performance of multiple assets.
ESPAÑOL
Este script de "Costo Promedio" permite al usuario ingresar y visualizar si hay ganancia o perdida para diferentes acciones (hasta 50) con los datos de costos promedio y cantidad de acciones en un solo gráfico. Esto es útil para realizar un seguimiento de la ganancia o pérdida de cada acción en tiempo real.
Para utilizar este script, el usuario debe seguir estos pasos:
1. Agregue el script "Costo Promedio" a su gráfico en TradingView.
2. En la ventana de configuración del script, ingrese los tickers, costos promedio y cantidad de acciones para cada ticker que desee monitorear.
3. Haga clic en "Aceptar" para aplicar los cambios.
Este script está diseñado principalmente para los mercados de acciones, pero también puede ser útil en otros mercados financieros donde el usuario esté interesado en rastrear el rendimiento de múltiples activos.
TENKAN SCALPER STRATEGYTENKAN SCALP is a fully automatic trading system.
It is a continuation of our previous ichimoku release. This time however we throw out the rule book and use ICHIMOKU in a very different way.
It applies non traditional money management tactics.
While most trading strategies rely on a stop loss and a take profit target to manage risk. This strategy uses either no stop loss at all or a time based stop loss.
You might ask yourself the question why would you keep a trade open if it goes against you? Here are a phew reasons why the script does what it does.
Forex Markets consolidate most of the time. If you wait long enough your Take Profit will get hit anyways most of the time
You don't have to risk everything per trade. I keep my orders small so to keep some powder to get into some more trades
All the extra trades you take while one trade is in drawdown limit the drawdown as they provide cashflow
On lower timeframes the markets are so chaotic that a stop loss is very likely to get hit by a wick
About backtest below
This backtest uses a spread of 2 pips for entries and a default position size of 100% of equity. This is only possible on exchanges where spread is low and you have 10:1 leverage or more. It does not represent results obtainable without leverage. Do take into account that there are a lot of forex exchanges that provide this leverage, however a 2 pip spread is not always guaranteed and only applies to major pairs.
This backtest does not use the TIME BASED STOPS functionality.
Always start with small position sizing and see how the strategy performs before adding risk.
Explanation of variables:
Chikou(lagging span): pink line, this is price plotted 26 bars ago. People ignore the power of this it is crucial to see how chikou behaves towards past price action as seen in the chart below where we got an entry at red arrow because chikou bounced from past fractal bottom.
Kijun-Sen(base line): Black line or color coded line. This is the equilibrium of last 26 candles. To me this is the most important line in the system as it attracts price.
Kijun = (Highest high of 26 periods + Lowest low of 26 periods) ÷ 2
Tenkan-Sen(conversion line): Blue line. This is the equilibrium of last 9 candles. In a strong uptrend price stays above this line.
Tenkan = (Highest high of 9 periods + Lowest low of 9 periods) ÷ 2
Senkou A (Leading span A)= Pink cloud line, this is the average of the 2 components projected 26 bars in the future.
Senkou A = (Tenkan + Kijun) ÷ 2
Senkou B (Leading span B) = Green cloud line, this is the 52 day equilibrium projected 26 bars in the future.
Senkou B = (Highest high of prior 52 periods + Lowest low of prior 52 periods) ÷ 2
projection: Script uses same function for variable calculation and substracts a number on each next bar as to make a projection of where the variable will be in future bars if price stayed the same. This works as ICHIMOKU calculations use the middle point of a past set of data. The shorter that amount of bars will be in line with the data that it will be restricted to in future if price stayed the same.
Detection of Market Environment
To enter trades the script uses a lot of ICHIMOKU concepts. Contrary to how most people trade ICHIMOKU this script takes an environment that ICHIMOKU identifies as trending upwards and shorts in that environment. The same will be applied to a downtrend where it will open LONGS.
List of CRITERIA for a trend:
Grapling Hook: this is a component based on the chikou span (closing price displaced 26 bars into the past). The script will use an ATR based range to define a possible future projection to the CHIKOU line. For a market to be bullish there should be no price action happening within this area. Market is free to move upwards. Vice versa for bearish .
Kumo Cloud: script will check if price is above the cloud for bullish trend and below cloud for bearish trend .
Chikou above Kijun: script will check if the chikou line is above the KIJUN line of 26 bars ago. This is further confirmation that price is trending high enough compared to it's past data. Vice versa for downtrend.
Kijun projection: script will check if past Kijun is lower than future projected Kijun. This to ensure we get an equilibrium in our favour in the future. Vice versa for downtrend
Tenkan projection: script will check if future Tenkan-sen will be higher than Kijun-sen for an uptrend. Vice versa for downtrend.
Cloud projection: script will check if in 9 bars the Senkou Span A will be higher than Senkou Span B for an uptrend. Vice versa for downtrend.
Example:
This script does not visualise the prediction lines like I show in the example. I show them here to clarify how the script works.
Usage
Backtests are not indicative of future results, although a trader may want to use a strategy script to have a deeper understanding of how their strategy responds to varying market conditions, or as a tool for identifying possible flaws for a strategy that may be indicative of good or bad performance in the future.
Strategy Settings:
Minimum Body Size (atr): this is the minimum ATR a signal bar needs to be for entry. This is useful because our TP is based on previous bar.
Lot size per trade: this setting does not impact backtest. It is used to for the signals to let tradingconnect.com know your position size.
Direction: do you want to trade longs or shorts. I personally use both a long bot and a short bot at the same time.
Positions Allowed: the amount of positions the script will keep open as a maximum. You do not want to open too many positions, this is for risk management.
Close all positions at drawdown: if total open positions loss gets to this % target it will close all positions.
MetaTrader Prefix: when the script sends a signal it will put this text right before the symbol name from syminfo.ticker
MetaTrader Suffix: when the script sends a signal it will put this text right after the symbol name from syminfo.ticker
Charts below are some examples on how the script handles orders on default settings:
without time based SL
with time based SL
how it handles pyramiding
www.tradingview.com
Tradingconnector.com:
For full automation of the forex market the script uses this connector to execute trade on MT4. The alerts the script sends using the alerts() function call are structured in a way tradingconnector will recognise and send directly to MT4. You can find documentation about this tool on their own website.
Personal recommendation is to start with a minimum lot size and track performance, if you are comfortable scale the size up. You can do that by increasing the lot size setting in the script and making a new alert. Make sure to delete the old one.
How to access
You can see the Author's Instructions below to visit our telegram to get more information on how to get access.
Stock Intrinsic Value & MOS IndicatorStock Intrinsic Value and MOS Indicator is a powerful tool that can help investors to evaluate the potential value of a particular stock. By taking into account key financial metrics such as earnings per share, price-to-earnings ratio, and dividend yield, this indicator provides a comprehensive analysis of a company's fundamentals, and can be used to estimate its intrinsic value.
To use this indicator, simply input the relevant financial metrics for the stock you're interested in from Yahoo finance, including the P/E ratio, earnings per share, and dividend yield. The indicator will then calculate the stock's intrinsic value based on these inputs, taking into account the company's earnings potential and dividend payments.
In addition to calculating the intrinsic value, the Stock Intrinsic Value and MOS Indicator also allows investors to add a margin of safety to their analysis, which can help to account for unexpected market events or uncertainties. By adding a margin of safety of 20% - 30%, for example, investors can ensure that they are buying the stock at a significant discount to its intrinsic value, providing a cushion against potential losses.
Using the Stock Intrinsic Value and MOS Indicator can be a valuable tool for investors looking to make informed decisions about their investments. By taking into account key financial metrics and adding a margin of safety, investors can be more confident in their investment decisions, and can potentially maximize their returns over the long-term.
However, it's important to remember that the Stock Intrinsic Value and MOS Indicator is just one tool among many that investors can use to evaluate potential investments. As with any investment strategy, it's important to conduct thorough research and analysis before making any investment decisions. Additionally, it's important to keep in mind that no investment strategy is foolproof, and that even the most well-informed investment decisions can still result in losses.
Overall, the Stock Intrinsic Value and MOS Indicator can be a valuable tool for investors looking to evaluate potential investments and make informed decisions about their portfolio. By using this indicator in combination with other tools and strategies, investors can potentially maximize their returns and achieve their long-term investment goals.
Ultimate P&L IndicatorHello everyone,
Excited to release this P&L Indicator! Read below for more details.
What it does:
This is an indicator that permits you to track your active P&L live on Tradingview. As well, it provides some insight into DCAing your position by giving you live estimates of your revised DCA if you were to add to your position at various targets/price points.
Who is it for:
I developed it because I trade 100% off of Tradingview but my broker does not support Tradingview integration. So I wanted a way to track my position live on the Tradingview platform without having to constantly reference my broker. I also wanted to be able to set position specific alerts right on Tradingview.
How does it work:
It works by the user manually inputting their trade information, including their DCA, position size and the date and time of position entry. The indicator can provide real time and live DCA adjusted estimates if you were to add to your position at the current stock price, or you can manually calculcate your revised DCA at a specific price target.
The indicator also displays your current and past performance on your position for the duration of the position period:
Elements:
Capabilities:
The indicator is compatible with both futures and share trading.
Option trading is not directly available, however, you can get an idea for your option position P&L by following the 1 option contract = 100 share rule.
So if you have 5 option contracts that you bought at a ticker price of, say, 38$, your average cost or DCA would be 38 and your position size would be 500. This will not be 100% accurate, but will be close enough to give you a feel for your active P&L.
If you are trading futures, you will need to select "Futures Trading" and specify the TIck and Index costs. A cheat sheet has been provided in the tool tip for ES, Oil and MNQ. The default is set for ES1! mini futures at 0.25 ticks per 50$.
Important tips:
1. Select the date and time of your position (optional): This is optional but will provide you with the clearest and most accurate review of how your position has performed, including the highest and lowest (drawdown).
2. Select whether it is a share position or a futures position (this is required).
3. Select whether it is a long or short position (this is required).
4. Input your DCA and position size (this is required).
5. Most importantly, select the ticker your position is based in!
I have also prepared a quick start video which is linked below:
As always, please let me know your comments/questions and feedback for the indicator.
Thanks for checking it out and safe trades everyone!
Price Data LabelThis indicator gives you the ability to see historical data for each bar on the chart by simply hovering over the high of the bar, similar to the functionality of MarketSmith.
Data for each bar includes:
Open
High
Low
Close + Change
Percentage Change
Closing Range
Volume
Volume Percent based on 50 day average
Distance to 4 selectable moving averages
Example of stats on a historical bar:
* Note this only works on the last 500 historical bars. If you use bar replay it will work with 500 historical bars from the last bar.
* If you have multiple indicators on your chart, in order to see the data you will need to use visual order to bring to front. This can be done by clicking the three dots next to the indicator name and selecting visual order.
basilGrid GridBot Live [basilChart]This strategy is a full implementation of Live Grid Trading.
Prominent features of this live grid trading strategy are:
- Logarithmic Chart Support: This strategy can support Log Scale on graph. Meaning that grid lines won't have irregular gaps in between the lines if you would like to view the chart Log Scaled. Every line will be aligned correctly even if you use Log Scale or not.
- Precise Buy & Sell: Script will execute precise Buy and Sell orders.
- Dynamic Grid Level Count: From 2 grid levels to n amount of grid levels are supported. There is no limitation on grid level count, however there may be irregularities because of limitations when higher grid levels are used. You can pick any number starting from 2.
- Average Price: Traders can monitor average price of positions.
- Alerts: When order is filled trader can receive notification. Create new alert > Select basilGrid Live > Order fills only()
Characteristics of this script:
- Able to fill more than one order in one single candle.
- Levels will keep being updated with every trade.
- There will be always one grid level ignored and it will be the level which made the last order filling possible. This is normal behavior of grid trading system.
- You can both use Log Scale and Normal Scale with this script. No issue will be on grid levels.
Using the script:
- Add this script to the chart from indicators tab
- Set starting date for the live grid bot either by dragging and dropping the vertical line or by the date-time picker from indicator Inputs tab.
- Set highest and lowest limit for the script. These will be the boundary limits. Highest and lowest price for the script to work on. Lines will populate between these two values
- Set grid level count. Number of levels of the grid.
- Set amount to spend on per level. This quantity of order will be placed on each level when needed.
After setting the above settings, there is one last thing to do in order to get precise results. It is setting the Initial Capital.
- We can set this setting from 'Properties' tab. Named 'Initial Capital'. After setting the boundaries all we need to is to navigate to TradingView's own 'Data Window', and get the value there. Then paste it on the strategy's own related setting area.
In this example we used pair BTCUSDT 1D timeframe, our settings are:
Inputs Tab:
- Grid Count: 19
- High Limit: 65 500
- Low Limit: 15 000
- Quantity per level: 0.1
- Toggle Log Scale: Checked (because I always use Log Scale on charts, if Log Scale is turned on for the chart, this needs to be checked)
- Terminate Grid At The Upmost Level: Not checked
- Show Grid Levels: Checked
- Show Average Position Price: Checked
Properties Tab:
- Initial Capital: 22 628
- Slippage: 5
- Commission: 0.1% (this is the broker commission value)
This script's purpose is to make it easier to get the idea of grid trading, experiencing it in live session.
7 Week RuleThe 7 week rule was shared by Gil Morales in his book “Trade Like an O’Neil Disciple”. The rule is described as: Stocks that have shown a tendency to “obey” or “respect” the 10-day moving average for at least 7 weeks in an uptrend should often be sold once the stock violates the 10-day line. A “violation” is defined as a close below the 10-day moving average followed by a move on the next day below the intraday low of the first day.
This indicator makes using the 7 week rule easy. Once a stock has closed above its selected moving average (10SMA by default) for 35 days the 7 week rule is triggered. Once the stock then “violates” the moving average, a sell signal is printed on the chart.
Indicator Customizations
Moving Average Length & Type
Show or Hide Moving Average
Show Running Count of Days Above Selected MA
Highlight When 7 Week Rule Triggers
Option to Show First Day Above MA
Indicator is dynamic and will continue the count if no violation occurs.
basilPort Portfolio Tracker Pro [basilChart]This script is helps giving detailed information about the portfolio.
Prominent features of this portfolio tracking indicator are:
- Chart of your portfolio: This portfolio tracker let’s you view the chart of your portfolio real-time.
- Visualized Profit/Loss: Indicator will let you know of your profit and loss on the chart.
- In-Depth Monitoring: Most Gained 1st, 2nd, 3rd and Most Lost 1st, 2nd, 3rd.
- All Time Highs: Let’s us view All Time Highs on the portfolio chart for each equity on the chart.
- 40 Different Symbols: Supports monitoring 40 different symbols at the same time, real-time.
- 10 Pair Detailed View: For the first 10 symbol in our portfolio, indicator supports viewing detailed info about each of them. Such as: Price, Cost, Qty, Profit Percentage, Chart TF Profit Percentage, Weight
basilPort Portfolio Tracker Pro indicator can be used to:
- Track your investments: The basilPort Portfolio Tracker allows you to enter all your investments and their associated details, such as the ticker symbol, purchase price, and quantity. It then calculates your total portfolio value, including gains and losses.
- Monitor portfolio performance: Provides an overview of your portfolio's performance over time. You can see how your portfolio is performing on a daily, weekly, or monthly basis, and compare it to the performance of the overall market.
- Analyze asset allocation: Helps you analyze your portfolio's asset allocation, which is the percentage of your portfolio invested in different symbols. You can use this information to adjust your portfolio and diversify your holdings.
- Set investment goals: You can use the Portfolio Tracker to set investment goals and track your progress towards achieving them. For example, you can set a goal of achieving a certain rate of return or accumulating a specific amount of wealth by a certain date.
Overall, the Portfolio Tracker is a useful tool for investors who want to monitor their portfolio's performance, evaluate their investment strategies, and make informed investment decisions.
Best and worst 3 performers in our portfolio:
From Data Window, script let’s us see the best and worst 3 performers in our portfolio. To know how to read it we follow this pattern:
- Check 1st Gained value.
- Find the nth symbol from script’s Inputs tab.
- Check 1st Gained to see its Profit Percentage.
An example scenario to reading Data Window is explained at the very end of the description.
Using the script:
- Add this script to the chart from indicators tab
- Set starting date for the basilGrid Portfolio Tracker Pro either by dragging and dropping the vertical line or by the date-time picker from indicator Inputs tab.
- Set symbols and enable them to monitor with this indicator.
- Set quantity and price information for the symbols you have selected.
- Set visual settings to tailor your experience.
basilPort Portfolio Tracker is an indicator that allows you to track and analyze the performance of your investment portfolio over time. It's a helpful tool for investors who want to monitor their holdings and evaluate their investment strategies.
In this example we used pair BTCUSDT 1h timeframe, our settings are:
Inputs Tab:
- Start Date: 2022-12-13 13:00
- Show All Time Highs: Unchecked
- Show Pair Data (First 10): Checked
- Show Total Data: Checked
Symbols:
- BINANCE:ETHUSDT Qty 4.2 Price 1 332
- BINANCE:BTCUSDT Qty 0.5 Price 17 469
- BINANCE:BNBUSDT Qty 20 Price 270
- BINANCE:AVAXUSDT Qty 200 Price 13.61
- BATS:PYPL Qty 50 Price 78.5
- BATS:AMZN Qty 40 Price 95.4
- BATS:ETSY Qty 40 Price 135.64
For example, if you check Data Window, you'll see the following:
An example scenario:
- Bought Portfolio Value 39142.98 => The cost of the portfolio
- Current Portfolio Value 39142.98 => The current value of the portfolio
- 1st Gained 2.00 => The most gained symbol's index. (Checking the Symbols what we see on the 2nd spot is this symbol, we can see this value indicates BINANCE:BTCUSDT)
- 1st Gained 28.09 => Means BINANCE:BTCUSDT is +%28.09
- 2nd Gained 4.00 => Again, after checking the Symbols, we now know what this value indicates. It is AVAXUSDT.
- 2nd Gained 18.59 => Means BINANCE:AVAXUSDT is +%18.59
..
And so on to Lost section. Only difference between Gained and Lost section indicates Lost equities.
This script's purpose is to make easier to have more control over the portfolio. With in depth data that’ll help with decision-making.
ICT Imbalances (fadi)ICT Imbalances focuses on highlighting the imbalances described by ICT Se imbalances usually act as a price magnet where price tend to revisit to mitigate the imbalance and can act as support and resistance.
It is important to understand that, while they do act as price magnet, they are not all places for entries. What they do provide, is a price understanding and possible areas of reversal based on the bigger picture and trading strategy.
There are four types of imbalances covered by this indicator:
Fair Value Gap (FVG)
Fair value is when, at any given price, both buy and sell sides are offered. For every up move, there is a down move. Fair value Gap is an imbalance where price moved too quickly before offering both buy side and sell side at a given price.
Implied Fair Value Gap (IFVG)
Implied Fair Value Gap is when the first and third candle have overlapping large wicks. The IFVG is the area between the half point of first and third candles.
Volume Imbalance (V.I.)
Volume imbalance is when the price creates a gap between the close of one candle and the open of the following candle with overlapping wicks.
Gap
An area where price gaps up or down leaving a void where price did not trade in. This is most common on higher timeframes and when one day ends and the next day begins.
Settings
ICT Imbalances provides the following options
- Show or hide specific imbalance to keep the chart clean
- Background color of the box highlighting the imbalance
- Box width in the form of how many candles the box extends to
- Show or Hide the Half Mark of the box, only applies to FVG and IFVG
- Show or hide a Legend that explains which colors represents which imbalance
TSG 5% Daily CalculatorThis is a calculator I've created to help visualize Target and Risk Levels based on leverage use to trade crypto.
How to use it ?
Basic Use:
- Set the Direction of your trade - either Long or Short
- Set the Leverage you use in your trade - it is crutial to define the risk and target levels
- Set the Risk Amount you want to risk (in %) of your total balance ( Advised 2-3% )
- Set the Target Amount you want to profit at the target (the idea of this is 5% daily, so 5%).
- Set Entry Price if you have opened a position, and you will visually see your progress. Otherwise the levels will be adjusted to the Close of the candle.
Additions:
- Set your Initial Balance - to help you visualize on the Table your progress
- Set your Current Balance - for visualization purposes on ongoing trades and on the Table
- Entry Date - Advised to set it when you open a trade - you will be tracking the progress of your trade since the candle on which you opened it
- Show Table - to show the table of 5% daily and the target it is set on per day
- Table Size - Set table to be small or normal
- Together with the Table you have a big blue area behind that ends on the day you will become a Millionaire based on the Initial Balance, Current balance and Target % in your inputs
Investing Performance with vs without feesHello traders,
I had a chat with a friend recently who's using a fund manager services to invest for him in some US-based ETFs tracking the US indices.
I showed him using an online tool that those 2% annual fees he's paying to his fund manager are eating a lot of his profit overtime.
As I had some time, I decided to code this simulator in Pinescript because .... why not :)
@RicardoSantos already did that Compound Interest function ()
I added the n parameter being the number of times the interest is compounded per unit of time
Compound interest is calculated using the following formula
CI = P*(1 + R/n) (n*t) – P
Here,
P is the principal amount.
R is the annual interest rate.
t is the time the money is invested or borrowed for.
n is the number of times that interest is compounded per unit t, for example if interest is compounded monthly and t is in years then the value of n would be 12.
If interest is compounded quarterly and t is in years then the value of n would be 4.
For now, the script only works on a yearly chart - I might update it later making it compatible with other chart timeframes - assuming there is some demand for it
If there is, let me know in the comments down below
All the best
Dave
Broadview Economic StudioThank you for taking the time to read this description. We'll be taking a look at the Broadview Economic Studio. This has been a work-in-progress for years and is a very powerful tool for planning trades with complex volume scaling strategies. We will be talking about many indicators and types of indicators used in the public domain, but it is NOT recommended to reverse engineer our scripts as there is quite a bit of logic in the code that works to make each common approach entirely unique. So although you may understand quite a bit about oscillators, the way they work with the rest of the logic within the script may change the way you know them to work from elsewhere.
In the chart snapshot above you'll see a mild configuration where I only had to tweak a few settings. Commissions are set to 0.1%, starting capital is set to $10,000, and slippage is off. In my tests orders came through less than a penny off. Generally speaking, there are really only two situations in which you should be concerned about slippage. The first is if you trade really low timeframe charts like the 1 second. This tool, while it works for any timeframe, is programmed on the 45 minute timeframe and works best there. The other situation in which you should be prepared for slippage is if you're using extremely high volume trades in the hundreds of thousands or millions depending on the market cap and liquidity of the asset you're studying. Large orders like that have to be split up among several deals and that can cause slippage.
There are 31 primary inputs for users to tweak. Each input is grouped within a module called a Suite. Each suite has a focus like filtering signals or strategically allocating volume according to your strategy. Everything starts with the Origin Suite. The Origin Suite is a group of inputs that generates Tops & Bottoms from price action. It uses math like Rate of Change, where one can specify a required rate of change before an Origin signal can be made, and users can specify how much lower in price a bar must be compared to previous bars. So with the Origin Suite, users can control how often they want to see originating signals and under what conditions they can appear.
We used to use WVF and CVI to produce top and bottom signals, but our Origin Suite works much better for systematically generating profitable configurations.
The triangles you see on the chart represent markers, potential signals, or Prop Signals as they're referred to within the script. The blue arrows represent trades where Prop Signals were allowed to pass as true long signals. There are two ways to ignore Prop Signals. You can filter the markers entirely, or you can reduce their volume scaling to the minimum which is usually $10 for most exchanges. We're first going to be talking about some of the primary DCA inputs before we talk about the technology we use to filter and overload signals.
Here are some important features found within the script:
Base Orders
Safety Orders
Take Profits
Change-Based Volume Scaling
Ignoring Low or Medium Changes
Overloading
Filtering
Alert Messages w/ Volume Scaling
Let's walk through each of these features in more depth.
The Base Order is the initial Long position within a series. It comes in first and is followed by all of its Safety Orders. The Base Order is set to $25 within the script by default. Keeping the base order low allows one to reserve more of their capital for Safety Orders that are lower within a dip, and thus, lower the user's Position Average. The primary feature of this script is to help users plan their volume scaling strategically, and this is where we start. It's this kind of due diligence and effort in protecting trades that makes this script unique.
So we start with a low Base Order. Then, we follow with a lot of Safety Orders. Typically in DCA this is done in consistent time intervals and in consistent amounts. So in regular DCA one may invest the same amount bi-weekly on pay day. They use the financial instrument as a sort of savings and average their position over their consistent investments. This is not where the bleeding edge of DCA is today though. In modern Doller Cost Averaging, I would expect to see signals and volume scaling based on logic.. as opposed to being consistent intervals.
This sets up the explanation of the primary means of volume scaling within the script. Mathematically, we start with the net balance. This is your specified starting balance plus any wins or losses. Users specify what % of their Available Balance they would like to start with when volume scaling. This percent of capital is then multiplied by a Safety Order Multiplier. The safety order multiplier is made up of a number specified by the user, multiplied by the number of the Safety Order you're on. So user's can control this equation/algorithm and scale their investments as the number of Safety Orders increases and drops in price become more opportune.
The Take Profit within the script lets users specify their desired ROI from a series. So if a user sets a 60% take profit, the script will set a price from the position average that when reached will give the user a 60% ROI for the series including its Base Order and all its Safety Orders.
Before moving on, let's talk about the amazing internal reporting found in the script. When you zoom in on the blue arrows, you can see each trade is accompanied by some extremely helpful information. This is just another feature that makes this script unique, it is the feature that gives us accurate reporting and ultimately allows us to connect with TradingView's Strategy Tester in a way that provides instant backtests with good merit. With this reporting not only can users get reports and information on trades made on different assets with different configurations, but user's can perform a deep dive on each configuration and know exactly what was going on for each trade. The first number is the number of the safety order the script is on. Remember, this is used in the primary volume scaling math. The second number is the amount the script spent on the current trade. The third number denotes the cumulative spending for the series. The final number displays the script's available balance at that time. With these numbers, the TradingView Strategy Tester, and the List of Trades feature, users can practice as much due diligence as they need during their studies.
Let's move on to talking about my favorite suite within the script, the Volume Scaling Suite. Here there are two primary means of controlling volume scaling. Although, in the near future there will be more.
In this suite you'll find Change-Based Volume Scaling and Position Average Volume Scaling. Position Average Volume Scaling is quite easy to explain. This feature only allows signals to pass if they are lower in price than your base order. In this way, users can apply most of their capital to trades that lower their position average. Simply having the money in the market can boost profits, but having a lower Position Average is the entire reason we DCA. Change-Based Volume Scaling is quite a bit more complex.
In theory, one could argue that every moment is a great moment to buy. It's just that some moments are more opportune than others. So it's not about perfect signals as much as it's about proper volume scaling.
Change-Based Volume Scaling allows us to set rules that dictate how much volume scaling is used based on the asset's current delta, or Rate of Change.
Using CBVS, one can downscale capital applied to signals with a low ROC, or simply ignore them. So if a signal comes in and the price hasn't changed very much then you can automatically use less volume for the trade. One can do the same thing for medium changes, and the user can specify what quantifies as a low or medium change. Users can give extra volume to signals with a greater rate of change, or overload signals with a high rate of change! So the CBVS feature gives users the ability to allocate volume based on logic rooted in the asset's rate of change. If a signal has dropped a lot in price, then generally, it is deserving of more capital and that's what makes this feature unique and so powerful.
There are two kinds of Overloading found in the script. There's overloading from CBVS, and then overloading from the 4 signal filtering suites. There's an important difference to note before we move on. Overloading performed by CBVS is based on ignored signals. So if you ignore low or medium change signals, and you have CBVS Overloading on, the script will allocate more capital to High Change signals. When signals are ignored, they are downscaled to $10. Whereas with the filtering suites, if a signal is filtered the Prop Signal triangle marker is removed entirely. The overloading in that scenario is simply applied to signals that aren't filtered. The reason it's done this way is because allowing ignored signals to still come in, with the lowest volume scaling possible, keeps the Safety Order count rising which works in the volume scaling math. This math is intrinsic to getting capital deep within dips and crashes.
So in future versions we may allow ignored signals to be filtered out entirely but for the time being, simply scaling them down to the lowest possible amount is what produces the best and most consistent configurations.
Let's talk about filtering signals, and the overloading provided within each filtering suite.
Here you can see our Overbought & Oversold Heatmap V3. This is a unique indicator that takes 15 common oscillators and visualizes them in a way that clearly denotes confluence. Looking at this indicator makes it easer to read cycles and trends. It is quite common for investors to base their entire scripts on one or more of the oscillators found within the OBOS Heatmap V3. So the OBOS Heatmap V3 is an awesome way to ensure your signals follow an oversold trend! The orange represents an oscillator being oversold, while the yellow represents it being overbought. Generally, when an asset is oversold it is a better time to buy. One can filter signals based on this information and use the Heatmap's unique ability to quantify confluences. In this script users can set a sensitivity and that sets the number of oscillators that must be in agreement before a signal is allowed to pass.
Here are the oscillators found within the OBOS Heatmap:
*Please keep in mind that although some of these oscillators may have big names, the code and math in the script may work differently than you're used to. This is because the code and math is changed quite a bit, and the overall intended functionality of the OBOS Heatmap has a larger scope than any one indicator. It's also important to note that the lengths for these oscillators are set low and are meant to classify the individual signal as either overbought or oversold, and not the entire period. So while the OBOS Heatmap is awesome for trends and cycles, it's ultimately meant to classify individual price bars as either overbought or oversold according to a consensus.*
Relative Strength Index
Money Flow Index
Commodity Channel Index
Aroon Oscillator
Relative Volatility Index
Fast Stochastic Detrended Price Oscillator
Fast Stochastic Elders Force Index
Fast Stochastic Relative Strength Index
Fast Stochastic Relative Vigor Index
Fast Stochastic Klinger Oscillator
Fast Stochastic Awesome Oscillator
Fast Stochastic Ultimate Oscillator
Fast Stochastic Chande Momentum Oscillator
Fast Stochastic On Balance Volume Oscillator
Fast Stochastic Moving Average Convergence/Divergence
Each band of the Overbought & Oversold Heatmap represents an oscillator. When it's orange it's said to be oversold. When it's yellow it's said to be overbought. The indicator turns purple during trends and reversals where it is neither overbought nor oversold. It can differentiate between uptrends and downtrends with differing colors of purple, but the OBOS Heatmap is not used for trends or cycles in this script. It is used to quantify oversold confluence.
Let's talk about the Dominance Suite.
First note in the top portion of the screenshot above, you will see various colors in the script. It replaces the price line with something we call Price Flow bars. So when you add the script it's best to make the stock price line invisible in TV settings. The Price Flow Bars use a preset EMA to color price action as being in either a downward momentum or upward momentum. The triangular signals represent dark teal for the initial long marker within a series, dark green for long orders and long signals that convert into safety orders, and light green for safety orders. This is more logic that makes this script really unique. The dark green initial long marker signals are rarely seen. You can find them at the beginning of a new series of signals and they work to establish when a new series of signals should begin. The dark green signals actually denote a long base order opportunity, but if a series has already started then these signals are converted into Safety Orders. The Safety Orders then come in light green, and red for Prop Shorts. Prop Shorts work with Initial Longs to establish the start of a new series. More on that math I cannot tell.
In the bottom half of the screenshot is the Dominance Suite itself. It's another one of the four filtering suites found in the script. It is made up of 7 oscillators that work to classify a price bar as being controlled by either the bears or the bulls. If a price bar is controlled by the bears it is said to be a better investment. The Dominance Suite works by applying a moving average to the balance of power. This is the way TradingView has intended the balance of power to be used, and works quite nicely in classifying individual price bars as either bearish or bullish. It's not an overall trend indicator as much as it states whether a bar is mostly controlled by the bears or the bulls.
Here are the oscillators found within the Dominance Suite:
SMA of BOP
EMA of BOP
HMA of BOP
WMA of BOP
VWMA of BOP
TEMA of BOP
LSMA of BOP
Within the script, there is an input for a negative threshold. When each of these 7 oscillators is in confluence and below this set threshold, the Prop Long will be allowed to pass as a real trade.
Keep in mind that each filtering suite also has the option to overload signals.
So not only can you filter signals based on these suites but you can also apply additional volume scaling to signals that don't get filtered.
Here we have the True Oscillator. The True Oscillator is a brand new oscillator. It's similar to things like the RSI or DPO, but technically speaking it considers many more factors into its average than other oscillators. It considers balance of power, sentiment, volume, momentum, gravity, and places special-strategic weighting on price data based on whether it's opening, closing, high, or low. If you stack the True Oscillator up with the RSI you'll notice right away they look similar, but each movement is quite different. Overall the movements are more balanced, the individual bars are more consistent with price data, and the swings are more clearly pronounced while simultaneously having a better register of strength in momentum. We use this indicator to filter and overload signals, to trade according to momentum, and to provide a 16th independent oscillator that can check the OBOS Heatmap without having to be confluent.
The final filtering suite is based on Net Volume. It classifies signals as oversold when there is a significant negative trend in net volume. If Net Volume is under 0, and trends downward for either 3, 4, or 5 bars in a row then it will mark a signal as oversold and allow it to pass. Then, if overloading for this suite is turned on it will allocate more volume to signals it does not filter out.
There is a lot that can be said about this strategy. The primary takeaway though is that it's not just one strategy. It's a tool for everyone, to help them plan their approach to different assets in different market climates. This tool can help you study current market conditions. It can allow you to plan a strategic approach to market segments, and see how your strategy would fare if new market data performed similarly. It's not just one strategy, but more of a strategy printer.
The Origin Suite allows users to plan the positioning of their signals. The Overbought & Oversold Suite allows users to filter their signals based on whether or not they are oversold. The Dominance Suite allows users to filter signals based on whether the market is being controlled by the bears or the bulls. The True Oscillator gives users the ability to filter signals based on a deep and powerful momentum oscillator. The Net Volume Suite lets users filter signals based on volume trends. When signals are filtered, signals that pass, can be overloaded with additional volume scaling. Features like Change-Based Volume Scaling and Position Average Volume Scaling give users plenty of inputs to create complex volume scaling strategies. Common-sense DCA inputs allow users to scale into markets the way pros do.
The Broadview Economic Studio is a powerful tool for planning trades with complex volume scaling strategies.
Users can plan their approach to different kinds of markets. They can link the script with their bot or broker like 3Commas, and the script will automatically send the correct volume scaling through to the bot.
Thank you for your time, and for reading the description of the Broadview Economic Studio.
bc Grid Backtest v1.4This strategy is a full implementation of Grid Trading backtest.
Prominent features of this backtesting strategy are:
- Logarithmic Chart Support: This strategy can support Log Scale on graph. Meaning that grid lines won't have irregular gaps in between the lines if you would like to view the chart Log Scaled. Every line will be aligned correctly even if you use Log Scale or not.
- Precise Buy & Sell: Script will execute precise Buy and Sell orders.
- Dynamic Grid Level Count: From 2 grid levels to n amount of grid levels are supported. There is no limitation on grid level count. You can pick any number starting from 2.
- Customized Backtesting Results Table: A table which includes data for those who want to know has been added at top right. It can be disabled.
Characteristics of this script:
- Able to fill more than one order in one single candle.
- Levels will keep being updated with every trade.
- There will be always one grid level ignored and it will be the level which made the last order filling possible. This is normal behavior of grid trading system.
- You can both use Log Scale and Normal Scale with this script. No issue will be on grid levels.
Using the script:
- Add this script to the chart from indicators tab
- Set starting and ending date for the grid backtesting bot either by dragging and dropping the vertical lines or by the date-time picker from indicator Inputs tab.
- Set highest and lowest limit for the script. These will be the boundary limits. Highest and lowest price for the script to work on. Lines will populate between these two values
- Set grid level count. Number of levels of the grid.
- Set amount to spend on per level. This quantity of order will be placed on each level when needed.
After setting the above settings, there is one last thing to do in order to get precise results. It is setting the Initial Capital.
- We can set this setting from 'Properties' tab. Named 'Initial Capital'. After setting the boundaries all we need to is to navigate to TradingView's own 'Data Window', and get the value there. Then paste it on the strategy's own related setting area.
In this example we used pair BTCUSDT 4h timeframe, our settings are:
Inputs Tab:
- Grid Count: 13
- High Limit: 72 000
- Low Limit: 17 000
- Logarithmic Grids: Checked (because I always use Log Scale on charts, if Log Scale is turned on, this needs to be checked)
- Quantity per level: 0.1
- Show Table: Checked
- Show Grid Levels: Checked
- Show Average Position Price: Checked
Properties Tab:
- Initial Capital: 24 902
- Slippage: 5
- Commission: 0.1% (this is the broker commission value)
This script's purpose is to make simulating possible outcomes between two dates. Therefore making it easier to get the idea of grid trading, finding the best settings for your risk management and for your portfolio.
RISK MANAGEMENTHi dear Traders,
Here I would present you my 'Risk Management' tool which is based on your buy orders, trading fees and your desired benefit.
Easily, fulfill the price and volume of each entries. Add to this, you can prepare the info about your next proposed entries, just let them not check at first and by meeting the prices then active the check-box beside it.
Two line will be presented on your candle-plot, one of the indicate the place that without any lose/win you can exit and also the desired exit position by considering user defined benefit.
Use it for free but please do not forget to boost the script.
Best regards and happy trading.
Shakib
Challenge training (journal)Dynamic trading journal with equity curve display. Detailed results with prop firm objectives, editable, $/month estimation, possibility to compare two strategies.
one line in parameter = one trading day. 20 days max.
For each trading day, specify : The number of trades, the number of SL, the number of total winning RR.
A table at the bottom right summarizes the days and performances during the backtest in order to have an idea of the current performance.
The bottom left table summarizes the overall performance with some key information.
Depending on the number of days traded, a monthly "salary" is deducted, taking into account the prop firm commission.
there is the possibility to define a "Type" for each trading day, 1 or 2. It allows to compare in a binary way, example for type 1: when the high time frame structure is doing well and I am confident for scalping, otherwise type 2.
Again: type 1: SL shorter by 50%, type 2: normal SL etc..
the button "separate 1 and 2" allows to display two additional equity curves : type 1 and type 2. It allows to have a quick visual comparison on the impact of our parameter studied in our backtest on our performance. at the scale of the main equity curve
All the conditions to succeed in the challenge are adjustable in the parameters. The drawdown calculation has been simplified - in order not to have to put 80 trades in the parameters window, I have gathered them by "day", and pessimistically, we consider first the stoplosses and then the take profits, simplifying the performances of the day into "one losing trade" and "one winning trade" (graphically). It is a good compromise between quantity and quality.
Use "A random day trading" indicator to spice up your training.
I hope this will be useful for you to track your performance !
Position Sizing Tool [Skiploss]The position sizing tool is an indicator to help calculate in trading, such as loss and gain, lots size, and risk-reward ratio.
When you open the indicator, you must select the entry, take profit, and stop-loss points.
Be careful;
The take profit point must be more than the entry point in the long position. On the other hand, it will be a short position.
The stop loss point must be less than the entry point in the long position. On the other hand, it will be a short position.
For contract size, you can find details on MetaTrader, Ctrader, or your broker.
Alex trading stragedyOverview
This script, named "ALEX TRADING STRATEGY", is a technical trading strategy designed for new investing groups. It uses a combination of various technical indicators to identify potential buying and selling opportunities in the market. The script includes the Relative Strength Index (RSI), Simple Moving Averages (SMA), Exponential Moving Averages (EMA), and Higher High Lower Low (HHLL) strategies to create a complete trading solution.
The user can change the position from long to short in the Input Settings. The script uses bar colors to indicate the current trading position. The script also has exit strategies to help manage the open trades. The user can also set the period for the various indicators used in the strategy.
The script provides various technical indicators and entry/exit signals to make the trading decision easier for the user. It also includes pivot lines, resistance and support levels to help the user make a more informed decision.
This Pine script implements a multi-indicator trading strategy that combines several technical analysis techniques for making trading decisions. The script uses the Relative Strength Index (RSI) to determine overbought and oversold conditions in the market and plots the RSI values on the chart. The RSI values above 70 are considered overbought and plotted as red upward triangles, while the RSI values below 30 are considered oversold and plotted as green downward triangles.
The script also calculates Simple Moving Averages (SMAs) with the user-defined period and plots them along with the Exponential Moving Averages (EMAs) of 20, 50, and 100 periods. Based on the crossover of the close price and the moving averages, the script enters long or short trades. The script sets the trade exit conditions as the low or high crossing the lower or upper band, respectively.
In addition to the moving average crossover, the script uses the highest high and lowest low over a user-defined period to determine long and short entries. The script plots the long and short conditions on the chart as green upward and red downward triangles, respectively. The script allows the user to switch between long and short trades by changing the input settings.
Finally, the script changes the bar colors based on the trade direction, with green bars indicating a long trade, red bars indicating a short trade, and blue bars indicating no trade. Overall, this Pine script provides a comprehensive trading strategy that combines several technical analysis techniques to make informed trading decisions.
HOW TO USE
Input Settings: In the Input Settings section, you can change the long to short position. You can also change the period value (default is 10) used to calculate the Simple Moving Average (SMA) for the Keltner channel.
Indicators: The script uses RSI (Relative Strength Index) with 14 periods as well as multiple EMAs (Exponential Moving Averages) with periods 20, 50, and 100 to help in making trading decisions.
Entry Signals: The script uses two main entry signals: (1) Keltner Channel and (2) HHLL (High-Low). When the closing price crosses above the upper band of the Keltner channel, the script generates a long signal, and when the closing price crosses below the lower band of the Keltner channel, the script generates a short signal. The HHLL strategy generates a long signal when the current high crosses above the highest high of the last "nPeriod" bars, and generates a short signal when the current low crosses below the lowest low of the last "nPeriod" bars.
Exit Signals: The script uses two exit signals: (1) Stop Loss based on Keltner channel and (2) Profit Target based on Keltner channel. The script exits the long position when the closing price crosses below the lower band of the Keltner channel, and the script exits the short position when the closing price crosses above the upper band of the Keltner channel.
To use this script, you will need to have access to a trading platform that supports PineScript, such as TradingView, and attach the script to a chart. The script will then automatically generate entry and exit signals based on the rules described above. It's important to note that this script is just a tool and not a guarantee of profit. As with any trading strategy, it's important to thoroughly test and understand the script before using it for live trading.
Position Sizer for UltraCap Trading Accreditation PlansWhen you enter a typical trading challenge, you are told that your accreditation assessment demo account is funded up to a certain amount. You are then told that you can only lose a small percentage of that account before you fail the accreditation/challenge. For example, if you are given a $100,000 dollar challenge demo account and are told that you can only lose up to 8% of that account ($8,000), then in reality, you really only have $8,000 to "trade" with before the game is over. That suggests that we need a risk management system that is initially based on the "true" amount of capital that we actually have to work with at the beginning of the assessment rather than an imaginary demo balance the prop firm gives us. Traditional forex risk management principles mandate that you never risk more than 2% of your trading capital on any one trade, the idea being that as long as your win rate is above some abysmally low level, it will take you a (hopefully) long time to run out of trading capital. That’s why the rules for passing an accreditation at the prop firm Ultra Cap mandate that you never risk more than 2% of your balance, or you will fail the assessment. With that in mind, I created this indicator/tool mostly for UltraCap accreditation candidates. In addition to using it to pass a prop firm assessment, you can also use it to increase your chances of surviving in an undercapitalized trading situation with your own money. For example, you could trade an actual $8,000 dollars (money that you really have) as if it were $100,000 (which is basically what any prop firm is asking you to do when they "give" you "$100,000" to trade with but only allow you lose a maximum of $8000). In that particular situation, the algorithm in this pricing model will base your initial risk exposure on an assumed account balance of $8000, and as you increase your balance, it proportionally increases risk exposure in the background until you reach a profit level of 6%, which just so happens to be the profit goal at Ultra Cap that gets you funded! This indicator uses a simple linear equation to progressively increase the risk exposure in the background based on your current stated account balance. Initially, your trade size will seem ridiculously small, but if your win rate holds up, the trade sizes will increase substantially as you get closer to the finish line.
Price Distance RatioThis study plots the ratio between current price and the price N days ago.
With N input that is configurable, users can find optimal long/short entries when price is in an established trend and price has diverge far from a given local peak or all time high.
With many years of stock trading the analysis indicates a connection between the distance of price and subsequent returns.
Portfolios of stocks with lower price to local highes ratios generally underperformed portfolios of stocks with higher prices to peaks reached similar N days ago.
The highest returns to previous peak are recorded when buying at the biggest dip.
For example, the purchase at 20% drawdown could generate 25% when price returns to the peak. The purchase at 50% drawdown could generate bigger, i.e. 100% return, when price returns to the peak. And the purchase at 90% drawdown could generate much bigger, i.e. 900% return, in a case the price returns to the peak.
However, buying very far below local peaks on almost all holding periods produces lower CAGR returns because of "timing adjustment". In simple words, typically the drawdown takes less time vs. further recovery.
For example:
👉 The largest BTC drawdown in 2013-2015 took 410 days (Peak-to-Valley) . And the recovery of BTC to new highs took 771 days (Valley-to-Peak) after that.
👉 The 3rd longest drawdown in BTC took 363 days (observed from December 17, 2017 to December 15, 2018). And further recovery in BTC to its new high took almost two years - 716 days .
👉The 4th longest drawdown in BTC took 162 days (observed from June 08, 2011 to November 17, 2011). And further recovery in BTC to its new high took more than a year - 469 days .
The concept of this study could recognizes at least 4 different modes of action.
👉 In a clearly established upward trend traders should be buying (following the trend) when Ratio is above 100% and reducing the size when Ratio turns below 100%.
👉 Conversely, in a clearly established downward trend traders should be shorted when Ratio is below 100% and covering when the Ratio turns back to 100%.
👉 In a sideways movement traders are advised to wait carefully if the Ratio near 100% for a long time, and take a position the trend is clear.
👉 Chartists can analyze the dynamic of the indicator - both in terms of trends and overall level. For example as it shown at the chart.
The understading of the study and rules of "timing adjustments" could genarate the awesome opportunities for stock options traders also, with strategies of selling uncovered call options and vertical call spreads.
// Many thanks to @HPotter and @Wheeelman wizards for their continious support and assistance.
mex_fundingScript for calculating Bitmex funding based on the Premium tickers Bitmex submits to Tradingview
Make sure you add the correct Bitmex Interest Base and Quote Symbols in the input settings
For example for www.bitmex.com the inputs are:
Chart ticker: XBTUSDPI8H
Input Settings
Interest Base: XBTBON8H
Interest Quote: USDBON8H
Spot Index Generator - The Quant Science Create your own spot index and compare returns with a benchmark. With this tool you will be able to quickly check if your portfolio management is better than the benchmark. It is a professional tool suitable for medium to long-term investors who need to create a personal and custom index with only spot assets and need to compare it with the return of a specific market.
Features
You can create your own indexes using up to 10 different assets. Through the user interface you can adjust the weight for each asset, and the initial capital with which to build the index.
Quantitative Data
1. Index Return vs. Benchmark Return
Compare your personal index with the benchmark.
2. Index Average Return vs. Index Return
Compare the return of your index with the average of returns. You can adjust the averaging through the user interface.
3. Volatility Index Analysis using Index Return and Average Index Return
Show the volatility of your index move over key levels created using the average of your index returns.
For the example used in the chart, we created a custom index for the crypto market, including 8 different assets:
1. KUCOIN:ETHUSDT , 10%
2. BINANCE:BNBUSDT , 10%
3. BINANCE:MATICUSDT , 20%
4. BINANCE:AVAXUSDT , 5%
5. BINANCE:SOLUSDT , 5%
6. KUCOIN:GODSUSDT , 10%
7. KUCOIN:SANDUSDT , 10%
8. BITGET:SHIBUSDT , 30%
The reference benchmark is KUCOIN:SANDUSDT .
The period of analysis start at January 1, 2023 to today.
Timeframe selected: 5 min
Capital: 1000 USDT
Following the benchmark analysis, the built index (lime color) does not perform better than the benchmark (blue color). As can be seen, the index created a lower return than the benchmark.
