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ema based pseudo RSI - JDIf you reverse engineer the "50-level" of the 14 period rsi, you end up with almost exactly the 27 period ema So to calculate the rsi, you can 'reverse engineer' the 'reverse engineered rsi'. This can be done by taking the distance between the current price and the "50-level ema" you can then normalise this by dividing with the atr or the st dev to end up with a chart that's almost exactly like the rsi line As OB/OS levele, a multiplier of the atr or st dev can be used one application for this is to quickly refer to MTF rsi levels by multiplying th 27 ema value with the timeframe multiplier as it turns out, I discovered that the ema's with multiples of 27 as a period align with the 50-level line of the rsi of all the corresponding timeframes. Enjoy! JD. #NotTradingAdvice #DYOR
Pine Script® indicator
by Duyck
2
BTC 1D Alerts V1This script contains a variety of key indicator for bitcoin all-in-one and they can be activated individually in the menu. These are meant to be used on the 1D chart for Bitcoin. 1457 Day Moving Average: the bottom of the bitcoin price and arguably the rock bottom price target. Ichimoku Cloud: a common useful indicator for bitcoin support and resistance. 350ma fibs (21 8 5 3 2 and 1.6) : Signify the tops of each logarthmic rise in bitcoin price. They are generally curving higher over the long term. For halvening #3, the predicted market crash would be after hitting the 350ma x3 fib. Also the 350 ma / 111 ma cross signifies bull market top within about 3 days as well. Using the combination of the 350ma fibs and the 350/111 crosses, reasonably identify when market top is about to occur. 50,120,200 ma: Common moving averages that bitcoin retests during bull market runs. Also, the 50/200 golden and death crosses. 1D EMA Superguppy Ribbons: green = bull market, gray is indeterminate, red = bear market. Very high specificity indicator of bull runs, especially for bitcoin. You can change to 3D candle for even more specificity for a bull market start. Use the 1W for even more specificity. 1D Superguppy is recommended for decisionmaking. 1W EMA21: a very good moving average programmed to be shown on both the daily and weekly candle time. Bitcoin commonly corrects to this repeatedly during past bull runs. Acts as support during bull run and resistance during a bear market. Steps to identifying a bull market: 1. 50/200 golden cross 2. 1D EMA superguppy green 3. 3D EMA superguppy green (if you prefer more certainty than step 2). 4. Hitting the 1W EMA21 and bouncing off during the bull run signifies corrections. Once a bull market is identified, Additional recommended buying and selling techniques: Indicators: - Fiblines - to determine retracements from peaks (such as all time high or recent highs) - Stochastic RSI - 1d, 3d, and 1W SRSI are great time to buy, especially the 1W SRSI which comes much less frequently. - volumen consolidado - for multi exchange volumes compiled into a single line. I prefer buying on the lowest volume days which generally coincide with dips. - MACD - somewhat dubious utility but many algorithms are programmed to buy or sell based on this. Check out the Alerts for golden crosses and 350ma Fib crosses which are invaluable for long term buying planning. I left this open source so that all the formulas can be understood and verified. Much of it hacked together from other sources but all indicators that are fundamental to bitcoin. I apologize in advance for not attributing all the articles and references... but then again I am making no money off of this anyway.
Pine Script® indicator
by Cephii
Fischy Bands (multiple periods)Just a quick way to have multiple periods. Coded at (14,50,100,200,400,600,800). Feel free to tweak it. Default is all on, obviously not as usable! Try just using 14, and 50. This was generated with javascript for easy templating. Source: ``` const periods = ; const generate = (period) => { const template = ` = bandFor(${period}) plot(b${period}, color=colorFor(${period}, b${period}), linewidth=${periods.indexOf(period)+1}, title="BB ${period} Basis", transp=show${period}TransparencyLine) pb${period}Upper = plot(b${period}Upper, color=colorFor(${period}, b${period}), linewidth=${periods.indexOf(period)+1}, title="BB ${period} Upper", transp=show${period}TransparencyLine) pb${period}Lower = plot(b${period}Lower, color=colorFor(${period}, b${period}), linewidth=${periods.indexOf(period)+1}, title="BB ${period} Lower", transp=show${period}TransparencyLine) fill(pb${period}Upper, pb${period}Lower, color=colorFor(${period}, b${period}), transp=show${period}TransparencyFill)` console.log(template); } console.log(`//@version=4 study(shorttitle="Fischy BB", title="Fischy Bands", overlay=true) stdm = input(1.25, title="stdev") bandFor(length) => src = hlc3 mult = stdm basis = sma(src, length) dev = mult * stdev(src, length) upper = basis + dev lower = basis - dev `); periods.forEach(e => console.log(`show${e} = input(title="Show ${e}?", type=input.bool, defval=true)`)); periods.forEach(e => console.log(`show${e}TransparencyLine = show${e} ? 20 : 100`)); periods.forEach(e => console.log(`show${e}TransparencyFill = show${e} ? 80 : 100`)); console.log('\n'); console.log(`colorFor(period, series) => c = period == 14 ? color.white : period == 50 ? color.aqua : period == 100 ? color.orange : period == 200 ? color.purple : period == 400 ? color.lime : period == 600 ? color.yellow : period == 800 ? color.orange : color.black c `); periods.forEach(e => generate(e)) ```
Pine Script® indicator
by MonadicDyad
Principe de NY - Rodrigo CohenIndicador criado baseado nas informações de fechamento de bollinger, seguindo o Setup Principe de NY sugerido pelo Analista Rodrigo Cohen, ainda em fase de testes para aprimorar a eficácia do setup *Considerado apenas Fechamento fora e nesta condição + 50 pontos para entrada sendo assim Fechamentos com Candles em Vermelho soma 50 pontos e entra vendido Fechamentos com Candles em Verde soma 50 pontos e entra comprado O setup pelo que percebi é composto de mais detalhes, aos quais quando tiver acesso realizarei as atualizações devidas Também estão disponíveis versões de indicadores para Forex Em breve posto a lista completa com os resultados no MQL5
Pine Script® indicator
by Leonardo_Ferreira
12
General Filter Estimator-An Experiment on Estimating EverythingIntroduction The last indicators i posted where about estimating the least squares moving average, the task of estimating a filter is a funny one because its always a challenge and it require to be really creative. After the last publication of the 1LC-LSMA , who estimate the lsma with 1 line of code and only 3 functions i felt like i could maybe make something more flexible and less complex with the ability to approximate any filter output. Its possible, but the methods to do so are not something that pinescript can do, we have to use another base for our estimation using coefficients, so i inspired myself from the alpha-beta filter and i started writing the code. Calculation and The Estimation Coefficients Simplicity is the key word, its also my signature style, if i want something good it should be simple enough, so my code look like that : p = length/beta a = close - nz(b ,close) b = nz(b ,close) + a/p*gamma 3 line, 2 function, its a good start, we could put everything in one line of code but its easier to see it this way. length control the smoothing amount of the filter, for any filter f(Period) Period should be equal to length and f(Period) = p , it would be inconvenient to have to use a different length period than the one used in the filter we want to estimate (imagine our estimation with length = 50 estimating an ema with period = 100) , this is where the first coefficients beta will be useful, it will allow us to leave length as it is. In general beta will be greater than 1, the greater it will be the less lag the filter will have, this coefficient will be useful to estimate low lagging filters, gamma however is the coefficient who will estimate lagging filters, in general it will range around . We can get loose easily with those coefficients estimation but i will leave a coefficients table in the code for estimating popular filters, and some comparison below. Estimating a Simple Moving Average Of course, the boxcar filter, the running mean, the simple moving average, its an easy filter to use and calculate. For an SMA use the following coefficients : beta = 2 gamma = 0.5 Our filter is in red and the moving average in white with both length at 50 (This goes for every comparison we will do) Its a bit imprecise but its a simple moving average, not the most interesting thing to estimate. Estimating an Exponential Moving Average The ema is a great filter because its length times more computing efficient than a simple moving average. For the EMA use the following coefficients : beta = 3 gamma = 0.4 N.B : The EMA is rougher than the SMA, so it filter less, this is why its faster and closer to the price Estimating The Hull Moving Average Its a good filter for technical analysis with tons of use, lets try to estimate it ! For the HMA use the following coefficients : beta = 4 gamma = 0.85 Looks ok, of course if you find better coefficients i will test them and actualize the coefficient table, i will also put a thank message. Estimating a LSMA Of course i was gonna estimate it, but this time this estimation does not have anything a lsma have, no moving average, no standard deviation, no correlation coefficient, lets do it. For the LSMA use the following coefficients : beta = 3.5 gamma = 0.9 Its far from being the best estimation, but its more efficient than any other i previously made. Estimating the Quadratic Least Square Moving Average I doubted about this one but it can be approximated as well. For the QLSMA use the following coefficients : beta = 5.25 gamma = 1 Another ok estimate, the estimate filter a bit more than needed but its ok. Jurik Moving Average Its far from being a filter that i like and its a bit old. For the comparison i will use the JMA provided by @everget described in this article : c.mql5.com For the JMA use the following coefficients : for phase = 0 beta = pow*2 (pow is a parameter in the Jma) gamma = 0.5 Here length = 50, phase = 0, pow = 5 so beta = 10 Looks pretty good considering the fact that the Jma use an adaptive architecture. Discussion I let you the task to judge if the estimation is good or not, my motivation was to estimate such filters using the less amount of calculations as possible, in itself i think that the code is quite elegant like all the codes of IIR filters (IIR Filters = Infinite Impulse Response : Filters using recursion) . It could be possible to have a better estimate of the coefficients using optimization methods like the gradient descent. This is not feasible in pinescript but i could think about it using python or R. Coefficients should be dependant of length but this would lead to a massive work, the variation of the estimation using fixed coefficients when using different length periods is just ok if we can allow some errors of precision. I dont think it should be possible to estimate adaptive filter relying a lot on their adaptive parameter/smoothing constant except by making our coefficients adaptive (gamma could be) So at the end ? What make a filter truly unique ? From my point of sight the architecture of a filter and the problem he is trying to solve is what make him unique rather than its output result. If you become a signal, hide yourself into noise, then look at the filters trying to find you, what a challenging game, this is why we need filters. Conclusion I wanted to give a simple filter estimator relying on two coefficients in order to estimate both lagging and low-lagging filters. I will try to give more precise estimate and update the indicator with new coefficients. Thanks for reading !
Pine Script® indicator
by alexgrover
11
Reverse Engineered RSI - Key Levels + MTFThis indicator overlays 5 Reverse Engineered RSI (RERSI) levels on your main chart window. The RERSI was first developed by Giorgos Siligardos in the June 2003 issue of Stocks and Commodities Magazine. HPotter provided the initial implementation - from which this script is derived - so all credit to them (see: ). In simple terms, RERSI plots lines on the price chart that reflect levels of the RSI . E.g. if you set up a RERSI line at a level of 50, then price will touch that line when the standard RSI indicator reads 50. Hopefully that makes sense, but compare the two if it doesn't. Why is the RERSI useful if it's just plotting RSI values? Well, it simplifies things, and enables you to get a clearer picture of trend direction, RSI support and resistance levels, RSI trading signals, and it keeps your chart window uncluttered. I've set up 5 RERSI lines to be plotted: Overbought and Oversold Levels, a Middle Level (generally leave this at 50), and then Down/Up Trend Lines. The latter two are loosely based on the work of Constance Brown (and they in turn were influenced by Andrew Brown), who posited that RSI doesn't breach certain levels during trends (e.g. 40-50 is often a support level during an uptrend). Play around with the levels, and the RSI Length, to see how your particular market reacts, and where key levels may lie. Remember, this isn't meant as a stand-alone system (although I think there's potential to use it as such, especially with price action trading - which I guess wouldn't make it stand-alone then!!), and works best with confirmation from other sources. Oh, and there's MTF capability, because I think that's useful for all indicators. Any queries, please let me know. Cheers, RJR
Pine Script® indicator
by DreamsDefined
10
Better RSI with bullish / bearish market cycle indicator This script improves the default RSI. First. it identifies regions of the RSI which are oversold and overbought by changing the color of RSI from white to red. Second, it adds additional reference lines at 20,40,50,60, and 80 to better gauge the RSI value. Finally, the coolest feature, the middle 50 line is used to indicate which cycle the price is currently at. A green color at the 50 line indicates a bullish cycle, a red color indicators a bearish cycle, and a white color indicates a neutral cycle. The cycles are determined using the RSI as follows: if RSI is overbought, cycle switches to bullish until RSI falls below 40, at which point it becomes neutral if RSI is oversold, cycle switches bearish until RSI rises above 60, at which point it becomes neutral a neutral cycle is exited at either overbought or oversold conditions Very useful, please give it a try and let me know what you think
Pine Script® indicator
by TradeCalmly
18
ACM22 not repaintedДелал данный скрипт для FORTS.Идеально подойдет тем,кто использует трейлинг стопы.В основе стратегии лежит RSI.Как по мне,хорошая вещь для проверки стратегии и ее оптимизиации.На скрине 50 контрактов,так что не сильно радуйтесь,а просто делите на 50 и получите показатели на 1 контракт. Script make for futures on MICEX.U can change paramets of RSI,traling stop and stop loss .On a ps 50 futures USDollar-russian ruble.Use for testing and optimisation.
Pine Script® strategy
by BORSEMANN
4
Inertia Indicator The inertia indicator measures the market, stock or currency pair momentum and trend by measuring the security smoothed RVI (Relative Volatility Index). The RVI is a technical indicator that estimates the general direction of the volatility of an asset. The inertia indicator returns a value that is comprised between 0 and 100. Positive inertia occurs when the indicator value is higher than 50. As long as the inertia value is above 50, the long-term trend of the security is up. The inertia is negative when its value is lower than 50, in this case the long-term trend is down and should stay down if the inertia stays below 50
Pine Script® indicator
by HPotter
GC RSI Columns V2016This is a basic RSI indicator but in column format.I had been using this for a while and it gives a nice visual representation of trend change by changing color of the column. Base line is 50 level. Anything above 50 is buy opportunity and below 50 is sell opportunity . Try it on higher time frames and see the results. Example on chart above. Note: i published it on demand. many folks were asking me for this ,since it(column rsi) was not available in public indicators
Pine Script® indicator
by GcNaif
9
Golden Cross, SMA 200 Moving Average Strategy (by ChartArt)This famous moving average strategy is very easy to follow to decide when to buy (go long) and when to take profit. The strategy goes long when the faster SMA 50 (the simple moving average of the last 50 bars) crosses above the slower SMA 200. Orders are closed when the SMA 50 crosses below the SMA 200. This simple strategy does not have any other stop loss or take profit money management logic. The strategy does not short and goes long only! Here is an article explaining the "golden cross" strategy in more detail: www.stockopedia.com On the S&P 500 index (symbol "SPX") this strategy worked on the daily chart 81% since price data is available since 1982. And on the DOW Jones Industrial Average (symbol "DOWI") this strategy worked on the daily chart 55% since price data is available since 1916. The low number of trades is in both cases not statistically significant though. All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Pine Script® strategy
by ChartArt
25
Forex Master v4.0 (EUR/USD Mean-Reversion Algorithm)DESCRIPTION Forex Master v4.0 is a mean-reversion algorithm currently optimized for trading the EUR/USD pair on the 5M chart interval. All indicator inputs use the period's closing price and all trades are executed at the open of the period following the period where the trade signal was generated. There are 3 main components that make up Forex Master v4.0: I. Trend Filter The algorithm uses a version of the ADX indicator as a trend filter to trade only in certain time periods where price is more likely to be range-bound (i.e., mean-reverting). This indicator is composed of a Fast ADX and a Slow ADX, both using the same look-back period of 50. However, the Fast ADX is smoothed with a 6-period EMA and the Slow ADX is smoothed with a 12-period EMA. When the Fast ADX is above the Slow ADX, the algorithm does not trade because this indicates that price is likelier to trend, which is bad for a mean-reversion system. Conversely, when the Fast ADX is below the Slow ADX, price is likelier to be ranging so this is the only time when the algorithm is allowed to trade. II. Bollinger Bands When allowed to trade by the Trend Filter, the algorithm uses the Bollinger Bands indicator to enter long and short positions. The Bolliger Bands indicator has a look-back period of 20 and a standard deviation of 1.5 for both upper and lower bands. When price crosses over the lower band, a Long Signal is generated and a long position is entered. When price crosses under the upper band, a Short Signal is generated and a short position is entered. III. Money Management Rule 1 - Each trade will use a limit order for a fixed quantity of 50,000 contracts (0.50 lot). The only exception is Rule Rule 2 - Order pyramiding is enabled and up to 10 consecutive orders of the same signal can be executed (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts). Rule 3 - Every order will include a bracket with both TP and SL set at 50 pips (note: the algorithm only closes the current open position and does not enter the opposite trade once a TP or SL has been hit). Rule 4 - When a new opposite trade signal is generated, the algorithm sends in a larger order to close the current open position as well as open a new one (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts. A Short Signal is generated shortly after the 14th Long Signal. The algorithm then sends in a sell order for 400,000 contracts to close the 350,000 contracts long position and open a new short position of 50,000 contracts).
Pine Script® strategy
by Stable_Camel
16
High-Low Index [LazyBear]-- Fixed --- Source: pastebin.com Fixes an issue with "Combined" mode, using wrong symbols. --- Original --- The High-Low Index is a breadth indicator based on Record High Percent, which is based on new 52-week highs and new 52-week lows. Readings below 50 indicate that there were more new lows than new highs. Readings above 50 indicate that there were more new highs than new lows. 0 indicates there were zero new highs (0% new highs). 100 indicates there was at least 1 new high and no new lows (100% new highs). 50 indicates that new highs and new lows were equal (50% new highs). Readings consistently above 70 usually coincide with a strong uptrend. Readings consistently below 30 usually coincide with a strong downtrend. More info: stockcharts.com List of my public indicators: bit.ly List of my app-store indicators: blog.tradingview.com Just noticed @Greeny has already published this -> Linking it here.
Pine Script® indicator
by LazyBear
15
TimWest Long Short FiltersTimWest Long Short Filters Indicator Has 3 Separate Filters that Create Green(Bullish) or Red(Bearish) BackGround Highlights If Price is Above or Below a certain LookBack Period - Tim Defaults to 63 on Daily Chart to Quickly View if Price is Above or Below it’s Price 1 Quarter Ago. A Simple Moving Average Filter - Tim Defaults to 50 SMA and 200 SMA also known as the “Golden Cross”. A Exponential Moving Average Filter - For Those Who Want To View Shorter Term Market Swings. Defaults to 50 EMA and 100 EMA used By Chuck Hughes, 7 Time World Trading Champion. Chuck Claims the 50/100 EMA's Show the Earliest Change in Market Direction the Equal - Sustainable Moves Inputs Tab has Checkboxes to Turn On/Off any of the 3 Filters Above. Reference Chart Post www.tradingview.com
Pine Script® indicator
by ChrisMoody
9
3 projection Indicators - PBands, PO & PBAll these indicators are by Mel Widner. Projection Bands : ------------------------------------------------------- These project market data along the trend with the maxima and minima of the projections defining the band. The method provides a way to signal potential direction changes relative to the trend. Usage is like any other trading band. Projection Oscillator : ------------------------------------------------------- This indicates the relative position of price with in the bands. It fluctuates between the values 0 to 100. You can configure the "basis" to make it oscillate around a specific value (for ex., basis=50 will make it oscillate between +50 and -50). EMA of PO (length configurable, default is 5) is plotted as a signal line. There is also an option to plot the difference (oscillator - signal), just like MACD histogram. When you see a divergence in this oscillator, remember that it just indicates a potential movement with in the band (for ex., a bullish divergence shown may cause the price to cross the median and move up to the top band). Projection Bandwidth : ------------------------------------------------------- This shows the % width of the projection bands. A trend reversal is signaled by a high value. Low value may indicate the start of a new trend. This is also a trend strength indicator. More info: drive.google.com Borrowed the color theme for this chart from @liw0. Thanks :)
Pine Script® indicator
by LazyBear
9
Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide Table of Contents 1. Overview 2. Indicator Components 3. Signal Interpretation 4. Live Market Analysis Guide 5. Best Practices 6. Limitations and Considerations 7. Risk Disclaimer ________________________________________ Overview The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities. Key Features: • Multi-Indicator Analysis: Combines 20+ technical indicators • Real-Time Dashboard: Professional interface with customizable display • Signal Aggregation: Weighted scoring system for overall market sentiment • Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis • Visual Progress Indicators: Easy-to-read progress bars for signal strength ________________________________________ Indicator Components 1. Oscillators Section Purpose: Identifies overbought/oversold conditions and momentum changes Included Indicators: • RSI (14): Relative Strength Index - momentum oscillator • Stochastic (14): Compares closing price to price range • CCI (20): Commodity Channel Index - cycle identification • Williams %R (14): Momentum indicator similar to Stochastic • MACD (12,26,9): Moving Average Convergence Divergence • Momentum (10): Rate of price change • ROC (9): Rate of Change • Bollinger Bands (20,2): Volatility-based indicator Signal Interpretation: • Strong Buy (6+ points): Multiple oscillators indicate oversold conditions • Buy (2-5 points): Moderate bullish momentum • Neutral (-1 to 1 points): Balanced conditions • Sell (-2 to -5 points): Moderate bearish momentum • Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions 2. Moving Averages Section Purpose: Determines trend direction and strength Included Indicators: • SMA: 10, 20, 50, 100, 200 periods • EMA: 10, 20, 50 periods Signal Logic: • Price >2% above MA = Strong Buy (+2) • Price above MA = Buy (+1) • Price below MA = Sell (-1) • Price >2% below MA = Strong Sell (-2) Signal Interpretation: • Strong Buy (6+ points): Price well above multiple MAs, strong uptrend • Buy (2-5 points): Price above most MAs, bullish trend • Neutral (-1 to 1 points): Mixed MA signals, consolidation • Sell (-2 to -5 points): Price below most MAs, bearish trend • Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend 3. Order Block Analysis Purpose: Identifies institutional support/resistance levels and breakouts How It Works: • Detects historical levels where large orders were placed • Monitors price behavior around these levels • Identifies breakouts from established order blocks Signal Types: • BULLISH BRK (+2): Breakout above resistance order block • BEARISH BRK (-2): Breakdown below support order block • ABOVE SUP (+1): Price holding above support • BELOW RES (-1): Price rejected at resistance • NEUTRAL (0): No significant order block interaction 4. Supertrend Analysis Purpose: Trend following indicator based on Average True Range Parameters: • ATR Period: 10 (default) • ATR Multiplier: 6.0 (default) Signal Types: • BULLISH (+2): Price above Supertrend line • BEARISH (-2): Price below Supertrend line • NEUTRAL (0): Transition period 5. Trendline/Channel Analysis Purpose: Identifies trend channels and breakout patterns Components: • Dynamic trendline calculation using pivot points • Channel width based on historical volatility • Breakout detection algorithm Signal Types: • UPPER BRK (+2): Breakout above upper channel • LOWER BRK (-2): Breakdown below lower channel • ABOVE MID (+1): Price above channel midline • BELOW MID (-1): Price below channel midline 6. Volume Analysis Purpose: Confirms price movements with volume data Components: • Volume spikes detection • On Balance Volume (OBV) • Volume Price Trend (VPT) • Money Flow Index (MFI) • Accumulation/Distribution Line Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements. ________________________________________ Signal Interpretation Overall Summary Signals The indicator aggregates all component signals into an overall market sentiment: Signal Score Range Interpretation Action STRONG BUY 10+ Overwhelming bullish consensus Consider long positions BUY 4-9 Moderate to strong bullish bias Look for long opportunities NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities STRONG SELL -10+ Overwhelming bearish consensus Consider short positions Progress Bar Interpretation • Filled bars indicate signal strength • Green bars: Bullish signals • Red bars: Bearish signals • More filled bars = stronger conviction ________________________________________ Live Market Analysis Guide Step 1: Initial Assessment 1. Check Overall Summary: Start with the main signal 2. Verify with Component Analysis: Ensure signals align 3. Look for Divergences: Identify conflicting signals Step 2: Timeframe Analysis 1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading 2. Multi-Timeframe Confirmation: Check higher timeframes for trend context 3. Entry Timing: Use lower timeframes for precise entry points Step 3: Signal Confirmation Process For Buy Signals: 1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20) 2. Moving Averages: Price should be above key MAs 3. Order Blocks: Confirm bounce from support levels 4. Volume: Check for accumulation patterns 5. Supertrend: Ensure bullish trend alignment For Sell Signals: 1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80) 2. Moving Averages: Price should be below key MAs 3. Order Blocks: Confirm rejection at resistance levels 4. Volume: Check for distribution patterns 5. Supertrend: Ensure bearish trend alignment Step 4: Risk Management Integration 1. Signal Strength Assessment: Stronger signals = larger position size 2. Stop Loss Placement: Use Order Block levels for stops 3. Take Profit Targets: Based on channel analysis and resistance levels 4. Position Sizing: Adjust based on signal confidence ________________________________________ Best Practices Entry Strategies 1. High Conviction Entries: Wait for STRONG BUY/SELL signals 2. Confluence Trading: Look for multiple components aligning 3. Breakout Trading: Use Order Block and Trendline breakouts 4. Trend Following: Align with Supertrend direction Risk Management 1. Never Risk More Than 2% Per Trade: Regardless of signal strength 2. Use Stop Losses: Place at invalidation levels 3. Scale Positions: Stronger signals warrant larger (but still controlled) positions 4. Diversification: Don't rely solely on one indicator Market Conditions 1. Trending Markets: Focus on Supertrend and MA signals 2. Range-Bound Markets: Emphasize Oscillator and Order Block signals 3. High Volatility: Reduce position sizes, widen stops 4. Low Volume: Be cautious of breakout signals Common Mistakes to Avoid 1. Signal Chasing: Don't enter after signals have already moved significantly 2. Ignoring Context: Consider overall market conditions 3. Overtrading: Wait for high-quality setups 4. Poor Risk Management: Always use appropriate position sizing ________________________________________ Limitations and Considerations Technical Limitations 1. Lagging Nature: All technical indicators are based on historical data 2. False Signals: No indicator is 100% accurate 3. Market Regime Changes: Indicators may perform differently in various market conditions 4. Whipsaws: Possible in choppy, sideways markets Optimal Use Cases 1. Trending Markets: Performs best in clear trending environments 2. Medium to High Volatility: Requires sufficient price movement for signals 3. Liquid Markets: Works best with adequate volume and tight spreads 4. Multiple Timeframe Analysis: Most effective when used across different timeframes When to Use Caution 1. Major News Events: Fundamental analysis may override technical signals 2. Market Opens/Closes: Higher volatility can create false signals 3. Low Volume Periods: Signals may be less reliable 4. Holiday Trading: Reduced participation affects signal quality ________________________________________ Risk Disclaimer IMPORTANT LEGAL DISCLAIMER FROM aiTrendview WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms: No Investment Advice • The Indicator does NOT constitute investment advice, financial advice, or trading recommendations • All signals generated are based on historical price data and mathematical calculations • Past performance does not guarantee future results • No representation is made that any account will achieve profits or losses similar to those shown Risk Acknowledgment • TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital • LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment • MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile • TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades User Responsibility • YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences • CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions • CONSULT PROFESSIONALS: Seek advice from qualified financial advisors • RISK MANAGEMENT: Implement appropriate risk management strategies No Warranties • The Indicator is provided "AS IS" without warranties of any kind • aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator • Technical glitches, data feed issues, or calculation errors may occur • The Indicator may not work as expected in all market conditions Limitation of Liability • aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages • This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures • MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any) Code Usage and Distribution • This indicator is published on TradingView in accordance with TradingView's house rules • UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited • Users may not claim ownership of this intellectual property • Commercial use requires explicit written permission from aiTrendview Compliance and Regulations • VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws • Some trading strategies may not be suitable for all investors • Tax implications of trading are your responsibility • Report trading activities as required by law Specific Risk Factors 1. False Signals: The Indicator may generate incorrect buy/sell signals 2. Market Gaps: Overnight gaps can invalidate technical analysis 3. Fundamental Events: News and economic data can override technical signals 4. Liquidity Risk: Some markets may have insufficient liquidity 5. Technology Risk: Platform failures or connectivity issues may prevent order execution Professional Trading Warning • THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading • NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority • EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts FINAL WARNING NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading: 1. Practice on paper/demo accounts extensively 2. Start with small position sizes 3. Develop a comprehensive trading plan 4. Implement strict risk management rules 5. Continuously educate yourself about market dynamics By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes. Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only. ________________________________________ This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator. Document Version: 1.0 Last Updated: September 2025 Publisher: aiTrendview ________________________________________ Disclaimer from aiTrendview.com The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Pine Script® indicator
by aiTrendview-Charting-System
PulseMA Oscillator Normalized v2█ OVERVIEW PulseMA Oscillator Normalized v2 is a technical indicator designed for the TradingView platform, assisting traders in identifying potential trend reversal points based on price dynamics derived from moving averages. The indicator is normalized for easier interpretation across various market conditions, and its visual presentation with gradients and signals facilitates quick decision-making. █ CONCEPTS The core idea of the indicator is to analyze trend dynamics by calculating an oscillator based on a moving average (EMA), which is then normalized and smoothed. It provides insights into trend strength, overbought/oversold levels, and reversal signals, enhanced by gradient visualizations. Why use it? Identifying reversal points: The indicator detects overbought and oversold levels, generating buy/sell signals at their crossovers. Price dynamics analysis: Based on moving averages, it measures how long the price stays above or below the EMA, incorporating trend slope. Visual clarity: Gradients, fills, and colored lines enable quick chart analysis. Flexibility: Configurable parameters, such as moving average lengths or normalization period, allow adaptation to various strategies and markets. How it works? Trend detection: Calculates a base exponential moving average (EMA with PulseMA Length) and measures how long the price stays above or below it, multiplied by the slope for the oscillator. Normalization: The oscillator is normalized based on the minimum and maximum values over a lookback period (default 150 bars), scaling it to a range from -100 to 100: (oscillator - min) / (max - min) * 200 - 100. This ensures values are comparable across different instruments and timeframes. Smoothing: The main line (PulseMA) is the normalized oscillator (oscillatorNorm). The PulseMA MA line is a smoothed version of PulseMA, calculated using an SMA with the PulseMA MA length. As PulseMA MA is smoothed, it reacts more slowly and can be used as a noise filter. Signals: Generates buy signals when crossing the oversold level upward and sell signals when crossing the overbought level downward. Signals are stronger when PulseMA MA is in the overbought or oversold zone (exceeding the respective thresholds for PulseMA MA). Visualization: Draws lines with gradients for PulseMA and PulseMA MA, levels with gradients, gradient fill to the zero line, and signals as triangles. Alerts: Built-in alerts for buy and sell signals. Settings and customization PulseMA Length: Length of the base EMA (default 20). PulseMA MA: Length of the SMA for smoothing PulseMA MA (default 20). Normalization Lookback Period: Normalization period (default 150, minimum 10). Overbought/Oversold Levels: Levels for the main line (default 100/-100) and thresholds for PulseMA MA, indicating zones where PulseMA MA exceeds set values (default 50/-50). Colors and gradients: Customize colors for lines, gradients, and levels; options to enable/disable gradients and fills. Visualizations: Show PulseMA MA, gradients for overbought/oversold/zero levels, and fills. █ OTHER SECTIONS Usage examples Trend analysis: Observe PulseMA above 0 for an uptrend or below 0 for a downtrend. Use different values for PulseMA Length and PulseMA MA to gain a clearer trend picture. PulseMA MA, being smoothed, reacts more slowly and can serve as a noise filter to confirm trend direction. Reversal signals: Look for buy triangles when PulseMA crosses the oversold level, especially when PulseMA MA is in the oversold zone. Similarly, look for sell triangles when crossing the overbought level with PulseMA MA in the overbought zone. Such confirmation increases signal reliability. Customization: Test different values for PulseMA Length and PulseMA MA on a given instrument and timeframe to minimize false signals and tailor the indicator to market specifics. Notes for users Combine with other tools, such as support/resistance levels or other oscillators, for greater accuracy. Test different settings for PulseMA Length and PulseMA MA on the chosen instrument and timeframe to find optimal values.
Pine Script® indicator
by Uncle_the_shooter
ZLEMA Trend Index 2.0ZTI — ZLEMA Trend Index 2.0 (0–1000) Overview Price Mapped ZTI v2.0 - Enhanced Zero-Lag Trend Index. This indicator is a significant upgrade to the original ZTI v1.0, featuring enhanced resolution from 0-100 to 0-1000 levels for dramatically improved price action accuracy. The Price Mapped ZTI uses direct price-to-level mapping to eliminate statistical noise and provide true proportional representation of market movements. Key Innovation: Instead of statistical normalization, this version maps current price position within a user-defined lookback period directly to the ZTI scale, ensuring perfect correlation with actual price movements. I believe this is the best way to capture trends instead of directly on the charts using a plethora of indicators which introduces bad signals resulting in drawdowns. The RSI-like ZTI overbought and oversold lines filter valid trends by slicing through the current trading zone. Unlike RSI that can introduce false signals, the ZTI levels 1 to 1000 is faithfully mapped to the lowest to highest price in the current trading zone (lookback period in days) which can be changed in the settings. The ZTI line will never go off the beyond the ZTI levels in case of extreme trend continuation as the trading zone is constantly updated to reflect only the most recent bars based on lookback days. Core Features ✅ 10x Higher Resolution - 0-1000 scale provides granular movement detection ✅ Adjustable Trading Zone - Customizable lookback period from 1-50 days ✅ Price-Proportional Mapping - Direct correlation between price position and ZTI level ✅ Zero Statistical Lag - No rolling averages or standard deviation calculations ✅ Multi-Strategy Adaptability - Single parameter adjustment for different trading styles Trading Zone Optimization 📊 Lookback Period Strategies Short-term (1-3 days): Ultra-responsive to recent price action Perfect for scalping and day trading Tight range produces more sensitive signals Medium-term (7-14 days): Balanced view of recent trading range Ideal for swing trading Captures meaningful support/resistance levels Long-term (21-30 days): Broader market context Excellent for position trading Smooths out short-term market noise ⚡ Market Condition Adaptation Volatile Markets: Use shorter lookback (3-5 days) for tighter ranges Trending Markets: Use longer lookback (14-21 days) for broader context Ranging Markets: Use medium lookback (7-10 days) for clear boundaries 🎯 Timeframe Optimization 1-minute charts: 1-2 day lookback 5-minute charts: 2-5 day lookback Hourly charts: 7-14 day lookback Daily charts: 21-50 day lookback Trading Applications Scalping Setup (2-day lookback): Super tight range for quick reversals ZTI 800+ = immediate short opportunity ZTI 200- = immediate long opportunity Swing Trading Setup (10-day lookback): Meaningful swing levels captured ZTI extremes = high-probability reversal zones More stable signals, reduced whipsaws Advanced Usage 🔧 Real-Time Adaptability Trending days: Increase to 14+ days for broader perspective Range-bound days: Decrease to 3 days for tighter signals High volatility: Shorter lookback for responsiveness Low volatility: Longer lookback to avoid false signals 💡 Multi-Timeframe Approach Entry signals: Use 7-day ZTI on main timeframe Trend confirmation: Use 21-day ZTI on higher timeframe Exit timing: Use 3-day ZTI for precise exits 🌐 Session Optimization Asian session: Shorter lookback (3-5 days) for range-bound conditions London/NY session: Longer lookback (7-14 days) for trending conditions How It Works The indicator maps the current price position within the specified lookback period directly to a 0-1000 scale and plots it using ZLEMA (Zero Lag Exponential Moving Average) which has the least lag of the available popular moving averages: Price at recent high = ZTI at 1000 Price at recent low = ZTI at 1 Price at mid-range = ZTI at 500 This creates perfect proportional representation where every price movement translates directly to corresponding ZTI movement, eliminating the false signals common in traditional oscillators. This single, versatile indicator adapts to any market condition, timeframe, or trading style through one simple parameter adjustment, making it an essential tool for traders at every level. Credits ZLEMA techniques widely attributed to John Ehlers. Disclaimer This tool is for educational purposes only and is not financial advice. Backtest and forward‑test before live use, and always manage risk. Please note that I set this as closed source to prevent source code cloning by others, repackaging and republishing which results in multiple confusing choices of the same indicator.
Pine Script® indicator
by Coinbank-MMXXV