Boftei's StrategyI wrote this strategy about a year ago, but decided to publish it just now. I have not been able to implement this strategy in the market. If you can, then I will be happy for you.
This strategy is based on my "Botvenko Script". (It finds the difference between the logarithms of closing prices from different days.) (Check this script in my profile)
Then the strategy makes trades when the "Botvenko Script" indicator crosses the levels set earlier and manually selected for each currency pair/shares: long/short opening/closing levels, long/short re-entry levels. (They are drawn with horizontal dotted lines.) The names of these lines are: buy/sell level, long/short retry - too low/high, long close up/down, dead - close the short. Manual selection of each of the parameters provides a qualitative entry of the strategy into the deal. However, without restraining mechanisms, the strategy enters into rather controversial deals. In order to avoid going long/short during bear/bull markets, which is unacceptable, I added a fan of EMA lines.
The fan consists of several EMA lines, which are set according to Fibonacci numbers (21, 55, 89, 144). If the lines in the fan are arranged in ascending order (ema_21>ema_55 and ema_55>ema_89 and ema_89>ema_144), then this indicates a bull market, during which I banned shorting. And vice versa: during the bear market (ema_21<ema_55 and ema_55<ema_89 and ema_89<ema_144) I banned long trading. If these two inequalities are not met, then this indicates that the market is flat, and during it it is allowed to enter any transactions, because a flat is a good moment to catch massive movements in the future by entering a transaction. (This is all visualized using semi-transparent thick lines of green, yellow and red colors.)
By default, all parameters are adjusted for the btc/usd (bitstamp) pair. Best of all, the strategy shows itself if 1 candle = 1 day.
At the time of writing, on the pair btcusd (bitstamp) (1d) with pyramiding = 1, the strategy shows a profit of 64728896%. If pyramiding is increased by 1, then the profit will be greater, but I still prefer pyramiding = 1.
There is a possibility that my strategy is doing complete nonsense. I don't vouch for her.
If you select parameters for other pairs of currencies/stocks, then you should not change anything in the fan of lines.
That's all, probably.
Bitcoin (Kriptopara)
Market Relative Candle Ratio ComparatorIntroducing the Market Relative Candle Ratio Comparator, a visually captivating script that eases the way you compare two financial assets, such as cryptocurrencies and market indices. Leveraging a distinctive calculation method based on percentage changes and their averages, this tool presents a crystal-clear view of how your chosen assets perform in relation to each other, both for individual candles and over a range of previous candles.
Tailoring the script to your preferences is a walk in the park, as it allows you to easily adjust input symbols, moving average lengths, and other parameters to match your analytical approach. The visually arresting column chart it creates employs vivid red and green colors to underscore the differences between the two assets on each candle. Simultaneously, the lower-opacity columns depict the accumulated differences over a specified lookback period. This vibrant blend of colors and opacities results in a dynamic visual experience, enabling you to better grasp market trends relative to each other.
The reverse bool input is a handy feature that lets you invert the effect of the input symbol (DXY by default) in the comparison. When you set the reverse input to true, the script multiplies the calculated DXY percentage change by -1, effectively reversing the comparison. This is particularly useful when examining assets with an inverse relationship or when you'd like to analyze the input symbol's impact in the opposite direction.
For instance, if the input symbol represents a market index that generally moves in the opposite direction of the selected cryptocurrency, enabling the reverse input will help you better visualize and understand the relationship between the two assets by inverting the input symbol's effect on the comparison.
In the accompanying chart, you can observe the comparison of Bitcoin's movement relative to the Dollar, Gold, Bonds, and the S&P 500. The indicator reveals that in the last day, Bitcoin outperformed Bonds, Gold, and the Dollar but not the S&P 500!
Crypto Performance Index1. The Crypto Performance Index (CPI) estimates the price appreciation of a crypto asset relative to the overall crypto market performance. The indicator is calculated using a Sharpe Ratio principle enhanced with time-domain normalization and cumulative parametrization.
2. The CPI is based on the idea that the performance of an asset should be evaluated not only in terms of its absolute price movement, but also in terms of its risk-adjusted returns compared to the broader market. The Sharpe Ratio, which takes into account both the asset's return and its volatility, is a commonly used measure of risk-adjusted performance.
3. The CPI takes the Sharpe Ratio principle further by incorporating a time-domain normalization technique that adjusts for differences in volatility across different time periods. The cumulative parametrization ensures that the CPI considers the overall performance of the asset over a specified period of time.
4. To use the indicator, select a timeframe and set the standard deviation period (default is 20). The CPI line can be compared against various market benchmarks, including the total crypto market cap (white line), altcoins total market cap (blue line), low-cap altcoins (without ETH), and Bitcoin.
5. An upward slope of the CPI line indicates strong price performance of an asset, with a relatively high chance for the asset to continue growing faster than the market in the future. Conversely, a downward slope of the CPI line indicates weak price performance of an asset, with a relatively high chance for the asset to depreciate in price with respect to the rest of the market in the future.
6. Overall, the CPI provides a comprehensive measure of an asset's price performance, taking into account both its absolute return and its risk-adjusted return relative to the broader market. This makes it a valuable tool for investors looking to evaluate the performance of their crypto holdings and make informed decisions about buying, selling, or holding assets.
Historical AverageThis indicator calculates the sum of all past candles for each new candle.
For the second candle of the chart, the indicator shows the average of the first two candles. For the 10th candle, it's the average of the last ten candles.
Simple Moving Averages (SMAa) calculate the average of a specific timeframe (e.g. SMA200 for the last 200 candles). The historical moving average is an SMA 2 at the second candle, an SMA3 for the third candle, an SMA10 for the tenth, an SMA200 for the 200th candle etc.
Settings:
You can set the multiplier to move the Historical Moving Average along the price axis.
You can show two Historical Moving Averages with different multipliers.
You can add fibonacci multipliers to the Historical Moving Average.
This indicator works best on charts with a lot of historical data.
Recommended charts:
INDEX:BTCUSD
BLX
But you can use it e.g. on DJI or any other chart as well.
Degen Dominator - (Crypto Dominance Tool) - [mutantdog]A fairly simple one this time. Another crypto dominance tool, consider it a sequel to Dominion if you will. Ready to go out-of-the-box with a selection of presets at hand.
The premise is straightforward, rather than viewing the various marketcap dominance indexes as their standard percentage values, here we have them represented as basic oscillators. This allows for multiple indexes to be viewed in one pane and gives a decent overview of their relative changes and thus the flow of capital within the overall crypto market. As a general rule-of-thumb, when a plot is above zero then the dominance is climbing, thus capital is likely flowing in that direction. The inverse applies when below zero. When the market is quiet, all will be close to zero. Basic overbought/oversold conditions can also be inferred too.
Active as default are:
Bitcoin (0range): CRYPTOCAP:BTC.D
Ethereum (Blue): CRYPTOCAP:ETH.D
Stablecoins (Red): CRYPTOCAP:USDT.D + CRYPTOCAP:USDC.D
Altcoins (Green): 100 - (all of the above)
These are plotted according to the selected oscillator preset and it's length parameter. The default is set to 'EMA Centre'. An optional RMA(3) smoothing filter is also included and active as default. Each index plot has its own colour and opacity settings available on the main page.
Additionally, the following are also available (deactivated as default):
Total DeFi : CRYPTOCAP:TOTALDEFI.D
Current Symbol : Will try to match corresponding dominance index for the chart symbol if available.
Custom Input : Manual text input, will try to match if available.
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The included presets determine the oscillator type used, all are fairly simple and easy to interpret:
EMA Centre
SMA Centre
Median Centre
Midrange Centre
The first 4 are all variations on the same theme, simply calculated as the difference between the actual value and its respective average. EMA is the default and is my personal preference, if you generally favour using an SMA then perhaps that would be your better choice. Like the two MAs, median and midrange are also dependant on the length parameter. Midrange is calculated from the difference between highest and lowest values within the length period, with a little extra smoothing from an RMA(3).
Simple Delta
Weighted Delta
Running Delta
Often referred to as momentum, delta is just change over time. 'Simple' is the most basic of these, the difference between the current value and the value (length) bars prior. A more long-winded way of calculating this would be to take the difference between each bar and its previous then average them with an SMA which results in the same value. 'Weighted' adopts that principle but instead uses a WMA, likewise 'Running' is the same but using an RMA. The latter is actually the basis of RSI calculations before any normalisation is applied, as you can see in the next preset.
RSI
CMO
RSI really should not need explaining, it is however applied a little differently here to the usual, in this case centred around 0. The x100 multiplication factor has been dropped too for the sake of consistency. The same principle applies with CMO, which is basically a 'Simple Delta' version of RSI.
Hard Floor
Soft Floor
These last two are a little different but both can provide useful interpretations. The floor here is simply the lowest value within the chosen length period. 'Hard' plots the difference between the current value and the floor, thus giving a value that is always above 0. In this case, focus should be given to the relative heights of each with a simple interpretation that capital is flowing into those that are climbing and out of those descending. 'Soft' is essentially the same except that the floor is smoothed with an RMA(3), the result being that when new lows are made, the plot will break below 0 before the floor corrects a few bars later. This soft break provides additional information to that given by 'Hard' so is probably the more useful of the two.
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To finish it off, a bunch of preset alerts are included for the various 0 crossings.
So that just about covers everything then, all quite straightforward really. Future updates may include some extra stuff, the composition of the stablecoin index may change if necessary too. While this is not really a tweaker's tool like some of my other projects, there's still some room for experimentation here. The 'current' and 'custom' indexes can provide some useful data for compatible altcoins and the possibility to compare inter-related tokens (eg: Doge vs Shib). While i introduced this as a sort of sequel to Dominion, it is not intended as a replacement but more of a companion. This initially started as a feature intended for that one but it quickly grew into its own thing. Both the oscillator view here and the more traditional view have merits, i personally use this one primarily now but frequently refer to Dominion for confirmations etc.
That's it for now anyway. As always, feedback is welcome below. Enjoy!
[SM] Bitcoin cycles bull market
An indicator to determine the seasonality / cyclicality of bitcoin for long trades.
Application
- For traders: Identification of zones with lower risk of entering long positions
- For swing traders and investors: customizable calendar of entries into long position
Indicator structure
1. Vertical zones (green and red) of time ranges. Only for historical bars. The range width is adjustable in the indicator settings.
2. Table (in the form of a calendar) for determining the time of entering a trade in the future. The table is not editable. It displays the result of the configured zones on the historical bars.
General settings
- choose the color of the Tradingview theme (light or dark)
Table settings
- Turn table display on / off
- Set the number of months to be displayed in the table
Settings of vertical zones (green and red)
Each cycle (1 month summer, 1 month autumn, ...) has four dates
- start date of the green zone (day and month)
- date of the end of the green zone
- start date of the red zone
- date of the end of the red zone
Bitcoin Halving Rainbow + S2F Model PriceOverview
The rainbow price line:
This script creates a colorful view of Bitcoin's price action, where different colors indicate the time until the next halving date. The color scale in the top right highlights what each main color group represents in terms of days until the next halving. Using historical data, the simple indication of days until the next halving has somewhat accurately predicted potential bottoms and tops of market cycles. Comparing current colors to previous cycles provides a rough view of where BTC is in its current cycle and what to expect going forward until the next halving date.
In addition to the colored price action, I have incorporated the stock-to-flow model price for Bitcoin.
The stock-to-flow (S2F) model price:
The stock-to-flow ratio is a calculation that aims to estimate how many years are required to produce the current stock of an asset, based on the current production rate. When applied to Bitcoin, we simply divide the total amount of bitcoins in circulation by the amount of bitcoins mined in a certain timeframe. Once we have this value, we can calculate a model price based on the stock-to-flow ratio. This S2F model price uses a 463-day moving average. Preston Pysh came up with this number as he believed Bitcoin cycles happen in three phases: bull run, correction, and a reversion to the mean. He estimated there are about 200,000 blocks per cycle, three phases per cycle, and ~144 blocks per day. Dividing all three gets us 463. I have removed 1,000,000 coins from this calculation to account for Satoshi's coins.
The process I took to plot this model price (credit to PlanB for originally creating this calculation):
-Declare constant variables for the halving period, starting block reward, and the number of coins Satoshi owns.
-Fetch the block index by using the request.security() function.
-Determine the number of halvings that have occurred by dividing the block index by the halving period.
-Calculate the current block reward by multiplying the initial block reward by 0.5 raised to the power of the number of halvings.
-Calculate the number of blocks mined per period (day or week) and derive the stock (total bitcoins in circulation minus Satoshi's coins) and flow (annual block rewards) from it.
-Calculate the S2F ratio by dividing the stock by the flow.
-Calculate the S2F model price by applying a mathematical formula (ModelPrice = exp(-1.84) * S2F to the power of 3.36) along with a 463-day moving average.
** Please note, due to the use of the 463-day MA, the first ~400 days of the S2F model price is not entirely accurate.
In addition to the above, I have added vertical lines on each halving date, along with labels that have a tooltip if you hover over them, which will show more information about that particular halving.
Important tips:
-This script has been designed to work on the 1-Day timeframe but can also work on the 1-Week timeframe. Any other timeframe will not accurately plot all the information due to the way I have developed the script.
-This script is best used on the ticker I have posted this on, "INDEX:BTCUSD". It can also work on "BLX" or "BITSTAMP:BTCUSD".
-Hide candles when using the script to just show the halving rainbow (hover over the symbol name in the top left and press the eye icon).
-Right-click the price scale and select "Scale price chart only" to get a better view of the plots.
-Right-click the price scale and select "Logarithmic."
-I will update the script as time goes on to show future halvings along with adjusting the next halving date as we get closer (if it changes).
Settings Menu:
Tooltips are included explaining what the settings do, but here's a quick summary:
-'Show Vertical Halving Lines?': Default is true. This allows the user to remove the vertical lines shown on each halving date.
-'Show Halving Labels?': Default is true. This allows the user to remove the info labels shown on each halving date.
-'Halving Line and Label Color': Default is white. This allows the user to change the color of the halving lines and labels to better fit their chart layout.
-'Show Stock to Flow Model Price?': Default is true. This allows the user to remove the S2F model price.
-'Stock to Flow Model Price Color': Default is white. This allows the user to change the color of the S2F model price to better fit their chart layout.
-'Draw Color Table?': Default is true. This allows the user to remove the color table in the top right of the chart.
-'Distance rainbow is away from actual price action': Default is 0 (Plots over candles). This allows the user to adjust where the halving rainbow is plotted if they would like to also see candles on the chart. (Use any value under 0.9)
Feel free to message me or comment on the post with any questions or issues!
Much more to come!
Thanks for reading, enjoy!
Short Term Bubble RiskThis risk indicator uses the extension of the closing price to the 20W SMA and displays a color-coded risk oscillator. The higher the oscillator is, the greater the short-term risk and vice-versa. This indicator has historically worked well for estimating the short-term risk of Bitcoin and Ethereum on a weekly timeframe.
BTC Performance Table / BTC Seasonality Visualization
This script visualizes Bitcoins "seasonality", in form of a colored table (based on the idea from "BigBangTheory")
The history table shows you which months do statistically perform better/worse in comparison to other months.
How to use this script:
Choose ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin").
Set the charts time frame to weekly or daily. Tables position on the screen and its colors are configurable.
Table explanation:
Cells show whether a gain or a loss occured from month to month, since BTC came out in 2010.
The price difference, between monthly open and monthly close, determines the cell color (negative -> red, positive -> green).
The year column shows total gain (green) or loss (red) for that particular year.
Each value is presented as a rounded percentage number.
How this script works:
The script calculates the price difference between each monthly and yearly open and close, storing those numbers inside arrays.
Then it populates the table, by using those numbers and doing the cell coloring (there will be a yellow cell, in case no change should occur).
German Short-Description
Prozentuale Übersicht in Tabellenform, der monatlichen, sowie jährlichen, Performance des Bitcoin (basierend auf der Idee von "BigBangTheory").
Hierdurch wird die "Saisonalität" des Bitcoin sichtbar. D.h. welche Monate des Jahres, im Vergleich zu anderen Monaten, statistisch gesehen öfter positiv/negativ schließen.
Zwecks vollständiger Darstellung muss der Ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin") im weekly oder daily time frame aktiv sein.
Bitcoin Correlation MapHello everyone,
This indicator shows the correlation coefficients of altcoins with bitcoin in a table.
What is the correlation coefficient?
The correlation coefficient is a value that takes a value between 0 and 1 when a parity makes similar movements with the reference parity, and takes a value between 0 and -1 when it makes opposite movements.
In order to obtain more meaningful and real-time results in this indicator, the weighted average of the correlation values of the last 200bar was used. You can change the bar length as you wish. With the correlation value, you can see the parities that have similar movements with bitcoin and integrate them into your strategy.
You can change the coin list as you wish, and you can also calculate their correlation with etherium instead of bitcoin .
The indicator shows the correlation value of 36 altcoins at the moment.
The indicator indicates the color of the correlated parities as green and the color of the inversely correlated parities as red.
Cheers
Dynamic Volume Oscillator [CryptoScripts]The Dynamic Volume Oscillator uses a combination of volume and momentum to nail whenever a reversal is likely to happen. I've also included divergences (both regular and hidden) that you can toggle on/off and adjust the settings to fit your trading style.
Colors - The green wave indicates an uptrend while the purple wave indicates a downtrend.
Overbought/Oversold - Green backgrounds indicate the DVO is oversold and a reversal to the upside is likely to happen within the next few candles. Red backgrounds indicate the DVO is overbought and a reversal to the downside is likely to happen within the next few candles. You can adjust the levels to trigger when the signal flashes. Experiment with different timeframes/altcoins to see which settings work best. Some coins are more volatile than others and lower timeframes tend to reach higher levels vs higher timeframes.
Divergences - The settings of 1 and 3 for the lookbacks are so the divergence signal appears only 1 candle before the actual divergence happens (on the replay tool) vs 4-5 candles from other indicators. This means your entry on a divergence signal is 2 candles after it prints (for backtesting purposes).
Alerts - I also added alerts for Overbought, Oversold, Regular and Hidden Bearish/Bullish Divergences.
Let me know if you have any questions! Enjoy :)
Token Metrics IndicatorThe Token Metrics Combined Indicator v2 is a comprehensive technical analysis tool designed to output Long/Short signals for crypto assets on TradingView. It combines multiple indicators, including Token Metrics Clouds, Token Metrics Trend Lines , Token Metrics Channels, and signals, to give a comprehensive outlook on the market trend and potential entry/exit points.
Users can backtest the signals to understand the strategy's historical performance, learn how to use it, identify its pros and cons, and determine the market conditions it best suits. It is important to note that the backtesting performance does not indicate future results.
The methods for calculating fixed stop-losses vary depending on the trading pattern. A fixed stop-loss is used for long-term trading, while a trading stop-loss is used for high-frequency trading. This provides flexible investment risk management, allowing you to assign different stop-loss percentages to different trading strategies.
The Length input allows users to control the indicator’s sensitivity, with a default value of 20 bars for long-term trading and 9 bars for high-frequency trading. The Adjustment Factor input has a default value of 0.1 and can be adjusted to adapt to changing levels of volatility . The Stop-loss input allows users to control their risk tolerance, with a default value of 8% for long-term trading and 2% for high-frequency trading.
Token Metrics Clouds incorporates a bullish / bearish trend indicator, which uses two adaptive moving averages that adapt to volatility , reducing false trend signals during range-bound environments and providing a more accurate representation of market trends.
The Token Metrics Trendline is a long-term indicator that uses an adaptive moving average to identify long-term trends. This can also be used for long-term resistance and support levels, providing a comprehensive overview of the current market situation for both long-term and high-frequency traders.
The Token Metrics Signals indicator provides long, short, and close signals, indicating when to enter and exit long or short positions based on the TM trend-following strategy.
The Token Metrics Channels indicator is a top/bottom indicator that adjusts to current levels of volatility . This uses adaptive Donchian channels to determine the previous short-term swing high and low, providing insight into where short-term resistance or support might be forming and where breakouts can occur. The look-back periods change according to the strategy time frame, offering a flexible and dynamic approach to market analysis.
Long-term trading is a trend-following strategy best suited for daily and weekly timeframes. This strategy works well in trending markets but may produce false signals in choppy or range-bound markets.
High-frequency trading is a mean-reverting strategy best suited for 15-minute, 30-minute, and 1-hour timeframes. This strategy performs well in choppy or range-bound markets but may not be effective in strong trending markets.
Volume ClusterVolume Cluster aggregates one-minute-based volume information over a specified arbitrary price range as a cluster. In delta mode, the accumulated volume is displayed based on the buy volume/sell volume information.
Stablecoins DominanceStablecoins Dominance
The purpose of the script is to show Stablecoin's strength in the crypto markets.
5 Largest Stablecoins divided by Total Market Cap
Altcoin Dominance (without ETH) Excluding Stablecoins UnsymetricAltcoin Dominance (without ETH) Excluding Stablecoins Unsymetric
The purpose of the script is to show Altcoin's strength without Ethereum once we exclude stablecoins.
So we look into all altcoins besides eth and besides stablecoins divided by a value of eth+btc
Altcoin Dominance Excluding EthereumAltcoin Dominance Excluding Ethereum
The purpose of the script is to show Altcoin's strength without Ethereum.
Pretty much shows Altcoin's Dominance in comparison to Market Cap once we exclude Ethereum.
ETH Dominance Excluding StablecoinsETH Dominance Excluding Stablecoins.
The purpose of the script is to show Ethereum's strength relative to other cryptocurrencies.
Pretty much shows ETH Dominance in comparison to Market Cap once we exclude the 5 largest stablecoins.
DXY Overlay CompareOverlays the DXY chart over the top of any other chart. When the dollar strength increases, asset prices can drop and vice versa. Was created personally to compare with the price of Bitcoin.
True Bitcoin Value USD - Mario MThe average mining costs of one bitcoin equals to the true intrinsic value
Globally, the Bitcoin network uses around 0.5% of the world’s electrical power supply.
The sheer amount of electrical power and complex hardware required to operate a mining farm has intrinsic value.
This gives bitcoin a fundamental cost to create, and thus intrinsic value.
The Price of Hard MoneyIf we calculate “the price of hard money” (the market capitalization weighted price of gold plus Bitcoin); we get this chart.
Since 2017, Bitcoin’s share of hard money growth has been increasing, we can see it visibly on the gold chart by a widening delta between the price of hard money and the Gold price. We can also see some interesting technical behaviours.
In 2021, Hard Money broke out and held this breakout above the 2011 Gold high. Only later in 2022 did a correction of 20% occur – typical of Golds historic volatility in periods of inflation and high interest rates.
Hard Money is at major support and we have evidence for a fundamental shift in investor capital flows away from gold and into Bitcoin.
This Indicator is useful:
- To track the market capitalization of Gold (estimated), Bitcoin and combined market capitalization of Hard Money.
- To track the price action and respective change in investor flows from Gold to Bitcoin .
Provided Bitcoin continues to suck more value out of gold with time, this chart will be useful for tracking price action of the combined asset classes into the years to come.
RSI and MA with Trailing Stop Loss and Take Profit (by Coinrule)The relative strength index is a momentum indicator used in technical analysis. It measures the speed and magnitude of a coin's recent price changes to evaluate overvalued or undervalued conditions in the price of that coin. The RSI is displayed as an oscillator (a line graph essentially) on a scale of zero to 100. When the RSI reaches oversold levels, it can provide a signal to go long. When the RSI reaches overbought levels, it can mark a good exit point or alternatively, an entry for a short position. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A moving average (MA) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range. Essentially it is used to help smooth out price data by creating a constantly updated average price.
The Strategy enters and closes trades when the following conditions are met:
Entry Conditions:
RSI is greater than 50
MA9 is greater than MA50
RSI increases by 5
Exit Conditions:
Price increases by 1% trailing
Price decreases by 2% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy 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.
VWMA/SMA 3Commas BotThis strategy utilizes two pairs of different Moving Averages, two Volume-Weighted Moving Averages (VWMA) and two Simple Moving Averages (SMA).
There is a FAST and SLOW version of each VWMA and SMA.
The concept behind this strategy is that volume is not taken into account when calculating a Simple Moving Average.
Simple Moving Averages are often used to determine the dominant direction of price movement and to help a trader look past any short-term volatility or 'noise' from price movement, and instead determine the OVERALL direction of price movement so that one can trade in that direction (trend-following) or look for opportunities to trade AGAINST that direction (fading).
By comparing the different movements of a Volume-Weighted Moving Average against a Simple Moving Average of the same length, a trader can get a better picture of what price movements are actually significant, helping to reduce false signals that might occur from only using Simple Moving Averages.
The practical applications of this strategy are identifying dominant directional trends. These can be found when the Volume Weighted Moving Average is moving in the same direction as the Simple Moving Average, and ideally, tracking above it.
This would indicate that there is sufficient volume supporting an uptrend or downtrend, and thus gives traders additional confirmation to potentially look for a trade in that direction.
One can initially look for the Fast VWMA to track above the Fast SMA as your initial sign of bullish confirmation (reversed for downtrending markets). Then, when the Fast VWMA crosses over the Slow SMA, one can determine additional trend strength. Finally, when the Slow VWMA crosses over the Slow SMA, one can determine that the trend is truly strong.
Traders can choose to look for trade entries at either of those triggers, depending on risk tolerance and risk appetite.
Furthermore, this strategy can be used to identify divergence or weakness in trending movements. This is very helpful for identifying potential areas to exit one's trade or even look for counter-trend trades (reversals).
These moments occur when the Volume-Weighted Moving Average, either fast or slow, begins to trade in the opposite direction as their Simple Moving Average counterpart.
For instance, if price has been trending upwards for awhile, and the Fast VWMA begins to trade underneath the Fast SMA, this is an indication that volume is beginning to falter. Uptrends need appropriate volume to continue moving with momentum, so when we see volume begin to falter, it can be a potential sign of an upcoming reversal in trend.
Depending on how quickly one wants to enter into a movement, one could look for crosses of the Fast VWMA under/over the Fast SMA, crosses of the Fast VWMA over/under the Slow SMA, or crosses over/under of the Slow VWMA and the Slow SMA.
This concept was originally published here on TradingView by ProfitProgrammers.
Here is a link to his original indicator script:
I have added onto this concept by:
converting the original indicator into a strategy tester for backtesting
adding the ability to conveniently test long or short strategies, or both
adding the ability to calculate dynamic position sizes
adding the ability to calculate dynamic stop losses and take profit levels using the Average True Range
adding the ability to exit trades based on overbought/oversold crosses of the Stochastic RSI
conveniently switch between different thresholds or speeds of the Moving Average crosses to test different strategies on different asset classes
easily hook this strategy up to 3Commas for automation via their DCA bot feature
Full credit to ProfitProgrammers for the original concept and idea.
Any feedback or suggestions are greatly appreciated.
MarsMine_EnvelopThis indicator is an indicator for use in 5-minute period day trading strategies.
The indicator derives a power power based on past closing prices and substitutes the power value into a multiplier of Euler's constant to derive a range.
Bands were increased by substituting multiples into the derived range, and each band has a role.
You will enter a buy or sell between the first and second bands, and become comfortable on the opposite first band.
The third band is set as a stop loss standard.
이 지표는 5분봉 단타 매매 전략에서 사용하기 위한 보조지표입니다.
해당 지표는 과거 종가를 기반으로 멱수를 도출해내고 해당 멱수값을 오일러 상수의 승수에 대입하여 범위를 도출해냅니다.
도출해 낸 범위에 멀티플을 대입하여 밴드를 증가 시켰으며 각 밴드들은 역할이 존재합니다.
첫번째와 두번째 밴드 사이에서 매수 또는 매도 진입을 하게 되며, 반대의 첫번째 밴드에서 익절하게 됩니다.
세번째 밴드는 손절기준으로 설정합니다.
