Percentages from 52 Week HighThis script is helpful for anyone that wants to monitor 5, 10, 20, 30, 40, 50% drops from the 52 week moving high.
I have been using a version of this script for a few years now and thought I would share it back with the community as I wrote it in 2021 to find quick deals when flipping through charts of stocks I've been watching. I never seemed to find anything doing this simple yet intuitive thing and I found myself regularly computing these lines manually on each chart. This will save you from having to do that as it automatically draws each level on your chart based on the recent 52 week or daily high.
I recently added the ability to turn on/off different levels and defaulted to setting 5, 10, and 20 % drops from the 52 week high. You can also change this to be a 52 day moving high if that's your preference.
Please let me know if you have ideas for modification as I wanted to share this with the community given I had not seen anything out there giving me what I wanted - which is why I wrote it.
All the best friends.
Recherche dans les scripts pour "泰国一寺庙被曝藏有40多具尸体"
MVRV-Z adjusted EN version (by ilyaevp95)Descriptions:
The MVRV Z-Score indicator is a powerful tool designed by original authors Murad Mahmudov and David Puell for BTC to help traders make informed decisions about their cryptocurrency investments. It is based on the MVRV (Market Value to Realized Value) metric, which measures the relationship between the market capitalization and the realized capitalization of a cryptocurrency. The indicator provides signals for accumulating or selling an asset based on deviations in market capitalization from realized capitalization.
How it works:
Market Capitalization : This is the total value of coins that have been issued at a given point in time. Market capitalization is calculated by multiplying the current price of the asset by the number of coins that have been issued.
Realized Capitalization (Realized Price) : This is the amount of money that has been spent on purchasing a particular asset. In the context of cryptocurrencies, it represents the sum of all transaction values for a specific blockchain. Realized capitalization can be calculated using historical data on transaction prices.
MVRV Metric : The MVRV metric compares market capitalization with realized capitalization, providing a measure of how overvalued or undervalued a cryptocurrency is relative to its historical transaction data. A high MVRV value indicates that the market is overvaluing the asset, while a low MVRV suggests undervaluation.
Z-Score Calculation : The Z-score is a statistical measure that normalizes the deviation of market capitalization from its mean value (realized capitalization) to a standard deviation. This makes it possible to compare assets that have different values and time periods, as it takes into account the volatility of the market.
Note: For accurate Z-score calculation, you need to use the indicator on a chart with a mostly complete historical data set for a specific cryptocurrency.
Signals : Based on the Z-score, the indicator generates signals for accumulation or sale. If the Z-score falls below a certain threshold (negative), it may indicate an opportunity to accumulate the asset. Conversely, if the Z-score rises above a positive threshold, it could suggest a potential sell signal.
The indicator uses a color-coded system to provide traders with visual cues:
Green background indicates a signal to accumulate.
Orange (Red) background indicates a signal to sell.
Deviations exceeding the specified thresholds by 1 and 2 Z (positive direction), 0.5 and 1 Z (negative direction) are highlighted in a brighter color, indicating more extreme deviations.
Note: The signals provided by this indicator should not be considered financial advice. Traders should conduct their own research (DYOR) before making any investment decisions.
Parameters: The indicator provides several parameters for customization:
Blockchain : The blockchain for which the analysis is performed. This allows the user to select the specific blockchain they are interested in analyzing. The default value is BTC.
Z threshold for positive deviations : This parameter sets the threshold above which the deviation will be considered positive. A higher value will result in fewer signals, while a lower value may generate more false signals. The default value is 3.0.
Z threshold for negative deviations : Similar to the previous parameter, this sets the threshold below which the deviation will be considered negative. The default value is 0.
Market Capitalization : There are two types of market capitalization available: Standard and Free float coin capitalization. Free float is calculated by multiplying its current price by the total number of units in free circulation - the number that are not locked in any contracts or other forms of restriction. For DASH, ZEC, BAT and ALGO available only Free float capitalization. The default value is "Standard"
Negative Deviation Filter Mode : When enabled, if the deviation has been positive for a certain number of previous weeks (the default value is 40 weeks), the indicator will not generate a signal to accumulate. This helps to avoid false signals during the start of a bearish market. This may be helpful for volatile coins, whose price can drastically fall below the realized price after the end of a bull market. The default setting is "disabled".
Display Options:
MVRV plot : Displays the MVRV metric for the selected blockchain.
Z-Score plot : Shows the Z-score calculated by the indicator.
Realized Price plot : Provides a visual representation of the realized price of the cryptocurrency on main chart.
S ignal Display : Choose whether to display signals on the main chart or in a separate panel.
Historical mode : Choose whether to show signals for all historical data on the chart or for a certain number of periods. The default setting is "disabled".
Multiple Instrument Automation ScreenerI have developed a Pine Script indicator on TradingView designed to demonstrate how to automate execution for ten instruments. This example utilizes a straightforward, Simple Moving Average (SMA) indicator. You can use it as a template, but use your indicator.
The indicator computes long/short signals based on the crossing of the SMA using the security function
It acts as a screener, presenting calculation results in an organized table format.
Utilizing the varip variable, the indicator sends alerts for multiple instruments sequentially rather than simultaneously.
For every generated signal, the indicator builds and sends a JSON execution command to a third-party tool, ensuring seamless integration and automation. You can use your own format.
Sent alerts look like this:
{"ticker": "DOGEBTC","action": "buy","price": "0.00000199","time": "1719754620658"}
Details and Limitations
Instrument Limit: The example is configured for ten instruments for simplicity. However, it can be expanded to handle up to 40 instruments.
Alert Rate Limit: There is a rate limit of 15 alerts in 3 minutes. Exceeding this limit may cause some alerts to be stopped. This can be managed by tracking the alert times and delaying some alerts, though this may affect the entry prices.
Timing of Signal Generation : The indicator processes signals at the bar close to the active instrument. Due to its computational complexity, there is a slight delay in collecting all records, potentially causing signals to reflect a few seconds before the bar closes. Care should be taken when executing based on these signals.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Hindsight TrendNon-realtime but highly accurate trend analyzer with only one fundamental parameter ( period aka "minimum trend length")
Basically Hindsight Trend is pivot points on steroids (handles many cases much better). Plus it shows the trend line.
Period
I usually like periods of 10, 20 or 30.
The indicator's delay is identical to the chosen period.
You can actually try a low period like 4 or 5 to get something resembling a realtime indicator.
Uptrends are based on candle lows, downtrends are based on candle highs. So it is possible to have an uptrend and a downtrend at the same time.
Triangles
At trend start, a triangle is drawn. (Trendline isn't always there if the trend didn't last that long.)
Triangle size shows how long the high or low that started the trend remained unbroken. E.g. with period 20: Small triangle = 20+ candles, medium triangle = 40+ candles, big triangle = 80+ candles. So a big triangle marks an important reversal point.
How Hindsight Trend works
Whenever a candle completes, its high and low are saved as potentially "notable" points. A high or low is the more notable the longer it stays unbroken (= not touched again by price).
Now we simply take the notable highs and lows (as in, staying unbroken at least for the user-selected period)... and connect them together - if they are close enough to each other (less than "period" candles away). And decorate the first point in each trend with a triangle.
We only know whether a point is notable after "period" more candles have printed, so that's where the indicator's delay comes from.
Finally we divide the period by 2 and look at highs and lows which are unbroken for that shorter time. While they are not fully "notable" as defined above, we'll call them "semi-notable". Those points are only considered at the end of a trend, and help us extend the trend line a bit further.
Capitulation Candle for Bitcoin and Crypto V1.0 [ADRIDEM]Overview
The Capitulation Candle for Bitcoin and Crypto script identifies potential capitulation events in the cryptocurrency market. Capitulation candles indicate a significant sell-off, often marking a potential market bottom. This script highlights such candles by analyzing volume, price action, and other technical conditions. Below is a detailed presentation of the script and its unique features.
Unique Features of the New Script
Volume-Based Analysis : Uses a volume multiplier to detect unusually high trading volumes, which are characteristic of capitulation events. The default multiplier is 5.0, but it can be adjusted to suit different market conditions.
Support Level Detection : Looks back over a customizable period (default is 150 bars) to find support levels, helping to identify significant price breaks.
ATR-Based Range Condition : Ensures that the price range of a capitulation candle is a multiple of the Average True Range (ATR), confirming significant price movement. The default ATR multiplier is 10.0.
Dynamic Dot Sizes : Plots dots of different sizes below capitulation candles based on volume thresholds, providing a visual indication of the volume's significance.
Visual Indicators : Highlights capitulation candles and plots support levels, offering clear visual cues for potential market bottoms.
Originality and Usefulness
This script uniquely combines volume analysis, support level detection, and ATR-based range conditions to identify capitulation candles. The dynamic dot sizes and clear visual indicators make it an effective tool for traders looking to spot potential reversal points in the cryptocurrency market.
Signal Description
The script includes several features that highlight potential capitulation events:
High Volume Detection : Identifies candles with unusually high trading volumes using a customizable volume multiplier.
Support Level Breaks : Detects candles breaking significant support levels over a customizable lookback period.
ATR Range Condition : Ensures the candle's range is significant compared to the ATR, confirming substantial price movement.
Dynamic Dot Sizes : Plots small, normal, and large dots below candles based on different volume thresholds.
These features assist in identifying potential capitulation events and provide visual cues for traders.
Detailed Description
Input Variables
Volume Multiplier (`volMultiplier`) : Detects high-volume candles using this multiplier. Default is 5.0.
Support Lookback Period (`supportLookback`) : The period over which support levels are calculated. Default is 150.
ATR Multiplier (`atrMultiplier`) : Ensures the candle's range is a multiple of the ATR. Default is 10.0.
Small Volume Multiplier Threshold (`smallThreshold`) : Threshold for small dots. Default is 5.
Normal Volume Multiplier Threshold (`normalThreshold`) : Threshold for normal dots. Default is 10.
Large Volume Multiplier Threshold (`largeThreshold`) : Threshold for large dots. Default is 15.
Functionality
High Volume Detection : The script calculates the simple moving average (SMA) of the volume and checks if the current volume exceeds the SMA by a specified multiplier.
```pine
smaVolume = ta.sma(volume, supportLookback)
isHighVolume = volume > smaVolume * volMultiplier
```
Support Level Detection : Determines the lowest low over the lookback period to identify significant support levels.
```pine
supportLevel = ta.lowest(low , supportLookback)
isLowestLow = low == supportLevel
```
ATR Range Condition : Calculates the ATR and ensures the candle's range is significant compared to the ATR.
```pine
atr = ta.atr(supportLookback)
highestHigh = ta.highest(high, supportLookback)
rangeCondition = (highestHigh - low ) >= (atr * atrMultiplier)
```
Combining Conditions : Combines various conditions to identify capitulation candles.
```pine
isHigherVolumeThanNext = volume > volume
isHigherVolumeThanPrevious = volume > volume
bodySize = math.abs(close - open )
candleRange = high - low
rangeBiggerThanPreviousBody = candleRange > bodySize
isCapitulationCandle = isHighVolume and isHigherVolumeThanPrevious and isHigherVolumeThanNext and isLowestLow and rangeCondition and rangeBiggerThanPreviousBody
```
Dynamic Dot Sizes : Determines dot sizes based on volume thresholds and plots them below the identified capitulation candles.
```pine
isSmall = volume > smaVolume * smallThreshold and volume <= smaVolume * normalThreshold
isNormal = volume > smaVolume * normalThreshold and volume <= smaVolume * largeThreshold
isLarge = volume > smaVolume * largeThreshold
plotshape(series=isCapitulationCandle and isSmall, location=location.belowbar, offset=-1, color=color.rgb(255, 82, 82, 40), style=shape.triangleup, size=size.small)
plotshape(series=isCapitulationCandle and isNormal, location=location.belowbar, offset=-1, color=color.rgb(255, 82, 82, 30), style=shape.triangleup, size=size.normal)
plotshape(series=isCapitulationCandle and isLarge, location=location.belowbar, offset=-1, color=color.rgb(255, 82, 82, 20), style=shape.triangleup, size=size.large)
```
Plotting : The script plots support levels and highlights capitulation candles with different sizes based on volume significance.
```pine
plot(supportLevel, title="Support Level", color=color.rgb(255, 82, 82, 50), linewidth=1, style=plot.style_line)
```
How to Use
Configuring Inputs : Adjust the volume multiplier, support lookback period, ATR multiplier, and volume thresholds as needed.
Interpreting the Indicator : Use the plotted support levels and highlighted capitulation candles to identify potential market bottoms and reversal points.
Signal Confirmation : Look for capitulation candles with high volumes breaking significant support levels and meeting the ATR range condition. The dynamic arrow sizes help to assess the volume's significance.
This script provides a detailed and visual method to identify potential capitulation events in the cryptocurrency market, aiding traders in spotting possible reversal points and making informed trading decisions.
Glitch IndexGlitch Index is an oscillator from an unknown origin that is discovered in 2013 as a lua indicator taken from MetaStock days and we are not really sure how far back the original idea goes.
How it Works?
As I found this indicator and looking at it's code in different platform I can see it comes back from a basic idea of getting a price value, calculating it's smoothed average with a set multiplier and getting the difference then presenting it on a simplified scale. It appears to be another interpretation of figuring out price acceleration and velocity. The main logic is calculated as below:
price = priceSet(priceType)
_ma = getAverageName(price, MaMethod, MaPeriod)
rocma = ((_ma - _ma ) * 0.1) + 1
maMul = _ma * rocma
diff = price - maMul
gli_ind = (diff / price) * -10
How to Use?
Glitch Index can be used based on different implementations and along with your already existing trading system as a confirmation. Yoıu can use it as a Long signal when the histogram crosses inner levels or you can use it as an overbough and oversold signals when the histogram crosses above outter levels and gets back in the range between outter and inner levels.
You can customise the settings and set your prefered inner and outter levels in indicator settings along with gradient or static based coloring and modify the code as you see fit. The coloring code is set below:
gli_col = gli_ind > outterLevel ? color.green : gli_ind < -outterLevel ? color.red : gli_ind > innerLevel ? color.rgb(106, 185, 109, 57) : gli_ind < -innerLevel ? color.rgb(233, 111, 111, 40) : color.new(color.yellow, 60)
gradcol = color.from_gradient(gli_ind, -outterLevel, outterLevel, color.red, color.green)
colorSelect = colorType == "Gradient" ? gradcol : gli_col
ColourUtilitiesLibrary "ColourUtilities"
Utility functions for colour manipulation
adjust_colour(rgb, desaturation_amount, transparency_amount)
to reduce saturation or increase transparency of an RGB colour
Parameters:
rgb (color)
desaturation_amount (float) : 0 means no desaturation (colours remains as-is), and 1 means full desaturation (colour turns grey). Can also be used inversely with negative numbers
transparency_amount (float) : How much more transparent the default transparency should become. E.g. with a value of 0.5, a transparency of 0 becomes 50 and 40 becomes 70. A value of 1 makes it fully transparent, en -1 fully opaque.
Returns: color with adjusted saturation and transparency
method apply_default_palette(self, palette_name)
Some nice looking colour palettes, consisting of 6 gradient colours, are already defined here and can be quickly applied to the Palette class
Namespace types: Palette
Parameters:
self (Palette)
palette_name (string) : Currently there are 4 6-coloured palettes available: "GYTS flux signal", "GYTS purple", "GYTS flux filter" and "GYTS maroon"
Returns: None, as it populates the Palette class with pre-defined colours
method get_colour(self, colour_no, transparency)
Retrieves colour from the palette and possibly changes transparency if set
Namespace types: Palette
Parameters:
self (Palette)
colour_no (int) : from the palette
transparency (int) : to possibly change the default transparency of the palette
Returns: colour
method get_dynamic_colour(self, x, mid_point, colour_lb, colour_ub, trend_lookback, use_rate)
Retrieves a colour based on strength and direction of the passed series
Namespace types: Palette
Parameters:
self (Palette)
x (float) : the input data series
mid_point (float) : value as a cutoff point where the bullish/bearish colour scenario
colour_lb (float) : value (lower bound) where to apply the bearish colour at full strength
colour_ub (float) : value (upper bound) where to apply the bullish colour at full strength
trend_lookback (int) : how much bars back to check if there was a consistent move into a certain direction, otherwise a the neutral colour from the centre of the palette will be used.
use_rate (bool) : whether to use the rate (proportional difference with previous `x` value) or the input series `x` directly
Returns: colour
Palette
Fields:
transparency (series__integer)
palette (array__color)
RSI Screener / Heatmap - By LeviathanThis script allows you to quickly scan the market by displaying the RSI values of up to 280 tickers at once and visualizing them in an easy-to-understand format using labels with heatmap coloring.
📊 Source
The script can display the RSI from a custom timeframe (MTF) and custom length for the following data:
- Price
- OBV (On Balance Volume)
- Open Interest (for crypto tickers)
📋 Ticker Selection
This script uses a different approach for selecting tickers. Instead of inputting them one by one via input.symbol(), you can now copy-paste or edit a list of tickers in the text area window. This approach allows users to easily exchange ticker lists between each other and, for example, create multiple lists of tickers by sector, market cap, etc., and easily input them into the script. Full credit to @allanster for his functions for extracting tickers from the text. Users can switch between 7 groups of 40 tickers each, totaling 280 tickers.
🖥️ Display Types
- Screener with Labels: Each ticker has its own color-coded label located at its RSI value.
- Group Average RSI: A standard RSI plot that displays the average RSI of all tickers in the group.
- RSI Heatmap (coming soon): Color-coded rows displaying current and historical values of tickers.
- RSI Divergence Heatmap (coming soon): Color-coded rows displaying current and historical regular/hidden bullish/bearish divergences for tickers.
🎨 Appearance
Appearance is fully customizable via user inputs, allowing you to change heatmap/gradient colors, zone coloring, and more.
Multi-Timeframe SMA Crossover Indicator## Description of the "Multi-Timeframe SMA Crossover Indicator" script
### Introduction:
The "Multi-Timeframe SMA Crossover Indicator" script is a technical indicator created in Pine Script for the TradingView platform. It is a technical indicator that helps traders identify signals of simple moving average (SMA) crossovers on different timeframes.
### Features:
1. **Multi-Timeframe Analysis:** The script covers various timeframes, allowing traders to analyze SMA crossover signals on different time scales.
2. **SMA Crossover Signals:** The script identifies moments when the crossover of 20 and 40 simple moving averages occurs on timeframes ranging from 1 minute to 120 minutes.
3. **Visualization:** It visualizes SMA crossover signals on the chart, making it easy for traders to identify trend reversal points.
### How to Use:
1. **Interpreting Signals:** A positive signal (green) indicates that the SMA crossover suggests a potential uptrend, while a negative signal (red) suggests a potential downtrend.
2. **Multiple Confirmation:** Traders can seek trend confirmation by analyzing signals on different timeframes. Confirming signals on multiple timeframes can increase confidence in the trade.
### Application:
The "Multi-Timeframe SMA Crossover Indicator" script can be used as a supplementary tool in making investment decisions in financial markets, especially when analyzing trends and identifying entry or exit points.
### Notes:
1. The script is based on simple moving averages (SMA), which can be useful for traders using trend analysis strategies.
2. Investors should use other technical analysis indicators and tools in conjunction with this indicator to obtain a more comprehensive market analysis.
### Conclusion:
The "Multi-Timeframe SMA Crossover Indicator" script is a useful tool for traders who want to analyze trend changes on different timeframes. By using this tool, investors can make better-informed investment decisions in financial markets.
Dynamic Candle Balance Indicator (Binary)
Dynamic Candle Balance Indicator
The Dynamic Candle Balance Indicator is a powerful tool designed to identify imbalances in candle colors on a chart, which can indicate potential reversals or changes in market direction. This indicator is specifically developed for traders operating on short timeframes, such as 1-minute candles, and is particularly useful for identifying opportunities in binary options.
How to Use:
Set Parameters
Initial Position: Specify the number of initial candles to be considered for calculation.
Count: Determine the total number of candles to be analyzed, including the initial position.
Interpret Results:
Green: Indicates the number of bullish candles (where the closing price is higher than the opening price).
Red: Indicates the number of bearish candles (where the closing price is lower than the opening price).
Absent: Indicates the number of candles that were not considered due to the selected interval.
Performance Analysis:
The indicator calculates the percentage of green and red candles relative to the total number of analyzed candles, providing insights into market balance or imbalance.
Identify Trading Opportunities:
Significant imbalances between candle colors can indicate potential reversals or changes in market direction.
Traders can use this information to make informed decisions about their trading strategies, such as identifying entry or exit points.
Example:
In the last 40 candles, there were 13 green candles and 27 red candles, indicating a higher likelihood of the next candle being green.
Usage Tips:
The indicator is most effective when used on a 1-minute timeframe for binary options trading, especially during periods of high imbalance.
Adjust the parameters according to your trading strategy and the timeframe being analyzed.
Combine the Dynamic Candle Balance Indicator with other technical analysis tools to confirm trading signals.
Legal Disclaimer:
This indicator is provided for educational and informational purposes only. It represents a theory and should be used as part of a comprehensive trading strategy. Past performance is not indicative of future results. Traders should always conduct their own analysis before making trading decisions.
Try out the Dynamic Candle Balance Indicator and leverage its functionalities to identify trading opportunities on short-term charts, especially in 1-minute timeframes for binary options trading during periods of high imbalance. Remember to test the indicator on a practice account before using it on a real account.
RSI over screener (any tickers)█ OVERVIEW
This screener allow you to watch up to 240 any tickers you need to check RSI overbought and oversold using multiple periods, including the percentage of RSIs of different periods being overbought/oversold, as well as the average between these multiple RSIs.
█ THANKS
LuxAlgo for his RSI over multi length
I made function for this RSI and screener based on it.
allanster for his amazing idea how to split multiple symbols at once using a CSV list of ticker IDs
█ HOW TO USE
- hide chart:
- add 6 copies of screener
- change list number at settings from 1 to 6
- add you tickers
Screener shows signals when RSI was overbought or oversold and become to 0, this signal you may use to enter position(check other market condition before enter).
At settings you cam change Prefics, Appendix and put you tickers.
limitations are:
- max 40 tickers for one list
- max 4096 characters for one list
- tickers list should be separated by comma and may contains one space after the comma
By default it shows almost all BINANCE USD-M USDT tickers
Also you can adjust table for your screen by changing width of columns at settings.
If you have any questions or suggestions write comment or message.
RVOL++Overview
RVOL++ is a valuable tool for intraday traders to gauge market participation and anticipate the pace of the market. By understanding the RVOL levels, traders can adjust their strategies and expectations to align with the current market conditions. RVOL is a simple mathematical formula that compares the current volume to a prior lookback period, such as the previous 5 days or previous 10 days. This indicator helps traders understand the level of interest or participation in the market, which in turn can indicate the speed or pace of the market.
How to calculate RVOL at Time
Check if the current time is within the specified time period (e.g., 9:30 AM to 5:00 PM EST).
If it is, calculate the current cumulative volume for that period.
Find the average cumulative volume for the same period over the past X days (where X is the lookback period).
Calculate the RVOL at Time as:
RVOL at Time =(Current Cumulative Volume/Average Cumulative Volume)×100
For more info about calculating RVOL at time please refer to the Tradingview article.
www.tradingview.com
Key Features of RVOL++
Two Session and Daily Modes: In Two Session mode, it calculates RVOL for two distinct trading sessions, while in Daily mode, it calculates RVOL for the entire trading day. Two Session mode helps for instruments like futures, forex, crypto that trade 23+ hours. If you are using an instrument such as a stock like AAPL, if you don't have pre-market/extended hours enabled you will want to use "Daily Mode".
Session Time Settings: The indicator allows users to define the trading session times in Eastern Standard Time (EST) for more accurate RVOL calculations.
Customizable Lookback Period: Users can set the number of days for the lookback period, allowing for flexibility in calculating the average volume at time (RVOL).
Color-Coded RVOL Histogram: The indicator displays a color-coded histogram to visualize RVOL levels. Different colors represent different RVOL ranges, making it easy to identify low, neutral, and high RVOL periods.
RVOL Ranges**: The indicator defines RVOL ranges as follows:
40 - 80: Low RVOL (Red/Yellow)
80 - 120: Neutral RVOL (Blue/Cyan)
120+: High RVOL (Green-Lime)
Low RVOL Environment
Expect slow market movement with limited opportunities.
Focus on A+ setups and be selective.
Use tighter stops, size down, and adjust trading goals.
Neutral RVOL Environment
Expect a more normalized trading pace with frequent rotations.
Lean on structure and incorporate other trading tools.
Use normal sizing and stop management.
High RVOL Environment
Expect the best opportunities for range expansion and rotations.
Be more relaxed about overtrading but stay focused on structure.
Start with smaller initial size and build up to a full position.
3 Important Value CompositesCalculated on February 17, 2024. USDT 378 items, BTC 282 items, BINANCE
This is a watchlist, along with the most accurate computed values that I could achieve. It may be beneficial for those who want to change values from the "120x ticker screener (composite tickers)" indicator, which is one of the excellent indicators to bypass the limitation of the request. security() function that limits to only 40 requests. I've thought about this before but couldn't succeed, but someone finally did it. :)
--> 120x ticker screener (composite tickers)
Thank you once again for this idea.
You must look for this and change it.
t1 = 'symbol', n1 = Multiply , r1 = Pricescale(decimal)
Example of grouping: Group 1
BINANCE:ETHUSDT , BINANCE:FDUSDUSDT , BINANCE:BTCUSDT
2, 4, 2
13, 10
█ Note
• Tickers: For your watchlist, arrange them from left to right, pairing them in groups of 3.
• Pricescale: This represents the decimal length, arrange them from left to right, pairing them in groups of 3.
• Multiply: This involves multiplying the first 2 items in each pair of watchlists. Arrange them from left to right, pairing them in groups of 2.
* If you group items incorrectly, it may lead to inaccurate results.
* Please be advised that if one of the values in the "Pricescale"(decimal) trio changes, there may be a need to adjust those values accordingly to ensure correct digit separation. Otherwise, within the group, the numbers might appear peculiar.
Backtest any Indicator v5Happy Trade,
here you get the opportunity to backtest any of your indicators like a strategy without converting them into a strategy. You can choose to go long or go short and detailed time filters. Further more you can set the take profit and stop loss, initial capital, quantity per trade and set the exchange fees. You get an overall result table and even a detailed, scroll-able table with all trades. In the Image 1 you see the provided info tables about all Trades and the Result Summary. Further more every trade is marked by a background color, Labels and Levels. An opening Label with the trade direction and trade number. A closing Label again with the trade number, the trades profit in % and the total amount of $ after all past trades. A green line for the take profit level and a red line for the stop loss.
Image 1
Example
For this description we choose the Stochastic RSI indicator from TradingView as it is. In Image 2 is shown the performance of it with decent settings.
Timeframe=45, BTCUSD, 2023-08-01 - 2023-10-20
Stoch RSI: k=30, d=40, RSI-length=140, stoch-length=140
Backtest any Indicator: input signal=Stoch RSI, goLong, take profit=9.1%, stop loss=2.5%, start capital=1000$, qty=5%, fee=0.1%, no Session Filter
Image 2
Usage
1) You need to know the name of the boolean (or integer) variable of your indicator which hold the buy condition. Lets say that this boolean variable is called BUY. If this BUY variable is not plotted on the chart you simply add the following code line at the end of your pine script.
For boolean (true/false) BUY variables use this:
plot(BUY ? 1:0,'Your buy condition hold in that variable BUY',display = display.data_window)
And in case your script's BUY variable is an integer or float then use instate the following code line:
plot(BUY ,'Your buy condition hold in that variable BUY',display = display.data_window)
2) Probably the name of this BUY variable in your indicator is not BUY. Simply replace in the code line above the BUY with the name of your script's trade condition variable.
3) Save your changed Indicator script.
4) Then add this 'Backtest any Indicator' script to the chart ...
5) and go to the settings of it. Choose under "Settings -> Buy Signal" your Indicator. So in the example above choose .
The form is usually: ' : BUY'. Then you see something like Image 2
6) Decide which trade direction the BUY signal should trigger. A go Long or a go Short by set the hook or not.
Now you have a backtest of your Indicator without converting it into a strategy. You may change the setting of your Indicator to the best results and setup the following strategy settings like Time- and Session Filter, Stop Loss, Take Profit etc. More of it below in the section Settings Menu.
Appereance
In the Image 2 you see on the right side the List of Trades . To scroll down you go into the settings again and decrease the scroll value. So you can see all trades that have happened before. In case there is an open trade you will find it at the last position of the list.
Every Long trade is green back grounded while Short trades are red.
Every trade begins with a label that show goLong or goShort and its number. And ends with another label again with its number, Profit in % and the resulting total amount of cash.
If activated you further see the Take Profit as a green line and the Stop Loss as a orange line. In the settings you can set their percentage above or below the entry price.
You also see the Result Summary below. Here you find the usual stats of a strategy of all closed trades. The profit after total amount of fees , amount of trades, Profit Factor and the total amount of fees .
Settings Menu
In the settings menu you will find the following high-lighted sections. Most of the settings have a question mark on their right side. Move over it with the cursor to read specific explanation.
Input Signal of your Indicator: Under Buy you set the trade signal of your Indicator. And under Target you set the value when a trade should happen. In the Example with the Stochastic RSI above we used 20. Below you can set the trade direction, let it be go short when hooked or go long when unhooked.
Trade Settings & List of Trades: Take Profit set the target price of any trade. Stop Loss set the price to step out when a trade goes the wrong direction. Check mark the List of Trades to see any single trade with their stats. In case that there are more trades as fits in the list you can scroll down the list by decrease the value Scroll .
Time Filter: You can set a Start Time or deactivate it by leave it unhooked. The same with End Time .
Session Filter: here you can choose to activate it on weekly base. Which days of the week should be trading and those without. And also on daily base from which time on and until trade are possible. Outside of all times and sessions there will be no new trades if activated.
Invest Settings: here you can choose the amount of cash to start with. The Quantity percentage define for every trade how much of the cash should be invested and the Fee percentage which have to be payed every trade. Open position and closing position.
Other Announcements
This Backtest script don't use the strategy functions of TradingView. It is programmed as an indicator. All trades get executed at candle closing. This script use the functionality "Indicator-on-Indicator" from TradingView.
Conclusion
So now it is your turn, take your promising indicators and connect it to that Backtest script. With it you get a fast impression of how successful your indicator will trade. You don't have to relay on coders who maybe add cheating code lines. Further more you can check with the Time Filter under which market condition you indicator perform the best or not so well. Also with the Session Filter you can sort out repeating good market conditions for your indicator. Even you can check with the GoShort XOR GoLong check mark the trade signals of you indicator in opposite trade direction with one click. And compare your indicators under the same conditions and get the results just after 2 clicks. Thanks to the in-build fee setting you get an impression how much a 0.1% fee cost you in total.
Cheers
PresentTrend RMI Synergy - Strategy [presentTrading] █ Introduction and How it is Different
The "PresentTrend RMI Synergy Strategy" is the combined power of the Relative Momentum Index (RMI) and a custom presentTrend indicator. This strategy introduces a multifaceted approach, integrating momentum analysis with trend direction to offer traders a more nuanced and responsive trading mechanism.
BTCUSD 6h L/S Performance
Local
█ Strategy, How It Works: Detailed Explanation
The "PresentTrend RMI Synergy Strategy" intricately combines the Relative Momentum Index (RMI) and a custom SuperTrend indicator to create a powerful tool for traders.
🔶 Relative Momentum Index (RMI)
The RMI is a variation of the Relative Strength Index (RSI), but instead of using price closes against itself, it measures the momentum of up and down movements in price relative to previous prices over a given period. The RMI for a period length `N` is calculated as follows:
RMI = 100 - 100/ (1 + U/D)
where:
- `U` is the average upward price change over `N` periods,
- `D` is the average downward price change over `N` periods.
The RMI oscillates between 0 and 100, with higher values indicating stronger upward momentum and lower values suggesting stronger downward momentum.
RMI = 21
RMI = 42
For more information - RMI Trend Sync - Strategy :
🔶 presentTrend Indicator
The presentTrend indicator combines the Average True Range (ATR) with a moving average to determine trend direction and dynamic support or resistance levels. The presentTrend for a period length `M` and a multiplier `F` is defined as:
- Upper Band: MA + (ATR x F)
- Lower Band: MA - (ATR x F)
where:
- `MA` is the moving average of the close price over `M` periods,
- `ATR` is the Average True Range over the same period,
- `F` is the multiplier to adjust the sensitivity.
The trend direction switches when the price crosses the presentTrend bands, signaling potential entry or exit points.
presentTrend length = 3
presentTrend length = 10
For more information - PresentTrend - Strategy :
🔶 Strategy Logic
Entry Conditions:
- Long Entry: Triggered when the RMI exceeds a threshold, say 60, indicating a strong bullish momentum, and when the price is above the presentTrend, confirming an uptrend.
- Short Entry: Occurs when the RMI drops below a threshold, say 40, showing strong bearish momentum, and the price is below the present trend, indicating a downtrend.
Exit Conditions with Dynamic Trailing Stop:
- Long Exit: Initiated when the price crosses below the lower presentTrend band or when the RMI falls back towards a neutral level, suggesting a weakening of the bullish momentum.
- Short Exit: Executed when the price crosses above the upper presentTrend band or when the RMI rises towards a neutral level, indicating a reduction in bearish momentum.
Equations for Dynamic Trailing Stop:
- For Long Positions: The exit price is set at the lower SuperTrend band once the entry condition is met.
- For Short Positions: The exit price is determined by the upper SuperTrend band post-entry.
These dynamic trailing stops adjust as the market moves, providing a method to lock in profits while allowing room for the position to grow.
This strategy's strength lies in its dual analysis approach, leveraging RMI for momentum insights and presentTrend for trend direction and dynamic stops. This combination offers traders a robust framework to navigate various market conditions, aiming to capture trends early and exit positions strategically to maximize gains and minimize losses.
█ Trade Direction
The strategy provides flexibility in trade direction selection, offering "Long," "Short," or "Both" options to cater to different market conditions and trader preferences. This adaptability ensures that traders can align the strategy with their market outlook, risk tolerance, and trading goals.
█ Usage
To utilize the "PresentTrend RMI Synergy Strategy," traders should input their preferred settings in the Pine Script™ and apply the strategy to their charts. Monitoring RMI for momentum shifts and adjusting positions based on SuperTrend signals can optimize entry and exit points, enhancing potential returns while managing risk.
█ Default Settings
1. RMI Length: 21
The 21-period RMI length strikes a balance between capturing momentum and filtering out market noise, offering a medium-term outlook on market trends.
2. Super Trend Length: 7
A SuperTrend length of 7 periods is chosen for its responsiveness to price movements, providing a dynamic framework for trend identification without excessive sensitivity.
3. Super Trend Multiplier: 4.0
The multiplier of 4.0 for the SuperTrend indicator widens the trend bands, focusing on significant market moves and reducing the impact of minor fluctuations.
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The "PresentTrend RMI Synergy Strategy" represents a significant step forward in trading strategy development, blending momentum and trend analysis in a unique way. By providing a detailed framework for understanding market dynamics, this strategy empowers traders to make more informed decisions.
Monte Carlo Future Moves [ChartPrime]ORIGINS AND HISTORICAL BACKGROUND:
Prior to the the advent of the Monte Carlo method, examining well-understood deterministic problems via simulation generally utilized statistical sampling to gauge uncertainty estimations. The Monte Carlo (MC) approach inverts this paradigm by modeling with probabilistic metaheuristics to address deterministic problems. Addressing Buffon's needle problem, an early form of the Monte Carlo method estimated π (3.14159) by dropping needles on a floor. Later, the modern MC inception primarily began when Stanislaw Ulam was playing solitaire games while experiencing illness and recovery.
Ulam further developed, applied, and ascribed "Monte Carlo" as a classified code name to maintain a level of secrecy for the modern method applications during collaborative investigations on neutron diffusion and collision intricacies with John von Neumann. Despite having relevant data, physicist's conventional deterministic mathematical methods were unable to solve mysterious "neutronion problems". Monte Carlo filled in the gaps necessary to resolve this perplexing neutron problem with innovative statistics, and the resilient MC continues onward to have diverse application in many fields of science. MC also extends into the realm of relevance within finance.
APPLICATION IN FINANCE:
Building on its historical roots, the Monte Carlo method's transition into finance opened new avenues for risk assessment and predictive analysis. In financial markets, characterized by uncertainty and complex variables, this method offers a powerful tool for simulating a wide range of scenarios and assessing probabilities of different outcomes. By employing probabilistic models to predict price movements, the Monte Carlo method helps in creating more resilient and informed trading strategies. This approach is particularly valuable in options pricing, portfolio management, and risk assessment, where understanding the range of potential outcomes is crucial for making sound investment decisions. Our indicator utilizes this methodology, blending traditional financial analysis with advanced statistical techniques.
THE INDICATOR:
The Monte Carlo Future Moves (ChartPrime) indicator is designed to predict future price movements. It simulates various possible price paths, showing the likelihood of different outcomes. We have designed it to be simple to use and understand by displaying lines indicating the most likely bullish and bearish outcomes. The arrows point to these areas making it intuitive to understand. Also included is extreme price levels shown in blue and yellow. This is the most likely extreme range that the price will move to. The outcome distribution is there to show you the range of outcomes along with a visual representation of the possible future outcomes. To make things more user friendly we have also included a representation of this distribution as a background heatmap. The brighter the price level, the more likely the price will end at that level. Finally, we have also included a market bias indication on the side that shows you the general bullish/bearish probabilities.
HOW TO USE:
To use this indicator you want to first assess the market bias. From there you want to target the most likely polar outcome. You can use the range of outcomes to assess your risk and set a stop within a reasonable range of the desired target. By default the indicator projects 10 steps into the future, however this can be easily adjusted in the settings. Generally this indicator excels at mid-term estimations and may yield inconclusive results if the prediction period is too short or too long. You can change the granularity of the outcomes to give you a more or less detailed view of the future. That being said, a lower resolution can make the predictions less useful while a higher resolution can give you a less useful picture. If you decide to use a higher resolution we have included an option to smooth the final result. This is intended to reduce the uncertainty and noise in the predicted outcomes. It is advised to use the minimum level of smoothing possible as a high level of smoothing will greatly reduce the accuracy.
INPUT SECTION:
Derivative Source changes how the indicator sees the price movements. When you set this to Candle it will use the difference between the open and close of each candle. If set to Move, it will use the difference between closing prices. If you are in a market with gaps, you might want to use Candle as this will prevent the indicator from seeing gaps.
Number of Simulations is a crucial setting as it is the core of this indicator. This determines the number of simulations the indicator will use to get its final result. By default it is set to 1000 as we feel like that is around the minimum number of simulations required to get a reasonable output while maintaining stability. In tests the maximum number of simulations we have been able to consistently achieve is 2000.
Lookback is the number of historical candles to account for. A lookback that is too short will not have enough data to accurately assess the likelihood of a price movement, while a period that is too large can make the data less relevant. By default this is set to 1000 as we feel like this is a reasonable tradeoff between volume of data and relevance.
Steps Into Future is the prediction period. By default we have picked a period of 10 steps as this has a good balance between accuracy and usability. The more steps into the future you go, the more uncertain the future outcome will be.
Outcome Granularity controls the precision of the simulated outcomes. By default this is set to 40 as its a good balance between resolution and accuracy.
Outcome Smoothing allows you to smooth the outcome distribution. By default this is set to 0 as it is generally not needed for lower resolutions. Smoothing levels beyond 2 are not recommended as it will negatively impact the output.
Returns Granularity controls the level of definition in the collected price movements. This directly impacts indicator performance and is set to 50 by default because its a good balance between fidelity and usability. When this number is too small, the simulations will be less accurate while numbers too large will negatively impact the probabilities of the movements.
Drift is the trend component in the simulation. This adds the directionality of the simulations by biasing the movements in the current direction of the market. We have included both the standard formula for drift and linear regression. Both methods are well suited for simulating future price movements and have their own advantages. The drift period is set to 100 by default as its a good balance between current and historical directionality. You may want to increase or decrease this number depending on the current market conditions but it is advised to use a period that isn't too small. If your period is too small it can skew the outcomes too much resulting in poor performance. When this is set to 0 it will use the same period as your lookback.
Volatility Adjust , adjusts the simulation to include current volatility. This makes sure that the price movements in the simulation reflects the current market conditions better by making sure that each price move is at least a minimum size.
Returns Style allows you to pick between using percent moves and log returns. We have opted to make percent move the default as it is more intuitive for beginners however both settings yield similar results. Log returns can be less cpu intensive so it might be desirable for longer term predictions.
Precision adjusts the rounding of used when collecting the frequency of price movement sizes. By default this is set to 4 as its is fairly accurate without impacting performance too much. A larger number will make the indicator more precise but at the cost of cpu time. Precision levels that are too small can greatly reduce the accuracy of the simulation and even break the indicator all together.
Update Every Bar allows you to recalculate the prediction every bar and is there for you if you want to strictly use the market bias. It is not recommended to enable this feature but it is there for flexibility.
Side of Chart allows you to pick what side of the price action you want the visuals to be on. When its set to the right everything will be to the right of the starting point and when its set to Left it will position everything to the left of the starting point.
Move Visualization is there to give you an arrow to the most likely bullish and bearish moves. It is meant as a visual aid and visualization tool. The color of these arrows use the same colors as the distribution.
Most Likely Move is a horizontal line that indicates the most likely move. It is positioned in the same location as the Move Visualization.
Standard Deviation is horizontal lines at the extremities of the simulated price action. These represent the most likely range of the future outcomes. You can adjust the multiplier of the standard deviation but by default it is set to 2.
Most Likely Direction is a vertical bar that shows you the sum of the up and down probabilities. It is there to show you the bias of the outcomes and guide you in decision making.
Max Probability Zone is a horizontal line that highlights the location of the highest probability move. You can think of it almost like the POC in a volume distribution but in this case it is the "most likely" single outcome.
Outcome Distribution allows you to toggle the distribution on or off. This is the distribution of all of the simulated outcomes. You can toggle the scale width of the distribution to fit your visual style.
Distribution Text toggles the probability text inside of the distribution bars. When you have a large number for the outcome granularity this text may not be visible and you may want to disable this feature.
Background is a heatmap of the outcome distribution. This allows you to visualize the underlying distribution without the need for the distribution histogram. The brighter the color, the more likely the outcome is for that level. It can be useful for visualizing the range of possible outcomes.
Starting Line is simply a horizontal line indicating the starting point of the simulation. It just the opening price for the starting position.
Extend Lines allows you to extend the lines and background past the prediction period.
CONCLUSION:
With its intuitive visuals and flexible settings, the Monte Carlo Future Moves (ChartPrime) indicator is practice and easy to use. It brings clarity to price movement predictions, helping you to build confidence in your strategies. This indicator not only reflects the evolution of technical analysis but also touches on data-driven insights.
Enjoy
Institutions vs. Crypto Whales Spot BuyingBased on analysis from @tedtalksmacro, I have put together a similar tool that helps to visualise whether institutions (Coinbase and Deribit) or native crypto whales (Binance and Bitfinex) are leading the BTC spot buying.
This is plotted as the normalised relative difference (-1 and 1) between the average of Coinbase and Deribit spot price versus Binance and Bitfinex. If positive (i.e. green bar), institutions are trading at a premium; if negative (i.e. red bar), crypto whales are trading at a premium.
For example, if crypto whales are trading at a premium and price is increasing, then they are leading the buying relative to institutions. However, if whales are trading at a premium and price is decreasing, then it is likely institutions are selling off at a more rapid rate relative to the crypto whales buying pressure. This applies to the alternate scenario where institutions are trading at a premium to crypto whales.
In recent times, native crypto whales (largely Binance) drove the push from 40 to 48k, but then also marked the local top with a major sell off at this price. Institutions then took over buying at the most recent lows, driven largely by GBTC outflows slowing down and Blackrock daily inflows exceeding Grayscale outflows for the first time late last week.
Unbounded RSIIntroducing the concept of "Unbounded RSI".
Instead of indexing the average gain and average loss, over the time period of interest, we leave the average gain and loss unbounded. Instead we "bound" them by difference of each and smoothen out this difference in an envelope using exponential average. See code.
What this does to traditional RSI concept?
No concept of "overbought", "oversold"
No concept of "60-40", "70-30" bands and arguments over it
No concept of "Range Shifts"
...
How to use it?
I am generally a positional long trader. So I present my version. Of course, I expect each individual who decide to use this concept, to come up with their ideas, based on their style and temperament.
The points below, I apply on a Weekly Timeframe Chart.
Once, we see a long consolidation and price breakout, we should be able to see "Green" histogram bars. These appear, once we have the stock at least 20% up from the 52WL and the "Unbounded RSI" has turned positive. This can be a good time to "enter" into the scrip.
The height of the bars are significant, since they essentially show, that the "gap" between the avg. gain and avg. loss is widening, indicating momentum. Swing trading can thrive in these environments I guess.
Falling heights indicate that gaps to close, though, the "gap can still be green". This means, momentum is now falling. Swing traders and "quick buck makers", would ideally book profits here. If the color of the bars still remain "Green" it indicates that momentum has reduced but still the gains are "more" than loss on the timeperiod selected.
Once the histogram turns red, it means that the gain is now lower than loss. An increasing height underground, means this loss is widening. Generally, this will corelate with price action (not necessarily volume).
At this time, exits should be looked for, may be also check other factors/indicators to decide, but surely the momentum and the gain% over the timeperiod selected has now gone.
Note for Pine Coders:
The source code can easily be modified to develop this concept further.
For example:
Use different smoothing algorithms
Remove 52WL condition and introduce new additional conditions
Instead of price change of the stock for gain/loss calculations, we use the concept of Relative Strength (RS, not RSI) and measuere the gain/loss based on a benchmark index . I intend to work on this concept, soon.
You shall see a variable "unboundedRSI" which is actually a ratio of the Avg. Gain / Avg. Loss. This ratio is not plotted. It is kept there, for future use.
Many more
Rocket RSI from John EhlersWhat is Rocket RSI
Welles Wilder's original description of the relative strength index (RSI) in his 1978 New Concepts In Technical Trading Systems specified a calculation period of 14 days. This requirement led him on a 40-year quest to find the right length of data for calculating indicators and trading strategy rules. Many technicians touched on RSI and explained its applications. In this study we will obtain a more flexible and easier to interpret formulation (of the indicator). We will also estimate the algorithm to properly handle a statistical approach to technical analysis. Start with RSI Here is the original definition of the RSI indicator:
RSI = 100 - 100 / (1 + RS)
RS = Average gain from downtime over the specified time period / Average loss from downtime over the specified time period My first observation is that the factor of 100 is insignificant. Second, there is no need for averages because we take the ratio of closes (CU) to closes (CD) and if we accumulate the wins and losses independently, the averages emerge. Therefore We will only accumulate CU and CD. He can then write the RSI equation as:
RSI = 1 – 1 / (1 + CU / CD)
If he use a little algebra to put everything on a common denominator on the right side of the equation, the indicator equation becomes:
RSI = CU / (CU + CD)
In this formulation, if CU accumulation is zero, the RSI value is zero, and if CD accumulation is zero, the RSI value is 1. If you reduce the price action to its primitive level as a sine wave, it is easy to see that this RSI only has CU going from valley to peak and only CD going from peak to valley. This RSI follows the shape of the sine wave between these two limits. However, the sine wave oscillates between -1 and +1, not between 0 and +1. If we multiply the above equation by 2 and then subtract 1, we can make the RSI have the same swing limits as the sine wave. the product is as follows:
RSI = 2*CU / (CU + CD) – 1
Again, using a little algebra to put the right-hand side of the equation on a common denominator, the equation develops like this:
MyRSI = (CU – CD) / (CU + CD)
Again, the vertical scale of the RocketRSI indicator is in standard deviations. For example, -2 means it is two standard deviations below the mean. Since exceeding two standard deviations in the Gaussian probability distribution occurs in only 2.4% of the results
Because we are using the momentum of the dominant cycle period, the spike where the indicator falls below -2 provides a surgically precise timing signal to enter a long position. Similarly, exceeding the +2 standard deviation level is a timing signal to exit a long position or return to a short position. Therefore using the RocketRSI indicator is relatively intuitive. The only concern is whether a dominant cycle is present in the data, setting the indicator to half the dominant cycle period, and whether smoothing causes lag.
DETERMINING CYCLICAL TURNING POINTS
When you insert the chart you see an example of what the RocketRSI indicator looks like. Here you see that RocketRSI precisely displays cyclical turning points as statistical events. Cator can be applied. I used RS Length 10 because according to Ehlers, stocks and stock indexes usually have a more or less monthly cycle (about 20 bars). A cursory examination of Figure 2 shows that negative increases in the indicator correspond to excellent buying opportunities, while positive increases correspond to excellent selling opportunities. Exceeding +/- 2 on the indicator scale indicates that a cyclical reversal is a high probability event.
Entry Buy/Sell with Adjustable EMA-WMA Difference by Brian LeThe "Entry Buy/Sell with RSI-WMA Conditions" script, crafted by Brian Le, is a specialized TradingView indicator designed for traders who seek to capitalize on specific RSI (Relative Strength Index) crossover events relative to key moving averages, specifically the EMA (Exponential Moving Average) and WMA (Weighted Moving Average). This tool is particularly useful for identifying potential entry points in a trading strategy, marked by distinctive visual signals on the chart.
Key Features:
Customizable Timeframes and Lengths: Users can adjust the lengths of the RSI, EMA, and WMA, making the indicator versatile across various timeframes and trading styles.
RSI Crossover Signals: The script generates signals based on the RSI crossing over the EMA. A green dot signifies a potential buy signal when the RSI crosses above the EMA, while a red dot indicates a potential sell signal when the RSI crosses below the EMA.
Special Conditions Based on WMA: The indicator enhances decision-making by including the WMA in its analysis. Buy signals (green dots) are only shown when the RSI is below the WMA, and sell signals (red dots) are displayed when the RSI is above the WMA. This additional condition helps in filtering out less probable trades.
EMA and WMA Difference Filter: A unique feature of this script is the ability to set a minimum point difference between the EMA and WMA, adding another layer of specificity to the generated signals.
RSI Threshold Filters: The indicator includes optional filters to show signals only when the RSI is above 40 (for buy signals) or below 60 (for sell signals), aiding in avoiding overbought or oversold conditions.
Enhanced Visuals for Significant Events: For more prominent trading events, such as the RSI crossing both the EMA and WMA within a single candle, the script plots larger symbols (triangles), making these significant events stand out on the chart.
Live Economic Calendar by toodegrees⚠️ PLEASE READ ⚠️
Although this indicator is accurate in showcasing live and upcoming News Events, checking the original sources is always suggested. This indicator aims to save Time, but due to limitations it may not be 100% correct 100% of the Time.
Description:
The Live Economic Calendar indicator seamlessly integrates with external news sources to provide real-Time, upcoming, and past financial news directly on your Tradingview chart.
By having a clear understanding of when news are planned to be released, as well as their respective impact, analysts can prepare their weeks and days in advance. These injections of volatility can be harnessed by analysts to support their thesis, or may want to be avoided to ensure higher probability market conditions. Fundamentals and news releases transcend the boundaries of technical analysis, as their effects are difficult to predict or estimate.
Designed for both novice and experienced traders, the Live Economic Calendar indicator enhances your analysis by keeping you informed of the latest and upcoming market-moving news.
This is achieved with three different visual components:
News Table: A dedicated News Table shows the Day of the Week, Date, Time of the Day, Currency, Expected Impact, and News Name for each event (in chronological order). Once a news event has occurred, or the day is over, it will be greyed out – helping to focus on the next upcoming news events.
News Lines: Vertical lines plotted in the future help analysts monitor upcoming news events; vertical lines in the past help analysts spot and backtest previous news events that already occurred.
News Labels: Color-coded news labels will plot once the news events have occurred. This not only gives analysts a minimalistic visual cue, but also retains the information of which news were released at that Time in their tooltips.
Forex Factory Calendar News Feed:
The Forex Factory Data Feed includes news events from January 2007 to the present. The data is updated daily. Please see the Technical Description below for more information.
Forex Factory provides news for all major currencies and markets:
Australia (AUD)
Canada (CAD)
Switzerland (CHF)
China (CNY)
European Union (EUR)
United Kingdom (GBP)
Japan (JPY)
New Zealand (NZD)
United States of America (USD)
Further, there are four types of news impact, defined by respective color-coding which is retained to avoid confusion:
⚪ Holiday
🟡 Low Impact
🟠 Medium Impact
🔴 High Impact
News' Time of the day data is in 24H format, and 'All Day' news are marked at Daily candle open.
⚠️ Original Release Notes ⚠️
The original release of this indicator supports the Forex Factory News Calendar in EST (New York Time). Future updates will include multiple news sources, as well as supporting different Timezones.
Given Data limitations, the Daily chart can omit some data due to the market being close on some days. This will be fixed in the future once an efficient solution is implemented.
Key Features:
Impact-Based News Filtering: Filter news items based on their expected impact (holiday, low, medium, high) to focus on the most market-critical information.
Symbol-Specific News: Automatically filter news to display only what's relevant to the currency pair or trading symbol you are analyzing.
Custom Currency News: Want to see more than the news relevant to the current symbol? Toggle which markets' news you are most interested in.
Chart History: Keep your charts clean by displaying only the drawings of Today's news, or This Week's news.
Custom Lookback: Look further back in Time by choosing a custom number of Lookback Days, allowing you to backtest and keep in mind salient news events from the past.
Line and Label Customization: Both the News Lines and Labels are highly customizable (except the colors), allowing you to make the indicator yours.
Table History: Choose whether to focus on Today's news only, or the news for This Week.
Table Customization: The table colors and position are highly customizable, allowing you to make it fit your visual preference and your layouts' aesthetic.
"Wondering how it's done? 👇"
Technical Description:
This script utilizes Pine Seeds , a service integrated with TradingView for importing custom data. This stunning feature enables users to upload and access custom End Of Day (EOD) data, which can be updated as frequently as five times daily.
This data can be imported in one of two formats:
Single Value: integer or float
Candle Data: open, high, low, close, volume
Upon encountering Pine Seeds, I recognized its potential for importing financial news events. Given that Forex Factory is a primary source of financial news in my personal analysis, integrating it into my layouts seemed like an exciting opportunity. This integration is expected to provide significant value to users looking to integrate additional news feeds all in one place.
Development Challenges:
Format Limitations: News events must be converted into numerical values for import, due to the required Pine Seeds format.
Amount of Data: With all currencies considered, the system may encounter over 40 news events in a single day.
Data Availability: The reliance on End Of Day (EOD) data means that information for the current day is displayed with a delay, and accessing future data is not possible.
Solutions:
Encoding: Each news event is encoded as an integer in the "DCHHMMITYP" format.
D = day of the week
C = currency
HHMM = Time of day
I = news impact
TYP = event ID (see Event Library A and Event Library B )
To ensure data assignment for each candle across the open, high, low, close, and volume series, the value "999" is used as a placeholder:
Importing: Utilizing the encoding system, up to five news events per day can be imported for a singular Pine Seeds custom symbol.
By creating multiple custom Pine Seeds Symbols, efficient imports of a larger number of events is then easily achievable. Nine unique symbols have been established, accommodating up to 45 news events per day.
These symbols are searchable, and accessible as " TOODEGREES_FOREX_FACTORY_SLOT_N " where N ranges from 1 to 9.
The Pine Seeds data feed appears as follows:
Uploading Schedule: To ensure analysts are informed about current and upcoming week's news, events are uploaded one week in advance.
This approach is vital for preparing for potential market impacts across various asset classes and currencies, allowing visibility of an entire week's news ahead of Time.
Data Scraping:
Unfortunately Forex Factory doesn't offer an API to fetch their news feed.
Hence an ad hoc python scraper was developed to read and save news events from January 2007 till the present leveraging Selenium. The scraper algorithm is part of a larger script responsible for scraping data, formatting data, and creating all necessary datasets.
The pseudo-code for the python script is as follows:
Read and save news event data on Forex Factory
Format day of the week, currency, Time of the day, and impact data for the Encoding
Encode and save News Event IDs – Event ID dataset is created
Format news data for Pine Seeds (roll-back date by one week, assign news to open, high, low, close, and volume values)
Create Pine Seeds Datasets
This script is ran everyday at Futures market close (16:00 EST) to update the last part of the each dataset, ensuring accuracy, and taking into account last-minute news additions or revisions.
Once the data (next week's news) is imported by the Live Economic Calendar indicator, it's immediately decoded by leveraging the Forex Factory Decoding Library , and saved into an array.
Upon a new week open, the decoded data is used to plot news events on the chart and in the news table.
See the inner workings of these processes in the Forex Factory Utility Library .
Although these libraries are specifically built for this indicator, feel free to use them to create your own scripts. Looking forward to see what the Pine Script community comes up with!
Thank you for making it this far. Enjoy!
Ciao,
toodegrees
This tool is available ONLY on the TradingView platform.
Terms and Conditions
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Altcoin ManagerThe Altcoin Manager is a comprehensive script for identifying the current altcoin narrative by tracking and analyzing of a wide array of altcoins across various blockchain layers and categories, such as DeFi, GameFi, AI, and Meme coins. Ideal for traders looking to get a broad yet detailed view of the altcoin market, covering various sectors and chains.
The Key Features:
Versatile Asset Tracking:
Tracks 40 different cryptocurrencies (as of publishing) across different categories, allowing for a diversified and detailed analysis of the altcoin market.
Customizable Assets and Category Analysis:
Select 20 of your own coins across 4 different categories such as DeFi, GameFi, AI, and Meme coins as well as specifying their individual chains.
Dynamic Layer and Chain Analysis:
Includes options to plot and analyze specific blockchain layers and chains such as Ethereum Chain, Solana Chain, BNB Smart Chain, Arbitrum Chain, and Polygon Chain. The script associates various assets with specific blockchains, providing a clearer picture of how different segments of the altcoin market are performing.
Cumulative and Per-Candle Change:
Switch between viewing the total cumulative change since a set start date or the per-candle change, offering flexibility in analyzing price movements over different timeframes.
Denomination Adjustment:
Includes a functionality to denominate asset prices in other currencies or crypto such as BTC, allowing for a more tailored financial analysis according to your preference.
Moving Averages for Categories and Chains:
Calculates and plots moving averages for each category and chain, aiding in the identification of trends over the selected moving average length.
How do I use it?
This script is not used with any particular chart. Instead, assign it it's own tab and layout.
For a clearer analysis, use multiple different panels to track Categories and Chains separately, both Cumulative for a longer term analysis and Per-Candle to find ongoing breakouts and changes in trend.
You can either use the pre-selected altcoins to represent the market, or you can select your own.
The Layer 1 and Layer 2 are not customizable but consists of 15 popular Layer 1 incl Bitcoin, Ethereum, Solana etc. Layer 2 consists of 5 popular Layer 2.
Megabar Breakout (Range & Volume & RSI)Hey there,
This strategy is based on the idea that certain events lead to what are called Megabars. Megabars are bars that have a very large range and volume. I wanted to verify whether these bars indicate the start of a trend and whether one should follow the trend.
Summary of the Code:
The code is based on three indicators: the range of the bar, the volume of the bar, and the RSI. When certain values of these indicators are met, a Megabar is identified. The direction of the Megabar indicates the direction in which we should trade.
Why do I combine these indicators?
I want to identify special bars that have the potential to mark the beginning of a breakout. Therefore, a bar needs to exhibit high volume, have a large range (huge price movement), and we also use the Relative Strength Index (RSI) to assess potential momentum. Only if all three criteria are met within one candle, do we use this as an identifier for a megabar.
Explanation of Drawings on the Chart:
As you can see, there is a green background on my chart. The green background symbolizes the time when I'm entering a trade. Only if a Megabar happens during that time, I'm ready to enter a trade. The time is between 6 AM and 4 PM CET. It's just because I prefer that time. Also, the strategy draws an error every time a Megabar happens based on VOL and Range only (not on the RSI). That makes it pretty easy to go through your chart and check the biggest bars manually. You can activate or deactivate these settings via the input data of the strategy.
When Do We Enter a Trade?
We wait for a Megabar to happen during our trading session. If the Megabar is bullish, we open a LONG trade at the opening price of the next candle. If the Megabar is bearish, we open a SHORT trade at the opening price of the next candle.
Where Do We Put Our Take Profit & Stop Loss?
The default setting is TP = 40 Pips and SL = 30 Pips. In that case, we are always trading with a risk-reward ratio of 1.33 by default. You can easily change these settings via the input data of the strategy.
Strategy Results
The criteria for Megabars were chosen by me in a way that makes Megabars something special. They are not intended to occur too frequently, as the fundamental idea of this strategy would otherwise not hold. This results in only 37 closed trades within the last 12 months. If you change the criterias for a megabar to a milder one, you will create more Megabars and therefore more trades. It's up to you. I have adapted this strategy to the 30-minute chart of the EURUSD. In the evaluation, we consider a period of 12 months, which I believe is sufficient.
My default settings for the indicators look like this:
Avg Length Vol 20
Avg Multiplier Vol 3
Avg Length Range 20
Avg Multiplier Range 4
Value SMA RSI for Long Trades 50
Value SMA RSI for Short Trades 70
IMPORTANT: The current performance overview does not display the results of these settings. Please change the settings to my default ones so that you can see how I use this strategy.
I do not recommend trading this strategy without further testing. The script is meant to reflect a basic idea and be used as a tool to identify Megabars. I have made this strategy completely public so that it can be further developed. One can take this framework and test it on different timeframes and different markets.
