Simplified MA Crossover indicatorThis is my first script, it is really simple logic and you probably saw something similar before. Is a crossover indicator between 2 Moving Average, one fast MA and the second slow MA.
Inputs you can adjust:
- 8 different source of MA's
- lenght of the MA's
- 7 different types of MA's ("EMA", "SMA", "RMA", "WMA", "DEMA", "TEMA", "HMA")
- 3 smoothing level of the fast MA
- plotting fast MA into the chart
- plotting crossover triangle shapes
I really enjoed the creation of this simple concept indicator, maybe not the fastest because of his nature but I liked work on it. I am sure is a good base to improve, study and try new idea.
חפש סקריפטים עבור "MA Cross"
Forex Multi-Factor IndicatorMoving Averages (MA):
Two moving averages are plotted on the chart: a fast MA (blue line) and a slow MA (red line).
The fast MA is calculated using a shorter period (10 periods by default), while the slow MA is calculated using a longer period (30 periods by default).
Moving averages help identify trends by smoothing out price fluctuations. When the fast MA crosses above the slow MA, it suggests a bullish trend, and when the fast MA crosses below the slow MA, it suggests a bearish trend.
Relative Strength Index (RSI):
The RSI indicator (orange line) is plotted on a separate axis.
RSI measures the speed and change of price movements and oscillates between 0 and 100.
RSI values above 70 are considered overbought, indicating a potential reversal to the downside, while RSI values below 30 are considered oversold, indicating a potential reversal to the upside.
Volume Moving Average (Volume MA):
The volume moving average (purple line) is plotted on the same axis as the volume.
The volume moving average is calculated over a specified period (20 periods by default).
Volume analysis provides insights into the strength of price movements. When the volume increases along with price movements, it suggests strong conviction from traders.
Buy and Sell Signals:
Buy signals (green triangle) are generated when all of the following conditions are met:
The fast MA crosses above the slow MA (indicating a bullish trend).
The RSI is below the oversold level (indicating potential upward momentum).
The current price is above the fast MA, and the volume is higher than the volume MA (indicating positive volume trend).
Sell signals (red triangle) are generated when all of the following conditions are met:
The fast MA crosses below the slow MA (indicating a bearish trend).
The RSI is above the overbought level (indicating potential downward momentum).
The current price is below the fast MA, and the volume is lower than the volume MA (indicating negative volume trend).
Overall, this multi-factor indicator combines moving averages, RSI, and volume analysis to identify potential buying and selling opportunities in the Forex market. Traders can use the signals generated by this indicator as part of their trading strategy, but it's important to consider other factors such as risk management and market conditions before making trading decisions
QuantBot 3:Ultimate MA CrossoverTHIS IS A SAMPLE CODE TO AUTOMATE WITH QUANTBOT
The moving average strategy is a popular and widely used technique in financial analysis and trading. It involves the calculation and analysis of moving averages, which are mathematical indicators that smooth out price data over a specified period. This strategy is primarily applied in the context of stock trading, but it can be used for other financial instruments as well.
The concept behind the moving average strategy is to identify trends and potential entry or exit points in the market. By calculating and analyzing moving averages of different timeframes, traders aim to capture the overall direction of the price movement and filter out short-term fluctuations or noise.
To implement the moving average strategy, a trader typically selects two or more moving averages with different periods. The most common combinations include the 50-day and 200-day moving averages. The shorter-term moving average is considered more reactive to price changes, while the longer-term moving average provides a smoother trend line. When the shorter-term moving average crosses above the longer-term moving average, it generates a buy signal, indicating a potential upward trend. Conversely, when the shorter-term moving average crosses below the longer-term moving average, it generates a sell signal, indicating a potential downward trend.
Traders can use various variations of the moving average strategy based on their trading objectives and risk tolerance. For instance, some traders may prefer to use exponential moving averages (EMAs) instead of simple moving averages (SMAs) to give more weight to recent price data. Others may incorporate additional indicators or filters to confirm signals or avoid false signals.
One of the strengths of the moving average strategy is its simplicity and ease of interpretation. It provides a clear visual representation of the trend direction and potential entry or exit points. However, it's important to note that the moving average strategy is a lagging indicator, meaning that it relies on past price data. Therefore, it may not always accurately predict future market movements or capture sudden reversals.
Like any trading strategy, the moving average strategy is not foolproof and carries risks. It is crucial for traders to conduct thorough analysis, consider other relevant factors, and manage their risk through proper position sizing and risk management techniques. Additionally, it's important to adapt the strategy to specific market conditions and combine it with other complementary strategies or indicators for improved decision-making.
Overall, the moving average strategy serves as a valuable tool for traders to identify and follow trends in financial markets, aiding in the analysis of price movements and potential trading opportunities.
TCG AI ToolsIntroduction:
This script is a result of an AI recommended created trading strategy that is design to offer new traders’ easy access to trend information and oversold/overbought conditions. Here we have combined commonly used indicators into a single unique visualization that quickly identifies trend changes and both RSI and Bollinger Band based overbought and oversold conditions, and allows all three indicators to be used simultaneously while taking up limited space on the chart.
The value in combining these three indicators is found in the harmony and clarity they are able to provide new traders. Trend changes can be difficult to identify based solely on candlestick analysis, therefore using the moving averages allows the trader to simplify the process of establishing bullish or bearish trends. Once a trend is established it can be very attractive for new traders to establish entries at the wrong time. For this reason, it is useful to include two different overbought and oversold indicators. The Bollinger Bands are included as one of the methods for establishing extreme prices that often result in reversals, and the relative strength index is similarly utilized as a second means to warn traders of extreme conditions.
Using the Indicator
1. MA10 MA20 Trend Indicator
The large red/green horizontal bar located at the 0 line on the X axis is the trend direction indicator. This visualization compares the 10 and 20 period moving averages to establish trend. When the MA10 is above the MA20 the trend is considered bullish and supportive of long positions and indicates such by changing the color of the horizontal bar to green. When the MA10 is below MA20 the trend is considered bearish and indicates such by changing the color of the horizontal bar to red. Color changes occur at the moment of a MA crossover/under.
2. Relative Strength Index.
The vertical red and green bars that make up the background of the panel indicate conditions wherein the RSI is considered overbought or oversold. When the vertical bar is red it indicates that RSI is below 30 suggesting that current conditions are oversold and supportive of long entries. When the vertical bar is green it suggests that the current conditions are overbought and are supportive of short entries.
3. Bollinger Band Extremes
Within the horizontal red/green bar there are red and green arrows. These arrows represent periods where the price is exceeding the upper or lower Bollinger bands and indicate overbought/oversold conditions. When a green arrow appears, it indicates that the price has crossed below the lower BB and is supportive of long entries. If a red arrow appears it indicates that the price has crossed above the upper Bollinger band and conditions are supportive of short entries.
RSI with Slow and Fast MA Crossing Strategy (by Coinrule)This strategy utilises 3 different conditions that have to be met to buy and 1 condition to sell. This strategy works best on the ETH/USDT pair on the 4-hour timescale.
In order for the strategy to enter the trade, it must meet all of the conditions listed below:
ENTRY
RSI increases by 5
RSI is lower than 70
MA9 crosses above MA50
To exit a trade, the below condition must be met:
EXIT
MA50 crosses above MA9
This strategy works well on LINK/USDT on the 1-day timeframe, MIOTA/USDT on the 2-hour timeframe, BTC/USDT on the 4-hour timeframe, and BEST/USDT on the 1-day timeframe (and 4h).
Back-tested from 1 January 2020.
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.
RSI + rCalcThis is a modification of the TradingView RSI.
I have added HMA and ALMA options to the MA settings and also the option for a colour change on RSI cross.
A reverse calc has also been added. This will display the MA cross/Overbought/Oversold price predictions. There is also the option to display an entered RSI or Price for a prediction display.
All colours and modifications can be turned on/off.
Enjoy! :)
MA VisualizerThe MA Visualizer is made up of 5 Moving Averages (MA)
All MA change color when the price closes above or below the MA line.
The background between the MA line and price will also change color, this creates the Visualizer.
When two or more MA are selected the two visualizer's will combine and create a gradient effect.
Each MA can be adjusted with 6 source selection's to choose from (SMA , EMA , WMA , HMA , RMA , WVMA).
The Visualizer can be turned off while leaving the MA lines turned on and vice versa.
Their is also a MA Cross indicator built-in.
Portfolio Backtester Engine█ OVERVIEW
Portfolio Backtester Engine (PBTE). This tool will allow you to backtest strategies across multiple securities at once. Allowing you to easier understand if your strategy is robust. If you are familiar with the PineCoders backtesting engine , then you will find this indicator pleasant to work with as it is an adaptation based on that work. Much of the functionality has been kept the same, or enhanced, with some minor adjustments I made on the account of creating a more subjectively intuitive tool.
█ HISTORY
The original purpose of the backtesting engine (`BTE`) was to bridge the gap between strategies and studies . Previously, strategies did not contain the ability to send alerts, but were necessary for backtesting. Studies on the other hand were necessary for sending alerts, but could not provide backtesting results . Often, traders would have to manage two separate Pine scripts to take advantage of each feature, this was less than ideal.
The `BTE` published by PineCoders offered a solution to this issue by generating backtesting results under the context of a study(). This allowed traders to backtest their strategy and simultaneously generate alerts for automated trading, thus eliminating the need for a separate strategy() script (though, even converting the engine to a strategy was made simple by the PineCoders!).
Fast forward a couple years and PineScript evolved beyond these issues and alerts were introduced into strategies. The BTE was not quite as necessary anymore, but is still extremely useful as it contains extra features and data not found under the strategy() context. Below is an excerpt of features contained by the BTE:
"""
More than `40` built-in strategies,
Customizable components,
Coupling with your own external indicator,
Simple conversion from Study to Strategy modes,
Post-Exit analysis to search for alternate trade outcomes,
Use of the Data Window to show detailed bar by bar trade information and global statistics, including some not provided by TV backtesting,
Plotting of reminders and generation of alerts on in-trade events.
"""
Before I go any further, I want to be clear that the BTE is STILL a good tool and it is STILL very useful. The Portfolio Backtesting Engine I am introducing is only a tangental advancement and not to be confused as a replacement, this tool would not have been possible without the `BTE`.
█ THE PROBLEM
Most strategies built in Pine are limited by one thing. Data. Backtesting should be a rigorous process and researchers should examine the performance of their strategy across all market regimes; that includes, bullish and bearish markets, ranging markets, low volatility and high volatility. Depending on your TV subscription The Pine Engine is limited to 5k-20k historical bars available for backtesting, which can often leave the strategy results wanting. As a general rule of thumb, strategies should be tested across a quantity of historical bars which will allow for at least 100 trades. In many cases, the lack of historical bars available for backtesting and frequency of the strategy signals produces less than 100 trades, rendering your strategy results inconclusive.
█ THE SOLUTION
In order to be confident that we have a robust strategy we must test it across all market regimes and we must have over 100 trades. To do this effectively, researchers can use the Portfolio Backtesting Engine (PBTE).
By testing a strategy across a carefully selected portfolio of securities, researchers can now gather 5k-20k historical bars per security! Currently, the PTBE allows up to 5 securities, which amounts to 25k-100k historical bars.
█ HOW TO USE
1 — Add the indicator to your chart.
• Confirm inputs. These will be the most important initial values which you can change later by clicking the gear icon ⚙ and opening up the settings of the indicator.
2 — Select a portfolio.
• You will want to spend some time carefully selecting a portfolio of securities.
• Each security should be uncorrelated.
• The entire portfolio should contain a mix of different market regimes.
You should understand that strategies generally take advantage of one particular type of market regime. (trending, ranging, low/high volatility)
For example, the default RSI strategy is typically advantageous during ranging markets, whereas a typical moving average crossover strategy is advantageous in trending markets.
If you were to use the standard RSI strategy during a trending market, you might be selling when you should be buying.
Similarily, if you use an SMA crossover during a ranging market, you will find that the MA's may produce many false signals.
Even if you build a strategy that is designed to be used only in a trending market, it is still best to select a portfolio of all market regimes
as you will be able to test how your strategy will perform when the market does something unexpected.
3 — Test a built-in strategy or add your own.
• Navigate to gear icon ⚙ (settings) of strategy.
• Choose your options.
• Select a Main Entry Strat and Alternate Entry Strat .
• If you want to add your own strategy, you will need to modify the source code and follow the built-in example.
• You will only need to generate (buy 1 / sell -1/ neutral 0) signals.
• Select a Filter , by default these are all off.
• Select an Entry Stop - This will be your stop loss placed at the trade entry.
• Select Pyamiding - This will allow you to stack positions. By default this is off.
• Select Hard Exits - You can also think of these as Take Profits.
• Let the strategy run and take note of the display tables results.
• Portfolio - Shows each security.
• The strategy runs on each asset in your portfolio.
• The initial capital is equally distributed across each security.
So if you have 5 securities and a starting capital of 100,000$ then each security will run the strategy starting with 20,000$
The total row will aggregate the results on a bar by bar basis showing the total results of your initial capital.
• Net Profit (NP) - Shows profitability.
• Number of Trades (#T) - Shows # of trades taken during backtesting period.
• Typically will want to see this number greater than 100 on the "Total" row.
• Average Trade Length (ATL) - Shows average # of days in a trade.
• Maximum Drawdown (MD ) - Max peak-to-valley equity drawdown during backtesting period.
• This number defines the minimum amount of capital required to trade the system.
• Typically, this shouldn’t be lower than 34% and we will want to allow for at least 50% beyond this number.
• Maximum Loss (ML) - Shows largest loss experienced on a per-trade basis.
• Normally, don’t want to exceed more than 1-2 % of equity.
• Maximum Drawdown Duration (MDD) - The longest duration of a drawdown in equity prior to a new equity peak.
• This number is important to help us psychologically understand how long we can expect to wait for a new peak in account equity.
• Maximum Consecutive Losses (MCL) - The max consecutive losses endured throughout the backtesting period.
• Another important metric for trader psychology, this will help you understand how many losses you should be prepared to handle.
• Profit to Maximum Drawdown (P:MD) - A ratio for the average profit to the maximum drawdown.
• The higher the ratio is, the better. Large profits and small losses contribute to a good PMD.
• This metric allows us to examine the profit with respect to risk.
• Profit Loss Ratio (P:L) - Average profit over the average loss.
• Typically this number should be higher in trend following systems.
• Mean reversion systems show lower values, but compensate with a better win %.
• Percent Winners (% W) - The percentage of winning trades.
• Trend systems will usually have lower win percentages, since statistically the market is only trending roughly 30% of the time.
• Mean reversion systems typically should have a high % W.
• Time Percentage (Time %) - The amount of time that the system has an open position.
• The more time you are in the market, the more you are exposed to market risk, not to mention you could be using that money for something else right?
• Return on Investment (ROI) - Your Net Profit over your initial investment, represented as a percentage.
• You want this number to be positive and high.
• Open Profit (OP) - If the strategy has any open positions, the floating value will be represented here.
• Trading Days (TD) - An important metric showing how many days the strategy was active.
• This is good to know and will be valuable in understanding how long you will need to run this strategy in order to achieve results.
█ FEATURES
These are additional features that extend the original `BTE` features.
- Portfolio backtesting.
- Color coded performance results.
- Circuit Breakers that will stop trading.
- Position reversals on exit. (Simulating the function of always in the market. Similar to strategy.entry functionality)
- Whipsaw Filter
- Moving Average Filter
- Minimum Change Filter
- % Gain Equity Exit
- Popular strategies, (MACD, MA cross, supertrend)
Below are features that were excluded from the original `BTE`
- 2 stage in-trade stops with kick-in rules (This was a subjective decision to remove. I found it to be complex and thwarted my use of the `BTE` for some time.)
- Simple conversion from Study to Strategy modes. (Not possible with multiple securities)
- Coupling with your own external indicator (Not really practical to use with multiple securities, but could be used if signals were generated based on some indicator which was not based on the current chart)
- Use of the Data Window to show detailed bar by bar trade information and global statistics.
- Post Exit Analysis.
- Plotting of reminders and generation of alerts on in-trade events.
- Alerts (These may be added in the future by request when I find the time.)
█ THANKS
The whole PineCoders team for all their shared knowledge and original publication of the BTE and Richard Weismann for his ideas on building robust strategies.
═════════════════════════════════════════════════════════════════════════
TRADE WAR ZONESAbout the Indicator:
This indicator is includes moving average ribbons, signal line, unique price action and support and resistance. I will explain a bit about everything.
Moving average ribbons:
We take 2 inputs from user. One is the length of minimum moving average line and other is length of maximum moving average line. We plot total 8 ema in between these 2 lengths, with equal distribution. User can control the min and max length but he cannot change its color or shade.
Signal Line:
Here different combination of multiple ema’s are used. And its outcome is this signal line. This signal line color tells you the strength of the trend. Darker the color, higher the trend. When the trend changes, color also changes slowly from green to red or vice versa. This signal line is used to identify the trend and its momentum. We take “EMA length” as a input from user. This input is used to calculate signal lines.
Price action:
A Unique price action method is used here , to identify the price momentum. If it indicates the price momentum to be upside then whole candle color will become blue, if it indicates down then candle color becomes red and if it indicates sideways then color becomes black. We don’t take anything as input here. This price action works in any timeframe.
Support and resistance:
We take “Number of candles on left” and “number of candles on right” as input. We take highs and lows of n candle to left and n candle to right. And plot dotter lines. All highs are blue colored dotted line and lows are red colored dotted line. When high or low is broken, a new dotted line starts forming. This helps you to find higher highs and lower lows. And these lines work as support and resistance.
Apart from this you can find green and red colored arrows:
-Whenever signal line crosses above Slow ema , a dark green color arrow below candle is formed
--Whenever signal line crosses below Slow ema , a dark red color arrow above candle is formed
--When ema of (least length MA) crosses above ema of (max length MA) , a light green color arrow below candle is formed
--When ema of (least length MA) crosses below ema of (max length MA) , a light red color above below candle is formed
% Sensitivity MA Cross [racer8]This is my third published indicator on % Sensitivity MA, if you're not familiar with it, go check out my first one.
This time its a cross between 2 % Sensitivity MAs.
Moving Average CrossNote: This is just an idea, I did not test this for trading.
MA Cross normally uses close as source in the moving averages, this script uses highs and lows as source.
In an uptrend you will see the 20 period high EMA and 50 period low EMA, once they cross, the indicator will switch to 20 period low EMA and 50 period high EMA. This gives it way less fake crosses as you see in the image on BTC.
As i said above, this is just an idea. If you change the settings, they might not cross at all.. so do your own testing.
Hope this code can help someone.
MultiType Shifting Predictive Moving Averages (MA) CrossoverJust 2 Moving Averages with adjustable settings and shifting capability, plus signals and predicting continuations.
At the time of publish these different types of MAs are supported:
- SMA (Simple)
- EMA (Exponential)
- DEMA (Double Exponential)
- TEMA (Triple Exponential)
- RMA (Adjusted Exponential)
- WMA (Weighted)
- VWMA (Volume Weighted)
- SWMA (Symmetrically Weighted)
- HMA (Hull)
I'm looking forward to any idea about filtering the signals. Thanks.
SW System - EMAs - Pivots v2//=========================================================
// Indicator Name: SW System - Traditional Pivots and MA cross alerts - Plus Psychological Sup/Res
// Type: Main panel
// Version: 2
// Description: MA cross alerts - Plus Psychological Sup/Res
// Traditional Pivots in any time frame
// Author: Sergio Waldoke (Argentina)
// First Release: June 23rd, 2019
// Last Release: June 27 th, 2020
//
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © galileogalilei1 (Sergio Waldoke)
//==========================================================
Set of tendence and Support/Resistance with Pivots and psychological S/R in main prices. Four moving averages are provide which may be chosen between EMA or simple Moving Average.
Some alerts in crosses are provide.
Enjoy!
Hull 2xPlots 2 Hull MA's, 1 Fast and 1 Slow
Can Paint Bars according to Hull MA Cross
Buy / Sell Alerts for MA Crossing
Fast-Slow MA Cross on custom timeframe (with alerts)A simple script for tracking your moving average crossing with an option for a fixed time frame and a 3 additional MAs for reference.
TN MA Cross Potential entry when the MA 5 crosses the MA 13 on an uptrend. This indicator is not meant for a you to buy and sell. It is a way to see if your fav coins are heading in an uptrend.
Bitazu MA 5,10Displays 5,10 MAs on a single indicator.
Useful for Crypto trading and reduced the number of indicators needed to view multiple EMAs
When shorter MA crosses over the longer it's a good sign of Bullish/Bearish reversal.
This sentiment is more true at longer timeframes, such as daily candles, as the trend has more momentum.
Bitazu MA 10,20Displays 10, 20 MAs on a single indicator.
Useful for Crypto trading and reduced the number of indicators needed to view multiple MAs
When shorter MA crosses over the longer it's a good sign of Bullish/Bearish reversal.
This sentiment is more true at longer timeframes, such as daily candles, as the trend has more momentum.
Exponential/Simple Moving Average Ribbon 12Due to popular demand (one person asked) this is an updated version of my EMA 12 indicator.
This indicator will show up to twelve moving averages at a time in a single indicator. Or, to put it another way, a moving average ribbon.
You can turn individual MAs off or on at your discretion, to show from none to twelve at a time, to better visualize support and resistance areas off of MAs as well as MA crossings.
You can also, of course, adjust the length/period of each of the MAs at your discretion.
In this version, most significantly, you can select either exponential moving average or simple moving average as well for each individual MA.
For the last four MA lines, the color will change from red when bearish to green when bullish. There is also a much more subtle color change in the other MA lines as well.
Indicator: 8x MA with configurable lengthsGeneric 8x MA plotter. Marks all MA crossings.
Also, you can specify the type of MA -- SMA or EMA.
I actually added an option to disable a specific MA line by specifying ZERO for it. This seems to break the Pinescript Engine. So, for now, please specify all MA values, though I have support for disabling a line in the code.
MK_OSFT - Multi-Timeframe MA Dashboard with Alerts - v1.0Multi-Timeframe Moving Average Dashboard with Advanced Alerts
A comprehensive multi-timeframe moving average indicator that displays MA levels from 6 different timeframes simultaneously on your chart, complete with intelligent labeling, customizable alerts, and performance-optimized plotting.
*** Key Features ***
Multi-Timeframe Analysis
Monitor MA levels from 6 timeframes: 5m, 15m, 1H, 4H, Daily, and Weekly
Clean visual separation with customizable colors for each timeframe
Smart label positioning prevents overlapping and ensures readability
Intelligent Alert System
Individual alert toggles for each timeframe
Cross-above and cross-below MA alerts with once-per-bar frequency
Alerts only trigger on confirmed timeframe closes (no false signals)
Works across all trading pairs on your current chart
Flexible Display Options
Toggle individual timeframe visibility
Choose between SMA and EMA calculations
Adjustable MA length (default: 12 periods)
Two source options: Current Bar or Last Confirmed Bar
Customizable line widths, label sizes, and colors
Advanced Plotting System
Optional plot lines that don't clutter your Style tab
Performance-optimized line drawing with historical data support
"Wait till close" behavior for smooth higher timeframe representation
Clean horizontal segments that update only on timeframe closes
Real-Time Information Table
Live countdown timers showing time remaining until each timeframe closes
Visual indicators for current price position relative to each MA
Cross direction indicators (↑/↓) for quick trend assessment
Show/Alert status display for easy configuration verification
*** Settings Overview ***
Moving Average Settings
MA Length: Adjustable period (default: 12)
MA Type: SMA or EMA
Source: Current bar vs Last confirmed bar
Individual Timeframe Controls
Show/Hide toggles for each timeframe
Individual alert enable/disable
Optional plot line with custom width
Color customization per timeframe
Visual Customization
Label size options (tiny, small, normal, large)
Label offset positioning
Minimum gap between labels to prevent overlap
Drawing order preference (larger timeframes first/last)
Smart Features
Automatic label collision detection and adjustment
Real-time countdown timers (only on live bars)
Debug table with comprehensive timeframe information
Built-in alert setup instructions
Perfect For
Swing traders monitoring multiple timeframe confluences
Day traders seeking higher timeframe bias confirmation
Anyone wanting clean, organized multi-timeframe MA analysis
Traders who need reliable alerts without false signals
Performance Optimized
Efficient line drawing system (no Style tab clutter)
Smart historical data handling
Minimal resource usage with intelligent update cycles
Works smoothly on all timeframes and symbols
Transform your chart into a comprehensive multi-timeframe analysis dashboard with this professional-grade moving average indicator.
RSI MA Cross AlertAlerts when RSI-based Moving Average crosses above 50. Can be used on any symbol and timeframe. Displays RSI, RSI-MA, and levels 30/50/70.
