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Göreceli Güç Endeksi (RSI)

switches [experimental / tools]This scripts shows a tool which enables switching between settings without opening the settings In this case you can switch between a RSI of 3 different tickers, 3 different higher timeframes, and 4 different lengths. How does it work? The position of a 'time line' is compared with the position of a box. Changing the position of the line changes the settings. The settings need to be set upfront though, if you want to switch between length 7, 10, 14, 21 they need to be set first. Example: One wants to switch between RSI of SOLUSDT, ADAUSDT and FILUSDT First set your tickers -> Settings -> Set 1 -> Ticker Then tap/click and move the line And there you go! The same with Timeframe and Length Important: It is not possible to automatically set the boxes/line at current time, so these (settings -> date at Box, Line) need to be set in the beginning Cheers!
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fikira tarafından
12
TTP RSI drawdownThis indicator offers a way to trade the RSI drawdown combined together with its value. Parameters - Lookback. How many candles in the past are used to calculate the drawdown of the RSI - RSI strength and timeframe - Lower and Upper RSI limits. These are used to colour the drawdown chart, the greener the closed to your specified lower limit and the more red the closer to the upper limit. These limits are also used to confirm that the signal occurs with an RSI value within the given limits. - Signal threshold. Buy signals will only be triggered when the drawdown of the RSI is higher than the provided value. Buy signals The signal will trigger in white color and will plot a 1 to allow backtesting. TradingView alerts can be set for buy signals. Buy signals will be trigger only when: - RSI value is within the provided lower and upper limit values - RSI drawdown is higher than the provided threshold. Features - Back-testable (plots 1 for buy) - TV alerts Chart modes - show RSI - show highest RSI - show RSI drawdown In the short time I've been playing with this new idea I noticed it can be used both for swing trading and for long term analysis like for example finding market bottoms. Here's an example setup to find BTC past market cycle bottoms: - load a chart with INDEX:BTCUSD - set the chart timeframe to daily - set the chart to logarithmic scale - zoom out to see the full chart - add the RSI drawdown indicator - use the following parameters in the indicator: timeframe: week, gaps: off, show RSI drawdown: on, lookback:30, length:14, lower: 20, upper: 30: threshold: 40
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TheTradingParrot tarafından
1
RSI Potential Divergence - FontiramisuIndicator showing potential momentum divergences on RSI Momentum. The problem with the classic divergence is that when the signal appears, it is sometimes too late to enter a trade. The potential divergence corrects this problem by signaling the beginning of a potential divergence. RSI is a momentum indicator that offers relevant insights with divergences. Potential divergences are indicated with the letter B and a red color for Bearish Div or Green color for Bullish Div . Potential divergence is confirmed when the line and the label "Bear"' or "Bull" appear.
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Fontiramisu tarafından
1
RSI Candles - Appa SoTradition RSI just shows the line as an indicator when the price candle is changed. So Indicator hasn't been able to offer open price RSI and close price at once. Rsi candles can make the user be able to see RSI open and close price is changed simultaneously with Candle form. RSI 캔들 형태로 표현하여 open 가격과 close 가격의 RSI 데이타를 동시에 볼 수 있게 표현 하였습니다. - 제작: 압력밥소
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popularChart52633 tarafından
Ultimate RSI With Some Spices★彡 𝓤𝓵𝓽𝓲𝓶𝓪𝓽𝓮 𝓡𝓢𝓘 𝓦𝓲𝓽𝓱 𝓢𝓸𝓶𝓮 𝓢𝓹𝓲𝓬𝓮𝓼 彡★ * Hi everybody here's the ★彡 𝓤𝓵𝓽𝓲𝓶𝓪𝓽𝓮 𝓡𝓢𝓘 𝓦𝓲𝓽𝓱 𝓢𝓸𝓶𝓮 𝓢𝓹𝓲𝓬𝓮𝓼 彡★ indicator and how to use it : 彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡彡 First we have that red : green {RSI EMA Line}line in the indicator which show the current symbol situation \ 𝐒𝐢𝐦𝐩𝐥𝐲 : 𝐢𝐟 𝐭𝐡𝐞 𝐥𝐢𝐧𝐞 𝐜𝐥𝐨𝐬𝐞 𝐰𝐢𝐭𝐡 𝐠𝐫𝐞𝐞𝐧 𝐜𝐨𝐥𝐨𝐫 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐨𝐩𝐞𝐧 𝐚 𝐥𝐨𝐧𝐠 𝐭𝐫𝐚𝐝𝐞 𝐚𝐧𝐝 𝐞𝐱𝐢𝐭 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞 𝐫𝐞𝐝 𝐜𝐨𝐥𝐨𝐫 𝐚𝐩𝐩𝐞𝐚𝐫𝐬 I𝐧 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐭𝐢𝐦𝐞 𝐰𝐞 𝐡𝐚𝐯𝐞 𝐨𝐭𝐡𝐞𝐫 𝐭𝐡𝐢𝐧𝐠𝐬 𝐭𝐨 𝐮𝐬𝐞 𝐰𝐢𝐭𝐡 𝐭𝐡𝐚𝐭 𝐰𝐨𝐮𝐥𝐝 𝐡𝐞𝐥𝐩 𝐮𝐬 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐚 𝐠𝐨𝐨𝐝 𝐨𝐫𝐝𝐞𝐫 Like The 𝐂𝐲𝐜𝐥𝐞𝐫 𝐬𝐢𝐭𝐮𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐟𝐢𝐛𝐨𝐧𝐚𝐜𝐜𝐢 𝐥𝐞𝐯𝐞𝐥𝐬 We have the 𝐧𝐞𝐱𝐭 𝐟𝐢𝐛𝐨𝐧𝐚𝐜𝐜𝐢 𝐥𝐞𝐯𝐞𝐥𝐬 𝟐𝟎 ,𝟑𝟎 ,𝟓𝟎 ,𝟔𝟏.𝟖 ,𝟖𝟎 { 61.8 𝐢𝐬 𝐭𝐡𝐞 𝐭𝐡𝐞 𝐟𝐢𝐛𝐨𝐧𝐚𝐜𝐜𝐢 𝐠𝐨𝐥𝐝𝐞𝐧 𝐫𝐚𝐭𝐢𝐨 } About The 𝐂𝐲𝐜𝐥𝐞𝐫 you can use it to know where is the current symbol go { UP : Green ,| Down : Red ,| White : Where the symbol movement is in a slight fluctuation without any significant up or down } ░▒▓█ 𝐍𝐨𝐭𝐞 : 𝐓𝐡𝐞 𝐂𝐲𝐜𝐥𝐞𝐫 𝐥𝐢𝐧𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐟𝐢𝐛𝐨𝐧𝐚𝐜𝐜𝐢 𝐥𝐞𝐯𝐞𝐥 ' 𝐫𝐚𝐭𝐢𝐨 𝟓𝟎 ' █▓▒░ 𝐡𝐞𝐫𝐞'𝐬 𝐚 𝐟𝐚𝐬𝐭 𝐩𝐡𝐨𝐭𝐨 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐰 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 When the RSI EMA Line reach the purple 𝐟𝐢𝐛𝐨𝐧𝐚𝐜𝐜𝐢 level its a very good entry point where the RSI is over sold and ready to g oup again When the RSI EMA Line reach the Golden 𝐟𝐢𝐛𝐨𝐧𝐚𝐜𝐜𝐢 level its a very important area in the line crossover it then it's a very amazing entry time but if the RSI EMA line crossunder this line then the price w'll drop down ❤❤❤❤ 𝐟𝐢𝐧𝐚𝐥𝐥𝐲 𝐇𝐚𝐯𝐞 𝐚 𝐠𝐨𝐨𝐝 𝐭𝐢𝐦𝐞 ❤❤❤❤
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mohx_404 tarafından
15
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.
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wbburgin tarafından
1
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!!
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sauravraj3sinha tarafından
11
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.
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KioseffTrading tarafından
11
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
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WS_TradingFactory tarafından
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
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loxx tarafından
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
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loxx tarafından
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
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loxx tarafından
2
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.
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All_Verklempt tarafından
2
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
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loxx tarafından
3
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.
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EsIstTurnt tarafından
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.
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TheTradingParrot tarafından
2