Positional Swings by Batman TradesEntry and Exit Signals for higher timeframes based on Ema & Sma with RSI overbought/oversold plots for possible reversal indication.
It can be used for booking profit in the existing trade and take fresh position once the new candle breaks the high/low of alert candle depending upon the side.
Best work with high timeframes. (>1 Hour)
Best recommended for stocks
相對強弱指標(RSI)
RSI PacingThe RSI Pacing indicator compares the movement of the RSI directly with the movement of the asset to help identify divergences.
Bullish Divergences
The RSI is increasing at a greater rate than the pace of the asset.
The RSI is decreasing at a lesser rate than the pace of the asset.
Bearish Divergences
The RSI is decreasing at a greater rate than the pace of the asset.
The RSI is increasing at a lesser rate than the pace of the asset.
Warning: Does not yet work on higher timeframes yet. Working on getting the pace normalized to the RSI's bounds.
SR Relative StrengthThis is a relative strength model for Indian Stock Markets where in the price of the stock in the current scenario is compared with the benchmark indices ( NIFTY / BANKNIFTY) over a period of 55 days ( by default).
This indicator also has RSI and Supertrend built-in by default. Hence this indicator can be used in place of 3 indicators.
How to use?
1. When the background is blue, it means that the stock is relatively strong as compared to the bench mark indices over a period of 55 days and the RSI is > 50
When both RS > 0 & RSI > 50 the background will be blue. If either or is true it won't turn blue.
2. Superternd by default setting is 10,3 which can be changed as per one's requirement.
Thanks!!
RSI In-Chart Indicator with Candle StickSimplified RSI with in Chart Indicator for better analysis, What is does? it simply plot OB/OS over candles for better understanding. Also you can on/of candle stick along side in setting but the RSI is always on.
Candle stick Patterns
Three White Soldier (TWS)
Three Black Crows (TBS)
Self-Optimizing RSI Strategy [Kioseff Trading]Hello!
Introducing the Self-Optimizing RSI Strategy.
The indicator tests up to 800 RSI strategies simultaneously, looping through arrays, and auto plots the best performing parameter set.
The image above shows the result of 800 RSI strategies concurrently.
The table oriented bottom right shows the performance and risk metrics of the best performing RSI system tested across the bar set. Additionally, the conditions for entry and exit are displayed; for the image - a long entry system predicated on RSI crossunders and exit system predicated on a 1% TP and 2% SL are shown.
The indicator calculates numerous risk and performance metrics.
Calculated metrics include:
RSI Parameters
RSI Cross Entry Level
Total Trades
Win Rate
Avg. Gain for Winning Trades
Max Pain
PnL (Cumulative Performance)
Profit Factor
Avg. Loss for Losing Trades
Ratio Avg. Win / Avg. Loss
Avg. Bars in Trade
Max Drawdown
Current Drawdown
Open Position PnL
"Dynamic" indicates the performance of self-optimizing RSI system was tested.
The image above shows the performance of the greatest-performing RSI system - a fixed set of parameters - when adhering to a 1% TP and 2% fixed SL.
Trailing Stops and Profit-Taking Limit orders can be set/simulated.
The image above shows a dynamic entry level - plotted as a purple, non-transparent line.
The entry level "self-optimizes" to mimic the best performing RSI system at current time.
The image above exemplifies the functionality for all horizontal lines plotted on the chart.
The average RSI level achieved subsequent a profitable trade is shown.
The average RSI level achieved subsequent a losing trade is shown.
The entry level for RSI crossunders/crossovers is shown.
The image above show the Self-Optimizing RSI indicator recording entries & exits; gains & losses, for each executed trade.
You can "verify" trades manually.
Blue boxes reflect an entered position.
Green boxes reflect a closed, profitable trade.
Red boxes reflect a close, losing trade.
The percentage gain for a profitable trade is appended to green boxes; the percentage loss for a losing trade is appended to red boxes.
The Self-Optimizing RSI indicator plots off the chart; however, percentage gains/losses are measured against price, not RSI.
Boxes correlate to the interval a trade was entered/exited on.
The indicator hosts various methods to filter the outcome for testing.
For instance, you can:
Use trailing stops or fixed stop losses
Test RSI crossunders and crossovers
Configure the RSI settings that are tested (i.e. RSI 2 - 9, RSI 14 - 20, RSI 50 - 57)
Test short-based RSI Systems and long-based RSI systems
Simulate limit orders (Exit intrabar at fixed stop losses or trailing stop losses; exit intrabar at profit targets)
Require all tested RSIs to trend above or below their respective average (i.e. all RSIs must trend above/below their 50-interval EMA values. SMAs can also be used)
Use external indicators and require a user-defined value be exceeded, measured below, or that price exceed or measure below an indicator. The Self-Optimizing RSI indicator incorporates a few built-in technical indicators - ADX, %k, MFI, CMFI, and RSI. Consequently, you can require these indicators to measure above/below a specified level prior to entry. Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator. I'll show an example shortly.
Adjust the time window that's tested.
Adjust PT and SL percentages.
Override plot an RSI system to procure thorough statistics.
Require a symbol to measure above/Below or equal to a particular price level to “validate” a Long/Short entry signal. You can retrieve any data hosted by TradingView and require it measure above/below a user-defined level prior to entry. For instance, you can select "$VIX", and require the ticker to measure less than $30 prior to long/short entry. If "$VIX" measures greater than $30 prior to a long/short signal the position will not open. Alternatively, you can require a symbol to measure above a user-defined price prior to entry. If the retrieved ticker doesn't measure above the user-defined level prior to entry a trade will not open.
Use trailing stops or fixed stop losses
The image above shows results for 800 short-based RSI systems - using a trailing stop loss.
Test RSI crossunders and crossovers
The image shows results for 800 long-based RSI systems. Positions are entered subsequent to RSI crossovers.
You can select which RSI strategies are tested - you aren't not limited to testing RSI 2 - RSI 9 (:
Simulate limit orders (Exit intrabar at fixed stop losses or trailing stop losses; exit intrabar at profit targets)
The image above shows performance test results when exiting during the interval subsequent to the profit target being exceeded.
The image above shows performance test results when exiting during the interval subsequent to the stop loss being exceeded.
Require all tested RSIs to trend above or below their respective average (i.e. all RSIs must trend above/below their 50-interval EMA values. SMAs can also be used)
The image above shows an RSI EMA in addition to prerequisite condition. For each RSI strategy tested, the RSI used for the strategy must measure above an EMA of its values prior to entry. You can require RSI to measure below an EMA of its values prior to entry, use an SMA, and change the length of the MA used.
Use external indicators and require a user-defined value be exceeded, measured below, or that price exceed or measure below an indicator. The Self-Optimizing RSI indicator incorporates a few built-in technical indicators - ADX, %k, MFI, CMFI, and RSI. Consequently, you can require these indicators to measure above/below a specified level prior to entry. Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator. I'll show an example shortly.
The image above shows me requiring the ADX indicator to measure above "20" prior to long entry. Any of the built-indicators can be used with similar conditions; you can implement a custom-coded indicator for trade logic.
Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator.
The image above shows me retrieving the value for Volume Profile Point of Control - a TradingView coded indicator.
Consequently, I can require price to measure above/below the session's Poc prior to RSI long/short entry.
You can use this feature with any custom coded indicator providing historical plot values - something you or a favored author have coded.
]Adjust PT and SL percentages
The image above shows adjusted TP & SL percentages - optimize and reward/risk ratio you'd like (:
Override plot an RSI system to procure thorough statistics.
The image above shows manually plotted RSI parameters and a corresponding stat sheet.
Require a symbol to measure above/Below or equal to a particular price level to “validate” a Long/Short entry signal. You can retrieve any data hosted by TradingView and require it measure above/below a user-defined level prior to entry. For instance, you can select "$VIX", and require the ticker to measure less than $30 prior to long/short entry. If "$VIX" measures greater than $30 prior to a long/short signal the position will not open. Alternatively, you can require a symbol to measure above a user-defined price prior to entry. If the retrieved ticker doesn't measure above the user-defined level prior to entry a trade will not open.
The image above shows me requiring the ticker "$VIX" to measure below $30 prior to long/short entry. If %VIS measures greater than $30 when a long/short signal triggers a position will not be opened. Further refine your trading system with this feature - exploit correlations.
Adjust the time window that's tested.
The image above shows configurable start and end dates for the optimization period.
You won't be able to test 800 RSI strategies concomitantly on a 20,000 bar data set.
Consequently, for large data sets (intrasession data) you will have to narrow the optimization window to test a larger number of combinations.
You can test 80 (loads on all data sets), 144 (loads on all data sets), 264 (loads on ~15,000 bar data sets), 312 (loads on ~11,500 bar data sets) and 800 (loads on ~4950 bar data sets)combinations simultaneously. You can test 800 RSI strategies simultaneously on intrasession data; however, you'll likely have to narrow the tested time window.
I recently published a bar count script titled "Bar Count for Backtesting", you can access the script here:
The above script is useful for quickly calculating the number of bars in a time window, or the date for a bar that is "x" number of bars back. Therefore, implementing these scripts cooperatively should improve date selection efficiency (not arbitrarily selecting test start & end dates that fail to load).
I included a tool tip describing the near-maximum bars in a data set that the higher numbers of simultaneous RSI strategies can be tested on.
More to come; enjoy!
(P.S. The script uses private libraries and, consequently, is unable to be published open source)
An optimization script is best implemented to discover what won't work, not what will work. The best performing "optimized" parameters are not a guaranteed profitable investment system. While we may see an exceptionally positive performance for a set of parameters, it's impossible to know how much of that performance is the beneficiary of market noise in the absence of additional testing. Most market moves are noise - irreplicable sequences that offer no predictive utility - and most "good" backtests overwhelmingly benefit from these irreplicable sequences. An investor unfamiliar with this concept may be lead to believe they have found a valid correlation between an indicator sequence and subsequent price movement, despite the correlation being illusory.
Consequently, it should be assumed that the best performing parameters strongly benefitted from market noise and will not work in a live market - until further rigorous statistical tests are performed on an investment system built around the best performing parameters. This includes out-of-sample, in-sample, and forward testing in addition to testing negatively correlated, positively correlated and zero-correlation assets; testing additional assets should be treated as prerequisite to live implementation.
Of course, all trading strategies, even one's that methodically exploit a valid correlation/replicable sequence, will benefit from market noise - it's impossible to avoid. However, a "legit" trading strategy has a chance to work on future price data, while an overoptimized strategy will fail miserably on new price data!
An overoptimized strategy is virtually guaranteed to have a better backtest performance than a valid strategy. The overoptimized strategy will fail in a live market while the valid strategy has a chance of working. So, should you notice the best performing RSI parameters, be sure to build a comprehensive trading system around the parameters and perform additional tests. This is the only way to know if the optimized parameters will truly work in a live market!
Unfortunately, they often will not!
This publication does not constitute investment advice.
WSTF RSI2 IndicatorThis is the Indicator replicating the basic RSI(2) created by Wilders.
Buy condition:
(RSI(2) crossed under 10) & (close > EMA(200)) & (EMA(5) > close)
Sell condition:
(RSI(2) crossed over 90) & (close < EMA(200)) & (EMA(5) < close)
You can play around with the script by adjusting the RSI Values, EMA values and crossover & crossunder threshold.
We will update the script with new features in the futures.
Please don't hesitate to share some Ideas or Feedbacks, we would be happy to improve the script for you !
Have fun !
WS TradingFactory
OMA (One More Average) RSI Histogram [Loxx]OMA (One More Average) RSI Histogram is an RSI histogram built using the OMA adaptive moving average. This is meant to filter out the noise from regular RSI. You'll notice that it rarely signals, but the signals that do show up are perfectly set up for mean reversion/trend ATR-based trading.
What is the One More Moving Average (OMA)?
The usual story goes something like this : which is the best moving average? Everyone that ever started to do any kind of technical analysis was pulled into this "game". Comparing, testing, looking for new ones, testing ...
The idea of this one is simple: it should not be itself, but it should be a kind of a chameleon - it should "imitate" as much other moving averages as it can. So the need for zillion different moving averages would diminish. And it should have some extra, of course:
How to use
Green means buy
Red means sell
Included
Bar coloring
Volatility Ratio Adaptive RSX [Loxx]Volatility Ratio Adaptive RSX this indicator adds volatility ratio adapting and speed value to RSX in order to make it more responsive to market condition changes at the times of high volatility, and to make it smoother in the times of low volatility
What is RSX?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurik RSX retains all the useful features of RSI, but with one important exception: the noise is gone with no added lag.
Included:
-Toggle on/off bar coloring
JG RSI/MFI/divergence IndicatorThis is a combination of
- RSI (relative strength index)
- MFI (money flow index)
- Divergences on the RSI
MFI behaves much the same as RSI but it more responsive/to some degree a leading indicator. I find it helps having this overlayed with RSI to help gauge price action and sentiment, as well as for confluence with RSI.
Phase-Accumulation Adaptive RSX w/ Expanded Source Types [Loxx]Phase-Accumulation Adaptive RSX w/ Expanded Source Types is a Phase Accumulation Adaptive Jurik RSX.
What is RSX?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
What is Phase Accumulation?
The phase accumulation method of computing the dominant cycle is perhaps the easiest to comprehend. In this technique, we measure the phase at each sample by taking the arctangent of the ratio of the quadrature component to the in-phase component. A delta phase is generated by taking the difference of the phase between successive samples. At each sample we can then look backwards, adding up the delta phases.When the sum of the delta phases reaches 360 degrees, we must have passed through one full cycle, on average.The process is repeated for each new sample.
The phase accumulation method of cycle measurement always uses one full cycle’s worth of historical data.This is both an advantage and a disadvantage.The advantage is the lag in obtaining the answer scales directly with the cycle period.That is, the measurement of a short cycle period has less lag than the measurement of a longer cycle period. However, the number of samples used in making the measurement means the averaging period is variable with cycle period. longer averaging reduces the noise level compared to the signal.Therefore, shorter cycle periods necessarily have a higher out- put signal-to-noise ratio.
Included:
-Toggle on/off bar coloring
RSI - S&P Sector ETFsThe script displays RSI of each S&P SPDR Sector ETF
XLB - Materials
XLC - Communications
XLE - Energy
XLF - Financials
XLI - Industrials
XLK - Technology
XLP - Consumer Staples
XLRE - Real Estate
XLU - Utilities
XLV - Healthcare
XLY - Consumer Discretionary
It is meant to identify changes in sector rotation, compare oversold/overbought signals of each sector, and/or any price momentum trading strategy applicable to a trader.
ATR-Adaptive, Smoothed Laguerre RSI [Loxx]ATR-Adaptive, Smoothed Laguerre RSI is an adaptive Laguerre RSI indicator with smoothing to reduce noise
What is Laguerre RSI?
The Laguerre RSI indicator created by John F. Ehlers is described in his book "Cybernetic Analysis for Stocks and Futures".
This version:
Instead of using fixed periods for Laguerre RSI calculation, this indicator uses an ATR (average True Range) adapting method to adjust the calculation period. This makes the RSI more responsive in some periods (periods of high volatility), and smoother in order periods (periods of low volatility). Also this indicator adds an option to have smoothed source input including Loxx's Expanded Source Types.
Included
-Loxx's Expanded Source Types
-Bar coloring
RAS.V2 Strength Index OscillatorHeavily modified version of my previous "Relative Aggregate Strength Oscillator" -Added high/low lines, alma curves,, lrc bands, changed candle calculations + other small things. Replaces the standard RSI indicator with something a bit more insightful.
Credits to @wolneyyy - 'Mean Deviation Detector - Throw Out All Other Indicators ' And @algomojo - 'Responsive Coppock Curve'
And the default Relative Strength Index
The candles are the average of the MFI ,CCI ,MOM and RSI candles, they seemed similar enough in style to me so I created candles out of each and the took the sum of all the candle's OHLC values and divided by 4 to get an average, same as v1 but with some tweaks. Previous Peaks and Potholes visible with the blue horizontal lines which adjust when a new boundary is established. Toggle alma waves or smalrc curves or both to your liking. This indicator is great for calling out peaks and troughs in realtime, although is best when combined with other trusted indicators to get a consensus.
TTP 3-checkmarks CCU market bottomThis indicator is an implementation of the method published by Steve from Crypto Crew University .
I didn't design this strategy, I'm only implementing it to allow people to be able to backtest it or set trading view alerts based on the original criteria.
This indicator can be backtested with Gavin's backtester, TTPTSL and any other indicator that can take a 1 as an external signal to buy.
How to use:
- add to INDEX:BTCUSD
- set the timeframe to 2D
Indicator parameters
- RSI 14
- stochastic RSI 3 3 14 14
- MA 200
- all in 2 day timeframe and using the close as source
Strategy:
- price needs to be below 200 MA
- RSI < 26
- stochastic rsi both lines below 20
- price should not be crossing the MA ( I added this to remove one signal that Steve also manually removed in the video)
I recommend watching his video to understand how it's supposed to work in more detail.
youtu.be
It's interesting to see that there are a few more signals that are fairly good but are being marked as invalid in the video even though they seem to fulfil the 3 checkmarks too. I left a question in the video to learn why and if it's intended. I'll keep you posted.
RSI Trend Heatmap in Multi TimeframesRSI Trend Heatmap in Multi Timeframes
Description
Sometimes you want to look at the RSI Trend across multiple time frames.
You have to waste time browsing through them.
So we've put together every time frame you want to see in one indicator.
We have 10 layers of RSI Trend heatmap available for you.
You can set the timeframe as you want on the Settings page.
Description of Parameter RSI Setting ** You can change it by setting.
RSI Trend Length : (Default 50)
Source : (Default close)
RSI Sideways Length : (Default 2 = RSI between 48 .. 52)
Description of Parameter RSI Timeframe ** You can change it by setting.
""=None,
"M"=1Month, "2W"=2Weeks, "W"=1Week,
"3D"=3Days, "2D"=2Days, "D"=1Day,
"720"=12Hours, "480"=4Hours, "240"=4Hours, "180"=3Hours, "120"=2Hours,
"60"=60Minutes, "30"=30Minutes, "15"=15Minutes, "5"=5Minutes, "1"=1Minute
Default Configurate of RSI Timeframe (for a time frame of 1 hour to 1 day)
"W"= Timeframe 1 month shown in line 90-100 --> Represent Long Trend of RSI
---------------------------------------
"D2"= Timeframe 2 days shown in line 70-80 --> Represent Trend of RSI
"D"= Timeframe 1 day shown in line 60-70 --> Represent Trend of RSI
---------------------------------------
"240"= Timeframe 3 hours shown in line 40-50 --> Represent Signal Up/Signal Down/Divergence of RSI
"120"= Timeframe 2 hours shown in line 30-40 --> Represent Signal Up/Signal Down/Divergence of RSI
"60"= Timeframe 1 hour shown in line 20-30 --> Represent Signal Up/Signal Down/Divergence of RSI
"30"= Timeframe 30 minutes shown in line 10-20 --> Represent Signal Up/Signal Down/Divergence of RSI
"15"= Timeframe 15 minutes shown in line 00-10 --> Represent Signal Up/Signal Down/Divergence of RSI
Description of Colors
Dark Bule = Extreme Uptrend / Overbought / Bull Market (RSI > 67)
Light Bule = Uptrend (RSI between 50-52 .. 67)
Yellow = Sideways Trend / Trend Reversal (RSI between 48 .. 52) ** You can change it by setting.
Light Red = Downtrend (RSI between 33 .. 48-50)
Dark Red = Extreme Downtrend / Oversold / Bear Market (RSI < 33)
How to use
1. You must first know what the main trend of the RSI is (look at the 60-80 line). If it is red, it is a downtrend. and if it's blue shows that it is an uptrend
2. Throughout the period of the main trend There will always be a reversal of the sub-trend. (Can see from the 0-50 line), but eventually will return to follow the main trend.
3. Unless the sub trend persists for a long time until the main trend changes.
RSI, Stoch Rsi, EMA, SMA, & ROCThis indicator is simply an enhanced version of the RSI followed up by a few extra indicators that pair strongly with the RSI. This indicator allows the user to interact with various inputs based off the indicators provided. All indicators include moving average, relative strength index, stochastic relative strength index, simple moving average, exponential moving average, and rate of change. This program is unique as it is very versatile allowing the user to use as little or as many indicators as needed interchangeably.
Dragon Double RSIMost important thing is feeling inspired and relaxed. Forcing your way into anything under stress and pressure will only end up in disaster
This indicator consists of three RSIs.
RSI: RSI is common and its length is 14.
RSI 1: The slowest RSI. The length is 100.
RSI 2: Faster than RSI 1. The length is 50.
Volume Risk Avoidance IndicatorPrice Pattern Analysis is the core of trading. But price patterns often fails.
VRAI (Volume Risk Avoidance Indicator) shows Volume Pressure, so that you can avoid volume-based risks.
For example, never short when you see green (buying pressure). Never long when you see red (selling pressure).
You still need to pick good price patterns, because the crossover of volume pressure is not reliable.
Enjoy!
RSI Divergence Scanner by zdmreDivergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
If the stock is rising and making new highs, ideally the RSI is reaching new highs as well. If the stock is making new highs, but the RSI starts making lower highs, this warns the price uptrend may be weakening. This is negative divergence.
Positive divergence is the opposite situation. Imagine the price of a stock is making new lows while the RSI makes higher lows with each swing in the stock price. Investors may conclude that the lower lows in the stock price are losing their downward momentum and a trend reversal may soon follow.
Divergence is one of the common uses of many technical indicators, primarily the oscillators.
Use it at your own risk
Buy Sell Indicator - WJThis is a simple Buy Sell indicator using the 3 indicators namely EMA50, RSI3 and ADX5. This is just for illustration feel free to test it and make improvements.
Bonds RSIA visually appealing RSI indicator with "at a glance" visual cues to quickly and easily identify who is in control of the chart.
This indicator provides clear "Bull" and "Bear" control zones, as well as a built-in EMA that is color changing based on the trend direction.
All functions, specific data points and color themes are 100% customizable to allow the user the ability to tweak all aspects of this tool to their own liking.
As time allows I will be adding additional features & functions.
Please like & share this indicator if you find it useful.
RSI OverlayThis is the stock RSI index using the Price as the midline.
It can be useful to view information normally displayed in a second pane overlaid on the price chart. As far as I know, this has not been done for one of the most widely used indicators, the Relative Strength Index.
This can be overlaid anywhere on the chart and every parameter is variable. If you'd like to change the position, the RSI, midline, upper line, and lower line are scaled with a factor "*close/x"
To change the position on the chart, simply change the "X" until you are pleased with the location.
The RSI MA was distracting so I removed it. I also published this indicator including the MA, titled "RSI Overlay with MA."
