Forex Session by PThis session indicator is set according to UTC+5:30 (Kolkata, India)
L = London
N = New York
T= Tokyo
FF = Frankfurt
NYSE = New York Stock Exchange
Square in Bottom
With characters are Start of the Session
Without Characters are End of the Session specified with the color.
Educational
PSS Divergence RSIThe objective of the script is to identify the divergences (positive / negative) and visualize them as an indicator to easily spot the possible trend change.
Ingredients -
a. 34 period RSI at current candle
b. 34 period RSI at 21 candles back
c. 5 EMA of a
d. 5 EMA of b
e. 5 EMA of current candle
f. 5 EMA of 21 candles back
Description -
The indicator is designed for scalping and to smooth-out the noise in shorter timeframe (1 min), bigger period (34) is used for RSI calculation.
The core idea of divergence is to look at RSI movement in relation to price movement, hence a ratios are created for RSI value relative to it's price.
R1 = rsiMA1*100/priceMA1
R2 = rsiMA2*100/priceMA2
Some mathematics is applied over the calculated ratios to determine if there is bullish or bearish divergence -
Div = (R1-R2)*100/(R1+R2)
The reasoning to apply 5 EMA to price as well as RSI is to compare areas (5 candles) instead of single point comparison for better insights.
The value above zero line is considered positive divergence and below zero line is negative divergence.
Recommended to combine with Pivot Points, Fibonacci or Gann levels as confirmation to enter the trade.
Reviews / feedbacks are most welcome !
Prasad Shenwai
prasad.s.shenwai@gmail.com
Buy and hold strategyA simple buy and hold strategy. A short or a long position can be chosen. The start date will determine the date where your position will start and end date is the date it will end. This works well as a baseline to your other existing strategies since buy and hold is just the simplest strategy available.
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications.
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Included moving averages
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA.
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required.
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA.
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Hull Moving Average - HMA
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points.
IE/2 - Early T3 by Tim Tilson
The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator".
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA (Least Squares Moving Average)
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA.
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
The TMA and Sine Weighted Moving Average Filter are almost identical at times.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers.
Volume Weighted EMA - VEMA
Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements.
Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings.
Zero Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
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What are Heiken Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following:
(Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Expanded generic source types:
Close = close
Open = open
High = high
Low = low
Median = hl2
Typical = hlc3
Weighted = hlcc4
Average = ohlc4
Average Median Body = (open+close)/2
Trend Biased = (see code, too complex to explain here)
Trend Biased (extreme) = (see code, too complex to explain here)
Included:
-Toggle bar color on/off
-Toggle signal line on/off
Parabolic sar with breaksThis plots a Parabolic sar and a break line on the previous sar point before the parabolic sar flips.
This is looking to be a very popular entry signal for lots of strats.
How to use:
In conjunction with other confirmation indicators;
Long : Enter long when the Parabolic sar is below the price and the price breaks above (and closes) the break line.
Short : Enter short when the Parabolic sar is above the price and the price breaks below (and closes) the break line.
A great indicator combination for this is to use a 200 ema for price trend and volume flow.
Follow The Ranging Hull - studyFollow the Ranging hull - Study is a scalping indicator based off momentum and trend
It indicates the current momentum, and shows the momentum and true strength of a higher timeframe through a status window.
Credits:
Hull Suite by InSilico www.tradingview.com
Range Filter Buy and Sell 5 min www.tradingview.com
Follow Line Indicator by Dreadblitz www.tradingview.com
TSI by Everget www.tradingview.com
XBT Average Electricity CostXBT Average Electricity Cost
Cambridge Bitcoin Electricity Consumption Index (CBECI) - Bitcoin's global electricity consumption in TwH.
Note: Uses MONTHLY averages of raw data from CBECI. TV script run-time is too slow with Daily/Weekly data here.
This requires manual updating once a month for ongoing accuracy.
Source
Crypto addict 7 Accurate Buy & Sell indicators
The below indicators are recommended on the daily chart only.
Yellow Diamond - Possible bottom of the market. This diamond will only flash a few times in a cycle on the BTC chart. This is actually one the BEST buying signal
Green Buy – Buy
Red Sell - Sell / take profits
BIG red cross – Possible top and best signal to sell or take profits
BIG green cross – possible bottom and the best signal to buy
Silver Line – 111 MA
The modified 111 moving average is also a very good indicator. The market will test this support/resistance before the 200 moving average.
Purple line – 200 MA
The modified 200 moving average is a very good indicator. You will get a feel if the markets are in a up or down trend and identifying support and resistance areas. A daily candle close above the line is support and markets can move upwards. A daily close below indicate resistance and markets will move downwards
Red line – Confirmed bullish / bearish cycle!!
Green Line - This MA line indicate the bottom of the cycle - your absolute best entry point for the next cycle. This MA got a 10-year accurate record.
Remember that past history does not guarantee future results.
PuetzUWS [time, price] multiFractal mirrors, SPX 1872-2020This script is simply provided because a few rare people may actually be able to use one or two coding ideas. It is not possible to provide useful (description, explanation)s here. Maybe you can find those with a webSearch. If anybody is interested in the basic concept, just copy the code and run with it.
As the original was in violation of PineScript rules, I've removed many links, including :
- documentation of my code
- external sources of code
- blog solutions to Pine script programming
- math, science references, people
Hopefully it will won't be rejected this time, if so, too bad. I only made it through 10% of the conceptual objectives, and I do not believe any of the rest of the concepts are do-able in Pine Script. The current coding is (incomplete, unstable) but does give a faint idea of my "first step" intents. I have stopped all work, as I have to get back to my real projects (nothing to do with markets).
Multiple EMAAn exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average (SMA), which applies an equal weight to all observations in the period.
Here, i have merged multiple EMA into one indicator. traders would find it very convenient as multiple widely used EMA`s are merged into 1 indicator. one can also change the time and color from its settings as per their convenience.
About the practicality of this EMA`s:
Every EMA suggests the sentiments in a period of time.
The longer-day EMAs (i.e. 50 and 200-day) tend to be used more by long-term investors, while short-term investors tend to use 8 and 20 day EMAs.
One may prefer to short or to hedge their position when 200 day moving average is broken downside. vise-versa for long. Normally in one may expect around 2-3% move on either side when broken with volumes supporting it.
Fibonacci Zone Study w/Candles - R3c0nTraderCredits:
Thank you "eykpunter" for granting me permission to use "Fibonacci Zones" to create this study
What does this do? How is it different?
This study was created so it can be used with the strategy 'Fibonacci Zone DCA Strategy - R3c0nTrader' in order to generate buy/sell signals for a 3Commas bot.
I was not able to use "eykpunter's" "Fibonacci Zones" to create these signals as it was missing the code for this. To create the buy or sell signal you need to be able to create an alert for when the price moves through the Fib levels. Unfortunately, the "price" is not available to be selected when creating an alert with the original study. Hence the need to create this new study and to resolve the issue.
This study has overlay turned off by default so it will appear in a separate pane below your active chart. I did this so I can clearly view and separate the strategy from the study.
Steps Overview:
Add the study to your chart
Configure the study to match the Fib length you used in the strategy.
Create Alerts from the study to generate the buy or sell signals to 3Commas
The below steps for creating signals are just examples! Since there are numerous ways you can open or close a trade from a signal, please do your own testing. This cannot be understated.
Example of how to generate buy signals:
After adding the study, select the three dots for this study and click on "Add an alert on Fibonacci Zone Study /w Candles…"
Setup the condition to trigger the alert. If you want to initiate a buy when the price crosses over the top of the lower Fib zone (downtrend zone), then use the following:
Condition>Fibonacci Zone Study>Price High>Crossing Up>Fibonacci Zone Study>Top-Low Fib Border
Options>Once per bar
Expiration>Open-ended
Alert actions>Webhook URL (use the 3Commas webhook URL)
Alert name>Enter a name, "BUY Paper-Fib-Bot"
Message>Use the 3Commas message from the paper bot to open the trade
Example of how to generate sell signals:
After adding the study, select the three dots for this study and click on "Add an alert on Fibonacci Zone Study /w Candles…"
Setup the condition to trigger the alert. If you want to initiate a sell when the price reaches the top of the High Fib zone (uptrend zone), then try the following:
Condition>Fibonacci Zone Study>Price High>Crossing Up>Fibonacci Zone Study>Top-High Fib Border
(Note: I used "Crossing Up" but "Crossing" is another option; I just haven't tested it yet with a paper bot)
Options>Once per bar
Expiration>Open-ended
Alert actions>Webhook URL (use the 3Commas webhook URL)
Alert name>Enter a name, "SELL Paper-Fib-Bot"
Message>Use the 3Commas message from the paper bot to close the trade
Highest and Low %See the overview of the highest percentage of ascent.
And what percentage of the price is the last drop from the highest
ใช้ดูภาพรวม ของราคา เปอร์เซ็นต์การขึ้นสูงสุด
และราคาที่ลดลงล่าสุด จากสูงสุด คือกี่เปอร์เซ็นต์
Fibonacci Zone DCA Strategy - R3c0nTraderCredits:
Thank you "eykpunter" for granting me permission to use "Fibonacci Zones" to create this strategy
Thank you "junyou0424" for granting me permission to use "DCA Bot with SuperTrend Emulator" which I used for adding bot inputs, calculations, and strategy
Pre-requisites:
You can use this script without a 3Commas account and see how 3Commas DCA Bot would perform. However, I highly recommend signing up for their free account, going through their training, and testing this strategy with a paper bot. This would give you a base understanding of the settings you will see in this strategy and why you will need to know them.
What can this do?
First off, this is a Long only strategy as I wrote it with DCA in mind. It cannot be used for shorting. Shorting defeats the purpose of a DCA bot which has a goal that is Long a position not Short a position. If you want to short, there are plenty of free scripts out there that do this.
I created this script out of curiosity and I wanted to see how a strategy based on “Fibonacci” levels would work with a 3Commas DCA bot. I came across "eykpunter’s" "Fibonacci Zones" study and in TradingView and I found it to be a very interesting concept. The "Fib Zones" in his study are basically a "Donchian Channel" of 4 Fibonacci lines. These are the High @ 0.236, Center High @ 0.382, Center Low @ 0.618, and Low @ 0.764.
The Fib Zones in this strategy can be used as conditions to open a trade as well as closing a trade. There is also the option to close a trade based on a Target Take Profit (%).
Advanced Fibonacci trading is also supported by specifying additional parameters for Trade Entry and Exit.
For example, for order entry, you can increase the minimum trend strength to open an order via the "minimum ADX value" option. You can also further limit order entry by selecting the option to "Only open trades on bullish +DI" (Positive Directional Index).
Or you can play the contrarian. For example, I would look for "buying the dip" opportunities by doing the following under "Trade Entry Settings":
Set the "Min ADX value to open trade" to zero
Set the option "Open a trade when the price moves" to "1-To the bottom of Downtrend Fib zone" or "2-Higher than the top of the Downtrend Fib zone"
Uncheck option "Only open trades on bullish +DI"
Set the 'Min ADX value to open trade' to Zero
Set the 'Max +DI value to open trade' to a value between 10-20.
For Trade Exit settings, I can use a "Target Take Profit (%)" or one of the High Fib levels to close the trade.
Here's an example result when using a Contrarian-Fibonacci-Zone-DCA strategy:
Explanation of Chart lines and colors on chart
Six Options for Entering a Fibonacci Trade
Open a trade when the price moves:
1-To the bottom of Downtrend Fib zone
2-Higher than the top of the Downtrend Fib zone
3-Higher than the bottom of Ranging Fib Zone
4-Higher than the top of Ranging Fib Zone
5-Higher than the bottom of Uptrend Fib Zone
6-To the top of Uptrend Fib Zone
Three Options for Exiting a Fibonacci Trade
Take profit using:
"Target Take Profit (%)"
"High Fibonacci Border-1"
"High Fibonacci Border-2"
Pivot Points Standard Higher Timeframe█ OVERVIEW
This indicator was intended as educational purpose only and alternative way to write pine script in version 5 for Pivot Points Standard.
█ CREDITS
Credits to TradingView for original built-in source code.
█ FEATURES
Display price or percentage.
Change color for labels and lines.
█ USAGE EXAMPLES
Neuracap Price WidgetThe price widget shows what is the high and low of the stock along with the date on which that happened. It also shows how much potential return is possible if the stock goes from the low to the high.
By default, 52 weeks has been set as the time period, but that can be changed.
It helps to show how much the price has fallen from the top otherwise we need to use the "Price Range" tool on each chart separately and every time the data is changing
T.I.P. Hoffman's scalp indicatorThis script is based on Rob Hoffman's trading strategy. I do my best to implement and cover all necessary parts for the complete strategy, including multiple moving averages and Hoffman's retracement strategy according to bars (45%).
Difference that I do on my own is that my script follow the trend, based on SMA50, so script will not give you Long signals, including bar retracement signals, if price is not above the SMA50, while for Short signal is opposite rule. Long/Short signal will always show only in case if complete bar is away of SMA5, which means completely above for Long, or completely below SMA5 for Short. In that case SL will be on SMA5.
There is two ways to control take profit and stop loss lines, one with auto calculated - according to SMA5, and the other way is to put your desired % for SL and TP. First-Auto way is always calculate % differences between open position and SMA5, so in that case position of SMA5 will be SL while TP will be in size 1:1.5 .
I hope this script means something to someone. If there is some more tips-ways to improve it do not hesitate to contact me.
Best Regards to All of You!
Financial DeepeningFinancial Deepening is defined as increases in the ratio of a country's financial assets to its GDP. It has the effect of increasing liquidity. Having access to money can provide more opportunities for investment growth. If done properly financial deepening can increase the country's resilience and boost economic growth.
US Money Supply M2 / US GDP. (ratio)
[BM] HTF Candle Evolution█ OVERVIEW
This script shows how a higher timeframe candle evolves over time.
It was created as a visual aid to #TheStrat and provides a new way of looking at Timeframe Continuity.
█ FEATURES
General
HTF: Higher Timeframe selection with dropdown and ability to manually input a timeframe that is not present in the dropdown.
Label: Show a label with the selected higher timeframe.
Marker: Shows a marker symbol at the start of each new higher timeframe.
Align: Aligns the candles around a selected center line.
The Strat
Multi-timeframe analysis is used extensively in #TheStrat (created by Rob Smith), so the ability to add #TheStrat coloring has been made available.
Scenario: Define the colors for the strat scenario's.
Coloring of: Choose which part of the candles you want the selected strat scenario colors to be applied to.
Band: Display a band that shows the active strat scenario color of the selected higher timeframe.
All features are completely customizable.
Sentient levelThe indicator presented here is made based on the study published on NSE:INDIAVIX . Basically it shows 2 sigma (by default) trading ranges of the next day (by default) of indices e.g. NSE:NIFTY & NSE:BANKNIFTY . Everyday three new lines get plotted automatically on the chart of the instrument (preferably NSE:NIFTY & NSE:BANKNIFTY ) you want to trade. Generally it's expected that the index to be traded within the ranges however in case of major gap-up or gap-down if the index opens above the higher range or below the lower range then it's assumed that the day to remain very volatile. This three lines can be considered as important support/resistance . Default parameters are set in consideration of day trading however user can modify them manually as per their trading style.
If you like my work you can donate through Tradingview coin. Thanks
Highlight last bar, work on all timeframe, v4 & v5 @magnummHighlight last bar only. No refresh needed.
Works on all time frame and for version 4 & 5.
Can be added in your own scripts copy/pasting just one line.
//DON'T FORGET TO HYDRATE
Gapgap indicator
True type:
The gap formed between the closing price of the last bar on Friday of the "current" chart period and the opening price of Monday of the "current" chart period
Fix type :
Displays the "daily" gap between Friday's close and Monday's open in "any" chart period
Intution type :
Any gaps are marked
(Not recommended to use in small cycles. There will be a lot of gaps due to the small transaction volume)
Short Selling EMA Cross (By Coinrule)BINANCE:AVAXUSDT
This short selling script works best in periods of downtrends and general bearish market conditions, with the ultimate goal to sell as the the price decreases further and buy back before a rebound.
This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to to hodl this cash, or use it to reinvest when the market reaches attractive buying levels.
Entry
The exponential moving average ( EMA ) 20 and EMA 50 have been used for the variables determining the entry to the short. EMAs can operate better than simple moving averages due to the additional weighting placed on the most recent data points, whereas simple moving averages weight all the data the same. This means that price is tracked more closely and the most recent volatile moves can be captured and exploited more efficiently using EMAs.
Our backtesting data revealed that the most profitable timeframe was the 30-minute timeframe, this also enabled a good frequency of trades and high profitability.
A fast (shorter term) exponential moving average , in this strategy the EMA 20, crossing under a slow (longer term) moving average, in this example the EMA 50, signals the price of an asset has started to trend to the downside, as the most recent data signals price is declining compared to earlier data. The entry acts on this principle and executes when the EMA 20 crosses under the EMA 50.
Enter Short: EMA 20 crosses under EMA 50.
Exit
This script utilises a take profit and stop loss for the exit. The take profit is set at -8% and the stop loss is set at +16% from the entry price. This would normally be a poor trade due to the risk:reward equalling 0.5. However, when looking at the backtesting data, the high profitability of the strategy (93.33%) leads to increased confidence and showcases the high probability of success according to historical data.
The take profit (-8%) and the stop loss (+16%) of the strategy are widely placed to ensure the move is captured without being stopped out due to relief rallies. The stop loss also plays a role of mitigating losses and minimising risk of being stuck in a short position once there has been a fundamental trend reversal and the market has become bullish .
Exit Short: -8% price decrease from entry price.
OR
Exit Short: +16% price increase from entry price.
Tip: Research what coins have consistent and large token unlocks / highly inflationary tokenomics, and target these during bear markets to short as they will most likely have substantial selling pressure that outweighs demand - leading to declining prices.
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.
The backtesting data was recorded from December 1st 2021, just as the market was beginning its downtrend. We therefore recommend analysing the market conditions prior to utilising this strategy as it operates best on weak coins during downtrends and bearish conditions.
Money Velocity Population Adjusted (MVPA)MVPA=GDPPC/( M2 /POP). An adaptation to normal Money Velocity, taking into account populations for more volatile plots/different perspective. Major world economy's money supply velocity. Compare how each country's monetary policy has played out and current trajectory in comparison to others. The velocity of money is a measure of the number of times that the average unit of currency is used to purchase goods and services within a given time period. The concept relates the size of economic activity to a given money supply, and the speed of money exchange is one of the variables that determine inflation .