Reverse Engineering RSI II - EMARSI and SMARSIThis is the Reverse Engineering EMARSI and SMARSI Indicator.
It’s based on the work of Giorgos Siligardos on Reverse Engineering RSI.
The Reverse Engineering EMARSI and SMARSI Indicator shows the Exponential Moving Average and the Simple Moving Average of the RSI line but plotted in the price chart.
This script is also a complement of "Reverse Engineering RSI, by Giorgos Siligardos" script by HPotter but can also be used alone.
By default the RevEngSMARSI is turned off.
The RevEngEMARSI is the white line.
I’ve also added to the indicator:
1) Simple Moving Average (MA) of the EMARSI (EMARSI SMA) - Orange Line
2) Standard Deviation Bands for the EMARSI SMA - turned off by default
Using the settings I left in default (Length's = 1), we can see that when the EMARSI SMA is horizontal the price rises and so does the EMARSI. Also when the EMARSI SMA rises that's a signal that there is a resistance/support at that price. We can observe such thing if we draw horizontal lines at those prices. We can use this to help us put stop-losses and take profits. Also, those resistance/suport prices are ALWAYS the closing price of the first red candle after a bullish trend (big or small trends). Interesting...
When the EMARSI SMA rises and touches the EMARSI 3 things can happen:
- Bullish Trend slows down
- Correction of price
- Trend reversal
So, when the EMARSI SMA rises that can be interpreted as a signal for taking profits.
We should always wait for the price to close in the timeframe we're using, because sometimes the EMARSI SMA rises before the closing price and flattens again when is about to close.
However we should never take decisions based on 1 indicator. Our trading decision should always take in consideration multiple sources of information.
Of course we can use other settings for the trading. And if we do that we will observe different behaviours. And we should also study those behaviours. We can then use the crosses between the lines.
If there is something wrong with the code or its calculations, please let me know.
If you want to modify or improve the code, feel free to do that, but please let me know the changes you made.
This Indicator works in all timeframes. I hope you enjoy it!
מדד חוזק יחסי (RSI)
[Pt] TICK + Heikin Ashi RSI IndicatorThis indicator combines NYSE TICK and RSI to aim to provide a view of NYSE market trend strength.
What is TICK
NYSE TICK, also known as the TICK index, is a technical analysis indicator that shows the number of stocks on the New York Stock Exchange (NYSE) that are trading on an uptick or a downtick in a particular period of time. The TICK index is calculated by subtracting the number of stocks trading on a downtick from the number of stocks trading on an uptick. A reading of +1000 on the TICK index, for example, would indicate that there are 1000 more stocks trading on an uptick than on a downtick. The TICK index is often used as a measure of market sentiment, as it can provide insight into whether there is more buying or selling pressure in the market at a given time. A high TICK index reading may suggest that there is strong buying pressure, while a low TICK index reading may indicate that there is more selling pressure in the market.
By default, I am using -800 and 800 for oversold and overbought levels. These are configurable. Also, this indicator includes TICK divergence signals.
The TICK index is usually very volatile, so this indicator is best suited for lower timeframes, such as 1 to 5 min charts.
Idea of TICK neutral zone
As part of this indicator I've identified what I consider as "neutral" range for the TICK. Based on my own personal experience, the market tends to be in consolidation or choppy in this range. By default, I've defined this range to be -200 to 200. This range is configurable.
Signals
In combination with RSI and Heikin Ashi RSI (HARSI), which help smooths out the RSI values and make it easier to identify trends and potential reversal points, this indicator aims to generate Bullish vs Bearish signals based on the following conditions:
- bullish / bearish HARSI candle
- Inside bar on HARSI candle
- TICK trend (above or below Neutral zone)
- RSI trend (above or below 0, but not overbought or oversold)
- RSI / HARSI convergence and divergence
When all bullish conditions are met, the signal turns bright green. Bright red when all bearish conditions are met. These generated signals aims to provide users easy to read visual cues to help with their trades.
A table is also provided in attempt to identify the trend in real time:
TICK trend:
- Bullish, Extended
- Bullish
- Neutral w/ Bullish bias
- Neutral w/ Bearish bias
- Bearish
- Bearish, Extended
RSI:
- Bullish
- Bearish
Note on scale
This indicator is based on the scale for TICK, hence the RSI and HARSI are scaled. By default, standard overbought RSI value of 70 = 800 on this scale, whereas oversold value of 30 = -800.
Credits:
Heikin Ashi RSI code was borrowed from @JayRogers - Heikin Ashi RSI Oscillator
Slope Normalized (SN)Introduction:
The Normalized Slope script is a technical indicator that aims to measure the strength and direction of a trend in a financial market. It does this by calculating the slope of the source data series, which can be any type of data (such as price, volume, or an oscillator) over a specified length of time. The slope is then normalized, meaning it is transformed to a scale between -1 and 1, with 0 representing a flat trend.
Methodology:
The Normalized Slope script uses an exponential smoothing function to smooth the source data series. The smoothing factor, or alpha, can be adjusted by the user through the input parameter "Pre Smoothing".
Next, the script calculates the slope of the smoothed data series by finding the average difference between the current value and the values of the previous "Length" periods. This slope is then normalized using a function that scales the data to a range of -1 to 1, with 0 representing a flat trend. The normalization function takes the minimum and maximum values of the slope, calculates the difference between them, and then scales the data to the range of -1 to 1.
The normalized slope is then smoothed again using another exponential smoothing function with a user-adjustable smoothing factor (the "Post Smoothing" input parameter). A center line representing a flat trend can also be plotted on the chart by enabling the "Center Line" input parameter. Additionally, the user can choose to display bounds at the -1 and 1 levels by enabling the "Bounds" input parameter.
Conclusion:
The Normalized Slope script provides traders with a visual representation of the strength and direction of a trend in a financial market. It can be used as a standalone indicator or in combination with other technical analysis tools to help traders make informed trading decisions.
RSI and MA with Trailing Stop Loss and Take Profit (by Coinrule)The relative strength index is a momentum indicator used in technical analysis. It measures the speed and magnitude of a coin's recent price changes to evaluate overvalued or undervalued conditions in the price of that coin. The RSI is displayed as an oscillator (a line graph essentially) on a scale of zero to 100. When the RSI reaches oversold levels, it can provide a signal to go long. When the RSI reaches overbought levels, it can mark a good exit point or alternatively, an entry for a short position. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A moving average (MA) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range. Essentially it is used to help smooth out price data by creating a constantly updated average price.
The Strategy enters and closes trades when the following conditions are met:
Entry Conditions:
RSI is greater than 50
MA9 is greater than MA50
RSI increases by 5
Exit Conditions:
Price increases by 1% trailing
Price decreases by 2% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
MACD + RSI + ADX Strategy (ChatGPT-powered) by TradeSmartThis is a trading strategy made by TradeSmart, using the recommendations given by ChatGPT . As an experiment, we asked ChatGPT on which indicators are the most popular for trading. We used all of the recommendations given, and added more. We ended up with a strategy that performs surprisingly well on many crypto and forex assets. See below for exact details on what logic was implemented and how you can change the parameters of the strategy.
The strategy is a Christmas special , this is how we would like to thank the support of our followers.
The strategy has performed well on Forex, tested on 43 1-hour pairs and turned a profit in 21 cases. Also it has been tested on 51 crypto pairs using the 1-hour timeframe, and turned a profit in 45 cases with a Profit Factor over 1.4 in the top-5 cases. Tests were conducted without commission or slippage, unlike the presented result which uses 0.01% commission and 5 tick slippage.
Some of the top performers were:
SNXUSDT
SOLUSDT
CAKEUSDT
LINKUSDT
EGLDUSDT
GBPJPY
TRYJPY
USDJPY
The strategy was implemented using the following logic:
Entry strategy:
Long entry:
Price should be above the Simple Moving Average (SMA)
There should be a cross up on the MACD (indicated by the color switch on the histogram, red to green)
RSI should be above the 50 level
Volume is above the selected volume-based Exponential Moving Average (EMA)
ADX should also agree to this position: below 50 and over 20, and above the Regularized Moving Average (REMA)
Short entry:
Price should be under the Simple Moving Average (SMA)
There should be a cross down on the MACD (indicated by the color switch on the histogram, red to green)
RSI should be below the 50 level
Volume is above the selected volume-based Exponential Moving Average (EMA)
ADX should also agree to this position: below 50 and over 20, and above the Regularized Moving Average (REMA)
Exit strategy:
Stop Loss will be placed based on ATR value (with 1.5 Risk)
Take profit level will be placed with a 2.5 Risk/Reward Ratio
Open positions will be closed early based on the Squeeze Momentum (Long: change to red, Short: change to green)
NOTE! : The position sizes used in the example is with 'Risk Percentage (current)', according which the position size will be determined such
that the potential loss is equal to % of the current available capital. This means that in most of the cases, the positions are calculated using leverage.
Parameters of every indicator used in the strategy can be tuned in the strategy settings as follows:
Plot settings:
Plot Signals: true by default, Show all Long and Short signals on the signal candle
Allow early TP/SL plots: false by default, Checking this option will result in the TP and SL lines to be plotted also on the signal candle rather than just the entry candle. Consider this only when manual trading, since backtest entries does not happen on the signal candle.
Entry Signal:
Fast Length: 12 by default
Slow Length: 26 by default
Source: hlcc4 by default
Signal Smoothing: 9 by default
Oscillator MA Type: EMA by default
Signal Line MA Type: EMA by default
Exit Strategy:
ATR Based Stop Loss: true by default
ATR Length (of the SL): 14 by default
ATR Smoothing (of the SL): EMA by default
Candle Low/High Based Stop Loss: false by default, recent lowest or highest point (depending on long/short position) will be used to calculate stop loss value. Set 'Base Risk Multiplier' to 1 if you would like to use the calculated value as is. Setting it to a different value will count as an additional multiplier. Please select only one active stop loss. Default value (if nothing or multiple stop losses are selected) is the 'ATR Based Stop Loss'.
Candle Lookback (of the SL): 10 by default
Base Risk Multiplier: 1.5 by default, the stop loss will be placed at this risk level (meaning in case of ATR SL that the ATR value will be multiplied by this factor and the SL will be placed that value away from the entry level)
Risk to Reward Ratio: 2.5 by default, the take profit level will be placed such as this Risk/Reward ratio is met
Force Exit based on Squeeze Momentum: true by default, a Long position will be closed when Squeeze Momentum turns red inside an open position and a Short position will be closed when Squeeze Momentum turns green inside an open position
BB Length: 20 by default
BB Mult Factor: 1.0 by default
KC Length: 20 by default
KC Mult Factor: 1.5 by default
Use True Range (KC): Yes by default
Base Setups:
Allow Long Entries: true by default
Allow Short Entries: true by default
Order Size: 1.5 by default
Order Type: Risk Percentage (current) by default, allows adjustment on how the position size is calculated: Cash: only the set cash ammount will be used for each trade Contract(s): the adjusted number of contracts will be used for each trade Capital Percentage: a % of the current available capital will be used for each trade Risk Percentage (current): position size will be determined such that the potential loss is equal to % of the current available capital Risk Percentage (initial): position size will be determined such that the potential loss is equal to % of the initial capital
Trend Filter:
Use long trend filter: true by default, only enter long if price is above Long MA
Show long trend filter: true by default, plot the selected MA on the chart
MA Type (Long): SMA by default
MA Length (Long): 100 by default
MA Source (Long): close by default
Use short trend filter: true by default, only enter long if price is under Short MA
Show short trend filter: false by default, plot the selected MA on the chart
MA Type (Short): SMA by default
MA Length (Short): 100 by default
MA Source (Short): close by default
Simple RSI Limiter:
Limit using Simple RSI: true by default, if set to 'Normal', only enter long when Simple RSI is lower then Long Boundary, and only enter short when Simple RSI is higher then Short Boundary. If set to 'Reverse', only enter long when Simple RSI is higher then Long Boundary, and only enter short when Simple RSI is lower then Short Boundary.
Simple RSI Limiter Type:
RSI Length: 14 by default
RSI Source: hl2 by default
Simple RSI Long Boundary: 50 by default
Simple RSI Short Boundary: 50 by default
ADX Limiter:
Use ADX Limiter: true by default, only enter into any position (long/short) if ADX value is higher than the Low Boundary and lower than the High Boundary.
ADX Length: 5 by default
DI Length: 5 by default
High Boundary: 50 by default
Low Boundary: 20 by default
Use MA based calculation: Yes by default, if 'Yes', only enter into position (long/short) if ADX value is higher than MA (ADX as source).
MA Type: REMA by default
MA Length: 5 by default
Volume Filter:
Only enter trades where volume is higher then the volume-based MA: true by default, a set type of MA will be calculated with the volume as source, and set length
MA Type: EMA by default
MA Length: 10 by default
Session Limiter:
Show session plots: false by default, show crypto market sessions on chart: Sidney (red), Tokyo (orange), London (yellow), New York (green)
Use session limiter: false by default, if enabled, trades will only happen in the ticked sessions below.
Sidney session: false by default, session between: 15:00 - 00:00 (EST)
Tokyo session: false by default, session between: 19:00 - 04:00 (EST)
London session: false by default, session between: 03:00 - 11:00 (EST)
New York session: false by default, session between: 08:00 - 17:00 (EST)
Date Range:
Limit Between Dates: false by default
Start Date: Jul 01 2021 00:00:00 by default
End Date: Dec 31 2022 00:00:00 by default
Trading Time:
Limit Trading Time: false by default, tick this together with the options below to enable limiting based on day and time
Valid Trading Days Global: 1234567 by default, if the Limit Trading Time is on, trades will only happen on days that are present in this field. If any of the not global Valid Trading Days is used, this field will be neglected. Values represent days: Sunday (1), Monday (2), ..., Friday (6), Saturday(7) To trade on all days use: 123457
(1) Valid Trading Days: false, 1234567 by default, values represent days: Sunday (1), Monday (2), ..., Friday (6), Saturday(7) The script will trade on days that are present in this field. Please make sure that this field and also (1) Valid Trading Hours Between is checked
(1) Valid Trading Hours Between: false, 0930-1600 by default, hours between which the trades can happen. The time is always in the exchange's timezone
Fine-tuning is highly recommended when using other asset/timeframe combinations.
Kioseff Trading - AI-Optimized RSIAI-Optimized RSI
Introducing AI-Optimized RSI: a streamlined solution for traders of any skill level seeking to rapidly test and optimize RSI. Capable of analyzing thousands of strategies, this tool cuts through the complexity to identify the most profitable, reliable, or efficient approaches.
Paired with TradingView's native backtesting capabilities, the AI-Optimized RSI learns from historical performance data. Set up is easy for all skill levels, and it makes fine-tuning trading alerts and RSI straightforward.
Features
Purpose : Uncover optimal RSI settings and entry levels with precision. Say goodbye to random guesses and arbitrary indicator use—this tool provides clear direction based on data.
Target Performance : You set the goal, and AI-RSI seeks it out, whether it's maximizing profits, efficient trading, or achieving the highest win rate.
AI-Powered : With intelligent AI recommendations, the tool dynamically fine-tunes your RSI approach, steering you towards ideal strategy performance.
Rapid Testing : Evaluate thousands of RSI strategies.
Dual Direction : Perfect both long and short RSI strategies with equal finesse.
Deep Insights : Access detailed metrics including profit factor, PnL, win rate, trade counts, and more, all within a comprehensive strategy script.
Instant Alerts : Set alerts and trade.
Full Customization : Test and optimize all RSI settings, including cross levels, profit targets and stop losses.
Simulated Execution : Explore the impact of limit orders and other trade types through simulation.
Integrative Capability : Combine your own custom indicators or others from the TradingView community for a personalized optimization experience.
Flexible Timeframes : Set your optimization and backtesting to any date range.
Key Settings
The image above shows explanations for a list of key settings for the optimizer.
Direction : This setting controls trade direction: Long or Short.
Entry Condition : Define RSI entry: Select whether to trigger trades on RSI crossunders or crossovers.
RSI Lengths Range : Choose the range of RSI periods to test and find the best one.The AI will find the best RSI period for you.
RSI Cross Range : Set the range for RSI levels where crosses trigger trade signals. The AI will find the best level for you.
Combinations : Select how many RSI strategies to compare.
Optimization Type : Choose the goal for optimization and the AI: profit, win rate, or efficiency.
Profit Target : Set your profit target with this setting.
Stop Loss : Decide your maximum allowable loss (stop loss) per trade.
Limit Order : Specify whether to include limit orders in the strategy.
Stop Type : Choose your stop strategy: a fixed stop loss or a trailing stop.
How to: Find the best RSI for trading
It's important to remember that merely having the AI-Optimized RSI on your chart doesn't automatically provide you with the best strategy. You need to follow the AI's guidance through an iterative process to discover the optimal RSI settings and strategy.
1.Starting Your Strategy Setup
Begin by deciding your goals for each trade: your profit target and stop loss. You'll also choose how to manage your stops – whether they stay put (fixed) or move with the price (trailing), and whether you want to exit trades at a specific price (limit orders). Keep the initial settings for RSI lengths and cross ranges at their default to give the tool a broad testing field. The AI's guidance will refine these settings to pinpoint the most effective ones through a process of comprehensive testing.
The image above shows our chart prior to any optimization efforts.
Note: the settings shown above in the key settings section will be used to start our demonstration.
2. Follow AI’s suggestions
Optimization Prompt: After loading your strategy, the indicator will prompt you to change the RSI length range and RSI level range to a better performing range.
Continue changing the RSI length range and RSI level range to match the indicator's suggestions until "Best Found" is displayed!
The image above shows results after we applied the tool’s suggestions. New suggestions have appeared, and we will continue to apply them.
Continue to adjust settings as recommended by the optimizer. If no better options are found, the optimizer will suggest increasing the number of combinations. Repeat this process until the optimizer indicates that the optimal setting has been identified.
Success! With the "Best Found" notification, an optimized RSI is now active. The AI will keep refining the strategy based on ongoing performance, ensuring continuous optimization.
AI Mode
AI Mode incorporates Heuristic-Based Adaptive Learning to fine-tune trading strategies in a continuous manner. This feature consists of two main components:
Heuristic-Based Decision Making: The algorithm evaluates multiple RSI-based trading strategies using specific metrics such as Profit and Loss (PNL), Win Rate, and Most Efficient Profit. These metrics act as heuristics to assist the algorithm in identifying suitable strategies for trade execution.
Online Learning: The algorithm updates the performance evaluations of each strategy based on incoming market data. This enables the system to adapt to current market conditions.
Incorporating both heuristic-based decision-making and online learning, this feature aims to provide a framework for trading strategy optimization.
Settings
AI Mode Aggressiveness:
Description: The "AI Mode Aggressiveness" setting allows you to fine-tune the AI's trading behavior. This setting ranges from “Low” to “High”, with “High” indicating a more assertive trading approach.
Functionality: This feature filters trading strategies based on a proprietary evaluation method. A higher setting narrows down the strategies that the AI will consider, leaning towards more aggressive trading. Conversely, a lower setting allows for a more conservative approach by broadening the pool of potential strategies.
Adaptive Learning Aggressiveness:
Description: When Adaptive Learning is enabled, the "Adaptive Learning Aggressiveness" setting controls how dynamically the AI adapts to market conditions using selected performance metrics.
Functionality: This setting impacts the AI's responsiveness to shifts in strategy performance. By adjusting this setting, you can control how quickly the AI moves away from strategies that may have been historically successful but are currently underperforming, towards strategies that are showing current promise.
Optimization
Trading system optimization is immensely advantageous when executed with prudence.
Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail.
Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
Oscillator ExtremesThe Oscillator Extremes indicator plots the normalized positioning of the selected oscillator versus the Bollinger Bands' upper and lower boundaries. Currently, this indicator has four different oscillators to choose from; RSI, CMO, CCI, and ROC.
When the oscillator pushes towards one extreme, it will bring the value of the prevailing line closer to zero. If the bullish or bearish line crosses the zero line, the oscillator is past the extreme of the Bollinger Band.
Example: If the RSI crosses over the upper boundary of the Bollinger, the bullish(green) line will cross under the zero line.
Crossovers of the bullish and bearish lines can indicate a shift in momentum and are a signal. Where the line crossing under, towards zero, is the prevailing trend. The plotted lines will highlight green(bullish) or red(bearish) to show the prevailing trend. This is similar to a DI+- crossover that is commonly associated with the ADX.
We have included an optional normalized ADX to help validate signals. The ADX will change color based on the slope of the ADX. Purple indicates a positive slope and white for a negative slope.
Exponential Smoothed RSII wanted to create a custom RSI to get clearer signals, so I coded this. It is an RSI average (to prevent the classic RSI in and out oversold/overbought zones) that is approaching the 0 and 100 levels with an exponential math formula.
If the "RSI smoothing factor" input increases, the rsi gets easily closer to the 0 and 100 limits.
This RSI will never be lower than 0 or higher than 100, its smoothing is asymptotic to the limits levels
I also added the possibility to change timeframe if you need
Note: the image is a simple confrontation between built-in RSI and exponentially smoothed RSI
M0PB (Momentum Pullback)Long/short strategy that identifies extreme readings on the rsi as a *momentum signal*, unlike most RSI strategies the script will look to buy or sell the first pullback in the direction of the extreme RSI reading.
Enters positions on the first pullback to the 5ema(low)/ 5ema(high) and exits at rolling 12 bar high/ low. The rolling high/ low feature means that if the price enters into a prolonged consolidation the profit target will begin to reduce with each new bar. The best trades tend to work within 2-6 bars.
Built for use on 5 min intervals on FX, Indexes, and Crypto. Lower than 5 minute time frames tend to be noisier and mean more commissions and a higher risk of slippage so the suggested timeframe is 5 mins.
Hard stop is X ATR (users can experiment with this) from the position entry price. This can be adjusted in user inputs.
There is a lot of slack left in entries and exits but the overall strategy is fairly robust across timeframes and markets and has between 60%-70% win rate with larger winners.
Signals that occur from economic news volatility are best avoided.
MarsMine_OverThis indicator marks the area where the overbought/oversold section of the Stochastic RSI and the overbought/oversold section of the RSI overlap with arrows.
If an upward arrow appears on the indicator, it can be recognized that both StoRSI and RSI have entered the oversold zone.
When a down arrow appears, both the StoRSI and RSI can be considered to have entered the overbought zone.
This is a good signal to identify the direction of the future trend.
이 지표는 Stochastic RSI의 과매수/과매도 구간과 RSI의 과매수/과매도 구간이 겹치는 구간을 화살표로 표기 해주는 지표 입니다.
해당 지표에서 상승 화살표가 출현할 경우에는 StoRSI와 RSI 모두 과매도 구간에 진입했다고 인식할 수 있으며,
하락 화살표가 출현할 경우에는 StoRSI와 RSI 모두 과매수 구간에 진입했다고 인식할 수 있습니다.
이는 추후 추세의 방향성을 파악할 수 있는 좋은 시그널 입니다.
Key Points of Adjoining Median (KPAM)This indicator shows more reliable overbought & oversold levels buy combing 3 different level-indicators (i.e., indicators showing overbought/oversold levels).
A median is created by adjoining two of them and then it is assisted by a third one.
This reduces noise in calculating entries when using level indicators.
Note: The extra indicator shown is "Bands Bands (BanB)"
----- HOW TO USE IT -----
Use with price-action trading and with indicators showing the overall trend.
See notes in chart for more explanation.
The high and low levels of the RSI are within a range of 2 & -2 respectively.
The high and low levels for the median range from 4 & -4 respectively.
The Discordance shows how certain the level of the median is.
For example, if a part of the Discordance touches a low level while the median is at a higher level, then it usually indicates that the median is about to reverse.
The more Discordance that is visible, the less certain the current trend of the median is.
----- HOW THIS INDICATOR IS ORIGINAL; WHAT IT DOES AND HOW IT DOES IT -----
This indicator has an original, unique ability to reduce noise when comparing overbought and oversold levels.
It does this by first adjoining the Stochastic and the Stochastic RSI. Second, it creates a median from the two.
Third, the median is compared to the RSI on the same scale to assist in deciding where the median is at in relation to itself.
It shows whether the median lows and highs are near overbought or oversold levels.
----- VERSION -----
This is not a variant of the Stochastic, Stochastic RSI, and/or the RSI.
The focus is on the median that is created by an adjoining of the Stochastic and Stochastic RSI.
The Stochastic and Stochastic RSI are needed in order to obtain and plot the Median and the Discordance.
The RSI is plotted on the same scale to serve as the comparison needed to evaluate the Median levels with more visual accuracy.
I11L - Meanreverter 4h---Overview---
The system buys fear and sells greed.
Its relies on a Relative Strength Index (RSI) and moving averages (MA) to find oversold and overbought states.
It seems to work best in market conditions where the Bond market has a negative Beta to Stocks.
Backtests in a longer Timeframe will clearly show this.
---Parameter---
Frequency: Smothens the RSI curve, helps to "remember" recent highs better.
RsiFrequency: A Frequency of 40 implies a RSI over the last 40 Bars.
BuyZoneDistance: Spacing between the different zones. A wider spacing reduces the amount of signals and icnreases the holding duration. Should be finetuned with tradingcosts in mind.
AvgDownATRSum: The multiple of the Average ATR over 20 Bars * amount of opentrades for your average down. I choose the ATR over a fixed percent loss to find more signals in low volatility environments and less in high volatility environments.
---Some of my thoughts---
Be very careful about the good backtesting performance in many US-Stocks because the System had a favourable environment since 1970.
Be careful about the survivorship bias as well.
52% of stocks from the S&P500 were removed since 2000.
I discount my Annual Results by 5% because of this fact.
You will find yourself quite often with very few signals because of the high market correlation.
My testing suggests that there is no expected total performance difference between a signal from a bad and a signal from a good market condition but a higher volatility.
I am sharing this strategy because i am currently not able to implement it as i want to and i think that meanreversion is starting to be taken more serious by traders.
The challange in implementing this strategy is that you need to be invested 100% of the time to retrieve the expected annual performance and to reduce the fat tail risk by market crashes.
RSI Divergence Strategywhat is "RSI Divergence Strategy"?
it is a RSI strategy based this indicator:
what it does?
it gives buy or sell signals according to RSI Divergences. it also has different variables such as "take profit", "stop loss" and trailing stop loss.
how it does it?
it uses the "RSI Divergence" indicator to give signal. For detailed information on how it works, you can visit the link above. The quantity of the inputs is proportional to the rsi values. Long trades are directly traded with "RSI" value, while short poses are traded with "100-RSI" value.
How to use it?
The default settings are for scalp strategy but can be used for any type of trading strategy. you can develop different strategies by changing the sections. It is quite simple to use.
RSI length is length of RSİ
source is source of RSİ
RSİ Divergence lenght is length of line on the RSI
The "take profit", "stop" and "trailing stop" parts used in the "buy" group only affect buys. The "sell" group is similarly independent of the variables in the "buy" group.
The "zoom" section is used to enlarge or reduce the indicator. it only changes the appearance, it does not affect the results of the strategy.
[7H] Trading HUD - MTF EMAs and RSIThis is a MTF HUD built around Chartguy Dan's trading style of 12/26 EMAs and RSI levels from multiple time frames. The HUD is configurable, allowing you to change the time frame of RSI levels and EMAs. The EMAs can be displayed at their current price or a percentage distance away. The HUD values will change color.
I11L - Reversal Trading Ideas by Larry ConnorsThis is my own Twist on Larry Connors Simple Tradingideas.
It Combines the RSI, Averaging In and the Lowest Bars in a Single System.
The current Configuration is designed for the Daily Timeframe.
Feel free to play with the Parameters and keep in mind that Larry Intended to buy fear and sell the greed!
The Rules are the following:
---Buy---
Buy, if the lowest Bar of your Configuration has been hit (default is set to 7).
---Average Down--
Buy, if the lowest Bar of your Configuration * Your open trades has been hit AND only if the buyin is atleast 1% cheaper.
---Close---
Close, if the RSI closes above a certain level (default is set to 70).
---TP---
There is no TP
---SL---
There is no SL, so be cautions of your tail Risk!
Divergence Finder (RSI/Price) with OptionsDivergence finder used to find BUY or SELL Signal based on a divergence between Price and RSI (Price goes UP when RSI goes down / opposite )
You can configure the script with several Options :
Source for Price Buy Div : you can use the close price of the candle (by default) or use the high price of the candle for exemple.
Source for Price Sell Div : you can use the close price of the candle (by default) or use the low price of the candle for exemple.
Source for RSI Div : you can use the close price of the candle (by default) to calculate the RSI .
Theses settings allow you to set a minimum RSI level to reach to activate the Divergence finder (p1 is the first point in time, and p2 is the second one):
Min RSI for Sell divergence(p1) : this is the minimum RSI level to reach for the first of the 2 points of divergence (Default 70) for the SELL Signal
Min RSI for Sell divergence (p2) : this is the minimum RSI level to reach for the second of the 2 points of divergence (Default 60) for the SELL Signal
Max RSI for Buy divergence (p1) : this is the minimum RSI level to reach for the first of the 2 points of divergence (Default 30) for the BUY Signal
Max RSI for Buy divergence (p2) : this is the minimum RSI level to reach for the second of the 2 points of divergence (Default 40 ) for the BUY Signal
Theses settings allow you to set a minimum margin difference between our two points (p1 and p2) to validate the Divergence
Min margin between price for displaying divergence (%) : Set a minimum margin (in % of the price) before the indicator validate this divergence
Min margin between RSI for displaying divergence (%) : Set a minimum margin (in % of the RSI ) before the indicator validate this divergence
Display Divergence label : Choose to display the price of the candle, and the RSI when a divergence is found
Display tops/bottoms : Display where the tops and bottoms are calculated directly on the chart
Relative Strength ComparatorBasically just plots the RSI and the RSI of another stock you pick. Then subtracts the two and makes a histogram showing who's winning.
RSI DivergenceWhat is "RSI Divergence"?
"RSI Divergence" is a indicator that find RSI divergence automatically.
What it does?
When it finds an RSI divergence, it draws a line on the indicator.
How it does it?
The lines are found using the least squares method. If the signs of the linear regression on the graph and the linear regression plotted on the RSI are different, this is considered divergence.
How to use it?
RSI lenght = RSI lenght
source = source of RSI
RSI Divergence Lenght = lenght of lines that draws on indicator
zoom = zoom
examples:
Smooth Stochastic and RSI ComboA lot of people run both stochastic and rsi on one chart so I figured I would make something that combines the two. This script takes both the rsi and the stochastic, smooths them both and then plots them both on top of each other. I have filled it to make an error range and I colored it with the direction of its mean. I hope this frees up some room on your screen! Enjoy!
ps this is not stochastic rsi, its both stochastic and rsi.
RSI Objective LinesThe RSI is a contrarian indicator bounded between 0 and 100 where values close to the area of 30 represent an oversold condition and values close to the area of 70 represent an overbought condition.
Generally, we use the area of 70/75 and the area of 30/25 as extremes that signal a market reversal or a correction. But what if we calculate a simple way to make these levels more dynamic?
The main idea from these objective support and resistance levels is that market regime and dynamics move and as such fixed levels are unlikely to always provide value which means that we can try creating variable levels. The objective support and resistance levels are created following these steps:
* Calculate a 14-period RSI on the close price, let's call this RSI_Close.
* Calculate a 14-period RSI on the high price, let's call this RSI_High.
* Calculate a 14-period RSI on the low price, let's call this RSI_Low.
* Calculate the maximum range which is the highest value of RSI_High in the last 200 periods minus the lowest value of RSI_Low in the last 200 periods. Let's call this Max_Range
* Define the range width. By default, it is set to 5%. Let's call this Threshold.
* The objective support is calculated as the sum of the RSI_Low + (Max_Range * Threshold).
* The objective resistance is calculated as the sum of the RSI_High - (Max_Range * Threshold).
The levels are used in the same way as the oversold and overbought levels. They are more dynamic as they take into account the fluctuations of the RSI so you might see at some point in time a support at 20 and at another at 35.
3 Bank IndexSpeaking on the reason for Bank Nifty hitting record high, Saurabh Jain, AVP — Research at SMC Global Securities said, "Reason for a rally in Bank Nifty can be attributed to three major reasons — hawkish interest rate regime making overseas lending dearer for big corporates in comparison to Indian lenders, rising interest rate expected to improve margins of Indian banks and lowering of provisioning strengthening the balance sheet of banking institutions. Today, the incremental credit ratio of Indian banks is more than 100 which is also attracting buying interest among Dalal Street bulls."
On Bank Nifty's current chart pattern, Sumeet Bagadia, Executive Director at Choice Broking said, "Bank Nifty has made a higher high higher low pattern on the chart that signals continuous uptrend in the index. The immediate target for the Bank Nifty index is 44,000 but once it gives closing above 44,000, we can expect more upside in the index."
Relative Strength Index by MI7TOP LINE : SELL
BOTTOM : BUY
RED LINE unbelievable SELL OR BUY
YELLOW LINE excellent SELL OR BUY
Green Line good SELL OR BUY
Heikin Ashi of Candle RSIThis is indicator plot Heikin Ashi of chart with RSI data
You can use this indicator like normal RSI with divergence or cross overbought oversold level
It can help you find pivot better and have better visual of market conditions when market overbought or oversold
