Şimdi başlat

"wave" için komut dosyalarını ara

Dominant Cycle Tuned RsiIntroduction Adaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters" , from the use of variable smoothing constant for exponential smoothing to artificial intelligence. The dominant cycle tuned rsi depend on the dominant cycle period of the market, such method allow the rsi to return accurate peaks and valleys levels. This indicator is an estimation of the cycle finder tuned rsi proposed by Lars von Thienen published in Decoding the Hidden Market Rhythm/Fine-tuning technical indicators using the dominant market vibration/2010 using the cycle measurement method described by John F.Ehlers in Cybernetic Analysis for Stocks and Futures . The following section is for information purpose only, it can be technical so you can skip directly to the The Indicator section. Frequency Estimation and Maximum Entropy Spectral Analysis “Looks like rain,” said Tom precipitously. Tom would have been a great weather forecaster, but market patterns are more complex than weather ones. The ability to measure dominant cycles in a complex signal is hard, also a method able to estimate it really fast add even more challenge to the task. First lets talk about the term dominant cycle , signals can be decomposed in a sum of various sine waves of different frequencies and amplitudes, the dominant cycle is considered to be the frequency of the sine wave with the highest amplitude. In general the highest frequencies are those who form the trend (often called fundamentals) , so detrending is used to eliminate those frequencies in order to keep only mid/mid - highs ones. A lot of methods have been introduced but not that many target market price, Lars von Thienen proposed a method relying on the following processing chain : Lars von Thienen Method = Input -> Filtering and Detrending -> Discrete Fourier Transform of the result -> Selection using Bartels statistical test -> Output Thienen said that his method is better than the one proposed by Elhers. The method from Elhers called MESA was originally developed to interpret seismographic information. This method in short involve the estimation of the phase using low amount of information which divided by 360 return the frequency. At first sight there are no relations with the Maximum entropy spectral estimation proposed by Burg J.P. (1967). Maximum Entropy Spectral Analysis. Proceedings of 37th Meeting, Society of Exploration Geophysics, Oklahoma City. You may also notice that these methods are plotted in the time domain where more classic method such as : power spectrum, spectrogram or FFT are not. The method from Elhers is the one used to tune our rsi. The Indicator Our indicator use the dominant cycle frequency to calculate the period of the rsi thus producing an adaptive rsi . When our adaptive rsi cross under 70, price might start a downtrend, else when our adaptive rsi crossover 30, price might start an uptrend. The alpha parameter is a parameter set to be always lower than 1 and greater than 0. Lower values of alpha minimize the number of detected peaks/valleys while higher ones increase the number of those. 0.07 for alpha seems like a great parameter but it can sometimes need to be changed. The adaptive indicator can also detect small top/bottoms of small periods Of course the indicator is subject to failures At the end it is totally dependent of the dominant cycle estimation, which is still a rough method subject to uncertainty. Conclusion Tuning your indicator is a great way to make it adapt to the market, but its also a complex way to do so and i'm not that convinced about the complexity/result ratio. The version using chart background will be published separately. Feel free to tune your indicators with the estimator from elhers and see if it provide a great enhancement :) Thanks for reading ! References for the calculation of the dominant cycle estimator originally from www.davenewberg.com Decoding the Hidden Market Rhythm (2010) Lars von Thienen Ehlers , J. F. 2004 . Cybernetic Analysis for Stocks and Futures: Cutting-Edge DSP Technology to Improve Your Trading . Wiley
Pine Script® göstergesi
alexgrover tarafından
8
Surface Roughness EstimatorIntroduction Roughness of a signal is often non desired since smooth signals are easier to analyse, its logical to say that anything interacting with rough price is subject to decrease in accuracy/efficiency and can induce non desired effects such as whipsaws. Being able to measure it can give useful information and potentially avoid errors in an analysis. It is said that roughness appear when a signal have high-frequencies (short wavelengths) components with considerable amplitudes, so its not wrong to say that "estimating roughness" can be derived into "estimating complexity". Measuring Roughness There are a lot of way to estimate roughness in a signal, the most well know method being the estimation of fractal dimensions. Here i will use a first order autocorrelation function. Auto-correlation is defined by the linear relationship between a signal and a delayed version of itself, for exemple if the price goes on the same direction than the price i bars back then the auto-correlation will increase, else decrease. So what this have to do with roughness ? Well when the auto-correlation decrease it means that the dominant frequency is high, and therefore that the signal is rough. Interpretation Of The Indicator When the indicator is high it means that price is rough, when its low it indicate that price is smooth. Originally its the inverse way but i found that it was more convenient to do it this way. We can interpret low values of the indicator as a trending market but its not totally true, for example high values dont always indicate that the market is ranging. Here the comparison with the indicator applied to price (orange) and a moving average (purple) The average measurement applied to a moving average is way lower than the one using the price, this is because a moving average is smoother than price. Its also interesting to see that some trend strength estimator like efficiency ratio can treat huge volatility signals as trend as shown below. Here the efficiency ratio treat this volatile movement as a trending market, our indicator instead indicate that this movement is rough, such indication can avoid situation where price is followed by another huge volatile movement in the opposite direction. Its important to make the distinction between volatility and trend strength, the trend is defined by low frequencies components of a signal, therefore measuring trend strength can be resumed as measuring the amplitude of such frequencies, but roughness estimation can do a great job as well. Conclusion I have showed how to estimate roughness in price and compared how our indicator behaved in comparison with a classic trend strength measurement tool. Filters or any other indicator can be way more efficient if they know how to filter according to a situation, more commonly smoothing more when price is rough and smoothing less when price is smooth. Its good to have a wider view of how market is behaving and not sticking with the binary view of "Trending" and "Ranging" . I hope you find a use to this script :) Best Regards
Pine Script® göstergesi
alexgrover tarafından
3
BE-EMA(12,26) (Blue Empire Exponential Moving Average) Simple EMA where you get a CROSS mark between EMA 12 and EMA 26. Each time a cross happens, a spot gets created. If it's cyan, it goes up. If it's magenta, it goes down. I'm studying Trading at Blue Empire Academy, if you want to know more send me a PM. Wave Analysis study the wave's behavior and tries to predict by using trendlines, elliot waves, fibonacci retracements, and EMAs basically. In this Indicator, It's a confirmation when EMA 12 goes over to confirm the price may go up. and Vice versa. Hope you like, please share if you think it's useful and comment if you think this can be better. Thank you again for reading >> This is just an indicator, it doesn't predict the future. Use it at your own risk. << ########## All the credits to @tracks, a genius who helped me polish the code. :] thank you.
Pine Script® göstergesi
WavePrinciple-Net tarafından
SMMA Analyses - Buy / Sell signals and close position signals This script combines the usage of the SMMA indicator in order to provide signals for opening and closing trades, either buy or sell signals. It uses two SMMA , a fast and a slow one, both configurable by the users. The trigger of Buy and Sell Signals are calculated through the SMMA crosses: Buy Signals : The fast SMMA crosses over the slow SMMA . They are highlighting by a green area and a "B" label. Sell Signals : The fast SMMA crosses under the slow SMMA . They are highlighting by a red area and a "S" label The trigger of Close Buy and Close Sell Signals are calculated through the close price crosses with the fast SMMA: Close Buy Signals : The fast SMMA crosses under the close price and at the same time the trend is bullish , so the fast SMMA is greater than the slow SMMA . They are highlighted by a lighter green area Close Sell Signals : The fast SMMA crosses over the close price and at the same time the trend is bearish , so the fast SMMA is lower than the slow SMMA . They are highlighted by a lighter red area Few important points about the indicator and the produced signals : This is not intended to be a strategy, but an indicator for analyzing the SMMA conditions. It gives you the triggers depending on the real time analysis of the SMMA and prices, but not being a proper strategy, pay attention about "fake signals" and add always a visual analysis to the provided signals Following this indicator, the trade positions should be opened only when a cross happens. Either in this case, analyse the chart in order to see if the signals are a "weak" ones, due to "waves" around the SMMA . In these cases, you might wait for the next confirmation signals after the waves, when the trend will be better defined The close trade signals are provided in order to help to understand when you should close the buy or sell trades. Even in this case, always add a visual analysis to the signals, and pay attention to the support/resistance areas. Sometimes, you can have the close signals in correspondence to support/resistance areas: in these cases wait for the definition of the trend and eventually for the next close trade signals if they will be better defined
Pine Script® göstergesi
quirimmo tarafından
5
Fractal HelperA spinoff from a previous script I published, this configurable indicator also selects highs and lows and then plots a trend line that bounces between them. In addition, it also iterates this up to two more times in a quasi-fractal manner, on larger time scales, and plots them on the same graph. Of course this will not spit out Elliott waves, but with adjusting, it could aid in discerning one wave from another. I may experiment with the security function again to get a better, longer L3 plot, although charts are limited in duration anyway.
Pine Script® göstergesi
Lemrin tarafından
2
CMYK XIAM OPEN◊ Introduction This is project XIAM, a work in progress. Recently i came across the repainting problem. Since then i haven't seen any bot-code that makes > 5% profit in two weeks with 0.25% fees/trade. People who make good bots either bluff or don't share the code. they let you rent it. I aim to understand, learn it, write it myself. And share my findings with whoever shares with me. ◊ Origin Based on RMI (RSI with momentum) and SMA, and values derived from those. ◊ Usage Currently an investigative script. ◊ Theoretical Approaches Philosophy α :: Cleansignal :: Cleaning up the signal, from irregularities that cause unpredictable results. Merging available tickers of a pair into one. Merging available tickers of different coins into one in the correct proportion. (eg. Crypto market cap) Removing Jitter, and smoothing signal without delay. Philosophy β :: Rythmic :: Syncing into the rythm's, to never miss the que, and trade on every theoretical low/high Searching Amplitude, Period, Phase Shift, Frequency's of the carrier waves. Marking Acrivity/inactivity of the carrier waves. Partial Fractal repetition asses-able with above data? Philosophy γ :: consequential :: Seeking for Indicatory events and causal relations Probability / reward. Confirmation and culmination. ... ◊ Community Wanna share your findings ? or need help resolving a problem ? CMYK :: discord.gg AUTOTVIEW :: discordapp.com
Pine Script® stratejisi
MVPMC tarafından
8
SB_Wavetrend_OscillatorA take on LazyBear's Wavetrend_Oscillator The idea is bit modified. Original Idea: When the oscillator is above the overbought band (red lines) and crosses down the signal (dotted line), it is usually a good SELL signal. Similarly, when the oscillator crosses above the signal when below the Oversold band (green lines), it is a good BUY signal. Modified Idea: Carrying the original idea, if the oscillator crosses the overbought band (red lines) and crosses down the signal (dotted line) twice without crossing the Oversold band (green lines) and crosses above the signal (dotted line), a buy or sell signal will take place when the oscillator crosses the dotted line and the value of oscillator is >0(if sell order is to be placed) and <0(if buy order is to be placed). For the original idea you can refer to: Let me know if any refinements could improve the oscillator.
Pine Script® stratejisi
SudeepBisht tarafından
2
Fractal Quad Components8 Fractal Resonance Component indicators on a chart eats up LOTS of vertical space, so we're providing this Fractal Quad Components script to group 4 components a bit more compactly (eliminating the margin whitespace between indicator rows). To view 8 components you'll need to add a second instance of this script to your chart and set its Base Timescale Multiplier to 16. Then grab the dividers to stretch both instances to a good viewing height. One disadvantage of this grouping method is that to read off the x2, x4, and x8 lead and lag line values, you'll need to mentally add 200, 400 or 600 respectively. We also replaced the "Extreme" > +-100% black crosses (+) with more subtle purple circle outlines. These extreme crosses are often (but not always) too early to be a major reversal so it's best not to overemphasize them. Significant crosses (> +-75%) are still highlighted with black circle outlines, and are the most likely to be major reversals for buy/sell. Note how the 30-minute oscillator (2nd row) showed the cleanest (black-outlined) reversals on the S&P for the last week of 2016, with just a bit more profit-eating lag than the 15-minute oscillator above.
Pine Script® göstergesi
pythagoras tarafından
1
MACD MultiTimeFrame 1h4h1D [Fantastic Fox]Please insert the indicator into 1h time-frame, otherwise you need to change the lengths' inputs. When there are tops for two of the MACDs and they are near and close* to each other, there is a big opportunity of a "Major Top" for the security, and vice versa for "Major Bottom". This indicator can be used for tracing multi time-frame divergence. Also, it could help traders to identify the waves of Elliott Wave, and as a signal for confirmation of an impulse after a correction or retracement. * They should be on top of each others head, not crossing each other. not necessarily touching, but not so far from each other.
Pine Script® göstergesi
FantasticFox tarafından
1
Ehlers Smoothed Stochastic & RSI with Roofing FiltersRoofing filters, first discussed by Mr.John Ehlers, act as a passband, filtering out unwanted noise from market data and accentuating turning points. I have included 2 indicators with filters enabled. Both support double smoothing via options page. All the parameters are configurable. Info on Roofing Filter and Ehlers Super Smoother: ---------------------------------------------------- The Ehlers' Roofing Filter is an expansion on Ehlers Super Smoother Filter, both being smoothing techniques based on analog filters. This filter aims at reducing noise in price data. In Super Smoother Filter, regardless of the time frame used, all waves having cycles of less than 10 bars are considered noise (customizable via options page). The Roofing Filter uses this principle, however, it also creates a so-called "roof" by eliminating wave components having cycles greater than 48 bars which are perceived as "spectral dilation". Thus, the filter only passes those spectral components whose periods are between 10 and 48 bars. This technique noticeably reduces indicator lag and also helps assess turning points more accurately. More info: - Spectral dilation paper: www.mesasoftware.com - John Ehlers presentation: www.youtube.com ------------------------------------------------------ If you want to use RSI %B and Bandwidth, follow this guide to "Make mine" this chart and get access to the source: drive.google.com For the complete list of my indicators, check this post:
Pine Script® göstergesi
LazyBear tarafından
18
Squeeze Momentum Indicator [LazyBear] Fixed a typo in the code where BB multiplier was stuck at 1.5. Thanks @ucsgears for bringing it to my notice. Updated source: pastebin.com Use the updated source instead of the what TV shows below. This is a derivative of John Carter's "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11). Black crosses on the midline show that the market just entered a squeeze (Bollinger Bands are with in Keltner Channel). This signifies low volatility, market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release". Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator, while I have used a different method (linreg based) to plot the histogram. More info: - Book: Mastering The Trade by John F Carter List of all my indicators:
Pine Script® göstergesi
LazyBear tarafından
663
Wyckoff Schematic by Kingshuk GhoshThe "Wyckoff Schematic" is a Pine Script indicator that automatically detects and visualizes Wyckoff Method accumulation and distribution patterns in real-time. This professional tool helps traders identify smart money movements, phase transitions, and critical market structure points. Key Features- 1. Wyckoff Pattern Detection Auto-detection of all Wyckoff phases (A through E) Accumulation patterns: SC, AR, Spring, SOS, LPS Distribution patterns: BC, UTAD, LPSY Real-time phase identification with color-coded visualization 2. Multi-Timeframe Analysis- Main chart analysis with customizable lookback period 1M Wave View showing monthly perspective in a compact overlay Daily data integration for current month analysis Swing point detection with trend lines 3. Advanced Visualization- Phase boxes with semi-transparent overlays Critical event labels with anti-clutter spacing Horizontal support/resistance lines (dynamic) Zigzag trend lines for price structure Comprehensive table showing current status and key events 4. Customizable Parameters- Adjustable lookback period (20-300 bars) Configurable volume spike multiplier Customizable display options (labels, boxes, lines) Adjustable zigzag sensitivity Configurable wave view height and swing legs Display Settings: Event labels, phase boxes, support/resistance lines Visual Settings: Label size, transparency, offset percentage Zigzag Settings: High/low length Wave View Settings: Toggle, height percentage, swing legs Color Scheme: Phase A: Red Phase B: Teal Phase C: Blue Phase D: Green Phase E: Yellow Bullish: Green Bearish: Red Alert System: Critical event alerts: SC, AR, Spring, SOS, LPS, BC, UTAD, LPSY Phase transition alerts: Markup phase entry ,Customizable alert conditions How to Use- For Beginners: Apply the indicator to any chart Enable "Auto-Detect Wyckoff Patterns" Look for colored phase boxes (A-E) Watch for critical event labels (SC, AR, Spring, etc.) Check the table in top-right corner for current status For Advanced Users: Adjust lookback period based on trading timeframe Modify volume multiplier for sensitivity Customize display to reduce clutter Use wave view for higher timeframe context Set alerts for specific Wyckoff events Unique Selling Points: Comprehensive Detection: Covers all Wyckoff phases and critical events Clean Visualization: Anti-overlap labeling, organized display Multi-Timeframe: Combines current chart with monthly perspective Educational: Helps learn Wyckoff methodology through visualization Professional: Suitable for both retail and institutional analysis Performance Notes: Uses dynamic requests for multi-timeframe data Includes max object limits to prevent performance issues Efficient calculation methods for real-time analysis Intended Users: Price action traders Wyckoff method practitioners Market structure analysts Swing traders and position traders Educational purposes for learning market manipulation patterns Works best on 4H,Daily,Weekly & Monthly Time frame Suitable for all markets (stocks, forex, crypto, futures) Support: The indicator includes comprehensive tooltips and visual cues to help users understand each Wyckoff event and phase. The table provides quick reference to current market conditions and detected patterns. This indicator transforms complex Wyckoff methodology into actionable visual signals, making institutional accumulation/distribution patterns accessible to all traders. Disclaimer: This indicator is for educational purposes only. Always practice proper risk management and combine with your own analysis before making trading decisions. Happy trading.
Pine Script® göstergesi
kingshukghosh71 tarafından
Market Structure Break + RSI ExitSignal Architect™ — Developer Note This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across futures, algorithmic systems, options, and equity trading. Every tool I release is built with one principle in mind: clarity of direction without over-promising or under-delivering. That is why all Signal Architect™ tools emphasize: Market structure first High-probability directional context Clear, visual risk framing No predictive claims, no curve-fit illusions What you are seeing here is only a small glimpse of a much broader internal framework I actively use in live environments. 🧠 Background & Scope Over the years, I have personally developed 800+ programs spanning: Equities Futures Options Dividend & income systems Portfolio construction and allocation logic This includes 40+ Nasdaq-100 trading bots, several of which operate under extremely strict rule-sets and controlled deployment conditions. Nothing shared publicly represents my full system—only educational and analytical previews designed to demonstrate how structure and probability can be aligned visually. 🤝 Support & Collaboration If you find value in what I share: Please subscribe, boost, and share my scripts, Ideas, and MINDS posts You are always welcome to message me directly with questions or if you need something built or adapted Constructive feedback and collaboration are encouraged For traders looking to go deeper, I offer optional memberships that include: Access to additional signals Early previews Occasional free tools and upgrades to support your trading journey 🔗 Membership & Signals: trianchor.gumroad.com ⚠️ Final Note Everything published publicly is for educational and analytical purposes only. Markets carry risk. Discipline and risk management always come first. — Signal Architect™ You can Find my personally developed GBT below chatgpt.com chatgpt.com chatgpt.com ********************************************************************************************************************WHAT THIS INDICATOR DOES This indicator is a structure-first breakout engine designed around how price actually transitions between balance and expansion. It does not predict reversals. It waits for confirmed market structure breaks, then: Anchors risk using recent wave extremes Projects deterministic TP/SL zones Tracks outcomes visually and statistically Optionally exits early when momentum exhausts (RSI fade) This makes it ideal for: Directional traders Swing continuation setups Expansion phases after compression 🧠 CORE SIGNAL ARCHITECT LOGIC 1️⃣ Market Structure Identification The system uses pivot highs and pivot lows to define true structural levels: Pivot High break → Long bias Pivot Low break → Short bias This avoids: Random candle breakouts Intrabar noise False momentum spikes Only confirmed structural levels are traded. 2️⃣ Entry Trigger (Structure Break) A trade is triggered only when price closes through structure: Direction Requirement Long Close breaks above last confirmed pivot high Short Close breaks below last confirmed pivot low 📌 Important: No signal fires if you are already in a trade — one position at a time, clean sequencing. 3️⃣ Stop-Loss Logic (Wave-Anchored Risk) Stops are not arbitrary. They are anchored to: Recent wave low (for longs) Recent wave high (for shorts) This ensures: Stops sit beyond real market structure Risk reflects actual auction failure, not candle noise 4️⃣ Take-Profit Logic (Risk × Reward) Take-profit is mechanically derived: TP = Risk × Risk:Reward Ratio Examples: RR = 1.0 → TP = same distance as SL RR = 1.5 → TP = 1.5× SL distance RR = 2.0 → TP = expansion-focused swings This keeps results comparable, repeatable, and testable. 5️⃣ Optional RSI Exit (Momentum Fade) RSI is not used for entries. It is used only as an optional early-exit filter: Trade RSI Condition Long RSI crosses down from Overbought Short RSI crosses up from Oversold This is designed for: Reducing give-back during exhaustion Tight markets where expansion stalls Volatility contraction environments 🔕 You can disable this entirely for pure structure trading. 📦 VISUAL OUTPUTS 🔲 Risk Boxes (Core Feature) Every trade plots: Green box = profit zone Red box = loss zone Boxes: Extend forward bar-by-bar Stop updating once trade resolves Allow instant visual expectancy review 🔺 Signal Arrows Green ▲ = Structure Break Long Red ▼ = Structure Break Short No repainting. No intrabar guessing. 🧮 Performance Stats Table Tracks: Total trades Wins Losses Win rate % 📌 This is contextual feedback, not a promise of future results. 🎯 RECOMMENDED TIMEFRAMES (VERY IMPORTANT) This indicator performs best when structure matters. ⭐ PRIMARY TIMEFRAMES (Recommended) Timeframe Use Case 15-Minute Intraday structure breaks, clean expansions 30-Minute Session-level continuation 1-Hour Swing structure, reduced noise 2-Hour Institutional rhythm, fewer false breaks 4-Hour Macro structure legs ✔ These timeframes allow pivots to form properly ✔ Stops remain structurally meaningful ✔ RR math stays realistic ⚠️ SECONDARY / CONDITIONAL Timeframe Notes 5-Minute Use only during trend days Daily Works well, but slower signal frequency 🚫 NOT RECOMMENDED Timeframe Why 1–3 Minute Too much pivot distortion Tick / Seconds Breaks structure logic entirely This is not a scalping indicator. 🟩 BACKGROUND BIAS SHADING Green tint → Active long bias Red tint → Active short bias No tint → Neutral / flat This helps: Avoid over-trading Stay aligned with active structure Recognize when the system is waiting 🧠 HOW TO USE THIS CORRECTLY Best Practices ✔ Trade only in expansion environments ✔ Let pivots form before expecting signals ✔ Respect the stop — it is structurally valid ✔ Journal results per timeframe Avoid ✘ Forcing trades in chop ✘ Using this as a reversal indicator ✘ Lowering timeframe to “get more signals” ⚠️ IMPORTANT DISCLAIMER This indicator is for educational and analytical purposes only. It does not: Predict markets Guarantee profits Replace risk management Trading involves substantial risk and can result in loss of capital. Past performance does not guarantee future results.
Pine Script® göstergesi
SignalArchitecT_AI tarafından